James R Churilla1, Eugene C Fitzhugh. 1. Brooks College of Health, University of North Florida, Jacksonville, Florida 32224, USA. j.churilla@unf.edu
Abstract
BACKGROUND: This study examined the association of total physical activity volume (TPAV) and physical activity (PA) from three domains [leisure-time physical activity (LTPA), domestic, transportation] with metabolic syndrome. We also investigated the relationship between LTPA intensity and metabolic syndrome risk. METHODS: Sample included adults who participated in the 1999-2004 National Health and Nutrition Examination Survey. Physical activity measures were created for TPAV, LTPA, domestic PA, and transportational PA. For each, a six-level measure based upon no PA (level 1) and quintiles (levels 2-6) of metabolic equivalents (MET)·min·wk(-1) was created. A three-level variable associated with the current Department of Health and Human Services (DHHS) PA recommendation was also created. SAS and SUDAAN were used for the statistical analysis. RESULTS: Adults reporting the greatest volume of TPAV and LTPA were found to be 36% [odds ratio (OR) 0.64; 95% confidence interval (CI) 0.49-0.83] and 42% (OR 0.58; 95% CI 0.43-0.77), respectively, less likely to have metabolic syndrome. Domestic and transportational PA provided no specific level of protection from metabolic syndrome. Those reporting a TPAV that met the DHHS PA recommendation were found to be 33% (OR 0.67; 95%; CI 0.55-0.83) less likely to have metabolic syndrome compared to their sedentary counterparts. Adults reporting engaging in only vigorous-intensity LTPA were found to be 37% (OR 0.63; 95 CI 0.42-0.96) to 56% (OR 0.44; 95% CI 0.29-0.67) less likely to have metabolic syndrome. CONCLUSIONS: Volume, intensity, and domain of PA may all play important roles in reducing the prevalence and risk of metabolic syndrome.
BACKGROUND: This study examined the association of total physical activity volume (TPAV) and physical activity (PA) from three domains [leisure-time physical activity (LTPA), domestic, transportation] with metabolic syndrome. We also investigated the relationship between LTPA intensity and metabolic syndrome risk. METHODS: Sample included adults who participated in the 1999-2004 National Health and Nutrition Examination Survey. Physical activity measures were created for TPAV, LTPA, domestic PA, and transportational PA. For each, a six-level measure based upon no PA (level 1) and quintiles (levels 2-6) of metabolic equivalents (MET)·min·wk(-1) was created. A three-level variable associated with the current Department of Health and Human Services (DHHS) PA recommendation was also created. SAS and SUDAAN were used for the statistical analysis. RESULTS: Adults reporting the greatest volume of TPAV and LTPA were found to be 36% [odds ratio (OR) 0.64; 95% confidence interval (CI) 0.49-0.83] and 42% (OR 0.58; 95% CI 0.43-0.77), respectively, less likely to have metabolic syndrome. Domestic and transportational PA provided no specific level of protection from metabolic syndrome. Those reporting a TPAV that met the DHHS PA recommendation were found to be 33% (OR 0.67; 95%; CI 0.55-0.83) less likely to have metabolic syndrome compared to their sedentary counterparts. Adults reporting engaging in only vigorous-intensity LTPA were found to be 37% (OR 0.63; 95 CI 0.42-0.96) to 56% (OR 0.44; 95% CI 0.29-0.67) less likely to have metabolic syndrome. CONCLUSIONS: Volume, intensity, and domain of PA may all play important roles in reducing the prevalence and risk of metabolic syndrome.
Authors: Katrina D DuBose; Andrew J McKune; Patricia Brophy; Gabriel Geyer; Robert C Hickner Journal: Pediatr Exerc Sci Date: 2015-04-22 Impact factor: 2.333
Authors: Robert L Newton; Hongmei Han; William D Johnson; DeMarc A Hickson; Timothy S Church; Herman A Taylor; Catrine Tudor-Locke; Patricia M Dubbert Journal: Prev Med Date: 2013-10-03 Impact factor: 4.018
Authors: Thirumagal Kanagasabai; Niels A Thakkar; Jennifer L Kuk; James R Churilla; Chris I Ardern Journal: Int J Behav Nutr Phys Act Date: 2015-05-16 Impact factor: 6.457
Authors: Jui-Hua Huang; Ren-Hau Li; Shu-Ling Huang; Hon-Ke Sia; Yu-Ling Chen; Feng-Cheng Tang Journal: Int J Environ Res Public Health Date: 2015-12-16 Impact factor: 3.390
Authors: José A Serrano-Sánchez; Luis M Bello-Luján; Juan M Auyanet-Batista; María J Fernández-Rodríguez; Juan J González-Henríquez Journal: PLoS One Date: 2014-12-18 Impact factor: 3.240