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Dotun-Olujinmi O, Johnson J, Greenhill R, Wuenstel W. Contextual factors in premature CHD mortality in selected African countries within the SDG framework. Eur J Public Health 2021. [DOI: 10.1093/eurpub/ckab164.110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
The sustainable development goal number 3, target 4 (SDG 3.4) seeks by 2030, a 30% reduction in four premature chronic disease mortality (4CHD) from 2015 values. Since the implementation of SDG 3.4 in 2016, the highest risk of dying from CHD was observed in low and lower-income countries mainly in Africa. This study examined the relationship between contextual factors and diabetes-related deaths as an example of the 4CHD; to enable an improved contextualized evidence-based approach, to attain in part the SDG 3.4 among United Nations Member States in Africa region (UNMSAFR).
Methods
Country-level data was retrieved for post SDG initiative years (2016-2019) from multiple publicly available data sources for 32 selected UNMSAFR located in the International Diabetes Federation (IDF) East and West Africa Region. Multiple linear regression was employed to ascertain the association between diabetes-related deaths in individuals 20-79 years in UNMSAFR and contextual factors identified in the SDGs framework. Two regression models were tested by conducting unweighted and weighted data analysis.
Results
The unweighted analysis showed that diabetes-related deaths in individuals 20-79 years/1,000 varied across the selected UNMSAFR in IDF East and West Regions (n = 31), with a range of 0.06 - 0.48/1,000 and an average of 0.24/1,000. Contextual factors, i.e., unemployment rate and geographical region explained 23% variability in diabetes-related deaths across the selected UNMSAFR. However, in the weighted data analysis, voice and accountability explained 47% variability in diabetes-related deaths across selected UNMSAFR in IDF East and West Region (n = 32).
Conclusions
Contextual factors such as unemployment rate, geographical region, and voice and accountability (governance) were associated with diabetes mortality; identifying that salient modifiable features can inform targeted interventions and policies to reduce premature CHD mortality.
Key messages
Contextual factors should be considered in policies and interventions for a comprehensive approach to premature CHD mortality reduction. Spatial clustering of CHD is critical for region interventions.
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Affiliation(s)
- O Dotun-Olujinmi
- The Herbert H. and Grace A. Dow College of Health Profession, Central Michigan University, Mount Pleasant, Michigan, USA
- American College of Healthcare Executives, Chicago, Illinois, USA
| | - J Johnson
- The Herbert H. and Grace A. Dow College of Health Profession, Central Michigan University, Mount Pleasant, Michigan, USA
- American College of Healthcare Executives, Chicago, Illinois, USA
- American Public Health Association, American Public Health Association Washington, DC, USA
| | - R Greenhill
- Healthcare management, Texas Tech University, Lubbock, Texas, USA
- The International Society for Quality in Health Care, Dublin, Ireland
| | - W Wuenstel
- The Herbert H. and Grace A. Dow College of Health Profession, Central Michigan University, Mount Pleasant, Michigan, USA
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Adjanor O, Johnson J, Wuenstel W, Jamu S, Gabitiri L, Smith A, Greenhill R. A review of social determinants of health for dashboard development for SDG 3.4 for sub-Sahara Africa. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa166.265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
All sustainable developmental goals (SDGs) require implementing sustainable strategies and monitoring to track progress. But what is known of sub-Sahara Africa (SSA)'s efforts in following this stride to reduce by 30% mortality from non-communicable diseases (NCDs) through prevention (SDG 3.4), by considering the effect of social determinants of health (SODHs) on type 2 diabetes increasing prevalence?
Methods
Our search produced 2005 unique articles. Only 10 studies were used in the analysis of this study. These studies include 1 from Botswana, 2 from Ghana, 2 from Kenya, 3 from Nigeria and 2 from South Africa. The findings were evaluated in a greater extent.
Results
All studies (100%) showed non-adherence to exercise and poor glycemic control. 7 studies (70%) on education revealed lack of knowledge or misconceptions, 5 studies (50%) with obesity showed a strong linkage between obesity and type 2 diabetes, and 4 studies (40%) on diet, showed diets high in carbohydrates, saturated fats, and sodium predisposition to type 2 diabetes. All studies (100%) linked urbanization with an increased prevalence of type 2 diabetes.
Conclusions
Changes in SODHs seem to be contributing to the growing prevalence of diabetes in SSA. These changes with other key data should be considered and tailored to policy processes, environment, infrastructures, and norms for prevention strategies and informing dashboard development for SDG 3.4.
Key messages
Social determinants of health must reflect in relevant causal pathways, settings, and sectors for preventive intervention such as in taxation; regulation of food advertising, school, and healthcare. Analysis of the effect of the changing social determinants of health on type 2 diabetes, will assist in establishing indicators for the dashboard development for SDG 3.4 for sub-Sahara Africa.
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Affiliation(s)
- O Adjanor
- Health Professions, Central Michigan University, Mount Pleasant, Michigan, USA
| | - J Johnson
- Health Professions, Central Michigan University, Mount Pleasant, Michigan, USA
- American College of Healthcare Executives, Chicago, Illnois, USA
- America Public Health Association, Washington, DC, USA
| | - W Wuenstel
- Health Professions, Central Michigan University, Mount Pleasant, Michigan, USA
- American College of Healthcare Executives, Chicago, Illnois, USA
| | - S Jamu
- Health Professions, Central Michigan University, Mount Pleasant, Michigan, USA
- Research, Stepping Stone Insight, Salt Lake, Utah, USA
| | - L Gabitiri
- Epidemiology, University of Botswana, Gaborone, Botswana
| | - A Smith
- Health Professions, Central Michigan University, Mount Pleasant, Michigan, USA
| | - R Greenhill
- Health Professions, Central Michigan University, Mount Pleasant, Michigan, USA
- Healthcare Management, Texas Tech University, Lubbock, Texas, USA
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