The role of physical activity and fitness in the prevention and treatment of metabolic syndrome

Katzmarzyk, Peter T.; Herman, Katya M.

doi:10.1007/s12170-007-0037-1

Cited by 10 publications

(5 citation statements)

References 52 publications

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“… 22 , 23 Individuals who engage in physical activity were 53% less likely to develop MetS as compared with those who did not engage in physical activity. 24 A study in Cameroon also reported that regular physical activity was significantly associated with lower development of MetS. 25 A study conducted among working adults in Addis Ababa, Ethiopia reported that men who engaged in higher physical activity decreased the occurrence of MetS by 44% as compared to those engaged in a low level of physical activity.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of Metabolic Syndrome and Factors Associated With It Among Adults of West Gojjam: A Community-Based Cross-Sectional Study

Walle¹,

Reba²,

Debela³

et al. 2021

DMSO

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Background Metabolic syndrome is a cluster of risk factors for cardiovascular diseases, indicating great clinical attention. However, much less attention has been given to metabolic syndrome in the study area. Objective The objective of this study is to determine the prevalence of metabolic syndrome and its associated factors in the adult population of West Gojjam zone, Ethiopia. Methods A community-based cross-sectional study was conducted in West Gojjam from September 15 to October 20, 2018. A total of 627 participants were randomly selected. The data were collected using the WHO STEP-wise approach for non-communicable diseases by contextualizing the instrument based on the study questions. The collected data were entered into and analyzed in SPSS version 20. Binary logistic regression was used to identify predictors of the dependent variable. The odds ratio was used to measure the strength of association between variables. For all statistical significance tests, the cut-off value set was p < 0.05 with CI of 95%. Results In the studied region, high prevalence of metabolic syndrome at 17.3% is documented. In the final model, age (adjusted odds ratio [AOR] = 1.02, CI: 1.01–1. 05), occupation (AOR = 2.97, CI: 1.25–7.04), a moderate or high level of physical activity (AOR = 0.28, CI: 0.14–0.56 and AOR = 0.42, CI: 0.18–0.97) and type of oil used for cooking (AOR = 2.62, CI: 1.87–7.86) are significantly associated with metabolic syndrome. Conclusion The prevalence of metabolic syndrome in this study is high, and it is determined by age, occupation, physical activity and type of oil used for cooking. Designing an intervention which focuses on promoting a healthy lifestyle like physical activity and using oils which are liquid at room temperature to prevent the risk of major non-communicable diseases is needed.

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Section: Discussionmentioning

confidence: 99%

Prevalence of Metabolic Syndrome and Factors Associated With It Among Adults of West Gojjam: A Community-Based Cross-Sectional Study

Walle¹,

Reba²,

Debela³

et al. 2021

DMSO

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“…Some studies prove that regular physical activity is the cornerstones of prevention of metabolic syndrome and risk factors of cardiovascular disorder and diabetics Miletus. The individual with physical activities are 53% less risk for metabolic syndrome than those who didn’t do physical activities [21].…”

Section: Discussionmentioning

confidence: 99%

Metabolic syndrome among residents of Mizan-Aman town, South West Ethiopia, 2017: A cross sectional study

Menberu

Geneto²

2019

PLoS ONE

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IntroductionGlobally, it is estimated that around 20–25% adult population has metabolic syndrome. Individuals who have metabolic syndrome are up to five times more susceptible for chronic diseases than those who have no metabolic syndrome. In Ethiopia there is no sufficient information regarding the magnitude and factors of metabolic syndrome. The aim of this study is to assess prevalence and associated factors of metabolic syndrome among residents of Mizan-Aman town, South West, Ethiopia.MethodsThe community based cross-sectional study was held at Mizan-Aman town residents. Systematic random sampling was employed to select each household and lottery method was used to select one individual from the household. Data were cleaned, coded and entered by EPI-INFO version 3.5.4 and were transported to SPSS version 20 for further analysis. To indicate the strength of association, odds ratios (OR) and 95% confidence intervals (95% CI) were used.ResultsIn this study from a total of 558 respondents 534 were completed the interview correctly, which gives a response rate of 95.7%. The overall prevalence of metabolic syndrome was 9.6%. Multivariate logistic regression revealed that physical inactivity [AOR = 2.61, 95% CI (1.22, 5.58)], age from 18 to 28 years [AOR = 0.36, 95% CI (0.14, 0.90)], being male [AOR = 0.46, 95% CI (0.22, 0.96)] and educational status with cannot write and read [AOR = 0.15, 95% CI (0.04,0.53)], from grade 1 to 8 [AOR = 0. 17, (0.11,0.55)], from grade 9 to12 [AOR = 0.11, (0.03, 0.38)] and from diploma to degree [AOR = 0. 13, (0.01, 0.36)] were significantly associated with metabolic syndrome.ConclusionThe prevalence of metabolic syndrome in this study was found to be high. Age, physical activity, educational status and sex were significantly associated with metabolic syndrome. Physical activity was found to be the means of metabolic syndrome prevention.

