• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

可穿戴指环测量的睡眠、久坐时间和身体活动与心脏代谢健康的关联:一种组合数据分析方法。

Associations of Wearable Ring Measured Sleep, Sedentary Time, and Physical Activity With Cardiometabolic Health: A Compositional Data Analysis Approach.

机构信息

Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.

Centre for Wireless Communications, University of Oulu, Oulu, Finland.

出版信息

Scand J Med Sci Sports. 2024 Aug;34(8):e14710. doi: 10.1111/sms.14710.

DOI:10.1111/sms.14710
PMID:39164958
Abstract

Movement behaviors within the 24-h day, including physical activity (PA), sedentary time, and sleep, are associated with cardiometabolic health. We aimed to determine the association between 24-h movement composition and cardiometabolic health while accounting for sleep efficiency. Altogether, 1134 participants from the Northern Finland Birth Cohort 1986 study, free from prior cardiovascular disease, provided at least 4 days of 24-h activity and sleep efficiency measured with a wearable ring. Participants' body composition was assessed with bioimpedance, blood pressure, and waist circumference were measured, and lipids and glucose were analyzed from a fasting blood sample. Linear regression models for cardiometabolic outcomes were created with 24-h movement composition and covariates, including sleep efficiency and behavioral and socioeconomic factors. Isotemporal time reallocations were used to demonstrate the dose-dependent associations between time use and outcomes. Beneficial associations with the outcomes were detected when sedentary time was reallocated to light PA, moderate-to-vigorous PA (MVPA), or sleep. For example, substituting 30 min of sedentary time with MVPA was associated with 7.2% (95% CI from -9.8% to -4.5%) lower visceral fat area, 4.9% (95% CI from -6.5% to -3.3%) lower body fat percentage, 1.6% (95% CI from -2.3% to -0.9%) smaller waist circumference, and 2.4% (95% CI from 1.2% to 3.5%) higher high-density lipoprotein (HDL) cholesterol after accounting for gender, marital status, education level, employment, smoking, alcohol consumption, and sleep efficiency. Substituting sedentary time with sleep or light PA showed beneficial but smaller differences in adiposity measures and HDL cholesterol. Limiting sedentary time should be encouraged in adulthood.

摘要

24 小时内的活动行为,包括体力活动(PA)、久坐时间和睡眠,与心血管代谢健康有关。我们旨在确定 24 小时活动组成与心血管代谢健康之间的关联,同时考虑睡眠效率。共有 1134 名来自芬兰北部出生队列 1986 研究的参与者没有心血管疾病史,他们提供了至少 4 天的 24 小时活动和睡眠效率数据,这些数据是通过可穿戴戒指测量的。参与者的身体成分是通过生物阻抗评估的,血压和腰围是通过测量得到的,空腹血液样本分析了血脂和血糖。使用线性回归模型创建了心血管代谢结果与 24 小时运动组成和协变量(包括睡眠效率和行为及社会经济因素)之间的关系。等时时间再分配用于展示时间利用与结果之间的剂量依赖性关联。当久坐时间重新分配到轻度 PA、中到高强度 PA(MVPA)或睡眠中时,与结果存在有益的关联。例如,用 30 分钟的久坐时间替换 MVPA 与内脏脂肪面积降低 7.2%(95%CI 为-9.8%至-4.5%)、体脂百分比降低 4.9%(95%CI 为-6.5%至-3.3%)、腰围缩小 1.6%(95%CI 为-2.3%至-0.9%)和高密度脂蛋白(HDL)胆固醇升高 2.4%(95%CI 为 1.2%至 3.5%)有关,这些关联在考虑性别、婚姻状况、教育水平、就业、吸烟、饮酒和睡眠效率后得出。用睡眠或轻度 PA 替代久坐时间会对肥胖指标和 HDL 胆固醇产生有益但较小的差异。在成年期应鼓励限制久坐时间。

