Predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysis

Abstract Background Substantial interindividual variability in response to behavioral weight loss interventions remains a critical challenge in obesity treatment. An improved understanding of the complex factors that contribute to this variability may improve obesity treatment outcomes. Objective To...

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Main Authors: Danielle M. Ostendorf, Jennifer M. Blankenship, Laura Grau, Jaron Arbet, Nia S. Mitchell, Seth A. Creasy, Ann E. Caldwell, Edward L. Melanson, Suzanne Phelan, Daniel H. Bessesen, Victoria A. Catenacci
Format: Article
Language:English
Published: Wiley 2021-10-01
Series:Obesity Science & Practice
Subjects:
Online Access:https://doi.org/10.1002/osp4.530
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spelling doaj-f65ca565d9024263a894ea42d7dc93682021-10-04T06:52:35ZengWileyObesity Science & Practice2055-22382021-10-017556958210.1002/osp4.530Predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysisDanielle M. Ostendorf0Jennifer M. Blankenship1Laura Grau2Jaron Arbet3Nia S. Mitchell4Seth A. Creasy5Ann E. Caldwell6Edward L. Melanson7Suzanne Phelan8Daniel H. Bessesen9Victoria A. Catenacci10Department of Medicine Anschutz Health and Wellness Center University of Colorado Anschutz Medical Campus Aurora Colorado USADepartment of Medicine Division of Endocrinology, Metabolism, and Diabetes University of Colorado Anschutz Medical Campus Aurora Colorado USADepartment of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus Aurora Colorado USADepartment of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus Aurora Colorado USADepartment of Medicine Duke University School of Medicine Durham North Carolina USADepartment of Medicine Anschutz Health and Wellness Center University of Colorado Anschutz Medical Campus Aurora Colorado USADepartment of Medicine Anschutz Health and Wellness Center University of Colorado Anschutz Medical Campus Aurora Colorado USADepartment of Medicine Division of Endocrinology, Metabolism, and Diabetes University of Colorado Anschutz Medical Campus Aurora Colorado USADepartment of Kinesiology & Public Health California Polytechnic State University San Luis Obispo California USADepartment of Medicine Anschutz Health and Wellness Center University of Colorado Anschutz Medical Campus Aurora Colorado USADepartment of Medicine Anschutz Health and Wellness Center University of Colorado Anschutz Medical Campus Aurora Colorado USAAbstract Background Substantial interindividual variability in response to behavioral weight loss interventions remains a critical challenge in obesity treatment. An improved understanding of the complex factors that contribute to this variability may improve obesity treatment outcomes. Objective To identify weight change trajectories during a behavioral weight loss intervention and to explore differences between trajectory groups in sociodemographic, biologic, behavioral, and psychosocial factors. Methods Adults (n = 170, 40 ± 9 years, BMI 34 ± 4 kg/m2, 84% female) participated in an 18‐month behavioral weight loss intervention. Weight was measured at 0, 3, 6, 9, 12, 15, 18, and 24 months. Among participants with at least two weights after baseline (n = 140), clusters of longitudinal trajectories of changes in weight were identified using a latent class growth mixture model. The association between baseline factors or changes in factors over time and trajectory group was examined. Results Two weight change trajectories were identified: “weight regainers” (n = 91) and “weight loss maintainers” (n = 49). Black participants (90%, 19/21) were more likely than non‐Black participants to be regainers versus maintainers (p < 0.01). Maintainers demonstrated greater increases in device‐measured physical activity, autonomous motivation for exercise, diet self‐efficacy, cognitive restraint, and engagement in weight management behaviors and greater reductions in barriers for exercise, disinhibition, and depressive symptoms over 24 months versus regainers (p < 0.05). Conclusion Maintainers and regainers appear to be distinct trajectories that are associated with specific sociodemographic, behavioral, and psychosocial factors. Study results suggest potential targets for more tailored, multifaceted interventions to improve obesity treatment outcomes.https://doi.org/10.1002/osp4.530lifestyle modificationsobesity phenotypesobesity treatmentpsychosocial variablesrace
collection DOAJ
language English
format Article
sources DOAJ
author Danielle M. Ostendorf
Jennifer M. Blankenship
Laura Grau
Jaron Arbet
Nia S. Mitchell
Seth A. Creasy
Ann E. Caldwell
Edward L. Melanson
Suzanne Phelan
Daniel H. Bessesen
Victoria A. Catenacci
spellingShingle Danielle M. Ostendorf
Jennifer M. Blankenship
Laura Grau
Jaron Arbet
Nia S. Mitchell
Seth A. Creasy
Ann E. Caldwell
Edward L. Melanson
Suzanne Phelan
Daniel H. Bessesen
Victoria A. Catenacci
Predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysis
Obesity Science & Practice
lifestyle modifications
obesity phenotypes
obesity treatment
psychosocial variables
race
author_facet Danielle M. Ostendorf
Jennifer M. Blankenship
Laura Grau
Jaron Arbet
Nia S. Mitchell
Seth A. Creasy
Ann E. Caldwell
Edward L. Melanson
Suzanne Phelan
Daniel H. Bessesen
Victoria A. Catenacci
author_sort Danielle M. Ostendorf
title Predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysis
title_short Predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysis
title_full Predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysis
title_fullStr Predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysis
title_full_unstemmed Predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysis
title_sort predictors of long‐term weight loss trajectories during a behavioral weight loss intervention: an exploratory analysis
publisher Wiley
series Obesity Science & Practice
issn 2055-2238
publishDate 2021-10-01
description Abstract Background Substantial interindividual variability in response to behavioral weight loss interventions remains a critical challenge in obesity treatment. An improved understanding of the complex factors that contribute to this variability may improve obesity treatment outcomes. Objective To identify weight change trajectories during a behavioral weight loss intervention and to explore differences between trajectory groups in sociodemographic, biologic, behavioral, and psychosocial factors. Methods Adults (n = 170, 40 ± 9 years, BMI 34 ± 4 kg/m2, 84% female) participated in an 18‐month behavioral weight loss intervention. Weight was measured at 0, 3, 6, 9, 12, 15, 18, and 24 months. Among participants with at least two weights after baseline (n = 140), clusters of longitudinal trajectories of changes in weight were identified using a latent class growth mixture model. The association between baseline factors or changes in factors over time and trajectory group was examined. Results Two weight change trajectories were identified: “weight regainers” (n = 91) and “weight loss maintainers” (n = 49). Black participants (90%, 19/21) were more likely than non‐Black participants to be regainers versus maintainers (p < 0.01). Maintainers demonstrated greater increases in device‐measured physical activity, autonomous motivation for exercise, diet self‐efficacy, cognitive restraint, and engagement in weight management behaviors and greater reductions in barriers for exercise, disinhibition, and depressive symptoms over 24 months versus regainers (p < 0.05). Conclusion Maintainers and regainers appear to be distinct trajectories that are associated with specific sociodemographic, behavioral, and psychosocial factors. Study results suggest potential targets for more tailored, multifaceted interventions to improve obesity treatment outcomes.
topic lifestyle modifications
obesity phenotypes
obesity treatment
psychosocial variables
race
url https://doi.org/10.1002/osp4.530
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