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Psychometric properties of the Arabic versions of the Three-Item Short Form of the modified Weight Bias Internalization Scale (WBIS-3) and the Muscularity Bias Internalization Scale (MBIS)

Abstract

Background

There is a lack of psychometrically sound measures to assess internalized weight and muscularity biases among Arabic-speaking people. To fill this gap, we sought to investigate the psychometric properties of Arabic translations of the Three-Item Short Form of the Modified Weight Bias Internalization Scale (WBIS-3) and the Muscularity Bias Internalization Scale (MBIS) in a sample of community adults.

Methods

A total of 402 Lebanese citizens and residents enrolled in this cross-sectional study (mean age: 24.46 years (SD = 6.60); 55.2% females). Exploratory Factor Analysis (EFA) was conducted using the principal-axis factoring and oblimin rotation to estimate parameters and the parallel analysis to determine the number of factors. CFA was conducted using the weighted least square mean and variance adjusted estimator which was recommended for ordinal CFA.

Results

An Exploratory Factor Analysis of the WBIS-3 resulted in a robust single-factor solution for the three items. An examination of the factorial structure of the MBIS revealed a two-factor structure, which showed adequate model fit. We obtained excellent internal consistency as indicated by McDonald’s ω coefficients of .87 for the WBIS-3 total score and ranging between .92 and .95 for the MBIS two factor scores. Cross-sex invariance of the MBIS was confirmed at the configural, metric, and scalar levels. Convergent validity was supported by significant correlations between the WBIS-3 and MBIS. Divergent and concurrent validity were approved by showing small to medium correlations between MBIS/WBIS-3 scores and muscle dysmorphia, disordered eating symptoms, and body image concerns.

Conclusion

Findings suggest that the Arabic versions of the WBIS-3 and MBIS are suitable for use in Arabic-speaking adults.

Plain English Summary

Individuals with overweight or obesity frequently experience weight-based stigmatization. The widespread belief that weight is a matter of personal will and self-control results in various weight-based stereotypes (e.g., laziness, lack of self-discipline, or neglect). Furthermore, the influence model of body image identifies internalization of societal body ideals as a risk factor for developing body dissatisfaction, and subsequent disordered eating behavior. Hence, internalization of two dimensions of body image ideals, thinness and muscularity, is associated with body dissatisfaction and eating concerns. Weight Bias Internalization Scale (WBIS-3) is a shortened version of the modified version of the Weight Bias Internalization Scale (WBIS-M) designed to evaluate the weight bias internalization. As for the Muscularity Bias Internalization Scale (MBIS), it assesses the extent to which an individual endorses muscularity-based stereotypes and engages in negative self-evaluations due to muscularity. These two scales are not yet validated in Arabic. To that end, we aimed to translate and validate the Arabic version of the WBIS-3 and MBIS in the present study, which would in turn facilitate improved research and clinical practices related to weight and muscularity biases internalization in Arabic-speaking nations. The present findings provide support for the psychometric properties of the Arabic version of the WBI-3 and MBIS in examining weight and muscularity biases internalization in Arabic-speaking adults in Lebanon.

Introduction

Weight stigma, also referred to as weight bias, is a prominent health concern globally [1]. It can be defined as social denigration and devaluation of an individual due to their body weight, often leading to negative anti-fat attitudes and stereotypes [2]. Weight bias internalization (WBI) differs from weight stigma, as in WBI, the attribution is made towards the “self”, not towards the “other” [3]. In other words, the person internalizes society’s negative weight stereotypes, apply them to him/herself; and, therefore, devalues themselves/their self-worth because of their weight [3,4,5]. WBI is also a distinct construct from body image [6], but individuals who internalize weight bias may see themselves as unattractive or feel guilty due to their weight [7]. Even though WBI was initially thought to only affect specific groups with overweight/obesity, recent research has shown that individuals can experience WBI regardless of their weight status [8,9,10]. In addition to experiencing WBI, individuals may also internalize muscularity-based stereotypes and subsequent self-devaluation because of one’s muscularity, which is referred to as muscularity bias internalization (MBI) [11]. MBI is different from drive for muscularity, as the latter involves attitudes and behaviors reflecting one’s desire to have a muscular body [12], whereas MBI occurs when the person engages in negative self-evaluations and internalizes negative muscle-based beliefs because of their muscle mass [11]. Therefore, MBI has been proposed as “a precursor of drive for muscularity” [11], with individuals exhibiting higher MBI being expected to also have higher drive for muscularity.

Both WBI and MBI are relatively new concepts in weight and muscle discrimination research areas; and they are gaining growing attention from clinicians and researchers in recent years because of their clinical relevance and potential implications for public health. Indeed, WBI has been consistently associated with decreased physical activity [13], body image issues [3, 7], and disordered eating behaviors [14], which may, in turn, perpetuate obesity and hinder weight-loss maintenance [15, 16]. WBI has also been found to be linked to poor physical health [17, 18], as well as negative psychological consequences, including anxiety, stress, depression, negative affect, maladaptive coping responses, and low self-esteem [3, 5, 7, 14, 19, 20]. Similarly, MBI was demonstrated to correlate with a range of negative mental health outcomes, such as psychosocial impairment, more body dissatisfaction, less body appreciation, thinness-oriented disordered eating symptoms, and muscle dysmorphic disorder symptoms [11]. In addition, MBI was found to significantly correlate with muscularity-oriented disordered eating symptoms, above and beyond the effects of drive for muscularity [11]. Overall, both WBI and MBI seem to be pervasive and substantially detrimental for health. Given the existence of some evidence supporting the effectiveness of interventions for WBI (e.g., [21]) and MBI (e.g., a study targeted irrational beliefs about muscularity [22]) in reducing weight- and muscularity-oriented body image concerns and disordered eating, these constructs should be routinely assessed and addressed.

