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Enhancing self-esteem in adults with body dysmorphic symptoms: experimental testing and initial evaluation of a brief internet-based training

Published online by Cambridge University Press:  26 February 2024

Katharina Bosbach*
Affiliation:
University of Wuppertal, School of Human and Social Sciences, Department of Clinical Psychology and Psychotherapy, Wuppertal, Germany
Alexandra Martin
Affiliation:
University of Wuppertal, School of Human and Social Sciences, Department of Clinical Psychology and Psychotherapy, Wuppertal, Germany
Johannes Stricker
Affiliation:
University of Wuppertal, School of Human and Social Sciences, Department of Clinical Psychology and Psychotherapy, Wuppertal, Germany
Katrin Schoenenberg
Affiliation:
University of Wuppertal, School of Human and Social Sciences, Department of Clinical Psychology and Psychotherapy, Wuppertal, Germany
*
Corresponding author: Katharina Bosbach; Email: bosbach@uni-wuppertal.de
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Abstract

Background:

Low self-esteem is an important factor associated with body dysmorphic concerns. In treatment, self-esteem cannot always be adequately addressed. Internet-based interventions offer a low-threshold and cost-efficient possibility for treating body dysmorphic disorder (BDD).

Aims:

For this reason, we conducted two studies to explore the effectiveness of an internet-based intervention targeting improving self-esteem in adults with BDD symptoms.

Method:

The first study investigated the differential effects of a 1-week self-esteem training compared with a 1-week attention-focus training. Two hundred twenty adults with elevated body dysmorphic symptoms were randomly assigned to one of the two trainings. Our second study (n = 58 adults with body dysmorphic symptoms) evaluated an extended 2-week stand-alone self-esteem training.

Results:

In the first study, self-esteem in different domains (appearance, performance and social), self-focused attention, and BDD symptom severity improved in both groups. Other-focused attention only increased in the attention training group. Participants’ overall adherence was high. In the second study we observed significant improvements in self-esteem, BDD symptom severity, and other secondary outcomes, with additional improvements in most outcomes in the second week. Adherence was again high.

Conclusions:

Together, these findings show that a brief internet-based intervention may be a highly accepted and effective way of improving self-esteem in people suffering from BDD symptoms.

Type
Main
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of British Association for Behavioural and Cognitive Psychotherapies

Introduction

Self-esteem refers to a person’s positive or negative attitude toward themselves, representing an overall evaluation of their own value (Baumeister et al., Reference Baumeister, Campbell, Krueger and Vohs2003; Rosenberg, Reference Rosenberg1965). Individuals with low self-esteem are more inclined to experience themselves negatively across various situations (De Ruiter et al., Reference De Ruiter, van Geert and Kunnen2017). Accordingly, low self-esteem is linked to various mental health problems such as depression, obsessive-compulsive disorder, and eating disorders (Colmsee et al., Reference Colmsee, Hank and Bošnjak2021; Orth and Robins, Reference Orth and Robins2013; Rahman and Husain, Reference Rahman and Husain2009). Higher self-esteem, on the other hand, is overall beneficial for healthy adjustment and adaptation to everyday challenges (Orth and Robins, Reference Orth and Robins2022). For this reason, there are some approaches to increasing self-esteem in healthy populations and in those with mental health issues (Niveau et al., Reference Niveau, New and Beaudoin2021). Cognitive behavioural interventions, in particular, have shown moderate to large effect sizes in enhancing global self-esteem in adults (Kolubinski et al., Reference Kolubinski, Frings, Nikčević, Lawrence and Spada2018; Niveau et al., Reference Niveau, New and Beaudoin2021).

Self-esteem is particularly relevant to one’s appearance satisfaction (Frederick et al., Reference Frederick, Sandhu, Morse and Swami2016) and is a crucial factor in body dysmorphic disorder (BDD; Kuck et al., Reference Kuck, Cafitz, Bürkner, Hoppen, Wilhelm and Buhlmann2021). BDD is characterized by an excessive pre-occupation with at least one perceived flaw in physical appearance that is not or only minimally recognized by others. Individuals with BDD spend much time checking or masking their area of concern, comparing their appearance with others, or even using plastic surgery to correct the perceived defect (American Psychiatric Association, 2013). The impairments in psychosocial functioning and quality of life are severe (Kelly et al., Reference Kelly, Brault, Didie and Phillips2017). Triggered by various external or internal stimuli, negative appraisal of internal body image is at the centre of the cognitive behavioural model of BDD (Veale, Reference Veale2004; Veale and Neziroglu, Reference Veale and Neziroglu2010). Selective attention to the own negative body evaluation reinforces the relevance of appearance for self-evaluation. Negative appraisal of one’s appearance is a central feature of the disorder and is involved in its maintenance as it interacts with negative mood, safety behaviours and rumination (Veale, Reference Veale2004; Veale and Neziroglu, Reference Veale and Neziroglu2010). Low self-esteem is included among the risk factors of BDD (Kuck et al., Reference Kuck, Cafitz, Bürkner, Hoppen, Wilhelm and Buhlmann2021; Trzesniewski et al., Reference Trzesniewski, Donnellan, Moffitt, Robins, Poulton and Caspi2006). It can also be involved in the maintenance of the disorder or be one of the consequences of the pathology (Schmidt and Martin, Reference Schmidt and Martin2019; Schulte et al., Reference Schulte, Dietel, Wilhelm, Nestler and Buhlmann2021). In a meta-analysis, Kuck et al. (Reference Kuck, Cafitz, Bürkner, Hoppen, Wilhelm and Buhlmann2021) examine how strongly negative evaluations of physical appearance in BDD are associated with general feelings of unworthiness and low self-esteem. Across 25 studies, a moderate correlation of symptom severity with self-esteem was found (r = –.45), even when controlling for depressive symptoms (Kuck et al., Reference Kuck, Cafitz, Bürkner, Hoppen, Wilhelm and Buhlmann2021). Increasing self-esteem is a goal of established treatment manuals (e.g. Wilhelm et al., Reference Wilhelm, Phillips and Steketee2012). Yet, it is not explicitly addressed in a separate module there, but merely one aspect of advanced cognitive restructuring training (e.g. Wilhelm et al., Reference Wilhelm, Phillips, Didie, Buhlmann, Greenberg, Fama, Keshaviah and Steketee2014).

Cognitive behavioural therapy effectively reduces BDD symptoms (Harrison et al., Reference Harrison, La Fernández de Cruz, Enander, Radua and Mataix-Cols2016). Whether cognitive behavioural therapy also increases self-esteem in BDD is less clear. Thus far, only one randomized controlled study has assessed self-esteem as a secondary outcome. This study found an increase after the treatment (Rosen et al., Reference Rosen, Reiter and Orosan1995). Addressing low self-esteem more explicitly as a possible maintaining factor could help improve the treatment of BDD. Additionally, enhancing self-esteem in subclinical populations might protect against the worsening of symptomatology or, in at-risk groups, act as a protective factor to prevent the onset of the disorder (e.g. O’Dea and Abraham, Reference O’Dea and Abraham2000).

