Evidence map›Paper›PMID 42260792›Full record

ArticleBrain and behavior2026

Bridging Body Image Disturbance and Body Dysmorphic Disorder Symptoms: A Symptom Network Study Among University Students.

Mohammed A Mamun, S M Rakibul Hasan, Moneerah Mohammad ALmerab, Firoj Al-Mamun

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Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mohammed A MamunCHINTA Research Bangladesh, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-1728-8966
S M Rakibul HasanCHINTA Research Bangladesh, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0003-1089-8870
Moneerah Mohammad ALmerabDepartment of Psychology, College of Education and Human Development, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0003-4987-0309
Firoj Al-MamunCHINTA Research Bangladesh, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-4611-9624

Funding

Nourah Bint Abdulrahman UniversityPrincess Nourah Bint Abdulrahman University PNURSP2026R563
6 · The paper itself

Abstract

backgroundBody image disturbance (BID) and body dysmorphic disorder (BDD) are common among university students and may impair emotional, social, and academic functioning. However, symptom-level links between BID and body dysmorphic symptoms remain unclear, particularly in non-Western student populations. This study used network analysis to examine central and bridge symptoms connecting BID and BDD symptoms among Bangladeshi university students.

methodsA cross-sectional survey was conducted among 1401 university students in Bangladesh. Participants completed the Body Image Disturbance Questionnaire (BIDQ; seven items) and the Body Dysmorphic Disorder Screener for DSM-5 (BDDS-5; 11 core symptom items). A Gaussian graphical model was estimated using EBICglasso with an ordinal correlation matrix computed using cor_auto. Node centrality, bridge centrality, and predictability were examined. Network stability was assessed using bootstrapping, and gender differences were evaluated using the Network Comparison Test.

resultsThe estimated network showed distinct but interconnected BIDQ and BDDS-5 symptom communities. The most central symptoms were comparing appearance with others, academic/professional impact, and feeling bad or miserable about appearance. Overall, the strongest bridge symptoms were academic/professional impact (bridge strength = 0.757), concern about a specific appearance feature (0.577), and interference with social life (0.442). The network showed acceptable stability (CS coefficient for node strength = 0.52). Global network strength did not differ significantly between males and females (7.86 vs. 8.13; p = 0.140), but network structure differed significantly (M = 0.230, p = 0.041). Among males, the strongest bridge symptoms were social/occupational impairment, academic/professional impact, and specific appearance concern; whereas specific appearance concern, social interference, trouble focusing due to appearance, and appearance-related emotional distress were for females.

conclusionThis symptom-level network analysis highlights academic/professional impairment, specific appearance concern, and social interference as key links between BID and BDD symptoms. Findings may inform targeted, gender-sensitive interventions for university students and extend body image network research to a large Bangladeshi sample.

Indexed as

Body Dysmorphic DisordersBody ImageStudentsAdolescentAdultBangladeshCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesUniversitiesYoung Adultbody dysmorphic disorderbody image disturbancebridge symptomsnetwork analysissymptom network

Identifiers

PMID42260792
PMCPMC13247133

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.