Table 2.
Author | Year | Country | Study Type | Sample characteristics | Reported outcomes | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sample size | Male | Female | Average age | Healthy eating | Being active | Monitoring | Medication | Risk Reduction | Psychosocial | |||||
Observational studies | Awah [57] | 2008 | Cameroon | cross-sectional | 20 | 11 | 9 | 62.5 | x | |||||
Awah [15] | 2009 | Cameroon | cross-sectional | 65 | 30 | 35 | – | |||||||
Kassahun [43] | 2016 | Ethiopia | cross-sectional | 309 | 189 | 120 | 50 | x | x | |||||
Sorato [31] | 2016 | Ethiopia | cross-sectional | 194 | 95 | 99 | 50.3 | x | x | x | x | |||
Wabe [42] | 2011 | Ethiopia | cross-sectional | 384 | 186 | 161 | 48.3 | x | x | x | ||||
Bruce [50] | 2015 | Ghana | cross-sectional | 200 | 95 | 105 | – | x | x | |||||
de-Graft Aikins [23] | 2014 | Ghana | cross-sectional | 20 | 2 | 18 | 60 | x | x | x | x | |||
Doherty [27] | 2014 | Ghana | cross-sectional | 30 | 10 | 20 | 48.7 | x | ||||||
Mogre [30] | 2016 | Ghana | cross-sectional | 222 | 74 | 148 | 48.4 | x | x | |||||
Obirikorang [54] | 2016 | Ghana | cross-sectional | 630 | 243 | 387 | 55.2 | x | ||||||
Obirikorang [26] | 2016 | Ghana | cross-sectional | 543 | 232 | 311 | 51.1 | x | x | x | ||||
Matheka [44] | 2013 | Kenya | cross-sectional | 187 | – | – | – | x | ||||||
Adibe [38] | 2011 | Nigeria | cross-sectional | 314 | 136 | 178 | 43 | x | x | |||||
Adisa [24] | 2009 | Nigeria | cross-sectional | 121 | 60 | 61 | – | x | x | x | x | |||
Adisa [29] | 2011 | Nigeria | cross-sectional | 114 | 51 | 63 | 61.3 | x | x | x | x | |||
Awotibede [37] | 2016 | Nigeria | cross-sectional | 299 | 105 | 194 | 51.9 | x | ||||||
Ezuruike [48] | 2016 | Nigeria | cross-sectional | 112 | 43 | 69 | 46 | x | ||||||
Iwuala [47] | 2015 | Nigeria | cross-sectional | 100 | 38 | 62 | 59.9 | x | ||||||
Jackson [51] | 2015 | Nigeria | cross-sectional | 303 | 171 | 132 | 54.5 | x | ||||||
Ogbera [40] | 2011 | Nigeria | cross-sectional | 150 | 50 | 100 | 69.9 | x | x | x | x | |||
Onakpoya [49] | 2010 | Nigeria | cross-sectional | 83 | 32 | 51 | 57.5 | x | x | |||||
Oyetunde [52] | 2014 | Nigeria | cross-sectional | 102 | 35 | 67 | 59.6 | x | ||||||
Yusuff [46] | 2008 | Nigeria | cross-sectional | 200 | 110 | 90 | – | x | x | |||||
Jackson [36] | 2014 | Nigeria | cross-sectional | 303 | 132 | 171 | 50 | x | x | x | x | |||
Adeniyi [22] | 2015 | South Africa | cross-sectional | 17 | 6 | 11 | 58.5 | x | x | x | x | x | ||
Haque [53] | 2005 | South Africa | cross-sectional | – | – | – | – | x | ||||||
Matwa [55] | 2003 | South Africa | cross-sectional | 15 | 5 | 10 | 61.4 | x | ||||||
Mendenhall [56] | 2015 | South Africa | cross-sectional | 27 | – | 27 | 59 | x | ||||||
Nthangeni [33] | 2001 | South Africa | cross-sectional | 288 | 133 | 155 | 62 | x | x | |||||
Okonta [39] | 2014 | South Africa | cross-sectional | 217 | – | – | 51 | x | x | |||||
Steyl [35] | 2014 | South Africa | cross-sectional | 26 | 11 | 15 | 58.9 | x | x | x | ||||
Abdelgadir [45] | 2006 | Sudan | cross-sectional | 193 | 95 | 98 | 50 | x | ||||||
Kamuhabwa [32] | 2014 | Tanzania | cross-sectional | 469 | 171 | 298 | 54.9 | x | x | x | x | |||
Hijelm [34] | 2008 | Uganda | cross-sectional | 25 | 10 | 15 | – | x | x | x | x | |||
Mayega [28] | 2014 | Uganda | cross-sectional | 96 | 48 | 48 | 47.5 | x | x | |||||
Nielsen [41] | 2016 | Uganda | cross-sectional | 10 | 6 | 4 | 65.6 | x | x | x | ||||
Hijelm [25] | 2010 | Zimbabwe | cross-sectional | 21 | 10 | 11 | 48 | x | x | x | x | |||
Experimental studies | Awodele [21] | 2015 | Nigeria | pre-post, quasi-experimental | 152 | 47 | 105 | 65 | x | |||||
Baumann [18] | 2015 | Uganda | pre-post, quasi-experimental | 25 | 7 | 18 | 53 | x | x | x | ||||
Mash [20] | 2014 | South Africa | RCTs | 1570 | 411 | 1158 | 56.4 | x | x | x | x | |||
Muchiri [16] | 2015 | South Africa | RCTs | 41 | 5 | 36 | 59.4 | x | ||||||
Muchiri [17] | 2015 | x | ||||||||||||
van der Does [19] | 2013 | South Africa | RCTs | 84 | 68 | 16 | 51.6 | x | x | x | x | x |