The Association of Socioeconomic Status With Hypertension in 76 Low- and Middle-Income Countries
| dc.contributor.author | Kirschbaum, Tabea K. | |
| dc.contributor.author | Sudharsanan, Nikkil | |
| dc.contributor.author | Manne-Goehler, Jennifer M. | |
| dc.contributor.author | De Neve, Jan Walter | |
| dc.contributor.author | Lemp, Julia Margarete | |
| dc.contributor.author | Theilmann, Michaela | |
| dc.contributor.author | Marcus, Maja Emilia | |
| dc.contributor.author | Ebert, Cara | |
| dc.contributor.author | Chen, Simiao | |
| dc.contributor.author | Yoosefi, Moein | |
| dc.contributor.author | Mehio-Sibai, Abla Mehio | |
| dc.contributor.author | Rouhifard, Mahtab | |
| dc.contributor.author | Moghaddam, Sahar Saeedi | |
| dc.contributor.author | Mayige, Mary T. | |
| dc.contributor.author | Martins, João Soares | |
| dc.contributor.author | Lunet, Nuno | |
| dc.contributor.author | Jorgensen, Jutta Mari Adelin | |
| dc.contributor.author | Houehanou, Corine Yessito | |
| dc.contributor.author | Farzadfar, Farshad | |
| dc.contributor.author | Damasceno, A. Antonio Moura | |
| dc.contributor.author | Bovet, Pascal | |
| dc.contributor.author | Bahendeka, Silver Karaireho | |
| dc.contributor.author | Aryal, Krishna Kumar | |
| dc.contributor.author | Andall-Brereton, Glennis M. | |
| dc.contributor.author | Davies, Justine Ina | |
| dc.contributor.author | Atun, Rifat Ali | |
| dc.contributor.author | Vollmer, Sebastian J. | |
| dc.contributor.author | Bärnighausen, Till Winfried | |
| dc.contributor.author | Jaacks, Lindsay M. | |
| dc.contributor.author | Geldsetzer, Pascal | |
| dc.contributor.department | Epidemiology and Population Health (EPHD) | |
| dc.contributor.faculty | Faculty of Health Sciences (FHS) | |
| dc.contributor.institution | American University of Beirut | |
| dc.date.accessioned | 2025-01-24T11:35:01Z | |
| dc.date.available | 2025-01-24T11:35:01Z | |
| dc.date.issued | 2022 | |
| dc.description.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 | |
| dc.identifier.doi | https://doi.org/10.1016/j.jacc.2022.05.044 | |
| dc.identifier.eid | 2-s2.0-85135687063 | |
| dc.identifier.pmid | 35981824 | |
| dc.identifier.uri | http://hdl.handle.net/10938/28274 | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Inc. | |
| dc.relation.ispartof | Journal of the American College of Cardiology | |
| dc.source | Scopus | |
| dc.subject | Education | |
| dc.subject | Household wealth | |
| dc.subject | Hypertension | |
| dc.subject | Low- and middle-income countries | |
| dc.subject | Socioeconomic gradient | |
| dc.subject | Adult | |
| dc.subject | Cross-sectional studies | |
| dc.subject | Developing countries | |
| dc.subject | Humans | |
| dc.subject | Income | |
| dc.subject | Male | |
| dc.subject | Prevalence | |
| dc.subject | Social class | |
| dc.subject | Socioeconomic factors | |
| dc.subject | Antihypertensive agent | |
| dc.subject | Article | |
| dc.subject | Body mass | |
| dc.subject | Caribbean | |
| dc.subject | Cross-sectional study | |
| dc.subject | Diastolic blood pressure | |
| dc.subject | Eastern hemisphere | |
| dc.subject | Educational status | |
| dc.subject | Europe | |
| dc.subject | Female | |
| dc.subject | Gross national product | |
| dc.subject | Household income | |
| dc.subject | Human | |
| dc.subject | Low income country | |
| dc.subject | Major clinical study | |
| dc.subject | Middle income country | |
| dc.subject | Physical activity | |
| dc.subject | Rural area | |
| dc.subject | Social status | |
| dc.subject | South africa | |
| dc.subject | South and central america | |
| dc.subject | Southeast asia | |
| dc.subject | Systolic blood pressure | |
| dc.subject | Western asia | |
| dc.subject | Developing country | |
| dc.subject | Socioeconomics | |
| dc.title | The Association of Socioeconomic Status With Hypertension in 76 Low- and Middle-Income Countries | |
| dc.type | Article |
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