Literature DB >> 27888255

Longitudinal analysis of intervention effects on temptations and stages of change for dietary fat using parallel process latent growth modeling.

Leslie Ann D Brick1,2, Si Yang3, Lisa L Harlow3, Colleen A Redding3, James O Prochaska3.   

Abstract

The Dietary Guidelines for Americans recommend a 20-35 percent daily intake of fat. Resisting the temptation to eat high-fat foods, in conjunction with stage of readiness to avoid these foods, has been shown to influence healthy behavior change. Data ( N = 6516) from three randomized controlled trials were pooled to examine the relationships among direct intervention effects on temptations and stage of change for limiting high-fat foods. Findings demonstrate separate simultaneous growth processes in which baseline level of temptations, but not the rate of change in temptations, was significantly related to the change in readiness to avoid high-fat foods.

Entities:  

Keywords:  high-fat diet; latent growth curve modeling; stage of change; temptations

Mesh:

Substances:

Year:  2016        PMID: 27888255      PMCID: PMC5445015          DOI: 10.1177/1359105316679723

Source DB:  PubMed          Journal:  J Health Psychol        ISSN: 1359-1053


  26 in total

1.  Multiple risk expert systems interventions: impact of simultaneous stage-matched expert system interventions for smoking, high-fat diet, and sun exposure in a population of parents.

Authors:  James O Prochaska; Wayne F Velicer; Joseph S Rossi; Colleen A Redding; Geoffrey W Greene; Susan R Rossi; Xiaowu Sun; Joseph L Fava; Robert Laforge; Brett A Plummer
Journal:  Health Psychol       Date:  2004-09       Impact factor: 4.267

2.  The process of smoking cessation: an analysis of precontemplation, contemplation, and preparation stages of change.

Authors:  C C DiClemente; J O Prochaska; S K Fairhurst; W F Velicer; M M Velasquez; J S Rossi
Journal:  J Consult Clin Psychol       Date:  1991-04

3.  Patterns of Change: Dynamic Typology Applied to Smoking Cessation.

Authors:  J O Prochaska; W F Velicer; E Guadagnoli; J S Rossi; C C DiClemente
Journal:  Multivariate Behav Res       Date:  1991-01-01       Impact factor: 5.923

4.  Investigation of Mediational Processes Using Parallel Process Latent Growth Curve Modeling.

Authors:  Jeewon Cheong; David P Mackinnon; Siek Toon Khoo
Journal:  Struct Equ Modeling       Date:  2003-04-01       Impact factor: 6.125

5.  Latent transition analysis for longitudinal data.

Authors:  W F Velicer; R A Martin; L M Collins
Journal:  Addiction       Date:  1996-12       Impact factor: 6.526

6.  Self-efficacy: toward a unifying theory of behavioral change.

Authors:  A Bandura
Journal:  Psychol Rev       Date:  1977-03       Impact factor: 8.934

7.  Decisional balance measure for assessing and predicting smoking status.

Authors:  W F Velicer; C C DiClemente; J O Prochaska; N Brandenburg
Journal:  J Pers Soc Psychol       Date:  1985-05

8.  Stage-based expert systems to guide a population of primary care patients to quit smoking, eat healthier, prevent skin cancer, and receive regular mammograms.

Authors:  James O Prochaska; Wayne F Velicer; Colleen Redding; Joseph S Rossi; Michael Goldstein; Judith DePue; Geoffrey W Greene; Susan R Rossi; Xiaowu Sun; Joseph L Fava; Robert Laforge; William Rakowski; Brett A Plummer
Journal:  Prev Med       Date:  2005-08       Impact factor: 4.018

9.  How can self-efficacy be increased? Meta-analysis of dietary interventions.

Authors:  Andrew Prestwich; Ian Kellar; Richard Parker; Siobhan MacRae; Matthew Learmonth; Bianca Sykes; Natalie Taylor; Holly Castle
Journal:  Health Psychol Rev       Date:  2013-07-15

10.  Baseline transtheoretical and dietary behavioral predictors of dietary fat moderation over 12 and 24 months.

Authors:  Geoffrey W Greene; Colleen A Redding; James O Prochaska; Andrea L Paiva; Joseph S Rossi; Wayne F Velicer; Bryan Blissmer; Mark L Robbins
Journal:  Eat Behav       Date:  2013-03-01
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