ArticleDiscover mental health2024
Distribution and association of road traffic accident with depression among Indian population aged 45 years and above: nested multilevel modelling analysis of nationally representative cross-sectional survey.
Article in Discover mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Systematic review and meta-analysis on depression burden among Type 2 diabetes patients in India.Diabetology & metabolic syndrome · 2026Review
- Depression and Multimorbidity among Older Indians Residing in Front-Runner, Achiever and Aspirant States: Insight from Longitudinal Ageing Study in India (LASI) - Wave I.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- Adolescent pregnancy in India: multilevel insights into distribution, determinants and socioeconomic inequalities.BMJ public health · 2026Article
- Health inequality in the disease burden of non-communicable diseases among the elderly from 1990 to 2021, and projections to 2050: a systematic analysis of global burden of disease study.BMC geriatrics · 2025Article
- Multiple sexual partnership (MSP) and its distribution, determinants, gender differences, socio-economic inequalities and regional patterns: a nested multilevel regression analysis of a nationally representative survey among Indian youth (15-24 years).Journal of health, population, and nutrition · 2025Article
- Association of frailty with non-laboratory based cardiovascular disease risk score among older adults and elderly population: insights from longitudinal aging study in India (LASI-1st wave).BMC public health · 2025Article
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7 authors.
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Abstract
introductionThe prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to estimate distribution and determine the association between RTA and depression among Indian population aged 45 years and above: overall and stratified into age group, gender and across states/union territories as aspirants, achievers, and front runners.
methodsUsing Longitudinal Aging Study in India (LASI) dataset (April 2017-December 2018), we have conducted this study among middle aged (45-59 years) and older adults and elderly (≥ 60 years) Indians. Bivariate analysis was conducted to estimate the prevalence of RTA and depression nationally and across aspirants, achievers, and front runner states. States and union territories were categorised as low, medium, and high as per RTA and depression prevalence, which were further cross tabulated. Spatial distribution maps were created using Microsoft Excel. We have documented the association of RTA with depression. To reduce the confounding effects of demographic and socioeconomic; health related and behavioural covariates; propensity score matching (PSM) was conducted. Nested multilevel regression modelling was analysed using STATA version 17.
resultsPrevalence of RTA was 1.84% (1.74-1.94) nationally, highest among achiever states [2.04% (1.82-2.30)]. Prevalence of depression was 6.08% (5.90-6.26) nationally, highest among aspirant states [7.02% (6.74-7.30)]. The adjusted odds of having RTA was significantly among depressed [aOR (95% CI) 1.76 (1.45-2.15)] than non-depressed participants; which was much higher among females [aOR (95% CI) 1.93 (1.43-2.62)] than in males [aOR (95%CI) 1.67 (1.29-2.16)] and much higher among middle aged [aOR (95%CI) 2.08 (1.63-2.65)]. Odds of RTA was highest across front runners [aOR (95%CI) 1.86 (1.26-2.72)] followed by aspirant states [aOR (95%CI) 1.79 (1.37-2.33)].
conclusionThis study established the positive association between depression and road traffic accidents among middle aged, older adults and elderly. Therefore, efforts must be taken to address mental health issues in them with proper policy implication more focused on females and middle aged. Front runner's states should get the limelight followed by aspirant states.
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