From: Determinants of systemic hypertension in older adults in Africa: a systematic review
Primary Reference | Country | Study year | Type of participants | % Participation rate of eligible sample | % Female | % urban | % aged 70+ years | Mean age ± sd | % currently married | % no education | Number whose hypertension status assessed | % males with hypertension | % females with hypertension | % total subjects with hypertension | Overall risk of study bias |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Abegunde 2013 [24] | Nigeria |  | adults aged ≥60 years | 98.4 | 61.1 | 50.2 | 57.9 | 72.2 ± 9.5 (urban), 70.8 ± 8.1 (rural) | 63.0 | 93.8 | 600 |  |  | 36.5 | Low |
Dewhurst 2013 [25] | Tanzania | 2010 | Rural cohort aged ≥70 years (DSS) | 93.5 | 56.3 | 0.0 | 100.0 |  |  |  | 2223 | 62.2 | 75.8 | 69.9 | Low |
Guerchet 2012A [17] | CAR | 2009 | adults aged ≥65 years | 96.3 | 58.1 | 100.0 | 59.9 | 72.6 ± 6.1 | 41.6 |  | 461 | 47.2 | 62.7 | 56.2 | Low |
Guerchet 2012B [17] | Congo | 2009 | adults aged ≥65 years | 96.3 | 61.9 | 100.0 | 72.0 | 74.4 ± 6.7 | 38.1 |  | 515 | 66.3 | 76.2 | 72.4 | Low |
Hammami 2011 [26] | Tunisia | 2009 | Elderly aged ≥65 years | 100 | 66.2 | 86.3 | 62.0 | 72.3 ± 7.4 | 60.0 | 76.9 | 598 | 45.0 | 55.6 | 52.0 | Low |
Hien 2014 [27] | Burkina Faso | 2012 | Elderly aged ≥60 years | 100 | 44.7 | 100.0 | 39.3 | 69 ± 7 | 58.7 | 54.1 | 389 | 79.1 | 86.2 | 82.3 | Low |
Iribhogbe 2013 [28] | Nigeria | 2012 | church attendants aged ≥50 years | 100.0 | 50.0 |  | 23.5 | 67.55 ± 16.61 |  |  | 200 | 58.0 | 35.0 | 46.5 | High |
Koopman 2012 [29] | Ghana | 2010 | registered inhabitants ≥50 years | 85.4 | 48.1 |  | 35.3 |  |  |  | 924 | 25.6 | 22.5 | 24.1 | Low |
Macia 2012 [30] | Senegal | 2009 | adults aged ≥50 years | NR | 47.4 | 100.0 | 19.2 |  | 74.4 | 45.6 | 500 | 63.9 | 67.1 | 65.4 | Moderate |
Mathenge 2010 [31] | Kenya | 2008 | adults aged ≥50 years | 87.7 | 52.3 | 32.7 | 26.4 |  |  | 33.1 | 4396 |  |  | 50.1 | Low |
Minicuci 2014 [22] | Ghana | 2008 | adults aged ≥50 years | 95.9 | 50.3 | 40.6 | 32.5 |  | 59.8 | 54.0 | 4724 | 51.5 | 50.7 | 51.1 | Low |
Mkhize 2011 [32] | South Africa | 2008 | elderly persons aged ≥60 years |  | 83.0 |  |  |  |  |  | 270 | 82.6 | 91.5 | 90.0 | Low |
Mugisha 2013 [33] | Uganda | 2013 | rural adults aged ≥50 years | 72.3 | 58.2 | 0.0 | 27.7 | median 62 | 48.5 | 28.0 | 1449 | 36.5 | 38.3 | 37.5 | Moderate |
Nuertey 2017 [34] | Ghana | 2014 | registered members of the national pensioners association | 93.0 | 31.4 | Â | 28.5 | Â | 73.0 | 12.1 | 4439 | Â | Â | 47.8 | High |
Osman 2017 [35] | Ghana | 2016 | free-living adults aged ≥65 years | 100.0 | 66.3 |  |  |  | 46.0 | 51.0 | 400 | 57.8 | 52.5 | 54.3 | High |
Peltzer 2013 [23] | South Africa | 2008 | adults aged ≥50 years | 60 | 57.3 | 66.7 | 23.8 |  | 53.3 | 25.4 | 3672 | 74.4 | 79.6 | 77.4 | Moderate |
Pilleron 2017A [36] | CAR | 2012 | adults aged ≥65 years | 94.7 | 62.2 | 51.5 | 60.4 | 72.7 ± 6.4 | 34.3 |  | 967 |  |  | 53.7 | Low |
Pilleron 2017B [36] | Congo | 2012 | adults aged ≥65 years | 94.7 | 60.9 | 48.7 | 66.8 | 73.5 ± 6.7 | 38.8 |  | 1023 |  |  | 68.0 | Low |
Raji 2017 [37] | Nigeria | 2007 | elderly cohort aged ≥65 years | 76.8 | 55.1 | 37.4 | 79.0 | 76.9 ± 8.4 | 55.7 | 44.8 | 1469 | 62.0 | 70.7 | 66.8 | Moderate |
Scholten 2011 [38] | Uganda | 2010 | adults aged ≥50 years | > 99% | 61.2 |  | 34.9 |  | 32.4 | 24.0 | 510 | 30.3 | 34.6 | 32.9 | Low |
Tianyi 2017 [39] | Cameroon | 2013 | rural adults aged ≥50 years |  | 68.9 | 0.0 | 24.2 | 62.7 ± 9 | 89.4 | 82.0 | 501 | 60.9 | 55.7 | 57.3 | Low |