Determinants of metabolic syndrome among patients attending diabetes clinics in two sub-urban hospitals: Bono Region, Ghana.

Timothy Agandah Abagre, Delia Akosua Bandoh, Adolphina Addoley Addo-Lartey
Author Information
  1. Timothy Agandah Abagre: Department of Epidemiology and Disease Control, School of Public Health, College of Health Sciences, University of Ghana, P. O. Box LG 13, Legon, Accra, Ghana.
  2. Delia Akosua Bandoh: Ghana Field Epidemiology and Laboratory Training Programme, School of Public Health, College of Health Sciences, University of Ghana, P. O. Box LG 13, Legon, Accra, Ghana.
  3. Adolphina Addoley Addo-Lartey: Department of Epidemiology and Disease Control, School of Public Health, College of Health Sciences, University of Ghana, P. O. Box LG 13, Legon, Accra, Ghana. aaddo-lartey@ug.edu.gh.

Abstract

BACKGROUND: Over 70% of individuals with type 2 diabetes mellitus (T2DM) may have metabolic syndrome in sub-Saharan Africa. Evidence about the prevalence, clustering, and determinants of metabolic syndrome components is needed to guide the implementation of interventions to prevent cardiovascular diseases in low-income countries.
METHODS: A clinic-based cross-sectional study was conducted among 430 out-patients attending two-selected diabetes mellitus clinics in the Bono Region of Ghana. Data was collected in June 2016 among participants aged 30-79 years. The prevalence of metabolic syndrome was assessed using the harmonized definition. Patients were interviewed using semi-structured questionnaires and T2DM status was confirmed by reviewing medical records. The components of MS that were assessed included body mass index, waist circumference, systolic blood pressure, diastolic blood pressure, triglycerides, high-density lipoprotein (HDL)-cholesterol, and blood glucose. Multiple logistic regression models were constructed to evaluate the risk factors of MS.
RESULTS: The mean age of participants was 58.8��������11.49 years. The prevalence of MS was 68.6% (95% CI: 64.0-72.8), higher among women (76.3%, 95% CI: 70.6-81.2) than men (58.0%, 95% CI: 35.0-49.4) and in the 50-59-year age group (32.1%). The majority of participants [248 (57.7%)] had either two [124 (28.8%)] or four [124 (28.8%)] components of MS. Excluding fasting blood glucose (78.4%), the predominant components of MS identified in the study were reduced HDL cholesterol (70.2%), high waist circumference (60.9%), and elevated systolic blood pressure (49.8%). The study found that the odds of MS in women are 2.2-fold higher than in men (95% CI: 1.29-3.58, p���=���0.003). Duration of T2DM (OR 5.2, 95% CI: 2.90-9.31, p���<���0.001) and overweight status (OR 6.1, 95% CI: 3.70-10.07 p���<���0.001) were also found to be significant determinants of MS.
CONCLUSIONS: Metabolic syndrome was common among patients attending routine diabetes mellitus clinics in sub-urban hospitals in the middle belt of Ghana. Significant factors associated with metabolic syndrome included being female, living with diabetes for more than five years, and being overweight. Nationwide advocacy for routine screening and prevention of the syndrome should be initiated to prevent cardiovascular disease and mortality in this vulnerable population.

