睡眠、久坐和体力活动与表型年龄加速的关联：一项横断面等时替代模型研究。
Associations of sleeping, sedentary and physical activity with phenotypic age acceleration: a cross-sectional isotemporal substitution model.
机构信息
Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Liaoning Province, 110122, Shenyang, P.R. China.
Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin, 130021, China.
出版信息
BMC Geriatr. 2023 Mar 23;23(1):165. doi: 10.1186/s12877-023-03874-6.
BACKGROUND
Physical activity was believed to be associated with reduced aging among adults, while the competing nature of the physical activity and sedentary behavior has mainly been neglected in studies. We aimed to estimate the association of sleeping, sedentary behavior, and physical activity with aging among adults, considering the competing nature between variables of activity status.
METHODS
A total of 5288 participants who were 20 years or older from the National Health and Nutrition Examination Survey were involved. The questionnaire was used to collect data regarding sociodemographics (age, sex, ethnicity/race, and education), and lifestyle behaviors (smoking, drinking). The Global Physical Activity Questionnaire was used to measure self-reported time for sedentary behavior, walking/bicycling, and moderate-to-vigorous physical activity (MVPA). The sleeping duration was obtained via interview. Phenotypic age acceleration (PhenoAgeAccel) was calculated as an aging index using nine chemistry biomarkers. Isotemporal substitution models using multivariable linear regression to examine the associations of sleeping, sedentary behavior, and physical activity with PhenoAgeAccel, stratified by MVPA (< 150 min/week, ≥ 150 min/week).
RESULTS
Thirty minutes per day spent on sedentary behavior was positively associated with PhenoAgeAccel (β = 0.07, 95% CI: 0.04, 0.11), and 30 min/day spent on leisure-time MVPA was adversely associated with PhenoAgeAccel (β = - 0.55, 95% CI: - 0.73, - 0.38). Replacing 30 min/day sedentary behaviors with 30 min/day of MVPA (β = -3.98, 95% CI: -6.22, -1.74) or 30 min/day of walking/bicycling (β = -0.89, 95% CI: -1.10, -0.68) was adversely associated with PhenoAgeAccel. Substituting 30 min/day of walking/bicycling for 30 min/day of leisure-time MVPA was positively associated with PhenoAgeAccel (β = 3.09, 95% CI: 0.93, 5.25).
CONCLUSION
Sedentary behavior was positively associated with aging. Replacing sedentary behaviors with walking/bicycling or MVPA was adversely associated with aging among adults.
背景
人们认为体力活动与成年人的衰老减少有关，而体力活动和久坐行为的竞争性在研究中主要被忽视。我们旨在估计成年人中与衰老相关的睡眠、久坐行为和体力活动之间的关系，同时考虑到活动状态变量之间的竞争性质。
方法
共有 5288 名年龄在 20 岁或以上的参与者来自国家健康和营养检查调查。问卷调查用于收集社会人口统计学（年龄、性别、种族/民族和教育）和生活方式行为（吸烟、饮酒）的数据。全球体力活动问卷用于测量久坐行为、步行/骑自行车和中等到剧烈体力活动（MVPA）的自我报告时间。睡眠时间通过访谈获得。表型年龄加速（PhenoAgeAccel）作为衰老指数，使用 9 种化学生物标志物计算。使用多变量线性回归的等时替代模型来检查睡眠、久坐行为和体力活动与 PhenoAgeAccel 的关系，按 MVPA 分层（<150 分钟/周，≥150 分钟/周）。
结果
每天久坐行为 30 分钟与 PhenoAgeAccel 呈正相关（β=0.07，95%CI：0.04，0.11），每天 30 分钟的休闲时间中等到剧烈体力活动与 PhenoAgeAccel 呈负相关（β= -0.55，95%CI：-0.73，-0.38）。用 30 分钟/天的 MVPA（β=−3.98，95%CI：−6.22，-1.74）或 30 分钟/天的步行/骑自行车（β=−0.89，95%CI：−1.10，-0.68）代替每天 30 分钟的久坐行为与 PhenoAgeAccel 呈负相关。用 30 分钟/天的步行/骑自行车代替 30 分钟/天的休闲时间中等到剧烈体力活动与 PhenoAgeAccel 呈正相关（β=3.09，95%CI：0.93，5.25）。
结论
久坐行为与衰老呈正相关。用步行/骑自行车或 MVPA 代替久坐行为与成年人的衰老呈负相关。
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