Hypertension in Rural India: The Contribution of Socioeconomic Position

Author:

Thrift Amanda G.1ORCID,Ragavan Rathina Srinivasa1,Riddell Michaela A.1ORCID,Joshi Rohina2ORCID,Thankappan K. R.3ORCID,Chow Clara24ORCID,Oldenburg Brian5ORCID,Mahal Ajay S.67ORCID,Kalyanram Kartik8ORCID,Kartik Kamakshi8ORCID,Suresh Oduru18ORCID,Mini G. K.39ORCID,Ismail Jordan1,Gamage Dilan Giguruwa1ORCID,Hasan Aniqa1,Srikanth Velandai K.10ORCID,Thomas Nihal11ORCID,Maulik Pallab K.1213ORCID,Guggilla Rama K.14ORCID,Evans Roger G.15ORCID

Affiliation:

1. School of Clinical Sciences at Monash Health Monash University Melbourne Australia

2. The George Institute for Global Health University of New South Wales Australia

3. Achutha Menon Centre for Health Science Studies Sree Chitra Tirunal Institute for Medical Sciences and Technology Trivandrum Kerala, India

4. Department of Cardiology Westmead Hospital Sydney Australia

5. Melbourne School of Population and Global Health University of Melbourne Carlton Australia

6. School of Public Health and Preventative Medicine Monash University Melbourne Australia

7. Nossal Institute for Global Health Melbourne School of Population and Global Health University of Melbourne Carlton Australia

8. Rishi Valley Rural Health Centre Chittoor District Andhra Pradesh India

9. Global Institute of Public Health Ananthapuri Hospitals and Research Institute Trivandrum Kerala India

10. Peninsula Clinical School Central Clinical School Monash University Frankston Australia

11. Department of Endocrinology, Diabetes and Metabolism Christian Medical College Vellore Tamil Nadu India

12. George Institute for Global Health New Delhi India

13. George Institute for Global Health–Oxford University Oxford United Kingdom

14. Department of Population Medicine and Civilization Diseases Prevention Faculty of Medicine With the Division of Dentistry and Division of Medical Education in English Medical University of Bialystok Bialystok Poland

15. Cardiovascular Disease Program Biomedicine Discovery Institute, and Department of Physiology Monash University Melbourne Australia

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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