Gans Kim M, Risica Patricia Markham, Dulin-Keita Akilah, Mello Jennifer, Dawood Mahin, Strolla Leslie O, Harel Ofer
Institute for Community Health Promotion, Brown University School of Public Health, Providence, Rhode Island, 02912, USA.
Department of Human Development and Family Studies and the Center for Health Interventions and Prevention, University of Connecticut, 348 Mansfield Road, Unit 1058, Room 330, Storrs, Connecticut, 06269, USA.
Int J Behav Nutr Phys Act. 2015 Oct 7;12:130. doi: 10.1186/s12966-015-0282-5.
Effective, low-cost approaches are needed to enhance dietary behavior change. While both video and tailoring technology have been effective interventions to improve diet, these approaches have never been combined to study the effectiveness of tailored videos. The purpose of this paper is to discuss the results of Good For You!, a randomized trial that tested the efficacy of innovative, individually tailored videos in helping worksite employees decrease dietary fat and increase fruit and vegetable (F&V) intake.
Worksites were matched on approximate size, type of company and workforce composition and randomized to one of three experimental conditions: Non-Tailored written information (NT) (n = 14), Tailored Written information (TW) (n = 14), or Tailored Written + Tailored Video (TW + TV) (n = 15). Evaluation was conducted at baseline, 4 and 7 months. We used the NCI Fat Screener and an adapted Food Habits Questionnaire (FHQ) to estimate fat intake and fat-related behaviors, the NCI F&V Screener and F&V Habits Questionnaire (FVHQ) to measure F&V intake and behaviors. Generalized linear models were examined for all outcome measurements.
2525 worksite employees were recruited. At 4 months, dietary fat intake decreased significantly more for TW (-2.95 %) and TW + TV (-3.14%) compared with NT (-2.42%). FHQ scores decreased significantly more for TW + TV than the other two groups. Fruit intake increased the most for TW + TV compared to NT and TW. Both TW (1.30 cups) and TW + TV (1.59 cups) increased F&V intake significantly more than NT (0.78 cups). TW + TV showed the largest increase in F&V behaviors on the FVFQ. At 8 months, dietary fat change continued to be significantly better for TW + TV (-3.48%) than NT (3.01%). F&V intake increased significantly more for the TW + TV group (1.38 cups) compared to the NT group (1.04 cups) and FVHQ changes were significantly greater in TW + TV and TW than for NT.
The tailored intervention participants were more likely to decrease fat and increase F&V intake. The TW + TV group was generally the stronger of the two tailored interventions, especially at the longer term follow-up, demonstrating the promise of tailored video as an intervention to change eating habits. Future studies should explore newer channels and technologies in addition to DVDs for delivering tailored video interventions such as the internet and smart phones.
ClinicalTrials.gov identifier: NCT00301678.
需要有效且低成本的方法来促进饮食行为改变。虽然视频和个性化技术都是改善饮食的有效干预措施，但这些方法从未被结合起来研究个性化视频的效果。本文旨在讨论“对你有益！”这一随机试验的结果，该试验测试了创新的、个性化视频在帮助工作场所员工减少膳食脂肪摄入和增加水果和蔬菜（F&V）摄入量方面的功效。
根据大致规模、公司类型和劳动力构成对工作场所进行匹配，并随机分为三个实验条件之一：非个性化书面信息（NT）组（n = 14）、个性化书面信息（TW）组（n = 14）或个性化书面信息 + 个性化视频（TW + TV）组（n = 15）。在基线、4个月和7个月时进行评估。我们使用美国国立癌症研究所（NCI）脂肪筛查工具和改编后的饮食习惯问卷（FHQ）来估计脂肪摄入量和与脂肪相关的行为，使用NCI水果和蔬菜筛查工具以及水果和蔬菜习惯问卷（FVHQ）来测量水果和蔬菜摄入量及行为。对所有结果测量指标进行广义线性模型分析。
招募了2525名工作场所员工。在4个月时，与NT组（-2.42%）相比，TW组（-2.95%）和TW + TV组（-3.14%）的膳食脂肪摄入量显著下降更多。TW + TV组的FHQ得分下降幅度明显大于其他两组。与NT组和TW组相比，TW + TV组的水果摄入量增加最多。TW组（1.30杯）和TW + TV组（1.59杯）的水果和蔬菜摄入量显著高于NT组（0.78杯）。TW + TV组在FVFQ上的水果和蔬菜行为增加幅度最大。在8个月时，TW + TV组（-3.48%）的膳食脂肪变化仍显著优于NT组（3.01%）。与NT组（1.04杯）相比，TW + TV组的水果和蔬菜摄入量增加更为显著（1.38杯），且TW + TV组和TW组的FVHQ变化显著大于NT组。
个性化干预参与者更有可能减少脂肪摄入并增加水果和蔬菜摄入量。TW + TV组通常是两种个性化干预中效果更强的一组，尤其是在长期随访中，这表明个性化视频作为一种改变饮食习惯的干预措施具有前景。未来的研究除了DVD之外，还应探索更新的渠道和技术来提供个性化视频干预，如互联网和智能手机。
ClinicalTrials.gov标识符：NCT00301678。
