Evidence map›Paper›PMID 41367066›Full record

ArticleJournal of research in health sciences2026

Correlates of Anxiety and Depression Among Youth in India: Findings from a Large-Scale Population-Based Cross-sectional Study.

Nidhi Saraswat, Pradeep Banandur, Gautham Melur Sukumar, Shalin Lily Giboy, Arvind Banavaram Anniappan

Abstract read
In one paragraph

Article in Journal of research in health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nidhi SaraswatDepartment of Epidemiology, Centre for Public Health, NIMHANS, Bengaluru, India.ORCID 0000-0002-1373-7381
Pradeep BanandurDepartment of Epidemiology, Centre for Public Health, NIMHANS, Bengaluru, India.
Gautham Melur SukumarDepartment of Epidemiology, Centre for Public Health, NIMHANS, Bengaluru, India.
Shalin Lily GiboyDepartment of Epidemiology, Centre for Public Health, NIMHANS, Bengaluru, India.
Arvind Banavaram AnniappanDepartment of Epidemiology, Centre for Public Health, NIMHANS, Bengaluru, India.ORCID 0000-0002-6486-6298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnxiety and depression are major public health concerns due to their high prevalence and associated suffering, dysfunction, and socioeconomic impact, particularly among young individuals. Identifying factors associated with anxiety and depression is crucial for the prevention and promotion of mental health in youth. The present analysis aims to identify factors associated with anxiety and depression among youth, based on a youth health survey undertaken in Kolar district, India.

methodsA secondary data analysis was conducted using data from the Kolar Youth Health Survey, which collected data on various health-related behaviors and conditions from 5,072 youth (aged 15-30 years). Anxiety and depression were screened using standardized tools (GAD-7 and PHQ-9, respectively). Multivariable logistic regression was conducted to identify associated factors. The model's goodness of fit was evaluated using the Hosmer-Lemeshow test and the area under the curve.

resultsSocio-demographic characteristics (marital status, taluka, age), self-reported diagnosed health conditions, sleep issues, suicide and non-suicidal self-harm, tobacco dependence, time spent on phone/computer, family relationships (loving/affectionate relationships vs. serious conflicts), friendships, belief in God, and injury (physical violence, road traffic injuries) were significantly associated with anxiety and/or depression among youth in the study area.

conclusionSelected sociodemographic characteristics, health-impacting behaviors, and health issues were found to be significantly associated with anxiety and/or depression among youth. Considering these risk factors will enable health care providers and policymakers to develop and implement tailored interventions.

Indexed as

AnxietyDepressionAdolescentAdultCross-Sectional StudiesFemaleHealth SurveysHumansIndiaMalePrevalenceRisk FactorsSocioeconomic FactorsYoung AdultAnxietyDepressionIndiaRisk factorsYouth

Identifiers

PMID41367066
PMCPMC12681060

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.