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. 2015 Sep 29;3:e1275. doi: 10.7717/peerj.1275

Psychosocial functioning before and after surgical treatment for morbid obesity: reliability and validation of the Norwegian version of obesity-related problem scale

Anny Aasprang 1,2,, John Roger Andersen 1,3, Villy Våge 4,5, Ronette L Kolotkin 1,3,6,7, Gerd Karin Natvig 2
Editor: Nora Nock
PMCID: PMC4592151  PMID: 26468434

Abstract

Background. The aims of this study were to translate the Obesity-Related Problem scale (OP scale) into the Norwegian language and test its reliability, validity and responsiveness in a Norwegian sample.

Method. The questionnaire (OP scale) was translated from the original language (Swedish) into Norwegian. Patients completed the questionnaire prior to and one year after sleeve gastrectomy. Internal consistency was evaluated using Cronbach’s α. Construct validity was tested by correlating the OP-scale with the SF-36 and the Cantril Ladder using the Pearson correlation coefficient. An exploratory and confirmatory factor analysis was used to test the unidimensionality of the OP scale. Responsiveness was tested by assessing changes in the OP scale from baseline to one year post-surgery using the paired sample t-test. Floor and ceiling effect were calculated as percentages.

Results. A total of 181 patients (123 women) accepted for bariatric surgery was included in the study. The mean age was 43.1 ± 12.5 years, and mean body mass index (BMI) before surgery was 45 ± 6.9. The mean value of the OP scale at baseline was 63.30 ± 24.43 (severe impairment) and 21.01 ± 20.98 at one year follow-up (mild impairment). Internal consistency was high at baseline (Cronbach’s α 0.91). The floor effect was small at baseline and high at one year. The ceiling effect was small at baseline and at one year. Exploratory and conformatory factor analysis showed one factor with a high percent of explained variance. Correlations between OP scale at baseline, SF-36, Cantril Ladder and BMI were statistically significant and in the predicted direction to support validity of the Norwegian OP scale. After one year correlations between the change in OP scale and the change in SF-36 scores, Cantril Ladder and BMI were also statistically significant, except for the change in the Role Physical-scale. The OP scale showed greater responsiveness than either the SF-36 or Cantril Ladder.

Conclusion. These results confirm that the Norwegian version of the OP scale is a valid and reliable instrument for measuring psychosocial functioning in patients with clinically severe obesity.

Keywords: Obesity, Obesity surgery, Quality of life, OP-scale, Psychosocial functioning, Validity, Reliability, Questionnaires

Introduction

Individuals with obesity often report reduced health-related quality of life (HRQL) compared to individuals with normal weight (Fontaine & Barofsky, 2001; Kolotkin, Meter & Williams, 2001; Kushner & Foster, 2000; Larsson, Karlsson & Sullivan, 2002), and improvement in HRQL is one of the commonly stated objectives of surgical treatment of morbid obesity (Munoz et al., 2007). Several studies have shown a great improvement in HRQL after bariatric surgery (Aasprang et al., 2013; Helmio et al., 2011; Karlsson et al., 2007; Kolotkin et al., 2012; Schouten et al., 2011; Zijlstra et al., 2013) and the importance of evaluating HRQL and change in HRQL is underlined.

There are three basic approaches to measuring quality of life: disease-specific measures, generic measures and overall quality of life/life satisfaction. Both generic and disease-specific instruments are utilized to assess the burden of obesity (Fontaine & Barofsky, 2001; Kolotkin, Meter & Williams, 2001; Kushner & Foster, 2000). Generic instruments focus on broad dimensions of health and do not cover all of the domains that are relevant for specific diseases, such as obesity. On the other hand disease-specific instruments are used to capture information that is most pertinent to particular patient groups (Karlsson et al., 2003). Overall quality of life is a subjective assessment of how happy or satisfied a person is with life as a whole (Wilson & Cleary, 1995). In the past decade several obesity-specific HRQL instruments have been introduced (Duval et al., 2006; Kolotkin et al., 2001; Le Pen et al., 1998; Sullivan et al., 1993).

Psychosocial functioning is important in the assessment of HRQL in obesity (Sullivan et al., 1993), and weight related psychosocial distress is not assessed in generic instruments. The Obesity-Related Problems scale (OP scale) was developed in the Swedish Obese Subject Study (SOS) specifically to assess psychosocial problems related to obesity (Karlsson, Sjostrom & Sullivan, 1998; Sullivan et al., 1993). The OP scale is scored so that lower scores represent higher psychosocial functioning. The OP scale has been used in several studies in different countries (Karlsson et al., 2007; Kaukua et al., 2003; Larusdottir et al., 2014; Oh et al., 2013; Sovik et al., 2013), but to our knowledge the OP scale has only been validated in the Swedish, Spanish and Korean languages. Results of these validation studies show that the OP scale has satisfactory reliability and validity (Bilbao et al., 2009; Karlsson et al., 2003; Lee et al., 2013). The OP scale has not been evaluated in surgical patients undergoing sleeve gastrectomy, nor has it been used prospectively, to our knowledge, with the exception of the SOS study.