Despite the high impairment, only 39.9% of self-diagnosed adults with BDD in a German sample received mental health treatment (Schulte et al., Reference Schulte, Schulz, Wilhelm and Buhlmann2020). This low treatment rate is attributed to the fact that individuals with BDD perceive various barriers to treatment, such as shame, but also structural deficiencies (Bosbach et al., Reference Bosbach, Schoenenberg and Martin2023; McCausland et al., Reference McCausland, Paparo and Wootton2021; Schulte et al., Reference Schulte, Schulz, Wilhelm and Buhlmann2020). Internet-based interventions are independent of time and place and can be accessed relatively anonymously even without therapist contact. Therefore, they are proposed as a low-threshold therapy option to overcome perceived barriers (Andersson and Titov, Reference Andersson and Titov2014; Drüge et al., Reference Drüge, Buhlmann, Dietel, Hansmeier, Jäger, Dworakowski, Rück, Enander and Watzke2022). Internet-based cognitive behavioural therapy interventions decreased BDD symptom severity and improved quality of life in previous studies (Enander et al., Reference Enander, Andersson, Mataix-Cols, Lichtenstein, Alström, Andersson, Ljótsson and Rück2016; Wilhelm et al., Reference Wilhelm, Weingarden, Greenberg, Hoeppner, Snorrason, Bernstein, McCoy and Harrison2022).

The module-based structure of internet-based interventions offers the possibility to investigate the isolated effects of single modules or contents. Furthermore, a module-based structure allows testing different modules for their specific effect on certain outcomes. For this reason, in our first study (Study 1) we experimentally offer two modules of the internet-based intervention program imagin for BDD (Schoenenberg et al., Reference Schoenenberg, Bosbach, Baumeister, Küchler, Hartmann, Harrer, Ebert and Martin2023) separately and compare their effect on different outcome measures. In the self-esteem module, participants learn about the concept and role of an unstable self-esteem in BDD and explore additional facets of self-esteem beyond appearance. Participants will examine their own ideals and practise intentional self-care. We suggest that the 1-week self-esteem training increases different domains of state self-esteem to a greater extent than a 1-week attention training. At the same time, only the attention training, which instructs participants to flexibly redirect their attention from internal processes towards experiencing the external environment, should change the focus of attention. Accordingly, we expect that participants should show lower self-focused and higher other-focused attention after the training. For both trainings, we examine the change in BDD symptom severity.

It has been demonstrated that self-esteem increased through intervention in non-clinical samples drawn from the general population, in people with increased symptoms but without a mental health diagnosis and in clinical samples consisting of people with any kind of psychiatric condition or disorder (Niveau et al., Reference Niveau, New and Beaudoin2021). Approaches targeting self-esteem effectively enhanced body satisfaction among adolescents in preventive settings (e.g. Norwood et al., Reference Norwood, Murray, Nolan and Bowker2011). However, to the best of our knowledge, no stand-alone treatment is available to specifically modify self-esteem in adults with clinical symptoms of BDD. Considering the central role of low self-esteem in BDD and the potential of the internet format, we investigate the effect of the self-esteem training in an elaborated format as a stand-alone treatment in Study 2. Therefore, we complement the 1-week training with a second week to address self-attacking thoughts and foster the development of self-serving thoughts. We expect a positive effect of the 2-week self-esteem training on different domains of state self-esteem and BDD symptom severity. In addition, we examine whether the extension of the intervention leads to showing incremental symptom improvements in the second week of the intervention.

Study 1: Method

In a two-armed parallel randomized controlled trial, participants received a 1-week internet-based training module on either self-esteem or attention focus. Both groups completed online questionnaires before, right after, and 1 week after the training.

Participants

We recruited participants through advertisements in the university and social media. Participants had to be German-speaking, adult (i.e. ≥18 years of age), and present with dysmorphic symptoms (defined as a sum score ≥14 in the Body Dysmorphic Symptoms Inventory; FKS; Buhlmann et al., Reference Buhlmann, Wilhelm, Glaesmer, Brähler and Rief2009). The cut-off value of 14 has been demonstrated to best distinguish between a BDD- and a control group (sensitivity of 0.87, 1 − specificity of 0.07, area under the ROC curve of 0.96; Buhlmann et al., Reference Buhlmann, Wilhelm, Glaesmer, Brähler and Rief2009). Individuals reporting current psychotherapy or one of pre-defined clinical diagnosis (addiction, schizophrenia, borderline personality disorder and severe depression) were excluded from participation. Additionally, we excluded participants with suicidal tendencies (those who indicated having attempted suicide in the past or having experienced more than sparse suicidal thoughts in the last weeks). Eligibility was checked in a short online screening questionnaire. An independent employee of the university department conducted randomization using block randomization with a block size of eight. Figure 1 shows the flowchart for the participant selection. The final sample consisted of 220 participants, who completed the questionnaire before the training. The predominantly female (86.81%), educated (80.00% at least university-entrance diploma) participants were between 18 and 66 years old (M = 28.87; SD = 9.28). Participants’ mean BDD symptom severity was moderate to high (FKS: M = 27.1; SD = 8.1). On average, the participants reported 2.34 (SD = 1.19) perceived areas of concern, with skin (51.4%), nose (26.8%) and chest (34.5%) being the most affected, followed by hair (19.1%) and muscles (20.5%). Table 1 displays the detailed sample characteristics separated according to the intervention conditions.

Figure 1. The flow of participants (Study 1).

Table 1. Sociodemographic data of participants in self-esteem and attention training condition of Study 1 and the self-esteem training of Study 2

Outcome measures

Primary outcomes

The first primary outcome was self-esteem measured with the revised German version of the State Self-Esteem Scale (SSES; Heatherton and Polivy, Reference Heatherton and Polivy1991; Rudolph et al., Reference Rudolph, Schröder-Abé and Schütz2020). The SSES is a multi-dimensional self-assessment questionnaire assessing fluctuations in self-esteem. The German SSES consists of 15 items assigned to three subscales: appearance, performance, and social self-esteem. Participants rate each item on a 5-point Likert scale ranging from 1 (= not at all) to 5 (= extremely). The German SSES has shown good validity, reliability and change-sensitivity in previous studies (Rudolph et al., Reference Rudolph, Schröder-Abé and Schütz2020). In Study 1, the internal consistency of all three domains at the three time points was satisfactory (α ≥ .73; Table 2).

Table 2. Descriptive statistics of Study 1 and Study 2

FKS, Body Dysmorphic Symptoms Inventory; SSES, State Self-Esteem Scale; FAQ, Focus of Attention Questionnaire; STADI, State-Trait-Angst-Depressions-Inventory; asignificant group differences at baseline; α, Cronbach’s alpha.

The second primary outcome was the focus of attention assessed with the Focus of Attention Questionnaire (FAQ; Woody, Reference Woody1996). Higher values indicate higher self-focused attention on one subscale and higher other-focused attention on the other subscale, both related to a specific situation. In the instruction we asked individuals to recall a challenging social situation of the past week and to answer the questions with respect to that situation. Participants report their agreement to each of the 10 items on a 5-point Likert scale ranging from 1 (= not at all) to 5 (= totally). The FAQ has shown acceptable psychometric properties (Woody, Reference Woody1996). Internal consistency in the present work was α ≥ .66 for self-focused and α ≥ .62 for other-focused attention. See Table 2 for more details.

Secondary outcomes

The FKS (Buhlmann et al., Reference Buhlmann, Wilhelm, Glaesmer, Brähler and Rief2009) measures body dysmorphic symptom severity. Participants respond to the items using 5-point Likert scales ranging from 0 to 4, each scale accompanied by distinct verbal anchors. We utilize a sum score of 16 items, with higher values indicating greater symptom severity. There are two additional items to identify eating disorder symptoms and body areas of concern (Buhlmann et al., Reference Buhlmann, Wilhelm, Glaesmer, Brähler and Rief2009). We assessed dysthymia and euthymia with the two subscales of the State-Trait-Angst-Depressions-Inventory (STADI; Laux et al., Reference Laux, Hock, Bergner-Köther, Hodapp and Renner2013) each summing up five items rated on a 4-point scale from 1 to 4. Cronbach’s alpha values for secondary outcomes are displayed in Table 2.

