Literature DB >> 29378852

Socioeconomic Status and Hypertension Control in Sub-Saharan Africa: The Multination EIGHT Study (Evaluation of Hypertension in Sub-Saharan Africa).

Marie Antignac1, Ibrahima Bara Diop2, Diane Macquart de Terline2, Kouadio Euloge Kramoh2, Dadhi M Balde2, Anastase Dzudie2, Beatriz Ferreira2, Martin Dèdonougbo Houenassi2, Dominique Hounsou2, Méo Stéphane Ikama2, Adama Kane2, Suzy Gisèle Kimbally-Kaki2, Samuel Kingue2, Charles Kouam Kouam2, Emmanuel Limbole2, Liliane Mfeukeu Kuate2, Jean Bruno Mipinda2, Roland N'Guetta2, Carol Nhavoto2, Zouwera Sesso2, Abdallahi Sidy Ali2, Ibrahim Ali Toure2, Pierre François Plouin2, Marie Cécile Perier2, Kumar Narayanan2, Jean Philippe Empana2, Xavier Jouven2.   

Abstract

Systemic hypertension is a rapidly growing epidemic in Africa. The role of socioeconomic status on blood pressure control has not been well studied in this part of the world. We, therefore, aimed to quantify the association of socioeconomic status both at the individual and at the country level with blood pressure control in Sub-Saharan Africa. We conducted a cross-sectional survey in urban clinics of 12 countries, both low income and middle income, in Sub-Saharan Africa. Standardized blood pressure measures were made among the hypertensive patients attending the clinics. Blood pressure control was defined as blood pressure <140/90 mm Hg, and hypertension grades were defined according to the European Society of Cardiology guidelines. A total of 2198 hypertensive patients (58.4±11.8 years; 39.9% men) were included. Uncontrolled hypertension was present in 1692 patients (77.4%), including 1044 (47.7%) with ≥grade 2 hypertension. The proportion of uncontrolled hypertension progressively increased with decreasing level of patient individual wealth, respectively, 72.8%, 79.3%, and 81.8% (P for trend, <0.01). Stratified analysis shows that these differences of uncontrolled hypertension according to individual wealth index were observed in low-income countries (P for trend, 0.03) and not in middle-income countries (P for trend, 0.26). In low-income countries, the odds of uncontrolled hypertension increased 1.37-fold (odds ratio, 1.37 [0.99-1.90]) and 1.88-fold (odds ratio, 1.88 [1.10-3.21]) in patients with middle and low individual wealth as compared with high individual wealth. Similarly, the grade of hypertension increased progressively with decreasing level of individual patient wealth (P for trend, <0.01). Strategies for hypertension control in Sub-Saharan Africa should especially focus on people in the lowest individual wealth groups who also reside in low-income countries.
© 2018 American Heart Association, Inc.

Entities:  

Keywords:  cardiology; developing countries; humans; hypertension; socioeconomic factors

Mesh:

Year:  2018        PMID: 29378852     DOI: 10.1161/HYPERTENSIONAHA.117.10512

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  21 in total

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3.  Antihypertensive strategies and hypertension control in Sub-Saharan Africa.

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7.  Hypertension control in integrated HIV and chronic disease clinics in Uganda in the SEARCH study.

Authors:  Dalsone Kwarisiima; Mucunguzi Atukunda; Asiphas Owaraganise; Gabriel Chamie; Tamara Clark; Jane Kabami; Vivek Jain; Dathan Byonanebye; Florence Mwangwa; Laura B Balzer; Edwin Charlebois; Moses R Kamya; Maya Petersen; Diane V Havlir; Lillian B Brown
Journal:  BMC Public Health       Date:  2019-05-06       Impact factor: 3.295

8.  Heart diseases and echocardiography in rural Tanzania: Occurrence, characteristics, and etiologies of underappreciated cardiac pathologies.

Authors:  Dominick M Raphael; Laurine Roos; Victor Myovela; Elisante Mchomvu; Jabir Namamba; Said Kilindimo; Winfrid Gingo; Christoph Hatz; Daniel H Paris; Maja Weisser; Richard Kobza; Martin Rohacek
Journal:  PLoS One       Date:  2018-12-26       Impact factor: 3.240

9.  Qualitative Study of Barriers to Adherence to Antihypertensive Medication among Rural Women in India.

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Journal:  PLoS One       Date:  2019-08-08       Impact factor: 3.240

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