"我们工作得(太)舒适了吗?了解在家庭环境中工作时久坐行为的性质和相关因素。

IF 1.6 Q3 PSYCHOLOGY, APPLIED Occupational Health Science Pub Date : 2023-01-01 Epub Date: 2022-11-29 DOI:10.1007/s41542-022-00128-6
Ailsa Niven, Graham Baker, Eva Coral Almeida, Samantha G Fawkner, Ruth Jepson, Jillian Manner, Sarah Morton, Glenna Nightingale, Divya Sivaramakrishnan, Claire Fitzsimons
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引用次数: 0

摘要

由于 COVID-19 的出现,在家工作的人数有所增加,但人们对这一变化如何影响久坐时间增加这一健康风险行为知之甚少。这项横断面探索性研究的目的是评估在家工作时的职业性久坐行为,并使用能力-机会-动机-行为(COM-B)模型来确定这种行为的影响因素。主要在家工作的大学教职员工(n = 267;69% 为女性;92% 为白人)填写了一份调查问卷,以评估坐的时间、坐的休息时间、人口统计学特征和职业特征,并填写了一份 7 个项目的 COM-B 问卷和开放式问题,以评估在家工作时坐的时间的影响因素。对数据进行了描述性分析,采用重复测量方差分析来确定 COM-B 项目的差异,并采用二元逻辑回归法来研究坐着时间的预测因素。员工在家工作时平均有 89.5%(SD = 17.1)的时间是坐着的,平均每小时有 1.36(1.38)次坐着休息的时间。COM因素对减少久坐行为的能力和意愿的影响存在明显且有意义的差异(p p 2 = .38),开放式回答进一步补充了相关情况。所包含的变量占久坐行为变异的 20.7%,其中年龄、久坐休息时间、自动动机和机会-身体因素对久坐行为的影响较大。在家工作会导致坐姿水平升高,COM-B 提供了一个有用的模型来确定减少坐姿的能力和意愿的关键影响因素。将定时休息、习惯养成/扭转和物理环境重组结合起来的策略可能会有所裨益。
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"Are We Working (Too) Comfortably?": Understanding the Nature of and Factors Associated with Sedentary Behaviour When Working in the Home Environment.

Home working has increased due to COVID-19, but little is known about how this change has impacted the health risk behaviour of elevated sedentary time. The aim of this cross-sectional exploratory study was to assess occupational sitting behaviour when working at home, and use the Capability Opportunity Motivation-Behaviour (COM-B) model to identify influences on this behaviour. University staff (n = 267; 69% female; 92% white) who were predominantly working from home completed a questionnaire to assess sitting time, sitting breaks, demographic and occupational characteristics, and a 7-item COM-B questionnaire and open-ended questions to assess influences on time spent sitting whilst working from home. Data were analysed descriptively, a repeated measures ANOVA was used to determine differences in the COM-B items, and binary logistic regression was used to examine predictors of sitting time. Staff spent on average 89.5% (SD = 17.1) of their time sitting whilst working at home, and took an average of 1.36 (1.38) sitting breaks per hour. There were significant and meaningful differences in the influence of the COM factors on ability and willingness to reduce sitting behaviour (p < .0001; ηp 2 = .38), and the open-ended responses added further context. The included variables accounted for 20.7% of variance in sitting behaviour, with age, sitting breaks, motivation-automatic, and opportunity-physical contributing significantly. Working from home leads to elevated levels of sitting, and the COM-B provides a useful model to identify key influences on ability and willingness to reduce sitting. Strategies incorporating regular breaks, habit formation/reversal, and restructuring the physical environment may be beneficial.

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