Figure 1
Flow diagram of the study selection process.
Table 1
Articles characteristics.
| AUTHORS | POPULATION AGE (YEARS) | PREVALENCE OF PREHTN | SAMPLE SIZE | RISKS FACTORS | STUDY COUNTRY |
|---|---|---|---|---|---|
| Redjala et al. 2021 [13] | 6–18 | 10.0¨% | 3562 | – overweight/obesity – >2 hours/day spent watching TV, internet and electronic games – parental hypertension or diabetes – shorter gestational age (33 – 36 weeks) – early birth, – reduced birth weight, – shorter breastfeeding | Algiers |
| Ongosi et al. 2020 [14] | 25–64 | Male: 49.0% Female: 43.7% | 593 | – men – overweight/obesity – Low physical activity, – Low fruit and vegetable intake | Kenya |
| Sungwa et al. 2020 [15] | 6–16 | 9.6% | 742 | – women – overweight/obesity – age > 10 years – eating fried food – drinking sugar soft drinks – not eating fruits | Tanzania |
| Umuerri et Aiwuyo 2020 [16] | ≥18 | 42.5% | 852 | – age – body mass index – place of residence – level of education – employment status – fruit intake | Nigeria |
| Katamba et al. 2020 [17] | 12–19 | 7.1% | 616 | Not evaluated | Uganda |
| Owiredu et al. 2019 [18] | ≥25 | 49.0% | 204 | – having lower level of education – not practicing at least 30 min daily walks – not exercising routinely – alcohol consumption | Ghana |
| Nsanya et al. 2019 [19] | 12–24 | 29% | 1596 | – men – obesity – age > 20 years – not eating fruits and vegetables | Tanzania and Uganda |
| Muhihi et al. 2018 [20] | 6–17 | 4.4% | 446 | – overweight/obesity – age > 10 | Tanzania |
| Osei-Yeboah et al. 2018 [21] | 22–59 | 52.68% | 112 | Not evaluated | Ghana |
| Bhimma et al. 2018 [22] | 16.2–21.7 | 29.7% | 575 | – overweight/obesity – male gender | South Africa |
| Msemo et al. 2018 [23] | 18–40 | 37.2% | 1247 | – increasing age, – obesity – haemoglobin levels | Tanzania |
| Ezeudu et al. 2018 [24] | 10–19 | 5.0% | 984 | – overweight/obesity – public school | Nigeria |
| Okpokowuruk et al. 2017 [25] | 3–17 | 2.5% | 200 | – age – BMI – waist circumference | Nigeria |
| Mosha et al. 2017 [26] | ≥15 | 36.2% | 9678 | – level of education – rural areas – overweight/obesity – Alcohol and tobacco consumption | Tanzania |
| Nwatu et al. 2017 [27] | ≥18 | 34.8% | 834 | – sex: male – BMI > 25 kg/m2 – age > 45 years – physical inactivity – impaired glucose tolerance | Nigeria |
| Muchanga et al. 2016 [28] | 40–60 | 38.5 % | 200 | – menopause – use of traditional medicine | Congo |
| Ezekwesili et al. 2016 [29] | 17–79 | 42.54% | 912 | Not evaluated | Nigeria |
| Guwatudde et al. 2015 [30] | ≥ 18 | 36.9%. | 3906 | – Male gender – age: 18 – 19 years | Uganda |
| Nkeh-Chungag et al. 2015 [31] | 13–17 | 12.3% | 388 | Not evaluated | South Africa |
| Abdissa et al. 2015 [32] | ≥ 18 | 47.3% | 2716 | Not evaluated | Ethiopia |
| Ellenga Mbolla et al. 2014 [33] | 5–18 | 20.7% | 603 | – overweight/obesity – secondary school – migration | Congo |
| Ale et al. 2014 [34] | 26–86 | 43.56% | 101 | – higher left ventricular mass – higher left ventricular mass index 1 – higher left ventricular mass index 2 | Nigeria |
| Mehdad Silmane et al. 2013 [35] | 11–17 | 9.6% | 167 | – overweight/obesity – boy | Morocco |
| Tayel et al. 2013 [36] | 12–18 | 34% | – overweight/obesity – daily intake of energy, macronutrients, sodium, and potassium – consumption of soft drinks | Egypt | |
| Nuwaha et Musinguzi 2013 [37] | ≥18 | 33.9% | 4142 | – overweight/obesuty – 40 years and above, – smoking, – consumption of alcohol, not being married, – being male | Uganda |
| Ujunwa et al. 2013 [38] | 10–18 | 17.3% | 2694 | – female – BMI – non-obese | Nigeria |
| Allal-Elasmi et al. 2012 [39] | 35–69 | Males: 56.8% Females: 43.1% | 2712 | – age – male gender – obesity – abdominal obesity – smoking | Tunisia |