Comparing Self-Report Measures of Internalized Weight Stigma: The Weight Self-Stigma Questionnaire versus the Weight Bias Internalization Scale

Claudia Hübner; Ricarda Schmidt; Janine Selle; Hinrich Köhler; Astrid Müller; Martina de Zwaan; Anja Hilbert

doi:10.1371/journal.pone.0165566

Abstract

Background

Internalized weight stigma has gained growing interest due to its association with multiple health impairments in individuals with obesity. Especially high internalized weight stigma is reported by individuals undergoing bariatric surgery. For assessing this concept, two different self-report questionnaires are available, but have never been compared: the Weight Self-Stigma Questionnaire (WSSQ) and the Weight Bias Internalization Scale (WBIS). The purpose of the present study was to provide and to compare reliability, convergent validity with and predictive values for psychosocial health outcomes for the WSSQ and WBIS.

Methods

The WSSQ and the WBIS were used to assess internalized weight stigma in N = 78 prebariatric surgery patients. Further, body mass index (BMI) was assessed and body image, quality of life, self-esteem, depression, and anxiety were measured by well-established self-report questionnaires. Reliability, correlation, and regression analyses were conducted.

Results

Internal consistency of the WSSQ was acceptable, while good internal consistency was found for the WBIS. Both measures were significantly correlated with each other and body image. While only the WSSQ was correlated with overweight preoccupation, only the WBIS was correlated with appearance evaluation. Both measures were not associated with BMI. However, correlation coefficients did not differ between the WSSQ and the WBIS for all associations with validity measures. Further, both measures significantly predicted quality of life, self-esteem, depression, and anxiety, while the WBIS explained significantly more variance than the WSSQ total score for self-esteem.

Conclusions

Findings indicate the WSSQ and the WBIS to be reliable and valid assessments of internalized weight stigma in prebariatric surgery patients, although the WBIS showed marginally more favorable results than the WSSQ. For both measures, longitudinal studies on stability and predictive validity are warranted, for example, for weight-related and psychosocial outcomes.

Citation: Hübner C, Schmidt R, Selle J, Köhler H, Müller A, de Zwaan M, et al. (2016) Comparing Self-Report Measures of Internalized Weight Stigma: The Weight Self-Stigma Questionnaire versus the Weight Bias Internalization Scale. PLoS ONE 11(10): e0165566. https://doi.org/10.1371/journal.pone.0165566

Editor: Siew Hua Gan, Universiti Sains Malaysia, MALAYSIA

Received: July 22, 2016; Accepted: October 13, 2016; Published: October 28, 2016

Copyright: © 2016 Hübner et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: The study was supported by the Federal Ministry of Education and Research, Germany (BMBF; www.bmbf.de), FKZ: 01EO1501. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Internalization of weight stigma in individuals with overweight and obesity has gained growing clinical and research interest due to its significant associations with multiple health impairments. Two different self-report questionnaires are internationally available for assessing this concept, but have never been compared: the Weight Self-Stigma Questionnaire [1] and the Weight Bias Internalization Scale [2]. Therefore, the present study sought to compare their psychometric properties and predictive values for health outcomes.

During the last decades, the prevalence of weight stigmatization has substantially increased [3,4]. Weight stigmatization characterized by weight-related negative stereotypes, prejudice, and discrimination [5] is omnipresent. Individuals with overweight and obesity are exposed to weight stigmatization in many domains of life, for example, in employment, in educational and health care settings, in the media as well as in interpersonal relationships [6]. Research provides strong empirical evidence that experiencing weight stigma is associated with greater psychosocial impairment [7–9] and is more likely with increasing body mass index (BMI, kg/m²; [10]).

As a specific consequence of weight stigma experiences, individuals with overweight and obesity tend to internalize public weight stigma, applying the predominant, negative weight stereotypes to the own person [2]. More stigmatization of bariatric surgery patients relative to individuals with obesity in conservative weight loss treatment was found after standardizing for BMI and achieved weight loss, potentially because less personal responsibility for the weight loss was attributed to patients pursuing this weight loss approach [11–13]. Relatedly, internalized weight stigma was greater in the specific subsample of individuals undergoing bariatric surgery [14] compared to the population of individuals with overweight and obesity [15]. Interestingly, research produced heterogeneous results with regard to the association of internalized weight stigma and BMI: while internalized weight stigma was positively correlated with BMI in one study [1], there was no association between internalized weight stigma and BMI in other studies [2,16]. Previous studies yielded associations between internalized weight stigma and higher levels of psychopathology (e.g., depression, anxiety, eating disorder psychopathology, body image concern, lower self-esteem, and quality of life), and poorer physical and mental health in individuals with overweight and obesity in general as well as in the specific subsample of prebariatric surgery patients [2,14,15,17–23]. The explanatory power of internalized weight stigma on psychosocial aspects (e.g., depression, body image, exercise behavior) exceeded that of BMI, depression, self-esteem, own stigmatizing attitudes, and own weight stigma experiences [2,8,15,22]. Additionally, internalized weight stigma predicted poorer weight loss outcome in bariatric patients 12 months after surgery [24] as well as in individuals with overweight and obesity six months after conservative weight loss treatment [25]. Altogether, previous findings underscore the relevance of assessing this concept for improving treatment outcomes of individuals with high levels of internalized weight stigma.

The most common assessment avenues of internalized weight stigma rely on self-reports with two questionnaires being available: the Weight Self-Stigma Questionnaire (WSSQ) [1] and the Weight Bias Internalization Scale (WBIS) [2]. The reliable WSSQ was validated in individuals with overweight and obesity and considers internalized weight stigma as a construct with two distinct factors–self-devaluation and fear of enacted stigma–each assessed by six items [1]. In contrast, the WBIS originally contains 11 items assessing internalized weight stigma as a single construct. It is internationally well-established with reliable, valid population norms being available [15]. However, a comparison between the WSSQ and the WBIS with regard to reliability, convergent validity with as well as predictive values for health outcomes has not been conducted until yet.

The present study aimed to investigate item statistics of the WSSQ, its reliability, convergent validity, and predictive values for diverse psychosocial outcomes (i.e., quality of life, self-esteem, depression, anxiety) in a German prebariatric surgery sample as individuals undergoing bariatric surgery report especially high internalized weight stigma [14,15]. Further, reliability, convergent validity, and predictive values were compared between the WSSQ and the WBIS as well as between the WSSQ subscales. It was hypothesized that the WSSQ, its subscales, and the WBIS would show good reliability. In addition, the WSSQ, its subscales, and the WBIS were assumed to be positively associated with each other and significantly associated with negative body image. Due to inconsistent findings, no assumptions were made with regard to the association of the WSSQ, its subscales, and the WBIS with BMI. It was further hypothesized that the WSSQ, its subscales, and the WBIS would predict poorer quality of life and self-esteem as well as greater depression and anxiety.

