Participants
Data from the N = 650 participants were collected as convenience samples from the general population in a German (n = 486) and an Iranian subsample (n = 164). In the German sample, the average age was M = 31.39 (SD = 13.52), and 75.93% of participants were female. The German subsample that also completed the diagnostic interview (n = 40) had a mean age of M = 31.10 (SD = 13.51). In the all-female Iranian sample, 53.66% of participants were between 29 and 40, 31.10% were younger (18 to 28), and 17.68% were older than 40 years. A full comparison of sociodemographic data can be found in Table 1.
Table 1
Sociodemographic data of the complete sample and the subsamples
| Complete Sample | German Sample | German Interview Subsample | Iranian Sample |
N | 650 | 486 | 40 | 164 |
Age | | M = 31.39, (SD = 13.52) | M = 31.1, (SD = 13.51) | 18–28: 31.1%, 29–40: 53.66%, 41–55: 17.68% |
Gender Female (%) | 82 | 75.93 | 60 | 100 |
No Education (%) | 25.38 | 0.21 | 0 | |
Secondary Education Completed (%) | 57.69 | 43.42 | 50 | 14.63 |
Vocational Education completed (%) | 43.69 | 24.69 | 17.5 | |
University degree (%) | 47.38 | 29.63 | 27.5 | 83.54 |
Doctorate degree (%) | 26.77 | 2.06 | 5 | 7.93 |
In Education (%) | 51.54 | 51.23 | 65 | 5.49 |
(Self-)Employed (%) | 38.46 | 35.19 | 30 | 64.63 |
Other Occupation (%) | 10.31 | 13.58 | 5 | |
Measures
In both samples, the BDD-S was administered in combination with another measure of BDD symptoms, depressive symptoms, general psychopathological distress, social anxiety disorder symptoms and demographic questions. From the German sample, a subsample of participants was contacted for a follow-up with the diagnostic interview BDD-CI. For the follow-up interview, we contacted participants who indicated agreement (at least 2 = “quite true”) with at least one of 4 items (Item 1: Preoccupation, Item 7: Repetitive behaviours, Item 9: Mental behaviours, or Item 12: Impairment) of the Body Dysmorphic Screening Scale and agreed to be contacted. N = 381 of our sample fulfilled these criteria, of which N = 40 were interviewed. In the German study, we used established questionnaires with good psychometric qualities. For the Iranian sample, validated questionnaire versions were used where available. Unavailable questionnaires were translated and back-translated from German to Farsi by a native speaker (FT).
Body Dysmorphic Disorder Screening (BDD-S).
The proposed 15-item BDD-S [23] intends to distinguish patients with BDD from healthy persons. Eight quantitative items measure concern over the imagined flaw, subjective impairment, avoidance and increased self-consciousness, as well as mental and behavioural preoccupation on a scale from 0 (“not at all true”) to 4 (“very much true”). The numerical items are summed up to calculate the total score (range 0–32). Additional items ask for the body region(s) that are the focus of preoccupation (item 2; e.g. skin, hair, face, etc.), the type of disorder-specific behaviours (item 8; e.g. checking rituals) and mental preoccupation (item 10; e.g. comparison of one’s own appearance with that of others), as well as specific life domains of impairment (item 13; e.g., couple relationship/sexuality). All qualitative items allow the selection of multiple answers and the addition of own answers, providing additional information. Item 3 is used to exclude participants whose concerns relate only to body weight and items 14 and 15 assess insight into the excessiveness of the belief.
Structured Clinical Interview for Body Dysmorphic Disorder (BDD-CI).
With the structured clinical interview for BDD (BDD-CI) [22], the BDD diagnosis can be obtained corresponding to ICD-11 and DSM-5 by evaluating the respective relevant criteria. The interview guideline assesses the core criteria preoccupation (item 1), self-consciousness and ideas of reference (item 2), repetitive behaviours and mental acts (item 3), avoidance (item 4) and impairment (item 5). Additional items for the insight (item 8) and muscle dysmorphia (item 7) specifiers, and eating disorder exclusion (item 6) are provided. Interview questions are supplemented by guidelines for the assessment of each criterion. Qualitative information is recorded about the body parts, the performed behaviours, and the impaired areas of life. For the ICD-11 diagnosis, the questions regarding preoccupation (Item 1), self-consciousness (Item 2) and suffering or impairment (Item 5) have to be answered positively, and either repetitive (mental) behaviours (Item 3) or avoidance (Item 4) are indicated. For the DSM-5 diagnosis, items 1, 3 and 5 have to be affirmed. For both, the exclusion of an eating disorder (Item 6) has to be considered.