The aims of this study were to translate the OP scale into the Norwegian language and test its reliability, validity and responsiveness in a Norwegian sample. The specific hypotheses were as follows: (a) the Norwegian OP scale has satisfactory internal consistency; (b) the variability of scores reflect one factor; (c) the OP scale is negatively correlated with both the Cantril Ladder and Short form-36 (SF-36), with the highest correlation coefficient with the social function domain of the SF-36 ; (d) the OP scale is positively correlated with Body Mass Index (BMI); and (e) changes in the OP scale are negatively correlated with changes in both the SF-36 and Cantril Ladder, as well as positively correlated with weight loss as assessed by changes in BMI.

Materials and Methods

Study design and patients

Before the study began we obtained permission from the author of the original Swedish OP scale to develop and validate a Norwegian version of the OP-scale.

The cohort study was performed from 2011 to 2013 in the western region of Norway. A total of 209 patients accepted for bariatric surgery (sleeve gastrectomy) were invited to join the study. The inclusion criteria were age 18–60 years, BMI ≥40.0 or 35.0–39.9 with obesity- related comorbidities, no active psychosis, no drug or alcohol problems, and previous failure to lose weight through other methods. Written informed consent was obtained from participants to complete self-report questionnaires prior to and one year after sleeve gastrectomy. The patients completed the questionnaires at home and brought them to the hospital when they arrived for surgery (baseline) and one-year follow-up. Those who had forgotten the questionnaires were allowed to complete the questionnaires at the hospital. The investigation conforms to the principles outlined in the Declaration of Helsinki. The study was approved by the Regional Committee of Ethics in Medicine, West-Norway (reference number: 2009/2174).

Demographic characteristics and clinical data

Data were collected using a standardized form. Body weight, height, age, gender, educational level, marital status and employment status of the patients were noted. Body weight was measured in light clothing without shoes to the nearest 0.1 kg. Height was measured in a standing position without shoes to the nearest 0.01 m. Body mass index (BMI) was calculated as weight divided by height squared (kg/m2).

Questionnaires administered

The OP scale is an 8-item questionnaire developed for the SOS study to measure the impact of obesity on psychosocial functioning (Karlsson et al., 2003; Sullivan et al., 1993). The OP scales asks respondents to rate on a 4-point scale (“definitely not bothered,” “not so bothered,” “mostly bothered” and “definitely bothered”) if their obesity bothers them in activities such as private gatherings, community activities, and intimate relations. The scale is coded so that lower scores represent higher psychosocial functioning. Scores on individual items are summed to create a raw total score, which can vary between 8 and 32. This score is standardized on a scale from 0 to 100, where 100 indicates the worst possible state and 0 the best possible state. Scores below 20 indicate no or very mild impairment in psychosocial functioning. Scores between 20 and <40 indicate mild impairment, between 40 and <60 moderate impairment, between 60 and <80 severe impairment and 80 or above extreme impairment (Karlsson et al., 2003). We used version 2 of the OP scale.

The Short Form -36 (SF-36) (Norwegian version 1.2) is a well-established generic measure of the health burden of chronic diseases (Ware, 2000). The questionnaire has demonstrated good validity and reliability (Loge & Kaasa, 1998). SF-36 assesses eight dimensions of physical and mental functioning, each ranging from zero (poorest) to 100 (optimal). The subscales physical functioning, physical role function and bodily pain reflect physical functioning, and emotional role function and mental health reflect mental functioning. The subscales general health, vitality and social functioning reflect both physical and mental functioning. The SF-36 can also be divided into two summary scores, Physical Component Summary (PCS) and Mental Component Summary (MCS) (Ware, Kosinski & Dewey, 2000), where a higher score represents better physical or mental health. PCS and MCS scores are standardized so that a difference in 2–4.9 points, respectively, can be interpreted as a small effect size, 5–7.9 points, respectively, a medium effect size and 8+ points a large effect size (Cohen, 1988; Saris-Baglama et al., 2004).

Cantril Ladder is used to assess life satisfaction. The term life satisfaction is often used to describe quality of life, well-being and happiness. Respondents rate their current life satisfaction on a ladder ranging from 10 to 0, where 10 reflects the best life satisfaction and 0 reflects the worst life satisfaction. A score below 6 is considered to be low life satisfaction, and a score of 6 or more is considered to be high life satisfaction (Levin & Currie, 2014).