Materials and Methods

Study Design and Participants

This study was part of a larger project that investigated the impact of body contouring surgery after bariatric surgery on psychosocial aspects. It was approved by the Institutional Review Board of Hannover Medical School and was conducted according to the principles expressed in the Declaration of Helsinki. The larger project is described in detail elsewhere [26]. The present cross-sectional study included all data of a subsample consisting of N = 78 patients prior bariatric surgery recruited between September 2013 and May 2014 in the larger project through the Department of Psychosomatic Medicine and Psychotherapy at Hannover Medical School. All participants provided written informed consent prior to study participation. Paper- and pencil-based data collection proceeded independently from psychological evaluation and patients were informed that the study data would not be shared with clinicians.

Questionnaire Translation

The original English WSSQ [1] was translated by the German-speaking first author into German. This translated version was reviewed with regard to practicability by the workgroup comprising researchers with multi-annual expertise in the field of obesity resulting in minor changes with respect to German expression and syntax. Hence, the corrected German version of the WSSQ was back-translated by a blinded certified licensed translator. Subsequently, a congruence check of the back-translated version was conducted without detecting any incongruence.

Measures

Weight Self-Stigma Questionnaire (WSSQ).

The WSSQ assesses two aspects of internalized weight stigma: self-devaluation (e.g., “I caused my weight problems”) and fear of enacted stigma (e.g., “I feel insecure about others’ opinions of me”) [1]. Each subscale contained six items rated on a 5-point Likert scale ranging from 1 = completely disagree to 5 = completely agree. Sum scores for each subscale as well as a total sum score were computed with higher scores indicating greater internalized weight stigma. Good validity and reliability have been documented for the original English version with internal consistencies of α = 0.88 (WSSQ total score), α = 0.87 (WSSQ fear of enacted stigma), and α = 0.81 (WSSQ self-devaluation), respectively [1].

Weight Bias Internalization Scale (WBIS).

Each item of the 11-item version of the WBIS ([2,15]; e.g., “I feel anxious about being overweight because of what people might think of me”) was rated on a 7-point Likert scale from 1 = strongly disagree to 7 = strongly agree. As recent psychometric analysis of the WBIS recommended removal of item 1 due to insufficient item-total correlations [15], a mean score was computed of the remaining 10 items with higher scores indicating greater internalized weight stigma. The 10-item version of the German WBIS has shown good validity and excellent reliability with an internal consistency of α = 0.91 [15].

Multidimensional Body-Self Relations Questionnaire–Appearance Scales (MBSRQ-AS).

To assess participants’ body image, three subscales of the MBSRQ-AS [27,28] were used: overweight preoccupation (four items), appearance evaluation (seven items), and appearance orientation (12 items), rated on a 5-point Likert scale from 1 = definitely disagree/never to 5 = definitely agree/very often. Overweight preoccupation includes the concepts fat anxiety, weight vigilance, dieting, and restrained eating. While appearance evaluation assesses appraisal of the own appearance, appearance orientation focuses on cognitive-behavioral investment in the own appearance indicated by its importance in thoughts and behavior. For each subscale, a mean score was computed with higher scores indicating more overweight preoccupation, better appearance evaluation, and more appearance orientation, respectively. Good validity and acceptable to excellent reliability of the mentioned German subscales have been shown in a sample consisting of individuals with eating disorder psychopathology and healthy controls: internal consistencies were α = 0.78 (overweight preoccupation), α = 0.90 (appearance evaluation), and α = 0.82 (appearance orientation), respectively [28]. In this study’s sample, internal consistencies were α = 0.44 (overweight preoccupation), α = 0.56 (appearance evaluation), and α = 0.83 (appearance orientation), respectively.

Impact of Weight on Quality of Life–Lite (IWQOL-Lite) Questionnaire.

The IWQOL-Lite [29,30] was used to assess quality of life in obesity. It contains five subscales (physical function, self-esteem, sexual life, public distress, work) with a total of 31 items rated on a 5-point Likert scale from 1 = never true to 5 = always true. Good validity and excellent reliability of the German IWQOL-Lite have been shown in previous research with internal consistencies of α = 0.97 (IWQOL-Lite total score) and α = 0.94 (IWQOL-Lite self-esteem), respectively [30]. In this study, we computed a total score as well as a sum score for the 7-item subscale self-esteem, with higher scores indicating poorer quality of life and self-esteem. Internal consistency in this study’s sample was α = .94 for the total score and α = .92 for the self-esteem subscale.

Patient Health Questionnaire–depression scale (PHQ-9).

The German PHQ-9 [31] was used to measure depression severity. Each of the nine items was rated on a 4-point Likert scale from 0 = not at all to 3 = nearly every day. A sum score was computed with higher scores indicating more severe depression. The PHQ-9 has shown good validity and reliability in primary care patients with an internal consistency of α = .89 [31]. Internal consistency in this study’s sample was α = .81.

7-item Generalized Anxiety Disorder Scale (GAD-7).

To assess participants’ symptom severity of generalized anxiety disorder, we administered the GAD-7 [32,33]. Each of the seven items was rated on a 4-point Likert scale ranging from 0 = not at all to 3 = nearly every day. A sum score was computed with higher scores indicating more severe symptoms. The German GAD-7 has shown good validity and reliability in the general population with an internal consistency of α = .89 [33]. In this study’s sample, internal consistency was α = .88.

Data Analytic Plan

Computing total or subscale scores, workgroup internal standard was used: missing values were replaced by participant’s mean of the scale and subscale, respectively, if there were less than 25% missing values per participant and per scale and subscale, respectively. Hence, no total or subscale scores were computed, if the proportion of missing values per participant and per scale and subscale, respectively, was 25% or higher. Regarding item analysis of the WSSQ, evaluation of skewness and kurtosis were based on the ratio of item’s skewness with item’s skewness standard error and item’s kurtosis with item’s kurtosis standard error. Values greater than ± 1.96 suggest significant differences from normality with regard to skewness and kurtosis, respectively [34]. For computing item difficulty, WSSQ items were first recoded to 0 to 4, then difficulty indices were estimated as p_m = (sum of recoded item scores * 100)/ (N * maximal item score) [35]. Pearson’s r was calculated for corrected item-total-correlations and due to non-normality, Spearman rank order correlations were used for correlation of the item with the corresponding and non-corresponding subscale. Cronbach’s α was computed for evaluation of internal consistency of WSSQ, its subscales, and the WBIS. Pearson correlation analyses of the WSSQ and its subscales with the WBIS and MBSRQ-AS subscales and, in case of non-normality, Spearman rank order correlation analyses were used to evaluate convergent validity.

