Nationwide study of survival among older adults and elderly population in terms of their sociodemographic and health-related factors

BACKGROUND: Survival analysis is a useful approach to study the effect of multimorbidity (simultaneous presence of multiple chronic conditions) on different risk factors. Multimorbidity is a growing health concern among older adults (age = 45–59) and elderly population (60+). In this article, we will examine Kaplan–Meier (K-M) estimates emphasizing survival “before the event of interest (age of onset/incidence of first morbidity among single and multimorbid)” happened. MATERIALS AND METHODS: Survival distribution was examined using the histogram. Nonparametric statistical tests such as Kolmogorov–Smirnov test, K-M survival estimator, and log-rank Chi-square tests along with Cox proportional hazard model were done to assess how survival distribution is behaving with study variables. RESULTS: The sample population showed negative skewness and was not normally distributed. Risk factors such as such as age, religion, residence, living arrangement, MPCE Quintile, marital status, education, regions, depression, childhood health, and tobacco consumption showed significant differences in the survival probabilities between the groups. CONCLUSION: The impact of the above perils can be reduced by incorporating healthy lifestyle choices, preventive care, effective disease management, and an age-friendly environment which promotes healthy aging.