One of the most frequently used measures of WBI is the 11-item Weight Bias Internalization Scale (WBIS) [3]. The scale was initially designed with the purpose of measuring WBI in individuals with overweight or obesity. However, given the consistent evidence that individuals with normal-weight (those with adequate body mass index (18.5–24.9 kg/m2) also experience WBI [23], a modified version of the WBIS (The WBIS-M; [24]) was developed to adapt the scale for use across various body weight statuses. The WBIS-M has been translated and adapted to various cultures and languages over the recent years, including Spanish [25], Greek [26], Chinese [27], and Turkish [28]. More recently, a shortened 3-item version of the WBIS-M (i.e., WBIS-3) has been validated in the German general population [29]. The WBIS-3 was found equivalent to the full version with a correlation of r = 0.94 [29]. In addition to its demonstrated excellent psychometric properties (including good internal consistency, appropriate construct validity, and strong measurement invariance) [29], the WBIS-3 offers potential advantages in terms of easiness/rapidity of administration, low cost, and less burden to respondents. On the other hand, specific measures focusing on MBI were until recently nonexistent; with only one instrument available to assess the construct of muscular-ideal internalization (i.e. the Sociocultural Attitudes Towards Appearance Questionnaire‐4–Revised [SATAQ‐4R]; [30]). In 2022, He et al. developed a new measure of MBI, the Muscularity Bias Internalization Scale (MBIS; [11]); which is composed 14 items and three-factors. The MBIS showed adequate psychometric qualities in Chinese adult men in terms of internal consistency (categorical ω values ranging from 0.76 to 0.99 for the total score and all three sub-scores), construct validity and test–retest reliability. To the best of our knowledge, no measures are available in the Arabic language to assess the WBI and MBI constructs in Arabic-speaking populations. As such, no epidemiological prevalence data regarding WBI and MBI are available to date for Arab countries and the broader Arabic-speaking communities.

Prevalence rates of obesity and its related diseases have been steadily rising over the past decades and have become a major public health problem worldwide [1], with Arab countries being of no exception [31]. With regard to Arab countries, the situation is even more critical due to the close relationship between food and people’s identity/culture/traditions, sociocultural-related barriers to physical activity practice, as well as a widespread concerning lack of public awareness [31, 32]. Additionally, due to globalization, Arab people are increasingly adopting Western cultural and social beliefs and practices [33]; with a substantial rise in the internalization of thin and muscularity ideals [34]. For instance, there is some evidence that body dissatisfaction is among the strongest correlate of eating disorder pathology and an array of other negative psychological indicators in Arab populations (e.g., Saudi students [35]; Lebanese adults [36, 37] and adolescents [38]; Jordanian adolescent schoolgirls [39]; Emirati adolescents [40]; Bahraini adolescents [41]). A study by O’Hara et al. [42] showed that 44% of female Emirati undergraduate students reported being frequently teased about their weight; and that internalized weight stigma was the most powerful predictor of eating disorder symptomatology. In light of their findings, authors suggested that these issues should be considered as priorities for action by public health authorities [42]. Despite these facts, most of the limited existing research on eating disorders symptomatology, body image disturbances and related problems emerging from the Arab world has traditionally focused on females [43], and has long suffered from a lack of validated instruments [34]. The few scales available are thinness-oriented (e.g., [44,45,46]); and it is only recently that a muscularity-oriented scale has been validated (i.e., [47]). No scales on weight- or muscularity-related stigmatizing beliefs exist to our knowledge. The vast majority of data on this topic originated from the United States [48], and other Western countries [49,50,51]. Global studies with cross-cultural comparisons remain scarce [52,53,54], in spite of being identified as a key future research direction [14]. This highlights the strong need for making measures assessing WBI and MBI available for Arabic-speaking people in all parts of the world. To this end, we sought through the present paper to investigate the psychometric properties of Arabic translations of the WBIS-3 and the MBIS in a sample of Arabic-speaking community adults from Lebanon. We hypothesized that both scales would show excellent psychometric properties in their Arabic versions. In particular, we expect that the originally proposed single-factor structure of the WBIS-3 and three-factor structure of the MBIS would be confirmed in our sample. In addition, we expect that MBIS scores would be invariant across sex groups. We also expect that the two scales would show good composite internal consistency (McDonald’s ω values greater than 0.70 for WBIS-3/MBIS total scores and MBIS sub-scores), and that good convergent, divergent and concurrent validity will be evidenced through adequate patterns of correlations of both WBI and MBI with body appreciation, disordered eating and muscle dysmorphic symptoms.

Methods

Procedures

In this cross-sectional study that involved a convenience community sample, all data were collected via a Google Form link, between December 2022 and January 2023. The project was advertised on social media and included an estimated duration. Inclusion criteria for participation included being of a resident and citizen of Lebanon of adult age. Internet protocol (IP) addresses were examined to ensure that no participant took the survey more than once. After providing digital informed consent, participants were asked to complete the instruments described above, which were presented in a pre-randomized order to control for order effects. The survey was anonymous and participants completed the survey voluntarily and without remuneration.

Measures

Muscle Bias Internalization Scale (MBIS)

This scale is composed of 14 items scored on a 7-point Likert Scale (“1 = Strongly disagree to ‘7 = Strongly agree”). Higher scores indicate higher levels of muscularity bias internalization [11]. Personal Value attached to Muscularity (PVM), Perceived Impact of Muscularity (PIM), and Definition and Appearance of Muscularity (DAM). The MBIS showed a three-factor structure (Personal Value attached to Muscularity, Perceived Impact of Muscularity, and Definition and Appearance of Muscularity) and good reliability and validity in Chinese adult men, with a 0.90 Cronbach’s alpha [11].

Weight Bias Internalization Scale (WBIS-3)

This scale is a shortened version of the modified version of the Weight Bias Internalization Scale (WBIS-M) [24], exhibiting excellent psychometric properties with an internal consistency of α = 0.92 [29]. The WBIS-3 is composed of the following three items: “I hate myself for my weight”, “Whenever I think a lot about my weight, I feel depressed”, and “I feel anxious about my weight because of what people might think of me”. Each item is scored on a 7-point Likert Scale ranging from 1 (Strongly disagree) to 7 (Strongly agree). Higher scores indicate higher levels of weight-related self-stigma.

Body Appreciation Scale-2 (BAS-2)

Validated in Arabic [55], this 10-item instrument assesses acceptance of one’s body, respect and care for one’s body, and protection of one’s body from unrealistic beauty standards. Previous research found a unidimensional factor structure, along with strong internal consistency (Cronbach’s α = 0.97), construct validity and test–retest reliability (r = 0.90) in community and college samples of men and women [56]. All items were rated on a 5-point scale, ranging from 1 (never) to 5 (always) [56]. Higher scores on this scale reflect greater body appreciation. McDonald’s ω was 0.97/Cronbach’s α = 0.97 in the total sample.