Intervention and active control conditions

Two unguided 1-week internet-based trainings were compared regarding their effect on different mental health-related outcomes. Both trainings consist of five sessions, with each expected to take about 20 minutes. The trainings were original components of a comprehensive guided web-based cognitive behavioural treatment for BDD (imagin; Schoenenberg et al., Reference Schoenenberg, Bosbach, Baumeister, Küchler, Hartmann, Harrer, Ebert and Martin2023). The imagin program is theoretically based on the cognitive behavioural model by Veale and Neziroglu (Reference Veale and Neziroglu2010). The program aims to achieve changes through the relevant mechanisms and factors (e.g. cognitive processes, attention and dysfunctional behaviour). Both training modules commenced with psychoeducation, followed by the establishment of a connection to individual experiences through guided self-observation, followed by behavioural modification (see Table S1 in the Supplementary material for a content overview). We implemented the trainings in LimeSurvey 4.3 (LimeSurvey GmbH, 2003) and provided additional working sheets for download.

Self-esteem

The self-esteem training started with a psychoeducational unit on the relationship between self-critical thoughts, lack of self-care, and the development of unstable self-esteem. This unit explained how discrepancies between a person’s self-perceptions and ideal-self cause negative cognitions and emotions. The next day, participants discovered their self-critical thoughts, ideals and inner rules. In further exercises, participants collected additional resources on self-esteem and practised intentional self-care for 3 days. The training finished with an overall reflection of the learned competencies.

Attention

The attention training began with a psychoeducational unit on the detrimental effect of self-focused attention. The following days, participants observed their attention focus using protocols in their everyday life. With the help of a guided mindful walk, the participants practiced consciously directing their focus of attention towards the environment. Participants were then asked to intentionally focus their attention externally on the situation as part of a behavioural experiment. The training closed with a reflection on the learned competencies.

Procedure

After providing their informed consent, included participants received daily emails with access to online questionnaires and assigned training content. The training was unguided and participants did not receive feedback to their answers. However, an emergency contact was provided for all participants. Pre-, post- and follow-up measurements were assessed online at intervals of 1 week from each other.

Data analysis

First, we tested between-group baseline differences in primary and secondary outcomes, and in sociodemographic characteristics using independent t-tests or χ2-tests. Next, we compared the values of participants dropping out of the training with training completers (defined as participants who completed the entire 5 days of training). We included all randomized participants of whom at least pre-treatment values were available in the intention-to-treat analyses (ITT-analysis). We did not impute post-treatment or follow-up data to prevent bias in the results (e.g. Chakraborty and Gu, Reference Chakraborty and Gu2009). To evaluate the intervention, we estimated a linear mixed model (LMM) for each outcome. This approach includes all available data from participants at the three time points of assessment, appropriately accounting for missing data (Magezi, Reference Magezi2015). Inter-individual differences between participants were included in the model as random intercept. We further included time point (pre-, post-, follow-up), intervention group (self-esteem, attention), the baseline value of the particular outcome, and interaction of time point and intervention group as fixed effects. A significant interaction between the time point and intervention group indicates differences between the two intervention groups regarding changes in the respective outcome over time. In the instance of a significant interaction, specific contrasts were calculated based on the models to explicitly test for group differences in outcomes at the two time points (post-, follow-up). To examine significant changes over time in more detail, effects within groups were evaluated using the estimated trends of the respective model. This approach estimates the linear change in an outcome per measurement time point (i.e. the slope). To consider pre–post treatment effects, we additionally report the estimated trend for LMMs excluding the follow-up time point. We calculated all effect sizes using the effectsize 0.5.0 package (Ben-Shachar et al., Reference Ben-Shachar, Lüdecke and Makowski2020). Additionally, we used IBM SPSS statistics version 28.0 for descriptive and baseline analyses (IBM Corporation, 2021) and JASP 0.17.1.0 (JASP Team, 2022) for the LMMs.

Results

Baseline and drop-out analysis

Participants in the self-esteem training (n = 112) did not differ in sociodemographic data from participants in the attention training (n = 108; all p ≥ .082). The baseline values of outcome measures are displayed in Table 2. Randomized participants in the two conditions differed only in their FAQ scores, with the self-esteem group scoring higher on the self-focused attention scale, t 218 = 2.26, p = .025, d = 0.31. We adjusted for baseline values in later LMMs. Overall, n = 166 participants accessed all five training days, and n = 140 answered the post-treatment questionnaire. Detailed information on patient adherence can be found in Table S2 in the Supplementary material. To identify predictors of treatment adherence, we compared the n = 166 completers with n = 54 (24.54%) persons who dropped out during the intervention. Completers showed higher baseline euthymia, t 218 = 2.13, p = .035, d = 0.33. There were no other differences in baseline or sociodemographic characteristics (all p ≥ .106). The drop-out rate did not differ between treatment conditions, χ2(1) = .61, p = .531.

Primary outcomes: self-esteem and focus of attention

Self-esteem

The detailed results of the LMMs for all primary outcomes are displayed in Tables S3 to S7 in the Supplementary material. Figure S1 contains a graphical representation of the results regarding self-esteem. Appearance self-esteem (SSES-appearance) increased over the three points of measurement for participants in both the self-esteem training (B = 0.17, p < .001, d = .29) and the attention training (B = 0.20, p < .001, d = .33). For the within-group comparisons, B represents the average change in the analysed outcome per measurement time point (slope). Detailed within-group intervention effects (estimated trends) for primary and also secondary outcomes assessed at pre-, post- and follow-up can be found in Table S11 in the Supplementary material. In an additional pre–post comparison excluding the follow-up time point, the increase was significant with small effect sizes in both the self-esteem (B = 0.32, p < .001, d = 0.36) and attention groups (B = 0.32, p < .001, d = 0.34). The time point × intervention group interaction in the LMM was not significant (B = –0.02, p = .491).

Estimated trends showed a significant increase of the SSES-performance in the self-esteem training (B = 0.14, p < .001, d = 0.23) and in the attention training (B = 0.09, p = .006, d = 0.14). The pre–post intervention effect was significant for self-esteem (B = 0.18, p < .001, d = 0.19), but not for attention training (B = 0.09, p = .078, d = 0.09). However, there was no significant time point × intervention group effect (B = 0.03, p = .226).

In the self-esteem training improvement of social self-esteem (SSES-social) was B = 0.13, p < .001 with a small effect size (d = 0.19), and the pre–post intervention effect was also significant (B = 0.26, p < .001 d = 0.25). In the attention training, social self-esteem increased with a larger effect size over all three points of measurement (B = 0.27, p < .001, d = 0.40), and improved in an additional pre–post comparison (B = 0.37, p < .001, d = 0.34). The time point × intervention group interaction for social self-esteem reached statistical significance (B = –0.07, p = .003), confirming a different change in the outcome between the two intervention groups. The specific contrasts indicated lower improvement of social self-esteem in participants of the self-esteem training compared with those of the attention training at post-measure (B = 0.12, p = .016, d = 0.32) and at 1-week follow-up (B = 0.22, p < .001, d = 0.39). For those between-group comparisons, B is the unstandardized estimator of the specific contrast for the respective time point.

Attention

Over the three points of measurement, self-focused attention decreased in both, the self-esteem training group (B = –0.78, p < .001, d = –0.20) and the attention training group (B = –1.08, p < .001, d = –0.27). The LMM analysis for the self-focused attention scale of the FAQ did not reveal a significant time point × intervention group interaction effect (B = 0.15, p = .305). Furthermore, pre–post comparisons showed significant within effects in both trainings (self-esteem: B = –1.37, p < .001, d = –0.21; attention: B = –2.05, p < .001, d = –0.29).

