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空气污染、邻里及母亲层面的因素会改变吸烟对出生体重的影响:加拿大不列颠哥伦比亚省的一项多层次分析。

Air pollution, neighbourhood and maternal-level factors modify the effect of smoking on birth weight: a multilevel analysis in British Columbia, Canada.

作者信息

Erickson Anders C, Ostry Aleck, Chan Hing Man, Arbour Laura

机构信息

Division of Medical Sciences, University of Victoria, Medical Science Bld. Rm-104, University of Victoria, PO Box 1700 STN CSC, Victoria, V8W 2Y2, BC, Canada.

Department of Geography, University of Victoria, David Turpin Bldg. Rm-B203, University of Victoria, PO Box 1700 STN CSC, Victoria, V8W 2Y2, BC, Canada.

出版信息

BMC Public Health. 2016 Jul 16;16(1):585. doi: 10.1186/s12889-016-3273-9.

Abstract

BACKGROUND

Maternal smoking during pregnancy negatively impacts fetal growth, but the effect is not homogenous across the population. We sought to determine how the relationship between cigarette use and fetal growth is modified by the social and physical environment.

METHODS

Birth records with covariates were obtained from the BC Perinatal Database Registry (N = 232,291). Maternal smoking status was self-reported as the number of cigarettes smoked per day usually at the first prenatal care visit. Census dissemination areas (DAs) were used as neighbourhood-level units and linked to individual births using residential postal codes to assign exposure to particulate air pollution (PM) and neighbourhood-level attributes such as socioeconomic status (SES), proportion of post-secondary education, immigrant density and living in a rural place. Random coefficient models were used with cigarettes/day modeled with a random slope to estimate its between-DA variability and test cross-level interactions with the neighbourhood-level variables on continuous birth weight.

RESULTS

A significant negative and non-linear association was found between maternal smoking and birth weight. There was significant between-DA intercept variability in birth weight as well as between-DA slope variability of maternal smoking on birth weight of which 68 and 30 % respectively was explained with the inclusion of DA-level variables and their cross-level interactions. High DA-level SES had a strong positive association with birth weight but the effect was moderated with increased cigarettes/day. Conversely, heavy smokers showed the largest increases in birth weight with rising neighbourhood education levels. Increased levels of PM and immigrant density were negatively associated with birth weight, but showed positive interactions with increased levels of smoking. Older maternal age and suspected drug or alcohol use both had negative interactions with increased levels of maternal smoking.

CONCLUSION

Maternal smoking had a negative and non-linear dose-response association with birth weight which was highly variable between neighbourhoods and evidence of effect modification with neighbourhood-level factors. These results suggest that focusing exclusively on individual behaviours may have limited success in improving outcomes without addressing the contextual influences at the neighbourhood-level. Further studies are needed to corroborate our findings and to understand how neighbourhood-level attributes interact with smoking to affect birth outcomes.

摘要

背景

孕期母亲吸烟会对胎儿生长产生负面影响,但这种影响在人群中并不均匀。我们试图确定社会和物理环境如何改变吸烟与胎儿生长之间的关系。

方法

从卑诗省围产期数据库登记处获取带有协变量的出生记录(N = 232,291)。母亲的吸烟状况通过自我报告获得,通常是在首次产前检查时报告每天吸烟的数量。人口普查传播区域(DAs)被用作社区层面的单位,并通过住宅邮政编码与个体出生记录相链接,以确定个体接触颗粒物空气污染(PM)的情况以及社区层面的属性,如社会经济地位(SES)、高等教育比例、移民密度和居住在农村地区的情况。使用随机系数模型,将每天吸烟量建模为具有随机斜率,以估计其在不同DAs之间的变异性,并测试与社区层面变量在连续出生体重上的跨层次交互作用。

结果

发现母亲吸烟与出生体重之间存在显著的负向非线性关联。出生体重在不同DAs之间存在显著的截距变异性,母亲吸烟对出生体重的斜率在不同DAs之间也存在变异性,分别有68%和30%的变异性可通过纳入DA层面的变量及其跨层次交互作用来解释。高DA层面的SES与出生体重呈强正相关,但随着每天吸烟量的增加,这种影响会减弱。相反,随着社区教育水平的提高,重度吸烟者的出生体重增加幅度最大。PM水平和移民密度的增加与出生体重呈负相关,但与吸烟水平的增加呈现正交互作用。母亲年龄较大以及疑似药物或酒精使用与母亲吸烟水平的增加均存在负交互作用。

结论

母亲吸烟与出生体重之间存在负向非线性剂量反应关联,这种关联在不同社区之间差异很大,并且有证据表明存在社区层面因素的效应修正。这些结果表明,仅关注个体行为在不解决社区层面的背景影响的情况下,改善结局的成功率可能有限。需要进一步的研究来证实我们的发现,并了解社区层面的属性如何与吸烟相互作用以影响出生结局。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb3d/5080752/fc8ffb111e5e/12889_2016_3273_Fig1_HTML.jpg

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