Dysmorphic Concern Questionnaire (DCQ).
We used the German version [25] of the Dysmorphic Concern Questionnaire (DCQ) [24]. In the DCQ, participants rate dysmorphic worries on a 7-item scale with 0 = ‘not at all’, 1 = ‘like most other people’, 2 = ‘more than other people’ and 3 = ‘much more than other people’. The aggregated score ranges from 0 to 21 with higher scores representing more pronounced dysmorphic worries. A cutoff value of 14 achieved an 84.6% accuracy in classifying BDD patients [25]. A solid body of research indicates that the DCQ is a valid and reliable screening instrument [25, 44–46]. A recent study confirmed a good internal consistency of \(\alpha\) = .81 and good convergent validity for a representative German sample [47].
Brief Symptom Inventory.
General psychopathological distress was examined using a German version [48] of the 18-item short form of the Brief Symptom Inventory (BSI-18) [49]. The short version encompasses the three symptom areas Anxiety, Depression, and Somatization, each represented by six items that are rated on a scale from 0 (“not at all”) to 4 (“very much”). Sum scores (ranging from 0 to 24) can be calculated for each syndrome. Taken together, the three syndromes constitute the Global Severity Index (GSI, range 0–72) as a measure of general psychological distress. A representative German sample showed good internal consistency for each of the syndromes and very good internal consistency for the GSI, as well as favourable estimates of convergent validity [50]. In the Iranian sample, the 53-item version of the BSI [51] was used, for which psychometric quality is empirically supported [52]. However, in order to enable a comparison with the German sample, only the corresponding items of the BSI-18 were evaluated for the Iranian sample.
Beck Depression Inventory.
The German version of the BDI-Fast Screening (BDI-FS) [53, 54], a short form of the BDI-II [55], was applied to measure depressive symptoms. For each item, one out of four statements is selected, resulting in a rating between 0 and 3. The total score ranges from 0 to 21, with higher values indicating more severe depressive symptoms. In a representative German sample, the one-factor structure and good internal consistency (\(\alpha\) = .84) along with good convergent and satisfying discriminant validity could be supported [54]. For the Iranian sample, the BDI-V [56] was translated into Farsi. The BDI-V is a simplified version of the BDI that applies a standard Likert scale (0–5) to 20 items (sum score ranging from 0 to 100). This scale showed a good psychometric quality in a German sample [57].
Social Phobia Inventory.
Symptoms of social anxiety disorder (SAD) were assessed with the Social Phobia Inventory (SPIN) [58] in the German [59] and Iranian versions [60]. In the 17-item self-report screening instrument, participants rate social anxiety, avoidance and physiological aspects of social anxiety on a Likert scale between 0 and 4 (total score ranging from 0 to 68). In the German version of the SPIN, a very high internal consistency, good retest reliability, good validity and change sensitivity were shown [59]. For the Iranian version, internal consistencies of \(\alpha\) = .66 in a clinical and \(\alpha\) = .89 in a non-clinical sample were found [60].
Data analysis
Reliability of the BDD-S was assessed by estimating the internal consistency with McDonald’s \(\omega\). To determine construct validity, correlations with another BDD measure and related constructs were calculated. We expected correlations > .70 for convergent measures, and lower values for divergent measures. We performed a ROC analysis on the German sample (n = 486), using the DCQ score categorization based on the cutoff value of > = 14 provided by Stangier et al. [25]. A first cutoff value was determined based on maximizing the sum of sensitivity and specificity. An alternative, more sensitive cutoff value was calculated by maximization of the sensitivity. From the BDD-CI, we estimated the prevalence in the German sample. Given that the interview was not conducted in the total sample due to limited resources, the prevalence could only be estimated indirectly. We first preselected eligible participants from the total German sample with a very liberal criterion to exclude people who did not confirm any relevant item. For these N = 105 people, we assumed that the BDD diagnosis was not fulfilled. Among the N = 381 eligible participants, 40 interviews were ultimately conducted. For the 341 people who were eligible, but not interviewed for various reasons (accessibility, no consent to interview), we assumed that the prevalence was comparable to that of the sample that was interviewed. In this way, we estimated a prevalence value for the entire German sample.