SynthesisEuropean journal of clinical nutrition2016
Baseline characteristics associated with different BMI trajectories in weight loss trials: a case for better targeting of interventions.
Synthesis in European journal of clinical nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Depression and weight loss trajectories during an integrated behavioral intervention: Within-treatment analysis of the RAINBOW trial.PloS one · 2025Trial
- Determinants of successful lifestyle change during a 6-month preconception lifestyle intervention in women with obesity and infertility.European journal of nutrition · 2019Trial
- Baseline predictors associated with successful weight loss among breast cancer survivors in the Lifestyle, Exercise, and Nutrition (LEAN) study.Journal of cancer survivorship : research and practice · 2026Article
- Impact of and Comparative Outcomes for Digital and In-Person Interventions for Complex Obesity in a Diverse Urban Population.Endocrinology, diabetes & metabolism · 2026Article
- Protocol for a pilot RCT investigating a weight loss navigation program for adults.Contemporary clinical trials · 2026Article
- Evaluation of Intermittent Restricted Eating Using the Interval Weight Loss Online Platform in an Everyday Setting.Nutrients · 2025Article
- Impact of baseline adipose tissue characteristics on change in adipose tissue volume during a low calorie diet in people with obesity-results from the LION study.International journal of obesity (2005) · 2024Article
- Weight Loss Trajectories and Short-Term Prediction in an Online Weight Management Program.Nutrients · 2024Article
- Initial weight loss and early intervention adherence predict long-term weight loss during the Promoting Successful Weight Loss in Primary Care in Louisiana lifestyle intervention.Obesity (Silver Spring, Md.) · 2023Article
- Inferring temporal dynamics from cross-sectional data using Langevin dynamics.Royal Society open science · 2021Article
- Predictors of long-term weight loss trajectories during a behavioral weight loss intervention: An exploratory analysis.Obesity science & practice · 2021Article
- Weight Loss After Sleeve Gastrectomy: Does Type 2 Diabetes Status Impact Weight and Body Composition Trajectories?Obesity surgery · 2021Article
- A Randomized Controlled Trial of Dapagliflozin Plus Once-Weekly Exenatide Versus Placebo in Individuals with Obesity and Without Diabetes: Metabolic Effects and Markers Associated with Bodyweight Loss.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018Article
- Weight loss and mortality risk in patients with different adiposity at diagnosis of type 2 diabetes: a longitudinal cohort study.Nutrition & diabetes · 2018Article
- Dietary behaviour changes to improve nutritional quality and health outcomes.Chronic diseases and translational medicine · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectivesDietary weight loss interventions have heterogeneous outcomes in long-term studies, with many participants regaining part or all of the lost weight. Growth mixture modelling is a novel analytic approach that can be used to identify different trajectories of weight change during a trial rather than focussing on the total amount of weight lost. SUBJECTS/
methodsData were pooled from two 12-month dietary weight loss studies where no significant difference was detected between the treatment and control arms, thus allowing analysis independent of treatment. The data set included 231 subjects (74.5% female), with a mean weight loss of 6.40 kg (4.96). Growth mixture models were used to identify participants with similar trajectories of change in body mass index (BMI).
resultsThree subgroups were identified. A rapid and continuing BMI loss over the study period (rapid, n=53), a rapid initial weight loss in the first 3 months with a slowing rate over the remaining 9 months (maintainers, n=146) and those with an initial loss trajectory, which slowed and began to increase at 9 months (recidivists, n=53). Age (s.d.) and BMI (s.d.) were significantly different between the three groups (rapid 53 years (7), 28.99 kg/m(2) (3.30); maintainers 47 years (9), 30.90 kg/m(2) (2.95); recidivists 44 years (7), 34.84 kg/m(2) (1.92), both P<0.001).
conclusionsOlder subjects with lower BMIs were more likely to have a rapid and continuing weight loss in a 1-year dietary-based weight loss intervention. Different interventional approaches may be necessary for different ages and baseline BMIs and stratification prior to randomisation may be necessary to prevent confounding in weight loss trials.
Indexed as
Identifiers
25828627What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.