Rebecca Seguin1, David M Buchner2, Jingmin Liu3, Matthew Allison4, Todd Manini5, Ching-Yun Wang3, Joann E Manson6, Catherine R Messina7, Mahesh J Patel8, Larry Moreland9, Marcia L Stefanick10, Andrea Z Lacroix3. 1. Division of Nutritional Sciences (Seguin), Cornell University, Ithaca; Fred Hutchinson Cancer Research Center (Seguin, Liu, Wang, LaCroix), Seattle, Washington. Electronic address: rebeccaseguin@cornell.edu. 2. Department of Kinesiology and Community Health (Buchner), University of Illinois at Urbana-Champaign, Illinois. 3. Fred Hutchinson Cancer Research Center (Seguin, Liu, Wang, LaCroix), Seattle, Washington. 4. Department of Family and Preventive Medicine (Allison), University of California San Diego, San Diego. 5. Department of Aging and Geriatric Research (Manini), University of Florida, Gainesville, Florida. 6. Department of Medicine (Manson), Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. 7. Department of Preventive Medicine (Messina), Stony Brook University School of Medicine, Stony Brook, New York. 8. Division of Cardiology (Patel), Department of Medicine, Duke University Medical Center, Durham, North Carolina. 9. Division of Rheumatology and Clinical Immunology (Moreland), University of Pittsburgh, Pittsburgh, Pennsylvania. 10. Department of Medicine (Stefanick), Stanford Prevention Research Center, Stanford University, Stanford, California.
Abstract
BACKGROUND: Although epidemiologic studies have shown associations between sedentary behavior and mortality, few have focused on older women with adequate minority representation and few have controlled for both physical activity and functional status. PURPOSE: The objective of this study was to determine the relationship between sedentary time and total; cardiovascular disease (CVD); coronary heart disease (CHD); and cancer mortality in a prospective, multiethnic cohort of postmenopausal women. METHODS: The study population included 92,234 women aged 50-79 years at baseline (1993-1998) who participated in the Women's Health Initiative Observational Study through September 2010. Self-reported sedentary time was assessed by questionnaire and examined in 4 categories (≤4, >4-8, ≥8-11, >11 hours). Mortality risks were examined using Cox proportional hazard models adjusting for confounders. Models were also stratified by age, race/ethnicity, body mass index, physical activity, physical function, and chronic disease to examine possible effect modification. Analyses were conducted in 2012-2013. RESULTS: The mean follow-up period was 12 years. Compared with women who reported the least sedentary time, women reporting the highest sedentary time had increased risk of all-cause mortality in the multivariate model (HR=1.12, 95% CI=1.05, 1.21). Results comparing the highest versus lowest categories for CVD, CHD, and cancer mortality were as follows: HR=1.13, 95% CI=0.99, 1.29; HR=1.27, 95% CI=1.04, 1.55; and HR=1.21, 95% CI=1.07, 1.37, respectively. For all mortality outcomes, there were significant linear tests for trend. CONCLUSIONS: There was a linear relationship between greater amounts of sedentary time and mortality risk after controlling for multiple potential confounders.
BACKGROUND: Although epidemiologic studies have shown associations between sedentary behavior and mortality, few have focused on older women with adequate minority representation and few have controlled for both physical activity and functional status. PURPOSE: The objective of this study was to determine the relationship between sedentary time and total; cardiovascular disease (CVD); coronary heart disease (CHD); and cancer mortality in a prospective, multiethnic cohort of postmenopausal women. METHODS: The study population included 92,234 women aged 50-79 years at baseline (1993-1998) who participated in the Women's Health Initiative Observational Study through September 2010. Self-reported sedentary time was assessed by questionnaire and examined in 4 categories (≤4, >4-8, ≥8-11, >11 hours). Mortality risks were examined using Cox proportional hazard models adjusting for confounders. Models were also stratified by age, race/ethnicity, body mass index, physical activity, physical function, and chronic disease to examine possible effect modification. Analyses were conducted in 2012-2013. RESULTS: The mean follow-up period was 12 years. Compared with women who reported the least sedentary time, women reporting the highest sedentary time had increased risk of all-cause mortality in the multivariate model (HR=1.12, 95% CI=1.05, 1.21). Results comparing the highest versus lowest categories for CVD, CHD, and cancer mortality were as follows: HR=1.13, 95% CI=0.99, 1.29; HR=1.27, 95% CI=1.04, 1.55; and HR=1.21, 95% CI=1.07, 1.37, respectively. For all mortality outcomes, there were significant linear tests for trend. CONCLUSIONS: There was a linear relationship between greater amounts of sedentary time and mortality risk after controlling for multiple potential confounders.
Authors: J David Curb; Anne McTiernan; Susan R Heckbert; Charles Kooperberg; Janet Stanford; Michael Nevitt; Karen C Johnson; Lori Proulx-Burns; Lisa Pastore; Michael Criqui; Sandra Daugherty Journal: Ann Epidemiol Date: 2003-10 Impact factor: 3.797
Authors: David W Dunstan; Robin M Daly; Neville Owen; Damien Jolley; Elena Vulikh; Jonathan Shaw; Paul Zimmet Journal: Diabetes Care Date: 2005-01 Impact factor: 19.112
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: David W Dunstan; Jo Salmon; Neville Owen; Timothy Armstrong; Paul Z Zimmet; Timothy A Welborn; Adrian J Cameron; Terence Dwyer; Damien Jolley; Jonathan E Shaw Journal: Diabetes Care Date: 2004-11 Impact factor: 19.112
Authors: D W Dunstan; E L M Barr; G N Healy; J Salmon; J E Shaw; B Balkau; D J Magliano; A J Cameron; P Z Zimmet; N Owen Journal: Circulation Date: 2010-01-11 Impact factor: 29.690
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: Robert V Same; David I Feldman; Nishant Shah; Seth S Martin; Mahmoud Al Rifai; Michael J Blaha; Garth Graham; Haitham M Ahmed Journal: Curr Cardiol Rep Date: 2016-01 Impact factor: 2.931
Authors: Aladdin H Shadyab; Caroline A Macera; Richard A Shaffer; Sonia Jain; Linda C Gallo; Michael J LaMonte; Alexander P Reiner; Charles Kooperberg; Cara L Carty; Chongzhi Di; Todd M Manini; Lifang Hou; Andrea Z LaCroix Journal: Am J Epidemiol Date: 2017-02-01 Impact factor: 4.897
Authors: Ching-Yun Wang; Jean De Dieu Tapsoba; Catherine Duggan; Kristin L Campbell; Anne McTiernan Journal: Stat Med Date: 2015-11-22 Impact factor: 2.373
Authors: Sarah K Keadle; Steven C Moore; Joshua N Sampson; Qian Xiao; Demetrius Albanes; Charles E Matthews Journal: Am J Prev Med Date: 2015-07-26 Impact factor: 5.043
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