Eating Attitudes Test-7 (EAT-7)

Participants were asked to complete the EAT-7 which has recently been validated in Arabic, with a one-factor solution, and an excellent Cronbach’s alpha (> 0.9) [57]. This 7-item scale measures symptoms and concerns characteristic of eating disorders. All items were rated on a 6-point scale, ranging from 1 (never) to 6 (always). Higher total scores reflect greater disordered eating attitudes. In the present study, McDonald’s ω was 0.80/Cronbach’s α = 0.80 in the total sample.

Muscle Dysmorphic Disorder Inventory (Ar-MDDI)

Validated in the Arabic language [47], the results of the EFA revealed three factors (Appearance intolerance, Drive for size, and Functional impairment) with a Cronbach’s alpha of 0.81. This scale is composed of 13 items, scored on a five-point Likert-type scale (0 = never to 4 = always) [58]. In the present study, McDonald’s ω was 0.88/Cronbach’s α = 0.90 in the total sample.

Demographics

Participants were asked to provide their demographic details consisting of age, sex, marital status, highest education level, and physical activity (calculated by multiplying the exercise strength by intensity by duration [59]).

Translation procedure

The WBIS-3 and MBIS scales were translated to the official Arabic language, which is written and spoken across the Middle East and North Africa (MENA). The translation was performed with the purpose of achieving semantic equivalence between measures in their original and Arabic versions following international norms and recommendations [60]. To this end, the forward–backward translation approach was used. The English version was translated to Arabic by a Lebanese translator who was completely unrelated to the study. Afterwards, a Lebanese psychologist with a full working proficiency in English, translated the Arabic version back to English. The translation team ensured that any literal and/or specific translation was balanced. The initial and translated English versions were compared to detect/eliminate any inconsistencies and guarantee the accuracy of the translation by a committee of experts composed of the research team and the two translators [61]. An adaptation of the measure to the Arab context was performed, and sought to determine any misunderstanding of the items wording as well as the ease of items interpretation; and, therefore, ensure the conceptual equivalence of the original and Arabic scales in both contexts [62]. After the translation and adaptation of the scale, a pilot study was done on 20 participants to ensure all questions were well understood; no changes were applied after the pilot study.

Analytic strategy

Data treatment

There were no missing responses in the dataset. To examine the factor structure of the MBIS, we used an EFA-to-CFA strategy [63]. To ensure adequate sample sizes for both EFA and CFA (i.e., n = 201 for EFA and CFA), we split the main sample using an SPSS computer-generated random technique; sample characteristics of the two split-halves are reported in Table 1. To examine the factor structure of the WBIS-3, we use EFA only, since CFA with three items is a saturated model.

Table 1 Sociodemographic characteristics of the participants

Exploratory Factor Analysis

EFA was conducted via the psych package [64]. We used parallel analysis to determine the number of factors. We used principal-axis factoring and oblimin rotation to estimate parameters in EFA.

Confirmatory Factor Analysis

CFA was conducted via the lavaan package [65]. Given that the responses for the MBIS are ordinal (i.e., Likert scales), we used the weighted least square mean and variance adjusted (WLSMV) estimator which was recommended for ordinal CFA [66]. Following the guidelines in Hu and Benlter [67], the following model fit indicators were used, the Comparative Fit Index (CFI; values close to or greater than 0.95 = good fit), the Tucker-Lewis index (TLI; values close to or greater than 0.95 = good fit), and Standardized Root Mean Square Residual (SRMR; values close to or less than 0.05 = good fit, and values between 0.06 and 0.10 = acceptable fit). Note that SRMR performed generally better than RMSEA in CFA with ordinal data [68], we did not report RMSEA in the present study.

Measurement invariance

To examine sex invariance of MBIS scores, we conducted multi-group CFA [69] using SPSS AMOS v.29 software on the second split-half subsample with the estimator of ML. We did not use the WLSMV is because WLSMV requires the two groups to have the same missing pattern in all categories; however, there were certain items that had no values in certain categories (e.g., 7 “strongly agree”) for female. Thus, WLSMV was not applicable. Measurement invariance was assessed at the configural, metric, and scalar levels [70]. Proof of invariance was estimated if ΔCFI ≤ 0.010 and ΔRMSEA ≤ 0.015 or ΔSRMR ≤ 0.010 [69, 71].

Further analyses

Composite internal consistency in both subsamples was assessed using McDonald’s ω (and Cronbach’s α), with values > 0.70 reflecting adequate internal consistency [72]. McDonald’s ω was selected as a measure of composite reliability because of known problems with the use of Cronbach’s α [73]. To assess convergent and criterion-related validity, we examined bivariate correlations between MBIS and WBIS scores and all scales included in the survey using the total sample. All scores had normal distribution, as identified by skewness and kurtosis values varying between − 1 and + 1 [74]; therefore, Pearson correlation test was used. Based on [75], values ≤ 0.10 were considered weak, ~ 0.30 were considered moderate, and ~ 0.50 were considered strong correlations. P < 0.05 was considered statistically significant.

Results

A total of 402 Lebanese citizens and residents enrolled in this study with a mean age of 24.46 years (SD = 6.60; min = 18; max = 60) and 55.2% females. Other sample characteristics are displayed in Table 1. No significant differences were seen between the two subsamples in terms of all characteristics, except for the MDD score were participants from subsample 1 scored higher than those from subsample 2.

Muscularity Bias Internalization Scale

Exploratory Factor Analysis

According to the results of Bartlett’s test of sphericity, χ2(91) = 2837.45 (p < 0.001), and the Kaiser–Meyer–Olkin Measure of Sampling Adequacy of 0.93, the items of the MBIS items were suitable for factor analysis. Parallel analysis (see Fig. 1) showed that two factors should be extracted. The two-factor solution could explain 71% of the total variance. The standardized factor loadings are shown in Table 2. The McDonald’s ω values were 0.95 for Factor 1 and 0.93 for Factor 2 in the first subsample (Cronbach’s α = 0.92 and 0.94 respectively).

