Verheijden Marieke W, Jans Marielle P, Hildebrandt Vincent H, Hopman-Rock Marijke
TNO Quality of Life, CE Leiden, The Netherlands.
J Med Internet Res. 2007 Jan 22;9(1):e1. doi: 10.2196/jmir.9.1.e1.
In recent years, many tailored lifestyle counseling programs have become available through the Internet. Previous research into such programs has shown selective enrollment of relatively healthy people. However, because of the known dose-response relationship between the intensity and frequency of counseling and the behavior change outcomes, selective retention may also be a concern.
The aim of this study was to identify rates and determinants of repeat participation in a Web-based health behavior change program.
A Web-based health behavior change program aimed to increase people's awareness of their own lifestyle, to promote physical activity, and to prevent overweight and obesity was available on the Internet from July 2004 onward at no cost. Univariate and multivariate logistic regression analyses were conducted to identify characteristics of people who participated in the program more than once. Age, compliance with physical activity guidelines, body mass index, smoking status, and the consumption of fruit, vegetables, and alcohol were included in the analyses.
A total of 9774 people participated in the baseline test, of which 940 used the site more than once (9.6%). After exclusion of individuals with incomplete data, 6272 persons were included in the analyses. Of these 6272 people, 5560 completed only the baseline test and 712 also participated in follow-up. Logistic regression predicting repeated use determined that older individuals were more likely to participate in follow-up than people aged 15-20 years. The odds ratios for the age categories 41-50, 51-60, and > 60 years were 1.40 (95% CI = 1.02-1.91), 1.43 (95% CI = 1.02-2.01), and 1.68 (95% CI = 1.03-2.72), respectively. Individuals who never smoked were more likely to participate repeatedly than current smokers and ex-smokers (OR = 1.44, 95% CI = 1.14-1.82 and OR = 1.49, 95% CI = 1.17-1.89, respectively). People meeting the guidelines for physical activity of moderate intensity (OR = 1.23 95% CI = 1.04-1.46) and for vegetable consumption (OR = 1.26 95% CI = 1.01-1.57) were also more likely to participate repeatedly than people who did not, as were obese people compared to individuals with normal weight (OR = 1.41 95% CI = 1.09-1.82).
For some variables, this study confirms our concern that behavioral intervention programs may reach those who need them the least. However, contrary to most expectations, we found that obese people were more likely to participate in follow-up than people of normal body weight. The non-stigmatizing way of addressing body weight through the Internet may be part of the explanation for this. Our findings suggest that Web-based health behavior change programs may be more successful in the area of weight management than in many other health-related areas. They also stress the importance of adequate coverage of weight management in Web-based health promotion programs, as a driver to continue participation for overweight and obese people.
近年来,许多量身定制的生活方式咨询项目可通过互联网获取。此前对这类项目的研究表明,相对健康的人会选择性地参与。然而,鉴于咨询的强度和频率与行为改变结果之间已知的剂量反应关系,选择性留存也可能是一个问题。
本研究的目的是确定基于网络的健康行为改变项目中重复参与的比例及其决定因素。
一个旨在提高人们对自身生活方式的认识、促进身体活动以及预防超重和肥胖的基于网络的健康行为改变项目,从2004年7月起在互联网上免费提供。进行单变量和多变量逻辑回归分析,以确定多次参与该项目的人群特征。分析中纳入了年龄、对身体活动指南的依从性、体重指数、吸烟状况以及水果、蔬菜和酒精的摄入量。
共有9774人参加了基线测试,其中940人不止一次使用该网站(9.6%)。在排除数据不完整的个体后,6272人被纳入分析。在这6272人中,5560人仅完成了基线测试,712人还参与了随访。预测重复使用的逻辑回归分析确定,年龄较大的个体比15 - 20岁的人更有可能参与随访。41 - 50岁、51 - 60岁和60岁以上年龄组的优势比分别为1.40(95%置信区间 = 1.02 - 1.91)、1.43(95%置信区间 = 1.02 - 2.01)和1.68(95%置信区间 = 1.03 - 2.72)。从不吸烟的个体比当前吸烟者和曾经吸烟者更有可能重复参与(优势比分别为1.44,95%置信区间 = 1.14 - 1.82和1.49,95%置信区间 = 1.17 - 1.89)。符合中等强度身体活动指南(优势比 = 1.23,95%置信区间 = 1.04 - 1.46)和蔬菜摄入量指南(优势比 = 1.26,95%置信区间 = 1.01 - 1.57)的人,以及肥胖者相比正常体重者(优势比 = 1.41,95%置信区间 = 1.09 - 1.82),也更有可能重复参与。
对于某些变量,本研究证实了我们的担忧,即行为干预项目可能惠及那些最不需要它们的人。然而,与大多数预期相反,我们发现肥胖者比正常体重者更有可能参与随访。通过互联网以非污名化方式处理体重问题可能是对此的部分解释。我们的研究结果表明,基于网络的健康行为改变项目在体重管理领域可能比在许多其他与健康相关的领域更成功。它们还强调了在基于网络的健康促进项目中充分涵盖体重管理的重要性,这可作为超重和肥胖者持续参与的动力。