Introduction
Current studies underline the severity of body dissatisfaction among individuals with overweight and obesity as elevated levels compared to normal weight controls have consistently been found (e.g. Weinberger et al.,
2016). Besides body dissatisfaction's negative effects on emotional well-being (Schwartz & Brownell,
2004), experimental and longitudinal studies yield robust evidence that it is a risk factor for disordered eating, thereby contributing to the etiology and maintenance of overweight and obesity (Jansen et al.,
2008a,
2008b; Neumark-Sztainer et al.,
2006). Given this evidence and the limited long-term effectiveness of weight-loss programs (Dombrowski et al.,
2014), body image interventions have been integrated in evidence-based weight loss treatments and some initial promising results have been reported (Jansen et al.,
2008a,
2008b; Olson et al.,
2018). This notwithstanding, a more fundamental understanding of body dissatisfaction and its relation to eating pathology in overweight and obesity could provide novel treatment options by a better alignment of current gold standard treatments to the identified maintaining mechanisms.
Cognitive-behavioral theories (Vitousek & Hollon,
1990; Williamson et al.,
2004) postulate that body dissatisfaction results from and is maintained by the activation of dysfunctional body-related schemata, which foster biased information processing involving memory, attention, and interpretation. Accordingly, understanding and changing these dysfunctional cognitive biases is crucial for improving body dissatisfaction.
In the context of overweight and obesity, the most frequently addressed cognitive bias has been the tendency to attribute negative characteristics to individuals with overweight and obesity [weight bias] which is also present in the devaluated subgroup itself (Watts & Cranney,
2009). However, theoretical models also emphasize the importance of weight-related self-schemata over general weight-related schemata, as the latter are shared by most people (Vitousek & Hollon,
1990). Hence, even though individuals with overweight and obesity might share the societal view on obesity, these attitudes may not necessarily be self-relevant and internalized by them. This assumption is supported by studies confirming the existence of discrepancies in persons with overweight and obesity between their attitudes towards obesity in general and attitudes towards themselves on negative and positive traits (see, e.g. Carels & Oehlhof,
2013). In line with this, numerous studies confirm the negative effects of weight bias internalization in persons with overweight and obesity as it is associated with psychological distress, severe eating pathology, and poorer weight loss outcome (Carels et al.,
2010; Mensinger et al.,
2016). Notably, though, most studies assessing weight bias internalization and its associations with other variables (like e.g. eating behavior) exclusively applied explicit self-report measures (Pearl & Puhl,
2018). However, implicit measures possess incremental explanatory and predictive validity over and above explicit measures as they tap more spontaneous impulses that are less governed by reflective cognition (Friese et al.,
2008; Greenwald et al.,
2003; Rudolph et al.,
2010). In line with this, meta-analytic evidence suggests a moderate correlation between explicit and implicit measures in general, which is influenced by moderator variables like, e.g., conceptual, and procedural correspondence (Hofmann et al.,
2005). Concerning weight-related biases, heterogeneous results have been found ranging from weak negative to moderate positive correlations (for an overview see Watts & Cranney,
2009). Hence, implicit measurement may complement explicit measurements and help minimize the influence of social desirability and demand characteristics (Greenwald & Lai,
2020).
To our knowledge, no study to date has assessed implicit negative attitudes to oneself being overweight in individuals with overweight and obesity. Moreover, only two studies with normal weight participants (Parling et al.,
2012; Ritzert et al.,
2016) assessed implicit associations between the self being thin or fat using self-statements (e.g. “me being thin” or “me being fat”) and evaluative categories (“good/bad”, “disgusting/attractive”, “fearful/attractive”, respectively). Both studies found a positive bias towards oneself being thin, while no devaluation of oneself being fat was evident. However, given the high prevalence of weight-based discrimination as well as the elevated levels of body dissatisfaction in individuals with overweight and obesity (Puhl & Heuer,
2009; Weinberger et al.,
2016), individuals with overweight and obesity might differ from normal weight participants’ implicit self-weight attitudes. So far, two studies investigating women with the diagnosis of a binge eating disorder (BED) compared to individuals with overweight and obesity without an eating disorder confirmed the importance of assessing self-relevant implicit attitudes over general weight biases [implicit self-esteem (Brauhardt et al.,
2014); implicit self-discrimination (Rudolph & Hilbert,
2014)] as these biases were predictive of eating pathology over and above weight status and/or experiences of weight stigma and general implicit weight bias.
