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Cumulative Associations Between Midlife Health Behaviors and Physical Functioning in Early Old Age: A 17‐Year Prospective Cohort Study
Author(s) -
Sabia Séverine,
Elbaz Alexis,
Rouveau Nicolas,
Brunner Eric J.,
Kivimaki Mika,
SinghManoux Archana
Publication year - 2014
Publication title -
journal of the american geriatrics society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.992
H-Index - 232
eISSN - 1532-5415
pISSN - 0002-8614
DOI - 10.1111/jgs.13071
Subject(s) - medicine , prospective cohort study , gerontology , cohort study , cohort , demography , sociology
Objectives To examine cumulative associations between midlife health behaviors and walking speed and upper‐limb strength in early old age. Design Prospective cohort study. Setting Whitehall II Study. Participants Individuals (mean age 49.1 ± 5.9 in 1991–93) with health behavior data for at least two of the three assessments (1991–93, 1997–99, 2002–04) and physical functioning measures in 2007–09 (mean age 65.9 ± 5.9) (N = 5,671). Measurements A trained nurse assessed walking speed and upper‐limb strength. Unhealthy behaviors were defined as current or recent smoking, nonmoderate alcohol consumption (abstinence or heavy drinking), fruit and vegetable consumption less than twice per day, and physical inactivity (<1 h/wk of moderate and <1 h/wk of vigorous physical activity). For each unhealthy behavior, a cumulative score was calculated as the number of times a person reported the behavior over the three assessments divided by 3. The score ranged between 0 (never) and 1 (all three times). Results In linear regression models adjusted for age, sex, education, marital status, and height, all unhealthy behaviors in 1991–93 were associated with slower walking speed in 2007–09, with differences ranging from 0.10 (nonmoderate alcohol consumption) to 0.25 (physical inactivity) of a standard deviation between participants with and without the unhealthy behavior ( P t ‐test <.001). For walking speed, the accumulation‐of‐risk model provided the best fit for unhealthy diet ( β for a 1‐point increment in the low fruit and vegetable consumption score = −0.29, 95% confidence interval ( CI ) = −0.36 to −0.22) and physical inactivity ( β = −0.37, 95% CI = −0.45 to −0.29). For smoking and nonmoderate alcohol consumption, a cumulative effect was also observed, but partial F ‐tests did not suggest that it provided a better fit than models with behaviors in 1991–93, 1997–99, or 2002–04. All behavioral scores except smoking were associated with grip strength, but F ‐tests supported the accumulation‐of‐risk hypothesis only for physical inactivity. Conclusion These findings highlight the importance of duration of unhealthy behaviors, particularly for diet and physical activity, when examining associations with physical functioning.