title: Risk factors of impaired fasting glucose and type 2 diabetes in Yaoundé, Cameroon: a cross sectional study.
abstract: BACKGROUND
  The prevalence of diabetes is increasing worldwide, particularly in low and middle income countries, where treatment and control are often unavailable and inaccessible. Information on risk factors at local and regional levels is of utmost importance for tailored prevention programmes to curb the rise in diabetes. The current study was undertaken to investigate the prevalence of Impaired Fasting Glucose (IFG)/Type 2 Diabetes (T2D) and its risk factors in the adult population in Biyem-Assi-Yaoundé, Cameroon.
  
  
  METHODS
  Information on cardiovascular risk factors using the WHO STEPwise approach was obtained for 1623 men and women aged 25 years and older of the CAMBoD Project in Biyem-Assi, Yaoundé, Cameroon. T2D was defined as fasting capillary glucose (FCG) ≥ 7.0 mmol/l and/or being on diabetes medication, IFG/T2D as FCG ≥ 6.1 mmol/l and/or being on diabetes medication. Descriptive statistics and multivariate logistic regression analyses were used to describe prevalence of IFG/T2D, prevalence of risk factors for IFG/T2D and to investigate the association of risk factors with prevalence of IFG/T2D.
  
  
  RESULTS
  Prevalence of T2D and of IFG/T2D was 3.3% and 5.7%. Prevalence of hypertension, obesity and abdominal obesity (elevated waist circumference) was 26.6%, 28.4% and 34.9%, respectively. Age and abdominal obesity were significantly associated with IFG/T2D in multivariate logistic regression.
  
  
  CONCLUSIONS
  For successful primary prevention of T2D in the general population in Cameroon tailored efforts to address obesity, particularly abdominal obesity, and associated life-style factors are warranted.
authors: Division of Epidemiology & Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. kufekle@yahoo.co.uk.|Health of Populations in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon. kufekle@yahoo.co.uk.
authors: Clement Nyuyki
authors: CN
authors: Kufe
authors: Division of Epidemiology & Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. k.klipstein-grobusch@umcutrecht.nl.|Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. k.klipstein-grobusch@umcutrecht.nl.
authors: Kerstin
authors: K
authors: Klipstein-Grobusch
authors: Université Paris 13, Sorbonne Paris Cité, Unité de Recherche en Epidémiologie Nutritionnelle (UREN)/U557 Inserm/U1125 Inra/Cnam/CRNH, Paris, France. l.fezeu@uren.smbh.univ-paris13.fr.
authors: Fezeu
authors: F
authors: Leopold
authors: Health of Populations in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon. kembeassah@yahoo.com.
authors: Felix
authors: F
authors: Assah
authors: Health of Populations in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon. nguforfotoh@yahoo.com.
authors: George
authors: G
authors: Ngufor
authors: Health of Populations in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon. georgembeh@yahoo.com.
authors: George
authors: G
authors: Mbeh
authors: Health of Populations in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon. vivimbanya@yahoo.com.|Department of Community Medicine, University of Oslo, Oslo, Norway. vivimbanya@yahoo.com.
authors: Vivian Nchanchou
authors: VN
authors: Mbanya
authors: Health of Populations in Transition (HoPiT) Research Group, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé 1, Yaoundé, Cameroon. jcmbanya@yahoo.co.uk.
authors: Jean Claude
authors: JC
authors: Mbanya
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D002163:Cameroon / Q000453:epidemiology; D002318:Cardiovascular Diseases / Q000453:epidemiology; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000453:epidemiology* / Q000517:prevention & control; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology; D056128:Obesity, Abdominal / Q000453:epidemiology; D011236:Prediabetic State / Q000453:epidemiology*; D015995:Prevalence; D012307:Risk Factors; D055105:Waist Circumference
chemical_list: D001786:Blood Glucose
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