Ambeba Erica J, Ye Lei, Sereika Susan M, Styn Mindi A, Acharya Sushama D, Sevick Mary Ann, Ewing Linda J, Conroy Molly B, Glanz Karen, Zheng Yaguang, Goode Rachel W, Mattos Meghan, Burke Lora E
Erica J. Ambeba, PhD School of Nursing and Graduate School of Public Health, Departments of Health and Community Systems and Epidemiology, University of Pittsburgh, Pennsylvania. Lei Ye, BMed Doctoral Student, School of Nursing and Graduate School of Public Health, Departments of Health and Community Systems and Biostatistics, University of Pittsburgh, Pennsylvania. Susan M. Sereika, PhD Professor, School of Nursing and Graduate School of Public Health, Departments of Health and Community Systems and Biostatistics, University of Pittsburgh, Pennsylvania. Mindi A. Styn, PhD Research Assistant Professor, School of Nursing and Graduate School of Public Health, Departments of Health and Community Systems and Epidemiology, University of Pittsburgh, Pennsylvania. Sushama D. Acharya, PhD Research Fellow, Community Guide Branch, Office of Surveillance, Epidemiology and Laboratory Services, Epidemiology and Analysis Program Office, Centers for Disease Control and Prevention, Atlanta, Georgia. Mary Ann Sevick, ScD Associate Professor, Veteran Affairs Pittsburgh Healthcare System, and School of Medicine, Department of Medicine, Center for Research on Healthcare, University of Pittsburgh, Pennsylvania. Linda J. Ewing, PhD Assistant Professor, School of Medicine, Department of Psychiatry, University of Pittsburgh, Pennsylvania. Molly B. Conroy, MD, MPH Assistant Professor, School of Medicine and Graduate School of Public Health, Departments of Medicine and Epidemiology, University of Pittsburgh, Pennsylvania. Karen Glanz, PhD, MPH Professor, Schools of Nursing and Medicine, University of Pennsylvania, Philadelphia. Yaguang Zheng, MSN Graduate Student Researcher, Department of Health and Community Systems, School of Nursing, University of Pittsburgh, Pennsylvania. Rachel W. Goode, MSW Graduate Student Researcher, School of Social Work and Graduate School of Public Health, University of Pittsburgh, Pennsylvania. Meghan Mattos, MSN Graduate Student Researcher, School of Nursing, De
J Cardiovasc Nurs. 2015 Jan-Feb;30(1):35-43. doi: 10.1097/JCN.0000000000000120.
Evidence supports the role of feedback in reinforcing motivation for behavior change. Feedback that provides reinforcement has the potential to increase dietary self-monitoring and enhance attainment of recommended dietary intake.
The aim of this study was to examine the impact of daily feedback (DFB) messages, delivered remotely, on changes in dietary intake.
This was a secondary analysis of the Self- Monitoring And Recording using Technology (SMART) Trial, a single-center, 24-month randomized clinical trial of behavioral treatment for weight loss. Participants included 210 obese adults (mean body mass index, 34.0 kg/m²) who were randomized to either a paper diary (PD), personal digital assistant (PDA), or PDA plus daily tailored feedback messages (PDA + FB). To determine the role of daily tailored feedback in dietary intake, we compared the self-monitoring with DFB group (DFB group; n = 70) with the self-monitoring without DFB group (no-DFB group, n = 140). All participants received a standard behavioral intervention for weight loss. Self-reported changes in dietary intake were compared between the DFB and no-DFB groups and were measured at baseline and at 6, 12, 18, and 24 months. Linear mixed modeling was used to examine percentage changes in dietary intake from baseline.
Compared with the no-DFB group, the DFB group achieved a larger reduction in energy (-22.8% vs -14.0%; P = .02) and saturated fat (-11.3% vs -0.5%; P = .03) intake and a trend toward a greater decrease in total fat intake (-10.4% vs -4.7%; P = .09). There were significant improvements over time in carbohydrate intake and total fat intake for both groups (P values < .05).
Daily tailored feedback messages designed to target energy and fat intake and delivered remotely in real time using mobile devices may play an important role in the reduction of energy and fat intake.
有证据支持反馈在强化行为改变动机方面的作用。提供强化作用的反馈有可能增加饮食自我监测，并提高达到推荐饮食摄入量的程度。
本研究的目的是检验远程发送的每日反馈（DFB）信息对饮食摄入量变化的影响。
这是对使用技术进行自我监测与记录（SMART）试验的二次分析，该试验是一项单中心、为期24个月的减肥行为治疗随机临床试验。参与者包括210名肥胖成年人（平均体重指数为34.0kg/m²），他们被随机分为纸质日记组（PD）、个人数字助理组（PDA）或PDA加每日定制反馈信息组（PDA+FB）。为了确定每日定制反馈在饮食摄入量中的作用，我们将有DFB的自我监测组（DFB组；n=70）与无DFB的自我监测组（无DFB组，n=140）进行了比较。所有参与者都接受了标准的减肥行为干预。比较了DFB组和无DFB组自我报告的饮食摄入量变化，并在基线以及6、12、18和24个月时进行测量。使用线性混合模型来检验饮食摄入量相对于基线的百分比变化。
与无DFB组相比，DFB组在能量摄入（-22.8%对-14.0%；P=0.02）和饱和脂肪摄入（-11.3%对-0.5%；P=0.03）方面的减少幅度更大，并且在总脂肪摄入减少方面有更大降幅的趋势（-10.4%对-4.7%；P=0.09）。两组的碳水化合物摄入量和总脂肪摄入量随时间均有显著改善（P值<0.05）。
旨在针对能量和脂肪摄入、并使用移动设备实时远程发送的每日定制反馈信息，可能在减少能量和脂肪摄入方面发挥重要作用。