Further, separate linear regression analyses were conducted to examine the predictive value of the WSSQ, its subscales, and the WBIS on psychosocial outcome measures of the IWQOL-Lite, IWQOL-Lite self-esteem, PHQ-9, and GAD-7. Interpretation of correlation coefficients (small: ≥ .10 and < .30; medium: ≥ .30 and < .50; large: ≥ .50) and explained variances R² (small: ≥ .02 and < .13; medium: ≥ .13 and < .26; large: ≥ .26) referred to Cohen [36]. A two-tailed α of .05 was applied for evaluation of correlation and regression coefficients. Significant differences in correlation coefficients and explained variances R² between WSSQ and WBIS as well as between the WSSQ subscales were examined by z tests for correlation coefficients with a one-tailed α of .05 using z-transformed correlation coefficients and R, respectively [37]. According to the conducted a-priori power analysis, N = 72 was necessary for detecting a large difference (effect size for correlation coefficients Cohen’s q = .50) between WSSQ and WBIS as well as between the WSSQ subscales with a power of .90. All analyses were conducted using the SPSS Statistical Software package version 20 (IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp).

Results

Participants

As summarized in Table 1, the sample consisted of N = 78 prebariatric surgery patients with a mean age of M = 41.71 years (SD = 10.44) and a mean BMI of M = 48.86 kg/m² (SD = 7.94). The sample showed moderate to high agreement with internalized weight stigma by reporting a mean WSSQ total score of M = 41.01 (SD = 7.42; range 21.00 to 56.73) and a mean WBIS score of M = 5.56 (SD = 1.02; range 2.00 to 7.00).

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Table 1. Sample characteristics (N = 78).

https://doi.org/10.1371/journal.pone.0165566.t001

Item Statistics of the WSSQ

The results with regard to the item statistics of the WSSQ are displayed in Table 2. In 17.95% of the sample at least one missing value was detected. Overall, the percentage of missing item responses was low with 2.67%, varying between 0% (items three and seven) and 10.26% (item one) of missing responses per item. Two items of the self-devaluation subscale (items one and five) yielded missing values > 5%. Distribution of all items deviated significantly from normality (ps < .05). While 10 of 12 items were negatively skewed (-0.93 ≤ skewness ≤ -0.14), only two items of each subscale (WSSQ self-devaluation: items two and three; WSSQ fear of enacted stigma: items seven and 11) differed significantly from normality with regard to skewness. Most items had a low kurtosis (-1.13 ≤ kurtosis ≤ +.26), however, only item one of the self-devaluation subscale differed significantly from normality with regard to kurtosis. The difficulty indices were of medium size (38 ≤ p_m ≤ 71), except for item 11 of the fear of enacted stigma subscale with high difficulty (p_m = 84). Corrected item-total-correlations were in the middle to upper range (.30 ≤ r_it ≤ .67) except for items one and two of the self-devaluation subscale with small corrected item-total-correlations (.15 ≤ r_it ≤ .25). Correlations between items and the corresponding subscale were in the medium to upper range (.47 ≤ r ≤ .75). All items were clearly assigned to the corresponding subscale as the correlations with the non-corresponding subscale were below r < .40 (-.03 ≤ r ≤ .36) except for item three of the self-devaluation subscale (r = .45) [38]. Altogether, both subscale scores were highly correlated with the total score (r = .82 to .83).

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Table 2. Item statistics of the WSSQ (N = 78).

https://doi.org/10.1371/journal.pone.0165566.t002

Internal Consistency of WSSQ and WBIS

Internal consistency in this study’s sample was acceptable for the total score of the WSSQ (α = .75) and its subscale fear of enacted stigma (α = .74), while the subscale self-devaluation yielded a questionable internal consistency (α = .63). Internal consistency of the WBIS was good (α = .84).

Convergent Validity of WSSQ and WBIS

The results of the correlation analyses are displayed in Table 3. The WSSQ total score was significantly correlated with the WBIS (large effect). The WSSQ was positively associated with MBSRQ overweight preoccupation and appearance orientation (small effects), but not with MBSRQ appearance evaluation and BMI. In contrast, WBIS was correlated with MBSRQ appearance evaluation (medium effect) and appearance orientation (small effect), but not with MBSRQ overweight preoccupation and BMI. Overall, correlation coefficients did not differ between WSSQ and WBIS for any of the associations with MBQSR subscales.

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Table 3. Correlations of the WSSQ and its subscales with validity measures and z test for differences in correlation coefficients.

https://doi.org/10.1371/journal.pone.0165566.t003

Regarding WSSQ subscales, WSSQ self-devaluation was positively correlated with the WBIS (medium effect), but not with the MBSRQ scales and BMI. In contrast, WSSQ fear of enacted stigma was significantly associated with the WBIS, MBSRQ appearance evaluation (large effects), and overweight preoccupation (small effect), but not with MBSRQ appearance orientation and BMI. Correlation coefficients between WSSQ self-devaluation and WSSQ fear of enacted stigma differed significantly with respect to the WBIS.

In addition, WSSQ self-devaluation (zs = 0.46 to 0.52, ps = .30 to .32) and WSSQ fear of enacted stigma (zs = 0.02 to 0.55, ps = .29 to .49) did not differ from WSSQ total score with respect to explained variance of MBSRQ subscales and BMI. Correlation of the WSSQ total score with the WBIS was significantly higher than the association between WSSQ self-devaluation and WBIS (z = 1.75, p = .04).

Prediction of Psychosocial Outcomes by WSSQ and WBIS

As summarized in Table 4, the WSSQ total score and the WBIS significantly predicted quality of life, self-esteem, depression, and anxiety with WSSQ predominantly yielding medium-size and WBIS predominantly yielding large-size effects. Specifically, the WBIS explained significantly more variance than the WSSQ total score for self-esteem. Regarding the WSSQ subscales displayed in Table 5, quality of life, self-esteem, and depression were significantly predicted by self-devaluation (small effects) and fear of enacted stigma (medium-to-large effects). Further, anxiety was significantly predicted by WSSQ fear of enacted stigma (small effect), but not by WSSQ self-devaluation. In particular, WSSQ fear of enacted stigma explained significantly more variance than WSSQ self-devaluation for quality of life and self-esteem.

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Table 4. Linear regression analyses on psychosocial outcomes by measure of internalized weight stigma.

https://doi.org/10.1371/journal.pone.0165566.t004

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Table 5. Linear regression analyses on psychosocial outcomes by subscale of the WSSQ.

https://doi.org/10.1371/journal.pone.0165566.t005

It is further noteworthy that the WSSQ self-devaluation (zs = 0.75 to 1.63, ps = .05 to .23) as well as the WSSQ fear of enacted stigma (zs = 0.14 to 0.76, ps = .22 to .44) did not differ from the WSSQ total score with respect to explained variance of quality of life, self-esteem, depression, and anxiety.

