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Bowo-Ngandji A, Kenmoe S, Ebogo-Belobo JT, Kenfack-Momo R, Takuissu GR, Kengne-Ndé C, Mbaga DS, Tchatchouang S, Kenfack-Zanguim J, Lontuo Fogang R, Zeuko'o Menkem E, Ndzie Ondigui JL, Kame-Ngasse GI, Magoudjou-Pekam JN, Wandji Nguedjo M, Assam Assam JP, Enyegue Mandob D, Ngondi JL. Prevalence of the metabolic syndrome in African populations: A systematic review and meta-analysis. PLoS One 2023; 18:e0289155. [PMID: 37498832 PMCID: PMC10374159 DOI: 10.1371/journal.pone.0289155] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 07/12/2023] [Indexed: 07/29/2023] Open
Abstract
BACKGROUND The metabolic syndrome (MS) is a leading cause of death worldwide. Several studies have found MS to be prevalent in various African regions. However, no specific estimates of MS prevalence in African populations exist. The aim of this study was to estimate the overall prevalence of MS in the African populations. METHODS A systematic review was conducted in PubMed, Web of Science, Africa Index Medicus, and African Journal Online Scopus to find studies published up to the 15th of August 2022. Pooled prevalence was calculated based on six diagnostic methods. The pooled prevalence of MS was estimated using a random-effects model. Our risk of bias analysis was based on the Hoy et al. tool. A Heterogeneity (I2) assessment was performed, as well as an Egger test for publication bias. PROSPERO number CRD42021275176 was assigned to this study. RESULTS In total, 297 studies corresponding to 345 prevalence data from 29 African countries and involving 156 464 participants were included. The overall prevalence of MS in Africa was 32.4% (95% CI: 30.2-34.7) with significant heterogeneity (I2 = 98.9%; P<0.001). We obtained prevalence rates of 44.8% (95% CI: 24.8-65.7), 39.7% (95% CI: 31.7-48.1), 33.1% (95% CI: 28.5-37.8), 31.6% (95% CI: 27.8-35.6) and 29.3% (95% CI: 25.7-33) using the WHO, revised NCEP-ATP III, JIS, NCEP/ATP III and IDF definition criteria, respectively. The prevalence of MS was significantly higher in adults >18 years with 33.1% (95%CI: 30.8-35.5) compared to children <18 years with 13.3% (95%CI: 7.3-20.6) (P<0.001). MS prevalence was significantly higher in females with 36.9% (95%CI: 33.2-40.7) compared to males with 26.7% (95%CI: 23.1-30.5) (P<0.001). The prevalence of MS was highest among Type 2 diabetes patients with 66.9% (95%CI: 60.3-73.1), followed by patients with coronary artery disease with 55.2% (95%CI: 50.8-59.6) and cardiovascular diseases with 48.3% (95%CI: 33.5-63.3) (P<0.001). With 33.6% (95% CI: 28.3-39.1), the southern African region was the most affected, followed by upper-middle income economies with 35% (95% CI: 29.5-40.6). CONCLUSION This study, regardless of the definition used, reveals a high prevalence of MS in Africa, confirming the ongoing epidemiological transition in African countries. Early prevention and treatment strategies are urgently needed to reverse this trend.
