Tinker Lesley F, Rosal Milagros C, Young Anne F, Perri Michael G, Patterson Ruth E, Van Horn Linda, Assaf Annlouise R, Bowen Deborah J, Ockene Judith, Hays Jennifer, Wu Lieling
Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
J Am Diet Assoc. 2007 Jul;107(7):1155-66. doi: 10.1016/j.jada.2007.04.010.
To identify predictors of dietary change to and maintenance of a low-fat eating pattern (<20% energy from fat, > or = 5 servings fruits/vegetables daily, and > or = 6 servings grains daily) among a cohort of postmenopausal women. Candidate predictors included intrapersonal, interpersonal, intervention program characteristics, and clinical center.
Longitudinal study within the Women's Health Initiative Dietary Modification Trial. Dietary change was evaluated after 1 year of participation in the Women's Health Initiative Dietary Modification Trial, and dietary maintenance after 3 years.
Postmenopausal women aged 50 to 79 years at baseline who were randomized to the intervention arm of the Women's Health Initiative Dietary Modification Trial (n=19,541).
Univariate and multivariate linear regression analysis was performed and associations evaluated between candidate predictors and each of the three dietary goals: percent energy from fat, fruit/vegetable servings, and grain servings.
Year 1 (change) predictors of percent energy from fat (P<0.005) included being younger (beta=2.12; 70 to 79 years vs 50 to 59 years), more educated (beta=-.69; college vs high school), more optimistic (beta=-.07), attending more sessions (beta=-.69), and submitting more self-monitoring records (beta=-.74). At year 3 (maintenance), the predictors of percent energy from fat (P<0.005) included attending more sessions (beta=-.65) and submitting more self-monitoring scores (beta=-.71). The analytic model predicted 22% of the variance in fat intake at year 1 and 27% at year 3 (P<0.01).
The strongest predictors of dietary change and maintenance were attending intervention sessions and self-monitoring dietary intake. Novel was the finding that optimism predicted dietary change.
在一组绝经后妇女中确定向低脂饮食模式(脂肪供能<20%,每日水果/蔬菜摄入量≥5份,每日谷物摄入量≥6份)转变及维持该饮食模式的预测因素。候选预测因素包括个人因素、人际因素、干预项目特征及临床中心。
妇女健康倡议饮食调整试验中的纵向研究。在参与妇女健康倡议饮食调整试验1年后评估饮食变化,3年后评估饮食维持情况。
基线时年龄在50至79岁的绝经后妇女,她们被随机分配到妇女健康倡议饮食调整试验的干预组(n = 19541)。
进行单变量和多变量线性回归分析,并评估候选预测因素与三个饮食目标(脂肪供能百分比、水果/蔬菜份数、谷物份数)之间的关联。
第1年(变化)时,脂肪供能百分比的预测因素(P<0.005)包括年龄较小(β = 2.12;70至79岁与50至59岁相比)、受教育程度较高(β = -0.69;大学学历与高中学历相比)、更乐观(β = -0.07)、参加的课程更多(β = -0.69)以及提交的自我监测记录更多(β = -0.74)。在第3年(维持)时,脂肪供能百分比的预测因素(P<0.005)包括参加的课程更多(β = -0.65)以及提交的自我监测分数更多(β = -0.71)。该分析模型在第1年预测了脂肪摄入量22%的方差,在第3年预测了27%的方差(P<0.01)。
饮食变化和维持的最强预测因素是参加干预课程和自我监测饮食摄入量。乐观情绪可预测饮食变化这一发现很新颖。