Prevalence of Metabolic Syndrome and Its Components in Kanifing Municipality, The Gambia

Overview

Journal Med Arch

Specialty General Medicine

Date 2022 Feb 16

PMID 35169354

Authors

Kebba S Bojang

Diana Lyrawati

Hidayat Sujuti

Djoko Wahono

Affiliations

Soon will be listed here.

Abstract

Background: Metabolic syndrome (MetS) is a complex syndrome with clustering of interrelated risk factors for cardiovascular disease and diabetes. Its rising worldwide prevalence has been largely related to the increasing obesity. In The Gambia, the last and only time a MetS related study was conducted, and then reported, was 21 years. Therefore, there is need for evaluating the prevalence of MetS and its components in the country.

Objective: This study was aimed to evaluate the prevalence of MetS and its individual components in Kanifing Municipality (KM).

Methods: It was a cross-sectional study conducted at Kanifing General Hospital, Kanifing Municipality. Data obtained from each participants included anthropometric indices, blood pressure, fasting plasma glucose, triglyceride and high-density lipoprotein levels, and clinical information.

Results: One hundred and thirty-six participants were included in the analysis. The overall MetS prevalence was 54.4% with significant female predominance (female, 58%; male, 29.4%; =0.025). The most predominant component among the study population was central obesity (raised WC) (72.8%). Hypertriglyceridemia was found to be the strongest predictor of MetS among our participants (OR: 118.13; 95% CI: 33.79-412.77; < 0.001).

Conclusion: Our study discloses a very high prevalence of MetS among the participants, and a significant female predominance, with central obesity the commonest Mets component. The results suggest that hypertriglyceridemia is the strongest predictor of metabolic syndrome in our study participants.

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References

Kruger M, Nell T . The prevalence of the metabolic syndrome in a farm worker community in the Boland district, South Africa. BMC Public Health. 2017; 17(1):61. PMC: 5225561. DOI: 10.1186/s12889-016-3973-1. View

Ordovas J, Robertson R, Ni Cleirigh E . Gene-gene and gene-environment interactions defining lipid-related traits. Curr Opin Lipidol. 2011; 22(2):129-36. DOI: 10.1097/MOL.0b013e32834477a9. View

Cameron A, Boyko E, Sicree R, Zimmet P, Soderberg S, Alberti K . Central obesity as a precursor to the metabolic syndrome in the AusDiab study and Mauritius. Obesity (Silver Spring). 2008; 16(12):2707-16. DOI: 10.1038/oby.2008.412. View

Yamauchi T, Kamon J, Ito Y, Tsuchida A, Yokomizo T, Kita S . Cloning of adiponectin receptors that mediate antidiabetic metabolic effects. Nature. 2003; 423(6941):762-9. DOI: 10.1038/nature01705. View

Erasmus R, Jonah Soita D, Hassan M, Blanco-Blanco E, Vergotine Z, Kegne A . High prevalence of diabetes mellitus and metabolic syndrome in a South African coloured population: baseline data of a study in Bellville, Cape Town. S Afr Med J. 2012; 102(11 Pt 1):841-4. DOI: 10.7196/samj.5670. View

Omuse G, Maina D, Hoffman M, Mwangi J, Wambua C, Kagotho E . Metabolic syndrome and its predictors in an urban population in Kenya: A cross sectional study. BMC Endocr Disord. 2017; 17(1):37. PMC: 5496352. DOI: 10.1186/s12902-017-0188-0. View

Matsuzawa Y, Funahashi T, Kihara S, Shimomura I . Adiponectin and metabolic syndrome. Arterioscler Thromb Vasc Biol. 2003; 24(1):29-33. DOI: 10.1161/01.ATV.0000099786.99623.EF. View

Ogbera A . Prevalence and gender distribution of the metabolic syndrome. Diabetol Metab Syndr. 2010; 2:1. PMC: 2836983. DOI: 10.1186/1758-5996-2-1. View

Cham B, Scholes S, Ng Fat L, Badjie O, Groce N, Mindell J . The silent epidemic of obesity in The Gambia: evidence from a nationwide, population-based, cross-sectional health examination survey. BMJ Open. 2020; 10(6):e033882. PMC: 7265034. DOI: 10.1136/bmjopen-2019-033882. View

10.

Marott S, Nordestgaard B, Tybjaerg-Hansen A, Benn M . Components of the Metabolic Syndrome and Risk of Type 2 Diabetes. J Clin Endocrinol Metab. 2016; 101(8):3212-21. DOI: 10.1210/jc.2015-3777. View

11.

Alberti K, Zimmet P, Shaw J . Metabolic syndrome--a new world-wide definition. A Consensus Statement from the International Diabetes Federation. Diabet Med. 2006; 23(5):469-80. DOI: 10.1111/j.1464-5491.2006.01858.x. View

12.

Scott A, Ejikeme C, Clottey E, Thomas J . Obesity in sub-Saharan Africa: development of an ecological theoretical framework. Health Promot Int. 2012; 28(1):4-16. DOI: 10.1093/heapro/das038. View

13.

van der Sande M, Bailey R, Faal H, Banya W, Dolin P, Nyan O . Nationwide prevalence study of hypertension and related non-communicable diseases in The Gambia. Trop Med Int Health. 1997; 2(11):1039-48. DOI: 10.1046/j.1365-3156.1997.d01-184.x. View

14.

Petry N, Jallow B, Sawo Y, Darboe M, Barrow S, Sarr A . Micronutrient Deficiencies, Nutritional Status and the Determinants of Anemia in Children 0-59 Months of Age and Non-Pregnant Women of Reproductive Age in The Gambia. Nutrients. 2019; 11(10). PMC: 6835426. DOI: 10.3390/nu11102275. View

15.

Marbou W, Kuete V . Prevalence of Metabolic Syndrome and Its Components in Bamboutos Division's Adults, West Region of Cameroon. Biomed Res Int. 2019; 2019:9676984. PMC: 6515192. DOI: 10.1155/2019/9676984. View

16.

Sheikh A, Nasrullah A, Haq S, Akhtar A, Ghazanfar H, Nasir A . The Interplay of Genetics and Environmental Factors in the Development of Obesity. Cureus. 2017; 9(7):e1435. PMC: 5587406. DOI: 10.7759/cureus.1435. View

17.

Dubois L, Kyvik K, Girard M, Tatone-Tokuda F, Perusse D, Hjelmborg J . Genetic and environmental contributions to weight, height, and BMI from birth to 19 years of age: an international study of over 12,000 twin pairs. PLoS One. 2012; 7(2):e30153. PMC: 3275599. DOI: 10.1371/journal.pone.0030153. View

18.

Despres J, Lemieux I . Abdominal obesity and metabolic syndrome. Nature. 2006; 444(7121):881-7. DOI: 10.1038/nature05488. View

19.

Alberti K, Eckel R, Grundy S, Zimmet P, Cleeman J, Donato K . Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation;.... Circulation. 2009; 120(16):1640-5. DOI: 10.1161/CIRCULATIONAHA.109.192644. View

20.

Patel A, Barzi F, Jamrozik K, Lam T, Ueshima H, Whitlock G . Serum triglycerides as a risk factor for cardiovascular diseases in the Asia-Pacific region. Circulation. 2004; 110(17):2678-86. DOI: 10.1161/01.CIR.0000145615.33955.83. View