Abstract
Background
The prevention and treatment of eating disorders relies on an extensive body of research that includes various foci and methodologies. This scoping review identified relevant studies of eating disorders, body image, and disordered eating with New Zealand samples; charted the methodologies, sample characteristics, and findings reported; and identified several gaps that should be addressed by further research.
Methods
Using scoping review methodology, two databases were searched for studies examining eating disorders, disordered eating, or body image with New Zealand samples. Snowball methods were further used to identify additional relevant articles that did not appear in initial searches. Two independent reviewers screened the titles and abstracts of 473 records. Full text assessment of the remaining 251 records resulted in 148 peer-reviewed articles being identified as eligible for the final review. A search of institutional databases yielded 106 Masters and Doctoral theses for assessment, with a total of 47 theses being identified as eligible for the final review. The included studies were classified by methodology, and the extracted information included the study foci, data collected, sample size, demographic information, and key findings.
Results
The eligible studies examined a variety of eating disorder categories including binge-eating disorder, bulimia nervosa, and anorexia nervosa, in addition to disordered eating behaviours and body image in nonclinical or community samples. Methodologies included treatment trials, secondary analysis of existing datasets, non-treatment experimental interventions, cross-sectional observation, case-control studies, qualitative and mixed-methods studies, and case studies or series. Across all of the studies, questionnaire and interview data were most commonly utilised. A wide range of sample sizes were evident, and studies often reported all-female or mostly-female participants, with minimal inclusion of males and gender minorities. There was also an underrepresentation of minority ethnicities in many studies, highlighting the need for future research to increase diversity within samples.
Conclusion
This study provides a comprehensive and detailed overview of research into eating disorders and body image in New Zealand, while highlighting important considerations for both local and international research.
Keywords: Eating disorders, Anorexia nervosa, Bulimia nervosa, Binge eating disorder, Scoping review, New Zealand
Plain English summary
Research into eating disorders should include different methods, and should be relevant to people of different ages, gender identities, and ethnicities. We completed a scoping review of research into eating disorders, disordered eating, and body image in New Zealand samples. We searched academic databases for relevant articles, and then screened the articles for eligibility. We then hand-searched key articles, and searched databases again using the names of key authors. A total of 148 peer reviewed articles and 47 theses were eligible for the review, and from these we extracted data on the study method, sample characteristics, and the focus and results. A wide range of methods and sample sizes were reported, and the studies explored several different eating disorders, as well as disordered eating and body image in nonclinical samples. However, the studies often involved all or mostly female samples, few to no gender minority participants, and an underrepresentation of minority ethnicities. Funders should provide adequate time and financial resources to fund recruitment from historically under-represented groups, emphasising their involvement as active researchers. In addition, funders should consider financing the use of novel or underutilised methods to advance knowledge in this field.
Introduction
Eating disorders such as binge-eating disorder (BED), bulimia nervosa (BN), and anorexia nervosa (AN) are complex and potentially life-threatening psychiatric illnesses. Research in the New Zealand population suggests a lifetime prevalence of 1.9% for BED, 1–1.3% for BN, and 0.6% for AN [1, 2]. These disorders create a significant burden upon the lives of those affected, with many individuals facing prolonged periods of inpatient treatment or multiple relapses. Although research into eating disorders has made substantial progress in recent years, the limited success of available treatments underscores the need for a more complete picture of how to best understand and approach this cluster of disorders.
In addition to the more commonly acknowledged eating disorders noted above, there is a growing awareness surrounding those whose symptoms fall within the Diagnostic and Statistical Manual (DSM-5) [3] other specified feeding and eating disorders (OSFED) diagnostic category. These disorders include atypical or subthreshold forms of BN, AN, and purging disorder which previously were included in the DSM-IV eating disorder not otherwise specified (EDNOS) category, and the newly included night eating syndrome. Despite this group of disorders having been identified as being the most prevalent [4], research surrounding them is comparatively sparse.
At a sub-threshold level, eating disorder psychopathology is common in New Zealand, and has been reported in adolescents, university students, and middle-aged samples [5–7]. Disordered eating is often tightly intertwined with body dissatisfaction—a core symptom in the diagnostic criteria for AN and BN [3], which is also suggested to be relevant for BED [8]. Body dissatisfaction is regarded as a significant risk factor for the development of eating disorders [9, 10], with etiological models commonly citing the relationship between body dissatisfaction and subthreshold disordered eating. Body dissatisfaction can be seen as almost normative among young women and, increasingly, young men [11]. In light of this, our understanding of disordered eating can be supplemented by research into body dissatisfaction at both a clinical and subthreshold level.
Although many aspects of eating disorders, subthreshold disordered eating, and body dissatisfaction are studied extensively internationally, it is often unclear whether findings generalise to a New Zealand population. Moreover, even where such findings are applicable, there remains a need to understand these issues in a manner consistent with New Zealand’s unique sociocultural context [12, 13]. Achieving this requires a comprehensive body of research to be conducted within New Zealand, ideally with a range of study designs to ensure a detailed and broad understanding of these issues. Moreover, this research should adequately cover the range of issues pertaining to body image and eating disorders, and include samples that are representative of the population as a whole (such as Indigenous Māori and Pasifika populations). To this end, it is critical that local researchers are aware of what is available within the literature and what is lacking, thus informing the direction for future research and methodologies. However, we were unable to identify any comprehensive reviews of relevant studies involving New Zealand-based participants, thereby hindering progression of research into the issues at hand.
In an effort to bridge the gap between extant research and future projects, the present review scopes and synthesises the foci reported by studies examining eating disorders, disordered eating, and body image within studies that include New Zealand samples. This review was informed by scoping methodology outlined by the Preferred Reporting Items for Systematic Review and Meta-Analysis extension for Scoping Review (PRISMA-ScR) [14]. It involved: (a) the identification of relevant journal articles and theses; (b) charting the foci, methodologies, sample characteristics, and findings reported in the identified literature; and (c) a descriptive review of what was included, as well as gaps and areas which may be expanded upon.
Methods
Research question
The scoping review was informed by the research question: “To date, what are the methodologies and results reported by studies that have examined eating disorders, disordered eating, and body image in clinical and non-clinical samples in New Zealand?”.
Eligibility
Meeting initial eligibility criteria was dependent on (1) the full text being available, (2) some portion of the sample living in New Zealand during the research, (3) the article or thesis being available in English, (4) the record not being a duplicate, and (5) the topic or a part of the focus being within scope. The scope was informed by the overarching research question of this review, and research items needed to include an examination of eating disorders, disordered eating, or body image in New Zealand samples.
Included eating disorder diagnoses were BED, BN, and AN in addition to disorders in the Other Specified Feeding and Eating Disorder (OSFED) category (DSM-5) or the former Eating Disorder Not Otherwise Specified (EDNOS) category (DSM-IV-TR) [15]. Also included were studies where only symptoms of these disorders (e.g. binge eating, purging) were assessed. Not included were Avoidant/Restrictive Food Intake Disorder (ARFID), pica and rumination disorder; categories shifted to the eating disorders section of DSM-5 from the DSM-IV-TR Feeding and Eating Disorders of Early Childhood Section [3, 15]. Body image in the context of this review included perceptions of one’s own body shape and size, but excluded research items that focused only on concerns such as perceived facial flaws [16], which are often a feature of body dysmorphic disorder. Lastly, research on samples of clinicians working in eating disorder treatment were included, given that this adds considerably to knowledge surrounding eating disorders and their treatment in New Zealand.
Both qualitative and quantitative studies were deemed in scope, as were case studies and case series. International studies that included original data from one or more New Zealand participants were included; however, meta analyses and systematic reviews were not, given that relevant data were likely already published elsewhere. It was decided that conference abstracts would be excluded, given that the findings were either published elsewhere, or the abstracts did not include sufficient information to meet basic eligibility criteria. Lastly, any trials that were in progress but unpublished were also excluded, as it would not be possible to chart the findings of those studies.
Initial database search
To locate references for journal articles from a wide range of sources, relevant search terms were entered into Ovid (EMBASE, psychINFO). The search terms “eating disorder*.kw”, “anorexia nervosa.kw”, “bulimia nervosa.kw”, “binge eating disorder.kw”, “disordered eating.kw”, and “body image.kw” were combined using the “OR” function. This result was then combined with “new zealand.af” using the AND function, and the results were deduplicated. No additional search limitations were used in Ovid. The cut-off date for this and subsequent searches was set to 20 May, 2021.
Snowball searches
During the initial screen of records returned in Ovid, seven authors known to publish research within this scope frequently appeared as first authors. Publications from these authors were further searched in Ovid by entering the search terms “jordan jennifer.au”, “carter frances a.au”, “gendall kelly a.au”, “mcintosh virginia v w or mcintosh virginia violet williams or mcintosh virginia vw).au”, “bulik cynthia m.au”, “wilksch simon m or wilksch sm.au”, “latner janet d or latner jd.au”. These searches were combined using the OR function, and the result was then combined with “new zealand.af” using the AND function. The results were deduplicated within Ovid before being merged with the initial OVID search records, and the combined results were again deduplicated.
The citations within key papers were also hand-searched by two reviewers (HK and LC) for additional relevant publications within New Zealand. Key papers included relevant epidemiological studies and treatment trials known among New Zealand eating disorders researchers. Referenced papers were then located and screened using the same criteria and checklist. Furthermore, when papers reporting secondary analyses referred back to publications which described original study samples, those publications were identified and screened for inclusion.
Grey literature search
To locate Master’s and Doctoral theses, institutional research archives were searched for each of the University of Otago (OURArchive), University of Waikato (Research Commons), University of Canterbury (College of Science, College of Arts), Massey University (Massey Research Online), Auckland University of Technology (Open Repository), and Victoria University of Wellington (Open Access), and University of Auckland (ResearchSpace). A total of 29 potentially relevant theses, including 25 from the University of Auckland, were unavailable online or were only accessible only to staff and students at the relevant institutions. As such, full-text screening was unable to be completed for these records.
The terms “binge eating disorder”, “bulimia nervosa”, “anorexia nervosa”, and “body image” were entered into each university research archive and limited to thesis where possible. The terms “eating disorder” and “disordered eating” were also entered into the same archives. In some instances, these latter terms returned the same results as one of the initial four search terms, such as the results for “eating disorder” being the same as those for “binge eating disorder” in one database. In such cases, results were not added to the final number of records to be screened. In addition, when a very large number of unrelated results were returned for thesis search terms, the results for those terms were limited to “title contains”.
In some cases, the findings from grey literature had already been published in peer reviewed journals. To avoid overlap in these situations, the grey literature record was removed as a duplicate in favour of the published article. Further journal articles identified during this process were labelled as being found via snowball search.
Record screening and eligibility
Search results from OVID were exported into EndNote, and then entered into an Excel spreadsheet to be screened separately by two blind reviewers (HK and LC). The reviewers first pre-screened the titles and abstracts of each record for relevance. Journal articles that were eligible for full-text searching were then located where possible, and the reviewers filled out a checklist to determine whether predetermined eligibility criteria were met. Following blind review, authors HK and LC met to discuss a small number of cases where the decision to include or exclude a record was inconsistent. In these cases, the records were further assessed and a final decision was agreed upon for each, with a total of 10 papers being discussed and 7 of these being excluded from the review.
Data extraction and study classification
For each included research item, a range of data were extracted. The relevant population(s) or construct(s) of interest were identified, including any specific eating disorders being examined, disordered eating among nonclinical (NC) populations, or clinicians working within eating disorder treatment settings. The focus of each study was also briefly summarised, as were the key data collection instruments or measures. Gender and ages of participants were recorded as specified in the research article or thesis, however gender data were converted to percentages where applicable, and age ranges were favoured where available. Ethnicities were also recorded as specified, however for consistency, terms such as “Caucasian” and “New Zealand European” were recorded as “European” for the purposes of this review, and these data were also converted to percentages where applicable. The key findings were summarised based upon information within abstracts and full texts. Lastly, each study was categorised according to the primary methodology used, while those that analysed data from existing treatment trial and survey datasets were labelled as secondary analyses.
The scoping review has been registered on OSF (https://osf.io/c8jwn). No ethical approval was required for this review.
Results
Total records included
The total number of records identified and excluded at each step of the literature search are detailed in Fig. 1. A total of 195 records were included in the final review, with 148 journal articles and 47 theses (13 Doctoral, 34 Master’s) having met full eligibility criteria for the study. Journal articles were published between December 1978 and May 2021, while theses were completed between 1990 and 2021. The specific completion dates for two theses finalised in 2021 were unable to be verified, however the decision was made to include those in the review. The number of publications per year, in addition to the cumulative total of publications, is shown in Fig. 2.
Study classifications
Study methodologies across the journal articles and theses fell into seven broad categories of treatment trials (18 records, Table 1), secondary analyses of existing datasets (50 records, Table 2), non-treatment experimental interventions (17 records, Table 3), cross-sectional research (63 records, Table 4), case control studies (9 records, Table 5), qualitative or mixed-methods (28 records, Table 6), or case studies and series (10 records, Table 7).
Table 1.
