TY - JOUR AU - Enwald, Heidi Päivyt Karoliina AU - Huotari, Maija-Leena Aulikki PY - 2010 DA - 2010/06/28 TI -通过第二代定制健康传播预防肥胖流行:跨学科回顾-健康交流-健康促进-干预研究-量身定制的干预-裁剪-基于计算机的交付-互联网-健康行为改变-肥胖-公共卫生AB -背景:预防肥胖和与肥胖相关的健康问题是全球的主要挑战。在个人层面使用电子保健通信和定制通过互联网提供的信息可能会提高干预措施的有效性。掌握与营养、体育活动和体重管理相关的行为是预防肥胖的主要问题，在这一领域对跨学科知识的需求是显而易见的。目的:目的是回顾有关量身定制的健康沟通的文献，并对旨在改变营养、身体活动或体重管理方面的行为的“第二代”量身定制干预措施的研究进行跨学科分析。方法:对健康传播方面的主要电子信息来源进行文献检索。确定了选择标准，并选择了23项干预研究。内容分析集中在以下方面:研究设计、行为改变的目标、目标群体、样本量、研究长度、流失率、应用的理论、干预设计、使用的基于计算机的渠道、从裁剪角度来看的统计显著性结果以及研究的可能偏差。然而，这不是一个结构化的元分析，因此不能复制。结果:在23项研究中，21项是随机对照试验，所有研究都集中在行为改变上:10项研究集中在营养方面的行为改变，7项研究集中在体育活动方面，2项研究集中在营养和体育活动方面，4项研究集中在体重管理方面。 The target groups and the number of participants varied: 8 studies included more than 500 participants, and 6 studies included less than 100. Most studies were short; the duration of 20 studies was 6 months or less. The Transtheoretical Model was applied in 14 of the 23 studies, and feedback as a tailoring mechanism was used in addition to an Internet site (or program) in 15 studies and in addition to email in 11 studies. Self-reporting was used in 15 studies, and 14 studies did not have a no-information control group. Tailoring was more effective in nutrition interventions than in physical activity and weight management interventions. The outcomes were mixed or negative in 4 studies of physical activity interventions and in 3 studies of weight management. The use of a no-information control group seemed to have been linked to statistically significant between-group effects in measuring physical activity. This bias effect related to intervention design may explain the differences in the outcomes of the physical activity studies. Conclusions: Tailoring was shown to have been an effective method in nutrition interventions, but the results for physical activity were mixed, which is in line with previous studies. Nevertheless, the effect of possible biases, such as relying solely on self-reports and on intervention design without a no-information control group, should not be underestimated. Thus, the issue of bias merits more attention in planning interventions and in future meta-analyses. SN - 1438-8871 UR - //www.mybigtv.com/2010/2/e24/ UR - https://doi.org/10.2196/jmir.1409 UR - http://www.ncbi.nlm.nih.gov/pubmed/20584698 DO - 10.2196/jmir.1409 ID - info:doi/10.2196/jmir.1409 ER -