Translation process

The OP scale was translated from the original language (Swedish) into Norwegian, according to the standards established by the International Quality of Life Assessment Project group (Aaronson et al., 1992; Guillemin, Bombardier & Beaton, 1993). Translation from Swedish to Norwegian was conducted by two individuals whose native language was Norwegian and who have a clear understanding of conceptual meanings in both Norwegian and Swedish languages. The translators were health professionals and were professionally familiar with the concept of morbid obesity. The back translation from Norwegian to Swedish was conducted by two other individuals with an academic background from the social sciences who had Swedish as their native language, as well as a clear understanding of conceptual meanings in both Swedish and Norwegian. The translators worked separately during this phase. A consensus panel of three people compared the original version with the two translated versions and reconciled the forward translations into one common version.

The Norwegian version of the questionnaire was tested on a small sample of patients (n = 8) who had been accepted for bariatric surgery. The aim of the pilot study was to identify and solve any potential problems in the translations, such as confusing words. The patients gave feedback in focus groups composed of four individuals (4 + 4). The questionnaire was found to be easily understood, and no changes to the questionnaire were required.

Statistical analysis

Clinical and sociodemographic data were described as frequency and percentages or means ± standard deviation (SD).

Internal consistency for the OP scale was calculated using Cronbach’s α. Cronbach’s α above 0.7 was considered to be satisfactory (Cohen, 1988). We also calculated Cronbach’s α if one item was deleted. As an addition analysis we correlated the items of the OP score with the total score, and we corrected for overlap. In order to study structure validity, we performed a principal component analysis (PCA) to test whether the items on the OP-scale made up a single factor. The items with factor loading and communality ≥0.40 were considered acceptable (Staquet, Hays & Fayers, 1998). To complement our results, we performed a confirmatory factor analysis (CFA), using the following indexes and cut-offs indicating acceptable fit (Batista-Foguet, Coenders & Alonso, 2004; Devins et al., 2001; Hatcher, 1994; Mulaik, 1989): (a) chi squared divided by the degrees of freedom (χ2/DF) (<2); (b) the root mean squared error of approximation (RMSEA), (<0.08); and (c) the normed fit index (NFI) (>90) and comparative fit index (CFI) (>90). CFA factor loadings ≥0.40 were considered acceptable (Staquet, Hays & Fayers, 1998).

Convergent validity was tested by correlating the OP scale with the SF-36, Cantril Ladder, and BMI, using the Pearson correlation coefficient. A value of <0.1 was considered as trivial, 0.1–0.29 as small, 0.3–0.49 as moderate and values ≥0.5 as large (Cohen, 1988). We tested the association between OP scale and gender by independent T-tests and the association between OP scale and age by Pearson correlation.

A change in OP scale, Cantril ladder and SF-36 from baseline to one year post-surgery was tested using the paired sample t-test. Magnitude of responsiveness was studied by calculating effect sizes (i.e., mean change between assessments, divided by the standard deviation of change) (Cohen, 1988). An effect size <0.2 was considered as trivial, 0.2–<0.5 as small, 0.5–<0.8 as moderate and large ≥0.8 (Cohen, 1988). Comparison of baseline characteristics between responders and non-responders to the follow up was tested by chi-squared (categorical variable) and independent T-test (continuous variables). Floor and ceiling effects were calculated as percentages. Floor or ceiling effects should be below 15% to meet acceptable measurement standards (Wyrwich, Tierney & Wolinsky, 1999).

Given a significance level of 0.05 and a power of 80% we would be able to detect a significant correlation of 0.24 or more between OP scale and other measures when N = 130. Statistical analyses were performed with the statistical program Statistical Package for Social Sciences, for windows, version 22.0 (SPSS, Chicago, Illinois, USA). CFA was conducted using an add-on feature of SPSS Inc. software, AMOS Version 22.0.0.

Results

Figure 1 describes the flow of patients through the study. A total of 209 patients were invited to participate in the study. Baseline analyses were based on 181 patients, and follow-up analyses were based on 130 patients. Among the 181 included patients 123 (68%) were female. Patient characteristics are presented in Table 1. The mean age was 43.1 ± 12.5 years, and mean body mass index before surgery was 45 ± 6.9. The attrition rates (14%) at the 1-year follow-up was higher in women (p = 0.013) and in those who had a lower score on the Cantril Ladder at baseline (p = 0.002).

Figure 1. Flow of patients.

Figure 1

∗ Excluded due to problems with the data-gathering routines. ∗∗ For 26 of the patients we had no post-surgery data because there was less than a year since surgery. Three patients did not meet for follow-up appointment, 21 were excluded due to problems with the data-gathering routines and one had the control with his GP and did not send the questionnaire to the hospital.

Table 1. Characteristics of the patients (n = 181).

Variable Value
Age (yr), mean ± SD 43.1 ± 12.5
Gender, Woman, n (%) 123 (68.0)
Mean body mass index (kg/m2) baseline, mean ± SD 45.0 ± 6.9
Current marital status, n (%)
Married/cohabitants 114 (63.0)
Live alone 66 (37.0)
Education, n (%)
Primary school 42 (23.2)
High school 96 (53.0)
University ≤4 y 28 (15.5)
University >4 y 13 (7.2)

Notes.

