Name of the Presenting Author:
Abstract Content (not more than 300 word, should include: Introduction, Objective, Methodology, critical findings & Conclusion):
Background:
This study aims to examine the prevalence of CVD, Diabetes, and Chronic Lung Diseases by occupation, health, and sociodemographic characteristics among older adults in India,
Data and Methods:
The study uses secondary data from Longitudinal Ageing Study in India” (LASI, WAVE-I, 2017–2018). Analysis based on a sample of older adults aged 45 years and above. Bivariate and multiple regression analyses have been carried out to understand the association between Occupation and selected NCDs (CVD, Chronic Lung Diseases, and Diabetes). Further Propensity score matching is used to understand the effect of Occupations on the prevalence of NCDs in Older Adults in India.
Findings:
Study shows that the prevalence of NCDs varies across different occupational categories. Non-workers have the highest prevalence of CVD at 33.79%, followed by Legislators and Professional Clerks at 31.13%, and Service, Craft, Plant, and Machine Workers have the lowest prevalence of CVD at 18%. Pertaining to Chronic lung diseases have the highest prevalence among Legislators and Professional Clerks at 7.27%, while Agriculture, Fishery, and Elementary (5.56%). Correspondingly, the occupational grouping of Service, Craft, Plant, and Machine Workers has the lowest prevalence of chronic lung diseases (4.81%).
After Matching the Treatment effect of Services, Craft, Plant, Machine Related Workers shown Significantly increase in the Prevalence of Chronic Lung Diseases and CVD as Compare to untreated group, when Professional/Legislature/Clerks/Managers, as a treatment then the effect on CVD and diabetes is Shows nearly 10%, and 6% more as Compare to untreated group.
Conclusion and Policy Implication:
The study revealed that occupation stands as an autonomous risk determinant for Chronic Diseases. Policymakers and Health Care Providers should think about occupational health and labor laws; there must be a multi-sectorial approach based on policies and direction to be aware of suc
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Address & Pincode of the Presenting Author:
International Institute For Population Sciences Mumbai