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

Authors :
Imes, Christopher C.
Zheng, Yaguang
Mendez, Dara D.
Rockette-Wagner, Bonny J.
Mattos, Meghan K.
Goode, Rachel W.
Sereika, Susan M.
Burke, Lora E.
Source :
Journal of Physical Activity & Health; Nov2018, Vol. 15 Issue 11, p840-846, 7p, 3 Charts, 2 Graphs
Publication Year :
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/m<superscript>2</superscript>. 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 (<5000 steps/day; 32.5%). Percent weight loss at 12 months increased incrementally by trajectory group (5.1% [5.7%], 7.8% [6.9%], 8.0% [7.4%], and 13.63% [7.0%], respectively; 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15433080
Volume :
15
Issue :
11
Database :
Complementary Index
Journal :
Journal of Physical Activity & Health
Publication Type :
Academic Journal
Accession number :
134277001
Full Text :
https://doi.org/10.1123/jpah.2017-0484