Fig. 1
figure 1

Parallel analysis of the MBIS

Table 2 Items of the muscle and weight bias internalization scales in English and factor loadings derived from the Exploratory Factor Analyses (EFA) in the first split-half subsample, and standardised estimates of factor loadings from the Confirmatory Factor Analysis (CFA) in the second split-half subsample

Confirmatory Factor Analysis

Results of CFA showed that the two-factor model had an adequate model fit, with χ2(76) = 627.58 (p < 0.001), CFI = 0.95, TLI = 0.95, and SRMR = 0.06. The two factors had a correlation of r = 0.87 (p < 0.001). The factor loadings are shown in Table 2. The McDonald’s ω values were 0.94 for Factor 1 and 0.92 for Factor 2 in the second subsample (Cronbach’s α = 0.94 and 0.95 respectively).

Weight Bias Internalization Scale-3

Exploratory Factor Analysis

According to the results of Bartlett’s test of sphericity, χ2(3) = 587.24 (p < 0.001), and the Kaiser–Meyer–Olkin Measure of Sampling Adequacy of 0.73, the items of the WBIS-3 items were suitable for factor analysis. Parallel analysis (see Fig. 2) showed that one factor should be extracted, explaining 69% of the total variance. The standardized factor loadings are shown in Table 3. The McDonald’s ω values were 0.87 in the total sample, 0.86 in males and 0.88 in females (Cronbach’s α = 0.87 in the total sample, 0.86 in males and 0.87 in females).

Fig. 2
figure 2

Parallel analysis of the WBIS-3

Table 3 Loading factors deriving from the Exploratory Factor Analysis of the Weight Bias Internalization-3 items in the total sample and among males and females respectively
Measurement invariance

All fit indices suggested that measurement invariance was verified across sexes concerning the MBIS scale (Table 4). Higher mean MBIS Factor 1 and Factor 2 were significantly found in males compared to females. However, no difference was found between sexes in terms of WBIS scores (Table 5).

Table 4 Measurement invariance of the Muscle Bias Internalization Scale (MBIS) across sex in the second split-half subsample
Table 5 Comparison between sexes in terms of muscle and weight bias internalization scores in the second split-half subsample
Convergent, divergent and concurrent validity in the total sample

Convergent validity was demonstrated by the correlation between the MBIS and WBIS, (r = 0.49, p < 0.001). Divergent validity was demonstrated by the correlation between the MBIS and the EAT (r = 0.14, p = 0.006), as well as by the significant correlation between the correlations of MBIS and MDDI (r = 0.51, p < 0.001) and WBIS and MDDI (r = 0.38, p < 0.001). Concurrent validity, demonstrated by the correlations between the MBIS and MDDI (r = 0.51, p < 0.001), between the MBIS and DMS (r = 0.61, p < 0.001), between MBIS and BAS-2 (r = 0.30, p <  − 0.001) (Table 6).

Table 6 Correlation matrix of continuous variables

Discussion

We sought to contribute to the underdeveloped area of research on WBI and MBI, by translating and validating the Arabic versions of the WBIS-3 and the MBIS for use in Arabic-speaking populations. Overall, the results confirmed good psychometric qualities of the Arabic translation of both scales. After performing both a CFA and an EFA of the MBIS using two different subsamples, the findings showed adequate fit of the 14-item Arabic MBIS version that fall into two factors, as well as a high internal consistency (McDonald’s ω ranging from 0.92-0.95), and invariance of scores across sex. EFA indicated an acceptable single-factor solution for the WBIS-3; with a McDonald’s ω coefficient of 0.87 reflecting a good internal consistency. In addition, findings provided support for the convergent, divergent and concurrent validity of the two scales.

To respond to the first purpose of the current study, the internal structure of the WBIS-3 and MBIS scores were analyzed. As in the original report by Kliem et al. [29], an EFA of the WBIS-3 resulted in a robust single-factor solution for the three items, with 69% variance explained. An examination of the factorial validity structure of the Arabic MBIS was undertaken using a two-step analytic strategy consisting of EFA followed by CFA on two different samples [76]. Results revealed that the originally proposed three-factor structure model failed to fit the data, while a two-factor structure showed adequate goodness of fit indicators (i.e., Factor 1 “Personal Value attached to Muscularity” and Factor 2 “Definition, Appearance, and Perceived Impact of Muscularity”). These findings are inconsistent with those found for the original scale, which showed that all 14 items loaded significantly onto three factors [11]. These differences in factor structures between the original and the Arabic versions may be due to the sample differences (male sample in the original study, a mixed sex sample in the present study), or cultural differences; as various cultural factors (e.g., lifestyle, food intake, economics, genetics) has been demonstrated to be majors determinants for variations in body size, muscularity [77,78,79], and the kind of muscular ideal body type desire [80, 81]. Future validation studies are still required to examine the structural validity of the MBIS.

Beyond factor structure, another important psychometric property that we aimed to evaluate is composite internal consistency. We obtained excellent internal consistency as indicated by McDonald’s ω coefficients ranging between 0.92 and 0.95 for the MBIS scores, and an ω coefficient of 0.87 for the WBIS-3 total score. This is in agreement with the original validation of the WBIS-3 which indicated a high internal consistency (α = 0.92) in a large German sample from the general population [29]; and similar to the original MBIS which showed categorical ω internal consistency estimates ranging from 0.76 to 0.99 in Chinese adult men [11]. The present study also explored invariance of MBIS scores across sex groups. Cross-sex invariance of the two-dimensional model was confirmed at the configural, metric, and scalar levels; thus supporting the Arabic version as a psychometrically valid measure of MBI for both males and females. As the original MBIS has been validated in an exclusively male sample, sex invariance has not been previously examined. Presenting empirical evidence in favor of measurement invariance across sexes provides strong endorsement for using the Arabic MBIS for detecting sex differences in MBI that are not attributable to differential interpretations of items’ content between males and females.

