The Correlation between the Overweight and Obesity as Predisposing Risk Indicators to Cardiometabolic Disorders among Adults in Kisumu County Nyanza Region of Kenya
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Date
2023-08-27
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Salient Visionary Publications [(Annal of Clin Med & Med Res (AOCMMR) ]
Abstract
Lifestyle is broadly defined as the way or manner by which a person or a group of people lives. However, lifestyle can be influenced by a complex set of factors that are intertwined and can affect the quality of living and health. The socioeconomic position (SEP) stands out among these factors because it has a direct impact on the quality of nutrition and the living environment, including access to adequate physical activity facilities and education. Consequently, a comprehensive view must be adopted whenever addressing this topic but a majority of studies tend to focus on this area in a fragmented manner.
Aim: To find out correlation between the overweight and obesity as predisposing risk indicators to cardiometabolic disorders among adults in Kisumu County Nyanza region of Kenya.
Methodology: This was a cross-sectional quantitative study among the Western Kenya population, where the participants were randomly selected from type II diabetic adult patients 18 years and above attending diabetes clinic in selected district hospitals in Western Kenya. A Pretested Questionnaire was used to collect the data. Blood pressure, anthropometric measurements, height, weight, and waist circumference were taken.
Results: The sample size was 202. Most of the participants (48%) were aged 36-50 years, 129(64%) were females, most (55.4%) of the participants were Obese and 26.7% had a healthy weight. The females who had a waist-to-hip Ratio of over 0.8 were classified as centrally obese (55%) while 49% of the males had a waist-tohip Ratio of 0.9, which was also classified as central obese. Most of the participants were hypertensive (60%) while 9% had hypertensive emergencies.
Conclusions: The participants had mostly two indicators of cardiometabolic disorders present and obesity among the study population in this study, our results point to the need for measures to prevent and treat obesity in this and other high-risk groups.
Keywords: Overweight, Obesity, Cardiometabolic Risk Markers, Correlation
Description
King Ceasor University, College of Medicine & Life Sciences.
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Citation
http:// creativecommons.org/licenses/by/4.0/.