References | Population focus | Focus | Key data collected | Sample n | Gender | Age | Ethnicity | Summary findings |
---|---|---|---|---|---|---|---|---|
Babbott [59]* | Non-clinical (NC) | Non-concurrent multiple baseline: Trialling acceptance and commitment therapy for disordered eating | EAT-26, AAQ, SWLS, SA-45 | 17 | 12% M 88% F | 18–64 | 64.7% European, 5.9% Māori, 11.8% Indian, 11.8% Latin American, 5.9% South African | Significant decrease in eating pathology, but not general pathology |
Bulik [18] | BN (BTS) | RCT: Results from end of RCT and follow-up at 6 and 12 months. Therapies were CBT + then randomisation to 1) exposure with response prevention to binges (B-ERP), 2) to purging (P-ERP) or 3) relaxation | Physiological, biological measures, self-report measures, SCID I and II, HDRS, GAF, EDI | 135 | F | 17–45 |
BTS sample 91% European 6% Maori, Pasifika, Asian |
All therapies were effective and did not differ on abstinence or binge purge frequency. B-ERP had advantage for other ED symptoms, and mood but this was not maintained over follow-up |
Carter [60] | BN (BTS) | RCT: 3-year follow up of BTS | Structured interview of ED symptoms, EDI, HDRS, GAF | 135 (113 at follow up) | F | 17–45 | BTS sample | At the 3-year follow-up, 85% of the sample had no current diagnosis of bulimia nervosa. Failure to complete CBT was associated with inferior outcome. No differential effects were found for exposure versus nonexposure-based treatment |
Carter [61] | AN (ATS) | RCT: long-term efficacy of three psychotherapies for AN (ATS) | SCID (DSM-IV). Global AN symptom status,, physical, cognitive and behavioural ED measures, EDE, EDI-2, GAF, HDRS | 43 | F | 17–40 |
ATS sample 100% European |
SSCM advantage over CBT and IPT during treatment was not sustained. All effective bus no significant differences among treatments at follow-up |
Clyne [62] | BED | Single case design with multiple baseline evaluation: preliminary trial of a psychoeducational group programme of emotion regulation for treatment of BED | Daily Log of Eating and Emotions, BES, QEWP, DASS, PSS, The COPE, EIS, TAS-20, ATSS | 11 | F | 18–69 | 100% European | Reduced binge-eating, alexithymia, stress, and depression. Improvements in cognition. At 2/3 month follow up, all participants no longer met criteria for BED |
Clyne [63] | BED | Non-randomised with waitlist control group: regulation of negative emotion as a possible BED treatment | QEWP, EDE, EDE-Q, BES, EES | 23 | F | 18–65 | 91.3% European, 4.3% Māori, 4.3% Other | Treatment outcomes comparable to existing therapies for BED |
Davey [64]* | BN, AN, EDNOS, NC | Quasi-experimental (non-randomised) 2-group comparison: Efficacy of two pre-treatment interventions focused on motivation. Groups were motivation + education versus motivation alone | EDE-Q4, BDI-II, Dflex, MSOC, Change Continuum | 252 | 97% F, 3%M | 11–62 | 88.5% European, 4.8% Māori, 4.8% Asian, 0.8% Pasifika, 0.4% South American, 0.8% Middle Eastern | Improvements in motivational stage of change were observed in both groups, while improvements in patient readiness, confidence and importance to change as well as treatment attendance were identified in the pure Motivation Group |
de Hoedt Norgrove [65]* | Emotional eaters | Multiple baseline design: Acceptance and commitment therapy (ACT) for emotional eating using a multiple baseline | Feedback questionnaire, MEAQ, valuing questionnaire, AAO, CES, GHQ, journal entries (e.g. frequency of unhealthy eating) | 8 |
6 F 2 M |
18–52 | 75% European, 12.5% European/Māori, 12.5% Māori/ Pasifika | Reduction in binge eating, associated with decreased experiential avoidance and cognitive inflexibility |
McIntosh [17] | AN (ATS) | RCT: comparing efficacy of CBT versus IPT versus a control therapy (nonspecific supportive clinical management | Global AN symptom status, SCID for DSM-IV, EDE, HDRS, GAF, EDI-2 | 56 | F | 17–40 |
ATS sample 96% European |
Nonspecific supportive clinical management (subsequently called SSCM) superior in completers and intention to treat analyses |
McIntosh [66] | BN (BTS) | RCT: Long-term follow up of participants from RCT for BN | SCID, Structured interview of ED symptoms, EDI, HDRS, GAF | 135 (109 at follow up) | F | 14–45 | BTS sample | Those in in SSCM group more likely to have a good outcome post-treatment, but no differences between groups at long-term (5 year) follow-up |
McIntosh [19] | BED, BN (BEP) | RCT: efficacy of three therapies for binge eating: Standard CBT versus CBT augmented with schema therapy versus CBT with a focus on appetite | SCID-I and II, EDE-12, EDI-2, SCL-90-R | 56 | F | 16–65 | BEP sample | All groups improved but no significant differences between therapies |
Mercier [67]* | BN | RCT: Tested intervention aiming to alter coping behaviours and cognitive processes in those with BN versus directly targeting clinical features. Wait-list control and follow-up design | General information questionnaire, DSSI-R, The Bulimia Test, Affectometer 2, BDI, RSES, STAI, TAI | 24 | F | 19.3–41.1 | Not stated | Decreased BN behaviours and cognitions following alternative intervention, little difference between intervention groups by 3 years |
Roberts [68] | BN, AN | Single arm design: Efficacy and feedback on group cognitive remediation therapy | Dflex, Autism Quotient, EDE-Q, DASS-21, BMI, qualitative questionnaire | 28 |
96% F 4% M |
M 25.07 (SD 8.25) | Not stated | Intervention was effective and had positive qualitative feedback |
Then [69]* | AN | Single arm design: Efficacy of metacognitive therapy modified for the treatment of A | BMI, EDE-Q, MCQ-30, TCQ | 12 | Not stated | M 22.17 (SD 5.17) | 1 NZE, 2 Māori, 3 Samoan, 4 Cook island, 5 Tongan, 6 Niuean, 7 Chinese, 8 Indian, 9 other | Mixed results but there were reductions in patients positive beliefs about worry, depressive symptoms, worries and rumination levels following metacognitive therapy |
Wallis [70]* | BED | Quasi-experimental (non-randomised intervention) with control: Teaching emotional discrimination and management in a group programme for those with BED | EDI-2, MHO, BDI, BAI, EES, COPE, GHQ | 6 (BED n = 3, NC n = 3) | F | 25–47 | 83% European, 17% Māori | EDI-2, EES, BDI, BAI, and COPE results indicated positive results following the programme |
Wilksch [71] | NC (MS -T) | RCT: Trialling online programs for efficacy in reducing risk of disordered eating in an Australasian sample | EDE-Q | 575 | F | 18–25 | 82.2% European, 8.8% Asian, other not stated | Media Smart Targeted program reduction in DE |
Wilksch [72] |
BED, BN, AN, OSFED, NC (MS—T) |
RCT: Programme seeking to reduce risk of eating disorder diagnosis in NZ and Australia | EDE-Q | 316 (MS-T n = 122 (baseline ED diagnosis n = 90): CT = 194 (baseline ED diagnosis n = 130)) | F |
M 20.8 (SD 2.26) |
MS-T sample | At 12-month follow up MS-T participants were 75% less likely than controls to meet ED criteria, this finding was also significant amongst both non-treatment seekers and treatment seekers |
Wilksch [73] | NC | RCT: An online 9-module eating disorder risk reduction program (Media Smart—Targeted (MS-T)) and control condition (positive body-image tips) | DASS-21, Mini International Neuropsychiatric Interview (dependence on alcohol, dependence on recreational drugs, high suicidality) | 316 | F | 18–25 | States most common is European and Asian | MS-T shows positive effect on eating disorder risk, as well as other mental health factors |
NC non-clinical, RCT randomised-controlled trial, EAT Eating Attitudes Questionnaire, AAQ Acceptance and Action Questionnaire, SWLS Satisfaction with Life Scale, SA-45 Symptom Assessment-45 Questionnaire, SCID Structured Clinical Interview for DSM Disorders, HDRS Hamilton Depression Rating Scale, GAF Global Assessment of Functioning Scale, EDI Eating Disorders Inventory, EDE Eating Disorder Examination, BES Binge Eating Scale, QEWP Questionnaire on Eating and Weight Patterns, COPE Coping Orientation to Problems Experienced Inventory, EI Emotional Intelligence, TAS-20 Toronto Alexithymia Scale, ATSS Activated Thoughts in Simulated Situations, EDE Eating Disorders Examination interview, EDE-Q Eating Disorder Examination Questionnaire, EES Emotional Empathy Scale, BDI Beck Depression Inventory, Dflex Detail and Flexibility Questionnaire, MSOC Motivational Stages of Change, MEAQ Multidimensional Experiential Avoidance Questionnaire, AAQ The Acceptance and Action Questionnaire, CES Compulsive Eating Scale, GHQ General Health Questionnaire, CSPRS-AN Collaborative Study Psychotherapy Rating Scale—Anorexia Nervosa, SCL-90-R Symptom Checklist-90-Revised, DSSI-R Delusions-Symptoms-State Inventory-Revised, RSES Rosenberg Self-Esteem Scale, STAI State Trait Anxiety Inventory, TAI Test Anxiety Inventory, DASS Depression Anxiety and Stress Scale, PSS Perceived Stress Scale, EIS Emotional Intelligence Scale, BMI body mass index, MCQ Metacognition Questionnaire, TCQ Thought Control Questionnaire, MHO Middlesex Hospital Questionnaire, COPE Coping Orientation to Problems Experienced
*Identifies that the record is a thesis
Table 2.
References | Population focus | Focus | Key data collected | Sample n | Gender | Age | Ethnicity | Summary findings |
---|---|---|---|---|---|---|---|---|
Anderson [74] | BN (BTS) | Temperament and character ratings at the beginning of CBT intervention and one year later | TCI, HDRS, B-ERP, P-ERP | 135 (91 for this report) | F | 17–45 | BTS sample | Decreases in harm avoidance temperament and increase in self-directedness |
Bourke [75] | BN (BTS) | Neuropsychological function in BN with comorbid psychological conditions | Diagnostic interviews, neuropsychological testing | 41 | F | 17–45 | BTS sample | Borderline personality disorder and MD together associated with impaired cognitive function |
Bulik [76] | BN (BTS) | Examined BN sample with and without personality disorders, and self-directedness in predicting presence of personality disorders | SCID for DSM-III-R, HDRS, custom structured interview of BN symptoms, GAF | 76 | F | > 16 | BTS sample | 63% had 1or more personality disorder diagnoses, which were associated with greater depressive symptoms, laxative use, greater body dissatisfaction, worse global functioning, and lower self-directedness |
Bulik [77] | BN (BTS) | Examining histories of anxiety disorders in those with BN | SCID I (DSM-III-R), age onset, Self-report ED symptoms | 114 | F | 17–45 | BTS sample | Anxiety disorders onset earlier than BN |
Bulik [78] | BN (BTS) | Salivary reactivity to palatable food before, during, and after treatment | SCID (DSM-III-R), HDRS, Physiological responses | 31 | F | 18–40 | BTS sample | After treatment, salivation increased significantly (p = .002) over baseline after presentation of the same foods |
Bulik [79] | BN (BTS) | Comparing onset of binge eating, dieting and BN in relation to clinical characteristics and personality traits | SCID modified, SCID II, HDRS, TCI | 108 | F | 17–45 | BTS sample | Dieting preceded binge eating in the majority of women with BN. In the minority of women where binge eating precedes dieting, markedly higher novelty seeking and lower harm avoidance are displayed |
Bulik [80] | BN (BTS) | Comparing BN participants with/without comorbid alcohol dependence | SCID (DSM-III-R), HDRS, GAFS, EDI-2, TCI, BIS, Défense Style Questionnaire | 114 | F | 17–45 | BTS Sample | Women with comorbid BN and alcohol dependence have increased psychopathology, impulsivity and novelty seeking |
Bulik [81] | BN, AN, MD | Comparing prevalence and ago of onset of adult and childhood anxiety disorders relative to primary diagnosis of BN, AN, MD and NC controls | Diagnostic Interview for Genetic Studies, SCID for DSM-III-R | 68 (AN), 116 (BN), 56 (MD), 98 (NC) | F | AN: M 31.3, BN: 26.0, MD: M 30.6, NC: M 35.5 | Not stated | Certain anxiety disorders (specific phobia, overanxious disorder) were non-specific risk factors for later affective and eating disorders, while others more specific (e.g. AN and antecedent OCD) |
Bulik [82] | BN (BTS) | Predictors of successful BN treatment | SCID and SCID-II HDRS, GAFS, EDI-2, Bulimia Cognitive Distortions Scale TCI | 98 | F | 17–45 | BTS sample | Baseline symptomatology and personality factors predicted rapid and sustained treatment response |
Bulik [83] | BN, AN (BTS, Christchurch Outcome of Depression Study, Sullivan et al. [84] study) | Personality traits and history of suicidal behaviour in BN, AN and MD | TCI |
269 (AN 70; BN 152; MDD 59) |
F | 22–39 | Not stated for AN or MDD sample but BN sample was part of the BTS sample | Suicide attempts are equally common in women with eating disorders and women with depression, and were associated with the temperament dimension of high persistence and the character dimensions of low self-directedness and high self-transcendence |
Carter [85] | BN (BTS) | Examining changes in information processing speed following CBT | Stroop test performance, self-reported recent binge, vomiting, and other purging | 98 | F | 17–45 | BTS sample | Information processing speed not associated with change across BN treatment |
Carter [86] | BN (BTS) | How performance on cue reactivity test predicted outcome of psychotherapy for BN | Clinician interview, EDI, HDRS, GAF, blood pressure, heart rate, salivation | 135 | F | 17–45 | BTS sample | Abstention during pre-treatment cue reactivity task was associated with better outcome at 6-month follow-up |
Carter [87] | BN (BTS) | How CBT for BN changed cue reactivity and associations with self-report measures | Clinician interview, EDI, HDRS, GAF, blood pressure, heart rate, salivation | 135 | F | 17–45 | BTS sample | Association between favourable treatment outcome and low cue reactivity on self-report measures at posttreatment |
