Physical activity or fitness and the metabolic syndrome

Centers for Disease Control and Prevention, 4770 Buford Highway, MS K66, Atlanta, GA 30341, USA.
Expert Review of Cardiovascular Therapy 12/2006; 4(6):897-915. DOI: 10.1586/14779072.4.6.897
Source: PubMed

ABSTRACT The metabolic syndrome is highly prevalent in populations around the world, regardless of the definition used. Physical inactivity and obesity are two of the major modifiable risk factors for the metabolic syndrome. Cross-sectional and prospective studies have generally found that levels of physical activity and fitness are inversely related to the prevalence of this syndrome. More recent research has also suggested that sedentary behaviors, such as excessive time spent watching television or using a computer, are significantly associated with an increased risk for this syndrome. Separate but complementary approaches that encourage increased participation in physical activity and discourage sedentary behaviors, both at the individual and population level, may prove useful in reducing the prevalence of this syndrome.

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    • "MS is highly prevalent in populations around the world. Physical inactivity is one of the major modifiable risk factors for MS [24]. In this meta-analysis, we assessed the association between LPA and the risk of MS. "
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    ABSTRACT: The purpose of this study was to assess the association between leisure-time physical activity (LPA) and the risk of metabolic syndrome (MS). Prospective cohort studies of the association between LPA and the risk of MS were retrieved from the PubMed and Embase databases up to 12 August 2013. The statistical analysis in this study was performed using Stata 11.0 software. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the effect of LPA on the risk of MS. A total of five articles were included in this meta-analysis. The overall effect sizes indicated that people with moderate level LPA (OR = 0.89, 95% CI: 0.82 to 0.96, P = 0.003) or high level LPA (OR = 0.58, 95% CI: 0.38 to 0.89, P = 0.012) had lower risk of MS than people with low level LPA. The subgroup analysis by gender showed that high level LPA could reduce the risk of MS in populations of different genders (female, OR = 0.20, 95% CI: 0.08 to 0.49, P <0.001; male, OR = 0.59, 95% CI: 0.43 to 0.82, P = 0.002). However, compared with low level LPA, Americans with high level LPA did not significantly reduce the risk of MS (OR = 0.59, 95% CI: 0.43 to 0.82, P = 0.002), while a significant decrease of the risk of MS was found in Europeans with high level LPA (OR = 0.49, 95% CI 0.32 to 0.77, P = 0.002) in the subgroup analysis by region. The meta-analysis confirmed that a moderate and high level of LPA could reduce the risk of MS.
    04/2014; 19(1):22. DOI:10.1186/2047-783X-19-22
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    • "In contrast, the prevalence of diabetes in Mexican Pima Indians was only one-fifth of that of U.S. Pima Indians. Epidemiological studies showed that western lifestyle [19], sedentary lifestyle [20] and physical inactivity [21] increase the risk of CVD. A notable difference between both Mexican populations and the U.S. Pima population is the lower frequency and extent of obesity [22]. "
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    ABSTRACT: OBJECTIVE: To determine the prevalence and distribution of dyslipidemia among urban children from Buenos Aires (BA) versus Koya Indian from San Antonio de los Cobres (SAC). DESIGN AND METHODS: Anthropometric measures, blood pressure, Tanner stages, glucose, lipids and insulin were measured. Dyslipidemia was defined by the NCEP (the National Cholesterol Education Program standards) and AHA (American Heart Association) criteria. RESULTS: The mean ages were 10.6±3.0 of SAC and 9.5±2.0years of BA children. Of the 603 BA children, 97 (16.1%) were overweight (OW) and 82 (13.6%) obese (OB), and of 330 SAC, 15 (4.5%) were OW and 12 (3.6%) OB (p<0.01). Twenty six percent SAC vs 2.5% BA children ate ≥5 servings/day of fruits and vegetables (p<0.001), 30% SAC vs 59% BA children watched TV≥2h/day(p<0.001), and 8.2% SAC vs 13.1% BA children skipped breakfast (p<0.001). In separate linear regression models, we found that SAC children had a 1.8mmol/L (p<0.001) higher hemoglobin level, a 0.56mmol/L higher triglyceride level (p<0.001), a 0.15mmol/L higher total cholesterol level (p=0.001), a 0.19mmol/L higher LDL-C level (p<0.001), and a 0.33mmol/L lower HDL-C level (p<0.001) than BA children adjusted for confounding factors. CONCLUSION: Koya children have a higher risk for dyslipidemia in comparison with BA children, even after controlling for lifestyle behaviors, obesity, age, and sex , suggesting that dyslipidemia could be related to their genetic backgrounds.
    Clinical biochemistry 05/2012; 45(15):1161-1166. DOI:10.1016/j.clinbiochem.2012.04.020 · 2.28 Impact Factor
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    • "Metabolic syndrome (MS) is a condition that is highly prevalent (7–40%) in the population worldwide, regardless of the definition used (Ford & Li, 2006). According to a modified National Cholesterol Education Programme (NCEP) definition of MS, recent data show a rising prevalence of MS, from 21% (1995) (Nilsson et al., 2007) to 25% (2004) (Hollman & Kristenson, 2008), in the middle-aged Swedish population, indicating that this is also a problem in Sweden. "
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    ABSTRACT: The underlying causes of metabolic syndrome (MS) are uncertain. Knowledge from those who have experience of this syndrome should provide new insight. The aim was to explore the meaning and consequences of MS. Thirteen Swedish adults with MS, aged between 33 and 82 years, were interviewed. The interviews were analyzed using constant comparative analysis, which is the basis of grounded theory. The core category for the meaning and consequences of having the risk factors of MS consisted of the recurrence of behavior. The participants attempted to balance their insight into the causes and consequences by referring to their normal life, lifestyle, and fatalistic approach to life. Attention needs to be paid to the attitudes of the individuals with MS, as well as the known risk factors and their consequences, in order to facilitate a long-term lifestyle change in these individuals.
    Nursing and Health Sciences 01/2009; 10(4):300-5. DOI:10.1111/j.1442-2018.2008.00418.x · 1.04 Impact Factor
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