SD
standard deviation

Number of patients ranges from 179 to 181.

In Table 2 statistics are presented for OP scale item-total correlations, Cronbach’s α, exploratory factor analysis factor loadings and item communalities at baseline. The patients completed all the items in the OP scale so we had no missing data. Item-total correlations correcting for overlap ranged from 0.53 to 0.80. Cronbach’s α for the OP-scale total score was 0.91. Cronbach’s α if one item deleted ranged from 0.89 to 0.91 for OP scale items. The PCA showed that a single factor explained 62.2% of the variance in the OP-scale. Factor loadings ranged from 0.62 to 0.86 and item communalities from 0.39 to 0.74. The CFA showed that the modification indices (M.I) indicated a high covariance between item 1 and 2 (M.I = 21.37, Par change = 0.135). This could be related to the items having quite similar wording about attending a party and that the items are placed after each other in the questionnaire. Thus, we let the error terms of item 1 and 2 covariate in the model resulting in an improved model fit. The results of the CFA were as follows: χ2/DF = 1.89, RMSEA = 0.070, NFI = 0.96 and CFI = 0.98. Factor loadings ranged from 0.55 to 0.86 (Ps < 0.001).

Table 2. Reliability analyses and exploratory and confirmatory factor analyses (n = 181).

Standarized Cronbach’s α of OP scale baseline 0.91. The PCA showed that a single factor explained 62.2% of the variance in the OP-scale.

Item Item description Item-total correlationa α if one item deleted Exploratory factor analysis loading Exploratory factor analysis communality Confirmatory factor analysis loading
1 Private gatherings in my own home 0.69 0.90 0.77 0.60 0.70
2 Private gatherings in a friend’s home 0.80 0.89 0.86 0.74 0.82
3 Going to a restaurant 0.80 0.89 0.86 0.74 0.86
4 Going to community activities 0.72 0.90 0.84 0.70 0.83
5 Holidays away from home 0.78 0.89 0.84 0.71 0.83
6 Trying and buying clothes 0.66 0.91 0.74 0.54 0.69
7 Bathing in public places 0.53 0.91 0.62 0.39 0.55
8 Intimate relations with partner 0.67 0.90 0.745 0.56 0.69

Notes.

a

The item total correlation with its own OP scale correcting for overlap.

At baseline the correlation coefficients between the OP scale and all the self-reported measures and BMI were statistically significant and in the predicted direction (Table 3). We found no association between OP scale and age and gender (data not shown). After one year, the correlation coefficients between the change in OP scale and the change in self-reported measures and change in BMI were also statistically significant, except for the change in the RP-scale (Table 3).

Table 3. Correlations between OP scale, SF-36 and Cantril Ladder at baseline and between changes in these scores after one year.

OP Baseline (n ranged from 175 to 181) Δ OP (n ranged from 124 to 130)
Life satisfaction Baseline −.561 (p < 0.001)
BMI Baseline .186 (p = 0.012)
SF-36
PCS Baseline −.410 (p < 0.001)
MCS Baseline −.624 (p < 0.001)
Physical function −.321 (p < 0.001)
Physical role function −.268 (p < 0.001)
Bodily pain −.299 (p < 0.001)
General health −.367 (p < 0.001)
Vitality −.460 (p < 0.001)
Social function −.582 (p < 0.001)
Emotional role function −.373 (p < 0.001)
Mental health −.570 (p < 0.001)
Δ Life satisfaction −.394 (p < 0.001)
Δ BMI −.280 (p < 0.001)
Δ SF-36
Δ PCS −.248 (p = 0.006)
Δ MCS −.339 (p < 0.001)
Δ Physical function −.266 (p = 0.002)
Δ Physical role function −.091 (p = 0.306)
Δ Bodily pain −.193 (p = 0.028)
Δ General health −.229 (p = 0.009)
Δ Vitality −.255 (p = 0.004)
Δ Social function −.328 (p < 0.001)
Δ Emotional role function −.221 (p = 0.013)
Δ Mental health −.250 (p = 0.004)

Notes.

Δ
change
SD
standard deviation
PCS
physical component summary
MCS
mental component summary

Since a higher score on the OP scale indicates poorer psychosocial functioning, the correlation between change in OP scale and change in SF-36 and Cantril Ladder is negative.

Data are given as Pearson’s r correlation coefficients. P values < 0.05 were considered statistically significant.

The mean value of the OP-scale was 63.30 ± 24.43 (severe impairment) at baseline and 21.01 ± 20.98 (mild impairment) at 1 year (Table 4). Mean scores for the SF-36 and Cantril Ladder are also presented in Table 4, as well as results of the paired samples t-test to evaluate the responsiveness of changes in the OP scale following surgery. The OP scale had a higher responsiveness (ES 1.7) than the SF-36 (PCS 1.5, MCS 1.0) and Cantril Ladder (ES 1.4). The percentage of patients scoring at the lowest possible level (floor effect) was 1.1% at baseline and 20% at 1 year. The percentage score at the highest possible level (ceiling effect) was 3.9% at baseline and 0% at 1 year.

