Literature DB >> 31369678

Short-term weight trajectories and long-term weight outcomes from a lifestyle intervention in real-world clinical practice.

Robert J Romanelli1, Sylvia Sudat2, Qiwen Huang1, Jun Ma3, Elizabeth M Venditti4, Deborah A Greenwood5, Alice R Pressman2, Kristen M J Azar2.   

Abstract

Centers for Disease Control and Prevention aligned lifestyle change programs are effective in promoting weight loss among those with elevated cardiometabolic risk; yet, variability in weight outcomes among participants is high. Little is known about heterogeneity of short-term weight changes among participants in real-world clinical practice. We sought to identify short-term weight trajectory clusters among lifestyle change program participants in real-world clinical practice and to examine the relationship between cluster membership and long-term weight outcomes. We identified participants from the electronic health records (2010-2017) with weight measured ≤30 days prior to program initiation (baseline) and in four intervals (3-week segments) in the 12 weeks after baseline. Clustering analysis was performed to identify distinct trajectories in percent weight change over 12 weeks. Cluster-specific differences in weight change at 12 and 52 weeks were assessed. Among 1,148 participants, across 18 clinic sites, three clusters were identified: minimal-to-no weight loss (MWL), delayed-minimal weight loss (DWL), and steady-moderate weight loss (SWL), corresponding to mean weight changes of 0.4%, -2.3%, and -4.8% at 12 weeks follow-up, respectively. Mean weight changes were 0.4%, -1.8%, and -5.1% for MWL, DWL, and SWL clusters, respectively, at 52 weeks follow-up, which correlated in direction and magnitude with short-term weight changes. Clustering analysis reveals heterogeneous, short-term weight trajectories among lifestyle change program participants in real-world clinical practice. Given the relationship between the magnitudes of short- and long-term weight change, individual participant weight trajectories may be useful in identifying potential non-responders in need of adjunctive or alternative therapy. © Society of Behavioral Medicine 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Behavioral lifestyle program; Electronic health records; Weight loss; real world

Year:  2020        PMID: 31369678     DOI: 10.1093/tbm/ibz118

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  4 in total

1.  Early Weight Loss and Treatment Response: Data From a Lifestyle Change Program in Clinical Practice.

Authors:  Robert J Romanelli; Sylvia Sudat; Qiwen Huang; Alice R Pressman; Kristen Azar
Journal:  Am J Prev Med       Date:  2019-12-20       Impact factor: 5.043

2.  Effectiveness of a Group-Based Lifestyle Change Program Versus Usual Care: An Electronic Health Record, Propensity Score-Matched Cohort Study.

Authors:  Robert J Romanelli; Hsiao-Ching Huang; Sylvia Sudat; Alice R Pressman; Kristen M J Azar
Journal:  Am J Prev Med       Date:  2020-11-18       Impact factor: 5.043

3.  Bridging the gap between science and society: long-term effects of the Healthy Lifestyle Community Programme (HLCP, cohort 1) on weight and the metabolic risk profile: a controlled study.

Authors:  Corinna Anand; Ragna-Marie Kranz; Sarah Husain; Christian Koeder; Nora Schoch; Dima-Karam Alzughayyar; Reinhold Gellner; Karin Hengst; Heike Englert
Journal:  BMJ Nutr Prev Health       Date:  2022-02-22

4.  Characteristics of Slovenian Adults in Community-Based Whole-Food Plant-Based Lifestyle Program.

Authors:  Boštjan Jakše; Barbara Jakše; Stanislav Pinter; Jernej Pajek; Nataša Fidler Mis
Journal:  J Nutr Metab       Date:  2020-07-29
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.