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Medicine & Science in Sports & Exercise:
doi: 10.1249/MSS.0000000000000246
Original Investigation: PDF Only

Midlife Determinants Associated with Sedentary Behavior in Old Age

van der Berg, Julianne D.; Bosma, Hans; Caserotti, Paolo; Eiriksdottir, Gudny; Arnardottir, Nanna Yr; Martin, Kathryn R.; Brychta, Robert J.; Chen, Kong Y.; Sveinsson, Thorarinn; Johannsson, Erlingur; Launer, Lenore J.; Gudnason, Vilmundur; Jonsson, Palmi V.; Stehouwer, Coen D.A.; Harris, Tamara B.; Koster, Annemarie

Published Ahead-of-Print
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Background: Sedentary behavior is associated with adverse health effects. To prevent sedentary behavior and limit health risks, insights into associated determinants are essential. Sedentary behavior should be viewed as a distinct health behavior, therefore its determinants should be independently identified.

Purpose: This study examines the prospective associations between a wide-range of midlife determinants and objectively measured sedentary time in old age.

Methods: Data from 565 participants (aged 73-92 years) of the AGESII-Reykjavik Study were used. Participants wore an accelerometer (ActiGraph GT3X) on the right hip for 7 consecutive days. On average 31 years earlier (during midlife) demographic, socioeconomic, lifestyle and biomedical factors were collected. Linear regression models were used to examine prospective associations between midlife determinants and sedentary time (<100 counts per minute) in old age.

Results: After adjustment for sex, age, follow-up time, minutes of moderate to vigorous physical activity, BMI, health status, mobility limitation and joint pain in old age, the midlife determinants not being married, primary education, living in a duplex or living in an apartment (vs. villa), being obese and having a heart disease were associated with, respectively, on average 15.3, 12.4, 13.5, 13.3, 21.8, 38.9 sedentary minutes more per day in old age.

Conclusions: This study shows that demographic, socioeconomic and biomedical determinants in midlife were associated with considerably more sedentary time per day in old age. These results can indicate the possibility of predicting sedentariness in old age, which could be used to identify target groups for prevention programs reducing sedentary time in older adults.

(C) 2014 American College of Sports Medicine


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