While there was no within-subject effect of other-focused attention in the self-esteem group over time (B = –0.06, p < .733, d = –0.02), other-focused attention increased in the attention group over all three points of measurement (B = 0.50, p = .004, d = 0.15) and in pre–post intervention comparison (B = 1.39, p < .001, d = 0.25). In line with this, the time point × intervention group interaction was significant (B = –0.28, p = .022). Specific contrast analysis indicated a higher increase in the attention training than in the self-esteem training at the post (B = 0.45, p = .049, d = 0.26) and follow-up measurement (B = 0.89, p = .004, d = 0.31).

Secondary outcomes: body dysmorphic symptom severity, dysthymia and euthymia

The body dysmorphic symptom severity decreased significantly over the three points of measurement in the self-esteem training (B = –3.07, p < .001, d = –0.49) and the attention training (B = –3.35, p < .001, d = –0.52). There was no specific effect of one of the trainings for the FKS, with non-significant time point × intervention group interaction in the LMM (B = 0.14, p = .554). Symptom severity decreased with medium effect sizes in both the self-esteem (B = –4.87, p < .001, d = –0.46) and attention groups (B = –5.38, p < .001, d = –0.48) in the pre–post comparison.

Both STADI scales did not show changes over time in either condition (all p ≥ .304). Time point × intervention group interaction revealed no specific intervention effect for dysthymia (B = –0.02, p = .891), and euthymia (B = –0.05, p = .755). Tables S8 to S10 (Supplementary material) contain the complete results of the LMM for all secondary outcomes assessed over the three measurement points.

Discussion

In our first study, we assessed two 1-week internet-based trainings with distinct thematic focus in adults with dysmorphic concerns. Both trainings were associated with small to medium improvements in appearance, performance and social self-esteem, self-focused attention, and BDD symptom severity. Other-focused attention and social self-esteem increased more strongly in the attention training. Participants in both groups showed high adherence and drop-out rates were relatively low.

Both trainings demonstrated improvements in the three domains of state self-esteem. Effect sizes were small, but nearly comparable to other internet-based interventions assessing self-esteem (e.g. Bruhns et al., Reference Bruhns, Lüdtke, Moritz and Bücker2021). The fact that the attention training also resulted in improved self-esteem aligns with the plausibility of the Self-Organizing Self-Esteem Model. The model describes the three levels of trait self-esteem, state self-esteem, and self-experiences. Interactively self-esteem develops based on experience, but, in turn, influences how a person evaluates situations (De Ruiter et al., Reference De Ruiter, van Geert and Kunnen2017). It seems plausible that performing practical exercises in the attention training and achieving success were positive self-experiences and, thus, changed the state self-esteem. This explanation is supported by the fact that the performance self-esteem in the attention group was not significantly increased at post-intervention, but only at follow-up. Experienced successes during training may have translated into more positive self-experiences during the week following the training and reflected in improved performance self-esteem. The results align with findings, in which internet-based CBT without a specific self-esteem module improved self-esteem as a secondary outcome (e.g. Bruhns et al., Reference Bruhns, Lüdtke, Moritz and Bücker2021). Further unexpectedly, social self-esteem increased even more in the attention group participants than in those who received the self-esteem training. This may indicate that, to improve social self-esteem, it is more helpful to experience success in social situations (behavioural experiment in attention training) than to treat oneself as valuable outside of the social context (intentional self-care in self-esteem training).

In line with our expectations, the attention training increased other-focused attention more than the self-esteem training did. This effect was not found for self-focused attention, which decreased in both groups. This might be due to the content of the self-esteem training, on the one hand, and the items of self-focused attention in FAQ, on the other hand. Exploring ‘facets of self-esteem’ and conducting intentional self-care are active and resource-oriented tasks that might decrease self-focused attention as it is operationalized in FAQ (e.g. focusing on level of anxiety, focusing on past social failures). At this point, the results regarding the FAQ should be interpreted with caution due to weak internal consistencies. Possibly, the found effects can be attributed exclusively to individual items.

In addition, we found that both brief trainings reduced body dysmorphic symptom severity. Former research conducted in both face-to-face and online settings within the context of body image concerns has shown that targeted treatments, specifically addressing perfectionism, can result in improvements in body image and BDD symptom severity (Johnson et al., Reference Johnson, Egan, Andersson, Carlbring, Shafran and Wade2019; Robinson and Wade, Reference Robinson and Wade2021). Transdiagnostic treatment targeting underlying factors of emotional disorders also improved BDD symptoms (Mohajerin et al., Reference Mohajerin, Bakhtiyar, Olesnycky, Dolatshahi and Motabi2019). Considering that both low self-esteem and attention focus are recognized as maintaining factors of BDD, it is not surprising that targeting one of them leads to improvements in overall symptomatology (Veale, Reference Veale2004; Veale and Neziroglu, Reference Veale and Neziroglu2010). However, it is remarkable that this process seems to occur already after a 1-week training. To summarize, trainings focusing on an isolated topic seem to improve specific outcomes and contribute to overall improvement of body dysmorphic symptoms. To further investigate the contribution of individual modules within a comprehensive treatment program, dismantling studies should be conducted in the future.

In addition to these promising results immediately after the training, the improvements in self-esteem, attention focus, and symptom severity remained significant at short-term follow up, 1 week after completion of the training. Moreover, both trainings were well accepted by participants. The treatment drop-out of 24.54% is comparable to guided (Fernandez et al., Reference Fernandez, Salem, Swift and Ramtahal2015) and low compared with other unguided internet-based interventions (Christensen et al., Reference Christensen, Griffiths and Farrer2009). Adherence with an average of more than four out of five active training days, was additionally high (Musiat et al., Reference Musiat, Johnson, Atkinson, Wilksch and Wade2022).

While the lack of a waiting control group limits the strength of evidence, the presence of medium effect sizes unlikely for BDD symptom severity renders the possibility of exclusively time-related improvement. The absence of changes in euthymia and dysthymia also stands against a pure time effect.

Overall, these results indicate the potential for low-threshold and effective treatment of individuals with BDD. To exploit this potential, the second study examined an elaborated version of the self-esteem training as a stand-alone intervention for adults with BDD symptoms. We supplemented the content focus of the 1-week training on strengthening diverse self-esteem facets, incorporating further cognitive restructuring by questioning self-attacking and developing self-serving thoughts. The main goals were to examine the training’s acceptability and effectiveness, and to examine whether a second week of training shows an additional benefit to clinical outcomes.

Study 2: Method

As part of a pre–post within-subject design, participants with distinct BDD symptoms underwent a 2-week version of the unguided internet-based training for self-esteem. The assessment took place before the program, after the first week, and right after the second week of training.

Participants

We recruited participants through university advertisements, social media, and 1000 letterbox flyers. Eligibility was checked in an online screening questionnaire. Individuals had to meet the following criteria for participation: be German-speaking, adult (i.e. ≥18 years of age), and exhibit dysmorphic symptoms (sum score ≥14 in FKS). Individuals currently undergoing psychotherapy, having been diagnosed with addiction, schizophrenia, borderline personality disorder or bipolar disorder, displaying suicidal tendencies (for assessment, see Study 1) or reporting severe depression in Patient Health Questionnaire (PHQ-8 > 14; Kroenke et al., Reference Kroenke, Spitzer and Williams1999) were not eligible to participate. After participating in a short experimental investigation (effect of an information video on the acceptance of the web-based treatment; Bosbach et al., Reference Bosbach, Schoenenberg and Martin2023), participants received an automated invitation to the self-esteem training if inclusion criteria were met.

