Zhengmin Qian, Bin Zhang, Shengwen Liang, Jing Wang, Shaoping Yang, Ke Hu, Edwin Trevathan, Rong Yang, Qijie Li, Louise H Flick, Ronghua Hu, Zhen Huang, Yimin Zhang, Shixiang Hu, Jing Wang, Longjiao Shen, Yuan Lu, Hui Peng, Yuzhen Yu, Li Yang, Wei Chen, Wenjin Liu, Wei Zhang
{"title":"武汉环境空气污染与不良妊娠结局","authors":"Zhengmin Qian, Bin Zhang, Shengwen Liang, Jing Wang, Shaoping Yang, Ke Hu, Edwin Trevathan, Rong Yang, Qijie Li, Louise H Flick, Ronghua Hu, Zhen Huang, Yimin Zhang, Shixiang Hu, Jing Wang, Longjiao Shen, Yuan Lu, Hui Peng, Yuzhen Yu, Li Yang, Wei Chen, Wenjin Liu, Wei Zhang","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Several recent studies have suggested that maternal\nexposures to air pollution and temperature extremes\nmight contribute to low birth weight (LBW),\npreterm birth (PTB), and other outcomes that can adversely\naffect infant health. At the time the current\nstudy began, most other studies had been conducted\nin the United States or Europe. Dr. Zhengmin Qian\nproposed to extend work he had done on ambient\nparticulate air pollution and daily mortality in\nWuhan, China (Qian et al. 2010), as part of the HEIsponsored\nPublic Health and Air Pollution in Asia\nprogram, to study adverse birth outcomes. Wuhan is\nthe capital city of Hubei province, has a large population\nof about 6.4 million within the urban study area,\nexperiences temperature extremes, and generally has\nhigher air pollution levels than those observed in the\nUnited States and Europe, thus providing a good opportunity\nto explore questions about air pollution\nand health.</p><p><strong>Approach: </strong>Qian and colleagues planned a cohort and nested\ncase–control design with four specific aims, examining\nwhether increased exposures to air pollutants\n(PM2.5, PM10, SO2, NO2, O3, and CO) during vulnerable\npregnancy periods were associated with\nincreased rates of PTB, LBW (<2500 g), or intrauterine\ngrowth retardation (IUGR, defined as having\na birth weight below the 10th percentile of singleton\nlive births in Wuhan) after adjusting for major risk\nfactors and whether the associations were confounded\nby copollutant exposures, affected by\nresidual confounding, or modified by temperature\nextremes, socioeconomic status (SES), or secondhand\nsmoke (SHS) exposure.\nThe cohort study included 95,911 births that\noccurred from June 10, 2011, to June 9, 2013, and\nmet typical prespecified inclusion criteria used in\nother birth outcome studies. The case–control\nstudy included 3146 cases (PTB, LBW, or both, but\nnot IUGR) and 4263 controls (matched to the cases\nby birth month) for whom investigators were able to\ncomplete home visits and questionnaires.\nThe investigators obtained air pollution and daily\nweather data for August 2010 to June 2013 from nine\nmonitoring stations representing background air pollution\nsites in seven Wuhan inner-city districts. Only\ntwo of these stations provided PM2.5 data. For the\ncohort study, the investigators assigned exposures to\nmothers according to the daily mean concentrations\nfrom the monitor nearest the residential community\nin which the mother lived at the time of the birth. For\nthe case–control study, they assigned exposures\nbased on the inverse distance weighted average of\ndaily mean concentrations from the three nearest\nmonitors, for all but PM2.5 for which the method was\nnot specified.\nThey also collected data on various factors that\nmight confound or modify the impact of the pollutants\non the adverse outcomes, including data collected\nin the cohort from mothers at the time of delivery\nand, in the case–control study, from questionnaires\nadministered to mothers. In the case–control study,\ncovariates representing SES (as indicated by the\nmother’s educational attainment and household income)\nand SHS exposures were of particular interest.\nThe primary statistical analyses of the pollutant\nassociations with PTB, LBW, and IUGR were conducted\nusing logistic regression models. In the\ncohort study, exposures during the pregnancy\nperiod of interest (full term, trimesters, and selected\nmonths) were included as continuous variables. In\nthe case–control study, the exposures were modeled\nas binary variables (i.e., above or below the\nmedian pollutant concentrations). Numerous sensitivity\nanalyses were conducted.