@Article{信息:doi 10.2196 / / jmir。2387,作者=“Niessen, Maurice AJ和Laan, Eva L和Robroek, Suzan JW和Essink-Bot, Marie-Louise和Peek, Niels和Kraaijenhagen, Roderik A和Van Kalken, Coen K和Burdorf, Alex”,标题=“参与基于web的健康风险评估的决定因素和健康促进计划的后果”,期刊=“J Med Internet Res”,年=“2013”,月=“8”,日=“09”,卷=“15”,数=“8”,页=“e151”,关键词=“参与;互联网;工作场所;健康促进;健康风险评估;背景:健康风险评估(HRA)是工作场所经常开展的一种健康促进项目。评估和实施这些干预措施需要深入了解参与的基本决定因素。目的:分析包括人口统计学、健康行为、自评健康状况和工作相关因素在内的个人特征是否与参与或不参与基于网络的人力资源评估相关。方法:参与和不参与的决定因素在五个荷兰组织的雇员中进行了横断面研究。 Multivariate logistic regression was performed to identify determinants of participation and nonparticipation in the HRA after controlling for organization and all other variables. Results: Of the 8431 employees who were invited, 31.9{\%} (2686/8431) enrolled in the HRA. The online questionnaire was completed by 27.2{\%} (1564/5745) of the nonparticipants. Determinants of participation were some periods of stress at home or work in the preceding year (OR 1.62, 95{\%} CI 1.08-2.42), a decreasing number of weekdays on which at least 30 minutes were spent on moderate to vigorous physical activity (ORdayPA0.84, 95{\%} CI 0.79-0.90), and increasing alcohol consumption. Determinants of nonparticipation were less-than-positive self-rated health (poor/very poor vs very good, OR 0.25, 95{\%} CI 0.08-0.81) and tobacco use (at least weekly vs none, OR 0.65, 95{\%} CI 0.46-0.90). Conclusions: This study showed that with regard to isolated health behaviors (insufficient physical activity, excess alcohol consumption, and stress), those who could benefit most from the HRA were more likely to participate. However, tobacco users and those who rated their overall health as less than positive were less likely to participate. A strong communication strategy, with recruitment messages that take reasons for nonparticipation into account, could prove to be an essential tool for organizations trying to reach employees who are less likely to participate. ", issn="14388871", doi="10.2196/jmir.2387", url="//www.mybigtv.com/2013/8/e151/", url="https://doi.org/10.2196/jmir.2387", url="http://www.ncbi.nlm.nih.gov/pubmed/23933650" }
Baidu
map