Drinking and smoking patterns during pregnancy: Development of group-based trajectories in the Safe Passage Study

the PASS Network

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Precise identification of drinking and smoking patterns during pregnancy is crucial to better understand the risk to the fetus. The purpose of this manuscript is to describe the methodological approach used to define prenatal drinking and smoking trajectories from a large prospective pregnancy cohort, and to describe maternal characteristics associated with different exposure patterns. In the Safe Passage Study, detailed information regarding quantity, frequency, and timing of exposure was self-reported up to four times during pregnancy and at 1 month post-delivery. Exposure trajectories were developed using data from 11,692 pregnancies (9912 women) where pregnancy outcome was known. Women were from three diverse populations: white (23%) and American Indian (17%) in the Northern Plains, US, and mixed ancestry (59%) in South Africa (other/not specified [1%]). Group-based trajectory modeling was used to identify 5 unique drinking trajectories (1 none/minimal, 2 quitting groups, 2 continuous groups) and 7 smoking trajectories (1 none/minimal, 2 quitting groups, 4 continuous groups). Women with pregnancies assigned to the low- or high-continuous drinking groups were less likely to have completed high school and were more likely to have enrolled in the study in the third trimester, be of mixed ancestry, or be depressed than those assigned to the none/minimal or quit-drinking groups. Results were similar when comparing continuous smokers to none/minimal and quit-smoking groups. Further, women classified as high- or low-continuous drinkers were more likely to smoke at moderate-, high-, and very high-continuous levels, as compared to women classified as non-drinkers and quitters. This is the first study of this size to utilize group-based trajectory modeling to identify unique prenatal drinking and smoking trajectories. These trajectories will be used in future analyses to determine which specific exposure patterns subsequently manifest as poor peri- and postnatal outcomes.

Original languageEnglish (US)
Pages (from-to)49-60
Number of pages12
JournalAlcohol
Volume62
DOIs
StatePublished - Aug 1 2017

Fingerprint

Drinking
pregnancy
smoking
Smoking
Trajectories
Pregnancy
Group
North American Indians
Third Pregnancy Trimester
Pregnancy Outcome
South Africa
Smoke
Fetus
Mothers
American Indian
Population
school

Keywords

  • Ethanol
  • Exposure patterns
  • Group-based trajectory modeling
  • Pregnancy
  • Prenatal exposure
  • Smoking

ASJC Scopus subject areas

  • Health(social science)
  • Biochemistry
  • Toxicology
  • Neurology
  • Behavioral Neuroscience

Cite this

Drinking and smoking patterns during pregnancy : Development of group-based trajectories in the Safe Passage Study. / the PASS Network.

In: Alcohol, Vol. 62, 01.08.2017, p. 49-60.

Research output: Contribution to journalArticle

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title = "Drinking and smoking patterns during pregnancy: Development of group-based trajectories in the Safe Passage Study",
abstract = "Precise identification of drinking and smoking patterns during pregnancy is crucial to better understand the risk to the fetus. The purpose of this manuscript is to describe the methodological approach used to define prenatal drinking and smoking trajectories from a large prospective pregnancy cohort, and to describe maternal characteristics associated with different exposure patterns. In the Safe Passage Study, detailed information regarding quantity, frequency, and timing of exposure was self-reported up to four times during pregnancy and at 1 month post-delivery. Exposure trajectories were developed using data from 11,692 pregnancies (9912 women) where pregnancy outcome was known. Women were from three diverse populations: white (23{\%}) and American Indian (17{\%}) in the Northern Plains, US, and mixed ancestry (59{\%}) in South Africa (other/not specified [1{\%}]). Group-based trajectory modeling was used to identify 5 unique drinking trajectories (1 none/minimal, 2 quitting groups, 2 continuous groups) and 7 smoking trajectories (1 none/minimal, 2 quitting groups, 4 continuous groups). Women with pregnancies assigned to the low- or high-continuous drinking groups were less likely to have completed high school and were more likely to have enrolled in the study in the third trimester, be of mixed ancestry, or be depressed than those assigned to the none/minimal or quit-drinking groups. Results were similar when comparing continuous smokers to none/minimal and quit-smoking groups. Further, women classified as high- or low-continuous drinkers were more likely to smoke at moderate-, high-, and very high-continuous levels, as compared to women classified as non-drinkers and quitters. This is the first study of this size to utilize group-based trajectory modeling to identify unique prenatal drinking and smoking trajectories. These trajectories will be used in future analyses to determine which specific exposure patterns subsequently manifest as poor peri- and postnatal outcomes.",
keywords = "Ethanol, Exposure patterns, Group-based trajectory modeling, Pregnancy, Prenatal exposure, Smoking",
author = "{the PASS Network} and Kimberly Dukes and Tara Tripp and Marian Willinger and Hein Odendaal and Elliott, {Amy J.} and Kinney, {Hannah C.} and Fay Robinson and Petersen, {Julie M.} and Cheryl Raffo and Dale Hereld and Coen Groenewald and Jyoti Angal and Gary Hankins and Larry Burd and Fifer, {William P.} and Myers, {Michael M.} and Hoffman, {Howard J.} and Lisa Sullivan and Hankins, {Gary DV} and Dukes, {Kimberly A.} and Sullivan, {Lisa M.} and Tara Tripp and Fay Robinson and Cheri Raffo and Petersen, {Julie M.} and Young, {Rebecca A.} and Cindy Mai and Elena Grillo and Travis Baker and Patti Folan and Gregory Toland and Michael Carmen and Kinney, {Hannah C.} and Haynes, {Robin L.} and Folkerth, {Rebecca D.} and Holm, {Ingrid A.} and Theonia Boyd and Paterson, {David S.} and Hanno Steen and Kyriacos Markianos and Drucilla Roberts and Broadbelt, {Kevin G.} and Goldstein, {Richard G.} and Nelsen, {Laura L.} and Jacob Cotton and Perri Jacobs and Elliott, {Amy J.} and Larry Burd and Jyoti Angal and Elizabeth Berg",
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