Prevalence and correlates of major injuries among older adults in India: Results of a national cross-sectional survey in 2017-2018

Abstract

Background: The study aimed to examine the prevalence and correlates of injury among older adults in India. Methods: The study included 72,262 individuals (45 years and older) from the cross-sectional 2017-2018 Longitudinal Ageing Study in India (LASI) Wave 1.Results: More than one in ten participants (12.9%) had a major injury in the past 2 years, 2.3% had a road traffic injury, 9.4% had a fall injury and 1.9% had other injuries in the past 2 years. In adjusted logistic regression analysis, having 5-9 years education (Adjusted Odds Ratio-AOR: 1.14, 95% Confidence Interval-CI: 1.01-1.79), having sleep problems (AOR: 1.39, 95% CI: 1.23-1.57), having two or more chronic conditions (AOR: 1.21, 95% CI: 1.05-1.39), functional disability (AOR: 1.19, 95% CI: 1.04-1.35), pain (AOR: 1.81, 95% CI: 1.63-2.02), binge drinking (AOR: 1.27, 95% CI: 1.03-1.55), tobacco use (AOR: 1.22, 95% CI: 1.10-1.36), poor near vision (AOR: 1.17, 95% CI: 1.03-1.33), and hearing problems (AOR: 1.30, 95% CI: 1.11-1.52) were positively associated with past two years major injury. Compared to Scheduled tribe, Scheduled caste (AOR: 0.65, 95% CI: 0.54-0.78), and other backward class (AOR: 0.85, 95% CI: 0.76-0.96), having high subjective socioeconomic status (AOR: 0.85, 95% CI: 0.75-0.97), and urban residence (AOR: 0.82, 95% CI: 0.73-0.93) were negatively associated with past two years major injury. Younger age and male sex were associated with road traffic injury and older age and female sex with were associated with fall injury. Rural residence was associated with fall and other injury. Poor grip strength was positively associated with fall and other injury. Having depressive symptoms and vigorous physical activity were associated with other injury Conclusion: More than one in ten participants (12.9%) had a major injury in the past 2 years, and several risk factors were found that can be utilized in injury prevention strategies in India.

COVID-Somnia: A Multicentric Study on Sleep Disturbances During the COVID-19 Pandemic With Spatial Mapping of Hotspots

“…Sleep latency of more than 20 minutes falls under the category of insomnia. In a large (n=72,262) pre-pandemic study conducted in India, Pengpid et al ( 2021) [22] found the prevalence of insomnia to be 12.7% among adults. Certainly, the problem has increased during the pandemic.…”

“…In the present study, those with a BMI of more than 25 had a slightly higher prevalence of disturbed sleep compared to those with a BMI of less than 25, but this was not statistically significant. Studies in the past have linked disturbed sleep to higher BMI, being overweight, or being obese [22].…”