</p><p><strong>Results and interpretation: </strong>Although originally planning a nested case–control\nstudy, the investigators encountered challenges that\nled them to analyze the cohort and case–control\nstudies using different ways of assigning exposures\nand characterizing them in their statistical models.\nThese decisions precluded direct comparisons\nbetween the sets of results, making it difficult to\nanswer the questions about residual confounding that\nnested case–control studies are designed to answer.\nThe odds ratios from the two study designs using different\nexposures also have different interpretations.\nStill, one can ask whether the sets of findings were\nqualitatively consistent with each other or with\nthose of similar studies. There were some similarities.\nBoth studies suggested that increased PM(2.5),\nPM(10), CO, and O(3) exposures over the full pregnancy\nwere associated with small increases in the odds of\nPTB (the case–control study also showed an association\nwith NO2) and that increased PM(2.5) exposures\nwere associated with significantly increased odds of\nLBW. However, most of the other pollutants had no\neffect on LBW, except CO in the cohort study and O(3)\nin the case–control study, both of which increased\nthe odds of LBW. The exposures over the entire pregnancy\nwere generally associated with decreased\nodds of IUGR. Adjustments for potential confounders\nwere greatest for the delivery covariates.\nThe investigators found no systematic association\nof any of these outcomes with particular trimesters\nor months, another result that differed from\nthose of some other studies. They found little evidence\nthat their main results were confounded or\nmodified by the presence of copollutants, although\nwith the exception of O3, most of the pollutants\nwere highly correlated, making it difficult to disentangle\nthe effects of individual pollutants.\nCould the two sets of data be analyzed in a more\ncomparable way, as in a standard nested case–control\nstudy? At the Committee’s request, the investigators\nreanalyzed the case–control data using the same\nexposures and models as in the cohort study. The\nresults were strikingly different from those using\nthe inverse distance weighted exposures, modeled\nas binary variables — the pollutants had either no\neffect or an apparent beneficial effect on PTB and\nLBW. The Committee was not convinced by the\nexplanations offered for these differences, leaving\nthe reasons for them unresolved.</p><p><strong>Conclusions: </strong>This study set out to answer important questions\nabout the effects of air pollution exposure on three\nmeasures of adverse birth outcomes — LBW, PTB,\nand IUGR — in a large cohort of mothers and newborns\nin Wuhan, China. Given the cohort size, high\npollution levels and temperatures, and detailed\ncovariate data, the investigators were well poised to\naddress these questions. They sought to pattern\ntheir work on other studies of birth outcomes, were\nvery responsive to Committee questions, and provided\nmany additional analyses and explanations.\nIn the Committee’s view, however, the study was\nunable to address with confidence several of its specific\naims. Most important, the differences in\nresults when the case–control data were analyzed\nwith different exposure metrics remain unexplained,\nraising concerns about the ability to draw\nconclusions from subsequent analyses assessing\nresidual confounding and effect modification by\ntemperature extremes, SES, and SHS exposure.\nConsequently, any individual findings from the\ncohort and case–control studies should be considered\nsuggestive rather than conclusive, and should\nbe interpreted carefully together.</p>","PeriodicalId":74687,"journal":{"name":"Research report (Health Effects Institute)","volume":" 189","pages":"1-65"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ambient Air Pollution and Adverse Pregnancy Outcomes in Wuhan, China.