Hypertension in Rural India: The Contribution of Socioeconomic Position. Issue 7 (9th April 2020)

• Record Type: Journal Article
• Authors: Thrift, Amanda G.; Ragavan, Rathina Srinivasa; Riddell, Michaela A.; Joshi, Rohina; Thankappan, K. R.; Chow, Clara; Oldenburg, Brian; Mahal, Ajay S.; Kalyanram, Kartik; Kartik, Kamakshi; Suresh, Oduru; Mini, G. K.; Ismail, Jordan; Gamage, Dilan Giguruwa; Hasan, Aniqa; Srikanth, Velandai K.; Thomas, Nihal; Maulik, Pallab K.; Guggilla, Rama K.; Evans, Roger G.
• Is Part Of: Journal of the American Heart Association. Volume 9:Issue 7(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-04-09
• Subjects: education -- lifestyle -- low‐to‐middle income -- risk factors -- socioeconomic position; Heart -- Diseases -- Periodicals; Cardiovascular system -- Diseases -- Periodicals; Cerebrovascular disease -- Periodicals; Cardiology -- Periodicals; 616.1
• DOI: 10.1161/JAHA.119.014486
• Languages: English
• ISSNs: 2047-9980

Abstract

Abstract : Background: Various indicators of socioeconomic position (SEP) may have opposing effects on the risk of hypertension in disadvantaged settings. For example, high income may reflect sedentary employment, whereas greater education may promote healthy lifestyle choices. We assessed whether education modifies the association between income and hypertension in 3 regions of South India at different stages of epidemiological transition. Methods and Results: Using a cross‐sectional design, we randomly selected villages within each of rural Trivandrum, West Godavari, and Rishi Valley. Sampling was stratified by age group and sex. We measured blood pressure and anthropometry and administered a questionnaire to identify lifestyle factors and SEP, including education, literacy, and income. Logistic regression was used to assess associations between various components of SEP and hypertension, and interaction analyses were used to determine whether educational attainment modified the association between income and hypertension. Trivandrum, the region of highest SEP, had the greatest prevalence of hypertension, whereas Rishi Valley, the lowest SEP region, had the least. Overall, greater income was associated with greater risk of hypertension. In interaction analyses, there was no evidence that educational attainment modified the association between income and hypertension. Conclusions: Education is widely considered to ameliorate the risk of hypertension in high‐income countries. Why this effect is absent in rural India merits investigation.