ArticlePLOS mental health2025
Prevalence and predictors of loneliness among university students: A cross-sectional study.
Article in PLOS mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Interplay of academic stress, digital fatigue, and loneliness in predicting university students' mental health in the post-COVID era.Discover mental health · 2026Article
- Chain mediation of subjective assessment of insomnia and physical health in the relationship between loneliness and life satisfaction in undergraduate students: a biopsychosocial model of well-being.Frontiers in public health · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Loneliness is recognized as a significant public health concern among university students, with potential implications for their physical and mental well-being, as well as their academic performance. However, the research on loneliness among university students in Bangladesh after COVID-19 pandemic is not available. This study aimed to find out how often university students in Bangladesh feel lonely and what factors contribute to it. The cross-sectional study was conducted from January 01 to February 29, 2024. Data was collected from 400 Rajshahi university students; they were selected by two-stage random sampling. We used the logistic regression model to find the predictors of loneliness, considering a p-value of less 0.05 as statistically significant. Data were analyzed using the SPSS software, version 22.0. This study raveled that more than 22% of university students were suffering from loneliness. The logistic regression model demonstrated that (i) younger (age ≤ 21years) [AOR = 1.83, 95% CI: 1.05-3.17; p < 0.05], (ii) both underweight [AOR = 2.32, 95% CI: 1.26-4.28; p < 0.01] and overweight [AOR = 2.74, 95%CI:1.27-5.92], (iii) living in nuclear family [AOR = 2.02, 95%CI:1.05-3.90] and (iv) students coming from poor family (family income<15,000 BDT) [AOR = 2.10, 95%CI: 1.05-4.17; p < 0.05] were more in risk to experience loneliness compared to their counterparts. The study finds that a remarkable number of university students are suffering from loneliness and has identified some modifiable predictors of the problem. The predictors provide valuable insights for reducing loneliness among university students. It is urgent for university authorities and policymakers of the country to improve policy for reducing loneliness among adult students.
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.