Prevalence and Possible Risk Factors Associated With Overweight and Obesity Among Adults in Mayo Area in Khartoum State-Sudan

Abdalla, Eltagi A. M.

doi:10.20959/wjpps20175-9107

Cited by 1 publication

(5 citation statements)

References 11 publications

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“…This study revealed that the respondents who spent their time watching TV or films, playing games, using the computer or internet, sitting at a desk, sitting with friends, traveling in a car, or reading greater or equal to 181 minutes a day were more likely to be overweight or obese. This finding is in line with a study among adults in the Mayo area in Khartoum State-Sudan and a study among women in Addis Ababa [20,28]. This might be explained that sedentary behavior increases physical inactivity.…”

Section: Plos Onesupporting

confidence: 92%

“…This finding is supported by EDHS reports of 2016 [18]. Similarly, the studies in Sudan, Dar as Salaam-Tanzania, United States, and Benin reported a higher proportion of overweight or obesity among females than men [20,22,29,44]. The variation might be explained by different distribution in risk factors (e.g., biological variation-women gain weight during menopause, physical activity, and work intensity) between women and men across the community [46,47].…”

Section: Discussionsupporting

confidence: 77%

“…The odds of overweight or obesity among physically inactive people were higher compared to physically active people. This finding is supported by the study among adults in the Mayo area in Khartoum State-Sudan, Afghanistan, Ghana, and Turkey [20,23,48,55]. This might be explained by the fact that physical activities increase people's total energy expenditure, and it can keep energy balance or weight loss [2,41].…”

Section: Plos Onementioning

confidence: 70%

“…The data were collected using an interviewer-guided structured questionnaire. Most of the questionnaire was adapted from the WHO global physical activity questionnaire and nutritional status and lifestyle questionnaire from RenaiSante Institute of Integrated Medicine [39,43] and the rest was partially adapted from the literature such as Kinondoni municipal district, Dar es Salaam Tanzania [22] and Mayo area in Khartoum State-Sudan [20]. Frequency of meat, cheese, vegetables, fruits, alcohol, bread, and cereals, physical activity intensity, walking or using a bicycle, doing sports, fitness, or recreational activities continuously, and time usually spend sitting or reclining on a typical day were taken from the reference mentioned.…”

Section: Data Collection Tools and Proceduresmentioning

confidence: 99%

“…The survey also indicated that overweight/obesity in Addis Ababa has increased from 19.9% in 2011 to 29.4% in 2016 among women and from 12.4% to 19.6% among men in the same year [18,19]. Most of the studies showed the proportion of overweight and obesity higher in women than men [20][21][22][23], and urban settings have a higher percentage of overweight and obesity than rural settings [24][25][26][27]. The result of different studies depicts that overweight and obesity had a direct relationship with age (the proportion of BMI increases with increased age) [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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Magnitude and risks of overweight/obesity among adults in Welkite town, Southern Ethiopia: A community based cross-sectional study

Fikre

Shehmolo²,

Boti

et al. 2022

PLoS ONE

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Background Currently, adult overweight/obesity affects a high proportion of the population in low and middle-income countries, mostly in urban areas. Although some studies have been conducted on overweight/obesity in Ethiopia, most of them have focused on school children and adolescents, and there is limited evidence of overweight/obesity among adults at the community level. Therefore, the present study aimed to assess the magnitude of overweight/obesity and risk factors among adults in Welkite town, Southern Ethiopia. Methods A Community-based cross-sectional study was done among 524 adults aged 18 and more years in Welkite town, Southern Ethiopia, from February through March 2020. A multistage sampling technique was undertaken to recruit study participants. An interviewer-guided structured questionnaire was used for data collection. Overweight or obesity was identified using body mass index. The bivariate and multivariate analyses were employed to see an association using binary logistic regression. Results The magnitude of overweight and obesity was 22.2% (95% CI: 0.19, 0.26). Being female (AOR = 2.40, 95% CI: 1.34, 4.27), age group 30–47 years (AOR = 3.26, 95% CI: 1.52, 6.97) and 48–66 years (AOR = 2.56, 95% CI: 1.07, 6.08), average monthly income (AOR = 2.64, 95% CI: 1.51, 4.60), had own transport (AOR = 2.48, 95% CI: 1.03, 5.93), eating meat ≥ four times per week (AOR = 3.33, 95% CI: 1.03, 10.74), not involve vigorous-intensity activity (AOR = 2.96, 95% CI: 1.55, 5.64), spent sitting or reclining ≥181 minutes per day (AOR = 1.88, 95% CI: 1.08, 3.26), and consuming alcohol (AOR = 2.23, 95% CI: 1.29, 3.82) were risks for overweight and obesity. Conclusions The magnitude of overweight and obesity among adults was high. Factors such as being female, increasing age, physical inactivity, having own transportation, high average monthly income, eating meat, sitting or reclining more and equal to 181+ minutes per day, and consumption of alcohol increased the risk of overweight and obesity significantly. Hence, preventive interventions focusing on females, age groups of 30-66yrs, encouraging Physical activity, reducing meat frequency, and reducing alcohol consumption are essential to prevent the emergence of adulthood overweight/obesity.

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Section: Plos Onesupporting

confidence: 92%