Convergent validity was supported by significant correlations between the MBIS and WBIS-3. Additionally, divergent and concurrent validity was tested through showing that the scales’ scores correlate to other relevant constructs (here, body appreciation, disordered eating, and muscle dysmorphic symptoms) in the theoretically expected way. In particular, both MBI showed small to medium positive correlations with muscle dysmorphia and disordered eating symptoms, and inverse correlations with body appreciation; thus perfectly aligning with the original validation findings [11]. In this line, previous literature found that muscularity concerns are associated with muscle dysmorphia [82,83,84,85]; and can potentially involve both leanness and/or thinness [86, 87]. These results suggest that MBI appears to potentially contribute not only to beliefs of being insufficiently lean/muscular; but also to thinness-oriented disordered eating and body image disturbances [11]. On the other hand, and as expected, WBI showed similar patterns of correlations with these constructs. Consistently, the developers of the original WBIS-3 demonstrated construct validity by confirming theoretically derived associations between WBI and eating behavior, i.e., restricted, external, and emotional eating styles [29]. Similarly, other linguistic validations (such as the Greek [26] or the Spanish [88] versions) showed that WBIS scores positively correlated with dysfunctional eating habits/behaviors and body image concerns. This supports finding of previous studies that a key feature of WBI is weight-related self-devaluation [3], and that WBI is closely linked to thinness-oriented disordered eating and body image dissatisfaction [20, 89, 90].

Study strengths and limitations

The present study has several strengths. As far as we are aware, this is the first study to adapt and validate Arabic language versions of the WBIS-3 and MBIS for use in the Arabic-speaking population; and to offer descriptive data on WBI and MBI in the general Arab population. To achieve this, we adopted appropriate statistical methods (EFA-to-CFA strategy and measurement invariance test). Despite these strengths, the study has certain limitations that should be considered. First, the representativeness of the sample is relatively limited due to the use of a web-based convenience sampling. Future research using larger samples (comprising those who are not connected to the internet) and probabilistic sampling procedures is required before claiming that the present conclusions can be generalizable to the broader Arabic-speaking population. Second, the weight and height of participants has not been collected; which precluded the assessment of invariance across different Body Mass Index categories as well as comparisons by weight status. Third, important psychometric properties (e.g., test–retest reliability) have not been explored in the context of the current study, and still need to be considered in future research. Finally, our sample was not clinical; future studies tackling all these limitations are warranted.

Study implications

In sum, we contribute to existing literature by providing the first valid WBIS-3 and MBIS measures in the Arabic language. Overall, the present results offer sufficient evidence that the Arabic versions of the WBIS-3 and MBIS are psychometrically sound, and can be considered useful tools in both clinical and research settings. Findings also provide more support to the clinical relevance of the WBI and MBI constructs in the Arab context. Accordingly, we hope to draw the attention of Arab mental health clinicians and scholars to the potential implications of their evaluation. Making the Arabic versions of the WBIS-3 and the MBIS available will hopefully advance our understanding of internalized weight and muscularity biases in Arab contexts; and facilitate future international research and cross-cultural comparisons to inform targeted and culturally tailored public health efforts aiming at combatting these issues. Given the growing sociocultural changes affection the Arab region and Lebanon, future studies still need to tailor measures and interventions for disordered eating and body image issues to the changing context; to adapt them to local cultural norms and values. In addition, given the inter-country and -regional sociocultural differences amongst Arab populations and communities [91], futures studies would consider investigating measurement invariance across Arabic-speaking participants from various nationality and culture groups; in order to confirm that items are interpreted and answered in the same manner and factor structures are consistent across these groups.

Conclusion

There is a lack of valid, convenient, and economic measures to assess WBI and MBI among Arabic-speaking people, which has partly contributed to a lack of research and knowledge in this area. In summary, the Arabic versions of the MBIS and WBIS-3 demonstrated good psychometric qualities and are suitable instruments for measuring MBI and WBI in Arabic-speaking adults in clinical and research Arab settings. We hope that providing these valid and reliable measures will encourage clinicians to routinely evaluate the WBI and MBI constructs in clinical practice; and pave the way for future research in this area.

Availability of data and materials

All data generated or analyzed during this study are not publicly available due the restrictions from the ethics committee. Data can be shared upon a reasonable request to the corresponding author.

References

  1. Brewis A, SturtzSreetharan C, Wutich A. Obesity stigma as a globalizing health challenge. Glob Health. 2018;14:1–6.

    Article  Google Scholar 

  2. Rubino F, Puhl RM, Cummings DE, Eckel RH, Ryan DH, Mechanick JI, Nadglowski J, Ramos Salas X, Schauer PR, Twenefour D. Joint international consensus statement for ending stigma of obesity. Nat Med. 2020;26(4):485–97.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Durso LE, Latner JD. Understanding self-directed stigma: development of the weight bias internalization scale. Obesity. 2008;16(S2):S80–6.

    Article  PubMed  Google Scholar 

  4. Hunger JM, Major B. Weight stigma mediates the association between BMI and self-reported health. Health Psychol. 2015;34(2):172.

    Article  PubMed  Google Scholar 

  5. Durso LE, Latner JD, Ciao AC. Weight bias internalization in treatment-seeking overweight adults: psychometric validation and associations with self-esteem, body image, and mood symptoms. Eat Behav. 2016;21:104–8.

    Article  PubMed  Google Scholar 

  6. Thompson JK: Body image disturbance: assessment and treatment: Pergamon Press; 1990.

  7. Carels RA, Hlavka R, Selensky JC, Solar C, Rossi J, Caroline Miller J. A daily diary study of internalised weight bias and its psychological, eating and exercise correlates. Psychol Health. 2019;34(3):306–20.

    Article  PubMed  Google Scholar 

  8. Puhl RM, Himmelstein MS, Quinn DM. Internalizing weight stigma: prevalence and sociodemographic considerations in US adults. Obesity. 2018;26(1):167–75.

    Article  PubMed  Google Scholar 

  9. Schvey NA, White MA. The internalization of weight bias is associated with severe eating pathology among lean individuals. Eat Behav. 2015;17:1–5.

    Article  PubMed  Google Scholar 

  10. Mustelin L, Kärkkäinen U, Kaprio J, Keski-Rahkonen A. The Eating Disorder Inventory in the screening for DSM-5 binge eating disorder. Eat Behav. 2016;22:145–8.

    Article  PubMed  Google Scholar 

  11. He J, Tang C, Song J, Cui T, Barnhart WR, Cui S, Ren Y, Nagata JM. The Muscularity Bias Internalization Scale: development and initial validation in Chinese adult men. Body Image. 2022;43:326–36.

    Article  PubMed  Google Scholar 

  12. McCreary DR, Sasse DK. An exploration of the drive for muscularity in adolescent boys and girls. J Am Coll Health. 2000;48(6):297–304.

