Conference abstract

Comparing biophysical parameters and risk factors amongst known diabetic and undiagnosed diabetic patients

Pan African Medical Journal - Conference Proceedings. 2017:2(5).29 Aug 2017.
doi: 10.11604/pamj-cp.2017.2.5.44
Archived on: 29 Aug 2017
Contact the corresponding author
Keywords: Diabetes, undiagnosed diabetes, biophysical parameters
Oral presentation

Comparing biophysical parameters and risk factors amongst known diabetic and undiagnosed diabetic patients

Jean-Claude Njabou Katte1,&, Andre Michel Bimbai2, Charles Kouam Kouam3, Gerard Fetse Tama3, Eugene Sobngwi4

1Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon, 2Health of Populations in Transition (HoPiT) Research Group, Yaounde, Cameroon, 3Regional Hospital Bafoussam, Bafoussam, Cameroon, 4Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon

&Corresponding author
Jean-Claude Njabou Katte, Department of Public Health, Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon

Abstract

Introduction: diabetes mellitus stands today as a major public health challenge and the prevalence of type 2 diabetes are increasing worldwide. Sub-Saharan Africa also presents a high prevalence of undiagnosed diabetes mellitus which may remain for many years leading to long-term organ damage. Risk factors for diabetes are known and their reduction in a given population has been shown to curb the diabetes epidemic. The main objective was to measure and compare the differences in biophysical parameters in a group of self-selected patients with diabetes and newly-screened diabetic patients.

Methods: we conducted a cross-sectional community-based study in a semi-urban population in Cameroon. The participants were self-selected adults who attended a screening campaign advertised through mass media in the month of November 2012.

Results: a total of 202 participants were enrolled. Established diabetic patients were 103 while the undiagnosed diabetic patients were 99. The mean ages of the diabetic patients and the undiagnosed diabetic patients were 56 ± 13 years and 47 ± 14 years (p = p < 0.001). The mean weight between the populations were 90 ± 18 Kg and 80 ± 16 Kg (p < 0.001). The mean BMI was 29 ± 5 Kg/m2, and 29 ± 6 Kg/m2, (p = 1.000). The mean fasting capillary blood glucose between the populations were 157 ± 86 mg/dl and 196 ± 144mg/dl (0.02). Amongst the established diabetic patients, 11.7% continued cigarette smoking while 16.5% continued cigarette smoking in the undiagnosed diabetic population. Minimal physical activity was not statistically significant between both groups.

Conclusion: education programs to reduce the burden and risk factors in our setting should target both established diabetic patients, their families but also the community in general.