Discussion

The present study is the first to present item statistics of the German version of the WSSQ. Further, it is unique in providing and comparing reliability, convergent validity with and predictive values for psychosocial health outcomes for two self-report measures on internalized weight stigma, the WSSQ and the WBIS. Altogether, the results suggest the WSSQ and the WBIS to be reliable and valid assessments of internalized weight stigma in prebariatric surgery patients. Given the lack of studies comparing the WSSQ and the WBIS, the present study provides initial evidence for the comparability of both self-report questionnaires to assess internalized weight stigma in prebariatric surgery patients: both measures did not differ with respect to overall convergent validity with and predictive values for multiple psychosocial health outcomes, while findings indicate better internal consistency of the WBIS than that of the WSSQ.

Regarding item statistics of the WSSQ, overall, a low number of missing data was found, although two items of WSSQ self-devaluation yielded a relatively large amount of missing values (> 5%) which may bias statistical analyses of this subscale [39]. As expected [14], prebariatric surgery patients showed moderate to high agreement with internalized weight stigma on most items resulting in items’ significant deviation from normality with mostly flat distributions (low kurtosis) with a long tail to the left (negative skew). Predominantly, medium item difficulties and favorable positive corrected item-total correlations were detected indicating that items of the WSSQ are appropriate to differentiate between individuals with high versus low internalized weight stigma. Based on correlation coefficients with the corresponding and non-corresponding subscale, results might support the two-factor solution of the WSSQ, although one item of WSSQ self-devaluation could not be clearly assigned to the corresponding subscale. Altogether, findings provide evidence for predominantly favorable item statistics of the German version of the WSSQ.

Results further suggest the WSSQ and the WBIS to be reliable assessments of internalized weight stigma in prebariatric surgery patients, although the results indicate internal consistency of the WSSQ to be less than expected and slightly less than that of the WBIS. The present findings are in line with a recently published study which was not available at time of study conduct [16] and provided first evidence for good reliability of a German version of the WSSQ in individuals with at least obesity class II, although internal consistency for the WSSQ total score was slightly higher compared to internal consistency in the present study. Moreover, the original validation study of the WSSQ reported even larger internal consistency in individuals with overweight and obesity [1]. Relatedly, internal consistency of the 10-item version of WBIS in the present study was comparable to that of a previous study in prebariatric surgery patients [14], but slightly smaller compared to previous research in individuals with overweight and obesity [15]. Yet, it is difficult to compare findings between bariatric surgery samples and individuals with overweight and obesity in general as bariatric surgery candidates are a specific subsample of this population with respect to multiple health outcomes including internalized weight stigma [14,15,40]. Potentially, internalized weight stigma is a more homogeneous construct in non-bariatric samples compared to bariatric surgery samples.

Regarding convergent validity, hypotheses were confirmed as the WSSQ and the WBIS were positively associated with each other and significantly associated with negative body image. Adding to previous research that produced mixed findings [1,2,16], the WSSQ and the WBIS were not associated with BMI suggesting that public weight stigma was internalized irrespective of individuals’ relative weight. Both measures did not differ with respect to convergent validity with different body image aspects and BMI. As a specific analysis of convergent validity, the WSSQ and the WBIS cross-sectionally predicted poorer quality of life and self-esteem as well as greater depression and anxiety, which was conform to our hypotheses. Predictive values for these psychosocial health outcomes did not differ between WSSQ and WBIS except for self-esteem with the WBIS showing greater predictive power. Findings are in line with previous research providing evidence for good convergent validity of the WSSQ, for instance with psychological distress, quality of life, weight stigma, depression, eating behavior, body image, dissociative symptoms [1,16], and the WBIS [15].

Regarding the WSSQ subscales, reliability was less than expected especially for the WSSQ subscale self-devaluation. However, findings are in line with the original validation study providing first evidence for good convergent validity of both subscales [1]. Overall, results indicated superiority of the WSSQ subscale fear of enacted stigma compared to the subscale self-devaluation with respect to item statistics, reliability, convergent validity, and predictive values, which might be due to greater overlap with the WBIS as the results showed. Based on the fact that WSSQ subscales showed reduced reliability and absent incremental values with regard to convergent validity with and predictive values for psychosocial health outcomes compared to the WSSQ total score, research and clinical practice may rather administer the WSSQ total score than its subscales.

Our findings need to be interpreted while taking into account the strengths and limitations of this study. Strengths include the blinded back-translation of the WSSQ by a licensed translator. Further, the present study used other internationally well-established self-report questionnaires and other constructs for validation of the WSSQ that were often not assessed in previous studies, i.e., the WBIS as alternative assessment of internalized weight stigma, diverse body image aspects (MBSRQ-AS), anxiety (GAD-7), and depression (PHQ-9) [1,16]. In addition, social desirability of ratings was reduced– even if not eliminated –by informing patients that data collection would be unrelated to psychological evaluation prior to surgery and the information obtained would not be shared with the clinicians. However, face-validity of the translated WSSQ was evaluated only by a research team with extensive expertise in the field of obesity instead of a pre-test with individuals with overweight and obesity, which clearly presents a limitation of this study’s findings. Further, internal consistencies of MBSRQ overweight preoccupation and MBSRQ appearance evaluation applied for evaluation of convergent validity were poor to unacceptable. This might be due to the small number of items (four to seven) as well as to the special sample consisting of bariatric surgery candidates, in which body image was not suggested to be a homogeneous construct. Interpretation of our results is further limited due to the small sample size, which restricts findings’ generalizability on the prebariatric surgery population. It further limits clear interpretation of item statistics and prohibits factor analysis of the WSSQ because of too small communalities (h² < .60) [41]. Cross-sectional data prevent firm conclusions on predictive validity.

As a consequence, future studies need to compare WSSQ and WBIS in a larger bariatric surgery sample, which would also offer the opportunity for validation and to examine the postulated factor structure of the WSSQ. In this context, individuals undergoing bariatric surgery are of special interest as they report particularly high internalized weight stigma [14,15]. Further, they are a specific subsample of the population with obesity differing not only in weight status but also reporting less favorable values in several psychosocial aspects after adjusting for BMI, for example, in physical and social functioning [40]. Hence, differences between WSSQ and WBIS could be compared between a bariatric surgery and a large general population sample with overweight and obesity providing as well population norms for the WSSQ. In addition, longitudinal studies are needed in order to provide data about stability and predictive validity of both measures, for example, for weight-related and psychosocial outcomes.