    Article  PubMed  Google Scholar 

  13. Mensinger JL, Meadows A. Internalized weight stigma mediates and moderates physical activity outcomes during a healthy living program for women with high body mass index. Psychol Sport Exerc. 2017;30:64–72.

    Article  Google Scholar 

  14. Pearl RL, Puhl RM. Weight bias internalization and health: a systematic review. Obes Rev. 2018;19(8):1141–63.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Olson KL, Lillis J, Graham Thomas J, Wing RR. Prospective evaluation of internalized weight bias and weight change among successful weight-loss maintainers. Obesity. 2018;26(12):1888–92.

    Article  PubMed  Google Scholar 

  16. Pearl RL, Wadden TA, Chao AM, Walsh O, Alamuddin N, Berkowitz RI, Tronieri JS. Weight bias internalization and long-term weight loss in patients with obesity. Ann Behav Med. 2019;53(8):782–7.

    Article  PubMed  Google Scholar 

  17. Pearl RL, Forgeard MJ, Rifkin L, Beard C, Björgvinsson T. Internalized stigma of mental illness: changes and associations with treatment outcomes. Stigma Health. 2017;2(1):2.

    Article  Google Scholar 

  18. James D. Health and health-related correlates of internalized racism among racial/ethnic minorities: a review of the literature. J Rac Ethn Health Dispar. 2020;7:785–806.

    Article  Google Scholar 

  19. Pearl RL, White MA, Grilo CM. Weight bias internalization, depression, and self-reported health among overweight binge eating disorder patients. Obesity. 2014;22(5):E142–8.

    Article  PubMed  Google Scholar 

  20. Marshall RD, Latner JD, Masuda A. Internalized weight bias and disordered eating: the mediating role of body image avoidance and drive for thinness. Front Psychol. 2020;10:2999.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Davies A: Expand Your Horizon: Investigating an online intervention for weight bias internalization. 2021.

  22. Outar L, Turner M, Wood A, O’Connor H. Muscularity rationality: an examination of the use of Rational Emotive Behaviour Therapy (REBT) upon exercisers at risk of muscle dysmorphia. Psychol Sport Exerc. 2021;52: 101813.

    Article  Google Scholar 

  23. DePierre JA, Puhl RM. Experiences of weight stigmatization: a review of self-report assessment measures. Obes Facts. 2012;5(6):897–918.

    Article  PubMed  Google Scholar 

  24. Pearl RL, Puhl RM. Measuring internalized weight attitudes across body weight categories: validation of the modified weight bias internalization scale. Body Image. 2014;11(1):89–92.

    Article  PubMed  Google Scholar 

  25. Macho S, Andrés A, Saldaña C. Validation of the modified weight bias internalization scale in a Spanish adult population. Clin Obes. 2021;11(4): e12454.

    Article  PubMed  Google Scholar 

  26. Argyrides M, Charalambous Z, Anastasiades E, Michael K. Translation and validation of the Greek version of the Modified Weight Bias Internalization Scale in an adult population. Clin Obes. 2022;12(2): e12503.

    Article  PubMed  Google Scholar 

  27. Pakpour AH, Tsai M-C, Lin Y-C, Strong C, Latner JD, Fung XC, Lin C-Y, Tsang HW. Psychometric properties and measurement invariance of the Weight Self-Stigma Questionnaire and Weight Bias Internalization Scale in children and adolescents. Int J Clin Health Psychol. 2019;19(2):150–9.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Apay SE, Yılmaz E, Aksoy M, Akalın H. Validity and reliability study of modified Weight Bias Internalization Scale in Turkish. Int J Car Sci. 2017;10(3):66.

    Google Scholar 

  29. Kliem S, Puls H-C, Hinz A, Kersting A, Brähler E, Hilbert A. Validation of a Three-Item Short Form of the Modified Weight Bias Internalization Scale (WBIS-3) in the German population. Obes Facts. 2020;13(6):560–71.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Schaefer LM, Harriger JA, Heinberg LJ, Soderberg T, Kevin Thompson J. Development and validation of the sociocultural attitudes towards appearance questionnaire-4-revised (SATAQ-4R). Int J Eat Disord. 2017;50(2):104–17.

    Article  PubMed  Google Scholar 

  31. Badran M, Laher I. Obesity in Arabic-speaking countries. J Obes. 2011;2011:66.

    Article  Google Scholar 

  32. Savvaidis IN, Al Katheeri A, Lim S-HE, Lai K-S, Abushelaibi A. Chapter 1—Traditional foods, food safety practices, and food culture in the Middle East. In: Food safety in the Middle East. Edited by Savvaidis IN, Osaili TM. Academic Press; 2022. p. 1–31.

  33. Thomas J, O’Hara L, Quadflieg S, Weissgerber SC. Acculturation, out-group positivity and eating disorders symptoms among Emirati women. Eat Weight Disord Stud Anorexia Bulimia Obes. 2018;23:241–6.

    Article  Google Scholar 

  34. Melisse B, de Beurs E, van Furth EF. Eating disorders in the Arab world: a literature review. J Eat Disord. 2020;8:1–19.

    Article  Google Scholar 

  35. Melisse B, Blankers M, de Beurs E, van Furth EF. Correlates of eating disorder pathology in Saudi Arabia: BMI and body dissatisfaction. J Eat Disord. 2022;10(1):126.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Haddad C, Zakhour M, Akel M, Honein K, Akiki M, Hallit S, Obeid S. Factors associated with body dissatisfaction among the Lebanese population. Eat Weight Disord Stud Anorexia Bulimia Obes. 2019;24:507–19.

    Article  Google Scholar 

  37. Zakhour M, Haddad C, Sacre H, Tarabay C, Zeidan RK, Akel M, Hallit R, Kheir N, Obeid S, Salameh P, et al. Differences in the associations between body dissatisfaction and eating outcomes by gender? A Lebanese population study. Rev Epidemiol Sante Publique. 2021;69(3):134–44.

    Article  PubMed  Google Scholar 

  38. Al-Musharaf S, Rogoza R, Mhanna M, Soufia M, Obeid S, Hallit S. Factors of body dissatisfaction among Lebanese adolescents: the indirect effect of self-esteem between mental health and body dissatisfaction. BMC Pediatr. 2022;22(1):1–11.

    Article  Google Scholar 

  39. Mousa TY, Mashal RH, Al-Domi HA, Jibril MA. Body image dissatisfaction among adolescent schoolgirls in Jordan. Body Image. 2010;7(1):46–50.