相似文献

1
Associations of Wearable Ring Measured Sleep, Sedentary Time, and Physical Activity With Cardiometabolic Health: A Compositional Data Analysis Approach.可穿戴指环测量的睡眠、久坐时间和身体活动与心脏代谢健康的关联:一种组合数据分析方法。
Scand J Med Sci Sports. 2024 Aug;34(8):e14710. doi: 10.1111/sms.14710.
2
Compositional Associations of Sleep and Activities within the 24-h Cycle with Cardiometabolic Health Markers in Adults.成年人 24 小时周期内睡眠和活动的组成关联与心脏代谢健康标志物的关系。
Med Sci Sports Exerc. 2021 Feb 1;53(2):324-332. doi: 10.1249/MSS.0000000000002481.
3
Use of Compositional Data Analysis to Show Estimated Changes in Cardiometabolic Health by Reallocating Time to Light-Intensity Physical Activity in Older Adults.运用成分数据分析方法,通过重新分配老年人的时间用于低强度体力活动,显示其对心脏代谢健康的估计变化。
Sports Med. 2020 Jan;50(1):205-217. doi: 10.1007/s40279-019-01153-2.
4
Health outcomes associated with reallocations of time between sleep, sedentary behaviour, and physical activity: a systematic scoping review of isotemporal substitution studies.与睡眠、久坐行为和体力活动之间的时间再分配相关的健康结果:一项关于等时替代研究的系统范围综述。
Int J Behav Nutr Phys Act. 2018 Jul 13;15(1):69. doi: 10.1186/s12966-018-0691-3.
5
24-hour movement behaviours and cardiometabolic markers in women with polycystic ovary syndrome (PCOS): a compositional data analysis.多囊卵巢综合征(PCOS)女性的24小时运动行为与心脏代谢标志物:一项成分数据分析
Hum Reprod. 2024 Dec 1;39(12):2830-2847. doi: 10.1093/humrep/deae232.
6
Replacing sedentary time with physical activity and sleep: Associations with cardiometabolic health markers in adults.用体育活动和睡眠取代久坐时间:与成年人心脏代谢健康指标的关联。
Scand J Med Sci Sports. 2023 Jun;33(6):907-920. doi: 10.1111/sms.14323. Epub 2023 Feb 8.
7
Longitudinal Associations between 24-h Movement Behaviors and Cardiometabolic Biomarkers: A Natural Experiment over Retirement.退休后 24 小时活动行为与心血管代谢生物标志物的纵向关联:自然实验。
Med Sci Sports Exerc. 2024 Jul 1;56(7):1297-1306. doi: 10.1249/MSS.0000000000003415. Epub 2024 Feb 26.
8
Ten-year change in sedentary behaviour, moderate-to-vigorous physical activity, cardiorespiratory fitness and cardiometabolic risk: independent associations and mediation analysis.十年间久坐行为、中高强度体力活动、心肺适能和心血管代谢风险的变化:独立关联和中介分析。
Br J Sports Med. 2018 Aug;52(16):1063-1068. doi: 10.1136/bjsports-2016-096083. Epub 2016 Aug 4.
9
Associations of 24 h time-use compositions of sitting, standing, physical activity and sleeping with optimal cardiometabolic risk and glycaemic control: The Maastricht Study.24 小时内坐姿、站立、体力活动和睡眠的时间分配与最佳心血管代谢风险和血糖控制的关系:马斯特里赫特研究。
Diabetologia. 2024 Jul;67(7):1356-1367. doi: 10.1007/s00125-024-06145-0. Epub 2024 Apr 24.
10
Isotemporal substitution of inactive time with physical activity and time in bed: cross-sectional associations with cardiometabolic health in the PREDIMED-Plus study.用非活跃时间进行身体活动和卧床时间的等时替代:PREDIMED-Plus 研究中与心血管代谢健康的横断面关联。
Int J Behav Nutr Phys Act. 2019 Dec 23;16(1):137. doi: 10.1186/s12966-019-0892-4.

引用本文的文献

1
Biomarkers of aging: from molecules and surrogates to physiology and function.衰老的生物标志物:从分子与替代指标到生理学与功能
Physiol Rev. 2025 Jul 1;105(3):1609-1694. doi: 10.1152/physrev.00045.2024. Epub 2025 Mar 20.
2
Big data approaches for novel mechanistic insights on sleep and circadian rhythms: a workshop summary.用于深入了解睡眠和昼夜节律新机制的大数据方法:研讨会总结
Sleep. 2025 Jun 13;48(6). doi: 10.1093/sleep/zsaf035.
3
Association between physical activity levels and stroke risk among Chinese adults aged 45 and over based on CHARLS.
基于中国健康与养老追踪调查(CHARLS)的45岁及以上中国成年人身体活动水平与中风风险之间的关联
Sci Rep. 2024 Dec 30;14(1):31739. doi: 10.1038/s41598-024-81919-5.