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老年人久坐行为的性别特定类型及其与健康相关和社会人口因素的关联:潜在剖面分析。

Sex-specific typologies of older adults' sedentary behaviors and their associations with health-related and socio-demographic factors: a latent profile analysis.

机构信息

Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000, Ghent, Belgium.

出版信息

BMC Geriatr. 2021 Jan 19;21(1):66. doi: 10.1186/s12877-021-02011-5.

DOI:10.1186/s12877-021-02011-5
PMID:33468055
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7816402/
Abstract

BACKGROUND

Some types of sedentary behaviors tend to cluster in individuals or groups of older adults. Insight into how these different types of sedentary behavior cluster is needed, as recent research suggests that not all types of sedentary behavior may have the same negative effects on physical and mental health. Therefore, the aim of this study was to identify sex-specific typologies of older adults' sedentary behavior, and to examine their associations with health-related and socio-demographic factors.

METHODS

Cross-sectional data were collected as part of the BEPAS Seniors, and the Busschaert study among 696 Flemish older adults (60+). Typologies of self-reported sedentary behavior were identified using latent profile analysis, and associations with health-related and sociodemographic factors were examined using analyses of variances.

RESULTS

Five distinct typologies were identified from seven sedentary behaviors (television time, computer time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in men, and three typologies were identified from six sedentary behaviors (television time, transport-related sitting time, sitting for reading, sitting for hobbies, sitting for socializing and sitting for meals) in women. Typologies that are characterized by high television time seem to be related to more negative health outcomes, like a higher BMI, less grip strength, and a lower physical and mental health-related quality-of-life. Typologies that are represented by high computer time and motorized transport seem to be related to more positive health outcomes, such as a lower body mass index, more grip strength and a higher physical and mental health-related quality-of-life.

CONCLUSIONS

Although causal direction between identified typologies and health outcomes remains uncertain, our results suggests that future interventions should better focus on specific types of sedentary behavior (e.g. television time), or patterns of sedentary behavior, rather than on total sedentary behavior.

摘要

背景

某些类型的久坐行为往往在老年人个体或群体中聚集。深入了解这些不同类型的久坐行为如何聚集是必要的,因为最近的研究表明,并非所有类型的久坐行为对身心健康都可能有相同的负面影响。因此,本研究的目的是确定老年人久坐行为的性别特定类型,并研究它们与健康相关和社会人口学因素的关联。

方法

横断面数据是作为 BEPAS 老年人研究和 Busschaert 研究的一部分收集的,共有 696 名弗拉芒老年人(60 岁以上)参与。使用潜在剖面分析确定自我报告的久坐行为类型,使用方差分析检查与健康相关和社会人口学因素的关联。

结果

在男性中,从七种久坐行为(看电视时间、使用电脑时间、交通相关坐姿时间、阅读坐姿、爱好坐姿、社交坐姿和用餐坐姿)中确定了五个不同的类型,而在女性中,从六种久坐行为(看电视时间、交通相关坐姿时间、阅读坐姿、爱好坐姿、社交坐姿和用餐坐姿)中确定了三个类型。以高电视时间为特征的类型似乎与更负面的健康结果有关,如更高的 BMI、较低的握力和较低的身心健康相关生活质量。以高电脑时间和机动交通为特征的类型似乎与更积极的健康结果有关,如较低的 BMI、更高的握力和更高的身心健康相关生活质量。

结论

虽然确定的类型和健康结果之间的因果关系仍然不确定,但我们的结果表明,未来的干预措施应该更好地关注特定类型的久坐行为(如看电视时间)或久坐行为模式,而不是总久坐行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8efc/7816402/7ddbfb4f1f18/12877_2021_2011_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8efc/7816402/3b7c358bace5/12877_2021_2011_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8efc/7816402/7ddbfb4f1f18/12877_2021_2011_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8efc/7816402/3b7c358bace5/12877_2021_2011_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8efc/7816402/7ddbfb4f1f18/12877_2021_2011_Fig2_HTML.jpg

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