Victimisation, depression and suicidal ideation: understanding interlinkages among youth in North India through structural equation modelling
Sethi, A. K., Lakshmi, P. V. M., Bhatia, V. K., Singh, S. M.
psychiatry and clinical psychology
Quick verdict
Claims cross-sectional SEM shows Indian-college victimisation affects suicidality via fights and depression; plausible path chain but fit indices miss conventional thresholds, so read causality cautiously.
Summary
This preprint reanalyses a 2018 cross-sectional survey of 752 college students aged 18-22 in Chandigarh, India (75.6% of 995 invited; 64.4% women), using CDC YRBSS items. Exploratory factor analysis defines a victimisation latent factor from dating violence, campus bullying and cyberbullying; a five-level ordinal outcome combines suicidal ideation and attempts. Using diagonally weighted least squares with probit link and theta parameterisation, the authors report an indirect chain: victimisation predicts physical fights (0.37), fights predict depressive symptoms (0.26), and depressive symptoms strongly predict the suicidality outcome (0.95), while victimisation's direct effect is negligible (-0.06). Fit indices for the primary model, however, miss conventional thresholds (SRMR 0.179; chi-squared p=0.026), and the simplified model sits at p=0.036, although the authors call fit acceptable. The suicide ordinal is extremely sparse: one level empty, only three medically treated attempts. Depression is a single binary item on sadness or hopelessness. Causal mediation language sits uneasily with the cross-sectional design; the authors concede an equivalent reversed model. They openly note the analysis was unplanned, data are from 2018, and recall bias is possible. Overall, a carefully documented, openly archived analysis, but the causal mediation narrative outruns what these data and fit statistics can bear.
Review complete
Assessment at a glance
5
risk flags identified
● high 2
● medium 2
● low 1
4 strengths · 5 weaknesses · 5 author questions
AI text signal = Binoculars zero-shot detector score over 20 sampled passages (Fast-DetectGPT co-reported) — absence does not prove human authorship, and a flag does not imply misconduct.
Levels reflect verification complexity — not a quality score. Evolve never rates your paper.
Key claims under review
- Victimisation (dating violence, campus bullying, cyberbullying) is associated with suicidal ideation and attempts only indirectly, mediated by physical fights and depressive symptoms, with a negligible direct effect (-0.06).
- Physical fights mediate the victimisation-depression link (victimisation to fights 0.37; fights to depressive symptoms 0.26).
- Depressive symptoms strongly predict the combined suicidality outcome (path 0.95, 95% CI 0.59-1.30).
- Men report more victimisation than women in this Chandigarh college sample (gender path -0.37, p=0.002), including more dating violence.
- The hypothesised model has acceptable global fit, supporting the proposed interlinkage structure.
Strengths
Transparent, estimator-appropriate analytic pipeline
Methods detail polychoric/polyserial correlations, exploratory factor analysis with geomin rotation, diagonally weighted least squares with probit link and theta parameterisation (lavaan), plus reported CIs and five global fit indices; the YRBSS instrument and questionnaire adaptations are specified.
Open data and analysis materials enable verification
The data availability statement links the public dataset from the parent PLOS One study (doi 10.1371/journal.pone.0340072, s005) and states that the codebook and analysis code ship as supplementary material.
Adequate sample with random sampling for SEM
Honest, explicitly documented limitations
Weaknesses
Reported fit fails conventional thresholds while being labelled acceptable
Severely sparse, conflated suicide ordinal
Depression measured by a single binary item
Causal mediation claimed from cross-sectional data
Weak indicator and unmodelled clustering
Full Review Report
$1.99 · one-timeUnlock the complete preliminary analysis Evolve produced for this paper.
Report preview
Scope & Claims
This medRxiv preprint (posted 2026-09-17, not peer reviewed) reports a secondary analysis of a 2018 cross-sectional survey of 752 college students aged 18-22 in Chandigarh, India (Methods: multistage stratified random sampling, six colleges, 75.6% of 995 invited; 64.4% women, median age 19). The authors build a theory-based structural equation model in which a latent 'victimisation' factor (indicators: dating violence, campus bullying, cyberbullying) predicts physical fights and depressive symptoms, which in turn predict a five-level ordinal outcome combining suicidal ideation and attempts. The headline claims (Abstract, Discussion): the association between victimisation and suicidality is fully indirect, mediated by physical violence and depression (direct path -0.06, p=0.739), and prevention requires multi-level action on bullying, life skills and depression treatment.
The remaining sections cover Methodology Assessment, Statistical Evidence, Results & Reproducibility, Limitations & Risks, and Verdict & Recommendations.
- All 4 strengths & 5 weaknesses, analyzed in detail
- 5 risk flags with severity, section & reviewer questions
- Methods & statistical evidence assessment
- 5 questions a peer reviewer would ask
- Full six-dimension evaluation report & recommendations
One-time purchase · this paper only
One-time purchase, this paper only. AI-generated preliminary analysis — not peer review.
Frequently asked questions
Does bullying victimisation lead to suicidal thoughts among Indian college students, according to this study?
The authors' model suggests an indirect link: victimisation (dating violence, campus bullying, cyberbullying) relates to suicidal ideation and attempts mainly through physical fights and depressive symptoms, with little direct effect. Because the data are cross-sectional and the model's fit indices are borderline, this should be read as a hypothesis-generating association, not proven causation.
How big was the study and who was surveyed?
752 college students aged 18-22 in Chandigarh, North India, surveyed in 2018 with a CDC YRBSS-based anonymous questionnaire; 75.6% of 995 invited students participated, and 64.4% were women. Roughly 24% reported depressive symptoms and 4.5% had seriously considered suicide in the past year; three reported a suicide attempt requiring medical treatment.
Is the study's data or code available?
Yes. The data are publicly archived with the parent PLOS One study (doi 10.1371/journal.pone.0340072, supplementary file s005), and the authors state that the codebook and statistical analysis code are provided as supplementary material with this preprint.
What are the main weaknesses of the study?
The headline model misses conventional fit thresholds (SRMR 0.179, chi-squared p = 0.026), the suicide outcome is a severely sparse ordinal variable (one empty level, only 3 treated attempts), depression is a single binary item on sadness/hopelessness, and causal mediation language goes beyond what cross-sectional data can support.
About this review
This is an AI-generated preliminary review by Evolve.Pub, produced from the openly available text of the paper. It is not peer review and does not represent the authors' views. The canonical record of the paper is at the publisher link above.
- Figures 1a/1b and Supplementary Figure 1 are images and could not be assessed from the extracted text.
- Supplementary Appendix 1 was extracted but the PDF layout of the correlation matrix makes exact reading of some cells uncertain.
- Whether confidence intervals for standardised paths are bootstrap-based or delta-method is not stated in the text.
- This is a non-peer-reviewed medRxiv preprint (posted September 17, 2026); conclusions may change after journal review.
Go deeper on this paper
Wrote a paper? Stress-test it before reviewers do.
Upload your manuscript for the same structured scrutiny — reasoning, statistics, evidence, figures, and reproducibility.