Psychosocial work conditions, unemployment, and leisure-time physical activity:: A population-based study

Psychosocial work conditions, unemployment, and leisure-time physical activity:: A population-based study
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DOI:
10.1080/14034940500307515
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发表时间:
2006-04-01
影响因子:
3.4
通讯作者:
Lindström, M
Lindström, M
中科院分区:
医学3区
文献类型:
--
作者:
Ali, SM;Lindström, M

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目的:调查心理社会工作条件与失业和休闲时间体力活动量低之间的关联。设计/设置/参与者/测量:斯堪尼亚 2000 年公共卫生调查是一项横断面邮寄问卷调查,参与率为 59%。本次研究共纳入了 5,180 名 18-64 岁的劳动力和失业人员。使用逻辑回归模型来研究工作中的心理社会因素和失业以及休闲时间身体活动量低之间的关联。工作中的心理社会条件根据 Karasek-Theorell 需求控制/决策纬度定义为放松、主动、被动和工作紧张类别。多变量分析包括年龄、出生国、教育程度、经济压力和社会参与。结果:总体而言,16.1% 的男性和 14.8% 的女性休闲时间体力活动量较低。与放松(低要求/高控制)参考类别相比,工作紧张(高要求/低控制)和失业类别的男性和女性休闲时间体力活动量低的比值比显着更高。然而,工作紧张、失业和宽松类别之间的显着差异在多元模型中消失了。结论:工作紧张或失业的受访者休闲时间体力活动量较低的比例明显高于放松类别的受访者。然而,特别是在教育调整之后,这种差异就消失了。然而,结果表明,心理社会工作条件(通常取决于教育)与休闲时间身体活动之间的关联可能值得更详细地研究。
Objective: To investigate the association between psychosocial work conditions and unemployment, and low leisure-time physical activity. Design/setting/participants/measurements: The 2000 public health survey in Scania is a cross-sectional postal questionnaire study with a 59% participation rate. A total of 5,180 persons aged 18-64 years who belonged to the workforce and the unemployed were included in this study. Logistic regression models were used to investigate the associations between psychosocial factors at work and unemployment, and low leisure-time physical activity. Psychosocial conditions at work were defined according to the Karasek-Theorell demand-control/decision latitudes into relaxed, active, passive, and job strain categories. The multivariate analyses included age, country of birth, education, economic stress, and social participation. Results: In total, 16.1% of men and 14.8% of women had low leisure-time physical activity. The job strain (high demands/low control) and unemployed categories had significantly higher odds ratios of low leisure-time physical activity among both men and women compared with the relaxed (low demands/high control) reference category. However, the significant differences between the job strain, the unemployed, and the relaxed categories disappeared in the multivariate models. Conclusions: Respondents with job strain or unemployment have significantly higher odds ratios of low leisure-time physical activity than the relaxed category. However, after adjustments for education in particular the differences disappear. Nevertheless, the results suggest that the association between psychosocial work conditions, which are often dependent on education, and leisure-time physical activity may be interesting to study in more detail.