In conclusion, our findings provide first evidence for reliable and valid assessment of internalized weight stigma in prebariatric surgery patients by the WSSQ and the WBIS. This is of importance for improving treatment outcomes in clinical practice, as individuals with high internalized weight stigma–in bariatric as well as conservative treatment settings–might be at high risk for greater psychosocial impairment and smaller weight loss [2,14,15,17–25]. Clinically, the WSSQ and the WBIS could be used as screening instruments for identifying those who would benefit from specialized interventions aiming at the reduction of internalized weight stigma, i.e, by psychoeducation, body image interventions, cognitive restructuring of negative body talk, and detaching self-evaluation from stereotypes [42]. However, as long as validation studies on the WSSQ providing population norms are still missing, clinical practice and research might give preference to the WBIS in bariatric surgery samples, because of the marginally better reliability, convergent validity, and greater predictive power.

Supporting Information

S1 Data. Supporting Data.

https://doi.org/10.1371/journal.pone.0165566.s001

(SAV)

Author Contributions

Conceptualization: MdZ AM AH CH.
Formal analysis: CH.
Funding acquisition: MdZ AM AH.
Investigation: MdZ JS AM.
Methodology: MdZ AM AH CH.
Project administration: MdZ AM AH.
Resources: MdZ AM CH AH.
Supervision: MdZ AM AH.
Validation: MdZ AM AH.
Visualization: CH.
Writing – original draft: CH RS JS HK AM MdZ AH.
Writing – review & editing: CH RS JS HK AM MdZ AH.

