John Bellettiere1,2, Genevieve N Healy3,4,5, Michael J LaMonte6, Jacqueline Kerr1, Kelly R Evenson7, Eileen Rillamas-Sun8, Chongzhi Di8, David M Buchner9, Melbourne F Hovell2,10, Andrea Z LaCroix1. 1. Department of Family Medicine and Public Health, University of California San Diego, La Jolla. 2. Center for Behavioral Epidemiology and Community Health (C-BEACH), Graduate School of Public Health, San Diego State University, California. 3. The University of Queensland, School of Public Health, Australia. 4. Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia. 5. School of Physiotherapy, Curtin University, Perth, Western Australia, Australia. 6. Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo SUNY. 7. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Seattle, WA. 8. Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA. 9. University of Illinois at Urbana-Champaign. 10. Division of Health Promotion and Behavioral Science, Graduate School of Public Health, San Diego State University, California.
Abstract
BACKGROUND: We examined associations of sedentary time and sedentary accumulation patterns (ie, how sedentary time is accumulated) with prevalent diabetes in an ethnically diverse cohort of older women. METHODS: Community-dwelling women aged 63-99 (n = 6,116; median age = 79) wore ActiGraph GT3X+ accelerometers 24 h/day for up to 7 days from which we derived average daily sedentary time and three measures of sedentary accumulation patterns: breaks in sedentary time, usual sedentary bout duration, and alpha. Odds ratios (ORs) and 95% confidence intervals (CIs) for prevalent diabetes were estimated using multivariable logistic regression. RESULTS: Twenty-one percent (n = 1,282) of participants had diabetes. Women in the highest quartile of sedentary time (≥10.3 h/day) had higher odds of diabetes (OR = 2.18; 95% CI = 1.77-2.70) than women in the lowest quartile (≤8.3 h/day). Prolonged accumulation patterns (ie, accumulating sedentary time in longer sedentary bouts) was associated with higher odds of diabetes than regularly interrupted patterns (comparing quartiles with the most vs least prolonged patterns: usual bout duration OR = 1.57, 95% CI = 1.28-1.92; alpha OR = 1.61, 95% CI = 1.32-1.97); however, there was no significant association for breaks in sedentary time (OR = 1.00, 95% CI = 0.82-1.20). CONCLUSIONS: High levels of sedentary time and accumulating it in prolonged patterns were associated with increased odds of diabetes among older women.
BACKGROUND: We examined associations of sedentary time and sedentary accumulation patterns (ie, how sedentary time is accumulated) with prevalent diabetes in an ethnically diverse cohort of older women. METHODS: Community-dwelling women aged 63-99 (n = 6,116; median age = 79) wore ActiGraph GT3X+ accelerometers 24 h/day for up to 7 days from which we derived average daily sedentary time and three measures of sedentary accumulation patterns: breaks in sedentary time, usual sedentary bout duration, and alpha. Odds ratios (ORs) and 95% confidence intervals (CIs) for prevalent diabetes were estimated using multivariable logistic regression. RESULTS: Twenty-one percent (n = 1,282) of participants had diabetes. Women in the highest quartile of sedentary time (≥10.3 h/day) had higher odds of diabetes (OR = 2.18; 95% CI = 1.77-2.70) than women in the lowest quartile (≤8.3 h/day). Prolonged accumulation patterns (ie, accumulating sedentary time in longer sedentary bouts) was associated with higher odds of diabetes than regularly interrupted patterns (comparing quartiles with the most vs least prolonged patterns: usual bout duration OR = 1.57, 95% CI = 1.28-1.92; alpha OR = 1.61, 95% CI = 1.32-1.97); however, there was no significant association for breaks in sedentary time (OR = 1.00, 95% CI = 0.82-1.20). CONCLUSIONS: High levels of sedentary time and accumulating it in prolonged patterns were associated with increased odds of diabetes among older women.
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