在线计算机定制体重管理干预超重成人的结果:随机对照试验%A van Genugten,Lenneke %A van Empelen,Pepijn %A Boon,Brigitte %A Borsboom,Gerard %A Visscher,Tommy %A Oenema,Anke %+大学医学中心公共卫生系，Erasmus MC，邮政信箱2040，荷兰鹿特丹，3000 CA, 31 107043721，l.vangenugten@erasmusmc.nl %K预防%K超重%K成人%K随机对照试验%K体育活动%K饮食摄入%K BMI %D 2012 %7 14.03.2012 %9背景:预防体重增加已被认为是预防肥胖的重要策略，超重人群是一个特别重要的目标群体。目前，缺乏能够惠及大量人群的预防体重增加的干预措施。因此，我们为超重的成年人开发了一种互联网传输、电脑定制的体重管理干预措施。干预的重点是进行小的(每天100千卡)，但持续改变饮食摄入(DI)或身体活动(PA)行为，以保持目前的体重或实现适度的体重减轻。自我调节理论作为干预的基础。目的:本研究旨在评估计算机定制干预在体重相关人体测量(体重指数、皮肤褶皱和腰围)和能量平衡相关行为(体力活动;摄入脂肪，零食和加糖饮料)，在随机对照试验中。方法:将定制干预(TI)与通用信息网站(GI)进行比较。 Participants were 539 overweight adults (mean age 47.8 years, mean Body Mass Index (BMI) 28.04, 30.9% male, 10.7% low educated) who where recruited among the general population and among employees from large companies by means of advertisements and flyers. Anthropometric measurements were measured by trained research assistants at baseline and 6-months post-intervention. DI and PA behaviors were assessed at baseline, 1-month and 6-month post-intervention, using self-reported questionnaires. Results: Repeated measurement analyses showed that BMI remained stable over time and that there were no statistically significant differences between the study groups (BMI: TI=28.09, GI=27.61, P=.09). Similar results were found for waist circumference and skin fold thickness. Amount of physical activity increased and intake of fat, snacks and sweetened drinks decreased during the course of the study, but there were no differences between the study groups (eg, fat intake: TI=15.4, GI=15.9, P=.74). The first module of the tailored intervention was visited by almost all participants, but only 15% completed all four modules of the tailored intervention, while 46% completed the three modules of the general information intervention. The tailored intervention was considered more personally relevant (TI=3.20, GI=2.83, P=.001), containing more new information (TI=3.11, GI=2.73, P=.003) and having longer texts (TI=3.20, GI=3.07, P=.01), while there were no group differences on other process measures such as attractiveness and comprehensibility of the information (eg, attractive design: TI=3.22, GI=3.16, P=.58). Conclusions: The online, computer-tailored weight management intervention resulted in changes in the desired direction, such as stabilization of weight and improvements in dietary intake, but the intervention was not more effective in preventing weight gain or modifying dietary and physical activity behaviors than generic information. A possible reason for the absence of intervention effects is sub-optimal use of the intervention and the self-regulation components. Further research is therefore needed to gain more insight into how the intervention and exposure to its contents can be improved. Trial Registration: NTR1862; http://apps.who.int/trialsearch/trial.aspx?trialid=NTR1862 %M 22417813 %R 10.2196/jmir.1901 %U //www.mybigtv.com/2012/2/e44/ %U https://doi.org/10.2196/jmir.1901 %U http://www.ncbi.nlm.nih.gov/pubmed/22417813