Multiple Social Demographics and Disparities in Smoking Cessation During Pregnancy in the United States, 2016–2022: An Intersectional Analytic Framework

<b>Objectives.</b> To examine how multiple social demographics shape disparities in smoking cessation during pregnancy in an intersectional analytic framework. <b>Methods.</b> We analyzed US National Vital Statistics System (2016-2022) data on 588 435 primiparous women with prepregnancy smoking. We constructed 192 intersectional strata to represent contexts defined by race/ethnicity, education, marital status, insurance status, and immigration status. We conducted a multilevel analysis of individual heterogeneity and discriminatory accuracy to estimate intersectional inequities in smoking cessation during pregnancy, predict cessation prevalence across strata, and assess the extent to which disparities were attributable to additive or interaction effects. <b>Results.</b> Smoking cessation during pregnancy prevalence ranged from 27.2% to 89.4% across strata. Differences between intersectional strata explained 11.9% of the variation in smoking cessation, with educational level contributing most. Of the between-strata variation, 93.9% was explained by additive effects, whereas 6.1% was attributable to interaction effects. <b>Conclusions.</b> Significant disparities in pregnancy smoking cessation are linked to multiple social demographics, highlighting the need for universal interventions paired with tailored support for disadvantaged groups to advance maternal health equity. (<i>Am J Public Health</i>. 2025;115(11):1922-1932. https://doi.org/10.2105/AJPH.2025.308237).

Authors

Institutions

Publication Details

Journal
American Journal of Public Health
Published
2025-09-18
DOI
https://doi.org/10.2105/ajph.2025.308237
Primary Topic
Smoking Behavior and Cessation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multiple Social Demographics and Disparities in Smoking Cessation During Pregnancy in the United States, 2016–2022: An Intersectional Analytic Framework

Carmen Lim, Xiaolin Xu, Rodrigo M. Carrillo‐Larco, Yangyang Cheng
American Journal of Public Health
Smoking Behavior and Cessation
article

Multiple Social Demographics and Disparities in Smoking Cessation During Pregnancy in the United States, 2016–2022: An Intersectional Analytic Framework

Carmen Lim, Xiaolin Xu, Rodrigo M. Carrillo‐Larco, Yangyang Cheng
article en

Abstract

<b>Objectives.</b> To examine how multiple social demographics shape disparities in smoking cessation during pregnancy in an intersectional analytic framework. <b>Methods.</b> We analyzed US National Vital Statistics System (2016-2022) data on 588 435 primiparous women with prepregnancy smoking. We constructed 192 intersectional strata to represent contexts defined by race/ethnicity, education, marital status, insurance status, and immigration status. We conducted a multilevel analysis of individual heterogeneity and discriminatory accuracy to estimate intersectional inequities in smoking cessation during pregnancy, predict cessation prevalence across strata, and assess the extent to which disparities were attributable to additive or interaction effects. <b>Results.</b> Smoking cessation during pregnancy prevalence ranged from 27.2% to 89.4% across strata. Differences between intersectional strata explained 11.9% of the variation in smoking cessation, with educational level contributing most. Of the between-strata variation, 93.9% was explained by additive effects, whereas 6.1% was attributable to interaction effects. <b>Conclusions.</b> Significant disparities in pregnancy smoking cessation are linked to multiple social demographics, highlighting the need for universal interventions paired with tailored support for disadvantaged groups to advance maternal health equity. (<i>Am J Public Health</i>. 2025;115(11):1922-1932. https://doi.org/10.2105/AJPH.2025.308237).

American Journal of Public HealthVol. 115(11)
National Health and Medical Research Council (AU)
Openalex Percentile: Top 68%
Smoking Behavior and Cessation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.