%0杂志文章%@ 1438- 8871%我Gunther Eysenbach %V 10% N 4% P e43% T发展的活着!(通过电子邮件的生活方式干预)，及其对健康相关的生活质量、出勤和其他行为结果的影响:随机对照试验%A Block,Gladys %A Sternfeld,Barbara %A Block,Clifford H %A Block,Torin J %A Norris,Jean %A Hopkins,Donald %A Quesenberry,Charles P %A Husson,Gail %A Clancy,Heather Anne %+ NutritionQuest, 15 Shattuck Square, Suite 288, Berkeley, CA 94704, USA， +1 510 704 8514，gblock@berkeley.edu %K体育活动%K饮食%K随机对照试验%K循证医学%K干预研究%K职业健康%K社区卫生服务%K雇主健康费用%K健康促进%K预防健康服务%D 2008 %7 2008年19.11.9原始论文%J J医学互联网Res %G英语%X背景:改善饮食和体育活动的成本效益干预措施是公共卫生的优先事项。活着!是一种基于电子邮件的干预，以增加体育活动，减少饱和脂肪和反式脂肪和添加糖，并增加水果和蔬菜的消费。在一项大型随机对照试验中，它被证明可以改善这些行为。目的:(1)描述Alive的组成部分和行为原则!(2)报告干预对次要结局的影响:与健康相关的生活质量、出勤率、自我效能感和变化阶段。方法:The Alive! behavior change model is designed to elicit healthy behaviors and promote their maintenance. Behavioral strategies include assessments followed by individualized feedback, weekly goal-setting, individually tailored goals and tips, reminders, and promotion of social support. Alive! was tested among non-medical employees of Kaiser Permanente of Northern California, who were randomized to either the intervention group or the wait-list control group. After randomization, intervention group participants chose one topic to undertake for the intervention period: increasing physical activity, increasing fruits and vegetables, or decreasing saturated and trans fats and added sugars. Pre-post questionnaires assessed changes in SF-8 health-related quality of life, presenteeism, self-efficacy, and stage of change. Mixed effects multiple linear regression and ordinal logistic regression models were used, with department as a random effect factor. Analyses were by intention to treat: the 30% (238/787) who did not respond to the follow-up questionnaires were assigned change scores of zero. Results: Participants were 19 to 65 years (mean 44.0 +/- 10.6), and 74.3% (585/787) were female. Mean SF-8 Physical quality of life score increased significantly more in the intervention group than in the control group, 1.84 (95% CI 0.96-2.72) vs 0.72 (95% CI -0.15-1.58) respectively, P = .02. SF8 Mental score also improved significantly more in the intervention group than in the control group (P = .02). The odds ratio for improvement in self-assessed health status was 1.57 (95% CI 1.21-2.04, P < .001) for the intervention group compared to the control group. The odds ratio for having a reduction in difficulty accomplishing work tasks because of physical or emotional problems, a measure of presenteeism, was 1.47 (95% CI 1.05-2.05, P = .02) for the intervention group compared to the control group. The odds of having an improvement in self-efficacy for changing diet was 2.05 (95% CI 1.44-2.93) for the intervention vs the control group (P < .001). Greater improvement in stage of change for physical activity (P = .05), fats (P = .06), and fruits/vegetables (P = .006) was seen in the intervention group compared to the control group. Significant effects on diet and physical activity behavior change are reported elsewhere. Conclusions: Cost-effective methods that can reach large populations with science-based interventions are urgently needed. Alive! is a fully automated low-cost intervention shown to effect significant improvements in important health parameters. Trial Registration: Clinicaltrials.gov NCT00607009; http://clinicaltrials.gov/ct2/show/NCT00607009 (Archived by WebCite at http://www.webcitation.org/5cLpCWcT6) %M 19019818 %R 10.2196/jmir.1112 %U //www.mybigtv.com/2008/4/e43/ %U https://doi.org/10.2196/jmir.1112 %U http://www.ncbi.nlm.nih.gov/pubmed/19019818