Thus, the aim of the present study was to assess implicit attitudes towards one's own body, beyond the assessment of a general implicit weight bias, in women with overweight and obesity (OW) compared to women with normal weight (NW). Furthermore, given the relationship between self-stigmatizing attitudes and eating pathology using explicit measures (Brauhardt et al.,
2014; Pearl & Puhl,
2018; Rudolph & Hilbert,
2014), we were interested in the implicit association of one’s own body and high-calorie food in overweight and obesity. We hypothesized a comparable strength of general weight bias across groups irrespective of participants’ own weight
1 (measured by the Weight IAT). By contrast, females with OW were hypothesized to show a greater negative implicit attitude towards their own body (as indexed by the Body-SC-IAT), as well as stronger implicit associations between their own body and high-calorie food (Body-Food-SPF). Furthermore, we hypothesized that implicit devaluation of one’s own body (Body-SC-IAT) is related with explicitly assessed body dissatisfaction and eating pathology, while this was not expected for the general weight bias (Weight IAT).
Discussion
Recent studies highlight the need to target body dissatisfaction in persons with overweight and obesity as body dissatisfaction is associated with a variety of unhealthy behaviors and conditions such as reduced emotional well-being, disordered eating, and less successful long-term weight loss (maintenance) (Carraça et al.,
2011; Gall et al.,
2016; Olson et al.,
2018). According to theoretical models (Vitousek & Hollon,
1990; Williamson et al.,
2004), body dissatisfaction results from and is maintained through underlying weight-and shape-related (self-)schemata which are automatically activated and foster biased information processing. As the study of these implicit biases has largely been neglected so far, the present study investigated general and self-related implicit weight attitudes and their relation to eating pathology and high-calorie food in women with overweight and obesity compared to normal weight controls.
In line with our first hypothesis and previous studies (Puhl & Heuer,
2009; Watts & Cranney,
2009), there was no difference concerning the level of general weight bias between women with overweight and obesity and women with normal weight. Both groups showed and implicit and explicit preference towards persons with normal weight relative to persons with overweight. Thus, our results confirm that persons with overweight and obesity indeed internalize the disadvantaged societal attitudes towards their own in-group as shown in previous research using explicit self-report measures (Macho et al.,
2021; Pullmer et al.,
2021). Interestingly, there was an inverse correlation between BMI and implicit weight bias score, which means that persons with higher BMI showed this preference to a lesser extent. This is in line with other studies showing that the level of weight bias decreases with higher BMI classes (Marini et al.,
2013; Schwartz et al.,
2006). Importantly, there was no significant correlation between the implicit weight bias and either self-reported body dissatisfaction or eating pathology.
Our results from the Body-SC-IAT, furthermore, support the assumption that self-related weight biases are more relevant than general weight biases. In line with our second hypothesis, women with overweight and obesity displayed a negative implicit attitude towards their own body, while participants with normal weight showed a rather neutral attitude. This finding in participants with normal weight is surprising as previous research generally found a self-attractive bias (Parling et al.,
2012; Ritzert et al.,
2016). Although our sample was older, levels of explicit body dissatisfaction were comparable between these studies. However, and in contrast to former studies, we used idiosyncratic pictorial compared to generic, non-specific lexical stimuli (like e.g. “Me being fat is attractive” (Ritzert et al.,
2016)), which seem to be more ecologically valid when assessing self-related associations (Bluemke & Friese,
2012). The non-significant correlation between the implicit assessment of the general weight bias and the self-related weight bias, furthermore underpins the need to distinguish between these implicit biases. That is, even though a person with overweight and obesity might hold general negative attitudes towards overweight and obesity, it might not necessarily be self-relevant for this individual. Therefore, the differentiation between general and self-related weight biases is crucial and supported by the fact, that in line with our last hypothesis, only the implicit attitudes towards one’s own body were significantly correlated with explicitly assessed body dissatisfaction and severity of eating pathology. This was furthermore supported by our third implicit task as a stronger link between one’s own body and high-calorie food in women with overweight and obesity compared to women with normal weight was found. The importance of self-related weight biases in regard to body dissatisfaction and dysfunctional eating behavior in individuals with overweight and obese has already been confirmed in cross-sectional and experimental studies using explicit measures (Jiang & Vartanian,
2018; O’Brien et al.,
2016; Schvey et al.,
2011). Our results extend this previous work by demonstrating this link on an implicit level thereby underlining its spontaneous, non-reflective character.