Figure S2 in the Supplementary material shows the flow of participants. After examining 203 participants for eligibility, 73 of them gained access to the self-esteem training. Fifty-eight participants completed the pre-intervention assessment and formed the analysed sample. This sample was predominantly female (77.59%), well-educated (89.66% with at least a university-entrance diploma), and between 19 and 58 years old (M = 31.5; SD = 10.6). The mean BDD symptom severity was moderate to high (FKS: M = 25.7; SD = 9.2). Participants reported an average of 2.09 (SD = 1.44) perceived flaws. Most commonly, the concerns were related to skin (48.3%), hair (39.7%), chest (36.2%) and nose (31.0%). Detailed sample characteristics can be found in Table 1.

Outcome measures

Outcome measures of self-esteem, body dysmorphic symptom severity, euthymia and dysthymia were similar to those in Study 1. Again, we utilized the appearance, performance and social self-esteem subscales of the SSES as primary outcome measures. Following the results from Study 2, we now capture symptom severity measured with FKS as a primary outcome. The two STADI affect scales were again used as secondary outcome measures. Table 2 includes all internal consistencies.

Intervention

The implementation of content was parallel to Study 1. Besides the content of the 1-week self-esteem training, the second week focused on further improvements in self-esteem by additionally questioning self-attacking thoughts and developing friendly and self-serving thoughts based on one’s individual resources. The training closed with an overall reflection of the content and techniques learned (see Table S1 in the Supplementary material). The 2-week version of the self-esteem training consists of 10 sessions, with each unit intended to take approximately 20 minutes.

Procedure

Once all participants provided their informed consent, they were sent daily emails granting access to the online questionnaires and the self-esteem training. Mid- and post-assessments took place 1 and 2 weeks after the baseline.

Data analysis

First, we conducted drop-out analysis using independent t-tests or χ2-tests to compare treatment drop-outs with training completers (i.e. participants who signed up at all of the ten training days). Participants who provided at least pre-treatment data were included in the analysis (ITT-analysis). As in Study 1, we did not impute missing data and estimated LMMs for any outcome. Individual differences between participants were again included as random effects, and we included time point (pre-, mid-, post-) and the baseline value of the respective outcome as fixed effects. To examine the additional effect of the second intervention week on the outcomes, we additionally report the estimated trend for LMMs including only mid- and post-time points. For the data analysis, we again used SPSS version 28.0 (IBM Corporation, 2021), JASP 0.17.1.0 (JASP Team, 2022), and the effectsize 0.5.0 package (Ben-Shachar et al., Reference Ben-Shachar, Lüdecke and Makowski2020).

Results

All descriptive outcome values at the three points in time are reported in Table 2. With n = 41 training completers (taking part in every day of training), the drop-out rate was 29.31%. Another eight participants only missed one training day (for more details on adherence, see Table S2 in the Supplementary material). While completers showed higher baseline social self-esteem, t 56 = 2.25, p = .030, d = 0.72, than those who dropped out, there were no other differences in baseline outcomes or sociodemographic characteristics (all p ≥ .201).

LMMs conducted for each outcome revealed significant improvements in all primary and secondary outcomes over the three measurement points pre-, mid- and post-intervention. The estimated trends are displayed in Table 3. The three domains of self-esteem (appearance: d = 0.47, performance: d = 0.36, and social: d = 0.53) increased significantly (all p < .001). Furthermore, BDD symptom severity decreased with a medium effect (B = –2.53, p < .001, d = –0.67). While euthymia increased with a medium effect (p < .001, d = 0.45), dysthymia decreased with a small effect (p = .035, d = –0.21). Tables S12 to S17 (see Supplementary material) contain the LMMs fixed effects for all outcomes over the three measurement points.

Table 3. Within-group intervention effects (estimated trends) for pre-, mid- and post-intervention assessment of Study 2

FKS, Body Dysmorphic Symptoms Inventory as an indicator of symptom severity; SSES, State Self-Esteem Scale; STADI, State-Trait-Angst-Depressions-Inventory; SE, standard error; d.f., degrees of freedom; CI, confidence interval.

Comparisons of mid- and post-assessment revealed significant additional improvements after the second week in appearance (p = .030, d = 0.33) and social (p = .012, d = 0.37) self-esteem, BDD symptom severity (p < .001, d = –0.60), and euthymia (p = .030, d = 0.33). There was no additional benefit of the second week for performance self-esteem (p = .056, d = 0.28) or dysthymia (p = .378, d = –0.13). The complete estimated trends of the second week of training are displayed in Table S18 in the Supplementary material.

Discussion

We conducted a 2-week self-esteem training for adults with body dysmorphic symptoms. The training improved all three domains of state self-esteem. In addition, BDD symptom severity and dysthymic mood decreased while euthymic mood increased. The second training week additionally improved all of the clinical outcome measures except performance state self-esteem and dysthymic mood. Extension through an additional intervention week can thus be considered beneficial.

The medium effect sizes found for improvements in state self-esteem align with the effect sizes reported by Niveau et al. (Reference Niveau, New and Beaudoin2021) in a meta-analysis on self-esteem changes of various online interventions (d = 0.24). It is promising and expected that an intervention focusing on self-esteem improves BDD symptom severity as well. In this study, even a medium effect size was achieved. According to the Self-Organizing Self-Esteem Model, higher self-esteem contributes to more positive processing of the self in everyday experiences (De Ruiter et al., Reference De Ruiter, van Geert and Kunnen2017). Considering the role of self-esteem in the maintenance of BDD, the improvement in self-esteem over time may have caused changes in symptomatology. A more positive evaluation of the self may have led to higher appearance self-esteem ratings. The increases in social and performance-related self-esteem may suggest that individuals attribute less importance to their appearance for self-esteem. As this is a desired effect of the training, in future research, the level of self-esteem and self-esteem contingencies should be examined, for example, using the Contingencies of Self-Worth Scale (Crocker et al., Reference Crocker, Luhtanen, Cooper and Bouvrette2003).

This study’s drop-out rate of 29.31% was comparable to studies using guided e–therapy (Fernandez et al., Reference Fernandez, Salem, Swift and Ramtahal2015) and lower than in other unguided internet-based interventions for body image disorders (e.g. Geraghty et al., Reference Geraghty, Wood and Hyland2010). The adherence was remarkably high, with 84% of the participants accessing at least nine of the 10 training days (Musiat et al., Reference Musiat, Johnson, Atkinson, Wilksch and Wade2022). Even though the study was a within-subject design without a control condition, the medium effect sizes for improving BDD symptom severity are notable considering the short intervention duration.

General discussion and conclusion

Overall, Study 1 showed promising effects of two short internet-based trainings. Both trainings were well accepted by participants and improved relevant outcomes such as self-esteem, attention focus, and BDD symptom severity. The effects persisted also 1 week after the brief training. We could confirm differential effects of the attention-focus and self-esteem training only to a limited extent. Self-esteem increased, and self-focused attention decreased in both interventions. Although the content of the two trainings does not overlap, and they explicitly address different mechanisms, the impact of an intervention is not restricted to one outcome. Complex inter-relationships, such as those suggested by the cognitive behavioural model of BDD (Veale, Reference Veale2004; Veale and Neziroglu, Reference Veale and Neziroglu2010) or the Self-Organizing Self-Esteem Model (De Ruiter et al., Reference De Ruiter, van Geert and Kunnen2017), lead to treatment mechanisms that we do not yet understand well enough. Our study does not assess whether directly addressing self-esteem has a particular beneficial effect, e.g. in terms of the long-term outcomes. The differential effects of particular modules or trainings should be further investigated, for example by conducting dismantling studies to develop optimal treatment manual compositions. For example, one could conduct complete therapy programs with and without a self-esteem module or alter the placement of the self-esteem module within the therapy.

