ArticlePublic health challenges2025
Relationship Between Body Mass Index, Eating Disorders, Internet Addiction, and Social Media Addictions Among Adolescents in Bangladesh.
Article in Public health challenges, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- How does social media addiction make you fear exercise? The relationship between social media addiction and kinesiophobia among college students: the mediating role of social physique anxiety.Frontiers in psychology · 2026Article
- Relationship Between Body Mass Index, Eating Disorders, Internet Addiction, and Social Media Addictions Among Adolescents in Bangladesh.Public health challenges · 2025Article
- Classifying Internet Addiction Using Machine Learning Approach: A Study Among Adolescents in Bangladesh.Public health challenges · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Due to the increasing consumption of the internet, several outcomes are often seen among adolescents, including an increase in internet addiction (IA) and social media addiction (SMA). It could also have been associated with high body mass index (BMI) and eating disorders (EDs). This study aimed to assess the relationship between BMI, EDs, IA, and SMA among adolescents in Bangladesh and to determine the associated factors. Methodology: Using a cross-sectional design, this study gathered data from adolescents aged 13-19 years old using an online questionnaire consisting of sociodemographic variables, BMI, eating disorder test scale (EAT-26), Young's Internet addiction test scale (IAT-20), and Bergen's social media addiction scale (BSMAS). Apart from the descriptive statistics and Pearson chi-square test, we employed two sets of binary logistic regression and bivariate co-relation matrix to analyze the data and to find out the relationship by SPSS 26.0. Results: A total of 2147 adolescents with a mean age of 15.6 years old participated in the study; among them, 70.70% were female. Our study found that 23.2% of participants had EDs, 30.8% of students were addicted to the Internet, and 59.9% of participants were addicted to social media. Concerning BMI, we found that 6.6% of participants were underweight, 1.9% were overweight, 24% were obese, and the remaining 67.5% had a normal BMI. Gender, the purpose of the internet, daily internet use, physical exercise, the study of novels/stories, EDs, and BMI had a significant effect on increasing IA and SMA among adolescents. IA, SMA, and EDs were co-related. Conclusion: The stakeholders should inspire and take necessary steps to engage the adolescents in physical exercise and literature habits to control the IA and SMA. And regarding BMI and EDs, the parents should be aware of this.
Indexed as
Identifiers
What 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.