Differences of Sedentary Behavior, Physical Activity, and Metabolic Syndrome Severity Among Metabolic Syndrome Clusters

2021 ◽  
pp. 155982762110568
Author(s):  
Robert Booker ◽  
Raymond Jones ◽  
Riley Galloway ◽  
Megan E. Holmes
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Sedentary Behavior ◽  
National Health ◽  
Race And Ethnicity ◽  
Risk Indicators ◽  
Cardiometabolic Health ◽  
Z Score ◽  
Cardiometabolic Diseases ◽  
Nutritional Examination Survey

Background: Sedentary behavior (SB), physical activity (PA), and metabolic syndrome (MetS) are risk indicators for cardiometabolic diseases. Novel methods for researching MetS by the 16 unique clusters (i.e., WC+FBG+BP) and as a continuous severity z-score (MetS-Z) have emerged. This study examined how SB, PA, and MetS-Z differed among MetS clusters and SB and PA differences by MetS-Z tertiles. Methods: Using 2015-2016 National Health and Nutritional Examination Survey (NHANES) data, participants with MetS (N = 792) were identified. Subsequently, sex-, race-, and ethnicity-specific MetS-Z were calculated. SB and PA differences were compared between MetS clusters and MetS-Z tertiles. Additionally, MetS-Z was compared between MetS clusters. Results: The WC+FBG+BP MetS cluster was prevalent among 23.80% of participants (95% CIs, 18.41-30.18) and the overall mean MetS-Z was 1.16 (1.08-1.24). Participants reported over 6 daily hours of SB (393.41 minutes⋅day-1 [370.07-416.75]). The TRI+FBG+BP+HDL MetS cluster had less SB than the WC+TRI+FBG+HDL, WC+TRI+HDL, and WC+FBG+BP MetS clusters. PA did not differ between MetS clusters and no differences in SB or PA between MetS-Z tertiles. Conclusions: Limited differences in SB and PA were observed. Participants with 4 or more MetS criteria had worse MetS-Z. Efforts should support replacing SB with PA to improve cardiometabolic health.

scholarly journals Effects of very low volume high intensity versus moderate intensity interval training in obese metabolic syndrome patients: a randomized controlled study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Dejan Reljic ◽  
Fabienne Frenk ◽  
Hans J. Herrmann ◽  
Markus F. Neurath ◽  
Yurdagül Zopf
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Interval Training ◽  
Moderate Intensity ◽  
Controlled Study ◽  
Cardiometabolic Health ◽  
Dependent Manner ◽  
Z Score ◽  
Low Volume ◽  
Treatment Of Obesity

AbstractPhysical activity is a cornerstone in the treatment of obesity and metabolic syndrome (MetS). Given the leading physical activity barrier of time commitment and safety concerns about vigorous exercise in high-risk groups, this study aimed to investigate the effects of two extremely time-efficient training protocols (< 30 min time effort per week), either performed as high- (HIIT) or moderate-intensity interval training (MIIT) over 12 weeks, in obese MetS patients. In total, 117 patients (49.8 ± 13.6 years, BMI: 38.2 ± 6.2 kg/m2) were randomized to HIIT (n = 40), MIIT (n = 37) or an inactive control group (n = 40). All groups received nutritional counseling to support weight loss. Maximal oxygen uptake (VO2max), MetS severity (MetS z-score), body composition and quality of life (QoL) were assessed pre-and post-intervention. All groups significantly reduced body weight (~ 3%) but only the exercise groups improved VO2max, MetS z-score and QoL. VO2max (HIIT: + 3.1 mL/kg/min, p < 0.001; MIIT: + 1.2 mL/kg/min, p < 0.05) and MetS z-score (HIIT: − 1.8 units, p < 0.001; MIIT: − 1.2 units, p < 0.01) improved in an exercise intensity-dependent manner. In conclusion, extremely low-volume interval training, even when done at moderate intensity, is sufficiently effective to improve cardiometabolic health in obese MetS patients. These findings underpin the crucial role of exercise in the treatment of obesity and MetS.

Combined Associations of Muscle-Strengthening Activities and Accelerometer-Assessed Physical Activity on Multimorbidity: Findings From NHANES

2016 ◽  
Vol 31 (4) ◽  
pp. 274-277 ◽  
Author(s):  
Scott J. Dankel ◽  
Jeremy P. Loenneke ◽  
Paul D. Loprinzi
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
Chronic Disease ◽  
Confidence Interval ◽  
National Health ◽  
Cost Effective ◽  
Muscle Strengthening ◽  
Recommended Guidelines ◽  
Nutritional Examination Survey