Carter [88] | BN (BTS) | Evaluating specific hypotheses on the relationship of cue reactivity and outcome in BN women | Structured interview, EDI, HDRS, Axis V of DSM-III-R, self-report, physiological measures | 135 | F | 17–45 | BTS sample | Pre-treatment cue reactivity could not predict most effective treatment modality |
Carter [89] | BN (BTS) | Whether having a child after BN treatment puts women at increased risk for ED or depression | SCID (DSM-III-R), life charts (key life events, e.g. pregnancy), menstrual + weight history, pregnancy/childbirth | 135 | F | 17–45 | BTS sample | Childbirth was not specifically associated with symptomatology following treatment for bulimia nervosa |
Carter [90] | BN (BTS) | Factors related to childbirth reported at BN treatment follow-up | SCID, EDI, HDRS, BMI, GAF, BDI, SCL | 125 | F | 17–45 | BTS sample | Demographic variables and poor functioning following treatment predictive of non-conception |
Carter [91] | BN (BTS) | Influence of pre-treatment weight across treatment and five-year follow-up |
Pre-treatment BMI, BMI at follow-up |
134 | F | 17–45 | BTS sample | Participants who were overweight at baseline gained more weight than those in low and normal weight groups |
Carter [92] | BN (BTS) | 5-year follow-up of those who participated in BTS RCT for BN | SCID (DSM-III-R), EDI, HDRS, GAF, BMI | 80 | F | 17–45 at treatment | ATS sample | Five years after treatment, approximately one half of the participants had changed substantially in weight. Patients who gained weight were more likely to have been heavier and more dissatisfied with their body |
Carter [93] | BN (BTS) | Testing whether able to assess cue reactivity with a self-report questionnaire | Adapted Situational Appetite Measure (SAM) | 135 (complete data for 82) | F | 17–45 | BTS sample | A self-report questionnaire provided useful information regarding cue reactivity among women treated for bulimia nervosa. Greater improvements in cue reactivity associated with favourable treatment outcomes |
Carter [94] | BN (BTS, Christchurch Outcome of Depression Study, postpartum study [95]) | Sex frequency, enjoyment, and issues in women with AN, MD, or in postpartum period | Social Adjustment Scale | 76 (10 AN) | F | AN: 28.4 (SD 6.1) | Various samples | AN and MD groups more likely to have had sex in prior two weeks, but also more likely to report sexual problems, than postpartum group |
Carter [96] | BN (BTS) | Relationship between weight suppression prior to treatment and treatment outcomes | BMI | 132 | F | 17–45 | BTS sample | Found that weight suppression did not predict treatment outcome but did predict weight gain |
Carter [97] | AN (ATS) | Whether severity of weight suppression predicted total rate and amount of weight gain during AN recovery | BMI | 56 | F | 17–45 | BTS sample | Weight suppression was positively associated with total weight gain and rate of weight gain over treatment |
Falloon [98]* | BED, BN (BEP) | Focused on how closely therapists in the BEP RCT adhered to each of three psychotherapies for binge eating | Collaborative Study Psychotherapy Rating Scale-Binge Eating (CSPRS-BE) | 112 participants, 4 therapists | F | M 35.3 (SD 12.6) | 67% NZ European, 17% other European, 9.8% Māori, 3.6% Asian, 2.7% other | Therapy modalities were distinguishable by raters blind to treatment |
Gendall [99] | BN (BTS) | Comparing nutrient intake of women with BN regarding recommended dietary allowances, and to population sample | Food diaries |
50 (BN) 468 (Population sample) |
F |
BN:17–45 Population: 19–44 |
BTS sample | Food eaten outside of binges episodes associated with low iron, calcium and zinc, and overall energy intake. Overcompensation for this during binge episodes |
Gendall [100] | BN (BTS), MD (Christchurch Outcome of Depression study) | Comparison of visceral protein and haematological status between BN and depression controls | SCID, HDRS, structured interview of recent BN symptomatology Bloodwork (visceral protein and haematological status) |
152 (BN) 68 (MD) |
F |
BN: 17–45 MD: 18–46 |
BTS and MD samples | BN and MD groups did not differ on visceral protein or haematological measures. Low prealbumin and albumin levels were associated with more frequent vomiting. High frequency of vomiting and alcohol abuse/dependence, may increase the risk of subclinical malnutrition |
Gendall [101] | BN (BTS) | Factors association with BMI and weight change in BN, before, during, and after CBT treatment | HDRS, GAFS, EDI, physical measurements | 94 | F | 17–45 | BTS Sample | CBT is not usually accompanied by substantial weight gain |
Gendall [102] | BN (BTS) | Menstrual cycle and associated factors in BN patients. How this changed across and after CBT treatment | Blood sampling, self-reported food/drink intake, BMI, SCID, GAFS, HDRS | 82 | F | 17–45 | BTS sample | Association between menstrual irregularity and indices of nutritional restriction, not reflected by energy intake or body weight |
Gendall [103] | BN (BTS) | Blood lipid and glucose changes during and after CBT for BN (BTS) | Blood tests, BMI, SCID, HDRS | 135 | F | 17–45 | BTS sample | At 3-year follow up, plasma HDL-cholesterol increased and total cholesterol decreased significantly in the group as a whole |
Gendall [104] | BN (BTS) | Thyroid hormone levels in women before and after CBT for BN | SCI for DSM-III-R, HDRS, BMI, blood samples (serum T4 and free T4) | 107 | F | 17–45 | BTS sample | Lower pre-treatment T4 associated with persisting ED at follow up |
Gendall [105] | BN (BTS) | Childhood gastrointestinal (GI) issues and BN psychopathology | SCID, structured interview questions about childhood GI complaints | 135 | F | 17–45 | BTS sample | Individuals with childhood GI complaints and other risk factors for BN may be at greater risk of developing a more severe eating disorder at an earlier age |
Gendall [106] | AN (ATS) | Factors associated with amenorrhea in AN | SCID (DSM-IV), HDRS, TCI, additional questions on eating/weight/treatment/menstrual status, food diary, physical measurements | 39 | F | 23.3 ± 6.2 | ATS sample | The use of exercise to control weight, low novelty seeking scores, and low systolic blood pressure were predictors of amenorrhea independent of body mass index |
Jenkins [107]* | AN (ATS) | Whether motivation to recover is related to treatment outcome in those with anorexia nervosa | SCID for DSM-IV, Global AN status, motivation measures, including Motivational Interviewing Skills Code Version 2.0 Outcome Rating Scale | 53 | F | 18–45 | ATS sample | Higher levels of positive change talk (and lower levels of negative) did not associate with better treatment outcome. No significant difference in treatment outcome observed between participants with different positive/negative change talk ratios |
Jordan [108] | AN (ATS) | Comparing history of anxiety and substance use disorders in those with AN and MDD | SCID for DSM-III-R |
90 (40 AN; 58 MDD) |
F | 18–40 |
AN: 98% European MDD: 93% European |
OCD elevated in AN compared to MDD sample |
Jordan [109] |
AN (ATS) BN (BTS) |
Comparing lifetime comorbidities in participants with AN, BN, and major depressive disorder | SCID-P, SCID II, HDRS, GAF | 56 (AN), 132 (BN), 100 (MD) | F | 17–40 | AN: 96% European, BN 91% European, MD 94% European | AN had higher OCD, AN-BP and BN elevated Cluster B personality disorders; all samples elevated Cluster C personality disorders |
Jordan [110] | AN (ATS) | Assessing the constructs measured by YBC-EDS | YBC-EDS, BMI, HDRS, EDE-12, EDI-2 | 56 | F | 17–40 | 100% European (96% NZ European, 4% European born outside NZ) | Measured severity, YBCEDS sensitive to change following treatment |
Jordan [111] | AN (ATS) | Clinical characteristics of participants who prematurely terminate treatment | SCID, SCID II, TCI-293, GAF, HDRS, EDE-12, EDI-2 | 56 | F | 17–40 | Predominantly European | Lower self-transcendence scores associated with premature treatment termination |
Jordan [112] | BN (BEP) | Comparing symptoms and comorbidities across BN-P, BN-NP, and BED groups | SCID for DSM-IV, MADRS, GAF, EDE, EDI-2 | 112 | F | > 16 | BEP sample | BN-NP sits between BN and BED but some distinct features |
Jordan [113] | AN (ATS) | Process and other factors associated with treatment non-completion in AN | Treatment Credibility Scale, TCI, VTAS-R, VPPS, therapy alliance ratings | 56 | F | 17–40 | ATS sample | Predicted by treatment credibility, lower self-transcendence, and lower early therapy alliance |
Lacey [114] | BN, AN, OSFED, EDNOS (PRIMHD) | Comparing clinical characteristics and health service use for EDs by Māori and non-Māori |
National health database PRIMHD data |
3,835 | F | 10+ | 7% Māori | Māori were under-represented in treatment services. Once in treatment, duration was comparable. Māori more likely to be treated for BED or EDNOS |
McIntosh [115] | AN (ATS) | Relevance of BMI cut off in diagnosing AN | SCID for DSM-IV, EDE, HDRS, GAF, EDI-2, BIAQ, TFEQ, EAT, SCL-90, anthropometric and medical measures | 56 | F | 17–40 | ATS Sample | Little difference between strict versus lenient BMI groups |
McIntosh [116] | AN (ATS) | Therapist adherence to three different psychotherapies in ATS RCT | CSPRS-AN |
56 (AN) 3 therapists |
FF therapists | AN: 17–40, not stated for therapists | ATS sample | Good adherence to therapy types, blind raters clearly distinguished therapies |
McIntosh [117] | AN (ATS) | Assessing distinctiveness of three therapies and change over therapy in RCT for AN | CSPRS-AN (blind raters) | 53 | F | M 23.1 | ATS sample | Therapies distinguishable, subscale measures higher for corresponding therapies, both SSCM and CBT sessions rated significantly higher in the middle stage of therapy |
Rowe [118] | BN (BTS) | Whether poorer treatment outcome for those with comorbid borderline personality disorder (BPD) and BN compared to other personality disorders (PD) or no personality disorder | SCID-I and II for DSM-III-R, CBSI, HDRS, GAF, EDI, TCI, EDI | 135 | F | 17–45 | 91% NZ European | Those with BN and BPD more impaired at pre-treatment for BN and comorbid BPD, but treatment outcome over 3 years of follow up was not poorer for this group |
Rowe [119] | BN (BTS) | Impact of Avoidant personality disorder on BN treatment outcome over 3 years | SCID-I, SCID-II, CBSI, HDRS, GAF, self-report questionnaires including EDI | 134 | F | 17–45 | BTS sample | No impact on eating disorder symptoms, but worse depressive and psychosocial functioning at pre and post treatment |
Rowe [120] | BN (BTS) | PD severity/number of PDs as a predictor of BN treatment outcome | SCID (DSM-III-R), CBSI, HDRS, GAF, EDI | 134 | F | 17–45 | BTS sample | More PDs did not impact outcome at 3 years |
Rowe [121] | BN (BTS) | Personality dimensions as predictors of 5-year outcomes among BN women | SCID-I, SCID-II, GAF, EDI-2, TCI, personality reassessment, 12-month ED behaviours and mood disorders | 134 | F | 17–45 | BTS sample | No single personality measure predicted 5-year outcome, and so comprehensive personality assessment is desirable |
Sullivan [122] | BN, AN (BTS) | Differences between those with BN with/without AN history | SCID, HDRS, GAFS, EDI-2, TCI, Defence Style Questionnaire | 114 | F | 17–45 | BTS sample | Some differences between those with and without prior AN, but not distinct groups |
Sullivan [123] | BN, MD (BTS) | Comparing total serum cholesterol in women with BN versus depression versus population norms | SCID, HDRS, GAFS, structured interview to assess last 14 days ED behaviour, blood samples | 126 (AN), 57 (MD) | F | 17–45 | BTS sample | BN women had markedly higher total cholesterol than depressed women, and population norms |
Surgenor [124] | AN (ATS) | Association between sense of control and variability of AN | SCID-P (DSM-III-R (with psychotic screen), EDI, Shapiro Control Inventory, additional information on ED history including anthropometric measures, menstrual status, and chronicity | 51 | F | M 23.4 (SD 6.4) | ATS sample | Adverse overall sense of control (along with reliance on specific means of gaining control) associated with more severe eating disturbance. Greater use of a negative-assertive style of gaining control associated with a longer time since first diagnosis, desire for control significantly associated with menstrual status |
Talwar [125]* | Community sample | Correlates of disordered eating behaviours in a community sample of women | EDI-2, Rosenberg Self-Esteem Scale, BMI | 60 | F | 16–55 | 70.8% NZ European, 6.3% Māori | Dysfunctional eating attitudes and behaviours associated with higher perfectionism, lower self-esteem, and elevated body mass. Increased body dissatisfaction significantly predicted BN symptoms |
NC non-clinical, RCT randomised-controlled trial, MD major depression, TCI Temperament and Character Inventory, HDRS Hamilton Depression Rating Scale, B-ERP Binge—exposure to response prevention to binges, P-ERP Purge—exposure with response prevention to purging, SCID Structured Clinical Interview for DSM, GAF Global Assessment of Functioning, EDI Eating Disorder Inventory, BIS Behavioural Inhibition System, BCDS Bulimia Cognitive Distortions Scale, BMI body mass index, SAM Situational Appetite Measure, CSPRS-BE Collaborative Study Psychotherapy Rating Scale—Binge Eating, YBC-EDS Yale Brown Cornell Eating Disorders Scale, EDE Eating Disorders Examination, MADRS Montgomery and Asperg Depression Rating Scale, VTAS-R Revised Vanderbilt Therapeutic Alliance Scale, VPPS Vanderbilt Psychotherapy Process Scale, PRIMHD Programme for the Integration of Mental Health Data, BIAQ Body Image Avoidance Questionnaire, TFEQ Three Factor Eating Questionnaire, EAT Eating Attitudes Test, SCL Symptom Checklist, CSPRS-AN Collaborative Study Psychotherapy Rating Scale—Anorexia Nervosa, CBSI Comprehensive Bulimia Severity Index, SCID-P structured clinical interview for DSM with psychotic screen
*Identifies that the record is a thesis
Table 3.
