The Forcing Factors That Predict Obesity: A Cross-Sectional Multilevel Machine Learning Model of US County-Level Prevalence.

Pronk NP, Wang S, Woodard C, Arena R

DOI: 10.1002/oby.70283
Published: 2026 Aug 28
Container: Obesity (Silver Spring, Md.)
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/oby.70283,
  title = {The Forcing Factors That Predict Obesity: A Cross-Sectional Multilevel Machine Learning Model of US County-Level Prevalence.},
  author = {Pronk NP and Wang S and Woodard C and Arena R},
  year = {2026},
  journal = {Obesity (Silver Spring, Md.)},
  doi = {10.1002/oby.70283},
  url = {https://doi.org/10.1002/oby.70283}
}

RIS

TY  - JOUR
TI  - The Forcing Factors That Predict Obesity: A Cross-Sectional Multilevel Machine Learning Model of US County-Level Prevalence.
AU  - Pronk NP
AU  - Wang S
AU  - Woodard C
AU  - Arena R
PY  - 2026
JO  - Obesity (Silver Spring, Md.)
DO  - 10.1002/oby.70283
UR  - https://doi.org/10.1002/oby.70283
ER  -

APA

NP, P., S, W., C, W., & R, A. (2026). The Forcing Factors That Predict Obesity: A Cross-Sectional Multilevel Machine Learning Model of US County-Level Prevalence.. Obesity (Silver Spring, Md.). https://doi.org/10.1002/oby.70283

Source records

pubmed · retrieved 2026-09-24T19:29:41.657Z