Obesity

US State-Level Prevalence of Adult Obesity by Race and Ethnicity From 1990 to 2022 and Forecasted to 2035

JAMAPublished Modelling study of obesity prevalence with forecasts

Authors' conclusion

While there are large differences by race and ethnicity, sex, age, and state, the prevalence of obesity is high and forecasted to continue increasing for all groups.

Study context

Population
US adults (≥20 years), by race and ethnicity, state, sex and age; NHANES measured BMI, BRFSS and Gallup Daily Survey self-reported data
Participants
11,315,421 survey participants
Outcome
Obesity prevalence (BMI ≥30)
Follow-up
1990–2022, forecast to 2035
Methodological detailsspatiotemporal gaussian process regression, ensemble of annualized rate of change and meta-regression bayesian spline models, bias-corrected self-reported BMI
  • Spatiotemporal gaussian process regression
  • Ensemble of annualized rate of change and meta-regression bayesian spline models
  • Bias-corrected self-reported BMI

Main finding

As reported in the abstract

Adult obesity prevalence, US

Adults with obesity, 2022

107 (95% UI, 101-113) million; 42.5% (95% UI, 40.2%-45.0%)

Adults with obesity, 1990

34.7 (95% UI, 31.1-38.3) million; 19.3% (95% UI, 17.3%-21.3%)

Adults with obesity, projected 2035

126 (95% UI, 118-134) million; 46.9% (95% UI, 43.9%-49.9%)

Further findings

Age-standardized prevalence by race and ethnicity and sex · 2022

Lowest: non-Hispanic White males
40.1% (95% UI, 37.8%-42.5%)
Highest: non-Hispanic Black females
56.9% (95% UI, 54.1%-59.9%)

State, race/ethnicity and age differences

Prevalence highest in Midwestern and Southern states; within-state disparities by race and ethnicity larger for females than males
Prevalence highest among middle-aged adults, with large increases at the youngest adult ages, especially for females

Original publication

US State-Level Prevalence of Adult Obesity by Race and Ethnicity From 1990 to 2022 and Forecasted to 2035. JAMA. Published 17 March 2026. doi:10.1001/jama.2025.26817

Composed by AI from the published abstract and checked against it. How Briefs are made →

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