Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-22T16:49:35.809Z Has data issue: false hasContentIssue false

Propensity score analysis of the association between maternal exposure to second-hand tobacco smoke and birth defects in Northwestern China

Published online by Cambridge University Press:  06 January 2022

Jing Li
Affiliation:
Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi province, 710061, China Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi province, 710061, China
Yujiao Du
Affiliation:
Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi province, 710061, China
Fengyi Qu
Affiliation:
Department of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi province, 710061, China
Hui Jing
Affiliation:
Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi province, 710061, China
Hong Yan
Affiliation:
Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi province, 710061, China
Shaonong Dang*
Affiliation:
Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi province, 710061, China
*
Corresponding author: Shaonong Dang, Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi province, 710061, China. Fax: 862982655730. Telephone: 86-13468779736. Email: [email protected]

Abstract

Previous studies have suggested that maternal active smoking can increase the risk of birth defects, but evidence on second-hand tobacco smoke (SHS) is limited. We aimed to assess the association between maternal exposure to SHS and birth defects in a Chinese population. The data were based on a large-scale cross-sectional survey conducted in Shaanxi Province, China. Considering the characteristics of survey design and the potential impact of confounding factors, we adopted propensity score matching (PSM) to match the SHS exposure group and the non-exposure group to attain a balance of the confounders between the two groups. Subsequently, conditional logistic regression was employed to estimate the effect of SHS exposure on birth defects. Furthermore, sensitivity analyses were conducted to verify the key findings. After nearest neighbor matching of PSM with a ratio of 2 and a caliper width of 0.03, there were 6,205 and 12,410 participants in the exposure and control group, respectively. Pregnant women exposed to SHS were estimated to be 58% more likely to have infants with overall birth defects (OR = 1.58, 95% CI: 1.30–1.91) and 75% more likely to have infants with circulatory system defects (OR = 1.75, 95% CI: 1.26–2.44). We also observed that the risk effect of overall birth defects had an increasing trend as the frequency of exposure increased. Additionally, sensitivity analyses suggested that our results had good robustness. These results indicate that maternal exposure to SHS likely increases the risk of overall birth defects, especially circulatory system defects, in Chinese offspring.