Table 4. Mean score on OP scale, SF-36 and Cantril Ladder at baseline and at one year post-surgery.

Scores Baseline Mean (SD) (n = 130) 1 year post-surgery Mean (SD) (n = 130) p-value ES
OP scale 63.30 (24.43) 21.08 (20.98) <0.001 1.7
Cantril Ladder 5.01 (1.81) 7.49 (1.51) <0.001 1.4
SF-36
PCS 37.41 (9.56) 51.90 (8.93) <0.001 1.5
MCS 42.82 (10.40) 53.35 (9.44) <0.001 1.0
Physical function 58.19 (21.99) 88.51 (16.68) <0.001 1.4
Physical role function 41.03 (38.03) 80.96 (31.56) <0.001 1.1
Bodily pain 49.44 (24.63) 69.92 (26.16) <0.001 0.8
General health 46.99 (20.01) 78.36 (19.51) <0.001 1.6
Vitality 35.69 (18.32) 61.23 (22.02) <0.001 1.4
Social function 64.60 (28.38) 88.65 (19.02) <0.001 0.8
Emotional role function 64.06 (39.60) 89.58 (27.35) <0.001 0.6
Mental health 69.84 (14.72) 82.12 (15.43) <0.001 0.7

Notes.

SD
standard deviation
ES
effect size
PCS
physical component summary
MCS
mental component summary

Discussion

Our aim was to translate the OP scale into the Norwegian language and to tests its psychometric properties and responsiveness in a group of severely obese Norwegians prior to and one year after bariatric surgery. The study shows that the Norwegian version of the OP scale is a reliable and valid instrument. The SOS study showed that the OP scale’s psychometric properties were strongly supported, and our results reproduced the same good performance in terms of validity and reliability (Karlsson et al., 2003).

It has also been shown that the OP scale is valid and reliable for use in Spain and Korea (Bilbao et al., 2009; Lee et al., 2013). Our study population is similar to the study population in other validation studies of the OP scale (i.e., bariatric surgery patients) (Bilbao et al., 2009; Karlsson et al., 2003). The mean OP score in our sample prior to surgery was similar to the Korean validation study (Lee et al., 2013) but a little higher than in the original Swedish study and in the Spanish validation study (Bilbao et al., 2009; Karlsson et al., 2003).

In our study, the internal consistency was above the recommended value >0.70 (Nunnally & Bernstein, 1994) which confirms the hypothesis that the Norwegian version of the OP scale has satisfactory internal consistency. This is a similar result as in other validation studies of the OP scale (Bilbao et al., 2009; Karlsson et al., 2003; Lee et al., 2013).

The factor analysis results confirm the unidimensionality of the OP scale. The majority of the total variance is explained by one factor with a high percentage of the variance explained by this factor, similar to that found by the authors of the original questionnaire (Karlsson et al., 2003) and in the Spanish version (Bilbao et al., 2009). The convergent validity of the OP scale was assessed by examining the relationship between the OP scale and SF-36 and Cantril Ladder. High levels of convergent validity were found. The OP scale had significant negative correlation with all eight domains and the two summary measures of SF-36 and also for Cantril Ladder at baseline. The OP scale had a lower correlation coefficient with role physical and higher correlation coefficient with the social function domain. This is not surprising given that OP scale measures one aspect of psychosocial functioning. These last findings have been reported by Bilbao et al. (2009). BMI showed a significant positive correlation with the OP scale, as was found in other studies (Bilbao et al., 2009; Karlsson et al., 2003).

We found significant negative correlations between changes in OP scale and changes in the SF-36 (all the domains and the two summary scores), except for physical role function. This is likely explained by the response categories for physical role which have a low degree of precision (yes versus no). As far as we know, there have not been any previously published studies describing correlations of change scores for the OP scale. Change in life satisfaction was also significant negative correlated with the OP scale, which means that there is a strong relationship between life satisfaction and psychosocial functioning.

Responsiveness of change in OP scale and other self-report measures was analysed by comparing changes in OP scale, SF-36 and Cantril Ladder at baseline and one year after surgery. The OP scale was more responsive to change compared than the SF-36 and Cantril Ladder. These findings are similar to the OP scale in Sweden, where the questionnaire was developed (Karlsson et al., 2003). Other validation studies have not tested the responsiveness before and after surgery (Bilbao et al., 2009; Lee et al., 2013).

Baseline floor and ceiling effects of the OP scale were small, similar to the original version. It is desired that ceiling and floor effect should be minimal (Karlsson et al., 2003). We found floor effects at 20% at one-year follow-up (20% of participants scored at the best possible state). This might suggests that the OP scale might lack the ability to capture changes occurring over time for given individuals. However it is perhaps more likely that having the best possible score actually means that the patients have no problems.

