De Cocker Katrien, Duncan Mitch J, Short Camille, van Uffelen Jannique G Z, Vandelanotte Corneel
Ghent University, Department of Movement and Sports Sciences, Ghent, Belgium; Research Foundation Flanders, Brussels, Belgium.
The University of Newcastle, School of Medicine and Public Health, Callaghan, Australia.
Prev Med. 2014 Oct;67:288-94. doi: 10.1016/j.ypmed.2014.07.031. Epub 2014 Aug 10.
To (1) compare occupational sitting between different socio-demographic, health-related, work-related and psychosocial categories, (2) identity socio-demographic, health-related, work-related and psychosocial correlates of occupational sitting, and (3) examine the moderating effect of work-related factors in the relation between correlates and occupational sitting.
Randomly-selected Australian adults completed a web-based survey assessing socio-demographic (country of birth, gender, age, education, income), health-related (general health, weight, physical activity), work-related (employment status, occupational task, occupational classification) and sedentary-specific psychosocial (social norm, social support, self-efficacy, control, advantages, disadvantage, intention) factors, and occupational sitting-time. t-tests, ANOVAs and multiple linear regression analyses were conducted (in 2013) on a sample of employees (n=993).
Respondents sat on average for 3.75 (SD=2.45) h/day during work. Investigated correlates explained 41% of the variance in occupational sitting. More occupational sitting was associated with being male, being younger, higher education and income, part-time and full-time employment, sedentary job tasks, white-collar/professional occupations, higher BMI, and perceiving more advantages of sitting less at work. Employment status and occupational classification moderated the association between control to sit less and occupational sitting. A lack of control to sit less was associated with higher occupational sitting in part-time and full-time workers, but not in casual workers; and in white-collar and professional workers, but not in blue-collar workers.
Most important contributors to occupational sitting were work-related and socio-demographic correlates. More research is needed to confirm present results.
(1)比较不同社会人口统计学、健康相关、工作相关和心理社会类别之间的职业坐姿情况;(2)确定职业坐姿的社会人口统计学、健康相关、工作相关和心理社会相关因素;(3)检验工作相关因素在相关因素与职业坐姿关系中的调节作用。
随机选取的澳大利亚成年人完成了一项基于网络的调查,评估社会人口统计学因素(出生国家、性别、年龄、教育程度、收入)、健康相关因素(总体健康状况、体重、身体活动)、工作相关因素(就业状况、职业任务、职业分类)以及久坐特定的心理社会因素(社会规范、社会支持、自我效能感、控制感、优势、劣势、意图),并记录职业坐姿时间。(于2013年)对993名员工样本进行了t检验、方差分析和多元线性回归分析。
受访者在工作期间平均每天坐姿时长为3.75(标准差 = 2.45)小时。所调查的相关因素解释了职业坐姿差异的41%。更多的职业坐姿与男性、年轻、较高的教育程度和收入、兼职和全职工作、久坐的工作任务、白领/专业职业、较高的体重指数以及认为减少工作时坐姿有更多优势相关。就业状况和职业分类调节了减少坐姿的控制感与职业坐姿之间的关联。减少坐姿的控制感不足与兼职和全职员工的较高职业坐姿相关,但与临时工无关;与白领和专业员工相关,但与蓝领员工无关。
职业坐姿的最重要影响因素是工作相关和社会人口统计学相关因素。需要更多研究来证实目前的结果。