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“…According to the National Health and Nutrition Examination Survey (NHANES) 1999–2004, approximately 36% of the United States (U.S.) adult population have metabolic syndrome as classified by the AHA/NHLBI criterion 16. Recent studies have reported that physical activity level 17–20 and physical fitness 21, 22 are associated with lower prevalence and incidence of metabolic syndrome and individual CVD risk factors (e.g., high blood pressure, insulin resistance, abdominal adiposity, and dislipoproteinemia). Sedentary time and lack of exercise have also been related to metabolic syndrome and individual CVD risk factors in populations across the globe 11–14.…”

Section: Introductionmentioning

confidence: 99%

Leisure Time Sedentary Behavior, Occupational/Domestic Physical Activity, and Metabolic Syndrome in U.S. Men and Women

Sisson

Camhi

Church

et al. 2009

Metabolic Syndrome and Related Disorders

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120

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Background This study examines leisure time sedentary behavior (LTSB) and usual occupational/domestic activity (UODA) and the relationship with metabolic syndrome and individual cardiovascular disease (CVD) risk factors, independent of physical activity level. Methods NHANES 2003–2006 data from men (n=1868) and women (n=1688) with fasting measures were classified as having metabolic syndrome by the AHA/NHLBI definition. LTSB was determined from self-reported TV viewing and computer usage. UODA was self-reported daily behavior (sitting, standing, walking, carrying loads). Results LTSB ≥4 hr/day was associated with odds of having metabolic syndrome of 1.94 (95% CI:1.24, 3.03) in men compared to ≤1 hr/day. LTSB ≥4 hr/day was also associated with higher odds of elevated waist circumference (1.88, CI:1.03, 3.41), low HDL-cholesterol (1.84, CI:1.33, 2.51), and high blood pressure (1.55, CI:1.07, 2.24) in men. LTSB 2–3 hr/day was associated with higher odds of elevated glucose (1.32, CI:1.00, 1.75) in men. In women, odds of metabolic syndrome were 1.54 (CI:1.00, 2.37) with ≥4 hr/day LTSB, but LTSB was not associated with risk of the individual CVD risk factors. Higher LTSB was associated with metabolic syndrome in inactive men (1.50, CI:1.07, 2.09), active men (1.74, CI:1.11, 2.71), inactive women (1.69, CI:1.24, 2.33), but not active women (1.62, CI:0.87,3.01). UODA was not associated with metabolic syndrome or CVD risk factors in either men or women. Conclusions In men, high LTSB is associated with higher odds of metabolic syndrome and individual CVD risk factors regardless of meeting physical activity recommendations. In women, high LTSB is associated with higher odds of metabolic syndrome only in those not meeting the physical activity recommendations.

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The role of physical activity and fitness in the prevention and treatment of metabolic syndrome

Cited by 10 publications

References 52 publications

Prevalence of Metabolic Syndrome and Factors Associated With It Among Adults of West Gojjam: A Community-Based Cross-Sectional Study

Prevalence of Metabolic Syndrome and Factors Associated With It Among Adults of West Gojjam: A Community-Based Cross-Sectional Study

Metabolic syndrome among residents of Mizan-Aman town, South West Ethiopia, 2017: A cross sectional study

Leisure Time Sedentary Behavior, Occupational/Domestic Physical Activity, and Metabolic Syndrome in U.S. Men and Women

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