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Affiliation(s)
- Arnol Bowo-Ngandji
- Department of Microbiology, The University of Yaounde I, Yaounde, Cameroon
| | - Sebastien Kenmoe
- Department of Microbiology and Parasitology, University of Buea, Buea, Cameroon
| | - Jean Thierry Ebogo-Belobo
- Institute of Medical Research and Medicinal Plants Studies, Medical Research Centre, Yaounde, Cameroon
| | - Raoul Kenfack-Momo
- Department of Biochemistry, The University of Yaounde I, Yaounde, Cameroon
| | - Guy Roussel Takuissu
- Centre for Food, Food Security and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon
| | - Cyprien Kengne-Ndé
- Epidemiological Surveillance, Evaluation and Research Unit, National AIDS Control Committee, Douala, Cameroon
| | | | | | | | | | | | | | - Ginette Irma Kame-Ngasse
- Institute of Medical Research and Medicinal Plants Studies, Medical Research Centre, Yaounde, Cameroon
| | | | - Maxwell Wandji Nguedjo
- Centre for Food, Food Security and Nutrition Research, Institute of Medical Research and Medicinal Plants Studies, Yaounde, Cameroon
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Alathari BE, Nyakotey DA, Bawah AM, Lovegrove JA, Annan RA, Ellahi B, Vimaleswaran KS. Interactions between Vitamin D Genetic Risk and Dietary Factors on Metabolic Disease-Related Outcomes in Ghanaian Adults. Nutrients 2022; 14:2763. [PMID: 35807945 PMCID: PMC9269445 DOI: 10.3390/nu14132763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/22/2022] [Accepted: 06/27/2022] [Indexed: 11/16/2022] Open
Abstract
The Ghanaian population is experiencing an upsurge in obesity and type 2 diabetes (T2D) due to rapid urbanization. Besides dietary factors, vitamin D-related genetic determinants have also been shown to contribute to the development of obesity and T2D. Hence, we aimed to examine the interactions between dietary factors and vitamin D-related genetic variants on obesity and T2D related outcomes in a Ghanaian population. Three hundred and two healthy Ghanaian adults (25-60 years old) from Oforikrom, Municipality in Kumasi, Ghana were randomly recruited and had genetic tests, dietary consumption analysis, and anthropometric and biochemical measurements of glucose, HbA1c, insulin, cholesterol, and triglycerides taken. A significant interaction was identified between vitamin D-GRS and fiber intake (g/day) on BMI (pinteraction = 0.020) where those who were consuming low fiber (≤16.19 g/d) and carrying more than two risk alleles for vitamin D deficiency (p = 0.01) had a significantly higher BMI. In addition, an interaction between vitamin D-GRS and fat intake (g/day) on HbA1c (total fat, pinteraction = 0.029) was found, where participants who had a lower total fat intake (≤36.5 g/d), despite carrying more than two risk alleles, had significantly lower HbA1c (p = 0.049). In summary, our study has identified novel gene-diet interactions of vitamin D-GRS with dietary fiber and fat intakes on metabolic traits in Ghanaian adults.
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Affiliation(s)
- Buthaina E. Alathari
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Harry Nursten Building, Pepper Lane, University of Reading, Reading RG6 6DZ, UK; (B.E.A.); (J.A.L.)
- Department of Food Science and Nutrition, Faculty of Health Sciences, The Public Authority for Applied Education and Training, P.O. Box 14281, AlFaiha 72853, Kuwait
| | - David A. Nyakotey
- Department of Biochemistry and Biotechnology, College of Science, Kwame Nkrumah University of Science and Technology, Accra Road, Kumasi GH233, Ghana; (D.A.N.); (A.-M.B.); (R.A.A.)
- Liggins Institute, University of Auckland, 85 Park Road, Grafton, Auckland 1023, New Zealand
| | - Abdul-Malik Bawah
- Department of Biochemistry and Biotechnology, College of Science, Kwame Nkrumah University of Science and Technology, Accra Road, Kumasi GH233, Ghana; (D.A.N.); (A.-M.B.); (R.A.A.)
| | - Julie A. Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Harry Nursten Building, Pepper Lane, University of Reading, Reading RG6 6DZ, UK; (B.E.A.); (J.A.L.)
- Institute of Cardiovascular and Metabolic Research, Harry Nursten Building, Pepper Lane, University of Reading, Reading RG6 6DZ, UK
| | - Reginald A. Annan
- Department of Biochemistry and Biotechnology, College of Science, Kwame Nkrumah University of Science and Technology, Accra Road, Kumasi GH233, Ghana; (D.A.N.); (A.-M.B.); (R.A.A.)
| | - Basma Ellahi
- Faculty of Health and Social Care, University of Chester, Riverside Campus, Chester CH1 4BJ, UK;
| | - Karani S. Vimaleswaran
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Harry Nursten Building, Pepper Lane, University of Reading, Reading RG6 6DZ, UK; (B.E.A.); (J.A.L.)