References

1. Lillis J, Luoma JB, Levin ME, Hayes SC. Measuring weight self-stigma: the Weight Self-Stigma Questionnaire. Obesity (Silver Spring). 2009; 18: 971–976. pmid:19834462
- View Article
- PubMed/NCBI
- Google Scholar
2. Durso LE, Latner JD. Understanding self-directed stigma: development of the Weight Bias Internalization Scale. Obesity (Silver Spring). 2008; 16: 80–86. pmid:18978768
- View Article
- PubMed/NCBI
- Google Scholar
3. Andreyeva T, Puhl RM, Brownell KD. Changes in perceived weight discrimination among Americans, 1995–1996 through 2004–2006. Obesity (Silver Spring). 2008; 16: 1129–1134. pmid:18356847
- View Article
- PubMed/NCBI
- Google Scholar
4. Latner JD, Stunkard AJ. Getting worse: the stigmatization of obese children. Obes Res. 2003; 11: 452–456. pmid:12634444
- View Article
- PubMed/NCBI
- Google Scholar
5. Major B, O'Brien LT. The social psychology of stigma. Annu Rev Psychol. 2005; 56: 393–421. pmid:15709941
- View Article
- PubMed/NCBI
- Google Scholar
6. Puhl RM, King KM. Weight discrimination and bullying. Best Pract Res Clin Endocrinol Metab. 2013; 27: 117–127. pmid:23731874
- View Article
- PubMed/NCBI
- Google Scholar
7. Puhl RM, Heuer CA. The stigma of obesity: a review and update. Obesity (Silver Spring). 2009; 17: 941–964. pmid:19165161
- View Article
- PubMed/NCBI
- Google Scholar
8. Durso LE, Latner JD, White MA, Masheb RM, Blomquist KK, Morgan PT, et al. Internalized weight bias in obese patients with binge eating disorder: associations with eating disturbances and psychological functioning. Int J Eat Disord. 2012; 45: 423–427. pmid:21717488
- View Article
- PubMed/NCBI
- Google Scholar
9. Hübner C, Baldofski S, Crosby RD, Müller A, de Zwaan M, Hilbert A. Weight-related teasing and non-normative eating behaviors as predictors of weight loss maintenance. A longitudinal mediation analysis. Appetite. 2016; 102: 25–31. pmid:26877218
- View Article
- PubMed/NCBI
- Google Scholar
10. Puhl RM, Brownell KD. Confronting and coping with weight stigma: an investigation of overweight and obese adults. Obesity (Silver Spring). 2006; 14: 1802–1815. pmid:17062811
- View Article
- PubMed/NCBI
- Google Scholar
11. Fardouly J, Vartanian LR. Changes in weight bias following weight loss: the impact of weight-loss method. Int J Obes Relat Metab Disord. 2011; 36: 314–319. pmid:21364528
- View Article
- PubMed/NCBI
- Google Scholar
12. Vartanian LR, Fardouly J. The stigma of obesity surgery. Negative evaluations based on weight loss history. Obes Surg. 2013; 23: 1545–1550. pmid:23519633
- View Article
- PubMed/NCBI
- Google Scholar
13. Vartanian LR, Fardouly J. Reducing the stigma of bariatric surgery. Benefits of providing information about necessary lifestyle changes. Obesity (Silver Spring). 2014; 22: 1233–1237. pmid:24616420
- View Article
- PubMed/NCBI
- Google Scholar
14. Hübner C, Baldofski S, Zenger M, Tigges W, Herbig B, Jurowich C, et al. Influences of general self-efficacy and weight bias internalization on physical activity in bariatric surgery candidates. Surg Obes Relat Dis. 2015; 11: 1371–1376. pmid:25868826
- View Article
- PubMed/NCBI
- Google Scholar
15. Hilbert A, Baldofski S, Zenger M, Löwe B, Kersting A, Braehler E. Weight Bias Internalization Scale: Psychometric properties and population norms. PLoS ONE. 2014; 9: e86303. pmid:24489713
- View Article
- PubMed/NCBI
- Google Scholar
16. Hain B, Langer L, Hünnemeyer K, Rudofsky G, Zech U, Wild B. Translation and validation of the German version of the Weight Self-Stigma Questionnaire (WSSQ). Obes Surg. 2015; 25: 750–753. pmid:25663147
- View Article
- PubMed/NCBI
- Google Scholar
17. Latner JD, Durso LE, Mond JM. Health and health-related quality of life among treatment-seeking overweight and obese adults: associations with internalized weight bias. J Eat Disord. 2013; 1: 1–6. pmid:24764526
- View Article
- PubMed/NCBI
- Google Scholar
18. Latner JD, Barile JP, Durso LE, O'Brien KS. Weight and health-related quality of life. The moderating role of weight discrimination and internalized weight bias. Eat Behav. 2014; 15: 586–590. pmid:25215477
- View Article
- PubMed/NCBI
- Google Scholar
19. Baldofski S, Rudolph A, Tigges W, Herbig B, Jurowich C, Kaiser S, et al. Weight bias internalization, emotion dysregulation, and non-normative eating behaviors in prebariatric patients. Int J Eat Disord. 2016; 49: 182–187. pmid:26593154
- View Article
- PubMed/NCBI
- Google Scholar
20. Roberto CA, Sysko R, Bush J, Pearl R, Puhl RM, Schvey NA, et al. Clinical correlates of the Weight Bias Internalization Scale in a sample of obese adolescents seeking bariatric surgery. Obesity (Silver Spring). 2012; 20: 533–539. pmid:21593805
- View Article
- PubMed/NCBI
- Google Scholar
21. Pearl RL, White MA, Grilo CM. Weight bias internalization, depression, and self-reported health among overweight binge eating disorder patients. Obesity (Silver Spring). 2014; 22: E142–8. pmid:24039219
- View Article
- PubMed/NCBI
- Google Scholar
22. Pearl RL, Puhl RM, Dovidio JF. Differential effects of weight bias experiences and internalization on exercise among women with overweight and obesity. J Health Psychol. 2015; 20: 1626–1632. pmid:24505060
- View Article
- PubMed/NCBI
- Google Scholar
23. Lillis J, Levin ME, Hayes SC. Exploring the relationship between body mass index and health-related quality of life: a pilot study of the impact of weight self-stigma and experiential avoidance. J Health Psychol. 2011; 16: 722–727. pmid:21441358
- View Article
- PubMed/NCBI
- Google Scholar
24. Lent MR, Napolitano MA, Wood GC, Argyropoulos G, Gerhard GS, Hayes S, et al. Internalized weight bias in weight-loss surgery patients. Psychosocial correlates and weight loss outcomes. Obes Surg. 2014; 24: 2195–2199. pmid:25337868
- View Article
- PubMed/NCBI
- Google Scholar
25. Durso LE. The relationship of internalized weight bias to weight change in treatment-seeking overweight adults. Diss Abstr Int: Section B: The Sciences and Engineering. 2013; 73(7-B)(E). ISBN: 978-1-267-24544-1.
- View Article
- Google Scholar
26. de Zwaan M, Georgiadou E, Stroh CE, Teufel M, Köhler H, Tengler M, et al. Body image and quality of life in patients with and without body contouring surgery following bariatric surgery: a comparison of pre- and post-surgery groups. Front Psychol. 2014; 5: 1310. pmid:25477839
- View Article
- PubMed/NCBI
- Google Scholar
27. Cash TF. MBSRQ users' manual. 3rd ed.; 2000. Available: http://www.body-images.com/assessments/mbsrq.html
28. Vossbeck-Elsebusch AN, Waldorf M, Legenbauer T, Bauer A, Cordes M, Vocks S. German version of the Multidimensional Body-Self Relations Questionnaire–Appearance Scales (MBSRQ-AS). Confirmatory factor analysis and validation. Body Image. 2014; 11: 191–200. pmid:24958652
- View Article
- PubMed/NCBI
- Google Scholar
29. Kolotkin RL, Crosby RD, Kosloski KD, Williams GR. Development of a brief measure to assess quality of life in obesity. Obes Res. 2001; 9: 102–111. pmid:11316344
- View Article
- PubMed/NCBI
- Google Scholar
30. Müller A, Holzapfel C, Hauner H, Crosby RD, Engel SG, Mühlhans B, et al. Psychometric evaluation of the German version of the Impact of Weight on Quality of Life-Lite (IWQOL-Lite) Questionnaire. Exp Clin Endocrinol Diabetes. 2011; 119: 69–74. pmid:20658439
- View Article
- PubMed/NCBI
- Google Scholar
31. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001; 16: 606–613. pmid:11556941
- View Article
- PubMed/NCBI
- Google Scholar
32. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006; 166: 1092–1097. pmid:16717171
- View Article
- PubMed/NCBI
- Google Scholar
33. Löwe B, Decker O, Müller S, Brähler E, Schellberg D, Herzog W, et al. Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population. Medical Care. 2008; 46: 266–274. pmid:18388841
- View Article
- PubMed/NCBI
- Google Scholar
34. Miles J, Shevlin M. Applying regression and correlation–a guide for students and researchers. London: SAGE Publications; 2001.
35. Kelava A, Moosbrugger H. Deskriptivstatistische Evaluation von Items (Itemanalyse) und Testwertverteilungen [Descriptive statistical evaluation of items (item analysis) and distribution of test values]. In: Kelava A, Moosbrugger H, editors. Testtheorie und Fragebogenkonstruktion [Test theory and questionnaire construction]. 2nd ed. Berlin Heidelberg: Springer; 2012. pp. 76–102.
36. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale NJ: Erlbaum; 1988.
37. Howell DC. Statistical methods for psychology. Boston: Cengage Learning Emea; 2011.
38. Lounsbury JW, Gibson LW, Saudardas RA. Scale Development. In: Leong FTL, Austin JT, editors. The psychology research handbook: a guide for graduate students and research assistants. 2nd ed. Thousand Oaks: Sage Publications; 2006. pp. 125–146.
39. Schafer JL. Multiple imputation: a primer. Stat Methods in Med. 1999; 8: 3–15.
- View Article
- Google Scholar
40. van Nunen AMA, Wouters EJM, Vingerhoets AJJM, Hox JJ, Geenen R. The health-related quality of life of obese persons seeking or not seeking surgical or non-surgical treatment: A meta-analysis. Obes Surg. 2007; 17: 1357–1366. pmid:18098401
- View Article
- PubMed/NCBI
- Google Scholar
41. Bühner M. Einführung in die Test- und Fragebogenkonstruktion [Introduction in test and questionnaire construction]. München: Pearson; 2006.
42. Hilbert A, Tuschen-Caffier B. Essanfälle und Adipositas. Ein Manual zur kognitiv-behavioralen Therapie der Binge-Eating-Störung [Binge-eating and obesity: Cognitive-behavioral therapy for binge-eating disorder]. Göttingen: Hogrefe; 2010.

[ref1] 1. Lillis J, Luoma JB, Levin ME, Hayes SC. Measuring weight self-stigma: the Weight Self-Stigma Questionnaire. Obesity (Silver Spring). 2009; 18: 971–976. pmid:19834462
View Article
PubMed/NCBI
Google Scholar

[2] View Article

[3] PubMed/NCBI

[4] Google Scholar

[ref2] 2. Durso LE, Latner JD. Understanding self-directed stigma: development of the Weight Bias Internalization Scale. Obesity (Silver Spring). 2008; 16: 80–86. pmid:18978768
View Article
PubMed/NCBI
Google Scholar

[6] View Article

[7] PubMed/NCBI

[8] Google Scholar

[ref3] 3. Andreyeva T, Puhl RM, Brownell KD. Changes in perceived weight discrimination among Americans, 1995–1996 through 2004–2006. Obesity (Silver Spring). 2008; 16: 1129–1134. pmid:18356847
View Article
PubMed/NCBI
Google Scholar

[10] View Article

[11] PubMed/NCBI

[12] Google Scholar

[ref4] 4. Latner JD, Stunkard AJ. Getting worse: the stigmatization of obese children. Obes Res. 2003; 11: 452–456. pmid:12634444
View Article
PubMed/NCBI
Google Scholar