Considering self-esteem as a crucial factor in BDD explicitly addressing it seems valuable. For this reason, we extended the training to a 2-week stand-alone training with additional content focusing on restructuring negative thoughts about oneself. Study 2 replicated the improvements in three domains of self-esteem and BDD symptoms, and showed positive effects of the self-esteem training for euthymia and dysthymia. Furthermore, we confirmed the additional benefit of the second week with respect to most outcomes. The effect sizes regarding observed changes in self-esteem and in body dysmorphic symptoms descriptively exceeded those of the 1-week training in Study 1.

Due to the structure of our sample, the results should be interpreted primarily for female, younger and educated individuals with elevated BDD symptoms. In the reported studies, we did not examine clinical samples, but individuals with moderate to high baseline BDD symptom severity. The internet-based self-esteem trainings showed positive results in these samples. Self-esteem may constitute a risk factor for the development and maintenance of BDD. The self-esteem training may thus have the potential to contribute to prevention in at-risk groups or may prevent the onset of the full disorder (Kuck et al., Reference Kuck, Cafitz, Bürkner, Hoppen, Wilhelm and Buhlmann2021). Even though the FKS (Buhlmann et al., Reference Buhlmann, Wilhelm, Glaesmer, Brähler and Rief2009) specifically assesses symptoms of BDD, it is plausible that individuals in our sample may also express concerns related to body shape and body dissatisfaction. This may also be because around one-third of individuals with BDD also receive a lifetime diagnosis of eating disorders (Ruffolo et al., Reference Ruffolo, Phillips, Menard, Fay and Weisberg2006). Previous work using structural equation models shows that BDD symptoms are best classified together with eating disorder symptoms in a category of body image disorder (Hartmann et al., Reference Hartmann, Staufenbiel, Bielefeld, Buhlmann, Heinrichs, Martin, Ritter, Kollei and Grocholewski2020). An examination of the internet-based training for self-esteem in people with other body image related disorders, such as eating disorders, could be interesting in the future because self-esteem is central to their etiology, too (Colmsee et al., Reference Colmsee, Hank and Bošnjak2021; Hartmann et al., Reference Hartmann, Thomas, Greenberg, Matheny and Wilhelm2014).

In both studies participants showed low drop-out, good adherence, and relatively high rates of training uptake despite multiple known perceived barriers for treatment in BDD (McCausland et al., Reference McCausland, Paparo and Wootton2021; Schulte et al., Reference Schulte, Schulz, Wilhelm and Buhlmann2020). There is some supporting evidence that positive and resource-oriented intervention content leads to less drop-out in unguided internet-based interventions for body dissatisfaction (Geraghty et al., Reference Geraghty, Wood and Hyland2010). Therefore, offering low-threshold internet-based training focusing on a more general and resource-oriented topic could potentially motivate individuals with BDD to obtain psychotherapeutic help. In a stepped-care model, they may receive access to more comprehensive treatment alternatives later. Motivation to take up psychotherapy may be higher if the first training has already brought improvements. Future research to examine the effects of the self-esteem intervention in BDD thus seems reasonable to exploit the potential of our training fully. It would be of interest to evaluate both the longer-term effects of this stand-alone intervention and its effect on readiness for more comprehensive therapy. In addition to clinical intervention outcomes, engagement, and user behaviour (e.g. usage times) should be measured carefully and reported. It might also be of interest to afford elevated consideration to self-esteem in established therapy programs and to examine whether this exerts a beneficial impact on levels of acceptance, adherence, or even treatment efficacy. Furthermore, future research should explore strategies to engage individuals with BDD who are hard to reach due to sociodemographic reasons and explore the feasibility and efficacy of resource-oriented self-esteem training in these samples.

The limitations of the present pilot trials should be addressed in future pre-registered studies. For better generalization to clinical samples and distinction to primary eating disorders, clinical diagnostic interviews and clinician assessments of symptoms should be conducted. Additionally, more heterogeneous samples in terms of sociodemographic data should be collected in future research. In this process, it should also be checked whether the improvements are also reflected at the trait level of self-esteem. In addition, inactive or non-specific control groups would control for non-specific or time-only effects.

In summary, a 1-week internet-based self-esteem training and an attention training improved self-esteem and self-focused attention. Thus, mechanisms of change should be further explored. The second study emphasizes that a brief stand-alone internet-based training focusing on self-esteem improves different domains of state self-esteem and alleviates BDD symptoms. This intervention can potentially serve as an accessible, highly accepted, and effective method to enhance self-esteem in adults affected by BDD.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S1352465824000110

Data availability statement

Data are available on request from the authors.

Acknowledgements

This project will be part of Katharina Bosbach’s dissertation.

Author contributions

Katharina Bosbach: Conceptualization (equal), Data curation (equal), Formal analysis (equal), Investigation (equal), Methodology (equal), Software (equal), Validation (equal), Visualization (equal), Writing – original draft (equal); Alexandra Martin: Conceptualization (equal), Methodology (equal), Resources (equal), Supervision (equal), Validation (equal), Writing – review & editing (equal); Johannes Stricker: Data curation (equal), Formal analysis (equal), Validation (equal), Writing – review & editing (equal); Katrin Schoenenberg: Conceptualization (equal), Investigation (equal), Methodology (equal), Project administration (equal), Supervision (equal), Validation (equal), Visualization (equal), Writing – review & editing (equal).

Financial support

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Competing interests

The authors declare none.

Ethical standards

The research (both studies) conformed to the Declaration of Helsinki and the Ethics Committee of the University of Wuppertal approved the studies (ref. no. MS/AH 200615 for Study 1, ref. no. MS/BBL 210510 for Study 2). Participants gave informed consent to participate in the study and for the results to be published.

