Long-term exposure to ambient air pollution (including PM1) and metabolic syndrome: The 33 Communities Chinese Health Study (33CCHS)

Yang, Bo; Qian, Zhengmin; Li, Shanshan; Fan, Shujun; Chen, Gongbo; Syberg, Kevin M; Xian, Hong; Wang, Si Quan; Ma, Huimin; Chen, Duo Hong; Yang, Mo; Liu, Kang Kang; Zeng, Xiao Wen; Hu, Li; Lee, Hyewon; Dong, Guang‐Hui

doi:10.1016/j.envres.2018.02.029

Cited by 102 publications

(50 citation statements)

References 41 publications

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“…Air pollution has itself been associated with increased prevalence of cardiometabolic risk factors. 55,56 Strengths of the present population-based study include the inclusion of 3-5 year olds, extending the evaluation of associations with PAH metabolites to a younger and possibly more sensitive population with significant exposure to PAHs. We assessed several measures of obesity, including WHtR, which had not previously been assessed in relation to PAH metabolites.…”

Section: Discussionmentioning

confidence: 99%

Association of urinary polycyclic aromatic hydrocarbons and obesity in children aged 3–18: Canadian Health Measures Survey 2009–2015

Bushnik

Wong

Holloway

et al. 2019

J Dev Orig Health Dis

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Polycyclic aromatic hydrocarbons (PAHs) may contribute to obesity. Childhood obesity is a strong predictor of adult obesity and morbidity; however, the relationship between PAHs and obesity in young children (e.g., aged 3–5) has not been studied. We examined the association between urinary PAH metabolites and measures of obesity in children. We analyzed data from 3667 children aged 3–18 years who participated in the Canadian Health Measures Survey (CHMS, 2009–2015). We ran separate multivariable linear models to estimate the association between quartiles of PAH metabolites and each of body mass index (BMI) percentile, waist circumference (WC), and waist-to-height ratio (WHtR) in the total population, as well as in the age subgroups 3–5, 6–11, and 12–18, adjusting for age, sex, ethnicity, education, income quintile, diet, creatinine, and exposure to environmental tobacco smoke. A multinomial logistic regression model estimated adjusted odds ratios for risk of central obesity. BMI, WC, and WHtR were positively associated with total PAH and naphthalene metabolites in the total population aged 3–18 and in age groups 6–11 and 12–18. In 3–5 year olds, WHtR, but not BMI, was significantly associated with total PAH, naphthalene, and phenanthrene metabolites. Overall, those in the highest quartile for naphthalene or total PAH metabolites had three times greater odds of having central obesity compared with those in the lowest quartile. Urinary PAH metabolites are associated with WHtR, an indicator of central obesity and predictor of health risks associated with obesity, in children as young as 3–5.

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Section: Discussionmentioning

confidence: 99%

Association of urinary polycyclic aromatic hydrocarbons and obesity in children aged 3–18: Canadian Health Measures Survey 2009–2015

Bushnik

Wong

Holloway

et al. 2019

J Dev Orig Health Dis

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“…PM 1 is the smallest detectable fraction of PM is possibly the most dangerous in children as it can easily by-pass air ltration systems and travel through nostrils, into lungs and blood vessels blood streams and by-pass air-ltration systems (Zajusz-Zubek et al, 2017). Exposure to PM 1 , mostly outdoors have been linked to health outcome ranging from metabolic disorders, cancers, respiratory health disorders across health groups (Agudelo-Castañeda et al, 2017;Zajusz-Zubek et al, 2017;Yang et al, 2018). The link of PM 1 to childhood pneumonia remains largely unexplored.…”

Section: Introductionmentioning

confidence: 99%

Association Between Specific Indoor Air Pollutants and Pneumonia Episodes in Children Under Five in Abuja, Nigeria: A Case-control Study

