| Literature DB >> 34723996 |
Teshager Weldegiorgis Abate1, Balew Zeleke2, Ashenafi Genanew3, Bidiru Weldegiorgis Abate4.
Abstract
BACKGROUND: The burden and contribution of modifiable risk factors of stroke in Ethiopia are unclear. Knowledge about this burden and modifying risk factors is pivotal for establishing stroke prevention strategies. In recent decades, the issue of lifestyle and behavioral modification is a key to improve the quality of life. The modifiable risk factors are an importance as intervention strategies aimed at reducing these factors can subsequently reduce the risk of stroke. So far, many primary studies were conducted to estimate the burden of stroke and modifiable risk factors in Ethiopia. However, the lack of a nationwide study that determines the overall pooled estimation of burden and modifiable risk factors of stroke is a research gap.Entities:
Mesh:
Year: 2021 PMID: 34723996 PMCID: PMC8559958 DOI: 10.1371/journal.pone.0259244
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow chart to a selection of studies for a systematic review and meta-analysis of the proportion of adherence to healthy lifestyle modification of people with hypertension in Ethiopia 2020.
Study characteristics of included articles for the final systematic review and meta-analysis on the burden of modifiable risk factors and rate of improvement at discharge after stroke in Ethiopia 2020.
| Authors name | Study year | Region | Sample size | Study design | Burden of Stroke reported outcome percentage (95% CI) | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Ischemic stroke | Hemorrhagic stroke | Female | Male | Improvement at discharge | NOS score | |||||
| Asgedome SW.et al | 2019 | Tigray | 216 | R | 55.6 | 44.4 | 58.3 | 41.7 | 77.8 | 8 |
| Asres AK. et al | 2018 | AA | 170 | CC | 51.2 | 37.6 | 42.9 | 57.1 | 72.4 | 7 |
| Baye M. et al | 2018 | Amhara | 448 | R | 31.5 | 68.5 | 58.0 | 42.0 | 59.8 | 8 |
| Bedassa T. et al | 2018 | Oromia | 242 | R | 64.3 | 35.7 | - | - | - | 5 |
| Beyene DT. et al | 2017 | Oromia | 367 | R | 35.7 | 64.31 | 36.2 | 63.8 | 26.4 | 8 |
| Dandena A. et al | 2019 | Oromia | 283 | P | 43.1 | 44.5 | 35.0 | 65.0 | - | 6 |
| Deresse B. et al | 2014 | SNNP | 163 | P | 50.3 | 49.7 | 33.7 | 66.3 | 85.3 | 8 |
| Erkabu SG. et al | 2016 | Amhara | 303 | R | 59.4 | 40.6 | 37 | 63.0 | 89.0 | 7 |
| Fekadu G.et al | 2017 | Oromia | 116 | P | 51.7 | 48.3 | 37.1 | 62.9 | - | 6 |
| Fekadu G.et al | 2017 | Oromia | 116 | CC | 48.3 | 41.6 | 37.1 | 62.9 | 78.4 | 8 |
| Fekadu G.et al | 2017 | Oromia | 364 | CC | 42.3 | 57.7 | 42.9 | 57.7 | 94.0 | 7 |
| Gebremariam SA. et al | 2014 | Tigray | 142 | CC | 55.6 | 38.0 | 45.8 | 54.2 | 47.9 | 8 |
| Gebreyohannes EA.et al | 2017 | Amhara | 208 | R | 57.7 | Not | 57.7 | 42.3 | 87.5 | 7 |
| Gedefa B. et al | 2016 | AA | 163 | R | 35.6 | 64.4 | 43.6 | 56.4 | 69.9 | 8 |
| Gelan Y. et al | 2016 | AA | 227 | CC | 49.8 | 48.9 | 30.0 | 70.0 | 70.0 | 7 |
| Greffie. ES et al | 2013 | Amhara | 98 | R | 69.4 | 30.6 | 53.1 | 46.9 | 87.0 | 7 |
| Gufue ZH. et al | 2019 | Tigray | 503 | R | 56.6 | 43.4 | 50.1 | 49.9 | 85.1 | 7 |
| Kassaw A.et al | 2018 | AA | 170 | R | 51.2 | 48.8 | 42.9 | 57.1 | 80.0 | 8 |
| Kefale B. et al | 2019 | Oromia | 111 | R | 80.1 | 18.0 | 50.5 | 49.5 | 83.8 | 7 |
| Mekonen HH.et al | 2018 | Tigray | 89 | R | 32.6 | 36.6 | 63.2 | 51.7 | - | 5 |
| Mulat B. et al | 2015 | Amhara | 427 | R | 56.7 | 43.3 | 63.2 | 36.8 | - | 6 |
| Mulugeta H. et al | 2019 | Amhara | 162 | R | 50.0 | 30.0 | 53.7 | 46.3 | 27.2 | 7 |
| Sultan M. et al | 2014 | AA | 301 | p | 53.8 | 17.9 | 42.5 | 57.5 | 80.7 | 8 |
| Tamirat KS. et al | 2017 | Amhara | 151 | R | 60.3 | 39.7 | 50.3 | 49.7 | 90.7 | 7 |
| Temesgen TG.et al | 2017 | Oromia | 73 | R | 65.8 | 34.2 | 42.5 | 57.5 | 54.8 | 6 |
| Zenebe G. et al | 2001 | AA | 128 | CC | 43 | 57.0 | 39.8 | 61.7 | - | 6 |
| Zewdie A. et al | 2016 | AA | 104 | CC | 44.2 | 55.8 | 44.0 | 56.0 | - | 5 |
R: Retrospective, P: Prospective, CC: Cross-Sectional, AA: Addis Ababa, NOS: Newcastle-Ottawa Scale
-*: The variable was not reported in the primary study.
