U.S. weight trends: a longitudinal analysis of an NIH-partnered dataset
Authors' conclusion
This evaluation of an NIH-partnered dataset suggests that patients are continuing to gain weight in the U.S. AoU represents a unique tool for obesity prediction, prevention, and treatment given its longitudinal nature and unique behavioral and genetic data.
Study context
- Population
- Patients aged 18–70 years in the NIH All of Us Research Program with ≥2 height and weight measurements within a 5-year period, 2008–2021; mean age 48.9 (±12.6) years, 60.5% female
- Participants
- 30,862 patients
- Outcome
- %TBW change from baseline to most recent BMI; prevalence of obesity and severe obesity
- Follow-up
- 5-year follow-up
Methodological detailslongitudinal electronic health record data, nationally representative dataset
- Longitudinal electronic health record data
- Nationally representative dataset
Main finding
As reported in the abstract
- Prevalence of obesity
- 37.4%
- Prevalence of severe obesity
- 20.7%
- Normal-weight BMI patients gaining ≥5% TBW
- 37.8%
- Overweight BMI patients gaining ≥5% TBW
- 33.1%
- Cohort losing ≥5% TBW
- Nearly 24%
- Severe obesity patients losing weight to BMI <30 kg/m²
- 6.5%
Observational data: associations, not effects.
Further findings
Predictors of %TBW change (multivariable linear regression)
- Male sex (weight loss), 95% CI −1.36 to −0.85
- −1.10%
- Non-Hispanic Asian race/ethnicity (weight loss), CI −2.44 to −0.94
- −1.69%
- T2D (weight loss), CI −1.95 to −1.22
- −1.58%
- Obstructive sleep apnea (weight gain), CI 1.40 to 2.19
- 1.80%
- Adjusted analyses
Original publication
U.S. weight trends: a longitudinal analysis of an NIH-partnered dataset. Int J Obes (Lond). Published 29 October 2024. doi:10.
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