Abstract
Objectives
: The aims of our study were to examine the lifetime prevalence of obesity rate in eating disorders (ED) subtypes and to examine whether there have been temporal changes among the last 10 years and to explore clinical differences between ED with and without lifetime obesity.
Methods
: Participants were 1383 ED female patients (DSM-IV criteria) consecutively admitted, between 2001 and 2010, to Bellvitge University Hospital. They were assessed by means of the Eating Disorders Inventory-2, the Symptom Checklist-90—Revised, the Bulimic Investigatory Test Edinburgh and the Temperament and Character Inventory—Revised.
Results
: The prevalence of lifetime obesity in ED cases was 28.8% (ranging from 5% in anorexia nervosa to 87% in binge-eating disorders). Over the last 10 years, there has been a threefold increase in lifetime obesity in ED patients (p < .001). People with an ED and obesity had higher levels of childhood and family obesity (p < .001), a later age of onset and longer ED duration; and had higher levels of eating, general and personality symptomatology.
Conclusions
: Over the last 10 years, the prevalence of obesity associated with disorders characterized by the presence of binge episodes, namely bulimic disorders, is increasing, and this is linked with greater clinical severity and a poorer prognosis. Copyright © 2012 John Wiley & Sons, Ltd and Eating Disorders Association.
Keywords: obesity, eating disorders, personality, psychopathology
Introduction
Eating disorders (ED) and obesity share some biological and environmental risk factors (Bachar, Gur, Canetti, Berry, & Stein, 2010; Bulik, Sullivan, & Kendler, 2003; Haines, Kleinman, Rifas-Shiman, Field, & Austin, 2010; Root et al., 2011), behaviours (Gunnard et al., 2011; Roemmich, Lambiase, Lobarinas, & Balantekin, 2011) and intermediate neurocognitive phenotypes (Danner, Ouwehand, van Haastert, Hornsveld, & de Ridder, 2012; Van den Eynde & Treasure, 2009; Volkow, Wang, Fowler, Tomasi, & Baler, 2011). A controversial theory postulates that ED and obesity form part of a broad spectrum of eating-related and weight-related disorders (Marcus & Wildes, 2009; Volkow & O'Brien, 2007; Wilson, 2010). Nevertheless, contradictory findings in the literature do not allow differentiating ED according to weight-related phenotypes.
Obese patients with a comorbid ED [mainly binge-eating disorder (BED)] have higher eating (Fassino, Leombruni, Piero, Abbate-Daga, & Giacomo Rovera, 2003; Hsu et al., 2002), general (Bulik, Sullivan, & Kendler, 2002; Fandiño et al., 2010; Zeeck, Stelzer, Linster, Joos, & Hartmann, 2011) and personality psychopathology (Nasser, Gluck, & Geliebter, 2004) and a poorer prognosis (Hsu et al., 1998). However, it remains unclear the rate of lifetime obesity across ED diagnostic subtypes and their associated phenotypical features, as well as their stability overtime.
The aims of this study were to examine the prevalence and distribution of lifetime obesity across the range of ED patients to examine temporal changes from 2001 to 2010 and to evaluate the existence of clinical differences between subjects with an ED with and without obesity.
Methods
Participants
The participants were 1383 female ED patients [261 anorexia nervosa (AN), 551 bulimia nervosa (BN), 448 not otherwise specified ED (EDNOS), and 123 binge-eating disorders (BED)] with a mean age of 27.0 years (SD = 8.25). Patients were consecutively admitted to the ED Unit of our Psychiatry Department, between 2001 and 2010, and diagnosed according to DSM-IV-TR criteria (APA, 2000), by means of Structured Clinical Interview for DSM IV Axis I Disorders (First, Gibbon, Spitzer, & Williams, 1996). Experienced psychologists and psychiatrists completed the clinical assessment during two structured face-to face interviews. These covered lifetime presence of obesity as well as additional information related to clinical questions such as age of onset, duration, course of the disorder, minimum and maximum body mass index (BMI), presence of family history of obesity and childhood obesity (defined as positive when a subject recalled ever been diagnosed with obesity by a physician in childhood). Patients with lifetime obesity are defined in this work as those having childhood obesity and/or a BMI greater than or equal to 30 kg/m2 in adulthood. To determine current obesity, the interviewer directly measured weight and height during this session to calculate BMI.