[14] View Article

[15] PubMed/NCBI

[16] Google Scholar

[ref5] 5. Major B, O'Brien LT. The social psychology of stigma. Annu Rev Psychol. 2005; 56: 393–421. pmid:15709941
View Article
PubMed/NCBI
Google Scholar

[18] View Article

[19] PubMed/NCBI

[20] Google Scholar

[ref6] 6. Puhl RM, King KM. Weight discrimination and bullying. Best Pract Res Clin Endocrinol Metab. 2013; 27: 117–127. pmid:23731874
View Article
PubMed/NCBI
Google Scholar

[22] View Article

[23] PubMed/NCBI

[24] Google Scholar

[ref7] 7. Puhl RM, Heuer CA. The stigma of obesity: a review and update. Obesity (Silver Spring). 2009; 17: 941–964. pmid:19165161
View Article
PubMed/NCBI
Google Scholar

[26] View Article

[27] PubMed/NCBI

[28] Google Scholar

[ref8] 8. Durso LE, Latner JD, White MA, Masheb RM, Blomquist KK, Morgan PT, et al. Internalized weight bias in obese patients with binge eating disorder: associations with eating disturbances and psychological functioning. Int J Eat Disord. 2012; 45: 423–427. pmid:21717488
View Article
PubMed/NCBI
Google Scholar

[30] View Article

[31] PubMed/NCBI

[32] Google Scholar

[ref9] 9. Hübner C, Baldofski S, Crosby RD, Müller A, de Zwaan M, Hilbert A. Weight-related teasing and non-normative eating behaviors as predictors of weight loss maintenance. A longitudinal mediation analysis. Appetite. 2016; 102: 25–31. pmid:26877218
View Article
PubMed/NCBI
Google Scholar

[34] View Article

[35] PubMed/NCBI

[36] Google Scholar

[ref10] 10. Puhl RM, Brownell KD. Confronting and coping with weight stigma: an investigation of overweight and obese adults. Obesity (Silver Spring). 2006; 14: 1802–1815. pmid:17062811
View Article
PubMed/NCBI
Google Scholar

[38] View Article

[39] PubMed/NCBI

[40] Google Scholar

[ref11] 11. Fardouly J, Vartanian LR. Changes in weight bias following weight loss: the impact of weight-loss method. Int J Obes Relat Metab Disord. 2011; 36: 314–319. pmid:21364528
View Article
PubMed/NCBI
Google Scholar

[42] View Article

[43] PubMed/NCBI

[44] Google Scholar

[ref12] 12. Vartanian LR, Fardouly J. The stigma of obesity surgery. Negative evaluations based on weight loss history. Obes Surg. 2013; 23: 1545–1550. pmid:23519633
View Article
PubMed/NCBI
Google Scholar

[46] View Article

[47] PubMed/NCBI

[48] Google Scholar

[ref13] 13. Vartanian LR, Fardouly J. Reducing the stigma of bariatric surgery. Benefits of providing information about necessary lifestyle changes. Obesity (Silver Spring). 2014; 22: 1233–1237. pmid:24616420
View Article
PubMed/NCBI
Google Scholar

[50] View Article

[51] PubMed/NCBI

[52] Google Scholar

[ref14] 14. Hübner C, Baldofski S, Zenger M, Tigges W, Herbig B, Jurowich C, et al. Influences of general self-efficacy and weight bias internalization on physical activity in bariatric surgery candidates. Surg Obes Relat Dis. 2015; 11: 1371–1376. pmid:25868826
View Article
PubMed/NCBI
Google Scholar

[54] View Article

[55] PubMed/NCBI

[56] Google Scholar

[ref15] 15. Hilbert A, Baldofski S, Zenger M, Löwe B, Kersting A, Braehler E. Weight Bias Internalization Scale: Psychometric properties and population norms. PLoS ONE. 2014; 9: e86303. pmid:24489713
View Article
PubMed/NCBI
Google Scholar

[58] View Article

[59] PubMed/NCBI

[60] Google Scholar

[ref16] 16. Hain B, Langer L, Hünnemeyer K, Rudofsky G, Zech U, Wild B. Translation and validation of the German version of the Weight Self-Stigma Questionnaire (WSSQ). Obes Surg. 2015; 25: 750–753. pmid:25663147
View Article
PubMed/NCBI
Google Scholar

[62] View Article

[63] PubMed/NCBI

[64] Google Scholar

[ref17] 17. Latner JD, Durso LE, Mond JM. Health and health-related quality of life among treatment-seeking overweight and obese adults: associations with internalized weight bias. J Eat Disord. 2013; 1: 1–6. pmid:24764526
View Article
PubMed/NCBI
Google Scholar

[66] View Article

[67] PubMed/NCBI

[68] Google Scholar

[ref18] 18. Latner JD, Barile JP, Durso LE, O'Brien KS. Weight and health-related quality of life. The moderating role of weight discrimination and internalized weight bias. Eat Behav. 2014; 15: 586–590. pmid:25215477
View Article
PubMed/NCBI
Google Scholar

[70] View Article

[71] PubMed/NCBI

[72] Google Scholar

[ref19] 19. Baldofski S, Rudolph A, Tigges W, Herbig B, Jurowich C, Kaiser S, et al. Weight bias internalization, emotion dysregulation, and non-normative eating behaviors in prebariatric patients. Int J Eat Disord. 2016; 49: 182–187. pmid:26593154
View Article
PubMed/NCBI
Google Scholar

[74] View Article

[75] PubMed/NCBI

[76] Google Scholar

[ref20] 20. Roberto CA, Sysko R, Bush J, Pearl R, Puhl RM, Schvey NA, et al. Clinical correlates of the Weight Bias Internalization Scale in a sample of obese adolescents seeking bariatric surgery. Obesity (Silver Spring). 2012; 20: 533–539. pmid:21593805
View Article
PubMed/NCBI
Google Scholar

[78] View Article

[79] PubMed/NCBI

[80] Google Scholar

[ref21] 21. Pearl RL, White MA, Grilo CM. Weight bias internalization, depression, and self-reported health among overweight binge eating disorder patients. Obesity (Silver Spring). 2014; 22: E142–8. pmid:24039219
View Article
PubMed/NCBI
Google Scholar

[82] View Article

[83] PubMed/NCBI

[84] Google Scholar

[ref22] 22. Pearl RL, Puhl RM, Dovidio JF. Differential effects of weight bias experiences and internalization on exercise among women with overweight and obesity. J Health Psychol. 2015; 20: 1626–1632. pmid:24505060
View Article
PubMed/NCBI
Google Scholar

