@Article{信息:doi 10.2196 / /移动医疗。4603,作者=“Sze, Yan Yan and Daniel, Tinuke Oluyomi and Kilanowski, Colleen K and Collins, R Lorraine and Epstein, Leonard H”,标题=“基于网络和移动的对超重和肥胖家庭的偶发性未来思维干预:一项可行性研究”,期刊=“JMIR mHealth uHealth”,年=“2015”,月=“12月”,日=“16”,卷=“3”,数=“4”,页=“e97”,关键词=“肥胖;生态瞬时干预;情景式未来思维;基于web的;背景:对即时满足的偏见与适应不良的饮食行为有关,并与肥胖有横向和前瞻性的关系。参与情景式未来思考,包括对未来事件的心理自我投射,可以减少超重/肥胖成人和儿童的这种偏见和能量摄入。为了研究情景式未来思维如何融入临床干预,研究人员创建了一个基于网络的系统,为成人和儿童的日常生活提供培训。目的:我们的研究检查了基于web的系统的技术可行性、可用性和可接受性,该系统可通过移动设备访问,并适应情景未来思维,用于基于家庭的肥胖干预。方法:我们从周边社区招募了20对亲子组(N=40),并随机分为情景未来思维组和营养信息思维组,以测试为期4周的网络干预的可行性。 Parents were 44.1 (SD 7.8) years of age with BMI of 34.2 (SD 6.8) kg/m2. Children were 11.0 (SD 1.3) years of age with BMI percentile of 96.0 (SD 1.8). Families met weekly with a case manager for 4 weeks and used the system daily. Adherence was collected through the Web-based system, and perceived acceptance of the Web-based system was assessed postintervention. Measurements of body composition and dietary intake were collected at baseline and after the 4 weeks of intervention. Results: All 20 families completed the intervention and attended all sessions. Results showed parents and children had high adherence to the Web-based system and perceived it to be easy to use, useful, and helpful. No differences between conditions were found in adherence for parents (P=.65) or children (P=.27). In addition, results suggest that basic nutrition information along with episodic future thinking delivered through our Web-based system may reduce energy intake and weight. Conclusions: We showed that our Web-based system is an accepted technology and a feasible utility. Furthermore, results provide initial evidence that our system can be incorporated into family-based treatments targeting behaviors related to weight control. These results show promising utility in using our Web-based system in interventions. ", issn="2291-5222", doi="10.2196/mhealth.4603", url="http://mhealth.www.mybigtv.com/2015/4/e97/", url="https://doi.org/10.2196/mhealth.4603", url="http://www.ncbi.nlm.nih.gov/pubmed/26678959" }
Baidu
map