The OP scale measures the impact of obesity on psychosocial functioning. A limitation of the present study is that the OP scale was only validated in a group of patients that had been accepted for bariatric surgery (BMI ≥35), and it is therefore unknown if the Norwegian OP scale is equally valid, reliable, and responsive in other groups of individuals with obesity, for example patients with a BMI between 30 and 35. It is unclear how the small attrition rate (14%) influenced the results. A strength of the study is, however, that we studied responsiveness from baseline to one year after surgery, and it also strengthens the study that we compared the OP scale with well validated HRQL instruments. Finally, as far as we know, this is the first study that has used correlation of change scores in the validation of OP scale.

In conclusion, this Norwegian version of the OP scale is a valid and reliable instrument for measuring psychosocial functioning in a sample with clinically severe obesity in Norway.

Acknowledgments

We thank L Schjelderup from the Department of Surgery, Førde Central Hospital, for assisting with the data collection.

Funding Statement

The study was financially supported by the Faculty of Health Studies, Sogn og Fjordane University College, Norway. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Additional Information and Declarations

Competing Interests

Ronette L Kolotkin is an employee of Quality of Life Consulting.

Author Contributions

Anny Aasprang conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

John Roger Andersen conceived and designed the experiments, analyzed the data, contributed reagents/materials/analysis tools, wrote the paper, prepared figures and/or tables, reviewed drafts of the paper.

Villy Våge and Ronette L. Kolotkin reviewed drafts of the paper.

Gerd Karin Natvig conceived and designed the experiments, reviewed drafts of the paper.

Human Ethics

The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):

The study was approved by the Regional Committee of Ethics in Medicine, West-Norway (Reference number 2009/2174).

Data Availability

The following information was supplied regarding data availability:

http://dx.doi.org/10.5281/zenodo.15961.