References | Population focus | Focus | Key data collected | Sample n | Gender | Age | Ethnicity | Summary findings |
---|---|---|---|---|---|---|---|---|
Boyce [126] | NC | Whether media body ideal exposure alters mood and weight satisfaction among restrained eaters, and whether changes in either direction encourage intake of food | RS-CD, DIS, BMI, single-item weight satisfaction scale (10-point), single item hunger scale (7-point), computer task to assess implicit mood, food intake | 107 | F | 18–37 | 66% NZ European, 8% Chinese, 4% NZ European/Māori, 1% Māori, 21% other ethnicities | For restrained eaters, exposure to media images was associated with decreases in self-reported weight satisfaction and negative mood, but did not alter food intake |
Boyce [127] | NC | Impact of advertent or inadvertent exposure to media or control images (four conditions) and subsequent weight satisfaction and eating among restrained eaters | RS-CD, DIS, single item weight satisfaction scale (10-point), visual analogue scale of hunger, food intake | 174 | F | M 20.43 (SD 6.29) | 79% NZ European, 5% Chinese, 5% NZ European/Māori, 2% Indian, 9% other ethnicities | Advertent (but not inadvertent) exposure to body ideal images triggered eating by restrained eaters. Neither media exposure condition impacted their weight satisfaction |
Bulik [24] | BN, NC | Whether alcohol consumption differed between food deprivation and no food deprivation conditions | Behavioural | 5 | F | M 25.6 ± 5.6 | Not stated | More alcohol consumed in non-deprived condition |
Bulik [128] | BN | Examining the reinforcing value of cigarettes and food after food deprivation in female smokers with and without BN | Behavioural | 10 (4 BN) | F | 18–33 | Not stated | Increase in reinforcing value of food, and time spent working for cigarettes after deprivation in control but not BN women |
Bulik [129] | BN, NC | Effect of coffee in BN and controls during food deprivation and no deprivation | Likert scale ratings, game responses to earn coffee | 10 | F | BN: 32.0 ± 6.1, NC: 21.7 ± 3.8 | Not stated | Those with BN consumed more coffee in deprivation condition versus control group |
Bulik [130] | BN (BTS) | Salivation at presentation of food in BN sample, restrained eaters, and unrestrained eaters | SCID for DSM-III-R | 57 (19 BN) | F | BN: 27·7 ± 5·8 | Part of BTS sample | BN woman displayed significantly lower salivary reactivity than restrained or unrestrained eaters |
Carter [131] | BN | Examining cue reactivity methodology | SCID, self-report on urge to binge/purge, assessor evaluated urge to restrict, heart rate, blood pressure |
7 (BN) 13 (Control) |
F | BN: M 26, NCM 28 | Not stated | Recommendations for cue reactivity assessment procedure are given, emphasising standardisation of measures, and participant-specific cues |
Carter [132] | BN | Evaluated body image assessment and cue reactivity in women with BN in response to a range of cues | Silhouette method for assessing body image, BDI, EDI, self-report |
7 (BN) 8 (NC) |
F | 18–40 | Not stated | BN women rated bodies as larger, and had lower body image satisfaction versus NC women. Body satisfaction ratings were not affected by cue presentation. High-risk food cues were sufficient to elicit urges to binge in BN women |
Carter [133] | BN | Information processing speed and cue reactivity in BN woman in response to cues | Stroop colour-naming tasks, BDI, DRS, EDI, Self-report measures on low mood, urge to eat/binge, confidence to resist this | 13 (6 BN) | F | 18–40 | Not stated | Specific cue types, as well as the way they were presented affected speed of information processing suggesting a more complex relationship than was anticipated |
Gendall [134] | Cravers | Effect of meal macronutrient composition on subsequent behaviour and mood | Appetite and mood ratings (60 mm VAS) pre and post-test meals | 9 | F | 38–46 | Not stated | Consumption of protein-rich meals increases susceptibility to craving sweet-tasting foods in vulnerable women |
Gendall [135] | Cravers | Meal induced change in tryptophan in relation to craving and binge eating | Blood sample assays | 9 | F | 34.9–50.4 | Not stated | Reduced plasma tryp:LNAA ratio (induced via high protein meal) reduced urge to binge |
Hickford [136] | NC | Comparing restrained and unrestrained eaters' cognitions | BDI, Restraint scale (short), SCID for ED modules of DSM-III-R | 10 | F | 18–40 | Not stated | No difference in frequency of food cognitions between groups |
Latner [137] | BED, BN | Comparing food intake between those ingesting high-carbohydrate or high-protein supplements | EDE, BDI-II, PRIME-MD | 18 | F | 34.78 ± 9.80 | Not stated | Protein supplement led to less binge-eating |
Latner [138] | BED, NC | Whether energy density of meals affects intake in BED and NC | Behavioural data, EDE, EAT, DASS, BMI |
30 (15 BED, 15 NC) |
F | M 27.0 (SD 8.25) | 63.3% European, 10% Māori, 6.7% Pasifika, 6.7% Asian, 6.7% Indian, 6.7% other | Energy intake significantly lower in the low-ED condition than high-ED condition. BED participants report lower satiation. Decreasing energy density of food consumed may help satiation disturbances |
Latner [139]* | BED, NC | Effects of two different food volumes (same total calories) on subsequent appetite and intake | Ratings (VAS, 5-point scale) for appetite and eating, food diary, food intake | 30 (15 BED, 15 NC) | F | M 27.07 (SD 8.24) | Not stated | Decreases in hunger, desire to eat, and loss of control were observed following higher volume food preloads. BED participants displayed greater desire and excitement to eat than controls |
Stock [140] | NC | Body image relationship with body functionality versus body control | Big Five Inventory, Iowa-Netherlands Comparison Scale (INCOM), VAS for body image measures, self-objectification questionnaire (SOQ), RSES, food choice questionnaire, VAS for mood | 131 | F | 18–35 | Not stated | No increase in body satisfaction, but and lower self-objectification over time in body functionality group. Higher neuroticism associated with lower body satisfaction. Body image group participants reported lower self-esteem |
Walsh [141]* | BN, NC | Examining neuroendocrine and neuropsychological functioning in individuals with eating disorders | BDI, EAT, blood testing, subjective ratings of physical symptoms | Study 1: 15 (NC), Study 2: 12 (NC), Study 3: 20 (12 NC, 8 recovered BN) | F | 19–37 | Not stated | Trytophan-free amino acid drink administration did not impact mood or food intake. Moderate dieting associated with alterations in brain serotonin function in women |
NC non-clinical, RS-CD Restraint Scale—Concern for dieting subscale, DIS Dietary Intent Scale, BMI body mass index, SCID Structured Clinical Interview for DSM, DRS Disability Rating Scale, EDI Eating Disorder Inventory, VAS Visual Analogue Scale, BDI Beck Depression Inventory, EDE Eating Disorder Examination, EAT Eating Attitudes Test, DASS Depression Anxiety and Stress Scale, SOQ Self-Objectification Questionnaire, RSES Rosenberg Self Esteem Scale
*Identifies that the record is a thesis
Table 4.
References | Population focus | Focus | Data collected | Sample n | Gender | Age | Ethnicity | Summary findings |
---|---|---|---|---|---|---|---|---|
Baxter [142] | BN, AN (TRH) | Mental health conditions among Māori participants in Te Rau Hinengaro | CIDI for DSM-IV | 2595 |
60% F 40% M |
16+ | 100% Māori (only Māori participants from TRH) | ED lifetime prevalence of 0.7% AN and 2.4% BN |
Bensley [143]* | NC (OSSLS2) | Body image among adolescents and association with different lifestyle behaviours | Otago Students Secondary School Lifestyle Survey (OSSLS2): Subscales from the Food, Feelings, Behaviours, and Body Image Questionnaire (FFBBQ), BMI, DQI | 681 |
56% F 44% M |
15–18 | 74% NZ European, 9% Māori, 1% Pasifika, 7% Asian, 8% other | Females had higher scores on all subscales (figure dissatisfaction, fear of weight gain, dietary restraint, and concern about eating and weight), as did those who were overweight and obese. High levels of body dissatisfaction not limited to those who were overweight and obese) |
Blackmore [144]* | NC | Explored self-induced vomiting after drinking alcohol in relation to eating disorder pathology among university students | EAT-26, MAST, Drinking Habits Questionnaire, BULIT-R, CES-D, AUDIT | 261 |
59% F 38% M |
17–35 | Predominantly European | For females, alcohol-related self-induced vomiting was associated with eating disorder pathology |
Boyes [145] | NC | Healthy and unhealthy dieting behaviours in university couples | Perceived Relationship Quality Components Scale, RSES, BDI-II, WCBS, additional Likert scales | 114 |
50% F 50% M |
15–57 | Predominantly European | More body satisfaction among F with higher SE and lower depressive symptoms. More depressive symptoms and relationship dissatisfaction for men associated with more dieting and BD in F partners. M dieted more when F partners higher SE and fewer depressive symptoms |
Brewis [146] | NC | Body image in Samoan participants living in Samoa and New Zealand | BMI, custom questionnaires | 226 |
55% F 45% M |
25–55 | 100% Samoan | Body dissatisfaction and slim ideals common, weight loss attempts and body perceptions not different between those above versus below BMI of 27 |
Bushnell (1990) [147] | Population sample (CPES) | Bulimia prevalence in Christchurch population sample, oversampled for younger women | Diagnostic Interview Schedule | 1498 |
66% F 34% M |
18–64 | 93% European | Widespread disordered eating behaviours/attitudes, cohort effect for younger women |
Chan [148] | NC | Relationship between perfectionism and ED symptoms in Chinese immigrants, and the role of ethnic identity | EDI, PANAS, MEIM, MCSDS | 301 |
59% F 41% M |
M 22.37 | 100% reported Chinese ancestry | Relationship between ED symptomatology and perfectionism mediated by cultural identity. Strong sense of belonging and attachment to Chinese culture appears to be protective |
Dameh [149]* | AN | Evaluating insight, as well as factors that may affect this, in participants meeting DSM-IV criteria for anorexia nervosa | Markova and Berrios Insight Scale (MBIS), SAI, EAT-26 | 18 | F | 17–43 | Not stated | Impaired insight in those with AN was associated with features of illness, ED/behaviours and history of abuse |
Durso [150] | NC | Testing weight bias scale and associations between self-directed weight bias and other factors | Weight Bias Internalisation Scale | 198 (1 NZ participant) | Not specified for NZ | Not stated for NZ | Not stated for NZ | Scale had good internal consistency and linked to other factors related to body image and ED |
Fear [151] | NC | Self-reported disordered eating/attitudes in female secondary school students | BMI, EDE-2, BMI | 363 | F |
M 14.9 (SD 0.4) |
77% European, 16% Māori, 3% Samoan, 4% other | Most students wished to be smaller size, high prevalence of ED behaviours |
Foliaki [152] | Population sample | Prevalence of psychiatric disorders among Pasifika in New Zealand | CIDI | 2374 | 52% F, 48% M | 16 + | 100% Pasifika | 12-month prevalence 1.5%; lifetime ED prevalence 4.4% |
Gendall [153] | NC | Exploring food cravings in young women within the community | DIGS, custom food craving questionnaire | 101 | F | 18–45 | 98% European | History of cravings common (58%) within this sample. Narrowing definition meant that fewer (28%) met criteria. Multiple core features more common for those with strong cravings |
Gendall [154] | NC | Characteristics of individuals who reported cravings for food | DIGS, TCI, EDI | 101 | F | 23–46 | Not stated | Food cravings associated with alcohol abuse/dependence and also novelty seeking, high rates of ED symptoms |
Gendall [155] | AN | Food cravings and intensity of craving in those with past history of AN and NC | DIGS, TFEQ, TCI | 101 | F | 35 ± 6 | Not stated | Greater proportion of those with previous AN reported strong and more intense cravings |
Gendall [156] | NC | Can aspects of restrained eating be predicted using the Temperament and Character Inventory (TCI) | DIGS, TCI, TFEQ | 101 | F | 18–45 | Not stated | Low self-directedness related to higher TFEQ score, disinhibition, and hunger susceptibility. High self-transcendence related to higher TFEQ score and cognitive restraint |
Gendall [157] | NC | Comparing those who crave food and binge eat versus those who crave and do not subsequently binge | Food | 223 | F | 18–46 | Not stated | Cravers who binged tended to have higher BMI, higher frequency of diagnosed BN, elevated dietary restraint, and lower self-directedness |
