ReviewBMC medicine2013
Tackling overweight and obesity: does the public health message match the science?
Review in BMC medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses 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
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Is low body mass index a risk factor for semen quality? A PRISMA-compliant meta-analysis.Medicine · 2019Pooled it
- The impact of BMI on sperm parameters and the metabolite changes of seminal plasma concomitantly.Oncotarget · 2017Pooled it
- Epigenetics and human obesity.International journal of obesity (2005) · 2015Pooled it
- Men's reactions to receiving objective feedback on their weight, BMI and other health risk indicators.BMC public health · 2018Trial
- Policaptil Gel Retard significantly reduces body mass index and hyperinsulinism and may decrease the risk of type 2 diabetes mellitus (T2DM) in obese children and adolescents with family history of obesity and T2DM.Italian journal of pediatrics · 2015Trial
- Review
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- Trends in Energy Imbalance Gap and Body Weight Status in the Japanese Adult Population: A System Dynamics Approach.Journal of epidemiology · 2021Article
- Efficacy and acceptability of a pilot dietary intervention focusing on self-compassion, goal-setting and self-monitoring.Public health nutrition · 2020Article
- Regulating the Fast-Food Landscape: Canadian News Media Representation of the Healthy Menu Choices Act.International journal of environmental research and public health · 2019Article
- The future burden of obesity in Canada: a modelling study.Canadian journal of public health = Revue canadienne de sante publique · 2019Article
- Gene-nutrient interactions and susceptibility to human obesity.Genes & nutrition · 2017Review
- The impact of duration on effectiveness of exercise, the implication for periodization of training and goal setting for individuals who are overfat, a meta-analysis.Biology of sport · 2016Article
- Ethnographic methods for process evaluations of complex health behaviour interventions.Trials · 2016Article
- Calcium Sensing Receptor as a Novel Mediator of Adipose Tissue Dysfunction: Mechanisms and Potential Clinical Implications.Frontiers in physiology · 2016Review
- The Health at Every Size paradigm and obesity: missing empirical evidence may help push the reframing obesity debate forward.American journal of public health · 2015Article
- All roads bring to Rome: a different way for predicting success in the therapy of obesity through psychological features.Journal of endocrinological investigation · 2014Observational
- Energy Flux and its Role in Obesity and Metabolic Disease.European endocrinology · 2014Review
- Systems science and obesity policy: a novel framework for analyzing and rethinking population-level planning.American journal of public health · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the increasing understanding of the mechanisms relating to weight loss and maintenance, there are currently no validated public health interventions that are able to achieve sustained long-term weight loss or to stem the increasing prevalence of obesity in the population. We aimed to examine the models of energy balance underpinning current research about weight-loss intervention from the field of public health, and to determine whether they are consistent with the model provided by basic science. EMBASE was searched for papers published in 2011 on weight-loss interventions. We extracted details of the population, nature of the intervention, and key findings for 27 articles. DISCUSSION: Most public health interventions identified were based on a simple model of energy balance, and thus attempted to reduce caloric consumption and/or increase physical activity in order to create a negative energy balance. There appeared to be little consideration of homeostatic feedback mechanisms and their effect on weight-loss success. It seems that there has been a lack of translation between recent advances in understanding of the basic science behind weight loss, and the concepts underpinning the increasingly urgent efforts to reduce excess weight in the population. SUMMARY: Public health weight-loss interventions seem to be based on an outdated understanding of the science. Their continued failure to achieve any meaningful, long-term results reflects the need to develop intervention science that is integrated with knowledge from basic science. Instead of asking why people persist in eating too much and exercising too little, the key questions of obesity research should address those factors (environmental, behavioral or otherwise) that lead to dysregulation of the homeostatic mechanism of energy regulation. There is a need for a multidisciplinary approach in the design of future weight-loss interventions in order to improve long-term weight-loss success.
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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 OpenQuestion graph.