{"id":47068,"date":"2007-07-01T00:00:00","date_gmt":"2018-12-04T03:11:36","guid":{"rendered":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/predictors-of-dietary-change-and-maintenance-in-the-women-s\/"},"modified":"2018-12-04T04:11:36","modified_gmt":"2018-12-04T03:11:36","slug":"predictors-of-dietary-change-and-maintenance-in-the-women-s","status":"publish","type":"resume","link":"https:\/\/aprifel-pp.mentalworks.biz\/fr\/resume-scientifique\/predictors-of-dietary-change-and-maintenance-in-the-women-s\/","title":{"rendered":"Predictors of dietary change and maintenance in the women’s health initiative dietary modification trial."},"content":{"rendered":"

OBJECTIVE: To identify predictors of dietary change to and maintenance of a low-fat eating pattern ( 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. <\/p>\n

DESIGN: 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. <\/p>\n

SUBJECTS: 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). <\/p>\n

STATISTICAL ANALYSIS: 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. <\/p>\n

RESULTS: 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). <\/p>\n

CONCLUSIONS: 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.<\/p>\n","protected":false},"template":"","mots_cles":[],"class_list":["post-47068","resume","type-resume","status-publish","hentry"],"acf":{"adresse":"Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. ltinker@whi.org","annee":"2007","mois":"7","numero":"107-7","page":"1155-66","auteurs":[{"ID":14098,"post_author":"0","post_date":"2018-12-03 19:05:49","post_date_gmt":"2018-12-03 18:05:49","post_content":"","post_title":"Lesley F Tinker","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"lesley-f-tinker","to_ping":"","pinged":"","post_modified":"2018-12-03 19:05:49","post_modified_gmt":"2018-12-03 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