ArticleJAMA pediatrics2018
Assessing Social Contagion in Body Mass Index, Overweight, and Obesity Using a Natural Experiment.
Article in JAMA pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The role of whole network analysis in understanding health behaviours: a systematic review of smoking, alcohol use, physical activity, and diet.Frontiers in public health · 2026Pooled it
- First-year college students' weight change is influenced by their randomly assigned roommates' BMI.PloS one · 2020Trial
- Familial Associations of Metabolic Syndrome and Its Interrelated Traits in Southwestern Indigenous Americans.The Journal of clinical endocrinology and metabolism · 2025Article
- Obesity contagion among classmates: Children's relation with each other regarding weight status, physical activity, and dietary intake.SSM - population health · 2024Article
- Barriers to Bariatric Surgery: a Mixed Methods Study Investigating Obstacles Between Clinic Contact and Surgery.Obesity surgery · 2023Article
- Association of Place With Adolescent Obesity.JAMA pediatrics · 2023Article
- Impact of built, social, and economic environments on adolescent obesity and related health behaviors.Obesity (Silver Spring, Md.) · 2023Article
- Heterogeneity in place effects on health: The case of time preferences and adolescent obesity.Economics and human biology · 2023Article
- Healthy microbiome - a mere idea or a sound concept?Physiological research · 2022Review
- Stepping up to the Canadian opioid crisis: a longitudinal analysis of the correlation between socioeconomic status and population rates of opioid-related mortality, hospitalization and emergency department visits (2000-2017).Health promotion and chronic disease prevention in Canada : research, policy and practice · 2022Article
- Relation of social network support to child health behaviors among children in treatment for overweight/obesity.Eating and weight disorders : EWD · 2022Article
- Exploring a theory of change: Are increases in parental empowerment associated with healthier weight-related parenting practices?Social science & medicine (1982) · 2022Article
- Social sampling and expressed attitudes: Authenticity preference and social extremeness aversion lead to social norm effects and polarization.Psychological review · 2022Article
- Overweight and obesity by school socioeconomic composition and adolescent socioeconomic status: a school-based study.BMC public health · 2021Article
- Estimating the impact of state cigarette tax rates on smoking behavior: Addressing endogeneity using a natural experiment.Drug and alcohol dependence · 2021Article
- Exposure to new smoking environments and individual-level cigarette smoking behavior: Insights from exogenous assignment of military personnel.Social science & medicine (1982) · 2021Article
- Adolescent Time and Risk Preferences: Measurement, Determinants and Field Consequences.Journal of economic behavior & organization · 2021Article
- The social nature of mitochondria: Implications for human health.Neuroscience and biobehavioral reviews · 2021Review
- The impact of state policies for school-based BMI/fitness assessments on children's BMI outcomes in rural versus urban schools: Evidence from a natural experiment.Preventive medicine · 2020Article
- The NEW Keiki Program Reduces BMI z-scores Among Overweight and Obese Children and BMI Among Their Adult Caregivers in Hawai'i.Hawai'i journal of health & social welfare · 2020Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
2 authors.
Funding
Abstract
Importance: Little is known about whether the substantial clustering of obesity and overweight within social and geographic networks results from causal pathways, such as social contagion and shared environments, or from self-selection. Objectives: This study aimed to determine whether exposure to communities with higher rates of obesity increases the body mass index (BMI) of individuals, calculated as weight in kilograms divided by height in meters squared, and their risk of being overweight or obese, and whether social contagion, shared environments, or self-selection can account for identified differences. Design, Setting, and Participants: This natural experiment study used the routine assignment of military service members to installations as a source of exogenous variation in exposure to communities with higher vs lower rates of obesity. The study, which used data collected by the Military Teenagers' Environments, Exercise, and Nutrition Study, examined families from 38 military installations around the United States to determine if individuals had higher BMI and greater odds of overweight and obesity when assigned to installations in counties with higher rates of obesity. The study also examined if the relationship persisted after controlling for shared built environments. The participants included 1 parent and 1 child aged 12 or 13 years from 1519 families of Army-enlisted personnel. Data analysis was completed from November 2016 to October 2017. Exposures: Adult obesity rate in the county where the assigned installation of the service member was located. Time at installation and location of residence (on-installation vs off-installation) were used to measure the degree of exposure. Main Outcomes and Measures: For parents, outcomes were BMI, overweight/obesity (BMI, ≥25) and obesity (BMI, ≥30). For children, outcomes were BMI z score, overweight/obesity (BMI percentile for age and sex, ≥85), and obesity (BMI percentile for age and sex, ≥95). These outcomes were based on self-reports for parents, self-reports and parent reports for all children, and anthropometric measurements for a subsample of children. Results: Members of 1519 families participated, including 1314 adults (of whom 740, or 56%, were fathers) and 1111 children (of whom 576, or 52%, were boys); anthropometric measurements were performed on 458 children. The sample was 40% white, 22% black, 24% Hispanic, and 14% other races/ethnicities. A 1-percentage point higher county obesity rate was associated with a higher BMI (a difference of 0.08; 95% CI, 0.02-0.13) and greater odds of obesity (adjusted odds ratio [aOR], 1.05; 95% CI, 1.02-1.08) in parents, and a higher BMI z score (0.01; 95% CI, 0.003-0.02) and greater odds of overweight/obesity (aOR, 1.04; 95% CI, 1.01-1.06) in children. The evidence supported stronger associations among families with more time at installation and off-installation residence. Associations persisted even after controlling for shared built environments. Conclusions and Relevance: Exposure to counties with higher rates of obesity was associated with higher BMI and higher odds of overweight and/or obesity in parents and children. There was no evidence to support self-selection or shared built environments as possible explanations, which suggests the presence of social contagion in obesity.
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