ReviewCurrent nutrition reports2020
Social Influences on Obesity: Current Knowledge, Emerging Methods, and Directions for Future Research and Practice.
Review in Current nutrition reports, 2020. 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
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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.
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.
- Sharing digital self-monitoring data with others to enhance long-term weight loss: A randomized controlled trial.Contemporary clinical trials · 2023Trial
- Understanding the selection of support partners in a behavioral weight loss program.Psychology & health · 2025Article
- Article
- National Survey on the Prevalence and Geospatial Variation of Body Fat Percentage Among Preschoolers - 31 PLADs, China, 2020.China CDC weekly · 2025Article
- Obesity indices and their sociodemographic, lifestyle, and social isolation correlates in a large Spanish working population.Frontiers in endocrinology · 2025Article
- Protocol of Randomized Controlled Community Trial (RCCT) for obesity management in Brazilian primary health care.BMC health services research · 2024Article
- Obesity contagion among classmates: Children's relation with each other regarding weight status, physical activity, and dietary intake.SSM - population health · 2024Article
- The Extract of Humulus japonicus Inhibits Lipogenesis and Promotes Lipolysis via PKA/p38 Signaling.Obesity facts · 2024Article
- Association of Place With Adolescent Obesity.JAMA pediatrics · 2023Article
- Contextualizing the Neural Vulnerabilities Model of Obesity.Nutrients · 2023Review
- Association of behavior pattern with overweight and obesity in South Korean adults-A multi correspondence analysis (KNHANES-2018-2020).PLOS global public health · 2023Article
- Increasing Trends in Obesity-Related Cardiovascular Risk Factors in Romanian Children and Adolescents-Retrospective Study.Healthcare (Basel, Switzerland) · 2022Article
- Targeted maximum likelihood estimation of causal effects with interference: A simulation study.Statistics in medicine · 2022Article
- Article
- Neural correlates of illness awareness in obesity: an exploratory pilot fMRI study.Frontiers in neurologyArticle
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
purpose of reviewIndividuals tend to be socially connected with those of similar weight and obesity status. To inform future research and intervention development, we reviewed recent literature examining social influences on weight with a focus on mechanisms of social influence, populations studied, and emerging analytical methods. RECENT
findingsSocial networks appear to influence weight gain and weight loss. It remains unclear what underlying mechanisms (e.g., social norms, social comparison, behavioral modeling) drive this relationship. Stochastic actor-oriented modeling is an important method in the field, but other work has leveraged natural experiment or randomized designs to study social influence. Future networks and obesity research should examine social influence mechanisms, focus on diverse populations across the life course, and carefully consider how to adequately control for competing factors of social selection and physical environments.
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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.