Effect of outdoor air pollution and indoor environmental factors on small for gestational age

Lu, Chan; Deng, Miaomiao; Norbäck, Dan; Liu, Zijing; Murithi, Rachael Gakii; Deng, Qihong

doi:10.1016/j.buildenv.2021.108399

Cited by 14 publications

(10 citation statements)

References 93 publications

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“…Air contaminants such as nitric oxide (NO) and nitrogen dioxide (NO 2 ), originating mainly from industrial and transportation activities (incomplete fossil fuel combustion or vehicle exhaust emissions), cause significant problems related to ozone layer reduction, acid rain production, chemical smog appearance, and particle pollution [1][2][3]. However, indoor air is equally essential for human health, considering that more than 80% of our time is spent in closed spaces (homes, offices, halls, malls, libraries, etc.).…”

Section: Introductionmentioning

confidence: 99%

Indoor Air Photocatalytic Decontamination by UV–Vis Activated CuS/SnO2/WO3 Heterostructure

Eneşca

Sisman

2022

Catalysts

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A titania-free heterostructure based on CuS/SnO2/WO3 was obtained by a three-step sol–gel method followed by spray deposition on the glass substrate. The samples exhibit crystalline structures and homogenous composition. The WO3 single-component sample morphology consists of fibers that serve as the substrate for SnO2 development. The CuS/SnO2/WO3 heterostructure is characterized by a dense granular morphology. Photocatalytic activity was evaluated under UV–Vis radiation and indicates that the WO3 single-component sample is able to remove 41.1% of acetaldehyde (64.9 ppm) and 52.5% of formaldehyde (81.4 ppm). However, the CuS/SnO2/WO3 exhibits a superior photocatalytic activity due to a larger light spectrum absorption and lower charge carrier recombination rate, allowing the removal of 69.2% of acetaldehyde and 78.5% of formaldehyde. The reusability tests indicate that the samples have a stable photocatalytic activity after three cycle (12 h/cycle) assessments. During light irradiation, the heterostructure acted as a Z-scheme mechanism using the redox ability of the CuS conduction band electrons and the SnO2/WO3 valence band holes to generate the oxidative species required for VOC removal.

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Section: Introductionmentioning

confidence: 99%

Indoor Air Photocatalytic Decontamination by UV–Vis Activated CuS/SnO2/WO3 Heterostructure

Eneşca

Sisman

2022

Catalysts

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“…Fourthly, synthesizing different modes of machine learning methods for different types of adverse birth outcome data would break new ground on this topic. Fifthly, this study did not consider indoor enviromental factors, which were reported as major predictors of adverse birth outcomes along with PM 20 , 36 .…”

Section: Discussionmentioning

confidence: 96%

Machine learning-based risk factor analysis of adverse birth outcomes in very low birth weight infants

Cho

Lee

et al. 2022

Sci Rep

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This study aimed to analyze major predictors of adverse birth outcomes in very low birth weight (VLBW) infants including particulate matter concentration (PM10), using machine learning and the national prospective cohort. Data consisted of 10,423 VLBW infants from the Korean Neonatal Network database during January 2013–December 2017. Five adverse birth outcomes were considered as the dependent variables, i.e., gestational age less than 28 weeks, gestational age less than 26 weeks, birth weight less than 1000 g, birth weight less than 750 g and small-for-gestational age. Thirty-three predictors were included and the artificial neural network, the decision tree, the logistic regression, the Naïve Bayes, the random forest and the support vector machine were used for predicting the dependent variables. Among the six prediction models, the random forest had the best performance (accuracy 0.79, area under the receiver-operating-characteristic curve 0.72). According to the random forest variable importance, major predictors of adverse birth outcomes were maternal age (0.2131), birth-month (0.0767), PM10 month (0.0656), sex (0.0428), number of fetuses (0.0424), primipara (0.0395), maternal education (0.0352), pregnancy-induced hypertension (0.0347), chorioamnionitis (0.0336) and antenatal steroid (0.0318). In conclusion, adverse birth outcomes had strong associations with PM10 month as well as maternal and fetal factors.

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“…5,6,8,9 Furthermore, these exposures might be critical during some specific windows. 3,7,18,19,30,31,33 Nevertheless, some published data suggested that windows of exposure might not correlate with clinical trimesters only, 9,18 and that further evaluation should focus on models, which combine exposures to multiple pollutants. 5,9,15 The results of our study have limitations, such as the retrospective design, the low number of patients enrolled in the respiratory allergy group that could have led to reduced statistical power and that only one hospital was used as study setting.…”

Section: Discussionmentioning

confidence: 99%

“…Maternal median age was 34 years in both groups, and patients were mainly in the age range [25][26][27][28][29][30][31][32][33][34][35] population, respectively, and an allergic etiology was diagnosed in 43 (87.8%) and 18 (18.6%) of these patients correspondingly. Pollen was the main aeroallergen identified in all of the patients (43; 100%), followed by house dust mite (30; 69.8%).…”

Section: Re Sultsmentioning

confidence: 99%

The influence of air pollution on gestational age at delivery and birthweight in patients with or without respiratory allergy: A nested case–control study

Bartha,

De La Fuente,

Martinez‐Sanchez

et al. 2023

Acta Obstet Gynecol Scand

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IntroductionAir pollution is a current major health issue. The burden of airborne pollutants and aeroallergen levels varies throughout the year, as well as their interaction and consequences. Prenatal exposure during pregnancy has been associated with adverse perinatal outcomes. The aim of this study was to evaluate the impact of air pollutants on perinatal outcomes in patients with or without respiratory allergy.Material and methodsNested case–control retrospective study on 3006 pregnant women. Correlations between concentrations of common pollutants in each trimester of pregnancy and on average during the whole pregnancy and both gestational age at delivery and birthweight were studied. Pearson's correlation coefficient and binary logistic regression were used.ResultsIn general, pollutants correlated more strongly with birthweight than with gestational age at delivery. Nine‐month NO2, SO2, CO, and benzene, and second‐trimester CO negatively correlated with birthweight, whereas only first‐trimester NO2 showed a very mild correlation with gestational age at delivery. Negative correlations between pollutants and birthweight were much stronger in the respiratory allergy group (n = 43; 1.4%) than in the non‐allergic group. After adjustments, the most significant predictive pollutant of birthweight was SO2 in both groups. The best predictive model was much stronger in the allergic group for third‐trimester SO2 (R2 = 0.12, p = 0.02) than in the non‐allergic group for total SO2 (R2 = 0.002, p = 0.02). For each unit that SO2 increased, birthweight reduced by 3.22% vs. 1.28% in each group, respectively.ConclusionsAir pollutant concentrations, especially SO2, negatively influenced birthweight. The impact of this association was much stronger and more relevant in the group of women with respiratory allergies.

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Effect of outdoor air pollution and indoor environmental factors on small for gestational age

Cited by 14 publications

References 93 publications

Indoor Air Photocatalytic Decontamination by UV–Vis Activated CuS/SnO2/WO3 Heterostructure

Indoor Air Photocatalytic Decontamination by UV–Vis Activated CuS/SnO2/WO3 Heterostructure

Machine learning-based risk factor analysis of adverse birth outcomes in very low birth weight infants

The influence of air pollution on gestational age at delivery and birthweight in patients with or without respiratory allergy: A nested case–control study

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