We obtained written informed consent from all participants, and the Ethics Committee of our hospital approved the study.
Assessment
We developed a comprehensive battery of assessments to quantify ED symptoms, general psychopathology and personality. The battery included the Eating Disorders Inventory-2 (Garner, 1991), the Bulimic Investigatory Test Edinburgh (Henderson & Freeman, 1987), the Symptom Checklist-Revised-90—Revised (Derogatis, 1990) and the Temperament and Character Inventory—Revised (Cloninger, 1987). All these questionnaires are validated in Spanish and have been described previously (Derogatis, 2002; Garner, 1998; Gutierrez et al., 2001; Rivas, Bernabé, & Jiménez, 2004).
Statistical analysis
Statistical analysis was carried out using spss19 for Windows (IBM Corporation, Armonk, NY). The prevalence of lifetime and childhood obesity was estimated for each diagnostic subtype Clinical and personality differences between ED patients with and without lifetime obesity were analysed using analysis of variance adjusted by age and duration of the ED as covariates.
Results
Lifetime obesity rate across eating disorders diagnostic subtypes and temporal effects
Three hundred and ninety eight ED patients had lifetime obesity (28.8%, 95% CI: 26.4 to 31.2). BED individuals had the highest rate (87.8%; 95% CI: 78.6 to 95.7) followed by BN (33.2%, 95% CI: 29.4 to 37.2) and EDNOS (21.2%, 95% CI 17.7; 25.2%) with AN showing the lowest rates (4.6%; 95% CI: 2.64; 7.86).
There was a similar pattern of distribution for family history of obesity (62.8% BED, 33.8% BN, 26.3% EDNOS, 13.3% AN; p < .001) and childhood obesity (28.9% BED, 13% BN, 12.2% EDNOS, 3.6% AN; (p < .001).
In addition, a positive linear trend in the prevalence of lifetime (p < .0001) (Figure 1) and childhood obesity (p < .0001) and current BMI (p < .0001) was found over the duration of the clinical collection (Figures in supplementary data).
Figure 1.

Percentage of lifetime obesity overtime, between 2001 and 2010, in consecutive ED referrals (N = 1383). Note: labeled % of the total ED /year
Clinical, psychopathological and personality differences between eating disorders with and without lifetime obesity
Participants with ED and lifetime obesity had higher minimum and maximum BMI, a later age of onset and longer ED duration (Table 1), higher eating severity scores (p < .001; by means of EDI-2, Bulimic Investigatory Test Edinburgh and bingeing frequency) and greater general psychopathology (p < .005; by means of Symptom Checklist-90—Revised) when compared with ED patients without lifetime obesity. They also showed higher harm avoidance and lower traits on persistence, self-directedness and cooperativeness than ED without this condition.
Table 1.
