ArticleBMJ public health2025
Risk factors for low resilience among Grade 10 adolescents in the Gampaha district, Sri Lanka: a case-control study.
Article in BMJ public health, 2025. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Resilience means the ability to deal successfully with difficult situations, and hence low resilience will lead to many negative outcomes. The aim of this study was to explore risk factors for low resilience among Grade 10 adolescents in Gampaha district, Sri Lanka. Methods: Resilience levels and data related to putative risk factors were obtained by using a validated 14-Item Sinhala Resilience Scale and a questionnaire on putative risk factors (both of which were self-administered) from Grade 10 adolescents by conducting a descriptive cross-sectional study. There were 464 (33.6%) cases with low resilience (score=14-73) and 916 (66.4%) controls with high resilience (score=74-98). For the case-control study, the computed sample size for each case and control group was 128, who were selected by applying simple random sampling. Risk factors for low resilience were determined using bivariate and multivariable analyses by applying χ Results: Among the 33 putative risk factors analysed, 13 were found to be significant in bivariate analysis. In multivariable logistic regression analysis, out of 24 independent variables entered initially into the model, only 9 were retained in the final model. These comprised (1) one or both parents dead (AOR=2.5, 95% CI [1.2, 14.5]; p=0.032), (2) mother's low educational level (AOR=1.9, 95% CI [1.6, 3.8]; p=0.021), (3) sleep <8 hours (AOR=1.6, 95% CI [1.1, 3.8]; p=0.002), (4) having less than six close classmates (AOR=1.5, 95% CI [1.1, 4.3]; p=0.021), (5) not attending Sunday school (AOR=1.8, 95% CI [1.1, 10.6]; p=0.001), (6) being short-tempered (AOR=2.2, 95% CI [1.5, 3.6]; p=0.003), (7) having conflicts with friends (AOR=1.4, 95% CI [1.2, 7.5]; p=0.043), (8) not seeking help when confronted/facing with difficulties (AOR=1.6, 95% CI [1.2, 6.9]; p=0.032) and (9) lack of support from home when in need (AOR=1.6, 95% CI [1.2, 5.8]; p=0.001). Conclusion and recommendation: Altogether nine risk factors were identified. Interventions focusing on risk factors ascertained should be developed and conducted regularly by the schools, targeting all adolescents of Grade 10 to boost their status of resiliency.
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.