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Healthy Ageing in India

Kartavya Desk Staff

Syllabus: Population

Source: TH

Context: IISc Bengaluru launched the BHARAT study to establish India-specific biomarkers for healthy ageing. It aims to bridge gaps in diagnostics caused by Western-centric health data.

About Healthy Ageing in India:

What is Healthy Ageing?

Healthy ageing refers to maintaining physical, mental, and functional well-being in older age. It emphasizes quality of life, not just longer life. Biological age often differs from chronological age.

• Ageing is a continuous process marked by molecular and cellular changes like telomere shortening. Factors like early-life infections, pollution, and social support shape how one ages.

g., a 60-year-old may have the organ health of a 75-year-old.

Data & Statistics on Ageing in India:

Rising Elderly Population: By 2050, 20% of Indians (319 million) will be 60+ years. (UNFPA India)

Disease Burden: Parkinson’s disease in India projected to rise by 168%, dementia by 200%. (Lancet, 2024)

Gender Disparities: Women outlive men but face higher disability-adjusted life years (DALYs).

Economic Impact: Increasing elder dependency ratio burdens healthcare and pensions. E.g., NSSO 75th round shows only 28% of elderly have any formal pension.

Healthcare Gaps: Geriatric services are limited in PHCs and district hospitals. E.g., Less than 5% PHCs have geriatric OPD services (MoHFW survey).

Features of Healthy Ageing:

Functional Ability: Maintain ADLs (activities of daily living) like cooking, walking, bathing.

Resilience to Stress: Quick recovery from illness or physiological stress like surgeries.

Mental Wellbeing: Absence of depression, social isolation, and cognitive decline.

Preventive Biomarkers: Use indicators like CRP, HDL, or metabolite levels to detect sub-clinical ageing.

Contextual Health Standards: Culturally and biologically adapted parameters.

Why India Needs Focus on Healthy Ageing?

Rapid Demographic Transition: Ageing rate in India is faster than in many OECD countries.

E.g., Elderly dependency projected to rise to 35% in Kerala.

Mismatched Diagnostics: Western lab values don’t reflect Indian genetics and nutrition.

E.g., B12 “deficiency” is common due to vegetarian diet, but may not indicate pathology.

Social Security Void: Only a fraction of elderly receive pensions or health insurance.

E.g., Indira Gandhi Old Age Pension Scheme covers <20% of aged poor.

Rural-Urban Gaps: Rural elders lack access to health services, transport, and social care.

E.g., Tamil Nadu’s geriatric wards are concentrated in urban zones.

Intergenerational Strain: Shrinking family size reduces traditional care structures.

E.g., Increase in elder homes in Maharashtra and Karnataka.

Challenges in Ensuring Healthy Ageing:

Data Scarcity: Lack of Indian-specific longitudinal data on biomarkers and ageing.

E.g., Most data come from Western cohorts like Framingham or NHANES.

Cultural Resistance: Elders often distrust hospitals, AI-based tools, or early screening.

E.g., Refusal to undergo cancer screening in elderly from tribal belts.

Financial Constraints: Geriatric healthcare gets low budget priority.

E.g., NHM lacks a dedicated ageing component despite NPHCE.

Sampling Bias: Collecting data from healthy elders is difficult due to pre-existing illness.

E.g., BHARAT study flagged challenge of finding non-comorbid samples.

Environmental & Nutritional Burdens: Early-life infections and malnutrition affect ageing trajectories.

E.g., High childhood undernutrition leads to early-onset diabetes in adults.

Initiatives Taken:

BHARAT Study by IISc: Builds India’s first bio-bank of ageing indicators across domains.

National Programme for Health Care of Elderly (NPHCE): Focus on geriatric clinics and home care.

Longitudinal Ageing Study of India (LASI): Tracks elder health, social trends, and functional abilities.

Senior Citizen Health Insurance (RSBY, AB PM-JAY): Includes coverage for common elder illnesses.

Geriatric Courses under AYUSH & MBBS: Introduced geriatrics as a super-specialty and PG subject.

Way Ahead:

Create India-Specific Health Benchmarks: Adjust CRP, HDL, B12, and BP cut-offs to Indian baselines.

Expand BHARAT Nationally: Cover all ecological, ethnic, and dietary zones in India.

Use AI for Predictive Diagnostics: Model ageing patterns and organ decline early. g., Liver or kidney age prediction for better intervention timing.

Geriatric Literacy Campaigns: Sensitize public about healthy ageing practices. g., Campaigns via ASHA/Anganwadi workers.

Convergence with NDHM: Integrate elderly biometric and clinical data into Ayushman Bharat Digital Mission.

Conclusion:

India’s rapidly ageing population demands urgent attention to context-specific, data-backed health interventions. Initiatives like the BHARAT Study are timely steps toward achieving functional longevity rather than just extended life expectancy. Investing in preventive elder care today ensures a healthier, more productive ageing population tomorrow.

AI-assisted content, editorially reviewed by Kartavya Desk Staff.

About Kartavya Desk Staff

Articles in our archive published before our editorial team was expanded. Legacy content is periodically reviewed and updated by our current editors.

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