• 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

多民族城市亚洲人群体力活动和久坐行为的加速度计特征。

Accelerometer Profile of Physical Activity and Sedentary Behavior in a Multi-Ethnic Urban Asian Population.

机构信息

National University of Singapore.

Agency for Science, Technology and Research (A*STAR).

出版信息

Res Q Exerc Sport. 2021 Sep;92(3):361-368. doi: 10.1080/02701367.2020.1734520. Epub 2020 Mar 10.

DOI:10.1080/02701367.2020.1734520
PMID:32154777
Abstract

: Variability in accelerometry-data processing decisions limited data comparability across studies. We aimed to examine different accelerometry-data processing rules: varying bout lengths and allowance of 0- and 2-min interruptions on the total and bout-accumulated time spent in moderate-to-vigorous physical activity (MVPA) and sedentary behavior estimates, and describe the distribution of activity time based on counts per min (CPM) in granular categories. : Using the Singapore Health 2 survey, this study included 746 adults (41.8% women, median age 45.0 years) who provided valid ActiGraph GT3X+ accelerometer-data (≥4 valid days with ≥10-h/day). Quantile regression analysis adjusting for accelerometry daily wear time, age, and gender was performed to calculate the median and interquartile range of accelerometry estimates. : Median MVPA time accumulated in bouts of 1-min versus bouts of 10-min was 39.2 min/day and 6.0 min/day, respectively. MVPA time was higher when considering a 2-min interruption (range: 1.8-39.2 min/day) compared to 0-min interruption (range: 0-35.5 min/day) across bout lengths of 1- to 15-min. Participants were sedentary (≤100 CPM) for a daily median of 7.6 h/day. Median activities min/day on the lower-intensity activity spectrum (100-2499 CPM) decreased from 63.4 to 4.6 min/day, while on the higher-intensity activity spectrum (≥2500 CPM) was ≤2.9 min/day. Men generally spent more time in MVPA than women. : This study highlights the differences in accelerometry estimates based on data processing decisions, and the importance of quantifying accelerometry-based activity time across the granular intensity spectrum. More studies are warranted to understand the determinants and health impact of these behaviors.

摘要

:加速度计数据处理决策的变异性限制了研究之间数据的可比性。我们旨在研究不同的加速度计数据处理规则:改变活动时长和允许总时间和活动时长的 0-2 分钟中断,以估计中度至剧烈体力活动(MVPA)和久坐行为,以及根据每分钟计数 (CPM) 将活动时间描述为细粒度类别。

:使用新加坡健康 2 调查,本研究纳入了 746 名成年人(41.8%为女性,中位年龄为 45.0 岁),他们提供了有效的 ActiGraph GT3X+加速度计数据(≥4 天,每天≥10 小时)。进行了定量回归分析,调整了加速度计每日佩戴时间、年龄和性别,以计算加速度计估计值的中位数和四分位距。

:1 分钟与 10 分钟的活动时长相比,1 分钟活动时长的 MVPA 累积中位数为 39.2 分钟/天和 6.0 分钟/天。当考虑 2 分钟中断(范围:1.8-39.2 分钟/天)而不是 0 分钟中断(范围:0-35.5 分钟/天)时,不同时长的 MVPA 时间都更高(1-15 分钟)。参与者每天平均久坐(≤100 CPM)时间为 7.6 小时/天。每天较低强度活动范围(100-2499 CPM)的中位数活动分钟数从 63.4 分钟/天减少到 4.6 分钟/天,而较高强度活动范围(≥2500 CPM)的中位数活动分钟数则≤2.9 分钟/天。男性通常比女性花费更多时间进行 MVPA。

