Intersectional inequities in the birthweight gap between twin and singleton births: A random effects MAIHDA analysis of 2012–2018 New York City birth data-Reference-Cited by-同舟云学术

Intersectional inequities in the birthweight gap between twin and singleton births: A random effects MAIHDA analysis of 2012–2018 New York City birth data

Published:2023-08 Issue: Volume:331 Page:116063
ISSN:0277-9536
Container-title:Social Science & Medicine
language:en
Short-container-title:Social Science & Medicine

Author:

Evans Clare R.^ORCID,Nieves Christina I.^ORCID,Erickson Natasha,Borrell Luisa N.^ORCID

Publisher

Elsevier BV

Subject

History and Philosophy of Science,Health (social science)

Reference65 articles.

1. Low birthweight among US h ispanic/latino subgroups: the effect of maternal foreign-born status and education;Acevedo-Garcia;Soc. Sci. Med.,2007

2. Racial discrimination and adverse birth outcomes: an integrative review;Alhusen;J. Midwifery Wom. Health,2016

3. Racial/ethnic inequities in low birth weight and preterm birth: the role of multiple forms of stress;Almeida;Matern. Child Health J.,2018

4. Intersectional inequalities in industrial air toxics exposure in the United States;Alvarez;Health Place,2022

5. Intersectional environmental justice and population health inequalities: a novel approach;Alvarez;Soc. Sci. Med.,2021

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Life course financial mobility and later-life memory function and decline by gender, and race and ethnicity: an intersectional analysis of the US KHANDLE and STAR cohort studies;The Lancet Healthy Longevity;2024-08

2. The Regulatory Landscape of Biobanks In Europe: From Accreditation to Intellectual Property;Current Genomics;2024-07-30

3. The clustering effects of current smoking status, overweight/obesity, and physical inactivity with all-cause and cause-specific mortality risks in U.S. adults;Preventive Medicine Reports;2024-06

4. Clarifications on the intersectional MAIHDA approach: A conceptual guide and response to Wilkes and Karimi (2024);Social Science & Medicine;2024-06

5. A tutorial for conducting intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA);SSM - Population Health;2024-06