\",\"authors\":\"Zhengmin Qian, Bin Zhang, Shengwen Liang, Jing Wang, Shaoping Yang, Ke Hu, Edwin Trevathan, Rong Yang, Qijie Li, Louise H Flick, Ronghua Hu, Zhen Huang, Yimin Zhang, Shixiang Hu, Jing Wang, Longjiao Shen, Yuan Lu, Hui Peng, Yuzhen Yu, Li Yang, Wei Chen, Wenjin Liu, Wei Zhang\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Several recent studies have suggested that maternal\\nexposures to air pollution and temperature extremes\\nmight contribute to low birth weight (LBW),\\npreterm birth (PTB), and other outcomes that can adversely\\naffect infant health. At the time the current\\nstudy began, most other studies had been conducted\\nin the United States or Europe. Dr. Zhengmin Qian\\nproposed to extend work he had done on ambient\\nparticulate air pollution and daily mortality in\\nWuhan, China (Qian et al. 2010), as part of the HEIsponsored\\nPublic Health and Air Pollution in Asia\\nprogram, to study adverse birth outcomes. Wuhan is\\nthe capital city of Hubei province, has a large population\\nof about 6.4 million within the urban study area,\\nexperiences temperature extremes, and generally has\\nhigher air pollution levels than those observed in the\\nUnited States and Europe, thus providing a good opportunity\\nto explore questions about air pollution\\nand health.</p><p><strong>Approach: </strong>Qian and colleagues planned a cohort and nested\\ncase–control design with four specific aims, examining\\nwhether increased exposures to air pollutants\\n(PM2.5, PM10, SO2, NO2, O3, and CO) during vulnerable\\npregnancy periods were associated with\\nincreased rates of PTB, LBW (<2500 g), or intrauterine\\ngrowth retardation (IUGR, defined as having\\na birth weight below the 10th percentile of singleton\\nlive births in Wuhan) after adjusting for major risk\\nfactors and whether the associations were confounded\\nby copollutant exposures, affected by\\nresidual confounding, or modified by temperature\\nextremes, socioeconomic status (SES), or secondhand\\nsmoke (SHS) exposure.\\nThe cohort study included 95,911 births that\\noccurred from June 10, 2011, to June 9, 2013, and\\nmet typical prespecified inclusion criteria used in\\nother birth outcome studies. The case–control\\nstudy included 3146 cases (PTB, LBW, or both, but\\nnot IUGR) and 4263 controls (matched to the cases\\nby birth month) for whom investigators were able to\\ncomplete home visits and questionnaires.\\nThe investigators obtained air pollution and daily\\nweather data for August 2010 to June 2013 from nine\\nmonitoring stations representing background air pollution\\nsites in seven Wuhan inner-city districts. Only\\ntwo of these stations provided PM2.5 data. For the\\ncohort study, the investigators assigned exposures to\\nmothers according to the daily mean concentrations\\nfrom the monitor nearest the residential community\\nin which the mother lived at the time of the birth. For\\nthe case–control study, they assigned exposures\\nbased on the inverse distance weighted average of\\ndaily mean concentrations from the three nearest\\nmonitors, for all but PM2.5 for which the method was\\nnot specified.\\nThey also collected data on various factors that\\nmight confound or modify the impact of the pollutants\\non the adverse outcomes, including data collected\\nin the cohort from mothers at the time of delivery\\nand, in the case–control study, from questionnaires\\nadministered to mothers. In the case–control study,\\ncovariates representing SES (as indicated by the\\nmother’s educational attainment and household income)\\nand SHS exposures were of particular interest.\\nThe primary statistical analyses of the pollutant\\nassociations with PTB, LBW, and IUGR were conducted\\nusing logistic regression models. In the\\ncohort study, exposures during the pregnancy\\nperiod of interest (full term, trimesters, and selected\\nmonths) were included as continuous variables. In\\nthe case–control study, the exposures were modeled\\nas binary variables (i.e., above or below the\\nmedian pollutant concentrations). Numerous sensitivity\\nanalyses were conducted.</p><p><strong>Results and interpretation: </strong>Although originally planning a nested case–control\\nstudy, the investigators encountered challenges that\\nled them to analyze the cohort and case–control\\nstudies using different ways of assigning exposures\\nand characterizing them in their statistical models.\\nThese decisions precluded direct comparisons\\nbetween the sets of results, making it difficult to\\nanswer the questions about residual confounding that\\nnested case–control studies are designed to answer.