    Article  PubMed  Google Scholar 

  40. Schulte SJ, Thomas J. Relationship between eating pathology, body dissatisfaction and depressive symptoms among male and female adolescents in the United Arab Emirates. Eat Behav. 2013;14(2):157–60.

    Article  PubMed  Google Scholar 

  41. Al-Sendi A, Shetty P, Musaiger A. Body weight perception among Bahraini adolescents. Child Care Health Dev. 2004;30(4):369–76.

    Article  PubMed  Google Scholar 

  42. O’Hara L, Tahboub-Schulte S, Thomas J. Weight-related teasing and internalized weight stigma predict abnormal eating attitudes and behaviours in Emirati female university students. Appetite. 2016;102:44–50.

    Article  PubMed  Google Scholar 

  43. Fatima W, Fatima R, Anwar NS. Disordered eating attitude and body dissatisfaction among adolescents of Arab countries: a review. Asian J Biol Sci. 2019;12:373–9.

    Article  Google Scholar 

  44. Fekih-Romdhane F, Obeid S, Malaeb D, Hallit R, Hallit S. Validation of a shortened version of the Eating Attitude Test (EAT-7) in the Arabic language. J Eat Disord. 2022;10(1):1–8.

    Article  Google Scholar 

  45. Hallit S, Brytek-Matera A, Obeid S. Orthorexia nervosa and disordered eating attitudes among Lebanese adults: assessing psychometric proprieties of the ORTO-R in a population-based sample. PLoS ONE. 2021;16(8): e0254948.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Fekih-Romdhane F, Malaeb D, Fawaz M, Chammas N, Soufia M, Obeid S, Hallit S. Translation and validation of the mindful eating behaviour scale in the Arabic language. BMC Psychiatry. 2023;23(1):120.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Fekih-Romdhane F, Merhy G, Moubarak V, He J, Rogoza R, Hallit R, Obeid S, Hallit S. Validation of the Arabic version of the Muscle Dysmorphic Disorder Inventory (Ar-MDDI) among Lebanese male university students. J Eat Disord. 2023;11(1):11.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Puhl RM, Latner J, O’Brien K, Luedicke J, Daníelsdóttir S, Forhan M. A multinational examination of weight bias: predictors of anti-fat attitudes across four countries. Int J Obes. 2015;39(7):1166–73.

    Article  Google Scholar 

  49. Edwards C, Tod D, Molnar G. A systematic review of the drive for muscularity research area. Int Rev Sport Exerc Psychol. 2014;7(1):18–41.

    Article  Google Scholar 

  50. He J, Murray S, Compte EJ, Song J, Nagata JM. The muscularity-oriented eating test, drive for muscularity scale, and muscle dysmorphic disorder inventory among Chinese men: Confirmatory factor analyses. Int J Environ Res Public Health. 2021;18(21):11690.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Sai A, Furusawa T, Othman MY, Tomojiri D, Zaini WFZW, Tan CSY, Norzilan NIBM. Sociocultural factors affecting drive for muscularity among male college students in Malaysia. Heliyon. 2020;6(7): e04414.

    Article  PubMed  PubMed Central  Google Scholar 

  52. 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(1): e86303.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Meadows A, Higgs S. The multifaceted nature of weight-related self-stigma: validation of the two-factor weight bias internalization scale (WBIS-2F). Front Psychol. 2019;10:808.

    Article  PubMed  PubMed Central  Google Scholar 

  54. O’Brien KS, Latner JD, Puhl RM, Vartanian LR, Giles C, Griva K, Carter A. The relationship between weight stigma and eating behavior is explained by weight bias internalization and psychological distress. Appetite. 2016;102:70–6.

    Article  PubMed  Google Scholar 

  55. Fekih-Romdhane F, Azzi V, Malaeb D, Sarray El Dine A, Obeid S, Hallit S: Psychometric properties of an Arabic translation of the Body Appreciation Scale (BAS-2) and its Short Forms (BAS-2SF) in a community sample of Lebanese Adults. Under review.

  56. Tylka TL, Wood-Barcalow NL. The Body Appreciation Scale-2: item refinement and psychometric evaluation. Body Image. 2015;12:53–67.

    Article  PubMed  Google Scholar 

  57. Fekih-Romdhane F, Obeid S, Malaeb D, Hallit R, Hallit S. Validation of a shortened version of the Eating Attitude Test (EAT-7) in the Arabic language. J Eat Disord. 2022;10(1):127.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Hildebrandt T, Langenbucher J, Schlundt DG. Muscularity concerns among men: development of attitudinal and perceptual measures. Body Image. 2004;1(2):169–81.

    Article  PubMed  Google Scholar 

  59. Weary-Smith KA. Validation of the physical activity index (PAI) as a measure of total activity load and total kilocalorie expenditure during submaximal treadmill walking. University of Pittsburgh; 2007.

  60. Van Widenfelt BM, Treffers PD, De Beurs E, Siebelink B, Koudijs E, Siebelink BM. Translation and cross-cultural adaptation of assessment instruments used in psychological research with children and families. Clin Child Fam Psychol Rev. 2005;8(2):66.

    Google Scholar 

  61. Fenn J, Tan C-S, George S. Development, validation and translation of psychological tests. BJPsych Adv. 2020;26(5):306–15.

    Article  Google Scholar 

  62. Ambuehl B, Inauen J. Contextualized Measurement Scale adaptation: a 4-step tutorial for health psychology research. Int J Environ Res Public Health. 2022;19(19):12775.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Swami V, Barron D. Translation and validation of body image instruments: challenges, good practice guidelines, and reporting recommendations for test adaptation. Body Image. 2019;31:204–20.

    Article  PubMed  Google Scholar 

  64. Revelle W, Revelle MW. Package ‘psych.’ Compr R Arch Netw. 2015;337:338.

    Google Scholar 

  65. Rosseel Y. lavaan: an R package for structural equation modeling. J Stat Softw. 2012;48:1–36.

    Article  Google Scholar 

  66. Li C-H. Confirmatory factor analysis with ordinal data: comparing robust maximum likelihood and diagonally weighted least squares. Behav Res Methods. 2016;48:936–49.