Comparison of clinical, psychopathological and personality measures across eating disorders patients with and without lifetime obesity (ED + OB versus ED − OB)
| ED − OB (N = 985) | ED + OB (N = 398) | ANOVA | ||||||
|---|---|---|---|---|---|---|---|---|
| Mean | SD | Mean | SD | p | MD | 95% CI for MD | ||
| BMI: minimum | 17.6 | 2.5 | 22.0 | 4.3 | <.0001 | 3.656 | 3.268 | 4.044 |
| BMI: maximum | 23.4 | 2.9 | 35.0 | 7.1 | <.0001 | 10.117 | 9.544 | 10.690 |
| Age of onset (years) | 18.7 | 5.2 | 22.0 | 9.6 | <.0001 | 3.237 | 2.428 | 4.046 |
| Duration of ED (years) | 6.4 | 5.6 | 9.4 | 7.8 | <.0001 | 3.041 | 2.289 | 3.794 |
| Weekly binges | 3.5 | 5.9 | 5.6 | 6.3 | <.0001 | 1.961 | 1.159 | 2.763 |
| Weekly vomits | 4.6 | 7.4 | 4.1 | 7.0 | .956 | 0.045 | −0.916 | 1.006 |
| Weekly laxatives | 3.3 | 13.0 | 3.8 | 12.3 | .956 | 0.612 | −1.078 | 2.301 |
| Weekly diuretics | 1.1 | 4.8 | 2.1 | 6.9 | .065 | 0.801 | 0.065 | 1.536 |
| BITE: symptoms | 18.7 | 7.8 | 23.0 | 5.6 | <.001 | 3.424 | 2.220 | 4.628 |
| BITE: severity | 10.3 | 7.4 | 12.9 | 7.3 | <.001 | 2.307 | 1.097 | 3.517 |
| EDI: drive for thinness | 12.7 | 6.8 | 14.2 | 5.2 | .002 | 1.392 | 0.559 | 2.225 |
| EDI: body dissatisfaction | 14.7 | 8.2 | 20.1 | 6.7 | <.001 | 5.032 | 4.013 | 6.051 |
| EDI: interceptive awareness | 10.6 | 6.6 | 12.4 | 6.7 | <.001 | 1.871 | 0.993 | 2.749 |
| EDI: bulimia | 5.9 | 5.6 | 9.14 | 5.3 | <.001 | 2.989 | 2.255 | 3.724 |
| EDI: interpersonal distrust | 5.6 | 4.6 | 6.2 | 4.7 | .012 | 0.809 | 0.202 | 1.415 |
| EDI: inefficacy | 10.3 | 7.1 | 12.0 | 7.0 | <.001 | 1.810 | 0.880 | 2.740 |
| EDI: maturity fears | 8.0 | 5.7 | 8.2 | 5.6 | .266 | 0.457 | −0.289 | 1.203 |
| EDI: perfectionism | 5.6 | 4.3 | 5.5 | 4.5 | .987 | −0.005 | −0.576 | .567 |
| EDI: impulsivity | 6.5 | 5.8 | 7.5 | 6.4 | <.001 | 1.576 | 0.805 | 2.348 |
| EDI: ascetic | 6.6 | 4.4 | 7.8 | 4.0 | <.001 | 1.186 | 0.624 | 1.748 |
| EDI: social insecurity | 7.5 | 5.0 | 8.2 | 4.7 | .005 | 0.947 | 0.298 | 1.597 |
| EDI: total score | 94.0 | 44.3 | 111.2 | 40.3 | <.001 | 17.985 | 12.32 | 23.66 |
| SCL: somatization | 1.7 | 0.9 | 2.0 | 0.9 | <.001 | 0.324 | 0.199 | .448 |
| SCL: obsessive–compulsive | 1.9 | 0.9 | 2.1 | 0.9 | .007 | 0.168 | 0.050 | .286 |
| SCL: interpersonal | 1.9 | 0.9 | 2.2 | 0.9 | <.001 | 0.280 | 0.159 | .401 |
| SCL: depressive | 2.2 | 0.9 | 2.4 | 0.9 | .003 | 0.191 | 0.072 | .310 |
| SCL: anxiety | 1.7 | 0.9 | 1.9 | 0.9 | .042 | 0.128 | 0.005 | .251 |
| SCL: hostility | 1.4 | 1.0 | 1.5 | 1.1 | .008 | 0.185 | 0.051 | .319 |
| SCL: phobic anxiety | 1.0 | 0.9 | 1.2 | 1.0 | .008 | 0.177 | 0.049 | .304 |
| SCL: paranoid | 1.4 | 0.9 | 1.6 | 0.9 | .002 | 0.202 | 0.086 | .319 |
| SCL: psychotic | 1.3 | 0.8 | 1.5 | 0.8 | <.001 | 0.224 | 0.120 | .327 |
| SCL: GSI | 1.7 | 0.8 | 1.9 | 0.8 | <.001 | 0.221 | 0.120 | .322 |
| SCL: PST | 63.8 | 18.9 | 67.2 | 17.1 | .003 | 3.892 | 1.457 | 6.326 |
| SCL: PSDI | 2.3 | 0.6 | 2.5 | 0.6 | <.001 | 0.185 | 0.109 | .262 |
| TCI: novelty seeking | 102.4 | 16.4 | 102.6 | 16.1 | .289 | 1.349 | −0.791 | 3.488 |
| TCI: harm avoidance | 115.4 | 20.0 | 121.1 | 17.9 | .003 | 4.381 | 1.809 | 6.952 |
| TCI: reward dependence | 103.6 | 15.4 | 103.9 | 17.0 | .638 | −0.596 | −2.710 | 1.518 |
| TCI: persistence | 111.1 | 21.5 | 106.8 | 21.9 | .030 | −3.496 | −6.371 | −.622 |
| TCI: self-directedness | 118.4 | 21.8 | 112.3 | 21.1 | .000 | −5.231 | −8.082 | −2.379 |
