Cited by 201Prenatal Substance Exposure EffectsSmoking Behavior and CessationNeuroscience of respiration and sleep

The DOI matches its Crossref record; 47 of the 48 references it cites were found in a registry or an index; none of the 8 sources its claims cite is checked for support yet.

Maternal Smoking Before and During Pregnancy and the Risk of Sudden Unexpected Infant Death

Open access

Abstract

OBJECTIVES: Maternal smoking during pregnancy is an established risk factor for sudden unexpected infant death (SUID). Here, we aim to investigate the effects of maternal prepregnancy smoking, reduction during pregnancy, and smoking during pregnancy on SUID rates. METHODS: We analyzed the Centers for Disease Control and Prevention Birth Cohort Linked Birth/Infant Death Data Set (2007–2011: 20 685 463 births and 19 127 SUIDs). SUID was defined as deaths at <1 year of age with International Classification of Diseases, 10th Revision codes R95 (sudden infant death syndrome), R99 (ill-defined or unknown cause), or W75 (accidental suffocation or strangulation in bed). RESULTS: SUID risk more than doubled (adjusted odds ratio [aOR] = 2.44; 95% confidence interval [CI] 2.31–2.57) with any maternal smoking during pregnancy and increased twofold between no smoking and smoking 1 cigarette daily throughout pregnancy. For 1 to 20 cigarettes per day, the probability of SUID increased linearly, with each additional cigarette smoked per day increasing the odds by 0.07 from 1 to 20 cigarettes; beyond 20 cigarettes, the relationship plateaued. Mothers who quit or reduced their smoking decreased their odds compared with those who continued smoking (reduced: aOR = 0.88, 95% CI 0.79–0.98; quit: aOR = 0.77, 95% CI 0.67–0.87). If we assume causality, 22% of SUIDs in the United States can be directly attributed to maternal smoking during pregnancy. CONCLUSIONS: These data support the need for smoking cessation before pregnancy. If no women smoked in pregnancy, SUID rates in the United States could be reduced substantially.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Maternal smoking during pregnancy more than doubled the risk of sudden unexpected infant death (SUID) in 2007–2011 US linked birth/infant death data, with a dose-response relationship up to 20 cigarettes per day. Quitting or reducing smoking lowered risk, and assuming causality, about 22% of US SUID cases were attributable to prenatal smoking.

Key findings

  • Any maternal smoking during pregnancy was associated with more than doubled SUID risk (adjusted odds ratio [aOR] = 2.44; 95% CI 2.31–2.57); the aOR was similar in the subset with cigarette-count data (aOR = 2.40; 95% CI 2.23–2.59).
  • Risk increased with daily cigarette use: smoking 1 cigarette/day throughout pregnancy was associated with aOR = 1.98 (95% CI 1.73–2.28), and from 1 to 20 cigarettes/day each additional cigarette increased odds by 0.07 (aOR = 0.07 × daily cigarettes + 1.91), with a plateau beyond 20 cigarettes/day.
  • Compared with continued smokers, reducing smoking was associated with aOR = 0.88 (95% CI 0.79–0.98) and quitting with aOR = 0.77 (95% CI 0.67–0.87). Compared with never smoking, prepregnancy smoking only was aOR = 1.47 (95% CI 1.16–1.87), smoking only during pregnancy was aOR = 2.22 (95% CI 1.15–4.29), and smoking before and during pregnancy was aOR = 2.52 (95% CI 2.25–2.83).
  • Assuming causality, an estimated ~800 infants per year, or 22% of all US SUID cases, were attributed to maternal smoking during pregnancy; dose-effect relationships were found for R95, R99, and W75, but not for non-SUID causes P07.2, P07.3, and P01.1.

Methods

  • Retrospective cross-sectional cohort study using the CDC Birth Cohort Linked Birth/Infant Death Data Set for 2007–2011: 20,685,463 births and 19,127 SUIDs; SUID was defined as death at <1 year with ICD-10 codes R95, R99, or W75. Prepregnancy smoking analyses used 2011 data only (3,134,781 births, 2,585 SUIDs).
  • Logistic regression and generalized additive models were adjusted for maternal and paternal race/ethnicity, age, marital status, education, live birth order, prenatal visits, gestational length, delivery method, infant sex, and birth weight; smoking was modeled dichotomously, by trimester, by daily cigarette count, and as quit/reduce/continue categories.
  • Population-attributable risk was estimated by using the logistic regression model with all mothers artificially set as nonsmokers and assuming causation.

