Prevalence of Body Dysmorphic Disorder in the Spanish Population: Cross-Sectional Web-Based Questionnaire Study
Notice bibliographique
Résumé
BACKGROUND: Body dysmorphic disorder (BDD) is defined as excessive concern with mild or nonexistent defects in personal physical appearance, which are not perceived by others. The worldwide prevalence of BDD ranges between 0.5% and 3.2%, with no differences across genders. The mean age of onset of BDD is 16.9 years. BDD is typically associated with young age, psychiatric disorders, and dermatological procedures. Patients with BDD typically display poorer mental health status than patients diagnosed with other mental disorders. OBJECTIVE: The aim of this study was to estimate the prevalence of BDD in Spain and to identify the variables associated with BDD. METHODS: We performed a cross-sectional descriptive study by collecting data through an anonymous web-based survey targeting the Spanish population aged 18 years or older. The measures in this study were (1) sociodemographic variables, (2) variables associated with dermatological and psychiatric disorders and cosmetic procedures, (3) scales measuring quality of life (12-item Short Form health survey, version 2) and (4) BDD (BDD Questionnaire). Statistical analysis was performed with SPSS software version 21. P values less than .05 were considered significant. RESULTS: Of the 2091 participants who took the survey, 322 (15.2%) met the criteria of having BDD. The mean age of the participants with BDD was 23.5 (SD 9.6) years. In terms of BDD prevalence, women accounted for 19.9% (284/1421), men accounted for 5.2% (34/653), and students accounted for 25.2% (263/1043). Approximately 46.6% (150/322) of the participants with BDD reported a history of psychiatric comorbidities, including anxiety disorders, depressive disorders, and eating disorders. BDD was significantly associated with female gender, younger age (18-24 years), students, monthly income of less than €500 (€1=US $1.11), and the presence of dermatological and some psychiatric disorders such as depression, anxiety, and eating disorders (P<.05). The number of body parts of concern in participants with BDD was significantly higher than that in those without BDD (4.6 vs 2.2, respectively; P<.001). Regarding the body parts of concern, body fat was the most common concern for both groups with BDD and without BDD, followed by thighs, face, hips, and skin in the BDD group and thighs, teeth, and hair in the non-BDD group. Participants with BDD showed a significantly poorer self-perception of their mental health, irrespective of the presence of any mental disorder (P<.001). CONCLUSIONS: Our findings showed that the prevalence of BDD in Spain was higher than expected. Further, BDD is frequently associated with other psychiatric disorders, particularly depressive disorder, anxiety disorder, and eating disorder. Participants with BDD had a poorer perception of quality of life associated with mental but not physical health problems. Finally, the perception of quality of mental health life in participants with BDD was independent of diagnosis of any mental disorder.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».