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Combined exposure to PM2.5 and PM10 in reductions of physiological development among preterm birth: a retrospective study from 2014 to 2017 in China
被引:0
作者:
Hu, Bo
[1
,2
]
Tang, Jie
[1
,2
]
Xu, Guangtao
[1
]
Shao, Dongliang
[3
]
Huang, Huafei
[3
]
Li, Jintong
[1
]
Chen, Huan
[1
]
Chen, Jie
[1
]
Zhu, Liangjin
[1
]
Chen, Shipiao
[1
]
Shen, Bin
[1
]
Jin, Limin
[2
]
Xu, Long
[1
]
机构:
[1] Jiaxing Univ, Inst Forens Sci, Coll Med, Dept Prevent Med,Forens & Pathol Lab, Jiaxing, Zhejiang, Peoples R China
[2] Jiaxing Univ, Jiaxing Hosp Tradit Chinese Med, Dept Pathol & Key Innovat Discipline Mol Diagnost, Jiaxing, Zhejiang, Peoples R China
[3] Jiaxing Univ, Jiaxing Matern & Child Hlth Care Hosp, Dept Neonatal Intens Care Unit, Jiaxing, Zhejiang, Peoples R China
基金:
中国国家自然科学基金;
关键词:
PM2;
5;
PM10;
birth outcomes;
low birth weight;
preterm birth;
AMBIENT AIR-POLLUTION;
PREGNANCY;
WEIGHT;
IMPACT;
D O I:
10.3389/fpubh.2023.1146283
中图分类号:
R1 [预防医学、卫生学];
学科分类号:
1004 ;
120402 ;
摘要:
BackgroundPreterm birth (PTB) has been linked with ambient particulate matter (PM) exposure. However, data are limited between physiological development of PTB and PM exposure. MethodsTrimester and season-specific PM exposure including PM2.5 and PM10 was collected from Jiaxing between January 2014 and December 2017. Information about parents and 3,054 PTB (gestational age < 37 weeks) outcomes such as weight (g), head circumference (cm), chest circumference (cm), height (cm) and Apgar 5 score were obtained from birth records. We used generalized linear models to assess the relationship between PTB physiological developmental indices and PM2.5, PM10 and their combined exposures. A binary logistic regression model was performed to assess the association between exposures and low birth weight (LBW, < 2,500 g). ResultsResults showed that there were 75.5% of low birth weight (LBW) infants in PTB. Decreased PM2.5 and PM10 levels were found in Jiaxing from 2014 to 2017, with a higher PM10 level than PM2.5 each year. During the entire pregnancy, the highest median concentration of PM2.5 and PM10 was in winter (61.65 & PLUSMN; 0.24 vs. 91.65 & PLUSMN; 0.29 & mu;g/m(3)) followed by autumn, spring and summer, with statistical differences in trimester-specific stages. After adjusting for several potential factors, we found a 10 & mu;g/m(3) increase in joint exposure of PM2.5 and PM10 during the entire pregnancy associated with reduced 0.02 week (95%CI: -0.05, -0.01) in gestational age, 7.9 g (95%CI: -13.71, -2.28) in birth weight, 0.8 cm in height (95%CI: -0.16, -0.02), 0.05 cm (95%CI: -0.08, - 0.01) in head circumference, and 0.3 (95%CI: -0.04, -0.02) in Apgar 5 score, except for the chest circumference. Trimester-specific exposure of PM2.5 and PM10 sometimes showed an opposite effect on Additionally, PM2.5 (OR = 1.37, 95%CI: 1.11, 1.68) was correlated with LBW. ConclusionFindings in this study suggest a combined impact of fine particulate matter exposure on neonatal development, which adds to the current understanding of PTB risk and health.
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