Limitations

  • Stated by the authors: smoking estimates are likely conservative because the data set lacks environmental smoke exposure during pregnancy or postpartum, including paternal smoking; smoking is self-reported and may be underestimated or denied; only 60% of births had data on number of cigarettes smoked, though missingness was related to the 2003 birth certificate revision rather than maternal characteristics.
  • Stated by the authors: there may be selection bias in the reduction/quit groups because those who reduced started at a higher average number of cigarettes in the first trimester, whereas those who quit smoked fewer cigarettes in the first trimester.
  • Evident from the text: the study is observational and cross-sectional, so causality is not established; the 22% attributable fraction explicitly assumes causality, and the authors note possible residual confounding, especially by socioeconomic factors.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1542/peds.2018-3325

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

25 Own result · 5 Own method · 5 Own interpretation · 2 Check pending · 2 No full text of the sources · 1 Not checked yet

Verify all 3 references — free account

Show all 32 claims

  • It may state two separate claims as one. 7
  • Probably not a substantial claim. 3
8 of 8
  • The authors state this as an assumption.

    Maternal smoking during pregnancy causally affects SUID risk.

    “Assuming causality, an estimated ∼800 infants per year, or 22% of all SUID cases in the United States, were attributed to maternal smoking during pregnancy.”
    “If causality is assumed in our model, we estimate that ∼22% of all US SUID cases are directly attributable to smoking”
    “By assuming causation, the difference between the result of this model and actual SUID rates is the proportion of deaths that can be attributed to smoking.”
  • The paper relies on this without support.

    The set of covariates used in adjusted analyses adequately controls for confounding of the maternal smoking–SUID association.

    “We used regression adjustment of potential confounding variables to decrease bias and to improve the precision of estimates in the smoking-SUID association.”
    “On the basis of these calculations, we used the following covariates in all adjusted analyses: mother’s and father’s race and/or ethnicity/Hispanic origin, mother’s and father’s age, mother’s marital status, mother’s education, live birth order, number of prenatal visits, gestational length (weeks), delivery method (vaginal or cesarean), infant sex, and birth weight.”
  • The paper relies on this without support.

    The CDC Birth Cohort Linked Birth/Infant Death Data Set accurately records SUID deaths and maternal smoking.

    “We conducted a retrospective, cross-sectional study to assess the relationship between SUID and self-reported maternal smoking before and during pregnancy, using data from the Centers for Disease Control and Prevention (CDC) Birth Cohort Linked Birth/Infant Death Data Set for births between 2007 and 2011.”
    “We defined a SUID case as an infant (<365 days old) death with the following ICD-10 codes: R95 (SIDS), R99 (ill-defined and unknown cause), or W75 (accidental suffocation or strangulation in bed).”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

1 of 1

Citations

Cites

Cited by

Sorted by citations

See all 201

Metadata

Authors
Anderson, T. M., Lavista Ferres, J. M., Ren, S. Y., Moon, R. Y., Goldstein, R. D., Ramirez, J.-M., & Mitchell, E. A.
Affiliations
  • Seattle Children's Research Institute (US)
  • Microsoft, Redmond, Washington;
  • Microsoft (United States) (US)
  • University of Virginia (US)
  • Boston Children's Hospital (US)
  • University of Washington (US)
  • University of Auckland (NZ)
Venue
Pediatrics
Published
2019-04-01
Volume
143
Issue
4
ISSN
  • 0031-4005 (ISSN-L)
  • 1098-4275
OpenAlex
W2921964186
Cited by
201
References
48
Citations by year
2026: 14 · 2025: 24 · 2024: 33 · 2023: 32 · 2022: 31 · 2021: 26 · 2020: 31 · 2019: 10
FWCI
25.30
Type
journal article
Language
en
Open access
Locations
  • PEDIATRICS (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion)
Funders
National Heart, Lung, and Blood Institute (R01HL126523)
Topics
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Substance Exposure Effects
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Smoking Behavior and Cessation
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
Keywords
sudden unexpected infant death, maternal smoking, smoking during pregnancy, smoking cessation, sudden infant death syndrome, infant mortality risk, attributable fraction
MeSH terms
Centers for Disease Control and Prevention, U.S., Female, Humans, Infant, Infant, Newborn, Maternal Behavior, Pregnancy, Pregnancy Outcome, Retrospective Studies, Smoking, Sudden Infant Death, United States, Incidence, Confidence Intervals, Odds Ratio, Databases, Factual, Smoking Cessation, Risk Assessment, Needs Assessment, Self Report

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-11-11, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-11 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review