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特定领域久坐行为的聚类及其与社区居住老年人身体功能的关系。

Clustering of Domain-Specific Sedentary Behaviors and Their Association With Physical Function Among Community-Dwelling Older Adults.

出版信息

J Phys Act Health. 2020 May 19;17(7):709-714. doi: 10.1123/jpah.2019-0219.

DOI:10.1123/jpah.2019-0219
PMID:32432441
Abstract

BACKGROUND

The present study examined the cluster of domain-specific sedentary behaviors (SBs) and their associations with physical function among community-dwelling older adults to identify the target groups that require intervention for SBs.

METHODS

A total of 314 older adults who participated in a population-based cross-sectional survey and an on-site functional assessment in Matsudo City in Chiba participated in this study. Participants were asked to report the daily average of 6 domain-specific SBs. To identify the cluster of domain-specific SBs, hierarchical cluster analysis was performed using the Ward method. Analysis of covariance adjusted for sociodemographic factors, exercise habit, chronic disease, and total SB time was performed to examine the associations between each cluster and physical functional status.

RESULTS

The average age of the participants was 74.5 (5.2) years. The 4 clusters identified were leisure cluster, low cluster, work and personal computer use cluster, and television viewing cluster. The analysis of covariance adjusted for covariates showed that grip strength (P = .01), maximum walking speed (P = .03), and 1-leg standing time (P = .03) were significantly poorer in the television viewing cluster than other clusters.

CONCLUSIONS

It has been concluded that the television viewing group identified as a high-risk group of physical functional decline; therefore, interventions targeting this group are needed to prevent physical functional decline.

摘要

背景

本研究旨在探讨特定领域久坐行为(SBs)的聚类及其与社区居住的老年人身体功能的关系,以确定需要干预 SBs 的目标人群。

方法

共有 314 名老年人参加了一项基于人群的横断面调查和在千叶市松户市进行的现场功能评估,他们参与了这项研究。要求参与者报告 6 项特定领域 SBs 的日常平均时间。为了确定特定领域 SBs 的聚类,使用 Ward 法进行层次聚类分析。对社会人口统计学因素、运动习惯、慢性疾病和总 SB 时间进行协方差分析,以检验每个聚类与身体功能状态之间的关系。

结果

参与者的平均年龄为 74.5(5.2)岁。确定的 4 个聚类分别为休闲聚类、低聚类、工作和个人计算机使用聚类以及电视观看聚类。协方差分析调整协变量后显示,电视观看聚类的握力(P =.01)、最大步行速度(P =.03)和单腿站立时间(P =.03)明显差于其他聚类。

结论

已经得出结论,观看电视的群体被确定为身体功能下降的高风险群体;因此,需要针对该群体进行干预,以预防身体功能下降。

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