Concerning clinical implications, it has been shown, that participants with high levels of explicit weight bias internalization benefit less from weight-loss or maintenance interventions, and same holds for holistic health interventions (Mensinger et al.,
2016; Pearl, et al.,
2018a,
2018b). Future research should therefore (a) investigate the correlation between explicit and implicit weight bias internalization and (b) test if implicit weight-bias internalization possesses incremental predictive validity over and above its explicit measurement in order to understand the possible clinical relevance of implicit weight-related biases. As only minor spontaneous changes in explicit and implicit weight bias internalization have been reported after obesity treatments without a direct intervention (Carels et al.,
2010; Mensinger et al.,
2016; Pearl, et al.,
2018a,
2018b), a next step will be to investigate which interventions are most effective in changing these weight-related biases. There is some evidence that enhancing self-esteem and body image as well as evoking empathy produces changes in explicit weight-related attitudes in individuals with overweight and obesity (Robinson et al.,
1993; Teachman et al.,
2003). In line with this, a recent pilot study confirmed positive effects in terms of reduced self-reported weight bias internalization and more eating self-efficacy after attending a short cognitive-behavioral group program to specifically reduce weight bias internalization (Pearl, et al.,
2018a,
2018b). The promising results of these intervention studies should be further investigated in larger samples and during weight loss programs to assess their additive effect on treatment outcome. Thereby, the use of implicit measures prior to and after the intervention might be useful to understand possible changes in less-controlled, schema-driven mechanisms.
Some limitations of this study should be delineated. First, the order of tasks was not counterbalanced, which might have affected the order of overall effect sizes and reliability. However, we chose to start with the Body-SC-IAT, as we were primarily interested in this self-relevant association and did not want it to be confounded by the activation of general weight-related biases. Further, possible sequence effects would have deteriorated correlations. Second, IAT-like implicit measures are prone to some limitations such as compatibility-order effect (Fiedler et al.,
2006), which can bias results because contrast scores might be larger when the compatible block precedes the incompatible one. As we were primarily interested in group differences, however, we kept compatibility order constant across participants as done in previous research (Egloff & Schmukle,
2002). Third, all evidence for a relation between implicit attitudes and the other variables of interest is correlational, hence, the direction of causation needs to be clarified in future studies using experimental and longitudinal designs. Forth, due to well-known gender differences concerning body dissatisfaction (Weinberger et al.,
2016) and due to the accompanying RCT on the efficacy of mirror exposure, which so far has mostly been studied in female populations (for an overview see Griffen et al.,
2018), participation was restricted to women, which might limit generalizability. Given that the marginalization of males in research in the field of eating disorders is problematic (Murray et al.,
2017), future studies should test replicability of these findings in a more heterogeneous sample comprising as well male participants. Furthermore, our sample consisted of treatment-seeking participants due to the accompanying RCT. However, this can be seen as a strength of the study, as there is strong evidence for the need to discriminate between treatment-seeking and non-treatment seeking persons with overweight and obesity, as treatment-seeking individuals might be more vulnerable for negative consequences of their weight (Vieira et al.,
2012). Fifth, as actual BMI might differ from participants’ perception of oneself being overweight (see e.g. Chang & Christakis,
2003), future studies should address as well self-perception of overweight and obesity. Finally, as this was the first study to use an implicit measure to assess self-related weight bias, a validation of the Body-SC-IAT including normative data is necessary to further test its use in clinical practice and longitudinal research. Importantly, as we did not to statistically control for the frequency of mental disorders as the higher prevalence of mental disorders in the overweight compared to the normal weight sample reflects naturally occurring differences (Baumeister & Ha,
2007; Kasen et al.,
2008), future studies should include clinical populations as control group (e.g. depressive sample) in order to disentangle the influence mental disorders might have on these implicit biases.
To conclude, this is the first study demonstrating the importance of self-related over general implicit weight biases as they might be directly linked to body dissatisfaction and dysfunctional eating behavior in individuals with overweight and obesity. Changes in these measures might be informative with respect to treatment success and targeting the schemata constituting implicit attitudes might complement treatment options for obesity.
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