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Effects of a Web-Based Tailored Multiple-Lifestyle Intervention for Adults: A Two-Year Randomized Controlled Trial Comparing Sequential and Simultaneous Delivery Modes

机译:基于网络的量身定制的多生活方式干预对成年人的影响:比较连续和同时分娩方式的两年随机对照试验。

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Background: Web-based computer-tailored interventions for multiple health behaviors can have a significant public health impact. Yet, few randomized controlled trials have tested this assumption.Objective: The objective of this paper was to test the effects of a sequential and simultaneous Web-based tailored intervention on multiple lifestyle behaviors.Methods: A randomized controlled trial was conducted with 3 tailoring conditions (ie, sequential, simultaneous, and control conditions) in the Netherlands in 2009-2012. Follow-up measurements took place after 12 and 24 months. The intervention content was based on the I-Change model. In a health risk appraisal, all respondents (N=5055) received feedback on their lifestyle behaviors that indicated whether they complied with the Dutch guidelines for physical activity, vegetable consumption, fruit consumption, alcohol intake, and smoking. Participants in the sequential (n=1736) and simultaneous (n=1638) conditions received tailored motivational feedback to change unhealthy behaviors one at a time (sequential) or all at the same time (simultaneous). Mixed model analyses were performed as primary analyses; regression analyses were done as sensitivity analyses. An overall risk score was used as outcome measure, then effects on the 5 individual lifestyle behaviors were assessed and a process evaluation was performed regarding exposure to and appreciation of the intervention.Results: Both tailoring strategies were associated with small self-reported behavioral changes. The sequential condition had the most significant effects compared to the control condition after 12 months (T1, effect size=0.28). After 24 months (T2), the simultaneous condition was most effective (effect size=0.18). All 5 individual lifestyle behaviors changed over time, but few effects differed significantly between the conditions. At both follow-ups, the sequential condition had significant changes in smoking abstinence compared to the simultaneous condition (T1 effect size=0.31; T2 effect size=0.41). The sequential condition was more effective in decreasing alcohol consumption than the control condition at 24 months (effect size=0.27). Change was predicted by the amount of exposure to the intervention (total visiting time: beta=–.06; P=.01; total number of visits: beta=–.11; P<.001). Both interventions were appreciated well by respondents without significant differences between conditions.Conclusions: Although evidence was found for the effectiveness of both programs, no simple conclusive finding could be drawn about which intervention mode was more effective. The best kind of intervention may depend on the behavior that is targeted or on personal preferences and motivation. Further research is needed to identify moderators of intervention effectiveness. The results need to be interpreted in view of the high and selective dropout rates, multiple comparisons, and modest effect sizes. However, a large number of people were reached at low cost and behavioral change was achieved after 2 years.Trial Registration: Nederlands Trial Register: NTR 2168; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2168 (Archived by WebCite at http://www.webcitation.org/6MbUqttYB).
机译:背景:针对多种健康行为的基于Web的计算机量身定制的干预措施可能会对公共卫生产生重大影响。然而,很少有随机对照试验对此假设进行了检验。目的:本文的目的是测试基于序贯和同时进行的基于Web的量身定制干预对多种生活方式行为的影响。方法:采用3种量身定制的条件进行了一项随机对照试验(即顺序,同时和控制条件)在2009-2012年在荷兰发生的情况。在12和24个月后进行了后续测量。干预内容基于I-Change模型。在健康风险评估中,所有受访者(N = 5055)都收到了有关其生活方式的反馈,表明他们是否遵守荷兰的体育锻炼,蔬菜食用,水果食用,酒精摄入和吸烟指南。顺序(n = 1736)和同时(n = 1638)条件下的参与者都收到了量身定制的动机反馈,以一次(连续)或一次(同时)改变不健康的行为。混合模型分析作为主要分析;进行回归分析作为敏感性分析。总体风险评分用作结果度量,然后评估对5种个人生活方式行为的影响,并就暴露于干预措施和欣赏干预措施进行过程评估。结果:两种调整策略均与自我报告的行为改变较小有关。 12个月后,与对照组相比,序贯病情具有最显着的效果(T1,效应量= 0.28)。 24个月(T2)后,同时发生的病情最有效(效应量= 0.18)。所有5种生活方式的行为都随时间而改变,但几乎没有什么影响在两种情况之间有显着差异。在两次随访中,相继条件与同时条件相比戒烟情况都有显着变化(T1效应值= 0.31; T2效应值= 0.41)。在24个月时,序贯条件在减少酒精消耗方面比对照条件更有效(效应量= 0.27)。通过干预措施的暴露量可以预测变化(总访问时间:β=-。06; P = .01;总访问次数:β=-。11; P <.001)。受访者对这两种干预措施都表示赞赏,但条件之间没有显着差异。结论:尽管找到了两种方案有效性的证据,但无法得出关于哪种干预方式更有效的简单结论性结论。最好的干预方式可能取决于目标行为或个人喜好和动机。需要进一步的研究来确定干预效果的调节者。需要根据高且选择性的辍学率,多次比较和适度的效应大小来解释结果。但是,在低成本的情况下达到了一大批人,并且在2年后实现了行为改变。试验注册:Nederlands试验注册:NTR 2168; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2168(由WebCite存档,网址为http://www.webcitation.org/6MbUqttYB)。

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