Gibson [42] | NC | Body image scores for rugby union players | Body composition, custom version of Low Energy Availability Amongst New Zealand Athletes, EDI-3 | 26 | M | 19–28 | Not stated | High prevalence of disordered eating behaviours, disturbances in body image |
Griffiths [28] | NC | Anabolic androgenic steroid use/contemplation and associations with factors including body dissatisfaction and ED symptoms in sexual minority men | Online survey: Self-report weight/height, sexuality, anabolic steroid use/consideration, MBAS-R, EDE-QS, BBQ |
1797 from Aus 514 from NZ |
99.1% M, 0.4% other (same sample in refs 24–26) |
18–78 years | Reported as Aus NZ and Non-Aus NZ | ED symptoms and dissatisfaction with muscularity and height more prevalent among those who use AAS, while dissatisfaction with body fat less common in this group |
Griffiths [27] | NC (Griffiths et al. [28]sample) | Pornography use and body image, associated behaviours, and quality of life in sexual minority men | Online survey: self-reported weight and height, sexuality, MBAS-R, EDE-QS |
1797 from Aus 514 from NZ |
99.1% M, 0.4% other | 18–78 | Not stated for NZ | Increased pornography use was weakly associated with more body dissatisfaction and thoughts of anabolic steroids use |
Griffiths [29] | NC (Griffiths et al. (2017) sample) [28] | Social media use and body image, ED symptoms, and steroid use contemplation in sexual minority men | Online survey: self-reported social media/dating use, height/weight, sexuality, use/thoughts of anabolic steroids, MBAS-R, EDE-QS |
1797 from Aus 514 from NZ |
99.1% M, 0.4% other | 18–78 | Not stated for NZ | Social media use positively associated with body dissatisfaction, ED symptoms, and thoughts of anabolic steroid use. Some associations strongest for image-centric platforms |
Hechler [158] | Clinicians | Assess clinicians understanding of role of physical activity in AN—and describe assessment and management strategies | EDSCS (Eating disorder specialist/clinician survey) | 33 | Not stated | Not stated | Reported as Aus/NZ | The majority of specialists consider physical activity to be important in EDs, however those from an Asian background considered it to be minor in comparison to other nationalities |
Hickman [159]* | BN, NC | Looking at relationships and associated attachments in those with and without BN, within a sample of university students | EDI, Close Relationship Scale, TFEQ, Relationship Satisfaction Scale | 123 (unclear how many with BN symptoms) | F | 18–40 | Not stated | More anxious attachment and dieting in participants with bulimia |
Hudson [160]* | NC | Body dissatisfaction, BMI, esteem, eating attitudes | EDE, BSQ, RSES, BMI | 36 | F | 17–55 |
67% NZ European, 8% Māori, 25% Other |
Elevated BMI linked to higher body dissatisfaction |
Jenkins [161]* | NC | Eating disorder symptomatology among females in NZ of Chinese and other ethnicities | EAT-40, Eating Disorder Belief Questionnaire, additional custom questions, Perceived Sociocultural Pressure Scale, SEED, ratings of body image figures | 116 | F | 18–47 | 34% Chinese, 5% Taiwan, 49% NZ European, 8% NZ Māori, 1% Pasifika, 3% Other Ethnicities | More body image dissatisfaction and fear of weight gain in Chinese group. Similar pressure to be thin between groups |
Jospe [162] | NC (SWIFT) | Whether association between weight/diet monitoring influenced eating disorder symptoms | EDE-Q, self-reports of ED behaviours | 250 | 62% F, 68% M | < 18 | 176 European, 18 Māori, 7 Pasifika, 5 Asian | Self-monitoring did not increase ED symptoms |
Kessler [1] | TRH (BED data not previously reported) | Assessing prevalence and correlates of binge eating disorder | Composite International Diagnostic Interview | 24124 (7312 NZ) | Not specified for NZ | > 18 | Not stated | Lifetime prevalence estimates of BED are higher than BN, fewer than half of lifetime BN or BED cases receive treatment |
Kessler [26] | BED, BN (TRH) | Compared impairment and role attainment (e.g. employment) between BED and BN | CIDI, WHO-DAS | 7312 from NZ (not included in occupation and earnings assessment) | Not specified for NZ | 18–98 | Not stated | Effects on role attainments similar for BN and BED. F less likely to be currently married, M less likely to be currently employed. Both more higher odds of work disability and more days of work impairment |
Kokaua [163]* | BN, AN | Includes prediction of eating disorder prevalence among Cook Islanders in New Zealand | NZMHS, MHINZ | How to report? | How to report? | 16+ | Cook Island | Any eating disorder 1.4% 12 months prevalence (unadjusted) or 1.1% adjusted. Ethnic differences in eating disorders even after adjustment |
Latner [164] | BED, BN, AN | Comparing quality of life ratings in those with subjective versus objective binge eating | EDE-Q, SF-36, BDI-II | 53 | F | M 26.30 (SD 8.98) | 94% European, 2% Asian, 2% Māori, 2% Pasifika | Impaired quality of life for subjective binge episodes and compensatory behaviours. Also accounted for 27% of physical QoL variance |
Latner [165] | NC | Associations between body checking/avoidance, quality of life (QoL) and disordered eating | BCQ, BIAQ, BMI, SF-36, EDE-Q, BDI-II | 214 | F |
M 26.3 (SD 8.98) |
86% European, 8% Asian, 52% Māori | Both body checking and avoidance associated with lower QoL and higher ED symptoms |
Latner [166] | BED, BN, AN, EDNOS | QoL impairment due to features of EDs (e.g. eating concern, restraint, vomiting, excessive weight concerns) | EDE-Q, The Medical Outcomes Short-form Health Survey (SF-36), BDI-II |
53 ED 212 NC |
F | 17–65 | 88% European, 7% Asian, 5% Māori | More EDE-Q features, particularly shape/weight concerns, were predictive of poorer QoL |
Lau [167]* | NC (SuNDiAL) | Desire to lose weight and methods of losing weight, including unhealthy weight loss methods, among adolescents | Weight attitudes and motivations for food choice questionnaire, custom questions about body image and weight loss intentions and methods | 370 | 66% F, 34%M | 15–18 | 72% European, 14% Māori, 13% Asian, 2% Pasifika | High prevalence of weight loss intentions. Weight loss methods more common in females |
Leydon [168] | NC | Eating habits among jockeys | EAT, food diaries, menstrual status, DEXA scan, body composition, anthropometry | 20 |
70% F 30% M |
Not stated | Not stated | Osteopenia and weight control efforts common among sample of jockeys |
Linardon [169] | NC, BED, BN | Participant views of digital interventions for treatment and prevention of eating disorders | Custom questionnaires | 722 (133 from Aus/NZ) |
95% F 5% M |
M 30.25 (SD 8.29) | 77.1% European, 0.4%% African American, 8.6% Hispanic, 10.4% Asian, 0.6% Pasifika Island, 2.9% other | Pros and cons identified, cons included concerns about privacy and accuracy of data |
Lucassen [170] | NC (YHS) | Comparing body size, weight, nutrition, and activities in sexual and gender minorities (SGM to controls | Custom survey re weight control behaviours, BMI | 7769 |
56% F (incl. 312 S/GM females) 45% M (incl. 150 S/GM males) |
13–18 | 49% European, 20% Māori, 13% Pasifika, 12% Asian, 6% other | More issues with nutrition, unhealthy weight control, and inactivity among sexual and gender minorities |
Madden [7] | NC | Association between intuitive eating and BMI, and eating behaviours among less intuitive eaters | Intuitive Eating Scale, BMI (self-reported weight/height), Rapid Assessment of Physical Activity, additional selected questions of menopausal status, binge-eating, food intake, and rate of eating | 2500 | F | 40–50 | 83% European, 11.4% Māori, 3.0% Pasifika, 85% Asian | Intuitive eating inversely associated with BMI. Partial mediation by binge-eating |
Maguire [171] | AN | Ability to predict length of inpatient treatment Australasian clinical data | Clinical data | 154 | 98% F |
M 21.2 (SD 7.2) |
Not stated | Difficulty in predicting length of stay, with only two factors (length of stay, 2–3 previous admissions) independently contributing to this |
McCabe [172] | NC | Three studies comparing body image of those within five different countries and cultures (Fijian, Indo-Fijian, Tongans living Tonga, New Zealand Tongan, European Australians) | Interviews and questionnaires about eating behaviours and physical activity, perceptual distortion task | Study 1: 240; Study 2: 3000; Study 3: 300 | 50% F, 50% M | 12–18 |
Study 1: 48 from each cultural group, Study 2: 600 from each cultural group, Study 3:100 from each Fijian cultural group and European Australians |
Body image, eating, and physical activity influenced by socio-cultural environment |
McCabe [173] | NC (Pacific OPIC Project) | Environmental influences on body change strategies within different cultural groups | Body Image and Body Change Questionnaire | 4904 (461 NZ) | 48% F, 52% M (NZ 62% F, 38% M) | 12–18 | Tongan | Differing messages across and within cultural groups |
Miller [174] | NC | Body perception in relation to media consumption and societal ideals | The Sociocultural Attitudes Towards Appearance Questionnaire, FRS, Media Time Use, INCOM | 181 |
66% F 34% M |
17–30 | 84% European, 7% Māori, 3% Asian, 2% other | Greater discrepancy between ideal and perceived current body figures for women. Greater thin ideal internalisation for women. Awareness and internalisation of thinness norms predicted body perceptions for women but not men |
Moss [175]* | AN, EDNOS | Body dissatisfaction and associated factors in adolescents with eating disorders | EDI-3, CAPS, PSPS, DASS-21 |
40 (13 AN, 7 EDNOS) 20 NC |
F | M 15.75 (SD 1.52) |
ED: 80% European 10% Māori, 10% other CT: 90% European, 10% Māori, 0% other |
Higher maladaptive perfectionism and anxiety linked to BD, but didn’t interact as predictors of BD in ED group |
Muir [176]* | AN, NC | Whether women with AN differed from low weight women without AN in recognising emotions | Performance on facial emotion recognition test (reaction speed and accuracy) | 33 | F | 18–55 | AN: 41.7% NZE, 8% Maori, 4 “other”. NC: 90.5% NZE, 2 British, 1 Russian | Shorter response time for AN group, no difference in accuracy measures |
Mulgrew [177] | NC | Weight control behaviours and associated factors in young people | BAQ, MBAS-R, PHQ, modified WCBS, BMI, weight management questions | 1082 |
75% F 25% M |
18–30 | 79% NZEO | More weight control behaviours among females. Feelings of fatness a key predictor of weight control |
Ngamanu [178]* | NC | Compared levels of body image dissatisfaction and eating pathology in Māori and Pakeha women, also examining whether the ethnic attachment of participants was associated with the body image | BMI, MEIM, FRS, EAT-26 | 100 | F | 18–50 + | 34% Pakeha, 66% Māori | Body image dissatisfaction and eating pathology did not differ between groups. Level of ethnic attachment also did not impact body image satisfaction |
Browne [179] | BN, AN (TRH) | Lifetime prevalence/risk of psychiatric disorders in the New Zealand population | Survey | 12, 992 |
57% F 43% M |
16+ | 20% Māori, 17% Pasifika, 63% Other (Part 1), 22% Māori, 18% Pasifika, 60% Other (long-form sample) |
Any ED 1.7%CI 1.5, 2.1) LT prevalence AN 0.6 (CI 0.4,0.8): BN 1.3 (1.1,1.5): Females: 2.9 (CI 2.3,3.5); Males 0.5 (CI 0.3, 0.9) |
O'Brien [6] | NC | Body image and self-esteem in physical education (PE) university students | Demographic questionnaires, self-reported BMI, BES, EAT-26, global self-esteem scale from the SDQIII | 228 | F |
PE 18: 34 ± 0.64, Psychology 18: 46 ± 0.78, Year 3 PE 21:.0 ± 1.18, Year 3 Psychology20: 9 ± 1.06 |
Not stated | Year 3 PE students had lower self-esteem and more disordered eating |
O'Brien [180] | NC | Psychosocial characteristics among those in a weight loss programme | Custom questions on reasons, MBSRQ, single item self-esteem scale | 106 |
86% F 14% M |
M 41.9 (SD 10.8) |
Not stated | Key reasons for wanting to lose weight were mood, appearance, and health. Poorer self-image/self-esteem for those citing mood reasons |
Overton [181] | Clinical | Comparing emotional experience of women with EDs to NC controls | EDI-2, YSQ-SI, DES-IV | 130 (30 ED) | F |
Cases: M 28.1 NC M 23.8 |
Not stated | Use of disordered eating behaviours to manipulate both positive and negative emotional states, should be recognised as an important maintenance factor |
Reynolds [182] | Clinicians | Whether health professionals felt orthorexia should be recognised as an eating disorder | Custom online survey and qualitative text boxes | 52 |
96% F 4% M |
41.2 ± 11.9 | Not stated | Most clinicians (71%) felt that orthorexia should be recognised as a distinct ED |
