Editorial Topic : Cardiac Risk Factors Among the Very Poor
Topic: GS-2 Mains (Health)
Question: What has been traditionally assumed about the prevalence of cardiovascular disease (CVD) risk factors among those living in extreme poverty in low and middle-income countries (LMICs)?
Or
Question : What are some historical reasons supporting the assumption of a low prevalence of CVD risk factors among the very poor?
- Assumed Low Prevalence:
- Historically, extreme poverty linked to lower calorie intake, plant-based diet, and higher physical activity, reducing CVD risk.
- Lifestyle patterns traditionally associated with decreased CVD risk factors.
- Reality Check:
- Recent study reveals presence of CVD risk factors (hypertension, diabetes, smoking, obesity, dyslipidaemia) among adults in extreme poverty.
- Importance of understanding true prevalence for effective health policy and care delivery prioritization.
- Defining Poverty and CVD Prevalence:
- Poverty stratified by World Bank income category; extreme poverty <$1.90/day.
- Prevalence examined across income levels: <$3.20, <$5.50, and >$5.50 per day.
- Men show higher hypertension and smoking prevalence; income gradient evident for diabetes and obesity.
- Access to Medicine:
- Poor lack access to essential medications: low rates of BP-lowering, blood glucose-lowering, and statin use.
- Hypertension, diabetes, and statin use remain low across poverty levels in low-income countries.
- Mitigation Initiatives:
- India’s National Programme for prevention & Control of Cancer, Diabetes, CVD, and Stroke prioritizes screening and treatment.
- State governments supplement with regional surveillance and intervention programs.
- Focus on primary healthcare and Universal Health Coverage aligns with 2018 Astana Declaration principles.
- Way Forward:
- Urgent need for vigorous public education on smoking hazards, particularly among the poor.
- Smoking, a major risk factor for diabetes, prevalent among the poor, necessitates targeted educational interventions.
- Evaluate effectiveness of education initiatives in modifying community behaviors and reducing CVD risk factors.
Editorial Topic : Has poverty really dropped to 5% in India?
GS-3 Mains : Economy : Poverty Estimation Methods:
Question: How do experts adjust poverty lines to account for inflation and global standards, and what implications does this have for poverty estimation?
Question: How does the large population of India affect the process of poverty estimation, and what strategies can be employed to mitigate this challenge?
Poverty Estimation Methods:
- Estimation based on income or consumption levels assessed by committees like Tendulkar and C Rangarajan.
- Household income or consumption below the Poverty Line is considered below the poverty line (BPL).
Tendulkar Committee Recommendations:
- Formed in 2009, focused on shifting poverty estimation from calorie consumption.
- Proposed uniform poverty line baskets for rural and urban areas and incorporation of private expenditure in education and health estimates.
Importance of Poverty Estimation:
- Constitutional Requirement: Aligns with India’s promise of an equitable society.
- Basis for Poverty Elimination: Guides government strategies to alleviate poverty.
- Evaluating Welfare Schemes: Assists in tracking the impact of government schemes.
Challenges in Poverty Estimation:
- Population Density: India’s large population complicates estimation.
- Poverty Line Basket: Identifying constituents challenging due to price variations.
- Disagreement Among Committees: Conflicting recommendations pose challenges.
- Lifestyle Differences: Varying eating habits and lifestyle patterns complicate estimation.
Current Poverty Status:
- NITI Aayog claims less than 5% of Indians live below the poverty line based on HCES 2022-23.
- Experts use Tendulkar line adjusted for inflation and World Bank’s poverty line, both indicating <5% extreme poverty.
Way Forward:
- Urgent need for poverty estimation to track government schemes and policies.
- Addressing challenges like population density and lifestyle differences essential for accurate estimation.
- Continued reliance on robust estimation methods crucial for guiding poverty alleviation efforts.