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The Association of Socioeconomic Status With Hypertension in 76 Low- and Middle-Income Countries Publisher Pubmed



Kirschbaum TK1 ; Sudharsanan N1, 2 ; Mannegoehler J3 ; De Neve JW1 ; Lemp JM1 ; Theilmann M1 ; Marcus ME4 ; Ebert C5 ; Chen S1, 6 ; Yoosefi M7 ; Sibai AM8 ; Rouhifard M7 ; Moghaddam SS9 ; Mayige MT10 Show All Authors
Authors
  1. Kirschbaum TK1
  2. Sudharsanan N1, 2
  3. Mannegoehler J3
  4. De Neve JW1
  5. Lemp JM1
  6. Theilmann M1
  7. Marcus ME4
  8. Ebert C5
  9. Chen S1, 6
  10. Yoosefi M7
  11. Sibai AM8
  12. Rouhifard M7
  13. Moghaddam SS9
  14. Mayige MT10
  15. Martins JS11
  16. Lunet N12
  17. Jorgensen JMA13
  18. Houehanou C14
  19. Farzadfar F7
  20. Damasceno A15
  21. Bovet P16, 17
  22. Bahendeka SK18
  23. Aryal KK19
  24. Andallbrereton G20
  25. Davies JI21, 22, 23
  26. Atun R24
  27. Vollmer S4
  28. Barnighausen T1
  29. Jaacks LM24, 25, 26
  30. Geldsetzer P27, 28
Show Affiliations
Authors Affiliations
  1. 1. Heidelberg Institute of Global Health (HIGH), Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany
  2. 2. Professorship of Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, Munich, Germany
  3. 3. Division of Infectious Diseases, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States
  4. 4. Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Gottingen, Germany
  5. 5. RWI – Leibniz Institute for Economic Research, Berlin, Germany
  6. 6. Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
  7. 7. Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  8. 8. Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
  9. 9. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  10. 10. National Institute for Medical Research, Dar es Salaam, Tanzania
  11. 11. Faculty of Medicine and Health Sciences, Universidade Nacional Timor Lorosae, Dili, Timor-Leste
  12. 12. Departamento de Ciencias da Saude Publica e Forenses e Educacao Medica, Faculdade de Medicina da Universidade do Porto, Porto, Portugal
  13. 13. D-Tree International, Boston, Massachusetts, United States
  14. 14. Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
  15. 15. Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
  16. 16. University Center for Primary Care and Public Health (Unisante), Lausanne, Switzerland
  17. 17. Ministry of Health, Victoria, Seychelles
  18. 18. Saint Francis Hospital, Nsambya, Kampala, Uganda
  19. 19. Monitoring Evaluation and Operational Research Project, Abt Associates, Kathmandu, Nepal
  20. 20. Independent consultant, Port of Spain, Trinidad and Tobago, Trinidad and Tobago
  21. 21. Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom
  22. 22. Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
  23. 23. Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
  24. 24. Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States
  25. 25. Global Academy of Agriculture and Food Security, The University of Edinburgh, Midlothian, United Kingdom
  26. 26. Public Health Foundation of India, New Delhi, India
  27. 27. Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, California, United States
  28. 28. Chan Zuckerberg Biohub, San Francisco, California, United States

Source: Journal of the American College of Cardiology Published:2022


Abstract

Background: Effective equity-focused health policy for hypertension in low- and middle-income countries (LMICs) requires an understanding of the condition's current socioeconomic gradients and how these are likely to change in the future as countries develop economically. Objectives: This cross-sectional study aimed to determine how hypertension prevalence in LMICs varies by individuals’ education and household wealth, and how these socioeconomic gradients in hypertension prevalence are associated with a country's gross domestic product (GDP) per capita. Methods: We pooled nationally representative household survey data from 76 LMICs. We disaggregated hypertension prevalence by education and household wealth quintile, and used regression analyses to adjust for age and sex. Results: We included 1,211,386 participants in the analysis. Pooling across all countries, hypertension prevalence tended to be similar between education groups and household wealth quintiles. The only world region with a clear positive association of hypertension with education or household wealth quintile was Southeast Asia. Countries with a lower GDP per capita had, on average, a more positive association of hypertension with education and household wealth quintile than countries with a higher GDP per capita, especially in rural areas and among men. Conclusions: Differences in hypertension prevalence between socioeconomic groups were generally small, with even the least educated and least wealthy groups having a substantial hypertension prevalence. Our cross-sectional interaction analyses of GDP per capita with the socioeconomic gradients of hypertension suggest that hypertension may increasingly affect adults in the lowest socioeconomic groups as LMICs develop economically. © 2022 American College of Cardiology Foundation
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