| TCI: cooperativeness | 135.7 | 17.3 | 133.1 | 17.7 | .023 | −3.013 | −5.311 | −.715 |
| TCI: self-transcendence | 65.5 | 14.8 | 65.9 | 15.2 | .901 | 0.125 | −1.844 | 2.093 |
Results obtained in analysis of variance (ANOVA) adjusted by age, duration of ED and subtype. p values include Bonferroni–Holm's correction. In bold: p < .05; ED, eating disorders; OB, obesity; BMI, body mass index; BITE, Bulimic Investigatory Test Edinburgh; EDI, Eating Disorders Inventory; SCL, Symptom Checklist-90; GSI, Global Severity Index; PST, Positive Symptom Total; PSDI, Positive Symptom Disease Index; TCI, Temperament and Character Inventory.
Discussion
The main finding was the high and increasing temporal prevalence of lifetime obesity in ED (28.8% of cases), particularly in BED/BN.
The second main finding of our study was that ED patients with lifetime obesity were characterized by later age of onset, higher ED severity and greater general psychopathology when compared with patients without lifetime obesity. This group had a poorer prognosis (Bulik, Sullivan, Joyce, Carter, & McIntosh, 1998; Fairburn et al., 1995). As reported in previous studies, people with obesity history had a stronger family history of obesity (Nuñez-Navarro et al., 2011; Whitaker, Jarvis, Beeken, Boniface, & Wardle, 2010) with increased childhood obesity (Brisbois, Farmer, & McCargar, 2011). This combination is associated with higher levels of eating and general psychopathology (Dingemans & van Furth, 2012) and more dysfunctional personality traits (namely higher harm avoidance, lower persistence, self-directedness and cooperativeness; Nasser et al., 2004).
The third main finding was that the threefold increase in obesity in the ED population, mainly in BED and BN, over the last 10 years, is much higher than the changing prevalence recorded in women in general population surveys (FESNAD-SEEDO, 2011; OECD, 2010). This is in agreement with the observation previously reported in other ED-related populations (McAlpine et al., 2010; Müller et al., 2012).
The results of this study should be considered within the context of the following limitations: First, the retrospective and self-report data collection procedures may limit the validity and the reliability of our findings. Second, the cross-sectional design does not allow us to determine the causality of the variables assessed. Therefore, it will be important to confirm the relevance of these results by longitudinal research that will determine the patterns of temporal association.
Research suggests that adolescents may simultaneously experience multiple weight-related problems, increasing severity over time. Therefore, clinicians treating individuals with obesity or ED should remain vigilant for the emergence of additional weight-related problems. Further, in the treatment of patients with ED and obesity, multidisciplinary approaches addressing both conditions may eventually produce superior effectiveness than those that concentrate exclusively on the problem for which the individual sought treatment.
In summary, lifetime obesity seems to become more and more prevalent among ED patients (as preceding, coexisting or consequent condition). Therefore, ED services may need to adjust their treatments to match the changing clinical profile and also when designing early or tertiary prevention strategies (Gonzalez, Penelo, Gutierrez, & Raich, 2011; Koskina et al., 2011).
