Suppr超能文献

孕期吸烟与胎儿生长:加强评估的理由

Smoking in Pregnancy and Fetal Growth: The Case for More Intensive Assessment.

作者信息

Shisler Shannon, Eiden Rina D, Molnar Danielle S, Schuetze Pamela, Huestis Marilyn, Homish Gregory

机构信息

Research Institute on Addictions, State University of New York at Buffalo, Buffalo, NY.

Department of Child and Youth Studies, Brock University, St. Catharines, Canada.

出版信息

Nicotine Tob Res. 2017 May 1;19(5):525-531. doi: 10.1093/ntr/ntx018.

Abstract

INTRODUCTION

Many studies on prenatal tobacco exposure (PTE) effects have relied on single item retrospective measures of PTE. However, it is unclear how these single item measures may relate to more intensive maternal self-reports and to biological markers of maternal use and/or fetal exposure. It is also unclear whether these measures may be more valid predictors of fetal growth (gestational age, birthweight, head circumference, and birth length).

METHODS

Data were obtained from 258 women during their pregnancy. PTE was assessed by four methods: a single item question, a calendar-based self-report measure from each trimester of pregnancy, maternal salivary cotinine assays, and nicotine and metabolites in infant meconium. We hypothesized that the more intensive measures and biological assays would account for additional variance in birth outcomes, above and beyond the single item measure.

RESULTS

The single item self-report measure was not related to fetal growth. However, the more intensive calendar based self-report measure and the biological assays of PTE (ie, maternal salivary assays and infant meconium) were significant predictors of poor fetal growth, even with the single item measure in the model.

CONCLUSIONS

The negative effects of PTE on important child outcomes may be greatly underestimated in the literature as many studies use single item self-report measures to ascertain PTE. Whereas more intensive self-report measures or biological assays may be cost prohibitive in large scale epidemiological studies, using a combination of measures when possible should be considered given their superiority both identifying prenatal smokers and predicting poor fetal growth.

IMPLICATIONS

The present work underscores the importance of measurement issues when assessing associations between PTE and fetal growth. Results suggest that we may be greatly underestimating the negative effects of prenatal smoking on fetal growth and other important child outcomes if we rely solely on restricted single item self-report measures of prenatal smoking. Researchers should consider more intensive prospective self-report measures and biological assays as viable and superior alternatives to single item self-report measures.

摘要

引言

许多关于产前烟草暴露(PTE)影响的研究依赖于PTE的单项回顾性测量。然而,尚不清楚这些单项测量与更详尽的母亲自我报告以及母亲使用烟草和/或胎儿暴露的生物标志物之间有何关联。同样不清楚的是,这些测量是否可能是胎儿生长(孕周、出生体重、头围和出生身长)的更有效预测指标。

方法

从258名孕妇孕期收集数据。通过四种方法评估PTE:一个单项问题、基于日历的孕期各阶段自我报告测量、母亲唾液可替宁检测以及婴儿胎粪中的尼古丁和代谢物检测。我们假设,更详尽的测量方法和生物检测将解释出生结局中超出单项测量的额外变异。

结果

单项自我报告测量与胎儿生长无关。然而,更详尽的基于日历的自我报告测量以及PTE的生物检测(即母亲唾液检测和婴儿胎粪检测)是胎儿生长不良的显著预测指标,即便模型中包含单项测量。

结论

由于许多研究使用单项自我报告测量来确定PTE,PTE对儿童重要结局的负面影响在文献中可能被大大低估。虽然在大规模流行病学研究中,更详尽的自我报告测量或生物检测可能成本过高,但鉴于它们在识别产前吸烟者和预测胎儿生长不良方面的优势,应考虑尽可能结合多种测量方法。

启示

本研究强调了在评估PTE与胎儿生长之间的关联时测量问题的重要性。结果表明,如果我们仅依赖产前吸烟的受限单项自我报告测量,可能会大大低估产前吸烟对胎儿生长和其他儿童重要结局的负面影响。研究人员应考虑将更详尽的前瞻性自我报告测量和生物检测作为单项自我报告测量的可行且更优替代方法。

相似文献

引用本文的文献

1
Prenatal Substance Exposure.产前物质暴露
Annu Rev Dev Psychol. 2023 Dec;5(1):19-44. doi: 10.1146/annurev-devpsych-120621-043414. Epub 2023 Aug 4.
8
The effect of cigarette smoking on first-trimester crown-rump length.吸烟对孕早期头臀长的影响。
Australas J Ultrasound Med. 2022 Aug 23;26(1):21-25. doi: 10.1002/ajum.12313. eCollection 2023 Feb.

本文引用的文献

2
Changes in smoking patterns during pregnancy.孕期吸烟模式的变化。
Subst Use Misuse. 2013 May;48(7):513-22. doi: 10.3109/10826084.2013.787091. Epub 2013 Apr 12.
4
Prepregnancy body mass index, smoking during pregnancy, and infant birth weight.孕前体重指数、孕期吸烟与婴儿出生体重。
Ann Epidemiol. 2011 Jun;21(6):413-20. doi: 10.1016/j.annepidem.2010.11.012. Epub 2011 Mar 21.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验