More schooling is associated with lower hemoglobin A1c at the high-risk tail of the distribution: an unconditional quantile regression analysis

被引：0

作者：

Jillian Hebert ^{[1
]}

Amanda M. Irish ^{[1
]}

Aayush Khadka ^{[1
]}

Abigail Arons ^{[2
]}

Alicia R. Riley ^{[3
]}

Elbert S. Huang ^{[4
]}

Anusha M. Vable ^{[1
]}

机构：

[1] University of California,Department of Family and Community Medicine

[2] University of California,Departments of Internal Medicine and Pediatrics

[3] San Francisco,Department of Sociology

[4] University of California,Departments of Medicine and Public Health Sciences

[5] Santa Cruz,The Philip R. Lee Institute of Health Policy Studies

[6] University of Chicago,undefined

[7] University of California,undefined

[8] San Francisco,undefined

来源：

关键词：

Unconditional quantile regression; Distributional effects; Effect heterogeneity; Diabetes; US Health and Retirement Study (HRS);

D O I：

10.1186/s12889-025-23063-x

中图分类号：

学科分类号：

摘要：

引用