    Article  PubMed  Google Scholar 

  67. Hu L, Bentler PM. Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychol Methods. 1998;3(4):424.

    Article  Google Scholar 

  68. Shi D, Maydeu-Olivares A, Rosseel Y. Assessing fit in ordinal factor analysis models: SRMR vs. RMSEA. Struct Equ Model A Multidiscip J. 2020;27(1):1–15.

    Article  Google Scholar 

  69. Chen FF. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Model. 2007;14(3):464–504.

    Article  Google Scholar 

  70. Vadenberg R, Lance C. A review and synthesis of the measurement in variance literature: suggestions, practices, and recommendations for organizational research. Organ Res Methods. 2000;3:4–70.

    Article  Google Scholar 

  71. Cheung GW, Rensvold RB. Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Equ Model. 2002;9(2):233–55.

    Article  Google Scholar 

  72. Dunn TJ, Baguley T, Brunsden V. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. Br J Psychol. 2014;105(3):399–412.

    Article  PubMed  Google Scholar 

  73. McNeish D. Thanks coefficient alpha, we’ll take it from here. Psychol Methods. 2018;23(3):412.

    Article  PubMed  Google Scholar 

  74. Hair Jr JF, Sarstedt M, Ringle CM, Gudergan SP. Advanced issues in partial least squares structural equation modelling. SAGE; 2017.

  75. Cohen J. Quantitative methods in psychology: a power primer. In: Psychological bulletin: Citeseer; 1992.

  76. Worthington RL, Whittaker TA. Scale development research: a content analysis and recommendations for best practices. Couns Psychol. 2006;34(6):806–38.

    Article  Google Scholar 

  77. Arnold H-H, Braun T. 4 Genetics of muscle determination and development. Curr Top Dev Biol. 1999;48:129–64.

    Article  Google Scholar 

  78. Hsueh WC, Bennett PH, Esparza-Romero J, Urquidez-Romero R, Valencia ME, Ravussin E, Williams RC, Knowler WC, Baier LJ, Schulz LO. Analysis of type 2 diabetes and obesity genetic variants in Mexican Pima Indians: Marked allelic differentiation among Amerindians at HLA. Ann Hum Genet. 2018;82(5):287–99.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Zhang Q, Wang Y. Socioeconomic inequality of obesity in the United States: do gender, age, and ethnicity matter? Soc Sci Med. 2004;58(6):1171–80.

    Article  PubMed  Google Scholar 

  80. Thornborrow T, Onwuegbusi T, Mohamed S, Boothroyd LG, Tovée MJ. Muscles and the media: a natural experiment across cultures in men’s body image. Front Psychol. 2020;495:66.

    Google Scholar 

  81. Chen H, Wang X, Zang H, Guinote A. Being a tough person in a tight world: cultural tightness leads to a desire for muscularity. J Exp Soc Psychol. 2021;96: 104183.

    Article  Google Scholar 

  82. Murray SB, Rieger E, Touyz SW, De la Garza GL. Yolanda: Muscle dysmorphia and the DSM-V conundrum: Where does it belong? A review paper. Int J Eat Disord. 2010;43(6):483–91.

    Article  PubMed  Google Scholar 

  83. Klimek P, Murray SB, Brown T, Gonzales M IV, Blashill AJ. Thinness and muscularity internalization: associations with disordered eating and muscle dysmorphia in men. Int J Eat Disord. 2018;51(4):352–7.

    Article  PubMed  Google Scholar 

  84. Robert CA, Munroe-Chandler KJ, Gammage KL. The relationship between the drive for muscularity and muscle dysmorphia in male and female weight trainers. J Strength Cond Res. 2009;23(6):1656–62.

    Article  PubMed  Google Scholar 

  85. Thomas A, Tod DA, Edwards CJ, McGuigan MR. Drive for muscularity and social physique anxiety mediate the perceived ideal physique muscle dysmorphia relationship. J Strength Cond Res. 2014;28(12):3508–14.

    Article  PubMed  Google Scholar 

  86. Murnen SK, College K. Gender differences in responses to thin, athletic, and hyper-muscular idealized bodies. Body Image. 2019;30:1–9.

    Article  PubMed  Google Scholar 

  87. Murray SB, Griffiths S, Mond JM. Evolving eating disorder psychopathology: conceptualising muscularity-oriented disordered eating. Br J Psychiatry. 2016;208(5):414–5.

    Article  PubMed  Google Scholar 

  88. Andrés A, Fornieles-Deu A, Sepúlveda AR, Beltrán-Garrayo L, Montcada-Ribera A, Bach-Faig A, Sánchez-Carracedo D. Spanish validation of the Modified Weight Bias Internalization Scale (WBIS-M) for adolescents. Eat Weight Disord Stud Anorexia Bulimia Obes. 2022;27(8):3245–56.

    Article  Google Scholar 

  89. Burnette CB, Mazzeo SE. Examining the contribution of weight-bias internalization to the associations between weight suppression and disordered eating in undergraduates. Eat Behav. 2020;37: 101392.

    Article  PubMed  Google Scholar 

  90. Durso LE, Latner JD, Hayashi K. Perceived discrimination is associated with binge eating in a community sample of non-overweight, overweight, and obese adults. Obes Facts. 2012;5(6):869–80.

    Article  PubMed  Google Scholar 

  91. Fekih-Romdhane F, Jahrami H, Stambouli M, Alhuwailah A, Helmy M, Shuwiekh HAM, Lemine CMM, Radwan E, Saquib J, Saquib N. Cross-cultural comparison of mental illness stigma and help-seeking attitudes: a multinational population-based study from 16 Arab countries and 10,036 individuals. Soc Psychiatry Psychiatr Epidemiol. 2022;66:1–16.

    Google Scholar 

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JH, SO and SH designed the study; FFR drafted the manuscript; DM and MD collected the data and helped with the writing; JH and SH carried out the analysis and interpreted the results; RH reviewed the paper for intellectual content; all authors reviewed the final manuscript and gave their consent. All authors read and approved the final manuscript.

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Fekih-Romdhane, F., He, J., Malaeb, D. et al. Psychometric properties of the Arabic versions of the Three-Item Short Form of the modified Weight Bias Internalization Scale (WBIS-3) and the Muscularity Bias Internalization Scale (MBIS). J Eat Disord 11, 82 (2023). https://doi.org/10.1186/s40337-023-00805-z

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