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Hypertension in Rural India: The Contribution of Socioeconomic Position

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 mo...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428634/
https://www.ncbi.nlm.nih.gov/pubmed/32223389
http://dx.doi.org/10.1161/JAHA.119.014486
Descripción
Sumario: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.