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Baseline Transtheoretical and Dietary Behavioral Predictors of Dietary Fat Moderation over 12 and 24 months

机译:基线在12和24个月内进行膳食脂肪适度的膳食脂肪适度的饮食行为预测因子

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摘要

Longitudinal predictors of dietary behavior change are important and in need of study. This secondary data analysis combined primary data across three randomized trials to examine Transtheoretical Model (TTM) and specific dietary predictors of successful dietary change at 12 and 24 months separately in treatment and control groups (N=4178). The treatment group received three TTM-tailored print interventions over 12 months between 1995–2000. Chi-square and MANOVA analyses were used to examine baseline predictors of dietary outcome at 12 and 24 months. Last, a multivariable logistic regression was conducted with all baseline variables included. Across all analyses in both treatment and control groups, the most robust predictors of successful change were for TTM-tailored treatment group, Preparation stage of change, and increased use of dietary behavior variables such as moderating fat intake, substitution of lower fat foods, and Increasing intake of healthful foods. These results provide strong evidence for treatment, stage and behavioral dietary severity effects predicting dietary behavior change over time, and for targeting these variables with the strongest relationships to outcome in interventions, such as TTM-tailored dietary interventions.
机译:饮食行为变化的纵向预测因素很重要,需要研究。该次要数据分析结合了三个随机试验中的主要数据,分别检查了治疗组和对照组中的跨理论模型(TTM)和分别在12和24个月时成功改变饮食的具体饮食预测因子(N = 4178)。在1995年至2000年之间的12个月中,治疗组接受了3种TTM量身定制的印刷干预措施。卡方检验和MANOVA分析用于检查12和24个月时饮食结局的基线预测指标。最后,在包括所有基线变量的情况下进行了多变量逻辑回归。在治疗组和对照组的所有分析中,成功改变最强有力的预测因素是针对TTM量身定制的治疗组,改变的准备阶段以及饮食行为变量的使用增加,例如调节脂肪摄入,替代低脂食物和增加健康食品的摄入量。这些结果为预测饮食行为随时间变化的治疗,分期和行为饮食严重性影响以及针对这些变量提供了有力的证据,这些变量与干预措施(如TTM量身定做的饮食干预措施)的结果具有最强的关系。

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