Body composition of type 2 diabetes patients in Uganda: A case-control study
Ronald Buyinza1, Jonathan Nsamba2,3, Anthony Muyingo4
1Pharmacy Department, Mbarara Regional Referral Hospital, Mbarara, Uganda.
Introduction:
The prevalence of obesity among people diagnosed with Type 2 Diabetes Mellitus (T2DM) has been widely documented. However, the specific composition of this bodyweight remains largely unknown. The study aimed to understand the body composition of T2DM patients using the bioelectric impedance analysis technique, comparing findings to sex and agematched controls.
Materials And Methods:
A comparative case-control study was carried out among 139 known cases of Type 2 diabetes aged 18 to 78 years randomly sampled from the diabetic clinic of Mbarara Regional Referral Hospital. We matched them to 139 hospital controls who were healthy non-diabetic attendants. Body composition parameters were computed and summarized as medians and interquartile ranges. Differences in the medians of body composition parameters were further assessed using the Mann- Whitney U test. Fat-free and fat mass indices were derived to offer a precise estimation of body composition parameters adjusted for height differences among study participants.
Results:
Cases had significantly higher median systolic blood pressure, pulse rate, weight, Body Mass Index (BMI), Waist-Hip Ratio (WHR), total fat percentage, fat mass amount, Fat Mass Index, visceral fat, and metabolic age than their counterparts, whereas controls had significantly higher median total body water percentage versus cases. The highest significant differences occurred in fat percentage composition (Cases: β: 6.9 (95% C.I: 4.4, 9.4); Controls: Ref) followed by visceral fat (Cases: β: 3.5 (95% C.I: 2.5, 4.4); controls: Ref) and Fat Mass Index (Cases: 95% C.I: 2.6 (95% C.I: 1.6, 3.7). Cases had significantly higher Fat Mass Index, visceral fat and fat percentage (all p<0.05) than controls.
Conclusions:
Routine assessment of body composition of T2DM patients needs to be done to assess the amount, type and pattern of weight gain to prevent increases in adiposity.
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