:本研究强调了基于数据处理决策的加速度计估计值的差异,以及量化整个强度谱基于加速度计的活动时间的重要性。需要更多的研究来了解这些行为的决定因素和健康影响。

相似文献

1
Accelerometer Profile of Physical Activity and Sedentary Behavior in a Multi-Ethnic Urban Asian Population.多民族城市亚洲人群体力活动和久坐行为的加速度计特征。
Res Q Exerc Sport. 2021 Sep;92(3):361-368. doi: 10.1080/02701367.2020.1734520. Epub 2020 Mar 10.
2
Estimating Physical Activity and Sedentary Behavior in a Free-Living Context: A Pragmatic Comparison of Consumer-Based Activity Trackers and ActiGraph Accelerometry.在自由生活环境中评估身体活动和久坐行为:基于消费者的活动追踪器与ActiGraph加速度计的实用比较
J Med Internet Res. 2016 Sep 7;18(9):e239. doi: 10.2196/jmir.5531.
3
Bidirectional 10-year associations of accelerometer-measured sedentary behavior and activity categories with weight among middle-aged adults.计步器测量的久坐行为和活动类别与中年成年人体重的双向 10 年关联。
Int J Obes (Lond). 2020 Mar;44(3):559-567. doi: 10.1038/s41366-019-0443-8. Epub 2019 Aug 28.
4
Bidirectional associations of accelerometer-derived physical activity and stationary behavior with self-reported mental and physical health during midlife.使用加速度计测量的身体活动和固定行为与中年时自我报告的精神和身体健康的双向关联。
Int J Behav Nutr Phys Act. 2021 Jun 6;18(1):74. doi: 10.1186/s12966-021-01145-4.
5
National youth sedentary behavior and physical activity daily patterns using latent class analysis applied to accelerometry.运用潜在类别分析对加速度计数据进行分析,研究全国青少年的久坐行为和日常身体活动模式。
Int J Behav Nutr Phys Act. 2016 May 3;13:55. doi: 10.1186/s12966-016-0382-x.
6
Objectively-measured sedentary time and physical activity in a bi-ethnic sample of young children: variation by socio-demographic, temporal and perinatal factors.在一个具有双种族的幼儿样本中,客观测量的久坐时间和身体活动:社会人口统计学、时间和围产期因素的差异。
BMC Public Health. 2020 Jan 28;20(1):109. doi: 10.1186/s12889-019-8132-z.
7
Associations of neighborhood walkability with intensity- and bout-specific physical activity and sedentary behavior of older adults in Japan.日本老年人社区步行环境与不同强度和类型身体活动和久坐行为的关联。
Geriatr Gerontol Int. 2019 Sep;19(9):861-867. doi: 10.1111/ggi.13730. Epub 2019 Jul 9.
8
Physical activity levels in adults and elderly from triaxial and uniaxial accelerometry. The Tromsø Study.成年人和老年人的三轴和单轴加速度计活动水平。特罗姆瑟研究。
PLoS One. 2019 Dec 3;14(12):e0225670. doi: 10.1371/journal.pone.0225670. eCollection 2019.
9
A comparison of 10 accelerometer non-wear time criteria and logbooks in children.比较 10 种加速度计非佩戴时间标准和儿童日志。
BMC Public Health. 2018 Mar 6;18(1):323. doi: 10.1186/s12889-018-5212-4.
10
Descriptive analysis of preschool physical activity and sedentary behaviors - a cross sectional study of 3-year-olds nested in the SKOT cohort.学龄前儿童身体活动和久坐行为的描述性分析——一项嵌套于SKOT队列中的3岁儿童横断面研究。
BMC Public Health. 2017 Jun 30;17(1):613. doi: 10.1186/s12889-017-4521-3.

引用本文的文献

1
Patterns and associated factors of accelerometer-measured physical activity in the metropolitan areas of Singapore and Berlin - comparative analysis of the Singapore population health studies and the German National Cohort (NAKO).新加坡和柏林大都市区中通过加速度计测量的身体活动模式及相关因素——新加坡人口健康研究与德国国民队列(NAKO)的对比分析
BMC Public Health. 2025 May 21;25(1):1872. doi: 10.1186/s12889-025-22922-x.
2
Comparing national device-based physical activity surveillance systems: a systematic review.比较基于器械的国家身体活动监测系统:系统评价。
Int J Behav Nutr Phys Act. 2024 Jul 3;21(1):67. doi: 10.1186/s12966-024-01612-8.
3
Using Lower Limb Wearable Sensors to Identify Gait Modalities: A Machine-Learning-Based Approach.
使用下肢可穿戴传感器识别步态模式:基于机器学习的方法。
Sensors (Basel). 2023 Nov 17;23(22):9241. doi: 10.3390/s23229241.
4
Go Red for Women Strategically Focused Research Network: Summary of Findings and Network Outcomes.“为女性佩戴红丝带战略性重点研究网络”:研究结果摘要及网络成果。
J Am Heart Assoc. 2021 Feb;10(5):e019519. doi: 10.1161/JAHA.120.019519. Epub 2021 Feb 23.