» Articles » PMID: 23910762

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

Overview
Journal Eat Behav
Date 2013 Aug 6
PMID 23910762
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

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 and 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.

Citing Articles

Impact of Dietitian-Delivered Motivational Interviewing Within a Food is Medicine Intervention Targeting Adults Living With and Beyond Cancer.

Braun A, Portner J, Grainger E, Clinton S, Xu M, Darragh A J Cancer Educ. 2024; .

PMID: 39708224 DOI: 10.1007/s13187-024-02552-4.


Association Between Awareness of Limiting Food Intake and All-cause Mortality: A Cohort Study in Japan.

Nishimoto D, Ibusuki R, Shimoshikiryo I, Shibuya K, Tanoue S, Koriyama C J Epidemiol. 2023; 34(6):286-294.

PMID: 37926519 PMC: 11078597. DOI: 10.2188/jea.JE20220354.


The status of health promotion lifestyle and its related factors in Shandong Province, China.

Liu Q, Huang S, Qu X, Yin A BMC Public Health. 2021; 21(1):1146.

PMID: 34130669 PMC: 8207564. DOI: 10.1186/s12889-021-11152-6.


Do Health Professionals Sufficiently Address Patients' Disposition Toward Changing Their Nutritional and Physical Activity Habits? Findings from a Pilot Study among People with Type 2 Diabetes in Northern Italy.

Wieser H, Vittadello F, Comploj E, Stummer H Healthcare (Basel). 2020; 8(4).

PMID: 33271823 PMC: 7711678. DOI: 10.3390/healthcare8040524.


Discretionary Salt Intake and Readiness for Behavioral Change Among Women in Tehran.

Pirasteh A, Pouraram H, Kholdi N, Abtahi M Int J Prev Med. 2020; 10:167.

PMID: 32133085 PMC: 6826771. DOI: 10.4103/ijpvm.IJPVM_523_18.


References
1.
Greene G, Rossi S, Rossi J, Velicer W, Fava J, Prochaska J . Dietary applications of the stages of change model. J Am Diet Assoc. 1999; 99(6):673-8. DOI: 10.1016/S0002-8223(99)00164-9. View

2.
Prochaska J, Velicer W, Redding C, Rossi J, Goldstein M, Depue J . Stage-based expert systems to guide a population of primary care patients to quit smoking, eat healthier, prevent skin cancer, and receive regular mammograms. Prev Med. 2005; 41(2):406-16. DOI: 10.1016/j.ypmed.2004.09.050. View

3.
Sacks F, Katan M . Randomized clinical trials on the effects of dietary fat and carbohydrate on plasma lipoproteins and cardiovascular disease. Am J Med. 2003; 113 Suppl 9B:13S-24S. DOI: 10.1016/s0002-9343(01)00987-1. View

4.
Greene G, Fey-Yensan N, Padula C, Rossi S, Rossi J, Clark P . Change in fruit and vegetable intake over 24 months in older adults: results of the SENIOR project intervention. Gerontologist. 2008; 48(3):378-87. DOI: 10.1093/geront/48.3.378. View

5.
Prochaska J, Velicer W, Rossi J, Redding C, Greene G, Rossi S . 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. Health Psychol. 2004; 23(5):503-16. DOI: 10.1037/0278-6133.23.5.503. View