Purpose. Physical activity (PA) has previously been demonstrated to be inversely related with multimorbidity (having more than one chronic disease); however, it is unknown whether dual participation in both PA and muscle-strengthening activities (MSA) may further reduce the odds of being multimorbid. Therefore, the purpose of our study was to determine the association between multimorbidity and individuals meeting recommended guidelines for both PA and MSA. Design. Nonexperimental. Setting. The 2003–2006 National Health and Nutritional Examination Survey. Subjects. Four thousand five hundred eighty-seven adults aged ≥20 years. Measures. Accelerometry-measured PA, self-reported MSA, and multimorbidity. Analysis. Data were analyzed using multivariable linear and logistic regression. Results. The odds (95% confidence interval) of being multimorbid for those only meeting MSA guidelines, only meeting PA guidelines, and meeting both PA and MSA guidelines (vs. not meeting either), respectively, were .69 (.48, .98; p = .04), .55 (.44, .70; p < .01), and .38 (.27, .53; p < .01). Conclusion. Our findings demonstrate that individuals meeting recommended guidelines for both MSA and PA were less likely to be multimorbid than individuals participating in one or none of these exercise modalities. Determining effective ways to initiate and maintain concurrent adoption of MSA and PA is needed to provide a cost-effective behavioral alternative for reducing the prevalence of multimorbidity.

scholarly journals Metabolic syndrome in Thai adolescents and associated factors: the Thai National Health Examination Survey V (NHES V)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sirinapa Siwarom ◽  
Wichai Aekplakorn ◽  
Kwanchai Pirojsakul ◽  
Witchuri Paksi ◽  
Pattapong Kessomboon ◽  
...  
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
National Health ◽  
Screen Time ◽  
International Diabetes Federation ◽  
Health Examination ◽  
Time Frequency ◽  
Screen Media ◽  
Thai Adolescents ◽  
Health Examination Survey

Abstract Background Presence of metabolic syndrome (MetS) in early life may influence cardiovascular outcome later in adulthood. There is limited data regarding MetS among Thai adolescents. This study aimed to estimate the prevalence of MetS and related factors in Thai adolescents. Methods Data on MetS components of 1934 Thai adolescents aged 10–16 years were obtained from the 5th National Health Examination Survey. Age at first screen time exposure, duration of screen time, frequency of food intake and physical activities were collected from interviews. MetS was defined according to 3 definitions: International Diabetes Federation (IDF), Cook’s, and de Ferranti’s. Results The prevalence of MetS was 4.1% by IDF, 8.0% by Cook’s, and 16.8% by de Ferranti’s definition. The overall prevalence was higher in male (19.0%) than female adolescents (15.3%). The most common MetS components composition among Thai adolescents was high waist circumference with high serum triglyceride and low HDL-cholesterol (40.0% for IDF, 22.6% for Cook’s and 43.5% for de Ferranti’s definition). Exposure to screen media during the first 2 years of life had a 1.3- fold increased odds of MetS by 1 out of 3 definitions (OR 1.30, 95% CI. 1.01–1.68). Duration of physical activity associated with decreased odds of MetS by Cook’s definition (OR 0.96, 95% CI. 0.92–0.99). Conclusions The prevalence of MetS among Thai adolescents was higher than previously reported by other studies. Screen media exposure during the first 2 years of life should be discouraged and measures to promote physical activity among children and adolescents should be strengthen.

scholarly journals The Predictive Performance of Objective Measures of Physical Activity Derived From Accelerometry Data for 5-Year All-Cause Mortality in Older Adults: National Health and Nutritional Examination Survey 2003–2006

2019 ◽  
Vol 75 (9) ◽  
pp. 1779-1785 ◽  
Author(s):  
Ekaterina Smirnova ◽  
Andrew Leroux ◽  
Quy Cao ◽  
Lucia Tabacu ◽  
Vadim Zipunnikov ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Logistic Regression ◽  
National Health ◽  
Predictive Performance ◽  
Wearable Technology ◽  
Living Environment ◽  
Activity Count ◽  
All Cause Mortality ◽  
Nutritional Examination Survey

Abstract Background Declining physical activity (PA) is a hallmark of aging. Wearable technology provides reliable measures of the frequency, duration, intensity, and timing of PA. Accelerometry-derived measures of PA are compared with established predictors of 5-year all-cause mortality in older adults in terms of individual, relative, and combined predictive performance. Methods Participants aged between 50 and 85 years from the 2003–2006 National Health and Nutritional Examination Survey (NHANES, n = 2,978) wore a hip-worn accelerometer in the free-living environment for up to 7 days. A total of 33 predictors of 5-year all-cause mortality (number of events = 297), including 20 measures of objective PA, were compared using univariate and multivariate logistic regression. Results In univariate logistic regression, the total activity count was the best predictor of 5-year mortality (Area under the Curve (AUC) = 0.771) followed by age (AUC = 0.758). Overall, 9 of the top 10 predictors were objective PA measures (AUC from 0.771 to 0.692). In multivariate regression, the 10-fold cross-validated AUC was 0.798 for the model without objective PA variables (9 predictors) and 0.838 for the forward selection model with objective PA variables (13 predictors). The Net Reclassification Index was substantially improved by adding objective PA variables (p &lt; .001). Conclusions Objective accelerometry-derived PA measures outperform traditional predictors of 5-year mortality, including age. This highlights the importance of wearable technology for providing reproducible, unbiased, and prognostic biomarkers of health.

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