142nd APHA Annual Meeting and Exposition

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301644
Longitudinal patterns of stages of change for exercise and lifestyle intervention outcomes

142nd APHA Annual Meeting and Exposition (November 15 - November 19, 2014): http://www.apha.org/events-and-meetings/annual
Monday, November 17, 2014

Luohua Jiang , Department of Epidemiology & Biostatistics, Texas A&M University, Health Science Center, College Station, TX
Ben Zhang , Department of Epidemiology & Biostatistics, Texas A&M University, Health Science Center, College Station, TX
Janette Beals, PhD , Centers for American Indian and Alaska Native Health, University of Colorado Anschutz Medical Campus, Aurora, CO
Christina Mitchell , Centers for American Indian and Alaska Native Health, University of Colorado Anschutz Medical Campus, Aurora, CO
Spero Manson, PhD , Centers for American Indian and Alaska Native Health, University of Colorado Denver, Aurora, CO
Yvette Roubideaux , Office of the Director, Indian Health Service, Rockville, MD
Purpose: To examine the transition patterns of stages of change (SoC) for regular exercise over time among individuals participating in a lifestyle intervention project and to investigate the association between longitudinal patterns of SoC and lifestyle intervention outcomes.

Methods: We analyzed data from the Special Diabetes Program for Indians Diabetes Prevention (SDPI-DP) Program, a lifestyle intervention program to prevent diabetes among American Indian and Alaska Natives (AI/ANs). A total of 1,344 participants completed the project questionnaires at baseline, post-curriculum, and one year. Latent class analysis (LCA) was conducted to identify the longitudinal patterns of SoC for regular exercise reported at the three time points. An improved 3-step approach was used to investigate the associations between latent class membership and behavioral changes after the intervention.

Results: Three latent classes were identified: Pre-action, Transition, and Maintenance classes. The participants in the Transition class moved from pre-action stage at baseline to action or maintenance stage post-intervention. Compared to the other two classes, those in the Transition class had the greatest improvements in physical activity and weight outcomes at both time points post-baseline. Furthermore, at year 1 assessment, the Transition and Maintenance classes had less attenuation than the Pre-action class in the improvements they had achieved initially in all the outcome variables.

Conclusions: LCA methods are useful in identifying longitudinal patterns of readiness to change exercise behavior. Three latent classes were found in this study. The Transition class, where stage progression occurred, had the highest magnitude in positive behavioral changes.

Learning Areas:

Biostatistics, economics
Chronic disease management and prevention
Epidemiology
Social and behavioral sciences

Learning Objectives:
Describe three latent classes in the longitudinal patterns of stages of change for regular exercise among participants of a lifestyle intervention. Explain the relationship between longitudinal patterns of stages of change and lifestyle intervention outcomes. Analyze the relationship between multiple categorical indicators and continuous outcome variables using latent class analysis with distal outcomes method.

Keyword(s): Physical Activity, Chronic Disease Prevention

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have been the principal investigator or co-investigator of multiple federally funded grants focusing on chronic disease prevention and management interventions based on social-behavioral theories. Furthermore, as the lead biostatistician in the coordinating center of two national multi-center diabetes/cardiovascular disease prevention projects for 5+ years, I have rich experience in analyzing longitudinal data with multi-level data structures. My research interests include multilevel and longitudinal data analysis, latent variable modeling, and health disparities research.
Any relevant financial relationships? Yes

Name of Organization Clinical/Research Area Type of relationship
Omada Health Diabetes Prevention Consultant

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.