Fig 2Forest plot of in the proportion of hemorrhagic stroke in Ethiopia, 2020.
Fig 3Forest plot of in the proportion of ischemic stroke in Ethiopia, 2020.
The pooled effect of common modifiable risk factors among the primary studies of stroke in Ethiopia.
| Modifiable risk factors | Estimated pooled proportion (95%CI) | I-squared (%) |
|---|---|---|
| Hypertension | 49 (43.59, 54.41) | 91.6 |
| Diabetes mellitus | 14.72 (9.51, 19.94) | 95.8 |
| Atrial fibrillation | 19.21 (13.96, 24.46) | 94.4 |
| Other heart disease | 20.11 (14.27, 25.95) | 94.2 |
| Dyslipidemia | 20.99 (11.10, 30.88) | 96.4 |
| Smoking | 10.38 (6.27, 14.94) | 86.0 |
| Obesity | 11.64 (2.48, 20.79) | 95.3 |
| Alcohol | 24.96 (15.01, 34.90) | 92.7 |
Other heart Disease: Congestive heart failure, Structural heart disease, Myocardia friction.
Fig 4Forest plot of the proportion of recover during discharge after stroke in Ethiopia, 2020.
Fig 5Meta funnels presentations of the proportion of recover after stroke in Ethiopia, 2020, whereby SE PIV (standard error of proportion) plotted on the Y-axis and log PIV (logarithm of proportion).
Subgroup analysis of recovery after stroke by region, sample size, and study year in Ethiopia 2020.
| Variables | Characteristics | Estimated stroke recover during discharge (95% CI; I2 = %) |
|---|---|---|
| Region | Oromia | 67.38 (41.60–93.17; I2 = 98.1) |
| Addis Ababa | 74.51 (69.84–79.17; I2 = 34.5) | |
| Amhara | 73.44 (50.29–96. 59; I2 = 97.9) | |
| Tigray | 70.19 (47.10–93.28; I2 = 95.7) | |
| SNNPR | Single study | |
| Sample size | <223 (median) | 72.41 (60.00–83.82; I2 = 96.0) |
| > = 223 (median) | 72.05 (527.44–91.66; I2 = 97.5) | |
| Study year | Before 2017 | 75.59 (64.28–86.9; I2 = 92.1) |
| After 2017 | 70.50 (56.80–84.20; I2 = 92.1) |
SNNPR: South Nations, Nationalities and People Region.
Meta-regression output to explore the heterogeneity of the pooled proportion of clinical outcome of stroke in Ethiopia, 2020.
| Variables | Coefficients | P-value | 95% CI |
|---|---|---|---|
| Study Year | -4.83 | 0.538 | -21.03, 11.35 |
| Region | |||
| Addis Ababa | -10.68 | 0.660 | -61.37, 40.01 |
| Amhara | -11.67 | 0.626 | -61.63, 38.29 |
| Oromia | -17.72 | 0.468 | -68.44, 33.01 |
| Tigray | -14.83 | 0.563 | -68.26, 38.61 |
Fig 6One-leave-out sensitivity analysis for studies conducted on the pooled estimated proportion of stroke clinical outcome in Ethiopia, 2020.