Robertson [183]* | NC | Associations between body image, self-esteem, and peer and romantic relationships | Body Image and Body Change Questionnaire, Physical Attractiveness Scale, Body Image Behaviour Scale, Social Physique Anxiety Scale, Physical Appearance Comparison Scale, RSES, Self-Description Questionnaire III, Perceived Relationship Quality Components Scale | 91 | 80% F, 20% M | 17–69 | Not stated | Positive relationship between body-image and self-esteem, and between body image and quality of romantic relationships. Positive relationship between self-esteem and relationships (peer and romantic). Body image predicted self-esteem and quality of peer-relationships Self-esteem predicted romantic relationship quality |
Rodino [184] | Clinicians | Fertility specialists' knowledge and practices relating to eating disorder | Adapted online questionnaire | 106 | 51% F, 49% M | 25 + | Not stated | Knowledge around relevant symptoms of eating disorders, but uncertainty around ED detection. Many not satisfied with training in this area, or not confident in ability to recognise symptoms. Large majority indicated need for further education/guidelines |
Rosewall [185] | NC | Risk factors for body dissatisfaction in girls | NZSEI, EAT-26, Stunkard Body Figure Drawings, EDI, CAPS, RSES, Sociocultural Influences on Body Image and Body Change Questionnaire (Perceived Pressure to Lose Weight subscale), PANAS, POTS | 231 | F | 14–18 | 73.7% NZ European, 10.3% Māori, 5.6% Asian, 2.6% Pasifika and 3% Other | Risk factors for higher levels of body dissatisfaction were perfectionism, perceived media pressure, and low self-esteem |
Rosewall [186] | NC | Exploring moderations of association between body dissatisfaction and disordered eating behaviours | NZSEI, ChEAT, Collins Body Figure Perceptions, EDI, CAPS, RSE, PANAS-C, Sociocultural Influences and Body Change Questionnaire, POTS (weight-based teasing subscale) | 169 | F | 10–12 | 84.0% NZ European, 11% Māori, 6% Asian, 2% Pasifika, 1% Other | Body dissatisfaction and disordered eating association were moderated by personal (e.g. perfectionism, self-esteem) and environmental factors (e.g. teasing, perceived media pressure) |
Rosewall [187] | NC | Psychopathology factors related to links between BMI and body dissatisfaction, and between body dissatisfaction and disordered eating | BMI, BSQ, BIA, BES, EAT-26, PAI | 186 | F | 18–40 | 78.9% NZ European, 13.3% Asian/part Asian, 3.0% Māori, 1.2% Pasifika Island 3.6% other | Reporting lower BD (than would be predicted by BMI), and less disordered eating (than would be predicted by BD) was linked to lower levels of anxiety/depression and higher mood stability |
Shephard [188]* | NC | Influence of family experiences related to food and self-compassion on the association between appearance ideals and body dissatisfaction | SATAQ (Revised—Female Version), BSQ, family Experiences Related to Food Questionnaire (FERFQ), self-compassion scale (SCS) | 106 | F | 18–48 | 85.8% NZ European, 4.6% NZ European and 'another ethnicity', 3.8% Chinese, 1.9% Māori, 3.8% another ethnicity | Family food related experiences and self-compassion appear to be protective, moderating relationship between body dissatisfaction and thin ideal internalisation |
Slater [189]* | NC | Energy intake, activity, and disordered eating behaviours in recreational athletes | EDI-3, LEAFQ | 170 |
64% F 36% M |
18–56 | Not stated | Low energy availability (LEA) common but no risk of ED for most of those with LEA |
Strang [190]* | Restrained eaters | Responses to Stroop test words about food, weight, and shape by restrained eaters versus unrestrained eaters | Stroop test, RS, STAI, BDI | 55 (21 restrained eaters) | Only F after initial phase | Restrained: 24.33 (9.80), unrestrained: 21.85 (5.64) | Not stated | No group differences, but may have been due to minimal symptomatology in restrained eating group versus comparison groups |
Talwar [12] | NC | Body image and body dissatisfaction among Māori and non-Māori participants | Multigroup Ethnic Identity Measure, BIA-G, BES | 45 | F |
Māori: M 19.8 (SD 1.2), European: M 19.0 (SD 1.2) |
50% Māori 50% European |
Lower concern about weight among Māori. Stronger Māori ethnic identity was associated with lower weight concern |
Utter [5] | NC | Identifying 'red flag' behaviours for unhealthy weight loss | Youth'07 survey | 9107 |
46% F 56% M |
13–18 | Māori, European, Pasifika, Asian (% not stated in this paper) | Meal skipping and fasting are 'red flag' behaviours associated with poor mental wellbeing |
Vallance [191] | NC | ED symptoms and health related quality of life | SF-36, EDE-Q, EDI-2, BSQ, BCQ, BIAQ, BDI-II, BSI | 214 | F | 17–65 | 85% European, 7.5% Asian, 6.1% Māori | DE and BD linked to lower quality of life |
Vaňousová [192] | NC | Evaluating validity of the Eating Concerns (EAT) scale from the MPPI-3 | MPPI-3 (specifically EAT scale), EPSI, EDE-Q, EDDS, BES, BI_AAQ | 396 |
79% F 21% M |
17–51 | 91% European, 12% Maori, 8% Chinese, 4% Indian, 2% Pasifika (some participants more than one) | Scores from new MPPI-3 EAT scale seem promising as a screening measure for eating pathology |
Wells [20] | BN, AN (TRH) | Prevalence and severity of different disorders, including eating disorders, within NZ. Oversampled for Māori and Pasifika | CIDI | Short form: 12, 992, long form: 7435 | 57% F, 43% M | 16+ | 20% Māori, 17% Pasifika, 63% Other (Part 1), 22% Māori, 18% Pasifika, 60% Other (long-form sample) | Any eating disorder 1.7% lifetime prevalence, 0.5% 12-month prevalence |
Wells [193] | BN, AN (TRH) | Severity and interference with life for mental health conditions among NZ sample | CIDI, Sheehan Disability Scale | Part 1: 12,992, part 2: 7435 | 57% F, 43% M | 16+ | 20% Māori, 17% Pasifika, 63% Other (Part 1), 22% Māori, 18% Pasifika, 60% Other (long-form sample) | Prevalence for EDs 0.5% in last 12 months |
NC non-clinical, CIDI Composite International Diagnostic Interview, BMI body mass index, DQI Diet Quality Index, EAT Eating Attitudes Test, MAST Michigan Alcohol Screening Test, CES-D Centre for Epidemiologic Studies Depression Scale, AUDIT Alcohol Use Disorders Identification Test, RSE Rosenberg Self-Esteem Scale, BDI Beck Depression Inventory, WCBS Weight Control Behaviours Scale, EDI Eating Disorder Inventory, PANAS-C Positive and Negative Affect Scale for Children, MEIM Multigroup Ethnic Identity Measure, MCSDS Marlowe-Crowne Social Desirability Scale, SAI Spontaneity Assessment Inventory, WBIS Weight Bias Internalisation Scale, DIGS Diagnostic Interview for Genetic Studies, TCI Temperament and Character Inventory, TFEQ Three Factor Eating Questionnaire, LEANZA Low Energy Availability Amongst New Zealand Athletes, MBAS-R Revised Male Body Attitudes Scale, EDE-QS Eating Disorder Examination Questionnaire Short, BBQ Brunnsviken Brief Quality of Life Scale, EDSCS Eating Disorder Specialist/Clinician Survey, SDQIII Self-Description Questionnaire III, BSQ Body Shape Questionnaire, SEED Short Evaluation of Eating Disorders, NZMHS World Health Organisation Disability Assessment Schedule, New Zealand Mental Health Survey, MHINZ Mental Health Information New Zealand, SF-36 36 Item Short-Form Survey, BIAQ Body Image Avoidance Questionnaire, BCQ Body Checking Questionnaire, EDE Eating Disorders Examination, FRS Figure Rating Scale, INCOM Iowa-Netherlands Comparison Scale, CAPS Clinician Administered PTSD Scale for DSM, PSPS Perceived Sociocultural Pressure Scale, DASS Depression Anxiety and Stress Scale, BAQ Body Attitudes Questionnaire, PHQ Patient Health Questionnaire, BES Binge Eating Scale, MBSRQ Multidimensional Body-Self Relations Questionnaire, YSQ-SI Young Schema Questionnaire—Social Isolation, DES Differential Emotions Scale, PANAS Positive and Negative Affect Scale, CAPS Clinician Administered PTSD Scale, POTS The Perception of Teasing Scale, NZSEI New Zealand Socioeconomic Index, ChEAT Children’s Version of the Eating Attitudes Test, EDI-BD Eating Disorders Inventory—Body Dissatisfaction scale, BIA Body Image Assessment, PAI Personality Assessment Inventory, LEAFQ Low Energy Availability Questionnaire, STAI State-Trait Anxiety Inventory, BIA-G Group Administered Version of the Body Image Assessment, MMPI Minnesota Multiphasic Personality Inventory, EPSI Eating Pathology Symptoms Inventory, EDDS The Eating Disorder Diagnostic Scale, BI_AAQ Body Image—Acceptance and Action Questionnaire
*Identifies that the record is a thesis
Table 5.
References | Population focus | Focus | Key data collected | Sample n | Gender | Age | Ethnicity | Summary findings |
---|---|---|---|---|---|---|---|---|
Archer [194]* | BN, AN | Exploring factors associated with AN and BN and how these may underlie dysfunctional cognitions seen in these disorders | EDI-2, BDI, MPS, Setting Conditions for Anorexia Scale, TPQ Harm Avoidance, PBI, FES | 135 | F | 18–44 | CT: 100% European. Not stated for other groups | Dysfunctional perfectionism (e.g. MPS concern over mistakes, personal standards, and parental criticism, and TPQ harm avoidance) a key personality characteristic in AN and BN |
Bulik [195] | BN | Linking perceptions of family of origin in those with BN, BN and comorbid SUD, and NC | Diagnostic Interview Schedule version III-A, Family Environment Scale self-report, Semi-structured Family Environment Interview Q-Sort | 63 (33 BN) | F | Not stated | Not stated | BN with no substance use disorder: group mothers viewed as more neurotic. BN group fathers perceived as more seductive. Mother of BN with substance use disorder placed emphasis on weight/appearance/exercise |
Bulik [196] | AN | Assessing predictors of BN in women with AN | Medical records, Diagnostic Interview for Genetic Studies (modified) | 69 | F | 23–72 | Not stated | Highest risk window for developing BN is within 2 years after onset of AN |
Bulik [197] | AN | Examining fertility and reproductive history in women with AN versus NC group | Interviews about fertility and related history | 98(66 AN) | F | AN: M 32.4 (SD 8.0), NC: M 35.5 (SD 6.2) | Not stated | More miscarriages and caesareans in AN group |
Bulik [198] | AN | Assessment of relevant factors (eating attitudes, parental bonding, personality) in those with a history of AN (full recovery, partial recovery, chronically ill) and NC | EDI, TFEQ, TCI, PBI, BMI | 168 (70 AN) | F | 23–45 | Above sample | Partially recovered and chronically ill groups reported more harm avoidance, and lower self-directedness and cooperativeness, compared with fully recovered and control groups. Lower parental care scores among chronically ill group |
Fowler [199] | BED | Family factors and comorbid psychopathology in those with BED and CT with obesity | DIGS, FH-RDC, PBI, FES | 40 (20 BED, 20 CT) | F | M 38.8 (SD 9.8) | Not stated | BED associated with affective and anxiety disorders, and with family history of BED but not substance misuse. BED linked to “affectionless control” parenting style in the PBI, and numerous difficulties on the FES |
Latner [200[] | BN | Association of psychopathology with objective and subjective bulimic episodes | EDE, TFEQ, EDI, DASS | 81 | F | M 28.11 |
81% European 10% Asian 7% NZ Māori 2% Pasifika |
Frequency of objective and subjective bulimic episodes correlated with general eating psychopathology measures, and with measures of depression, anxiety, and stress |
Romans [201] | BN, AN | Experience of childhood sexual abuse (CSA) prior to developing ED | PSE, ICD-10, PBI, custom interview questions (CSA) | 477 | F | 18+ | Not stated | Higher rates of EDs among group who experienced CSA. ED risk factors among those with history of CSA were early paternal overcontrol and early puberty |
Sullivan [84] | AN | Follow up of those with AN referred to eating disorders service within a 3-year period, an average of 12 years prior to the time of follow up | DIGS, GAF | 168 (70 AN) | F | AN M 32.4 (SD 7.8), comparison M 35.5 (SD 6.2) | AN: 98.6% European, comparison: 96.9% European | AN group persistence in low body weight, perfectionism, and cognitive restraint |
NC non-clinical, CT controls, EDI Eating Disorder Inventory, BDI Beck Depression Inventory, MPS Multidimensional Perfectionism Scale, TPQ Tridimensional Personality Questionnaire, PBI Parental Bonding Instrument, FES Family Environment Scale, FEI Family Environment Interview, DIGS Diagnostic Interview for Genetic Studies, SCID Structured Clinical Interview for DSM, TFEQ Three Factor Eating Questionnaire, TCI Temperament and Character Inventory, BMI body mass index, FH-RDC Family History—Research Diagnostic Criteria, DASS Depression Anxiety and Stress Scale, PSE Present State Examination, ICD International Classification of Diseases, GAF Global Assessment of Function
*Identifies that the record is a thesis
Table 6.