\\nThe odds ratios from the two study designs using different\\nexposures also have different interpretations.\\nStill, one can ask whether the sets of findings were\\nqualitatively consistent with each other or with\\nthose of similar studies. 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The Committee was not convinced by the\\nexplanations offered for these differences, leaving\\nthe reasons for them unresolved.</p><p><strong>Conclusions: </strong>This study set out to answer important questions\\nabout the effects of air pollution exposure on three\\nmeasures of adverse birth outcomes — LBW, PTB,\\nand IUGR — in a large cohort of mothers and newborns\\nin Wuhan, China. Given the cohort size, high\\npollution levels and temperatures, and detailed\\ncovariate data, the investigators were well poised to\\naddress these questions. They sought to pattern\\ntheir work on other studies of birth outcomes, were\\nvery responsive to Committee questions, and provided\\nmany additional analyses and explanations.\\nIn the Committee’s view, however, the study was\\nunable to address with confidence several of its specific\\naims. 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引用次数: 0
摘要
背景:最近的几项研究表明,母亲暴露于空气污染和极端温度可能导致低出生体重(LBW)、早产(PTB)和其他可能对婴儿健康产生不利影响的结果。在目前的研究开始时,大多数其他研究都是在美国或欧洲进行的。钱正民博士建议将他在中国武汉所做的环境颗粒物空气污染和每日死亡率(Qian et al. 2010)的工作扩展到研究不良出生结果,这是高等教育资助的亚洲公共卫生和空气污染项目的一部分。武汉是湖北省的省会城市,在城市研究区域内拥有约640万人口,经历极端温度,空气污染水平普遍高于美国和欧洲,因此为探索空气污染和健康问题提供了一个很好的机会。方法:Qian和同事计划了一个队列和巢式病例对照设计,有四个特定的目的,检查在脆弱的怀孕期间增加暴露于空气污染物(PM2.5, PM10, SO2, NO2, O3和CO)是否与PTB和LBW的发病率增加有关。虽然最初计划的是一个嵌套的病例对照研究,但研究人员遇到了挑战,导致他们使用不同的方法来分析队列和病例对照研究,并在统计模型中描述它们。这些决定排除了两组结果之间的直接比较,使得很难回答关于残余混淆的问题,而巢式病例对照研究旨在回答这些问题。使用不同暴露的两种研究设计的比值比也有不同的解释。不过,人们可能会问,这些研究结果是否彼此一致,或者与其他类似研究结果是否一致。有一些相似之处。两项研究都表明,全孕期PM(2.5)、PM(10)、CO和O(3)暴露的增加与ptb发病率的小幅增加有关(病例对照研究也显示与NO2有关),PM(2.5)暴露的增加与flbw发病率的显著增加有关。然而,大多数其他污染物对LBW没有影响,除了队列研究中的CO和病例对照研究中的O(3),两者都增加了LBW的几率。整个妊娠期的暴露通常与IUGR的下降有关。对潜在混杂因素的调整对于递送协变量是最大的。研究人员没有发现任何这些结果与特定的孕期或月份有系统的联系,这是另一个与其他一些研究不同的结果。他们发现几乎没有证据表明他们的主要结果会被共污染物的存在所混淆或修改,尽管除了臭氧之外,大多数污染物都是高度相关的,这使得很难理清单个污染物的影响。这两组数据能否以一种更具可比性的方式进行分析,就像在标准的嵌套病例对照研究中一样?应委员会的要求,研究者使用与队列研究相同的暴露和模型重新分析了病例对照数据。结果与使用反向距离加权暴露的结果截然不同,后者被建模为二元变量——污染物对PTB和lbw要么没有影响,要么有明显的有益影响。委员会不相信对这些差异所作的解释,因而没有解决造成这些差异的原因。结论:本研究旨在回答空气污染暴露对中国武汉一大批母亲和新生儿的三种不良出生结局(低体重、产后结核和IUGR)影响的重要问题。考虑到队列的规模、高污染水平和温度,以及详细的协变量数据,研究人员已经做好了解决这些问题的准备。他们试图将自己的工作与其他关于出生结果的研究相结合,对委员会的问题做出回应,并提供了许多额外的分析和解释。但是,委员会认为,这项研究不能有把握地处理其若干具体目标。最重要的是,当用不同暴露指标分析病例对照数据时,结果的差异仍然无法解释,这引起了人们对从后续分析中得出结论的能力的担忧,这些分析评估了极端温度、SES和SHS暴露的残留混淆和影响改变。因此,短期研究和病例对照研究的任何单个发现都应被视为暗示性的,而不是结论性的,并应仔细地一起解释。
Ambient Air Pollution and Adverse Pregnancy Outcomes in Wuhan, China.
Background: Several recent studies have suggested that maternal
exposures to air pollution and temperature extremes
might contribute to low birth weight (LBW),
preterm birth (PTB), and other outcomes that can adversely
affect infant health. At the time the current
study began, most other studies had been conducted
in the United States or Europe. Dr. Zhengmin Qian
proposed to extend work he had done on ambient
particulate air pollution and daily mortality in
Wuhan, China (Qian et al. 2010), as part of the HEIsponsored
Public Health and Air Pollution in Asia
program, to study adverse birth outcomes. Wuhan is
the capital city of Hubei province, has a large population
of about 6.4 million within the urban study area,
experiences temperature extremes, and generally has
higher air pollution levels than those observed in the
United States and Europe, thus providing a good opportunity
to explore questions about air pollution
and health.
Approach: Qian and colleagues planned a cohort and nested
case–control design with four specific aims, examining
whether increased exposures to air pollutants
(PM2.5, PM10, SO2, NO2, O3, and CO) during vulnerable
pregnancy periods were associated with
increased rates of PTB, LBW (<2500 g), or intrauterine
growth retardation (IUGR, defined as having
a birth weight below the 10th percentile of singleton
live births in Wuhan) after adjusting for major risk
factors and whether the associations were confounded
by copollutant exposures, affected by
residual confounding, or modified by temperature
extremes, socioeconomic status (SES), or secondhand
smoke (SHS) exposure.
