Literature DB >> 8651219

Determinants of hypertension in West Africa: contribution of anthropometric and dietary factors to urban-rural and socioeconomic gradients.

J S Kaufman1, E E Owoaje, S A James, C N Rotimi, R S Cooper.   

Abstract

The determinants of hypertension in West Africa have not been well defined. The authors sampled 598 participants aged 45 years or more from a recent population-based survey in southwest Nigeria (190 rural men and women, 205 urban poor men and women, and 203 retired railway workmen). The estimated mean age was 61 (10) years. Mean pressures were low relative to westernized societies: systolic blood pressure = 124 (24) mmHg, diastolic blood pressure = 72 (13) mmHg. Both men and women were remarkably lean: body mass index = 21.3 (3.6) and 23.0 (5.2) kg/m2, respectively. Hypertension prevalence increased across the gradient from rural farmers to urban poor to railway workers: 14, 25, and 29 percent, respectively, had a blood pressure of 140/90 mmHg or greater, and 3, 11, and 14 percent, respectively, had a blood pressure of 160/95 mmHg or greater (p for trend < 0.01 for both cutpoints). On the basis of a 24-hour urine sample, daily electrolyte excretion was 110 (57) mEq of sodium and 46 (24) mEq of potassium. Mean sodium:potassium ratio was 2.6 (1.0) and was higher among the urban residents (p < 0.01) and correlated with systolic and diastolic pressures (r = 0.16-0.18, p < 0.01). These findings provide quantitative estimates of the impact of known hypertension risk factors in West Africa and demonstrate the basis for increased prevalence with urbanization and associated economic and dietary change. These results also provide support for recommendations for prevention in West Africa and provide a benchmark against which to compare populations in the African diaspora.

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Year:  1996        PMID: 8651219     DOI: 10.1093/oxfordjournals.aje.a008708

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  35 in total

Review 1.  Hypertension treatment and control in sub-Saharan Africa: the epidemiological basis for policy.

Authors:  R S Cooper; C N Rotimi; J S Kaufman; W F Muna; G A Mensah
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2.  The prevalence of hypertension in seven populations of west African origin.

Authors:  R Cooper; C Rotimi; S Ataman; D McGee; B Osotimehin; S Kadiri; W Muna; S Kingue; H Fraser; T Forrester; F Bennett; R Wilks
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Review 3.  Hypertension and overweight/obesity in Ghanaians and Nigerians living in West Africa and industrialized countries: a systematic review.

Authors:  Yvonne Commodore-Mensah; Laura J Samuel; Cheryl R Dennison-Himmelfarb; Charles Agyemang
Journal:  J Hypertens       Date:  2014-03       Impact factor: 4.844

4.  Increased incidence of prostate cancer in Nigerians.

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5.  Waist Circumference, Body Mass Index, and ESRD in the REGARDS (Reasons for Geographic and Racial Differences in Stroke) Study.

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6.  Blood pressure, prevalence of hypertension and hypertension related complications in Nigerian Africans: A review.

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7.  An overview of cardiovascular risk factor burden in sub-Saharan African countries: a socio-cultural perspective.

Authors:  Rhonda BeLue; Titilayo A Okoror; Juliet Iwelunmor; Kelly D Taylor; Arnold N Degboe; Charles Agyemang; Gbenga Ogedegbe
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Review 8.  Epidemic of hypertension in Ghana: a systematic review.

Authors:  William K Bosu
Journal:  BMC Public Health       Date:  2010-07-14       Impact factor: 3.295

9.  Body size and blood pressure: an analysis of Africans and the African diaspora.

Authors:  Francesco P Cappuccio; Sally M Kerry; Adebowale Adeyemo; Amy Luke; Albert G B Amoah; Pascal Bovet; Myles D Connor; Terrence Forrester; Jean-Pierre Gervasoni; Gisela Kimbally Kaki; Jacob Plange-Rhule; Margaret Thorogood; Richard S Cooper
Journal:  Epidemiology       Date:  2008-01       Impact factor: 4.822

10.  Blood pressure patterns in relation to geographic area of residence: a cross-sectional study of adolescents in Kogi state, Nigeria.

Authors:  Chukwunonso E C C Ejike; Chidi E Ugwu; Lawrence U S Ezeanyika; Ayo T Olayemi
Journal:  BMC Public Health       Date:  2008-12-16       Impact factor: 3.295

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