References | Population focus | Focus | Key data collected | Sample n | Gender | Age | Ethnicity | Summary findings |
---|---|---|---|---|---|---|---|---|
Allison [202]* | NC | Feminist approach exploring issues related to young women’s body perception and eating behaviours | Thematic analysis of journal entries | 15 | F | 14–16 | 10 European, 1 Samoan, 1 South American, 1 Irish-English, 1 Chinese-European-Eurasian, 1 not stated | Identified Western cultural influences on eating behaviours and body image |
Barry [202]* | NC | Issues with eating, weight, and body image in women with type 1 diabetes and health professionals | Semi-structured interviews | 17 (12 with type 1 diabetes, 5 health professionals) | F | 16–25 | Not stated | Different perceptions of health professionals versus young women with Type 1 diabetes. Eating and weight related disturbance (including insulin omission) reported |
Batenburg [203]* | AN | Experiences and opinions of those who had experienced and recovered from anorexia nervosa | Semi-structured interviews | 8 | F | 17–27 | 5 NZ European, 1 Māori/European, 1 Indian, 1 Belarusian | Model of AN aetiology developed, based on categories of perceived causes of relapse |
Bellingham [204]* | AN | Parental perspective on experiences of having a child with AN | Semi-structured interviews | 12 | 50% M, 50% F | Not stated | Not stated | Identified three stages from parental accounts, termed the insidious, tenacious, and recovery stages |
Carne [205]* | NC (OPIC Project) | Included examination participants' attitude toward own weight | PedsQL, AQoL, semi-structured interviews | Quantitative: 4429, qualitative: 36 (drawn from quantitative sample) | Quantitative: 48% F, 52% M, qualitative: 50% M, 50% F | 13–18 |
Quantitative: 59% Pasifika, 20% Māori, 11% European, 10% Asian Qualitative: 33.3% Māori, 33.3% European, 33.3% Pasifika |
Lower physical QOL linked to higher weight status, high QOL for those who were obese (relative to previous findings), sociocultural factors protective against internalised stigma, friendships related to perception of own weight |
Chisholm [206]* | NC | Examined relationship between dieting and factors within romantic relationships in a sample of heterosexual couples | PRQC, AAQ, RSES, BDI-21, WCBS, EDI-2, WMSI, weight-loss support helpfulness, BMI, body satisfaction (Likert scale) | 88 | 50% F, 50% M | F: M 29.43, (SD 11.87), M: M 31.61 (SD 11.87) | Not stated | More disordered eating attitudes where lower perceived partner support. Higher levels of unhealthy dieting with lower self-esteem (mediated by disordered eating attitudes). Partner support appears protective for those with low self-esteem |
Conder [207]* | NC | Explored body image and how this was constructed among women with intellectual disabilities | Semi-structured qualitative interviews | 25 | F | 21–65 | 88% NZE, 8% Māori, 4% Pasifika | Themes identified were 'beauty and the body', 'a fit and functional body' and 'a gendered body' |
Easter [208]* | NC | Problematic behaviours among elite athletes. Includes topic of disordered eating | Semi-structured qualitative interviews | 10 | 50% F, 50% M | Early 20s to late 40s | 80% European/Pakeha, 10% Māori, 10% Other European | A number of behaviours reported, including disordered eating. Potential influences on this behaviour included comments/criticism from others, unrealistic sociocultural standards, and media influence |
Gunn [209]* | BN, AN, EDNOS, self-diagnosed | Experiences of mothers who became pregnant after having recovered from an eating disorder | Qualitative interviews |
10 women with past ED, 8 without |
F | 27–46 | European | Reported healthy pregnancies among recovered women, no difficulties with infant feeding, no tendency for undue anxiety about weight gain |
Hall [210] | AN | Family factors and their association with AN | Interviews with parents of those with AN | 50 (AN) | F | Not stated | European | Possible aetiological factors included socioeconomic status, and family factors such as a parental history of psychiatric and medical illness |
Hammond [211]* | NC, ED | Examined body image appraisals, self-esteem, body related esteem, weight locus of control, and figure ratings in groups of women: normal weight, overweight, had ED or were body builders. Qualitative study examined self-esteem and experience of teasing | RSES, BES, WLOCS, figure rating scale, silhouette rating scale, qualitative interviews | 122 | F | Normal weight: M 31.14 (SD 10.40), overweight: M 38.84 (SD 12.50), ED: M 27.48 (SD 10.23), body builders: M 28.81 (SD 6.31) | 89% European, 3% Maori, 4% Pasifika, 3% Other | Positive description for normal and muscular, but not thin or overweight body types. Difference between groups regarding ideal figures. Self-esteem and body esteem did not correlate for body builders. ED reported feeling bigger compared to what they thought. Similar ratings for figures seen as likely to be attractive for males |
Jones [43]* | NC | Body image dissatisfaction in males involved in weight training, and potential influences and impacts on wellbeing | Semi-structured interviews | 12 | M | 18–29 | 83.33% NZ European, 8.33% NZE/Māori, 8.33% Cook Island/Māori/Tahitian/Scottish | Weight training exercise related to both positive and negative body image/evaluation, observed sociocultural influences on body image Behavioural indications that participants were downplaying impact of body image dissatisfaction |
Kleinbichler [212]* | AN, NC | Elaborating on knowledge surrounding metacognitive processes in AN, compared with dieting and non-dieting women | BMI, DASS, EAT-26, PSWQ, PBRS, NBRS, RRQ, TCQ, MCQ-30, EDE-Q4 | 131 | F | Non-diet: M 21.38, diet: M 23.44 (SD 8.06), AN: M 24.0 (SD 6.00) | 70% NZ European, 3% Māori, 5% Chinese, 2% Indian, 11% other, 8% multi-ethnicity | Maladaptive cognitive styles among those with AN, compared with dieting and non-dieting women. Evidence supports presence of cognitive attentional syndrome in those with AN |
McClintock [213]* | NC | Influences on body image dissatisfaction/disturbance, examined in three different ways | Focus group data | Study 1: 23, Study 2: 190, Study 3: 33 | F | 14–18 | Study 1: 73.9% Pakeha, 17.4% Māori, 8.7% other minority cultures. Study 2: 74% Pakeha, 14.5% Māori, 2, 3% Pasifika, 6.9% Asian, 1.2% South African, 1.2% other minority. Study 72.7% Pakeha, 15.2% Māori, 3% Pasifika | Identified important role of social evaluation for influencing body image and unhealthy dieting behaviour, and interrelationships between sociocultural and interpersonal influences |
Poulter [214] | NC | Explore perspectives of female undergraduate students with positive body image | Body image questions, BAS, BESAA, SATAQ, focus group | n = 139 for screening. N = 19 for focus analysis | F | 18–30 | Predominantly European | Themes included body positivity with age, mindfully engaging with media content, functional conceptualisation of the body, and role of religious and cultural identities. Women with positive body image utilise a body-protective filter, favouring body-positive information from environment |
Schofield [215]* | NC | Low energy availability and associated factors (e.g. body image, nutrition) in athletes | Qualitative data, physiological data, food record |
Study 1: 15, Study 2: 11 |
Study 1 67% F, 33% M, Study 2: 64% F, 36% M | 22.8 ± 3.8 | European | Highlighted complex nature of LEA, risk impacted by sociocultural environment and type of sport |
Snell [216] | Clinicians | Investigating the nurse experience in an ED inpatient service | Interview | 7 | Not stated | 30–50 | Not stated | Nurses have crucial role in ED unit with unique challenges, and therapeutic relationship with these professionals can help engage clients in treatment/recovery. At times felt that this important role was invisible |
Stiles [217]* | BN, AN | Assessing which eating behaviours were perceived as being normal by clinicians, dieticians, and healthy women | EDE-Q, ONE, eating behaviour, ratings of eating behaviours shown in video (Likert scales), eating style questions, qualitative interview | 67 | F | 18–60 | Not stated | Key theme was flexibility (e.g. not having strict rules). Themes also eating in response to physiological hunger, meeting nutritional needs, eating in socially acceptable manner, eating for pleasure, and regular eating) |
Surgenor [218] | AN | Identify how patients view their AN with respect to self | Semi-structured interview | 5 | F | 17–late 20s | Not stated | Patient's 'selves' have strategically different implications for therapeutic interventions. Individual therapy could be improved by establishing an authentic basis |
Surgenor [219] | AN | Can treatment drop-out for AN be predicted from routine admission data collection? | BDI, EAT-26, EDI-2, RSES | 213 (treatment episodes) | F | Drop out: M 22.3, regular discharge: M 21.2 | Not stated | Lower BMI, AN purging subtype, and active fluid restriction make significant independent contributions to drop-out risk |
Stanley [220]* | BN, AN | Risk and protective factors for those who were identified as being at-risk of negative life outcomes, and who had originally been interviewed as 12 years prior (when they were aged 11–12 years) | Semi-structured interview | 9 (1 AN and BN history) | 33.3% F, 66.6% M | 21–22 | 56% Māori, 33% Pasifika, 11% Pakeha | Identified protective factors for AN participant included intrapersonal ability (e.g. self-awareness) and external supports (e.g. family). Risk factors were self-identified aberrant cognitions, physical health, adoption, and secondary schooling |
Swain-Campbell [221] | BN, AN, 'other EDs' | Satisfaction with specialist eating disorders services | Custom questionnaire (structured and open-ended questions) | 120 | 4% M | M 27 | 94% European | Overall high approval, but negative commentary on some aspects of treatment (e.g. being weighed, gaining weight, stopping purging as compensatory strategy) |
Teevale [222]* | NC (OPIC) | Views about eating, physical activity, and body image in Pasifika Island adolescents and parents |
Study 1 Questionnaire Study 2 Qualitative individual interviews |
Study 14,215 Study 2 68 | Study 1 52% F, 48% M Study 2 68% F, 32% M (qualitative) | Study 1 12–20 Study 2 13–17 (qualitative) | Study 1 55.4% Pasifika, 20.2% Māori, 12.3% Asian, 12.1% European, Study 2: Pasifika | Socio-environmental influences (e.g. occupational type, health education) more relevant to health behaviours than socio-cultural factors. Qualitative study: Beliefs about eating, physical activity, and body image similar between obese and healthy-weight Pasifika participants |
Thabrew [223] | AN | Exploring inpatient AN treatment experience | Semi-structured interview | 9 | F | 15–17 |
7 NZ European 2 Asian |
Themes identified included admission benefits (safe space, support from staff), stress (e.g. being re-fed, being away from supports and regular life), control/power (e.g. compulsory treatment), being heard, and comparison with others in treatment |
Tozzi [224] | AN (Sullivan et al. [84] sample) | Subjective accounts of causes of AN and recovery | DIGS, open ended questions | 69 | F | M 32.3 (SD 7.8) | 98.6% European | Family dysfunction most commonly cited as causal, in addition to dieting/weight loss and stress. Factors contributing to recovery included relationships and maturation |
Watterson [225]* | BN, AN, BED (COSTS) | Mixed methods study of factors associated with ED maintenance and recovery, and perceptions of what contributed to successful treatment and recovery | Qualitative interview, online survey based on existing surveys by BEAT charity and Butterfly Foundation | 358 (quantitative), 18 of whom also participated in qualitative interviews | F | 28.2 (SD 12.2) | 88.7% NZ European, 6% Māori, 1.1% Pasifika, 13.2% other (includes Chinese, European, Australian, Middle Eastern, and Indian) | Multiple causal factors endorsed across EDs, most frequent were low self-esteem, perfectionism and difficulty managing negative emotions. Need for control was higher for those with AN |
Waugh [25] | BN, AN | Comparing children of those with current or past AN or BN on factors such as eating behaviours, health, development, and psychometric variables | EDI, Toddler Temperament Scale, maternal report and interviews, food diaries, videoed mealtimes | 20 mothers (10 cases, 10 NC controls) | F (Children: 5 M and 5 F per group) |
Cases M 30.1 (SD 3.1), NC M 30.8 (SD 3.6). Children 12–48 months |
Not stated | Difficulties in children of the ED group include low birth weight, difficulties with breast feeding, and non-interactive mealtimes |
Webb [226]* | AN | Features of AN as indicated by those with current or past AN | Interviews available notes and documents | 7 | F | 18–35 | Not stated | Identifies issues relating to control/ self-concept, continued concerns around food/exercise, reluctance to develop sexual relationships, and concerns around relationships with others |
NC non-clinical, PedsQL Pediatric Quality of Life Inventory, AQoL Assessment of Quality of Life, PRQC Perceived Relationship Quality Components, AAQ Acceptance and Action Questionnaire, RSES Rosenberg Self-Esteem Scale, BDI Beck Depression Inventory, WCBS Weight Control Behaviours Scale, BMI body mass index, BES Binge Eating Scale, WLOCS Weight Locus of Control Scale, DASS Depression Anxiety and Stress Scale, EAT Eating Attitudes Test, PSWQ Penn State Worry Questionnaire, PBRS Positive Beliefs about Rumination Scale, NBRS Negative Beliefs about Rumination Scale, RRQ Rumination and Reflection Questionnaire, TCQ Thought Control Questionnaire, MCQ-30 Metacognitive Questionnaire 30, EDE Eating Disorder Examination, BAS Body Appreciation Scale, BESAA Body Esteem Scale for Adolescents and Adults, SATAQ Sociocultural Attitudes Towards Appearance Questionnaire, ONE Opinions on Normalised Eating, DIGS Diagnostic Interview for Genetic Studies, EDI Eating Disorders Inventory
*Identifies that the record is a thesis
Table 7.
