SynthesisJournal of the Academy of Nutrition and Dietetics2012
Rate of weight loss can be predicted by patient characteristics and intervention strategies.
Synthesis in Journal of the Academy of Nutrition and Dietetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dose-response effects of exercise and caloric restriction on visceral adiposity in overweight and obese adults: a systematic review and meta-analysis of randomised controlled trials.British journal of sports medicine · 2023Pooled it
- Depression and weight loss trajectories during an integrated behavioral intervention: Within-treatment analysis of the RAINBOW trial.PloS one · 2025Trial
- Trial
- Web-based exercise versus supervised exercise for decreasing visceral adipose tissue in older adults with central obesity: a randomized controlled trial.BMC geriatrics · 2020Trial
- Effectiveness of a tailor-made weight loss intervention in primary care.European journal of nutrition · 2014Trial
- A Narrative Review of Weight Management Strategies: From Lifestyle Interventions to Emerging Pharmacotherapies.Journal of obesity · 2026Review
- Uncovering key factors in weight loss effectiveness through machine learning.International journal of obesity (2005) · 2025Observational
- Review
- Synergistic effects of Mediterranean diet combined with phytosterol-based supplements and omega-3 fatty acids on lipid profiles: a pilot study in menopausal women.Frontiers in nutrition · 2025Article
- Effectiveness of a Food Education Program for healthcare workers: a pilot study in a Total Worker Health© approach.Frontiers in public health · 2025Article
- Case report on the marathon preparation of two middle-aged women aiming for a 4-hour finish.Frontiers in physiology · 2025Article
- The Impact of Tobacco Use on Weight Loss During a Peer-Led Healthy Lifestyle Intervention for People With Serious Mental Illness Living in Permanent Supportive Housing.Research on social work practice · 2024Article
- Identifying erroneous height and weight values from adult electronic health records in the All of Us research program.Journal of biomedical informatics · 2024Article
- Behavioral and Psychological Factors Affecting Weight Loss Success.Current obesity reports · 2023Review
- Nutritional Considerations in Celiac Disease and Non-Celiac Gluten/Wheat Sensitivity.Nutrients · 2023Review
- High-intensity interval training prevents muscle mass loss in overweight Chilean young adults during a hypocaloric-Mediterranean diet: a randomized trial.Frontiers in nutrition · 2023Article
- Predicting weight loss success on a new Nordic diet: an untargeted multi-platform metabolomics and machine learning approach.Frontiers in nutrition · 2023Article
- Article
- Clinical Use of the Edmonton Obesity Staging System for the Assessment of Weight Management Outcomes in People with Class 3 Obesity.Nutrients · 2022Article
- Achieving an Optimal Fat Loss Phase in Resistance-Trained Athletes: A Narrative Review.Nutrients · 2021Review
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
Abstract
backgroundAlthough dietary weight-loss counseling usually employs a 500 to 1,000 kcal/day energy deficit to induce weight loss of 0.5 to 1 kg/week, this rate of weight loss is rarely achieved in research settings. Biological factors, such as changes in metabolic rate, are partly responsible, but would only account for a small deviation from expected weight loss. There must be other factors, behavioral or related to study design and implementation, that affect the rate of weight loss observed.
objectiveTo examine factors that influence the rate of weight loss obtained in clinical studies.
designThirty-five weight-loss studies published between 1995 and 2009 were identified that used dietary counseling to induce weight loss in healthy subjects. Studies were included if they had a duration of at least 6 weeks, used a strategy to counsel subjects to reduce free-living energy intakes, and reported weight-loss data based on a completers analysis. Variables that were associated with the rate of weight loss among age, sex (percent female subjects), initial body weight, frequency of dietary counseling, placebo use, exercise level, study length, and prescribed energy deficit were examined using linear regression analysis.
resultsStudy length was negatively related to the rate of weight loss (P<0.0001), whereas subject age (P<0.002), subject age squared (P=0.0073), initial body weight (P=0.0003), frequency of dietary counseling (P=0.0197), and prescribed energy deficit (P<0.0001) were positively related to the rate of weight loss observed in clinical studies.
conclusionsThese findings provide a tool for investigators and clinical dietitians to predict the rate of weight loss that can be expected within a population given the age, initial body weight, frequency of dietary counseling, and energy deficit prescription. These data from clinical studies suggest that the rate of weight loss is greater in older and heavier subjects and with higher contact frequency and caloric restriction.
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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 OpenQuestion graph.