Acknowledgments
Financial support was received from Fondo de Investigación Sanitaria—FIS (PI081714; PI11/210) and AGAUR (2009SGR1554). This study was supported by the Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn) and Salud Mental (CIBERsam). This work is part of the PhD thesis of Cynthia Villarejo at the University of Barcelona, who was supported by pre-doctoral Grant from AGAUR (FI 00498).
Supplementary material
Supporting information may be found in the online version of this article.
REFERENCES
- APA (American Psychiatric Association) DSM-IV-TR: Diagnostic and statistical manual of mental disorders. Revised 4th edn. Washington, DC: American Psychiatric Association; 2000. [Google Scholar]
- Bachar E, Gur E, Canetti L, Berry E, Stein D. Selflessness and perfectionism as predictors of pathological eating attitudes and disorders: A longitudinal study. European Eating Disorders Review. 2010;18:496–506. doi: 10.1002/erv.984. [DOI] [PubMed] [Google Scholar]
- Brisbois TD, Farmer AP, McCargar LJ. Early markers of adult obesity: A review. Obesity Review. 2011 doi: 10.1111/j.1467-789X.2011.00965.x. 10.1111/j.1467-789X.2011.00965.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bulik CM, Sullivan PF, Joyce PR, Carter FA, McIntosh VV. Predictors of 1-year treatment outcome in bulimia nervosa. Comprehensive Psychiatry. 1998;39:206–214. doi: 10.1016/s0010-440x(98)90062-1. [DOI] [PubMed] [Google Scholar]
- Bulik CM, Sullivan PF, Kendler KS. Medical and psychiatric morbidity in obese women with and without binge eating. International Journal of Eating Disorders. 2002;32:72–78. doi: 10.1002/eat.10072. [DOI] [PubMed] [Google Scholar]
- Bulik CM, Sullivan PF, Kendler KS. Genetic and environmental contributions to obesity and binge eating. International Journal of Eating Disorders. 2003;33:293–298. doi: 10.1002/eat.10140. [DOI] [PubMed] [Google Scholar]
- Cloninger CR. A systematic method for clinical description and classification of personality variants. A proposal. Archives of General Psychiatry. 1987;44:573–588. doi: 10.1001/archpsyc.1987.01800180093014. [DOI] [PubMed] [Google Scholar]
- Danner UN, Ouwehand C, van Haastert NL, Hornsveld H, de Ridder DT. Decision-making impairments in women with binge eating disorder in comparison with obese and normal weight women. European Eating Disorders Review. 2012;20:e56–e62. doi: 10.1002/erv.1098. [DOI] [PubMed] [Google Scholar]
- Derogatis L. SCL-90-R. A bibliography of research reports 1975–1990. Baltimore, MD: Clinical Psychometric Research; 1990. [Google Scholar]
- Derogatis LR. SCL-90-R. Cuestionario de 90 síntomas-Manual. Madrid: TEA Editorial; 2002. [Google Scholar]
- Dingemans AE, van Furth EF. Binge eating disorder psychopathology in normal weight and obese individuals. International Journal of Eating Disorders. 2012;45:135–138. doi: 10.1002/eat.20905. [DOI] [PubMed] [Google Scholar]
- Fairburn CG, Norman PA, Welch SL, O'Connor ME, Doll HA, Peveler RC. A prospective study of outcome in bulimia nervosa and the long-term effects of three psychological treatments. Archives of General Psychiatry. 1995;52:304–312. doi: 10.1001/archpsyc.1995.03950160054010. [DOI] [PubMed] [Google Scholar]
- Fandiño J, Moreira RO, Preissler C, Gaya CW, Papelbaum M, Coutinho WF, et al. Impact of binge eating disorder in the psychopathological profile of obese women. Comprehensive Psychiatry. 2010;51:110–114. doi: 10.1016/j.comppsych.2009.03.011. [DOI] [PubMed] [Google Scholar]