[86] View Article

[87] PubMed/NCBI

[88] Google Scholar

[ref23] 23. Lillis J, Levin ME, Hayes SC. Exploring the relationship between body mass index and health-related quality of life: a pilot study of the impact of weight self-stigma and experiential avoidance. J Health Psychol. 2011; 16: 722–727. pmid:21441358
View Article
PubMed/NCBI
Google Scholar

[90] View Article

[91] PubMed/NCBI

[92] Google Scholar

[ref24] 24. Lent MR, Napolitano MA, Wood GC, Argyropoulos G, Gerhard GS, Hayes S, et al. Internalized weight bias in weight-loss surgery patients. Psychosocial correlates and weight loss outcomes. Obes Surg. 2014; 24: 2195–2199. pmid:25337868
View Article
PubMed/NCBI
Google Scholar

[94] View Article

[95] PubMed/NCBI

[96] Google Scholar

[ref25] 25. Durso LE. The relationship of internalized weight bias to weight change in treatment-seeking overweight adults. Diss Abstr Int: Section B: The Sciences and Engineering. 2013; 73(7-B)(E). ISBN: 978-1-267-24544-1.
View Article
Google Scholar

[98] View Article

[99] Google Scholar

[ref26] 26. de Zwaan M, Georgiadou E, Stroh CE, Teufel M, Köhler H, Tengler M, et al. Body image and quality of life in patients with and without body contouring surgery following bariatric surgery: a comparison of pre- and post-surgery groups. Front Psychol. 2014; 5: 1310. pmid:25477839
View Article
PubMed/NCBI
Google Scholar

[101] View Article

[102] PubMed/NCBI

[103] Google Scholar

[ref27] 27. Cash TF. MBSRQ users' manual. 3rd ed.; 2000. Available: http://www.body-images.com/assessments/mbsrq.html

[ref28] 28. Vossbeck-Elsebusch AN, Waldorf M, Legenbauer T, Bauer A, Cordes M, Vocks S. German version of the Multidimensional Body-Self Relations Questionnaire–Appearance Scales (MBSRQ-AS). Confirmatory factor analysis and validation. Body Image. 2014; 11: 191–200. pmid:24958652
View Article
PubMed/NCBI
Google Scholar

[106] View Article

[107] PubMed/NCBI

[108] Google Scholar

[ref29] 29. Kolotkin RL, Crosby RD, Kosloski KD, Williams GR. Development of a brief measure to assess quality of life in obesity. Obes Res. 2001; 9: 102–111. pmid:11316344
View Article
PubMed/NCBI
Google Scholar

[110] View Article

[111] PubMed/NCBI

[112] Google Scholar

[ref30] 30. Müller A, Holzapfel C, Hauner H, Crosby RD, Engel SG, Mühlhans B, et al. Psychometric evaluation of the German version of the Impact of Weight on Quality of Life-Lite (IWQOL-Lite) Questionnaire. Exp Clin Endocrinol Diabetes. 2011; 119: 69–74. pmid:20658439
View Article
PubMed/NCBI
Google Scholar

[114] View Article

[115] PubMed/NCBI

[116] Google Scholar

[ref31] 31. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001; 16: 606–613. pmid:11556941
View Article
PubMed/NCBI
Google Scholar

[118] View Article

[119] PubMed/NCBI

[120] Google Scholar

[ref32] 32. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006; 166: 1092–1097. pmid:16717171
View Article
PubMed/NCBI
Google Scholar

[122] View Article

[123] PubMed/NCBI

[124] Google Scholar

[ref33] 33. Löwe B, Decker O, Müller S, Brähler E, Schellberg D, Herzog W, et al. Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population. Medical Care. 2008; 46: 266–274. pmid:18388841
View Article
PubMed/NCBI
Google Scholar

[126] View Article

[127] PubMed/NCBI

[128] Google Scholar

[ref34] 34. Miles J, Shevlin M. Applying regression and correlation–a guide for students and researchers. London: SAGE Publications; 2001.

[ref35] 35. Kelava A, Moosbrugger H. Deskriptivstatistische Evaluation von Items (Itemanalyse) und Testwertverteilungen [Descriptive statistical evaluation of items (item analysis) and distribution of test values]. In: Kelava A, Moosbrugger H, editors. Testtheorie und Fragebogenkonstruktion [Test theory and questionnaire construction]. 2nd ed. Berlin Heidelberg: Springer; 2012. pp. 76–102.

[ref36] 36. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale NJ: Erlbaum; 1988.

[ref37] 37. Howell DC. Statistical methods for psychology. Boston: Cengage Learning Emea; 2011.

[ref38] 38. Lounsbury JW, Gibson LW, Saudardas RA. Scale Development. In: Leong FTL, Austin JT, editors. The psychology research handbook: a guide for graduate students and research assistants. 2nd ed. Thousand Oaks: Sage Publications; 2006. pp. 125–146.

[ref39] 39. Schafer JL. Multiple imputation: a primer. Stat Methods in Med. 1999; 8: 3–15.
View Article
Google Scholar

[135] View Article

[136] Google Scholar

[ref40] 40. van Nunen AMA, Wouters EJM, Vingerhoets AJJM, Hox JJ, Geenen R. The health-related quality of life of obese persons seeking or not seeking surgical or non-surgical treatment: A meta-analysis. Obes Surg. 2007; 17: 1357–1366. pmid:18098401
View Article
PubMed/NCBI
Google Scholar

[138] View Article

[139] PubMed/NCBI

[140] Google Scholar

[ref41] 41. Bühner M. Einführung in die Test- und Fragebogenkonstruktion [Introduction in test and questionnaire construction]. München: Pearson; 2006.

[ref42] 42. Hilbert A, Tuschen-Caffier B. Essanfälle und Adipositas. Ein Manual zur kognitiv-behavioralen Therapie der Binge-Eating-Störung [Binge-eating and obesity: Cognitive-behavioral therapy for binge-eating disorder]. Göttingen: Hogrefe; 2010.

Figures

Abstract

Background

Methods

Results

Conclusions

Introduction

Materials and Methods

Study Design and Participants

Questionnaire Translation

Measures

Weight Self-Stigma Questionnaire (WSSQ).

Weight Bias Internalization Scale (WBIS).

Multidimensional Body-Self Relations Questionnaire–Appearance Scales (MBSRQ-AS).

Impact of Weight on Quality of Life–Lite (IWQOL-Lite) Questionnaire.

Patient Health Questionnaire–depression scale (PHQ-9).

7-item Generalized Anxiety Disorder Scale (GAD-7).

Data Analytic Plan

Results

Participants

Item Statistics of the WSSQ

Internal Consistency of WSSQ and WBIS

Convergent Validity of WSSQ and WBIS

Prediction of Psychosocial Outcomes by WSSQ and WBIS

Discussion

Supporting Information

S1 Data. Supporting Data.

Author Contributions

References