Keywords

References

  1. Eur J Pharmacol. 2015 Sep 15;763(Pt A):64-74 [PMID: 26001373]
  2. Diabetes Metab Syndr. 2016 Jan-Mar;10(1):7-12 [PMID: 26344942]
  3. Curr Atheroscler Rep. 2012 Apr;14(2):160-6 [PMID: 22281657]
  4. Diabetes Res Clin Pract. 2008 Feb;79(2):310-7 [PMID: 17933413]
  5. Diabetes Metab Syndr. 2015 Oct-Dec;9(4):337-42 [PMID: 25470631]
  6. Mt Sinai J Med. 2010 Sep-Oct;77(5):511-23 [PMID: 20960553]
  7. Diabetes Care. 2005 Dec;28(12):2823-31 [PMID: 16306540]
  8. Arch Intern Med. 2005 Apr 11;165(7):777-83 [PMID: 15824297]
  9. J Am Geriatr Soc. 2006 Dec;54(12):1909-14 [PMID: 17198498]
  10. Diabetol Metab Syndr. 2010 Jan 12;2:1 [PMID: 20180954]
  11. Diabetes Care. 2010 Nov;33(11):2457-61 [PMID: 20699434]
  12. Diabetes Res Clin Pract. 2014 Aug;105(2):239-44 [PMID: 24933651]
  13. Diabet Med. 1998 Jul;15(7):539-53 [PMID: 9686693]
  14. Diabetol Metab Syndr. 2010 Mar 23;2:19 [PMID: 20331871]
  15. Diabetes Care. 2007 Nov;30(11):2957-9 [PMID: 17712023]
  16. Diabetes Care. 2008 Dec;31(12):2357-61 [PMID: 18835954]
  17. Curr Opin Endocrinol Diabetes Obes. 2011 Apr;18(2):139-43 [PMID: 21297467]
  18. J Am Coll Cardiol. 2010 Sep 28;56(14):1113-32 [PMID: 20863953]
  19. Angiology. 2014 Jan;65(1):5-8 [PMID: 24277971]
  20. Obesity (Silver Spring). 2008 Dec;16(12):2707-16 [PMID: 18820650]
  21. Lancet. 2005 Sep 24-30;366(9491):1059-62 [PMID: 16182882]
  22. Nutr Clin Pract. 2009 Oct-Nov;24(5):560-77 [PMID: 19841245]
  23. J Am Coll Cardiol. 2007 Jan 30;49(4):403-14 [PMID: 17258085]
  24. Nature. 2006 Dec 14;444(7121):881-7 [PMID: 17167477]
  25. Public Health Nutr. 2011 Dec;14(12A):2274-84 [PMID: 22166184]
  26. Circulation. 2009 Oct 20;120(16):1640-5 [PMID: 19805654]
  27. Diabetes Metab Syndr. 2019 Jan - Feb;13(1):816-821 [PMID: 30641814]
  28. Natl Health Stat Report. 2009 May 5;(13):1-7 [PMID: 19634296]
  29. Public Health Nutr. 2006 Dec;9(8A):1089-98 [PMID: 17378946]
  30. Am J Cardiol. 2007 Jul 15;100(2):227-33 [PMID: 17631075]
  31. J Natl Med Assoc. 2005 Apr;97(4):557-63 [PMID: 15868776]
  32. J Diabetes Metab Disord. 2014 Nov 23;13(1):104 [PMID: 25469328]
  33. Diabetol Metab Syndr. 2012 May 31;4(1):22 [PMID: 22650602]
  34. Circulation. 2004 Feb 3;109(4):551-6 [PMID: 14757684]
  35. Nutr Res. 2013 Jan;33(1):1-11 [PMID: 23351404]
  36. Cardiovasc Diabetol. 2008 Sep 18;7:27 [PMID: 18801172]
  37. Metab Syndr Relat Disord. 2008 Dec;6(4):247-55 [PMID: 19067527]
  38. Clin Chem. 2014 Jan;60(1):44-52 [PMID: 24255079]
  39. J Diabetes Complications. 2016 Jan-Feb;30(1):72-8 [PMID: 26271411]
  40. Diabetes Obes Metab. 2012 Jul;14(7):616-25 [PMID: 22284386]
  41. Am J Clin Nutr. 2006 Jun;83(6):1237-47 [PMID: 16762930]
  42. ISRN Endocrinol. 2012;2012:167318 [PMID: 22474593]
  43. Ethiop J Health Sci. 2018 Sep;28(5):645-654 [PMID: 30607080]
  44. J Hypertens. 2008 Oct;26(10):1891-900 [PMID: 18806611]
  45. J Indian Med Assoc. 2008 Jun;106(6):366-8, 370-2 [PMID: 18839648]
  46. Libyan J Med. 2008 Dec 01;3(4):177-80 [PMID: 21499470]
  47. Diabetes Metab Syndr. 2015 Oct-Dec;9(4):205-9 [PMID: 26359305]
  48. Lancet. 2005 Apr 16-22;365(9468):1415-28 [PMID: 15836891]
  49. West Afr J Med. 2010 Jan-Feb;29(1):8-11 [PMID: 20496331]
  50. J Natl Med Assoc. 2004 Jun;96(6):817-21 [PMID: 15233492]
  51. Circulation. 1997 Dec 16;96(12):4319-25 [PMID: 9416899]
  52. Atherosclerosis. 2015 Nov;243(1):278-85 [PMID: 26409627]
  53. J Diabetes Metab Disord. 2014 Jul 15;13:80 [PMID: 25054102]
  54. Int J Appl Basic Med Res. 2015 May-Aug;5(2):133-8 [PMID: 26097823]
  55. World J Diabetes. 2010 Jul 15;1(3):76-88 [PMID: 21537431]

MeSH Term

Aged
Blood Glucose
Body Mass Index
Cardiovascular Diseases
Cholesterol, HDL
Cross-Sectional Studies
Diabetes Mellitus, Type 2
Female
Ghana
Hospitals, Urban
Humans
Male
Metabolic Syndrome
Middle Aged
Overweight
Prevalence
Risk Factors

Chemicals

Blood Glucose
Cholesterol, HDL

Word Cloud

Created with Highcharts 10.0.0syndromeMS2diabetes95%CI:metabolicamongbloodcomponentsGhanamellitusT2DMprevalencestudyattendingclinicsparticipantspressure58]8%determinantspreventcardiovascularBonoRegionassessedusingstatusincludedwaistcircumferencesystolicHDLglucosefactorsagehigherwomen70mentwo[12428found1ORp���<���0001overweightMetabolicpatientsroutinesub-urbanBACKGROUND:70%individualstypemaysub-SaharanAfricaEvidenceclusteringneededguideimplementationinterventionsdiseaseslow-incomecountriesMETHODS:clinic-basedcross-sectionalconducted430out-patientstwo-selectedDatacollectedJune2016aged30-79 yearsharmonizeddefinitionPatientsinterviewedsemi-structuredquestionnairesconfirmedreviewingmedicalrecordsbodymassindexdiastolictriglycerideshigh-densitylipoprotein-cholesterolMultiplelogisticregressionmodelsconstructedevaluateriskRESULTS:mean8��������1149 years686%640-728763%6-810%350-49450-59-yeargroup321%majority[248577%eitherfourExcludingfasting784%predominantidentifiedreducedcholesterol2%high609%elevated49odds2-fold29-3p���=���0003Duration590-9316370-1007alsosignificantCONCLUSIONS:commonhospitalsmiddlebeltSignificantassociatedfemalelivingfiveyearsNationwideadvocacyscreeningpreventioninitiateddiseasemortalityvulnerablepopulationDeterminantshospitals:InsulinresistanceOut-patientsType

Similar Articles

Cited By