- Institute of Cardiovascular and Metabolic Research, Harry Nursten Building, Pepper Lane, University of Reading, Reading RG6 6DZ, UK
- Institute for Food, Nutrition and Health, University of Reading, Reading RG6 6AH, UK
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Tesfay FH, Backholer K, Zorbas C, Bowe SJ, Alston L, Bennett CM. The Magnitude of NCD Risk Factors in Ethiopia: Meta-Analysis and Systematic Review of Evidence. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19095316. [PMID: 35564716 PMCID: PMC9106049 DOI: 10.3390/ijerph19095316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/15/2022] [Accepted: 04/20/2022] [Indexed: 02/04/2023]
Abstract
Background: Non-communicable Diseases (NCDs) and their risk factors are the leading contributors to morbidity and mortality globally, particularly in low- and middle-income countries including Ethiopia. To date, there has been no synthesis of the literature on the relative prevalence of NCD risk factors in Ethiopia. Methodology: We conducted a systematic review and meta-analysis of primary studies reporting on the prevalence of NCD risk factors in Ethiopia published in English from 2012 to July 2020. Pre-tested NCD search terms were applied to Medline, Embase, Scopus, CINAHL, and Global Health. Three reviewers screened and appraised the quality of the identified papers. Data extraction was conducted using a pilot tested proforma. Meta-analysis was conducted using Stata 16 and pooled prevalence estimated with associated 95% confidence intervals. Clinically heterogeneous studies that did not fulfil the eligibility criteria for meta-analysis were narratively synthesised. I2 was used to assess statistical heterogeneity. Results: 47 studies fulfilled the inclusion criteria and contributed 68 NCD risk factor prevalence estimates. Hypertension was the most frequently examined NCD risk factor, with a pooled prevalence of 21% (n = 27 studies). The pooled prevalence percentages for overweight and obesity were 19.2% and 10.3%, respectively (n = 7 studies each), with a combined prevalence of 26.8% (n = 1 study). It was not possible to pool the prevalence of alcohol consumption, smoking, metabolic disorders, or fruit consumption because of heterogeneity across studies. The prevalence of alcohol use, as reported from the included individual studies, ranged from 12.4% to 13.5% (n = 7 studies). More than 90% of participants met the WHO-recommended level of physical activity (n = 5 studies). The prevalence of smoking was highly variable, ranging between 0.8% and 38.6%, as was the prevalence of heavy alcohol drinking (12.4% to 21.1%, n = 6 studies) and metabolic syndrome (4.8% to 9.6%, n = 5 studies). Fruit consumption ranged from 1.5% up to the recommended level, but varied across geographic areas (n = 3 studies). Conclusion and recommendations: The prevalence of NCD risk factors in Ethiopia is relatively high. National NCD risk factor surveillance is required to inform the prioritisation of policies and interventions to reduce the NCD burden in Ethiopia.
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Affiliation(s)
- Fisaha Haile Tesfay
- Institute for Health Transformation, Deakin University, Geelong 3220, Australia; (K.B.); (C.Z.); (L.A.); (C.M.B.)
- College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
- College of Medicine and Health Sciences, School of Public Health, Mekelle University, Mekelle P.O. Box 231, Ethiopia
- Correspondence:
| | - Kathryn Backholer
- Institute for Health Transformation, Deakin University, Geelong 3220, Australia; (K.B.); (C.Z.); (L.A.); (C.M.B.)
| | - Christina Zorbas
- Institute for Health Transformation, Deakin University, Geelong 3220, Australia; (K.B.); (C.Z.); (L.A.); (C.M.B.)
| | - Steven J. Bowe
- Deakin Biostatistics Unit, Faculty of Health, Deakin University, Geelong 3220, Australia;
| | - Laura Alston
- Institute for Health Transformation, Deakin University, Geelong 3220, Australia; (K.B.); (C.Z.); (L.A.); (C.M.B.)
| | - Catherine M. Bennett
- Institute for Health Transformation, Deakin University, Geelong 3220, Australia; (K.B.); (C.Z.); (L.A.); (C.M.B.)
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