The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Hypertension in Sub-Saharan Africa: Cross-Sectional Surveys in Four Rural and Urban Communities
Open accessAbstract
BACKGROUND: Cardiovascular disease (CVD) is the leading cause of adult mortality in low-income countries but data on the prevalence of cardiovascular risk factors such as hypertension are scarce, especially in sub-Saharan Africa (SSA). This study aims to assess the prevalence of hypertension and determinants of blood pressure in four SSA populations in rural Nigeria and Kenya, and urban Namibia and Tanzania. METHODS AND FINDINGS: We performed four cross-sectional household surveys in Kwara State, Nigeria; Nandi district, Kenya; Dar es Salaam, Tanzania and Greater Windhoek, Namibia, between 2009-2011. Representative population-based samples were drawn in Nigeria and Namibia. The Kenya and Tanzania study populations consisted of specific target groups. Within a final sample size of 5,500 households, 9,857 non-pregnant adults were eligible for analysis on hypertension. Of those, 7,568 respondents ≥ 18 years were included. The primary outcome measure was the prevalence of hypertension in each of the populations under study. The age-standardized prevalence of hypertension was 19.3% (95%CI:17.3-21.3) in rural Nigeria, 21.4% (19.8-23.0) in rural Kenya, 23.7% (21.3-26.2) in urban Tanzania, and 38.0% (35.9-40.1) in urban Namibia. In individuals with hypertension, the proportion of grade 2 (≥ 160/100 mmHg) or grade 3 hypertension (≥ 180/110 mmHg) ranged from 29.2% (Namibia) to 43.3% (Nigeria). Control of hypertension ranged from 2.6% in Kenya to 17.8% in Namibia. Obesity prevalence (BMI ≥ 30) ranged from 6.1% (Nigeria) to 17.4% (Tanzania) and together with age and gender, BMI independently predicted blood pressure level in all study populations. Diabetes prevalence ranged from 2.1% (Namibia) to 3.7% (Tanzania). CONCLUSION: Hypertension was the most frequently observed risk factor for CVD in both urban and rural communities in SSA and will contribute to the growing burden of CVD in SSA. Low levels of control of hypertension are alarming. Strengthening of health care systems in SSA to contain the emerging epidemic of CVD is urgently needed.
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1 retracted
Dieting to reduce body weight for controlling hypertension in adults
Mulrow, C. D., Chiquette, E., Angel, L., Cornell, J., Summerbell, C., Anagnostelis, B., Brand, M., & Grimm, R. H. (1998) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000484 · Cited by 73
RetractedGrundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,947
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2011) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 13,988
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386
Global burden of hypertension: analysis of worldwide data
Kearney, P. M., Whelton, M., Reynolds, K., Muntner, P., Whelton, P. K., & He, J. (2005) · The Lancet · doi:10.1016/s0140-6736(05)17741-1 · Cited by 8,594
Global status report on noncommunicable diseases 2010.
Alwan, A. (2011) · Cited by 8,494
Lopez, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T., & Murray, C. J. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68770-9 · Cited by 5,630
Selected major risk factors and global and regional burden of disease
Ezzati, M., Lopez, A. D., Rodgers, A., Vander Hoorn, S., & Murray, C. J. (2002) · The Lancet · doi:10.1016/s0140-6736(02)11403-6 · Cited by 3,594
Cited by
Burden of Undiagnosed Hypertension in Sub-Saharan Africa: A Systematic Review and Meta-Analysis
Ataklte, F., Erqou, S., Kaptoge, S., Taye, B., Echouffo-Tcheugui, J. B., & Kengne, A. P. (2015) · Hypertension · doi:10.1161/hypertensionaha.114.04394 · Cited by 680
Sarki, A. M., Nduka, C. U., Stranges, S., Kandala, N.-B., & Uthman, O. A. (2015) · Medicine · doi:10.1097/md.0000000000001959 · Cited by 316
Ojangba, T., Boamah, S., Miao, Y., Guo, X., Fen, Y., Agboyibor, C., Yuan, J., & Dong, W. (2023) · The Journal of Clinical Hypertension · doi:10.1111/jch.14653 · Cited by 136
Nashilongo, M. M., Singu, B., Kalemeera, F., Mubita, M., Naikaku, E., Baker, A., Ferrario, A., Godman, B., Achieng, L., & Kibuule, D. (2017) · Cardiovascular Drugs and Therapy · doi:10.1007/s10557-017-6756-8 · Cited by 87
Liwa, A. C., Smart, L. R., Frumkin, A., Epstein, H.-A. B., Fitzgerald, D. W., & Peck, R. N. (2014) · Current Hypertension Reports · doi:10.1007/s11906-014-0437-9 · Cited by 84
Metadata
- Authors
- Hendriks, M. E., Wit, F. W. N. M., Roos, M. T. L., Brewster, L. M., Akande, T. M., de Beer, I. H., Mfinanga, S. G., Kahwa, A. M., Gatongi, P., Van Rooy, G., Janssens, W., Lammers, J., Kramer, B., Bonfrer, I., Gaeb, E., van der Gaag, J., Rinke de Wit, T. F., Lange, J. M. A., & Schultsz, C.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-03-12
- Volume
- 7
- Issue
- 3
- Pages
- e32638
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2168176333
- Cited by
- 417
- References
- 61
- FWCI
- 22.64
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hendriks, M. E., Wit, F. W. N. M., Roos, M. T. L., Brewster, L. M., Akande, T. M., de Beer, I. H., Mfinanga, S. G., Kahwa, A. M., Gatongi, P., Van Rooy, G., Janssens, W., Lammers, J., Kramer, B., Bonfrer, I., Gaeb, E., van der Gaag, J., Rinke de Wit, T. F., Lange, J. M. A., & Schultsz, C. (2012). Hypertension in Sub-Saharan Africa: Cross-Sectional Surveys in Four Rural and Urban Communities. PLoS ONE. https://doi.org/10.1371/journal.pone.0032638
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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