Adaji

Clifford

Gibson

et al. 2020

Preprint

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Background: Pneumonia causes most death in children under five globally. Indoor air pollution has been reported to increase the risk of children to pneumonia. ObjectiveTo investigate the association between specific indoor air pollutants and pneumonia episodes in children under five.MethodsUsing a case-control study design, we compared exposure of cases and controls to specific pollutants (PM2.5, CO, BC and PM1), using battery operated aerosol monitors. Data was analysed using Wilcoxon signed-rank test.ResultsThe mean PM2.5 was higher in controls compared to cases. PM2.5 highest mean recorded for controls was 177 µg/m3. There was a significant difference between cases and controls for 10 hours (p-value 0.0147), 15 hours (p-value 0.0111) and 20-24 hours (p-value 0.0296) for PM2.5. No significant difference in CO concentration between cases and controls, the highest CO mean concentration recorded being 2930 µg/m3. Similarly, PM1 was consistently higher in controls compared to cases. However, this difference was not significant from exposure to PM1 between cases and controls (P-value>0.05), with the highest PM1 mean concentration recorded being 91 µg/m3. There was a significant difference (p-value 0.0260) in exposure to Black Carbon between cases and controls. BC was higher in households of cases compared to controls, with the mean average of BC for cases 4350 µg/m3 and controls 4126 µg/m3. In this study, BC is positively associated with a pneumonia episode. We also report the importance of unmodifiable and behaviourally modifiable factors on pneumonia episode in children.Discussion: In conclusion, we show that children present during cooking, number of available windows and MUAC increased the likelihood of a pneumonia episode. We recommend household level behaviour changes and targeted IMCI including early effective detection and treatment of childhood pneumonia particularly in high pollution areas in Nigeria.

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“…In recent decades, the GDM prevalence increased in women [2] and about half of them have no classic risk factors for their GDM development [3]. The available evidence suggested that environmental pollutants, e.g., air pollution could act as a risk factor in developing GDM and glucose tolerance in healthy women [4][5][6][7][8][9][10][11][12][13][14]. However, the results of these studies are inconsistent.…”

Section: Introductionmentioning

confidence: 99%

Preconception air pollution exposure and glucose tolerance in healthy pregnant women in a middle income country

Zareie

Gohari

Haghighi

et al. 2020

Preprint

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Background: The effect of preconception exposure to air pollution on glucose tolerance during pregnancy in developing and middle-income countries is under debate yet. Therefore, this study aimed to assess the relationship between exposure to ambient particulate matter (PM) and traffic indicators with glucose tolerance in healthy pregnant women in Sabzevar, Iran (2019). Methods: Accordingly, 250 healthy pregnant women with singleton pregnancies of 24-26 weeks of gestations were participated in our study. Land use regression (LUR) models were applied to estimate the annual mean of PM1, PM2.5 and PM10 at residential address. Traffic indicators, including distance from home to the nearest major road (DHMR) as well as total streets length in 100, 300 and 500m buffers around the home (TSL-100, 300 and 500) were calculated using the street map of Sabzevar. Oral glucose tolerance test (OGTT) was used to assess glucose tolerance during pregnancy. Multiple linear regression adjusted for relevant covariates was used to estimate the association of fasting blood glucose (FBG), 1-h and 2-h post-load glucose with PMs and traffic indicators. Results: Exposure to PM1, PM2.5 and PM10 was significantly associated with higher FBG concentration. Higher TSL-100 was associated with higher FBG and 1-h glucose concentrations. Each one interquartile range (IQR) increase in DHMR the levels of FBG and 1-h post-load glucose were decreased -3.42 mg/dL (95% confidence interval (CI): -4.47, -2.37, P-value < 0.01) and -4.65 mg/dL (95% CI: -8.03, -1.26, P-value < 0.01), respectively. Conclusion: We found higher preconception exposure to air pollution and exposure to air pollution during pregnancy were negatively associated with glucose tolerance during pregnancy in a middle income country.

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Long-term exposure to ambient air pollution (including PM1) and metabolic syndrome: The 33 Communities Chinese Health Study (33CCHS)

Cited by 102 publications

References 41 publications

Association of urinary polycyclic aromatic hydrocarbons and obesity in children aged 3–18: Canadian Health Measures Survey 2009–2015

Association of urinary polycyclic aromatic hydrocarbons and obesity in children aged 3–18: Canadian Health Measures Survey 2009–2015

Association Between Specific Indoor Air Pollutants and Pneumonia Episodes in Children Under Five in Abuja, Nigeria: A Case-control Study

Preconception air pollution exposure and glucose tolerance in healthy pregnant women in a middle income country

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