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ABSTRACT: Introduction: With increased urbanization the prevalence of important public health problems like road traffic accidents (RTA) and depression are surging. This study was aimed to determine the association between RTA and depression among Indian population aged ≥45 years. Methods: Using Longitudinal Aging Study in India (LASI) dataset (April 2017–December 2018), we have conducted this study among older adults (45–59 years) 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. Multivariable logistic regression was conducted between RTA and depression, adjusted with demographic and socioeconomic; health related and behavioral factors. P value <0.05 was considered as statistically significant. Results: Prevalence 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 accident was significantly 1.75 times higher among depressed (aOR 1.75, 95% CI 1.44–2.13) than non-depressed participants which was highest across front runners (aOR 1.86, 95%CI 1.26–2.72) followed by aspirant states (aOR 1.79, 95%CI 1.37–2.33). Conclusion: This study established the association between depression and road traffic accidents among older adults and elderly. Therefore, efforts must be taken to address mental health issues specially focusing on depression in them with proper policy implication more focused on front runners followed by aspirant states. [ABSTRACT FROM AUTHOR]

ABSTRACT: Introduction: Anemia is an important public health disorder. There is a significant chunk of India's population residing in poor housing quality with inadequate sanitation and hygiene, which might lead to higher anemia prevalence. The objective was to determine the association between anemia with poor housing quality among the older Indian adult population (≥45 years) as per residence. Methods: This study analyzed the nationally representative dataset of the Longitudinal Ageing Study in India (LASI 2017–18, Wave-1). Bivariate analysis and logistic regression were conducted to show the association of anemia (outcome variable) with poor housing quality (explanatory variable). Multivariable logistic regression was conducted by adjusting for covariates as per their models. P value <0.05 was considered statistically significant. STATA version 17 was used for analysis. Results: Our study found that higher adjusted odds of having anemia among older Indian adults were observed among participants with overcrowding (AOR 1.30, 95%CI 1.19–1.42), having access to open/nonsanitary toilet facility (AOR 1.56, 95%CI 1.41–1.72), no electric supply (AOR 1.31, 95%CI 1.12–1.53), and overall poor housing quality (AOR 1.34, 95%CI 1.21–1.48). All of these associations were even higher in urban areas except for having access to open/nonsanitary toilet facilities, which was much higher in rural areas (AOR 1.61, 95%CI 1.45–1.79). Conclusion: Through a nationally representative large dataset, this study generated compelling evidence despite several obstacles indicating a positive association between anemia and poor housing quality among older Indian adults. It might raise awareness and assist individuals in steering clear of the negative effects of overcrowding, using open/nonsanitary toilet facilities, lack of electric supply, and overall housing quality on anemia status. It is advised to conduct additional research to determine temporality and causation. [ABSTRACT FROM AUTHOR]

ABSTRACT: Introduction: By scrutinizing the impact of job schedules, workplace culture and stress levels, our study aims to determine the prevalence of sleep disorders among various occupations and its associated factors. The findings promise to enhance the overall well-being, sleep quality and productivity in various occupational settings. Methods: This is an analytical cross-sectional study involving secondary data from the nationally representative Longitudinal Ageing Study in India (LASI Wave I 2017-18) of 35 Indian states and union territories with exception of Sikkim. The study included 59441 Indian volunteers who older than 45 years. Multivariable logistic regression analysis was conducted to study the association of sleep disorders among various occupations while accounting for other associated factors. Results: Prevalence of sleep disorders was higher among the females (12.66%), unemployed (13.34%), ≥ 60-yr age group (13.45%), those who lived in rural areas (12.35%), those who were illiterate (12.80%) and reported themselves to be widowed, separated or divorced (14.54%), people with no health insurance (11.74%), smokers (12.11%), without physical activity (12.67%) and also rated themselves as poor in the self-rated health status (26.77%). Alcohol consumption was not statistically significant factor for sleep disorders. Conclusions: There is an emerging need for targeted screening, prompt detection and early management of insomnia and other sleep disorders among the high-risk groups. Provision of accessible and affordable screening tools, training skills for early diagnosis at primary care level and/or proper referral services to higher centres form the cornerstone for adequate management of sleep disorders. [ABSTRACT FROM AUTHOR]