24-Hour Physical Activity Intensity and Energy Intake Trajectories and Their Associations with All-Cause Mortality: A Population-Based Cohort Study.

IF 2.2 4区 医学 Q3 BEHAVIORAL SCIENCES
Zibo Wu, Xiaotong Li, Ruirui Guo, Xiaoyi Yuan, Fengdan Wang, Yan Liu, Sizhe Wang, Yibo Dong, Bo Li, Mengzi Sun
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引用次数: 0

Abstract

Diet and physical activity together affect health as important components of energy intake and energy expenditure, but few studies have considered the temporal interaction effect between them. Therefore, this study aimed to identify real-world 24-h physical activity intensity and energy intake trajectories and explore their associations with all-cause mortality. A total of 6389 participants from the 2003-2006 annual survey of the National Health and Nutrition Examination Survey (NHANES) were involved as baseline data in this study. Physical activity data was obtained from the physical activity monitor ActiGraph AM-7164. Energy intake data was collected by the Mobile Examination Center and telephone 3 to 10 days later. All-cause mortality data were obtained in 2019. The group-based trajectory model (GBTM) was used to identify trajectories of 24-h physical activity intensity and 24-h energy intake. Weighted Cox proportional hazard regressions were used to estimate the association between 24-h trajectory groups and all-cause mortality. The 24-h energy intake-physical activity intensity dual trajectories were divided into four groups, including group1 (46.9%): three meals and low active, group2 (36.2%): three meals and moderately active, group3 (8.8%): night eating and moderately active, and group4 (8.1%): three meals and highly active. The dual trajectories were associated with all-cause mortality. Compared to participants with three meals and low activity levels, participants with three meals and moderate activity had a reduced risk of all-cause mortality. In summary, this study found that participants with three meals and moderately active had a lower risk of all-cause mortality.

24小时体力活动强度和能量摄入轨迹及其与全因死亡率的关系:一项基于人群的队列研究
饮食和身体活动作为能量摄入和能量消耗的重要组成部分共同影响健康,但很少有研究考虑两者之间的时间交互效应。因此,本研究旨在确定现实世界24小时体力活动强度和能量摄入轨迹,并探讨它们与全因死亡率的关系。本研究以2003-2006年全国健康与营养检查调查(NHANES)年度调查的6389名参与者作为基线数据。身体活动数据来自身体活动监测仪ActiGraph AM-7164。3 ~ 10天后通过移动检测中心和电话采集能量摄入数据。2019年获得了全因死亡率数据。采用基于分组的运动轨迹模型(GBTM)识别24小时体力活动强度和24小时能量摄入的运动轨迹。加权Cox比例风险回归用于估计24小时轨迹组与全因死亡率之间的关系。将24 h能量摄入-体力活动强度双轨迹分为4组,其中组1(46.9%)为三餐低活动组,组2(36.2%)为三餐中活动组,组3(8.8%)为夜间进食中活动组,组4(8.1%)为三餐高活动组。双轨迹与全因死亡率相关。与三餐和低运动水平的参与者相比,三餐和适度运动的参与者的全因死亡率降低。总之,这项研究发现,三餐和适度运动的参与者有较低的全因死亡率。
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来源期刊
Behavioral Medicine
Behavioral Medicine 医学-行为科学
CiteScore
5.30
自引率
4.30%
发文量
44
审稿时长
>12 weeks
期刊介绍: Behavioral Medicine is a multidisciplinary peer-reviewed journal, which fosters and promotes the exchange of knowledge and the advancement of theory in the field of behavioral medicine, including but not limited to understandings of disease prevention, health promotion, health disparities, identification of health risk factors, and interventions designed to reduce health risks, ameliorate health disparities, enhancing all aspects of health. The journal seeks to advance knowledge and theory in these domains in all segments of the population and across the lifespan, in local, national, and global contexts, and with an emphasis on the synergies that exist between biological, psychological, psychosocial, and structural factors as they related to these areas of study and across health states. Behavioral Medicine publishes original empirical studies (experimental and observational research studies, quantitative and qualitative studies, evaluation studies) as well as clinical/case studies. The journal also publishes review articles, which provide systematic evaluations of the literature and propose alternative and innovative theoretical paradigms, as well as brief reports and responses to articles previously published in Behavioral Medicine.
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