From the Departments of Biomedical Engineering and Computational Science (Dr Vehtari) and Industrial Engineering and Management (Ms Reijonsaari and Mr Kahilakoski), Aalto University, Espoo, Finland; Institute of Clinical Medicine, Department of Physical and Rehabilitation Medicine, University of Oulu (Dr Paananen), Oulu, Finland; Department of Public and Occupational Health and EMGO+ Institute (Dr van Mechelen), VU University Medical Center, Amsterdam, the Netherlands; and Evalua International (Dr Taimela), Espoo, Finland.
J Occup Environ Med. 2014 Mar;56(3):291-7. doi: 10.1097/JOM.0000000000000000.
To evaluate factors that characterize employees who did not participate in a physical activity intervention in an occupational setting and assess how selective participation affects inferences from the data.
Employees were asked to complete a health risk appraisal. The respondents were invited to participate in a physical activity intervention. We compared predictors of sickness absence (register data) among all respondents and those who participated in the intervention, using Bayesian regression analysis.
Of 1116 employees, 817 (73%) responded, of whom 544 (67%) participated in the intervention. Participants had better health behaviors and fewer health problems than those who did not participate. The predictors of sickness absence in all respondents differed from those who participated in the intervention.
Selective participation may reduce the potential benefit of interventions and limit generalizability of findings.
评估在职业环境中未参与身体活动干预的员工的特征因素,并评估选择性参与如何影响对数据的推断。
要求员工完成健康风险评估。邀请受访者参加身体活动干预。我们使用贝叶斯回归分析比较了所有受访者和参与干预的受访者的病假(登记数据)预测因素。
在 1116 名员工中,有 817 名(73%)做出了回应,其中 544 名(67%)参与了干预。参与者的健康行为更好,健康问题也少于未参与者。所有受访者的病假预测因素与参与干预的受访者不同。
选择性参与可能会降低干预的潜在益处,并限制研究结果的普遍性。