ArticleObesity science & practice2024
Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis.
Article in Obesity science & practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Early Weight Loss and Other Factors Associated With Clinically Significant Weight Loss in Two Commercial Weight Loss Programmes.Clinical obesity · 2026Trial
- Weight Loss Outcomes of Routine Dietetic Treatment in Primary Care.Clinical obesity · 2026Article
- Heterogeneity in Treatment Outcomes After a Multicomponent Weight Loss Intervention in Older Adults with Obesity.Current developments in nutrition · 2026Article
- Association Between Early Weight Loss and Metabolic Outcomes with Tirzepatide in Japanese Patients with Type 2 Diabetes: A SURPASS J Post Hoc Analysis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025Article
- Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis.Obesity science & practice · 2024Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: There is substantial inter-individual variability in response to weight loss interventions and emerging evidence suggests that weight loss during the early weeks of an intervention may be predictive of longer-term weight loss. This secondary analysis of data from a commercial program therefore examined 1) the associations between early weight loss (i.e., week 4) with final visit weight loss and duration on the program, and 2) other predictors of lower weight loss at final visit. Methods: Client charts of adults with overweight or obesity ( Results: The odds ratios for losing <5% or <10% of weight at the final visit were higher (49.0 (95% CI: 13.84, 173.63) and 20.1 (95% CI: 6.96, 58.06)) for clients who lost <2% or <3% compared to those who lost ≥2% or ≥3% at week 4. Other predictors of not losing a clinically relevant amount of weight included female sex, use of higher calorie meal plans and shorter time in the program, among others. Those who lost ≥2% at week 4 also had a significantly greater percent program completion (109.2 ± 75.2% vs. 82.3 ± 82.4, Conclusions: Lower 4-week weight loss was identified as a strong predictor of not losing a clinically relevant amount of weight. These results may be useful for the early identification of individuals who can be targeted for additional counseling and support to aid in attaining weight loss goals.
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