References

  • Aaronson et al. (1992).Aaronson NK, Acquadro C, Alonso J, Apolone G, Bucquet D, Bullinger M, Bungay K, Fukuhara S, Gandek B, Keller S, Razavi D, Sanson-Fisher R, Sullivan M, Wood-Dauphinee S, Wagner A, Ware JE., Jr International quality of life assessment (IQOLA) project. Quality of Life Research. 1992;1:349–351. doi: 10.1007/BF00434949. [DOI] [PubMed] [Google Scholar]
  • Aasprang et al. (2013).Aasprang A, Andersen JR, Våge V, Kolotkin RJ, Natvig GK. Five-year changes in health-related quality of life after biliopancreatic diversion with duodenal switch. Obesity Surgery. 2013;23(10):1662–1668. doi: 10.1007/s11695-013-0994-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Batista-Foguet, Coenders & Alonso (2004).Batista-Foguet JM, Coenders G, Alonso J. Confirmatory factor analysis. Its role on the validation of health related questionnaires. Medicina Clinica. 2004;122(Suppl 1):21–27. doi: 10.1157/13057542. [DOI] [PubMed] [Google Scholar]
  • Bilbao et al. (2009).Bilbao A, Mar J, Mar B, Arrospide A, Martinez de Aragon G, Quintana JM. Validation of the Spanish translation of the questionnaire for the obesity-related problems scale. Obesity Surgery. 2009;19:1393–1400. doi: 10.1007/s11695-009-9800-3. [DOI] [PubMed] [Google Scholar]
  • Cohen (1988).Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale: Lawrence Erlbaum Associates; 1988. [Google Scholar]
  • Devins et al. (2001).Devins GM, Dion R, Pelletier LG, Shapiro CM, Abbey S, Raiz LR, Binik YM, McGowan P, Kutner NG, Beanlands H, Edworthy SM. Structure of lifestyle disruptions in chronic disease: a confirmatory factor analysis of the Illness Intrusiveness Ratings Scale. Medical Care. 2001;39:1097–1104. doi: 10.1097/00005650-200110000-00007. [DOI] [PubMed] [Google Scholar]
  • Duval et al. (2006).Duval K, Marceau P, Perusse L, Lacasse Y. An overview of obesity-specific quality of life questionnaires. Obesity Reviews. 2006;7:347–360. doi: 10.1111/j.1467-789X.2006.00244.x. [DOI] [PubMed] [Google Scholar]
  • Fontaine & Barofsky (2001).Fontaine KR, Barofsky I. Obesity and health-related quality of life. Obesity Reviews. 2001;2:173–182. doi: 10.1046/j.1467-789x.2001.00032.x. [DOI] [PubMed] [Google Scholar]
  • Guillemin, Bombardier & Beaton (1993).Guillemin F, Bombardier C, Beaton D. Cross-cultural adaptation of health-related quality of life measures: literature review and proposed guidelines. Journal of Clinical Epidemiology. 1993;46:1417–1432. doi: 10.1016/0895-4356(93)90142-N. [DOI] [PubMed] [Google Scholar]
  • Hatcher (1994).Hatcher L. A step-by-step approach to using SAS System for factor analysis and structual equationmodelling. Cary: SAS Institute Inc; 1994. Developing measurement models with confirmatory factor analysis. [Google Scholar]
  • Helmio et al. (2011).Helmio M, Salminen P, Sintonen H, Ovaska J, Victorzon M. A 5-year prospective quality of life analysis following laparoscopic adjustable gastric banding for morbid obesity. Obesity Surgery. 2011;21:1585–1591. doi: 10.1007/s11695-011-0425-y. [DOI] [PubMed] [Google Scholar]
  • Karlsson, Sjostrom & Sullivan (1998).Karlsson J, Sjostrom L, Sullivan M. Swedish obese subjects (SOS)–an intervention study of obesity. Two-year follow-up of health-related quality of life (HRQL) and eating behavior after gastric surgery for severe obesity. International Journal of Obesity and Related Metabolic Disorders. 1998;22:113–126. doi: 10.1038/sj.ijo.0800553. [DOI] [PubMed] [Google Scholar]
  • Karlsson et al. (2007).Karlsson J, Taft C, Ryden A, Sjöström L, Sullivan M. Ten-year trends in health-related quality of life after surgical and conventional treatment for severe obesity: the SOS intervention study. International Journal of Obesity. 2007;31:1248–1261. doi: 10.1038/sj.ijo.0803573. [DOI] [PubMed] [Google Scholar]
  • Karlsson et al. (2003).Karlsson J, Taft C, Sjostrom L, Torgerson JS, Sullivan M. Psychosocial functioning in the obese before and after weight reduction: construct validity and responsiveness of the Obesity-related Problems scale. International Journal of Obesity and Related Metabolic Disorders. 2003;27:617–630. doi: 10.1038/sj.ijo.0802272. [DOI] [PubMed] [Google Scholar]
  • Kaukua et al. (2003).Kaukua J, Pekkarinen T, Sane T, Mustajoki P. Health-related quality of life in obese outpatients losing weight with very-low-energy diet and behaviour modification–a 2-y follow-up study. International Journal of Obesity and Related Metabolic Disorders. 2003;27:1233–1241. doi: 10.1038/sj.ijo.0802379. [DOI] [PubMed] [Google Scholar]
  • Kolotkin et al. (2001).Kolotkin RL, Crosby RD, Kosloski KD, Williams GR. Development of a brief measure to assess quality of life in obesity. Obesity Research. 2001;9:102–111. doi: 10.1038/oby.2001.13. [DOI] [PubMed] [Google Scholar]
  • Kolotkin et al. (2012).Kolotkin RL, Davidson LE, Crosby RD, Hunt SC, Adams TD. Six-year changes in health-related quality of life in gastric bypass patients versus obese comparison groups. Surgery for Obesity and Related Diseases. 2012;8:625–633. doi: 10.1016/j.soard.2012.01.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Kolotkin, Meter & Williams (2001).Kolotkin RL, Meter K, Williams GR. Quality of life and obesity. Obesity Research. 2001;2:219–229. doi: 10.1046/j.1467-789X.2001.00040.x. [DOI] [PubMed] [Google Scholar]
  • Kushner & Foster (2000).Kushner RF, Foster GD. Obesity and quality of life. Nutrition. 2000;16:947–952. doi: 10.1016/S0899-9007(00)00404-4. [DOI] [PubMed] [Google Scholar]