References

American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders: DSM-5 (5th edn). American Psychiatric Publishing. https://doi.org/10.1176/appi.books.9780890425596 Google Scholar
Andersson, G., & Titov, N. (2014). Advantages and limitations of internet-based interventions for common mental disorders. World Psychiatry, 13, 411. https://doi.org/10.1002/wps.20083 CrossRefGoogle ScholarPubMed
Baumeister, R. F., Campbell, J. D., Krueger, J. I., & Vohs, K. D. (2003). Does high self-esteem cause better performance, interpersonal success, happiness, or healthier lifestyles? Psychological Science in the Public Interest, 4, 144. https://doi.org/10.1111/1529-1006.01431 CrossRefGoogle ScholarPubMed
Ben-Shachar, M., Lüdecke, D., & Makowski, D. (2020). Effectsize: estimation of effect size indices and standardized parameters. Journal of Open Source Software, 5, 2815. https://doi.org/10.21105/joss.02815 CrossRefGoogle Scholar
Bosbach, K., Schoenenberg, K., & Martin, A. (2023). Development and evaluation of an acceptance-facilitating intervention for an internet-based cognitive behavioral self-esteem training for adults with body dysmorphic symptoms. Journal of Obsessive-Compulsive and Related Disorders, 37, 100798. https://doi.org/10.1016/j.jocrd.2023.100798 CrossRefGoogle Scholar
Bruhns, A., Lüdtke, T., Moritz, S., & Bücker, L. (2021). A mobile-based intervention to increase self-esteem in students with depressive symptoms: randomized controlled trial. JMIR MHealth and UHealth, 9, e26498. https://doi.org/10.2196/26498 CrossRefGoogle ScholarPubMed
Buhlmann, U., Wilhelm, S., Glaesmer, H., Brähler, E., & Rief, W. (2009). Fragebogen körperdysmorpher Symptome (FKS): Ein Screening-Instrument. Verhaltenstherapie, 19, 237242. https://doi.org/10.1159/000246278 CrossRefGoogle Scholar
Chakraborty, H., & Gu, H. (2009). A mixed model approach for intent-to-treat analysis in longitudinal clinical trials with missing values. RTI International. https://doi.org/10.3768/rtipress.2009.mr.0009.0903 CrossRefGoogle Scholar
Christensen, H., Griffiths, K. M., & Farrer, L. (2009). Adherence in internet interventions for anxiety and depression. Journal of Medical Internet Research, 11, e13. https://doi.org/10.2196/jmir.1194 CrossRefGoogle ScholarPubMed
Colmsee, I.-S. O., Hank, P., & Bošnjak, M. (2021). Low self-esteem as a risk factor for eating disorders. Zeitschrift Für Psychologie, 229, 4869. https://doi.org/10.1027/2151-2604/a000433 CrossRefGoogle Scholar
Crocker, J., Luhtanen, R. K., Cooper, M. L., & Bouvrette, A. (2003). Contingencies of self-worth in college students: theory and measurement. Journal of Personality and Social Psychology, 85, 894908. https://doi.org/10.1037/0022-3514.85.5.894 CrossRefGoogle ScholarPubMed
De Ruiter, N. M. P., van Geert, P. L. C., & Kunnen, E. S. (2017). Explaining the ‘how’ of self-esteem development: the self-organizing self-esteem model. Review of General Psychology, 21, 4968. https://doi.org/10.1037/gpr0000099 CrossRefGoogle Scholar
Drüge, M., Buhlmann, U., Dietel, F. A., Hansmeier, J., Jäger, A., Dworakowski, O., Rück, C., Enander, J., & Watzke, B. (2022). BDD-NET – Ein internetbasiertes Programm bei Körperunzufriedenheit zur niedrigschwelligen Behandlung der körperdysmorphen Störung für den deutschen Sprachraum. Verhaltenstherapie, 32, 110. https://doi.org/10.1159/000520345 CrossRefGoogle Scholar
Enander, J., Andersson, E., Mataix-Cols, D., Lichtenstein, L., Alström, K., Andersson, G., Ljótsson, B., & Rück, C. (2016). Therapist guided internet based cognitive behavioural therapy for body dysmorphic disorder: single blind randomised controlled trial. BMJ, 352, i241. https://doi.org/10.1136/bmj.i241 CrossRefGoogle ScholarPubMed
Fernandez, E., Salem, D., Swift, J. K., & Ramtahal, N. (2015). Meta-analysis of dropout from cognitive behavioral therapy: magnitude, timing, and moderators. Journal of Consulting and Clinical Psychology, 83, 11081122. https://doi.org/10.1037/ccp0000044 CrossRefGoogle ScholarPubMed
Frederick, D. A., Sandhu, G., Morse, P. J., & Swami, V. (2016). Correlates of appearance and weight satisfaction in a U.S. National Sample: personality, attachment style, television viewing, self-esteem, and life satisfaction. Body Image, 17, 191203. https://doi.org/10.1016/j.bodyim.2016.04.001 CrossRefGoogle Scholar
Geraghty, A. W. A., Wood, A. M., & Hyland, M. E. (2010). Attrition from self-directed interventions: investigating the relationship between psychological predictors, intervention content and dropout from a body dissatisfaction intervention. Social Science & Medicine, 71, 3037. https://doi.org/10.1016/j.socscimed.2010.03.007 CrossRefGoogle ScholarPubMed
Harrison, A., La Fernández de Cruz, L., Enander, J., Radua, J., & Mataix-Cols, D. (2016). Cognitive-behavioral therapy for body dysmorphic disorder: a systematic review and meta-analysis of randomized controlled trials. Clinical Psychology Review, 48, 4351. https://doi.org/10.1016/j.cpr.2016.05.007 CrossRefGoogle ScholarPubMed
Hartmann, A. S., Staufenbiel, T., Bielefeld, L., Buhlmann, U., Heinrichs, N., Martin, A., Ritter, V., Kollei, I., & Grocholewski, A. (2020). An empirically derived recommendation for the classification of body dysmorphic disorder: findings from structural equation modeling. PloS One, 15, e0233153. https://doi.org/10.1371/journal.pone.0233153 CrossRefGoogle ScholarPubMed
Hartmann, A. S., Thomas, J. J., Greenberg, J. L., Matheny, N. L., & Wilhelm, S. (2014). A comparison of self-esteem and perfectionism in anorexia nervosa and body dysmorphic disorder. Journal of Nervous and Mental Disease, 202, 883888. https://doi.org/10.1097/NMD.0000000000000215 CrossRefGoogle ScholarPubMed
Heatherton, T. F., & Polivy, J. (1991). Development and validation of a scale for measuring state self-esteem. Journal of Personality and Social Psychology, 60, 895910. https://doi.org/10.1037/0022-3514.60.6.895 CrossRefGoogle Scholar
IBM Corporation (2021). IBM SPSS Statistics for Windows (version 28.0) [computer software]. Armonk, NY.Google Scholar
JASP Team (2022). JASP (version 0.17.1.0) [computer software]. https://jasp-stats.org/ Google Scholar
Johnson, S., Egan, S. J., Andersson, G., Carlbring, P., Shafran, R., & Wade, T. D. (2019). Internet-delivered cognitive behavioural therapy for perfectionism: targeting dysmorphic concern. Body Image, 30, 4455. https://doi.org/10.1016/j.bodyim.2019.05.002 CrossRefGoogle ScholarPubMed
Kelly, M. M., Brault, M. E., & Didie, E. R. (2017). Psychosocial functioning and quality of life in body dysmorphic disorder. In Phillips, K. A. (ed), Body Dysmorphic Disorder: Advances in Research and Clinical Practice (pp. 139154). Oxford University Press.Google Scholar
Kolubinski, D. C., Frings, D., Nikčević, A. V., Lawrence, J. A., & Spada, M. M. (2018). A systematic review and meta-analysis of CBT interventions based on the Fennell model of low self-esteem. Psychiatry Research, 267, 296305. https://doi.org/10.1016/j.psychres.2018.06.025 CrossRefGoogle ScholarPubMed
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (1999). Patient Health Questionnaire-9 (PHQ-9). PsycTESTS Dataset. https://doi.org/10.1037/t06165-000 CrossRefGoogle Scholar
Kuck, N., Cafitz, L., Bürkner, P.-C., Hoppen, L., Wilhelm, S., & Buhlmann, U. (2021). Body dysmorphic disorder and self-esteem: a meta-analysis. BMC Psychiatry, 21, 310. https://doi.org/10.1186/s12888-021-03185-3 CrossRefGoogle ScholarPubMed