- Fassino S, Leombruni P, Piero A, Abbate-Daga G, Giacomo Rovera G. Mood, eating attitudes, and anger in obese women with and without binge eating disorder. Journal of Psychosomatic Research. 2003;54:559–566. doi: 10.1016/s0022-3999(02)00462-2. [DOI] [PubMed] [Google Scholar]
- Fesnad-Seedo C. Recomendaciones nutricionales basadas en la evidencia para la prevención y el tratamiento del sobrepeso y la obesidad en adultos. Revista Española de Obesidad. 2011;9(Supl. 1):5–78. [Google Scholar]
- First M, Gibbon M, Spitzer R, Williams J. Users guide for the structured clinical interview for DSM IV axis I disorders—Research version (SCID-I, version 2.0) New York: New York State Psychiatric Institute; 1996. [Google Scholar]
- Garner DM. Eating disorder inventory-2. Odessa: Psychological Assessment Resources; 1991. [Google Scholar]
- Garner DM. Inventario de Trastornos de la Conducta Alimentaria (EDI-2)-Manual. Madrid: TEA; 1998. [Google Scholar]
- Gonzalez M, Penelo E, Gutierrez T, Raich RM. Disordered eating prevention programme in schools: A 30-month follow-up. European Eating Disorders Review. 2011;19:349–356. doi: 10.1002/erv.1102. [DOI] [PubMed] [Google Scholar]
- Gunnard K, Krug I, Jimenez-Murcia S, Penelo E, Granero R, Treasure J, et al. Relevance of social and self-standards in eating disorders. European Eating Disorders Review. 2011 doi: 10.1002/erv.1148. 10.1002/erv.1148. [DOI] [PubMed] [Google Scholar]
- Gutierrez F, Torrens M, Boget T, Martin-Santos R, Sangorrin J, Perez G, et al. Psychometric properties of the temperament and character inventory (TCI) questionnaire in a Spanish psychiatric population. Acta Psychiatrica Scandinavica. 2001;103:143–147. doi: 10.1034/j.1600-0447.2001.00183.x. [DOI] [PubMed] [Google Scholar]
- Haines J, Kleinman KP, Rifas-Shiman SL, Field AE, Austin SB. Examination of shared risk and protective factors for overweight and disordered eating among adolescents. Archives of Pediatrics & Adolescent Medicine. 2010;164:336–343. doi: 10.1001/archpediatrics.2010.19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Henderson M, Freeman CP. A self-rating scale for bulimia. The ‘BITE’. The British Journal of Psychiatry. 1987;150:18–24. doi: 10.1192/bjp.150.1.18. [DOI] [PubMed] [Google Scholar]
- Hsu LK, Benotti PN, Dwyer J, Roberts SB, Saltzman E, Shikora S, et al. Nonsurgical factors that influence the outcome of bariatric surgery: A review. Psychosomatic Medicine. 1998;60:338–346. doi: 10.1097/00006842-199805000-00021. [DOI] [PubMed] [Google Scholar]
- Hsu LK, Mulliken B, McDonagh B, Krupa Das S, Rand W, Fairburn CG, et al. Binge eating disorder in extreme obesity. International Journal of Obesity and Related Metabolic Disorders. 2002;26:1398–1403. doi: 10.1038/sj.ijo.0802081. [DOI] [PubMed] [Google Scholar]
- Koskina A, Arkell J, Butcher G, Currie A, Gowers S, Key A, et al. Service providers' perceptions of the strengths and prospective improvements in UK eating disorder services: Findings from a royal college survey. European Eating Disorders Review. 2011 doi: 10.1002/erv.1149. 10.1002/erv.1149. [DOI] [PubMed] [Google Scholar]
- Marcus MD, Wildes JE. Obesity: Is it a mental disorder? International Journal of Eating Disorders. 2009;42:739–753. doi: 10.1002/eat.20725. [DOI] [PubMed] [Google Scholar]
