Socioeconomic Inequalities in the Prevalence of Non-Communicable Diseases among Older Adults in India.
Bikash KhuraParimala MohantyLipilekha PatnaikKeerti Bhusan PradhanJagdish KhubchandaniBijaya Kumar PadhiPublished in: Geriatrics (Basel, Switzerland) (2022)
Understanding socioeconomic inequalities in non-communicable disease prevalence and preventive care usage can help design effective action plans for health equality programs among India's aging population. Hypertension (HTN) and diabetes mellitus (DM) are frequently used as model non-communicable diseases for research and policy purposes as these two are the most prevalent NCDs in India and are the leading causes of mortality. For this investigation, data on 31,464 older persons (aged 60 years and above) who took part in the Longitudinal Ageing Survey of India (LASI: 2017-2018) were analyzed. The concentration index was used to assess socioeconomic inequality whereas relative inequalities indices were used to compare HTN, DM, and preventive care usage between the different groups of individuals based on socioeconomic status. The study reveals that wealthy older adults in India had a higher frequency of HTN and DM than the poor elderly. Significant differences in the usage of preventive care, such as blood pressure/blood glucose monitoring, were found among people with HTN or DM. Furthermore, economic position, education, type of work, and residential status were identified as important factors for monitoring inequalities in access to preventive care for HTN and DM. Disparities in non-communicable diseases can be both a cause and an effect of inequality across social strata in India.
Keyphrases
- healthcare
- blood pressure
- quality improvement
- palliative care
- public health
- risk factors
- affordable care act
- glycemic control
- type diabetes
- air pollution
- heart rate
- electronic health record
- health information
- artificial intelligence
- metabolic syndrome
- community dwelling
- insulin resistance
- deep learning
- coronary artery disease
- big data