OBJECTIVE: Little is known about temporal patterns of diet change within interventions, nor about predictors of early and sustained successful change. Social-cognitive theory asserts that early successes in achieving behavior change increase self-efficacy, leading to longer-term success. DESIGN: The authors conducted exploratory cluster analyses using dietary data from the first month of the telephone counseling intervention of the Women's Healthy Eating and Living (WHEL) Study. MAIN OUTCOME MEASURE: Change in dietary pattern at three early intervention timepoints. RESULTS: Three clusters were identified: Cluster 1 (25%) was close to meeting study goals at baseline, but still made major changes; Cluster 2 (49%) and Cluster 3 (26%) were not achieving study goals at baseline, but Cluster 2 made substantial immediate changes, while Cluster 3 changed their diet more gradually. Baseline demographic and behavioral variables were associated with cluster membership; however, the strongest predictors of cluster were self-efficacy, motivation, and approaches to study goals. Cluster membership predicted dietary pattern at 12 months. CONCLUSION: These data suggest that a one-on-one telephone counseling intervention that is intensive in the early weeks may maximize the level of change achieved in a study. PsycINFO Database Record (c) 2008 APA, all rights reserved.
RCT Entities:
OBJECTIVE: Little is known about temporal patterns of diet change within interventions, nor about predictors of early and sustained successful change. Social-cognitive theory asserts that early successes in achieving behavior change increase self-efficacy, leading to longer-term success. DESIGN: The authors conducted exploratory cluster analyses using dietary data from the first month of the telephone counseling intervention of the Women's Healthy Eating and Living (WHEL) Study. MAIN OUTCOME MEASURE: Change in dietary pattern at three early intervention timepoints. RESULTS: Three clusters were identified: Cluster 1 (25%) was close to meeting study goals at baseline, but still made major changes; Cluster 2 (49%) and Cluster 3 (26%) were not achieving study goals at baseline, but Cluster 2 made substantial immediate changes, while Cluster 3 changed their diet more gradually. Baseline demographic and behavioral variables were associated with cluster membership; however, the strongest predictors of cluster were self-efficacy, motivation, and approaches to study goals. Cluster membership predicted dietary pattern at 12 months. CONCLUSION: These data suggest that a one-on-one telephone counseling intervention that is intensive in the early weeks may maximize the level of change achieved in a study. PsycINFO Database Record (c) 2008 APA, all rights reserved.
Authors: Lawrence J Appel; Catherine M Champagne; David W Harsha; Lawton S Cooper; Eva Obarzanek; Patricia J Elmer; Victor J Stevens; William M Vollmer; Pao-Hwa Lin; Laura P Svetkey; Sarah W Stedman; Deborah R Young Journal: JAMA Date: 2003 Apr 23-30 Impact factor: 56.272
Authors: C L Rock; S W Flatt; F A Wright; S Faerber; V Newman; S Kealey; J P Pierce Journal: Cancer Epidemiol Biomarkers Prev Date: 1997-08 Impact factor: 4.254
Authors: Sharon J Wayne; Susan T Lopez; Lisa M Butler; Kathy B Baumgartner; Richard N Baumgartner; Rachel Ballard-Barbash Journal: J Am Diet Assoc Date: 2004-10
Authors: M K Campbell; B M DeVellis; V J Strecher; A S Ammerman; R F DeVellis; R S Sandler Journal: Am J Public Health Date: 1994-05 Impact factor: 9.308
Authors: Andrew Steptoe; Linda Perkins-Porras; Elisabeth Rink; Sean Hilton; Francesco P Cappuccio Journal: Health Psychol Date: 2004-11 Impact factor: 4.267
Authors: John P Pierce; Susan Faerber; Fred A Wright; Cheryl L Rock; Vicky Newman; Shirley W Flatt; Sheila Kealey; Vicky E Jones; Bette J Caan; Ellen B Gold; Mary Haan; Kathryn A Hollenbach; Lovell Jones; James R Marshall; Cheryl Ritenbaugh; Marcia L Stefanick; Cynthia Thomson; Linda Wasserman; Loki Natarajan; Ronald G Thomas; Elizabeth A Gilpin Journal: Control Clin Trials Date: 2002-12
Authors: Lee Hooper; Carolyn D Summerbell; Rachel Thompson; Deirdre Sills; Felicia G Roberts; Helen J Moore; George Davey Smith Journal: Cochrane Database Syst Rev Date: 2012-05-16
Authors: Heather M Johnson; Lisa Sullivan-Vedder; KyungMann Kim; Patrick E McBride; Maureen A Smith; Jamie N LaMantia; Jennifer T Fink; Megan R Knutson Sinaise; Laura M Zeller; Diane R Lauver Journal: Contemp Clin Trials Date: 2019-01-21 Impact factor: 2.226
Authors: Raheem J Paxton; Lovell A Jones; Shine Chang; Mike Hernandez; Richard A Hajek; Shirley W Flatt; Loki Natarajan; John P Pierce Journal: Cancer Date: 2011-02-11 Impact factor: 6.860
Authors: Sheri J Hartman; Sandahl H Nelson; Lisa A Cadmus-Bertram; Ruth E Patterson; Barbara A Parker; John P Pierce Journal: Am J Prev Med Date: 2016-09-02 Impact factor: 5.043
Authors: John P Pierce; Loki Natarajan; Bette J Caan; Shirley W Flatt; Sheila Kealey; Ellen B Gold; Richard A Hajek; Vicky A Newman; Cheryl L Rock; Minya Pu; Nazmus Saquib; Marcia L Stefanick; Cynthia A Thomson; Barbara Parker Journal: Am J Clin Nutr Date: 2009-04-01 Impact factor: 7.045
Authors: Erin T Tobin; Heidi S Kane; Daniel J Saleh; Sylvie Naar-King; Pavadee Poowuttikul; Elizabeth Secord; Wayne Pierantoni; Valerie A Simon; Richard B Slatcher Journal: Health Psychol Date: 2014-09-15 Impact factor: 4.267
Authors: Lee Hooper; Carolyn D Summerbell; Rachel Thompson; Deirdre Sills; Felicia G Roberts; Helen Moore; George Davey Smith Journal: Cochrane Database Syst Rev Date: 2011-07-06