- McAlpine DE, Frisch MJ, Rome ES, Clark MM, Signore C, Lindroos AK, et al. Bariatric surgery: A primer for eating disorder professionals. European Eating Disorders Review. 2010;18:304–317. doi: 10.1002/erv.1012. [DOI] [PubMed] [Google Scholar]
- Müller A, Claes L, Mitchell JE, Fischer J, Horbach T, de Zwaan M. Binge eating and temperament in morbidly obese prebariatric surgery patients. European Eating Disorders Review. 2012;20:e91–e95. doi: 10.1002/erv.1126. [DOI] [PubMed] [Google Scholar]
- Nasser JA, Gluck ME, Geliebter A. Impulsivity and test meal intake in obese binge eating women. Appetite. 2004;43:303–307. doi: 10.1016/j.appet.2004.04.006. [DOI] [PubMed] [Google Scholar]
- Nuñez-Navarro A, Jimenez-Murcia S, Alvarez-Moya E, Villarejo C, Diaz IS, Augmantell CM, et al. Differentiating purging and nonpurging bulimia nervosa and binge eating disorder. International Journal of Eating Disorders. 2011;44:488–496. doi: 10.1002/eat.20823. [DOI] [PubMed] [Google Scholar]
- OECD (Organization for Economic Cooperation and Development) 2010. Obesity and the economics of prevention fit not fat. OECD. http://www.oecd.org/document/31/0,3746,en_2649_33929_45999775_1_1_1_1,00.html.
- Rivas T, Bernabé R, Jiménez M. Fiabillidad y validez del test de investigación bulímica de Edimburgo (BITE) en una muestra de adolescentes españoles. Psicología Conductual. 2004;12:447–461. [Google Scholar]
- Roemmich JN, Lambiase MJ, Lobarinas CL, Balantekin KN. Interactive effects of dietary restraint and adiposity on stress-induced eating and the food choice of children. Eating Behavior. 2011;12:309–312. doi: 10.1016/j.eatbeh.2011.07.003. [DOI] [PubMed] [Google Scholar]
- Root TL, Szatkiewicz JP, Jonassaint CR, Thornton LM, Pinheiro AP, Strober M, et al. Association of candidate genes with phenotypic traits relevant to anorexia nervosa. European Eating Disorders Review. 2011;19:487–493. doi: 10.1002/erv.1138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Van den Eynde F, Treasure J. Neuroimaging in eating disorders and obesity: Implications for research. Child and Adolescent Psychiatric Clinics of North America. 2009;18:95–115. doi: 10.1016/j.chc.2008.07.016. [DOI] [PubMed] [Google Scholar]
- Volkow ND, O'Brien CP. Issues for DSM-V: Should obesity be included as a brain disorder? The American Journal of Psychiatry. 2007;164:708–710. doi: 10.1176/ajp.2007.164.5.708. [DOI] [PubMed] [Google Scholar]
- Volkow ND, Wang GJ, Fowler JS, Tomasi D, Baler R. Food and drug reward: Overlapping circuits in human obesity and addiction. Current Topics in Behavioral Neurosciences. 2011 doi: 10.1007/7854_2011_169. 10.1007/7854_2011_169. [DOI] [PubMed] [Google Scholar]
- Whitaker KL, Jarvis MJ, Beeken RJ, Boniface D, Wardle J. Comparing maternal and paternal intergenerational transmission of obesity risk in a large population-based sample. American Journal of Clinical Nutrition. 2010;91:1560–1567. doi: 10.3945/ajcn.2009.28838. [DOI] [PubMed] [Google Scholar]
- Wilson GT. Eating disorders, obesity and addiction. European Eating Disorders Review. 2010;18:341–351. doi: 10.1002/erv.1048. [DOI] [PubMed] [Google Scholar]
- Zeeck A, Stelzer N, Linster HW, Joos A, Hartmann A. Emotion and eating in binge eating disorder and obesity. European Eating Disorders Review. 2011 doi: 10.1002/erv.1066. 10.1002/erv.1066. [DOI] [PubMed] [Google Scholar]
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