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Group-Based Trajectory Analysis of Physical Activity Change in a US Weight Loss Intervention

Authors :
Susan M. Sereika
Meghan Mattos
Yaguang Zheng
Christopher C. Imes
Rachel W Goode
Dara D. Mendez
Lora E. Burke
Bonny Rockette-Wagner
Source :
Journal of Physical Activity and Health. 15:840-846
Publication Year :
2018
Publisher :
Human Kinetics, 2018.

Abstract

Background: The obesity epidemic is a global concern. Standard behavioral treatment including increased physical activity, reduced energy intake, and behavioral change counseling is an effective lifestyle intervention for weight loss. Purpose: To identify distinct step count patterns among weight loss intervention participants, examine weight loss differences by trajectory group, and examine baseline factors associated with trajectory group membership. Methods: Both groups received group-based standard behavioral treatment while the experimental group received up to 30 additional, one-on-one self-efficacy enhancement sessions. Data were analyzed using group-based trajectory modeling, analysis of variance, chi-square tests, and multinomial logistic regression. Results: Participants (N = 120) were mostly female (81.8%) and white (73.6%) with a mean (SD) body mass index of 33.2 (3.8) kg/m2. Four step count trajectory groups were identified: active (>10,000 steps/day; 11.7%), somewhat active (7500–10,000 steps/day; 28.3%), low active (5000–7500 steps/day; 27.5%), and sedentary (P = .001). At baseline, lower body mass index and higher perceived health predicted membership in the better performing trajectory groups. Conclusions: Within a larger group of adults in a weight loss intervention, 4 distinct trajectory groups were identified and group membership was associated with differential weight loss.

Details

ISSN :
15435474 and 15433080
Volume :
15
Database :
OpenAIRE
Journal :
Journal of Physical Activity and Health
Accession number :
edsair.doi.dedup.....a384b105523e1b09e6856e47ec65b006