References | Population focus | Focus | Key data collected | Sample n | Gender | Age | Ethnicity | Summary findings |
---|---|---|---|---|---|---|---|---|
Bulik [227] | BN | BN participant who ate large quantities of bran as a method of simultaneously bingeing and purging | Case notes | 1 | F | 27 | European | Reported positive treatment outcome following CBT including exposure with response prevention |
Bulik [228] | BN | Characteristics of a woman who self-induced a miscarriage through dietary restriction and exercise | SCID I and II, self-monitoring | 1 | F | 28 | Not stated | First account of intentional use of ED behaviours to cause a miscarriage. Commentary on patient’s perspective |
Bulik [229] | BN, AN (ATS) | Case of participant who combined her ED symptoms with factitious presentations | Case notes, structured interview | 1 | F | Late 30s | Not stated | AN and BN true comorbid conditions with Munchausen's syndrome |
Hall [230] |
Service data BN, AN, Atypical EDs |
Examined referral patterns to the eating disorder service in Wellington from 1977 to 1986 | Interviews about ED history, case record review | 343 | 96% F | 15–29 | Not stated | Rates of AN were stable but BN referrals increased from 6 to 44/100,000 per year |
Hill [231] | AN | Case, treatment, and outcome of an elderly woman with AN | Case notes | 1 | F | 72 | Not stated | Onset following bereavement of husband, after nine ECT treatments the eating behaviour improved and depressive symptoms diminished |
McKenzie [232] |
AN Service data |
Patterns of inpatient hospitalisation for AN patients admitted for the first time in 1980 and 1981 | Clinical data | 112 |
89% F 11% M |
20.2 ± 7.5 |
99% European 1% Māori |
Long admissions, secondary only to schizophrenia and organic conditions., with 45% readmission within 5 years |
Scott [233]* | BN, AN | Own and family’s story in relation to author's experience with BN and AN | Conversations with family members | 1 (AN/BN) | F (author) | N/A | N/A | Author identifies growth following experience, AN/BN identified as something which defies logic, isolated author from others |
Surgenor [234] | AN | Case of attempted suicide using nasogastric feeding tube during AN treatment | Case description | 1 | F | 33 | Not stated | Advised potential precautions around those with NG who are at risk of self-harm |
Surgenor [235] | Atypical EDs | Case report on atypical eating disorder in transgendered woman | ED service assessment data, EDI-2 | 1 | Transgender | 25 | Fijian-Indian, European | Insight into the co-occurrence of an ED and transgenderism |
Wu [236] | BN, AN (GBDS) | ED prevalence and disability-adjusted life years in different countries between 1990 and 2017 | Age standard rates (prevalence), disability-adjusted life years | Not stated for NZ | Not stated for NZ | 5–50 (age groups) | Not stated for NZ | High age-standardized rates of prevalence and disability and adjusted life-years of eating disorders in Australasia |
Structured Clinical Interview for DSM, EDI eating disorder inventory
*Identifies that the record is a thesis
Foci and wider studies
The groups examined included binge-eating disorder (BED), bulimia nervosa (BN), anorexia nervosa (AN), Eating Disorder Not Otherwise Specified (EDNOS) or Other Specified Feeding and Eating Disorders (OSFED), orthorexia, and disordered eating or body image among non-clinical (NC) groups. Many publications reported data on a range of variables from larger studies or datasets, including the Anorexia Treatment Study (ATS) [17]; Bulimia Treatment Study (BTS) [18]; the Binge Eating Psychotherapy study (BEP) [19]; Te Rau Hinengaro (TRH) [20]; The Costs of Eating Disorders in New Zealand (COSTS) study, the Survey of Nutrition, Dietary Assessment and Lifestyles (SuNDiAL), Youth Health Surveys [21], Programme for the Integration of Mental Health Data (PRIMHD), The Collaborative Psychiatric Epidemiology Surveys (CPES) [22], and the Global Burden of Disease Study (GBDS) [23].
Sample characteristics
A wide range of sample sizes existed within the quantitative research, with the smallest sample recorded at 5 participants [24] and the largest being 12,992 participants [20]. Within the qualitative research, the sample sizes ranged from 1 to 69 participants. The majority of publications reported all-female (137 studies) or mostly female (14 studies) participant groups. A small number focused on male participants, and on sexual minority individuals. The age range of participants was large, with the lowest age being 12 months [25] and the highest being 98 years [26]. Of the 123 studies that provided age ranges for their samples, seven included children under the age of 13 years, with two focusing specifically on children. Thirty-five included participants over 45 years, though none focused specifically on this age group. A total of 133 studies reported ethnicity data or included samples for which ethnicity was previously reported; ethnicity data were unavailable for the remaining 62 studies. Two of the records within the scope of this review focused primarily on eating disorders or body image among Māori—the Indigenous New Zealand minority population.
Types of data collected
The majority of studies used interviews or self-report measures. Data collection instruments that were commonly used to examine eating pathology included the Eating Disorder Inventory (EDI; 24 studies) [30], EDI-2 (19 studies), [31] EDI-3 (3 studies) [32], Eating Disorder Examination (EDE) [33] or the related questionnaire EDE-Q (29 studies) [34], and the Eating Attitudes Test (EAT-26 or EAT-40) [35] questionnaires (10 studies). Various versions of the Structured Clinical Interview for the Diagnostic and Statistical Manual (SCID) [36] were also used (35 studies). Other commonly identified instruments included the Beck Depression Inventory (BDI) [37] in 18 studies, Rosenberg Self Esteem Scale (RSES) [38] in 9 studies, Hamilton Depression Rating Scale (HDRS; 31 studies) [39], and the Temperament and Character Inventory (TCI) [40] in 14 studies. Among the qualitative studies, individual interviews were most common, while the use of focus groups was minimal. With the exception of physical measures such as weight and height, other physiological methods of data collection and analysis such as blood testing (8 studies), neuroimaging, genetic testing, and other biological assessments were less common.
Discussion
This scoping review identified studies that examined disordered eating and body image in clinical and non-clinical samples from New Zealand, and outlined the methodologies and results reported for each study. A large number of records were located and assessed, and these involved a wide range of methodologies and vastly different foci highlighting considerable progress in understanding disordered eating and body image within New Zealand.
Methodology Most of the literature identified in this review described quantitative research, however a smaller number of exploratory qualitative studies and case studies were also identified, with the majority being identified during grey literature searches. Longitudinal studies and follow up studies of eating disorder treatments, particularly those of five years or more, were also uncommon, which may be attributable to the high cost and attrition rates associated with this type of research. Studies included participants from both clinical samples and non-clinical samples; however, large clinical samples were uncommon, which is likely underpinned by limited funding for larger studies (given that New Zealand allocates a much smaller portion of its GDP to funding research, relative to other countries) [41]. In addition, the relatively small New Zealand population makes it difficult to recruit large samples of individuals with eating disorders, which are relatively low prevalence conditions. Self-report and interview measures were identified as being most frequently used, whereas the analysis of biological data such as blood samples, which can be helpful in understanding the impact of disordered eating, was uncommon. This may be attributable to the relative ease and affordability of survey and interview data, whereas other methods tend to require more financial and research infrastructure, resources, and expertise.
Sex and gender Although some of the studies included males or gender minorities, most focussed on samples that were predominantly or exclusively female. The identification of only two all-male samples [42, 43] is consistent with reports that less than 1% of all published eating disorder research focused specifically on males with these disorders [44, 45]. Several of the identified New Zealand studies of eating disorders excluded potential male participants, or excluded data provided by male survey respondents. This may be partly because the prevalence of these disorders, with the exception of BED, tends to be lower among males [46], leading to low recruitment numbers that generally preclude statistical analyses. The inclusion of male participants also necessitates adapting treatment packages or prevention strategies for these individuals, which provides further logistical challenges for researchers [47]. Although females may be an easier group to recruit from, differences in the presentation of eating disorders and body image concerns in males need to be examined further [48]. In addition, the consistently low recruitment of male participants perpetuates the notion that eating disorders primarily afflict females, while reducing the likelihood that men will come forward to participate in future research on eating disorders, or to seek treatment. There is also evidence to suggest differences in body image concerns, as well as eating disorder risk factors and presentation, among sexual minority and LGBTQIA + individuals [28]; however, very few of the identified studies explored these differences. As such, there is a need for context-specific information to assist healthcare providers in furthering their knowledge of the presentation and treatment options for men, gender minority, and LGBTQIA + individuals in New Zealand.
Age There was a tendency for studies to recruit adolescents and younger adults. This may be partly attributable to convenience, with university aged students being the most readily available population for non-clinical studies, while the higher prevalence of eating disorders among young people can make other age groups more difficult to sample from. We identified very few studies that included participants under the age of 13, which is of particular concern given reports that eating disorders are being increasingly identified among children [49]. Conversely, there were also fewer studies involving middle-aged or older participants, despite middle-age being associated with increased eating disorder risk for women in particular, in part related to the menopause transition [50, 51]. With increased knowledge surrounding the risk and development of eating and body image issues across different age groups in New Zealand, more targeted and effective prevention and treatment strategies may be established.
Ancestry Many studies did not report ethnicity data, and Māori and Pasifika peoples were typically under-represented where these data were available. The lack of Māori and Pasifika representation and inclusion marginalises these groups further, while the extent and ways they are impacted by eating disorders, disordered eating, and body image concerns remain unclear. A lack of research into eating disorders within Indigenous and minority ethnicity populations is common within international literature, which limits our understanding of how to best understand, detect, and approach the treatment of eating disorders among these groups [52]. The results of this review suggest that New Zealand is no exception to this pattern, despite the prevalence of anorexia nervosa and bulimia nervosa in Māori being similar to or higher than in the general population [53]. Food and rituals surrounding food are central to Māori and Pasifika cultures, and are important to consider when assessing and treating eating disorders in Māori and Pasifika participants [13]. It is important to assess all eating disorders in future studies, given subthreshold eating disorders and disordered eating have been found to be highly prevalent in Indigenous peoples in Australia, suggesting current diagnostic criteria may not adequately capture eating problems in underrepresented minority identity groups [54]. Therefore, future studies of eating disorders and related issues within New Zealand need to actively seek participation from Māori and Pasifika people, and explore these issues from a culturally inclusive viewpoint.
Strengths and limitations This review has a number of strengths. Firstly, it captures research spanning a 43-year timeframe, allowing for a thorough investigation into the nature of research on disordered eating and body image within New Zealand. Furthermore, the review has included not only peer-reviewed journal articles, but also grey literature in the form of Masters and Doctoral theses. The addition of postgraduate research has allowed for a pragmatic and inclusive examination of the work conducted using New Zealand based samples, whereas a traditional style of review may exclude valuable data present in grey literature. The present review also has several limitations, with one being that a portion of the relevant grey literature, was unavailable for screening. Some of these theses could have added to the breadth of research methodologies, participants, and foci reported in the review. Although all Medline records are indexed in Embase, it may have been beneficial to also include Medline in the search strategy, as the indexing is unique to each of these databases. In addition, although every attempt was made to pre-define which topics would be included or excluded in the search, there is still a chance of reviewer bias in choosing whether to include research that fit less clearly within the margins of the scope. This is a risk particularly with the inclusion of research on body image. For example, other reviewers might have included studies with questionnaire items that alluded to body image, e.g. “how I look” without specifying weight and shape. However, the involvement of two independent reviewers reduced the risk of bias, as any inconsistencies in the inclusion of records were carefully addressed.
Recommendations Given the data presented in this review, a number of recommendations have been formulated for New Zealand research in the area of eating disorders, disordered eating, and body image. Firstly, although studies of a short term and non-experimental nature are less time-consuming and cheaper, the relapsing nature of eating disorders indicates that more longitudinal studies and long-term psychotherapy follow-ups would be valuable. Future research will also benefit from utilising different assessment methods to better understand the mechanisms underlying eating disorders. These may include physiological methods such as neuroimaging, or other biometric or biological, and genomic and other—omic approaches [55–57]. This in turn would allow for a more complete physiological picture of eating disorders in New Zealand, and would aid local research in keeping pace with international research methods. A second recommendation is to include more studies of body image and eating behaviours among males and LGBTQIA + communities. As mentioned earlier, this would further contribute to an understanding of how to responsibly and appropriately approach eating disorders in these groups. Future research should also examine eating disorders and body image concerns before adolescence, and beyond the age of 45, to better address the needs of individuals affected at different life stages. Finally, the paucity of research using a representative proportion of Māori and Pasifika participants was of particular concern. Although it may be more difficult to recruit participants from ethnic minority groups, it is vitally important that researchers make every effort to do so. This should involve engaging these communities from the outset, rather than only studying them as research participants [58].
Funders should be aware of considerable need for eating disorders research to be able to better serve ill individuals and their families in New Zealand. Proposal requirements should require inclusion of men and minoritized gender and ethnic groups, even specifying a minimum percentage of males and individuals from minority ethnicity groups. Funding should be allocated and timed in a way that supports recruitment from more difficult to reach groups, such as providing budgets specifically for targeted advertising and allowing more time to focus on engaging with these participant communities. In addition, funded research should be encouraged to include these groups as active researchers, building capacity in these communities and enabling them to provide guidance throughout the study. Lastly, budgets should be sufficient to support controlled treatment trials, particularly for groups that have been understudied, and research involving techniques and methods that are novel or underutilised.
Conclusions This scoping review is the first comprehensive examination of research into disordered eating and body image conducted in New Zealand. By summarising the foci, methods, and results for each of these studies, the review has also highlighted many gaps and areas where further funding and research is needed, including more treatment trials and longitudinal research, more advanced methods of data collection and analysis, and the inclusion of more diverse sample groups. While it may be more difficult to recruit individuals from minority groups, the greater social connectivity provided by the internet may assist researchers in recruiting, surveying, or interviewing such groups with less difficulty than previously. This study has identified a considerable body of research, and provides important information to assist funders and researchers in benchmarking findings against samples from New Zealand.
Acknowledgements
Not applicable.
Author contributions
LC: conceptualisation, methodology, formal analysis, writing—original draft. HLK: methodology, formal analysis, writing—review and editing. MAP: writing—review and editing. MAK: writing—review and editing. CMB: writing—review and editing. JJ: conceptualisation, formal analysis, methodology, supervision, writing—review and editing. All authors read and approved the final manuscript.
Funding
All authors were supported in part by the Eating Disorders Genetics Initiative (EDGI) grant (NIMH R01MH120170). The funder has no input into this scoping review.
Availability of data and materials
All data generated during this study are included in this published article and were extracted from existing publications.
Declarations
Ethics approval and consent to participate
Not applicable.
Consent or participation
Not applicable.
Competing interests
CM Bulik reports: Shire (grant recipient, Scientific Advisory Board member); Lundbeckfonden (grant recipient); Pearson (author, royalty recipient); Equip Health Inc. (Clinical Advisory Board).
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Data Availability Statement
All data generated during this study are included in this published article and were extracted from existing publications.