ArticleBMC psychiatry2026
Body image disturbance and body dysmorphic symptoms among Bangladeshi university students: associated factors and Bayesian network analysis.
Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
31 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBody image disturbance and body dysmorphic symptoms are important appearance-related mental health concerns among university students, yet evidence from Bangladesh remains limited. This study examined factors associated with body image disturbance and body dysmorphic symptoms among Bangladeshi university students and explored their conditional dependency structure using Bayesian network analysis.
methodsA cross-sectional survey was conducted among 1,401 residential students at Jahangirnagar University, Bangladesh, between December 2024 and January 2025. Data were collected using a self-administered questionnaire assessing sociodemographic, behavioral, psychosocial, mental health, eating-related, appearance-related, and body image variables. Bivariate analyses, multiple linear regression with HC3 robust standard errors, and theory-informed conditional Gaussian Bayesian network analysis were performed. The Bayesian network used 1,297 complete cases, 23 nodes, and 1,000 bootstrap replications.
resultsMean body image disturbance was 12.00 (SD = 5.39), and mean body dysmorphic symptoms were 3.37 (SD = 2.76). In adjusted models, female gender, traditional bullying, cyberbullying, depressive symptoms, anxiety symptoms, eating disorder risk, and several appearance-specific discomfort variables were associated with higher body image disturbance and/or body dysmorphic symptoms. BMI was not independently associated with either outcome. The regression models explained 24.3% of the variance in body image disturbance and 21.4% of the variance in body dysmorphic symptoms. The averaged Bayesian network retained 13 arcs, including stable dependencies between body image disturbance and body dysmorphic symptoms, cyberbullying and body image disturbance, and anxiety symptoms and body dysmorphic symptoms.
conclusionsBody image disturbance and body dysmorphic symptoms among Bangladeshi university students were associated with psychological, interpersonal, eating-related, and appearance-specific factors. Bayesian network analysis suggested exploratory conditional dependency patterns among these variables. Findings should be interpreted as cross-sectional associations rather than causal pathways and may inform integrated university-based mental health, body image, and anti-bullying support strategies. CLINICAL TRIAL NUMBER: Not applicable.
Indexed as
Identifiers
42881382What OpenQuestion holds
Registered trials
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.