Type
Original Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

World Health Organization. Congenital anomalies 2020. Accessed 20 July, 2020. Available at: http://www.who.int/news-room/fact-sheets/detail/congenital-anomalies.Google Scholar
Ministry of Health in China. The report on prevention and treatment of birth defects in China 2012. Accessed 21 July, 2020. Available at: http://www.gov.cn/gzdt/att/att/site1/20120912/1c6f6506c7f811bacf9301.pdf.Google Scholar
Hackshaw, A, Rodeck, C, Boniface, S. Maternal smoking in pregnancy and birth defects: a systematic review based on 173 687 malformed cases and 11.7 million controls. Human Reproduction Update. 2011; 17(5), 589604.CrossRefGoogle ScholarPubMed
Lee, LJ, Lupo, PJ. Maternal smoking during pregnancy and the risk of congenital heart defects in offspring: a systematic review and metaanalysis. Pediatr Cardiol. 2013; 34(2), 398407.Google ScholarPubMed
Malik, S, Cleves, MA, Honein, MA, et al. Maternal smoking and congenital heart defects. Pediatrics. 2008; 121(4), e810816.CrossRefGoogle ScholarPubMed
Nicoletti, D, Appel, LD, Siedersberger Neto, P, Guimarães, GW, Zhang, L. Maternal smoking during pregnancy and birth defects in children: a systematic review with meta-analysis. Cad Saude Publica. 2014; 30(12), 24912529.CrossRefGoogle ScholarPubMed
World Health Organization. WHO global report on trends in prevalence of tobacco smoking 2000-2025,second, edition. edn. 2018).Google Scholar
Chun, L, Limin, W, Zhengjing, H, Zhenping, Z, Mei, Z, Xiao, Z. Survey of degree of passive smoking exposure and related risk awareness in adults in China. 2013 Chinese Journal of Epidemiology. 2017; 38(5), 572576.Google Scholar
Makadia, LD, Roper, PJ, Andrews, JO, Tingen, MS. Tobacco use and smoke exposure in children: new trends, harm, and strategies to improve health outcomes. Curr Allergy Asthma Rep. 2017; 17(8), 55.CrossRefGoogle ScholarPubMed
Raghuveer, G, White, DA, Hayman, LL, et al. Cardiovascular consequences of childhood secondhand tobacco smoke exposure: prevailing evidence, burden, and racial and socioeconomic disparities: a scientific statement from the american heart association. Circulation. 2016; 134(16), e336e359.CrossRefGoogle ScholarPubMed
Schick, S, Glantz, S. Philip morris toxicological experiments with fresh sidestream smoke: more toxic than mainstream smoke. Tob Control. 2005; 14(6), 396404.CrossRefGoogle Scholar
Hoyt, AT, Canfield, MA, Romitti, PA, et al. Associations between maternal periconceptional exposure to secondhand tobacco smoke and major birth defects. Am J Obstet Gynecol. 2016; 215(5), 613.e611613.e611.CrossRefGoogle ScholarPubMed
Meng, X, Sun, Y, Duan, W, Jia, C. Meta-analysis of the association of maternal smoking and passive smoking during pregnancy with neural tube defects. Int J Gynaecol Obstet. 2018; 140(1), 1825.CrossRefGoogle ScholarPubMed
Yang, J, Carmichael, SL, Canfield, M, Song, J, Shaw, GM. Socioeconomic status in relation to selected birth defects in a large multicentered US case-control study. Am J Epidemiol. 2008; 167(2), 145154.CrossRefGoogle Scholar
Desrosiers, TA, Lawson, CC, Meyer, RE, et al. Maternal occupational exposure to organic solvents during early pregnancy and risks of neural tube defects and orofacial clefts. Occup Environ Med. 2012; 69(7), 493499.Google ScholarPubMed
Zhang, X, Li, S, Wu, S, et al. Prevalence of birth defects and risk-factor analysis from a population-based survey in Inner Mongolia. China BMC Pediatr. 2012; 12(1), 125.CrossRefGoogle ScholarPubMed
Harris, BS, Bishop, KC, Kemeny, HR, Walker, JS, Rhee, E, Kuller, JA. Risk factors for birth defects. Obstet Gynecol Surv. 2017; 72(2), 123135.CrossRefGoogle ScholarPubMed
Baldacci, S, Gorini, F, Santoro, M, Pierini, A, Minichilli, F, Bianchi, F. Environmental and individual exposure and the risk of congenital anomalies: a review of recent epidemiological evidence. Epidemiol Prev. 2018; 42(3-4 Suppl 1), 134.Google ScholarPubMed
Patrick, AR, Schneeweiss, S, Brookhart, MA, et al. The implications of propensity score variable selection strategies in pharmacoepidemiology: an empirical illustration. Pharmacoepidemiol Drug Saf. 2011; 20(6), 551559.CrossRefGoogle Scholar
Rosenbaum PR, Rubin DB. THE CENTRAL ROLE OF THE PROPENSITY SCORE IN OBSERVATIONAL STUDIES FOR CAUSAL EFFECTS. Biometrika. (1983, 70(1):4155.CrossRefGoogle Scholar
Hullsiek, KH, Louis, TA. Propensity score modeling strategies for the causal analysis of observational data. Biostatistics. 2002; 3(2), 179193.CrossRefGoogle ScholarPubMed
Austin, PC. Some methods of propensity-Score matching had superior performance to others: results of an empirical investigation and monte carlo simulations. Biom J. 2009; 51(1), 171184.CrossRefGoogle ScholarPubMed
Flury, BK, Riedwyl, H. Standard distance in univariate and multivariate-analysis. Am Stat. 1986; 40(3), 249251.Google Scholar
DʼAgostino, RB. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med. 1998; 17(19), 22652281.Google ScholarPubMed
Ho, DE, Imai, K, King, G, Stuart, EA. Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Political Analysis. 2007; 15(3), 199236.CrossRefGoogle Scholar
Leonardi-Bee, J, Britton, J, Venn, A. Secondhand smoke and adverse fetal outcomes in nonsmoking pregnant women: a meta-analysis. Pediatrics. 2011; 127(4), 734741.CrossRefGoogle ScholarPubMed
Zheng, Z, Xie, G, Yang, T, Qin, J. Congenital malformations are associated with secondhand smoke among nonsmoking women: a meta-analysis. Birth. 2019; 46(2), 222233.CrossRefGoogle ScholarPubMed
Forest, S, Priest, S. Intrauterine tobacco smoke exposure and congenital heart defects. J Perinat Neonatal Nurs. 2016; 30(1), 5463, quiz E52.CrossRefGoogle ScholarPubMed
Deng, K, Liu, Z, Lin, Y, et al. Periconceptional paternal smoking and the risk of congenital heart defects: a case-control study. birth defects res a clin mol teratol. 2013, 97(4):210216.CrossRefGoogle Scholar
Hutchison, SJ, Glantz, SA, Zhu, BQ, et al. In-utero and neonatal exposure to secondhand smoke causes vascular dysfunction in newborn rats. J Am Coll Cardiol. 1998; 32(5), 14631467.CrossRefGoogle ScholarPubMed
Nelson, E, Jodscheit, K, Guo, Y. Maternal passive smoking during pregnancy and fetal developmental toxicity. part 1: gross morphological effects. Hum Exp Toxicol. 1999; 18(4), 252256.CrossRefGoogle ScholarPubMed
Hafström, O, Milerad, J, Sandberg, KL, Sundell, HW. Cardiorespiratory effects of nicotine exposure during development. Respir Physiol Neurobiol. 2005; 149(1-3), 325341.CrossRefGoogle ScholarPubMed
Lambers, DS, Clark, KE. The maternal and fetal physiologic effects of nicotine. Semin Perinatol. 1996; 20(2), 115126.CrossRefGoogle ScholarPubMed
Slotkin, TA. Cholinergic systems in brain development and disruption by neurotoxicants: nicotine, environmental tobacco smoke. organophosphates Toxicol Appl Pharmacol. 2004; 198(2), 132151.CrossRefGoogle Scholar
Garvey, DJ, Longo, LD. Chronic low level maternal carbon monoxide exposure and fetal growth and development. Biol Reprod. 1978; 19(1), 814.CrossRefGoogle ScholarPubMed
Longo, LD. The biological effects of carbon monoxide on the pregnant woman, fetus, and newborn infant. Am J Obstet Gynecol. 1977; 129(1), 69103.CrossRefGoogle Scholar
Bhatnagar, A. Cardiovascular pathophysiology of environmental pollutants. Am J Physiol Heart Circ Physiol. 2004; 286(2), H479485.CrossRefGoogle ScholarPubMed
Zhang, L, Zhang, Y, Li, Z, Ren, A, Liu, J, Ye, R. Maternal periconceptional body mass index and risk for neural tube defects: results from a large cohort study in China. J Matern Fetal Neonatal Med. 2021; 34(2), 274280.CrossRefGoogle ScholarPubMed
Supplementary material: File

Li et al. supplementary material

Li et al. supplementary material

Download Li et al. supplementary material(File)
File 49.2 KB