  • Larsson, Karlsson & Sullivan (2002).Larsson U, Karlsson J, Sullivan M. Impact of overweight and obesity on health-related quality of life–a Swedish population study. International Journal of Obesity and Related Metabolic Disorders. 2002;26:417–424. doi: 10.1038/sj.ijo.0801919. [DOI] [PubMed] [Google Scholar]
  • Larusdottir et al. (2014).Larusdottir H, Saevarsdottir H, Steingrimsdottir L, Guethmundsson L, Arnarson EO. The effectiveness of the treatment program “Enjoy eating” on health and mood in obese women. Laeknabladid. 2014;100:27–33. doi: 10.17992/lbl.2014.01.528. [DOI] [PubMed] [Google Scholar]
  • Lee et al. (2013).Lee YJ, Moon KH, Choi JH, Cho MJ, Shin SH, Heo Y. Validation of the Korean translation of obesity-related problems scale assessing the quality of life in obese Korean. Journal of the Korean Surgical Society. 2013;84:140–153. doi: 10.4174/jkss.2013.84.3.140. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Le Pen et al. (1998).Le Pen C, Levy E, Loos F, Banzet MN, Basdevant A. “Specific” scale compared with “generic” scale: a double measurement of the quality of life in a French community sample of obese subjects. Journal of Epidemiology and Community Health. 1998;52:445–450. doi: 10.1136/jech.52.7.445. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Levin & Currie (2014).Levin KA, Currie C. Reliability and validity of an adapted version of the Cantril Ladder for use with adolescent samples. Social Indicators Research. 2014;119:1047–1063. doi: 10.1007/s11205-013-0507-4. [DOI] [Google Scholar]
  • Loge & Kaasa (1998).Loge JH, Kaasa S. Short form 36 (SF-36) health survey: normative data from the general Norwegian population. Scandinavian Journal of Social Medicine. 1998;26:250–258. [PubMed] [Google Scholar]
  • Mulaik (1989).Mulaik S. Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin. 1989;105:430–445. doi: 10.1037/0033-2909.105.3.430. [DOI] [Google Scholar]
  • Munoz et al. (2007).Munoz DJ, Lal M, Chen EY, Mansour M, Fischer S, Roehrig M, Sanchez-Johnsen L, Dymek-Valenitine M, Alverdy J, le Grange D. Why patients seek bariatric surgery: a qualitative and quantitative analysis of patient motivation. Obesity Surgery. 2007;17:1487–1491. doi: 10.1007/s11695-008-9427-9. [DOI] [PubMed] [Google Scholar]
  • Nunnally & Bernstein (1994).Nunnally J, Bernstein I. Psychometric theory. New Yourk: McGraw-Hill; 1994. [Google Scholar]
  • Oh et al. (2013).Oh SH, Song HJ, Kwon JW, Park DJ, Lee YJ, Chun H, Kim S, Shim KW. The improvement of quality of life in patients treated with bariatric surgery in Korea. Journal of the Korean Surgical Society. 2013;84:131–139. doi: 10.4174/jkss.2013.84.3.131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Saris-Baglama et al. (2004).Saris-Baglama RN, Deway CJ, Chisholm GB, Kosinski M, Bjorner JB, Ware JE., Jr . SF health outcomes™ scoring software user’s guide. Lincoln: Quality Metric, Incorporated; 2004. [Google Scholar]
  • Schouten et al. (2011).Schouten R, Wiryasaputra DC, Van Dielen FM, Van Gemert WG, Greve JW. Influence of reoperations on long-term quality of life after restrictive procedures: a prospective study. Obesity Surgery. 2011;21:871–879. doi: 10.1007/s11695-010-0350-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Sovik et al. (2013).Sovik TT, Karlsson J, Aasheim ET, Fagerland MW, Bjorkman S, Engstrom M, Kristinsson J, Olbers T, Mala T. Gastrointestinal function and eating behavior after gastric bypass and duodenal switch. Surgery for Obesity and Related Diseases. 2013;9:641–647. doi: 10.1016/j.soard.2012.06.006. [DOI] [PubMed] [Google Scholar]
  • Staquet, Hays & Fayers (1998).Staquet MJ, Hays RD, Fayers PM. Quality of life assessment in clinical trials. Oxford: Oxford Press; 1998. [Google Scholar]
  • Sullivan et al. (1993).Sullivan M, Karlsson J, Sjostrom L, Backman L, Bengtsson C, Bouchard C, Dahlgren S, Jonsson E, Larsson B, Lindstedt S, Näslund I, Olbe L, Wedel H. Swedish obese subjects (SOS)–an intervention study of obesity. Baseline evaluation of health and psychosocial functioning in the first 1,743 subjects examined. International Journal of Obesity and Related Metabolic Disorders. 1993;17:503–512. [PubMed] [Google Scholar]
  • Ware (2000).Ware JE. SF-36 health survey: manual & interpretation guide. Lincoln: Quality Metric Incorporated; 2000. [Google Scholar]
  • Ware, Kosinski & Dewey (2000).Ware JE, Kosinski M, Dewey JE. How to score version 2 of the SF-36 health syrvey. Lincoln: Quality Metric Incorporated; 2000. [Google Scholar]
  • Wilson & Cleary (1995).Wilson IB, Cleary PD. Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes. JAMA. 1995;273:59–65. doi: 10.1001/jama.1995.03520250075037. [DOI] [PubMed] [Google Scholar]
  • Wyrwich, Tierney & Wolinsky (1999).Wyrwich KW, Tierney WM, Wolinsky FD. Further evidence supporting an SEM-based criterion for identifying meaningful intra-individual changes in health-related quality of life. Journal of Clinical Epidemiology. 1999;52:861–873. doi: 10.1016/S0895-4356(99)00071-2. [DOI] [PubMed] [Google Scholar]
  • Zijlstra et al. (2013).Zijlstra H, Larsen JK, Wouters EJM, Van Ramshorst B, Geenen R. The long-term course of quality of life and the prediction of weight outcome after laparoscopic adjustable gastric banding: a prospective study. Bariatric Surgical Patient Care. 2013;8:18–22. doi: 10.1089/bari.2013.9998. [DOI] [Google Scholar]

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Data Availability Statement

The following information was supplied regarding data availability:

http://dx.doi.org/10.5281/zenodo.15961.


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