Laux, L., Hock, M., Bergner-Köther, R., Hodapp, V., & Renner, K.-H. (2013). Das State-trait-Angst-Depressions-Inventar: STADI; Manual. Hogrefe. https://fis.uni-bamberg.de/opus/48423 Google Scholar
LimeSurvey GmbH (2003). LimeSurvey: An Open Source survey tool (version 4.3) [computer software]. http://www.limesurvey.org Google Scholar
Magezi, D. A. (2015). Linear mixed-effects models for within-participant psychology experiments: an introductory tutorial and free, graphical user interface (LMMgui). Frontiers in Psychology, 6, article 2. https://doi.org/10.3389/fpsyg.2015.00002 CrossRefGoogle ScholarPubMed
McCausland, J., Paparo, J., & Wootton, B. M. (2021). Treatment barriers, preferences and histories of individuals with symptoms of body dysmorphic disorder. Behavioural and Cognitive Psychotherapy, 49, 582595. https://doi.org/10.1017/S1352465820000843 CrossRefGoogle ScholarPubMed
Mohajerin, B., Bakhtiyar, M., Olesnycky, O. S., Dolatshahi, B., & Motabi, F. (2019). Application of a transdiagnostic treatment for emotional disorders to body dysmorphic disorder: a randomized controlled trial. Journal of Affective Disorders, 245, 637644. https://doi.org/10.1016/j.jad.2018.11.058 CrossRefGoogle ScholarPubMed
Musiat, P., Johnson, C., Atkinson, M., Wilksch, S., & Wade, T. (2022). Impact of guidance on intervention adherence in computerised interventions for mental health problems: a meta-analysis. Psychological Medicine, 52, 229240. https://doi.org/10.1017/S0033291721004621 CrossRefGoogle ScholarPubMed
Niveau, N., New, B., & Beaudoin, M. (2021). Self-esteem interventions in adults – a systematic review and meta-analysis. Journal of Research in Personality, 94, 104131. https://doi.org/10.1016/j.jrp.2021.104131 CrossRefGoogle Scholar
Norwood, S. J., Murray, M., Nolan, A., & Bowker, A. (2011). Beautiful from the inside out. Canadian Journal of School Psychology, 26, 263282. https://doi.org/10.1177/0829573511423632 CrossRefGoogle Scholar
O’Dea, J. A., & Abraham, S. (2000). Improving the body image, eating attitudes, and behaviors of young male and female adolescents: a new educational approach that focuses on self-esteem. International Journal of Eating Disorders, 28, 4357. https://doi.org/10.1002/(SICI)1098-108X(200007)28:1<43::AID-EAT6>3.0.CO;2-D 3.0.CO;2-D>CrossRefGoogle ScholarPubMed
Orth, U., & Robins, R. W. (2013). Understanding the link between low self-esteem and depression. Current Directions in Psychological Science, 22, 455460. https://doi.org/10.1177/0963721413492763 CrossRefGoogle Scholar
Orth, U., & Robins, R. W. (2022). Is high self-esteem beneficial? Revisiting a classic question. The American Psychologist, 77, 517. https://doi.org/10.1037/amp0000922 CrossRefGoogle ScholarPubMed
Rahman, R. U., & Husain, N. (2009). Self-esteem in obsessive compulsive disorder. European Psychiatry, 24, 1. https://doi.org/10.1016/S0924-9338(09)71269-6 CrossRefGoogle Scholar
Robinson, K., & Wade, T. D. (2021). Perfectionism interventions targeting disordered eating: a systematic review and meta-analysis. International Journal of Eating Disorders, 54, 473487. https://doi.org/10.1002/eat.23483 CrossRefGoogle ScholarPubMed
Rosen, J. C., Reiter, J., & Orosan, P. (1995). Cognitive-behavioral body image therapy for body dysmorphic disorder. Journal of Consulting and Clinical Psychology, 63, 263269. https://doi.org/10.1037//0022-006x.63.2.263 CrossRefGoogle ScholarPubMed
Rosenberg, M. (1965). Society and the Adolescent Self-Image. Princeton Legacy Library. Princeton University Press. https://doi.org/10.1515/9781400876136 CrossRefGoogle Scholar
Rudolph, A., Schröder-Abé, M., & Schütz, A. (2020). I like myself, I really do (at least right now). European Journal of Psychological Assessment, 36, 196206. https://doi.org/10.1027/1015-5759/a000501 CrossRefGoogle Scholar
Ruffolo, J. S., Phillips, K. A., Menard, W., Fay, C., & Weisberg, R. B. (2006). Comorbidity of body dysmorphic disorder and eating disorders: severity of psychopathology and body image disturbance. International Journal of Eating Disorders, 39, 1119. https://doi.org/10.1002/eat.20219 CrossRefGoogle ScholarPubMed
Schmidt, J., & Martin, A. (2019). Appearance teasing and mental health: gender differences and mediation effects of appearance-based rejection sensitivity and dysmorphic concerns. Frontiers in Psychology, 10, 579. https://doi.org/10.3389/fpsyg.2019.00579 CrossRefGoogle ScholarPubMed
Schoenenberg, K., Bosbach, K., Baumeister, H., Küchler, A.-M., Hartmann, A. S., Harrer, M., Ebert, D. D., & Martin, A. (2023). Internet-based treatment of body dysmorphic disorder. Journal of Nervous & Mental Disease. Advance online publication. https://doi.org/10.1097/NMD.0000000000001693 CrossRefGoogle Scholar
Schulte, J., Dietel, F. A., Wilhelm, S., Nestler, S., & Buhlmann, U. (2021). Temporal dynamics of insight in body dysmorphic disorder: an ecological momentary assessment study. Journal of Abnormal Psychology, 130, 365376. https://doi.org/10.1037/abn0000673 CrossRefGoogle ScholarPubMed
Schulte, J., Schulz, C., Wilhelm, S., & Buhlmann, U. (2020). Treatment utilization and treatment barriers in individuals with body dysmorphic disorder. BMC Psychiatry, 20, 69. https://doi.org/10.1186/s12888-020-02489-0 CrossRefGoogle ScholarPubMed
Trzesniewski, K. H., Donnellan, M. B., Moffitt, T. E., Robins, R. W., Poulton, R., & Caspi, A. (2006). Low self-esteem during adolescence predicts poor health, criminal behavior, and limited economic prospects during adulthood. Developmental Psychology, 42, 381390. https://doi.org/10.1037/0012-1649.42.2.381.CrossRefGoogle ScholarPubMed
Veale, D. (2004). Advances in a cognitive behavioural model of body dysmorphic disorder. Body Image, 1, 113125. https://doi.org/10.1016/S1740-1445(03)00009-3 CrossRefGoogle Scholar
Veale, D., & Neziroglu, F. (2010). Body Dysmorphic Disorder: A Treatment Manual. Wiley-Blackwell. https://doi.org/10.1002/9780470684610 CrossRefGoogle Scholar
Wilhelm, S., Phillips, K. A., Didie, E., Buhlmann, U., Greenberg, J. L., Fama, J. M., Keshaviah, A., & Steketee, G. (2014). Modular cognitive-behavioral therapy for body dysmorphic disorder: a randomized controlled trial. Behavior Therapy, 45, 314327. https://doi.org/10.1016/j.beth.2013.12.007 CrossRefGoogle ScholarPubMed
Wilhelm, S., Phillips, K. A., & Steketee, G. (2012). Cognitive-Behavioral Therapy for Body Dysmorphic Disorder: A Treatment Manual. Guilford Press.Google Scholar
Wilhelm, S., Weingarden, H., Greenberg, J. L., Hoeppner, S. S., Snorrason, I., Bernstein, E. E., McCoy, T. H., & Harrison, O. T. (2022). Efficacy of app-based cognitive behavioral therapy for body dysmorphic disorder with coach support: initial randomized controlled clinical trial. Psychotherapy and Psychosomatics, 91, 277285. https://doi.org/10.1159/000524628 CrossRefGoogle ScholarPubMed
Woody, S. R. (1996). Effects of focus of attention on anxiety levels and social performance of individuals with social phobia. Journal of Abnormal Psychology, 105, 6169. https://doi.org/10.1037/0021-843x.105.1.61 CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. The flow of participants (Study 1).

Figure 1

Table 1. Sociodemographic data of participants in self-esteem and attention training condition of Study 1 and the self-esteem training of Study 2

Figure 2

Table 2. Descriptive statistics of Study 1 and Study 2

Figure 3

Table 3. Within-group intervention effects (estimated trends) for pre-, mid- and post-intervention assessment of Study 2

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