Association between access to social service resources and cardiometabolic risk factors: a machine learning and multilevel modeling analysis

OBJECTIVES: Interest in linking patients with unmet social needs to area-level resources, such as food pantries and employment centres in one’s ZIP code, is growing. However, whether the presence of these resources is associated with better health outcomes is unclear. We sought to determine if area-...

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Detalles Bibliográficos
Autores principales: Berkowitz, Seth A, Basu, Sanjay, Venkataramani, Atheendar, Reznor, Gally, Fleegler, Eric W, Atlas, Steven J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429845/
https://www.ncbi.nlm.nih.gov/pubmed/30862634
http://dx.doi.org/10.1136/bmjopen-2018-025281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429845/
https://www.ncbi.nlm.nih.gov/pubmed/30862634
http://dx.doi.org/10.1136/bmjopen-2018-025281

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