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Longitudinal timing of physical activity and associated cardiometabolic and behavioral health outcomes in young adults
被引:2
作者:
Bailey, Caitlin P.
[1
]
Elmi, Angelo
[2
]
Qian, Jingyi
[3
,4
]
Dipietro, Loretta
[5
]
Tackney, Mia S.
[6
]
Napolitano, Melissa A.
[7
]
机构:
[1] George Washington Univ, Milken Inst Sch Publ Hlth, Prevent & Community Hlth, Washington, DC 20052 USA
[2] George Washington Univ, Milken Inst Sch Publ Hlth, Biostat & Bioinformat, Washington 20852, DC USA
[3] Brigham & Womens Hosp, Div Sleep & Circadian Disorders, Boston, MA USA
[4] Harvard Med Sch, Boston, MA USA
[5] George Washington Univ, Milken Inst Sch Publ Hlth, Exercise & Nutr Sci, Washington, DC USA
[6] Univ Cambridge, MRC Biostat Unit, Cambridge, England
[7] George Washington Univ, Milken Inst Sch Publ Hlth, Prevent & Community Hlth Exercise & Nutr Sci, Washington, DC USA
基金:
美国国家卫生研究院;
关键词:
physical activity;
timing;
cardiometabolic health;
young adult;
SOCIAL JETLAG;
WEIGHT-LOSS;
EXERCISE;
TIME;
D O I:
10.1093/abm/kaae084
中图分类号:
B84 [心理学];
学科分类号:
04 ;
0402 ;
摘要:
Background This is the first study to examine longitudinal associations between self-selected timing of moderate-to-vigorous physical activity (MVPA) and health outcomes in young adults over 18 months.Methods Young adults (N = 434, Mage = 23.9, SDage = 4.6 years) enrolled in a weight management trial recorded 4-7 days of ActiGraph wear time at >= 1 time point (baseline, months 6, 12, and 18). Time-of-day categories were based on quartiles of the temporal distribution of MVPA min/h at baseline: morning (06:00-11:59), afternoon (12:00-15:59), evening (16:00-18:59), and night (19:00-00:59). The proportion of weekly MVPA accumulated during each time category was the predictor in longitudinal linear mixed-effects models predicting body mass index (BMI) and total weekly MVPA. Longitudinal quasibinomial generalized estimating equations models predicted cardiometabolic risk. Interactions were tested, and marginal trend estimates were generated for sex and age subgroups.Results The analytic sample was 79% female and 49% non-Hispanic White, with a mean (+/- SD) weekly MVPA of 311 +/- 167 min at baseline. In adjusted models, there were no associations with BMI. Morning MVPA was inversely associated with cardiometabolic risk (OR [95% CI]: 0.99 [0.98-0.99]) for both sex and age groups. Evening MVPA was inversely associated with cardiometabolic risk for 26-35 year olds (0.98 [0.97-0.99]). Morning MVPA was associated with greater total MVPA across subgroups, and afternoon MVPA was associated with less total MVPA in women.Conclusions Over 18 months, incremental health benefits may accrue with optimal activity timing in young adults. Activity-based interventions designed to improve cardiometabolic and behavioral health outcomes in young adults may be optimized by tailoring timing recommendations to demographic factors. This study examined the time of day when young adults engaged in moderate-to-vigorous physical activity (MVPA) and how this timing related to health outcomes over the course of an 18-month weight management program. We looked at the proportion of MVPA performed during different times of the day: morning (06:00-11:59), afternoon (12:00-15:59), evening (16:00-18:59), and night (19:00-00:59). Although we found no association between the timing of MVPA and body mass index (BMI), we did discover that a higher proportion of morning MVPA was linked to better cardiovascular and metabolic health. Additionally, more morning MVPA was associated with greater total weekly MVPA. These findings suggest that the timing of physical activity may have health implications for young adults. Tailoring young adult physical activity interventions to encourage morning activity could improve cardiovascular/metabolic health outcomes and improve weekly physical activity levels.
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页数:12
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