The cohort study included 95,911 births that
occurred from June 10, 2011, to June 9, 2013, and
met typical prespecified inclusion criteria used in
other birth outcome studies. The case–control
study included 3146 cases (PTB, LBW, or both, but
not IUGR) and 4263 controls (matched to the cases
by birth month) for whom investigators were able to
complete home visits and questionnaires.
The investigators obtained air pollution and daily
weather data for August 2010 to June 2013 from nine
monitoring stations representing background air pollution
sites in seven Wuhan inner-city districts. Only
two of these stations provided PM2.5 data. For the
cohort study, the investigators assigned exposures to
mothers according to the daily mean concentrations
from the monitor nearest the residential community
in which the mother lived at the time of the birth. For
the case–control study, they assigned exposures
based on the inverse distance weighted average of
daily mean concentrations from the three nearest
monitors, for all but PM2.5 for which the method was
not specified.
They also collected data on various factors that
might confound or modify the impact of the pollutants
on the adverse outcomes, including data collected
in the cohort from mothers at the time of delivery
and, in the case–control study, from questionnaires
administered to mothers. In the case–control study,
covariates representing SES (as indicated by the
mother’s educational attainment and household income)
and SHS exposures were of particular interest.
The primary statistical analyses of the pollutant
associations with PTB, LBW, and IUGR were conducted
using logistic regression models. In the
cohort study, exposures during the pregnancy
period of interest (full term, trimesters, and selected
months) were included as continuous variables. In
the case–control study, the exposures were modeled
as binary variables (i.e., above or below the
median pollutant concentrations). Numerous sensitivity
analyses were conducted.
Results and interpretation: Although originally planning a nested case–control
study, the investigators encountered challenges that
led them to analyze the cohort and case–control
studies using different ways of assigning exposures
and characterizing them in their statistical models.
These decisions precluded direct comparisons
between the sets of results, making it difficult to
answer the questions about residual confounding that
nested case–control studies are designed to answer.
The odds ratios from the two study designs using different
exposures also have different interpretations.
Still, one can ask whether the sets of findings were
qualitatively consistent with each other or with
those of similar studies. There were some similarities.
Both studies suggested that increased PM(2.5),
PM(10), CO, and O(3) exposures over the full pregnancy
were associated with small increases in the odds of
PTB (the case–control study also showed an association
with NO2) and that increased PM(2.5) exposures
were associated with significantly increased odds of
LBW. However, most of the other pollutants had no
effect on LBW, except CO in the cohort study and O(3)
in the case–control study, both of which increased
the odds of LBW. The exposures over the entire pregnancy
were generally associated with decreased
odds of IUGR. Adjustments for potential confounders
were greatest for the delivery covariates.
The investigators found no systematic association
of any of these outcomes with particular trimesters
or months, another result that differed from
those of some other studies. They found little evidence
that their main results were confounded or
modified by the presence of copollutants, although
with the exception of O3, most of the pollutants
were highly correlated, making it difficult to disentangle
the effects of individual pollutants.
Could the two sets of data be analyzed in a more
comparable way, as in a standard nested case–control
study? At the Committee’s request, the investigators
reanalyzed the case–control data using the same
exposures and models as in the cohort study. The
results were strikingly different from those using
the inverse distance weighted exposures, modeled
as binary variables — the pollutants had either no
effect or an apparent beneficial effect on PTB and
LBW. The Committee was not convinced by the
explanations offered for these differences, leaving
the reasons for them unresolved.
Conclusions: This study set out to answer important questions
about the effects of air pollution exposure on three
measures of adverse birth outcomes — LBW, PTB,
and IUGR — in a large cohort of mothers and newborns
in Wuhan, China. Given the cohort size, high
pollution levels and temperatures, and detailed
covariate data, the investigators were well poised to
address these questions. They sought to pattern
their work on other studies of birth outcomes, were
very responsive to Committee questions, and provided
many additional analyses and explanations.
In the Committee’s view, however, the study was
unable to address with confidence several of its specific
aims. Most important, the differences in
results when the case–control data were analyzed
with different exposure metrics remain unexplained,
raising concerns about the ability to draw
conclusions from subsequent analyses assessing
residual confounding and effect modification by
temperature extremes, SES, and SHS exposure.
Consequently, any individual findings from the
cohort and case–control studies should be considered
suggestive rather than conclusive, and should
be interpreted carefully together.