Kelly R Evenson1, Amy H Herring2, Fang Wen3. 1. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina; Center for Health Promotion and Disease Prevention, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina. Electronic address: kelly_evenson@unc.edu. 2. Department of Biostatistics at the Gillings School of Global Public Health, Carolina Population Center, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina. 3. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina.
Abstract
INTRODUCTION: Latent class analysis provides a method for understanding patterns of physical activity and sedentary behavior. This study explored the association of accelerometer-assessed patterns of physical activity/sedentary behavior with all-cause mortality. METHODS: The sample included 4,510 U.S. National Health and Nutrition Examination Survey participants aged ≥40 years enrolled in 2003-2006 with mortality follow-up through 2011. Participants used a hip-worn accelerometer for 1 week that provided minute-by-minute information on physical activity/sedentary behavior. Accelerometry patterns were derived using latent class analysis. Cox proportional hazards models provided adjusted hazard ratios with 95% CIs. Analyses were conducted from 2014 to 2016. RESULTS: During an average of 6.6 years of follow-up, 513 deaths occurred. For average counts/minute, the more-active classes had a lower risk of mortality compared with the lowest (Class 1). Findings were generally similar for percentage of the day in minutes and bouts of moderate to vigorous physical activity, defined two ways. For percentage of the day in sedentary behavior, generally no associations were identified. However, the class with the highest percentage of the day in sedentary bouts (Class 1) had a higher risk of mortality (adjusted hazard ratio, 2.10; 95% CI=1.11, 3.97) versus the class with fewer sedentary bouts (Class 7). CONCLUSIONS: In this national observational study, time spent in physical activity reduced the risk of all-cause mortality and time spent in sedentary bouts increased the risk of all-cause mortality, regardless of how both were accumulated. The latent class analysis contributed to understanding the impact of patterning of physical activity and sedentary behavior on mortality.
INTRODUCTION: Latent class analysis provides a method for understanding patterns of physical activity and sedentary behavior. This study explored the association of accelerometer-assessed patterns of physical activity/sedentary behavior with all-cause mortality. METHODS: The sample included 4,510 U.S. National Health and Nutrition Examination Survey participants aged ≥40 years enrolled in 2003-2006 with mortality follow-up through 2011. Participants used a hip-worn accelerometer for 1 week that provided minute-by-minute information on physical activity/sedentary behavior. Accelerometry patterns were derived using latent class analysis. Cox proportional hazards models provided adjusted hazard ratios with 95% CIs. Analyses were conducted from 2014 to 2016. RESULTS: During an average of 6.6 years of follow-up, 513 deaths occurred. For average counts/minute, the more-active classes had a lower risk of mortality compared with the lowest (Class 1). Findings were generally similar for percentage of the day in minutes and bouts of moderate to vigorous physical activity, defined two ways. For percentage of the day in sedentary behavior, generally no associations were identified. However, the class with the highest percentage of the day in sedentary bouts (Class 1) had a higher risk of mortality (adjusted hazard ratio, 2.10; 95% CI=1.11, 3.97) versus the class with fewer sedentary bouts (Class 7). CONCLUSIONS: In this national observational study, time spent in physical activity reduced the risk of all-cause mortality and time spent in sedentary bouts increased the risk of all-cause mortality, regardless of how both were accumulated. The latent class analysis contributed to understanding the impact of patterning of physical activity and sedentary behavior on mortality.
Authors: Charles E Matthews; Kong Y Chen; Patty S Freedson; Maciej S Buchowski; Bettina M Beech; Russell R Pate; Richard P Troiano Journal: Am J Epidemiol Date: 2008-02-25 Impact factor: 4.897
Authors: Charles E Matthews; Sarah S Cohen; Jay H Fowke; Xijing Han; Qian Xiao; Maciej S Buchowski; Margaret K Hargreaves; Lisa B Signorello; William J Blot Journal: Am J Epidemiol Date: 2014-08-01 Impact factor: 4.897
Authors: Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell Journal: Med Sci Sports Exerc Date: 2008-01 Impact factor: 5.411
Authors: Ezra I Fishman; Jeremy A Steeves; Vadim Zipunnikov; Annemarie Koster; David Berrigan; Tamara A Harris; Rachel Murphy Journal: Med Sci Sports Exerc Date: 2016-07 Impact factor: 5.411
Authors: Annemarie Koster; Paolo Caserotti; Kushang V Patel; Charles E Matthews; David Berrigan; Dane R Van Domelen; Robert J Brychta; Kong Y Chen; Tamara B Harris Journal: PLoS One Date: 2012-06-13 Impact factor: 3.240
Authors: Sophie Baumann; Diana Guertler; Franziska Weymar; Martin Bahls; Marcus Dörr; Neeltje van den Berg; Ulrich John; Sabina Ulbricht Journal: J Behav Med Date: 2019-06-12
Authors: Megan Huisingh-Scheetz; Kristen Wroblewski; Masha Kocherginsky; Elbert Huang; William Dale; Linda Waite; L Philip Schumm Journal: J Gerontol A Biol Sci Med Sci Date: 2018-04-17 Impact factor: 6.053
Authors: Margaret Schenkman; Charity G Moore; Wendy M Kohrt; Deborah A Hall; Anthony Delitto; Cynthia L Comella; Deborah A Josbeno; Cory L Christiansen; Brian D Berman; Benzi M Kluger; Edward L Melanson; Samay Jain; Julie A Robichaud; Cynthia Poon; Daniel M Corcos Journal: JAMA Neurol Date: 2018-02-01 Impact factor: 18.302
Authors: Peter T Katzmarzyk; Kenneth E Powell; John M Jakicic; Richard P Troiano; Katrina Piercy; Bethany Tennant Journal: Med Sci Sports Exerc Date: 2019-06 Impact factor: 5.411
Authors: Abdullah Bandar Alansare; Bethany Barone Gibbs; Claudia Holzman; J Richard Jennings; Christopher E Kline; Elizabeth Nagle; Janet M Catov Journal: Int J Behav Med Date: 2022-07-11
Authors: Abdullah Bandar Alansare; Bethany Barone Gibbs; Janet M Catov; J Richard Jennings; Christopher E Kline; Elizabeth Nagle; Claudia Holzman Journal: J Womens Health (Larchmt) Date: 2021-10-13 Impact factor: 3.017
Authors: David A Raichlen; Yann C Klimentidis; Chiu-Hsieh Hsu; Gene E Alexander Journal: J Gerontol A Biol Sci Med Sci Date: 2019-08-16 Impact factor: 6.053