Soureti Anastasia, Murray Peter, Cobain Mark, van Mechelen Willem, Hurling Robert
Unilever Discover, Colworth Science Park, Bedfordshire, United Kingdom. Department of Public and Occupational Health and EMGO Institute for Health & Care Research, VU University Medical Centre, Amsterdam, Netherlands.
J Med Internet Res. 2011 Nov 24;13(4):e100. doi: 10.2196/jmir.1579.
A healthy diet, low in saturated fat and high in fiber, is a popular medical recommendation in preventing cardiovascular disease (CVD). One approach to motivating healthier eating is to raise individuals' awareness of their CVD risk and then help them form specific plans to change.
The aim was to explore the combined impact of a Web-based CVD risk message and a fully automated planning tool on risk perceptions, intentions, and saturated fat intake changes over 4 weeks.
Of the 1187 men and women recruited online, 781 were randomly allocated to one of four conditions: a CVD risk message, the same CVD risk message paired with planning, planning on its own, and a control group. All outcome measures were assessed by online self-reports. Generalized linear modeling was used to analyze the data.
Self-perceived consumption of low saturated fat foods (odds ratio 11.40, 95% CI 1.86-69.68) and intentions to change diet (odds ratio 21.20, 95% CI 2.6-172.4) increased more in participants allocated to the planning than the control group. No difference was observed between the four conditions with regard to percentage saturated fat intake changes. Contrary to our expectations, there was no difference in perceived and percentage saturated fat intake change between the CVD risk message plus planning group and the control group. Risk perceptions among those receiving the CVD risk message changed to be more in line with their age (change in slope(individual) = 0.075, P = .01; change in slope(comparative) = 0.100, P = .001), whereas there was no change among those who did not receive the CVD risk message.
There was no evidence that combining a CVD risk message with a planning tool reduces saturated fat intake more than either alone. Further research is required to identify ways in which matching motivational and volitional strategies can lead to greater behavior changes.
健康饮食,即饱和脂肪含量低且纤维含量高,是预防心血管疾病(CVD)的一项普遍医学建议。激励更健康饮食的一种方法是提高个人对其心血管疾病风险的认识,然后帮助他们制定具体的改变计划。
旨在探讨基于网络的心血管疾病风险信息和全自动规划工具对4周内风险认知、意图以及饱和脂肪摄入量变化的综合影响。
在1187名通过网络招募的男性和女性中,781人被随机分配到以下四种情况之一:心血管疾病风险信息组、相同的心血管疾病风险信息与规划配对组、仅规划组和对照组。所有结果指标均通过在线自我报告进行评估。采用广义线性模型分析数据。
与对照组相比,分配到规划组的参与者中,自我感知的低饱和脂肪食物摄入量(优势比11.40,95%置信区间1.86 - 69.68)和改变饮食的意图(优势比21.20,95%置信区间2.6 - 172.4)增加得更多。在饱和脂肪摄入量变化百分比方面,四种情况之间未观察到差异。与我们的预期相反,心血管疾病风险信息加规划组与对照组在感知到的饱和脂肪摄入量变化和饱和脂肪摄入量变化百分比方面没有差异。接受心血管疾病风险信息的人群的风险认知变得更符合其年龄(个体斜率变化 = 0.075,P = 0.01;比较斜率变化 = 0.100,P = 0.001),而未接受心血管疾病风险信息的人群则没有变化。
没有证据表明将心血管疾病风险信息与规划工具相结合比单独使用其中任何一种更能降低饱和脂肪摄入量。需要进一步研究以确定如何将动机和意志策略相匹配从而带来更大的行为改变。