ArticleTranslational behavioral medicine2020
Short-term weight trajectories and long-term weight outcomes from a lifestyle intervention in real-world clinical practice.
Article in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Examining paradoxical session attendance and weight loss relationships in a clinic based lifestyle modification intervention.Obesity science & practice · 2023Article
- Lifestyle change program engagement in real-world clinical practice: a mixed-methods analysis.Translational behavioral medicine · 2023Article
- 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.BMJ nutrition, prevention & health · 2022Article
- Effectiveness of a Group-Based Lifestyle Change Program Versus Usual Care: An Electronic Health Record, Propensity Score-Matched Cohort Study.American journal of preventive medicine · 2020Article
- Early Weight Loss and Treatment Response: Data From a Lifestyle Change Program in Clinical Practice.American journal of preventive medicine · 2020Article
- Characteristics of Slovenian Adults in Community-Based Whole-Food Plant-Based Lifestyle Program.Journal of nutrition and metabolism · 2020Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
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.
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