Indoor air pollution exposure and early childhood development in the Upstate KIDS Study.

BACKGROUND: Limited human studies have investigated the impact of indoor air pollution on early childhood neurodevelopment among the US population. We aimed to examine the associations between prenatal and postnatal indoor air pollution exposure and early childhood development in a population-based birth cohort. METHODS: This analysis included 4735 mother-child pairs enrolled between 2008 and 2010 in the Upstate KIDS Study. Indoor air pollution exposure from cooking fuels, heating fuels, and passive smoke during pregnancy, and at 12 and 36 months after birth were assessed by questionnaires. Five domains of child development were assessed by the Ages and Stages Questionnaire at 4, 8, 12, 18, 24, 30, and 36 months. Generalized estimating equations were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for potential confounders. RESULTS: Exposure to unclean cooking fuels (natural gas, propane, or wood) throughout the study period was associated with increased odds of failing any development domain (OR = 1.28, 95% CI 1.07, 1.53), the gross motor domain (OR = 1.52, 95% CI: 1.09, 2.13), and the personal-social domain (OR = 1.36, 95% CI: 1.00, 1.85), respectively. Passive smoke exposure throughout the study period increased the odds of failing the problem-solving domain by 71% (OR = 1.71, 95% CI 1.01, 2.91) among children of non-smoking mothers. No association was found between heating fuel use and failing any or specific domains. CONCLUSION: Unclean cooking fuel use and passive smoke exposure during pregnancy and early life were associated with developmental delays in this large prospective birth cohort.

Association of ambient fine particulate matter exposure with gestational diabetes mellitus and blood glucose levels during pregnancy.

BACKGROUND: Previous studies have examined the associations between ambient fine particulate matter (PM2.5) exposure and gestational diabetes mellitus (GDM). However, limited studies explored the relationships between PM2.5 exposure and blood glucose levels during pregnancy, especially in highly polluted areas. OBJECTIVES: To examine the associations of prenatal ambient PM2.5 exposure with GDM and blood glucose levels, and to identify the sensitive exposure windows in a highly air-polluted area. METHODS: From July 2016 to October 2017, a birth cohort study was conducted in Beijing, China. Participants were interviewed in each trimester regarding demographics, lifestyle, living and working environment, and medical conditions. Participant's daily ambient PM2.5 levels from 3 m before last menstrual period (LMP) to the third trimester was estimated by a hybrid spatiotemporal model. Indoor air quality index was calculated based on environmental tobacco smoke, ventilation, cooking, painting, pesticide, and herbicide use. Distributed lag non-linear model was applied to explore the sensitive weeks of PM2.5 exposure. RESULTS: Of 165 pregnant women, 23 (13.94%) developed GDM. After adjusting for potential confounders, PM2.5 exposure during the 1st trimester was associated with higher odds of GDM (10 µg/m3 increase: OR = 1.89, 95% CI: 1.04-3.49). Each 10 µg/m3 increase in PM2.5 during the 2nd trimester was associated with 17.70% (2.21-33.20), 15.99% (2.96-29.01), 18.82% (4.11-33.52), and 17.10% (3.28-30.92) increase in 1-h, 2-h, Δ1h-fasting (1-h minus fasting), and Δ2h-fasting (2-h minus fasting) blood glucose levels, respectively. PM2.5 exposure at 24th-27th weeks after LMP was associated with increased GDM risk. We identified sensitive exposure windows of 21st-24th weeks for higher 1-h and 2-h blood glucose levels and of 20th-22nd weeks for increased Δ1h-fasting and Δ2h-fasting. CONCLUSIONS: Ambient PM2.5 exposure during the second trimester was associated with higher odds of GDM and higher blood glucose levels. Avoiding exposure to high air pollution levels during the sensitive windows might prevent women from developing GDM.

Influence of Family and Community Socioeconomic Status on the Risk of Adolescent Drug Use.

Background: Adolescent drug use increases the risk of mental, physical and social problems later in life and so it is important to understand its complex etiology that likely includes socioeconomic status (SES). We undertook the present analysis using data from a population-based retrospective cohort study to examine the influence of family and community SES in relation to adolescent drug use. We hypothesized that lower levels of community and parental SES would increase the risk of use and that there would be stronger associations for the more proximate family-level factors. Methods: We used self-administered questionnaires (N=1,402) to obtain information on use of marijuana, inhalants, heroin, cocaine/crack, psychedelics/hallucinogens, Ritalin without a prescription, and club drugs during adolescence. Family SES was gathered from birth certificate data on maternal educational level and paternal occupation. Community SES characteristics at birth, age 10 and age 18 were obtained from the US Census Bureau. Results: An increased risk of adolescent drug use was associated with lower maternal education, non-white collar occupations among fathers, and lower community median income, and poverty and unemployment levels at age 18. The strongest associations were seen for the use of multiple drugs (Risk Ratio (RR): 1.7, 95% CI: 1.4-2.2), inhalants (RR: 2.5, 95% CI: 1.5-2.2), crack/cocaine (RR: 2.8, 95% CI: 1.7-4.5), psychedelics/hallucinogens (RR: 1.8, 95% CI: 1.4-2.4), and club/designer drugs (RR: 1.8, 95% CI: 1.2-2.7) among adolescents whose mothers had only a high school education. Conclusions: These results suggest that use of certain drugs during adolescence is associated with both family and community SES measures. However, maternal education appears to have the greatest influence on use, suggesting that a multi-level approach that engages mothers is needed to prevent adolescent drug use.

Drug use disorder following early life exposure to tetrachloroethylene (PCE)-contaminated drinking water: a retrospective cohort study.

BACKGROUND: Many studies of adults with occupational exposure to solvents such as tetrachloroethylene (PCE) have shown adverse effects on cognition, mood and behavioral problems. Much less is known about neurotoxic effects in early life at lower exposure levels seen in community settings. We recently reported that illicit drug use was more frequent among adults from Cape Cod, Massachusetts who were exposed to PCE-contaminated drinking water during gestation and early childhood than their unexposed counterparts. Using newly collected data from this population-based retrospective cohort study, the current analysis examines whether early life PCE exposure is also associated with drug use disorder over the life course. METHODS: Three-hundred and sixty-three subjects with prenatal and early childhood PCE exposure and 255 unexposed subjects were studied. These individuals (median age: 40-41 years) completed self-administered questionnaires on the eleven established diagnostic criteria for drug use disorder and confounding variables. A validated leaching and transport model was used to estimate exposure to PCE-contaminated water. RESULTS: Overall, 23.3% of subjects reported having at least one criterion for drug use disorder over their lifetime. Early life PCE exposure was associated with a modest increase in the lifetime presence of one or more diagnostic criteria for drug use disorder (adjusted RR: 1.4, 95% CI: 1.0-1.8). Compared to unexposed subjects, PCE-exposed subjects were more likely to report having most diagnostic criteria of drug use disorder, including neglecting major roles due to drug use, physical and psychological problems related to drug use, and giving up activities due to drug use. No dose-response relationships were observed with increasing levels of PCE exposure. CONCLUSIONS: These results suggest that exposure to PCE-contaminated drinking water during early life modestly increases the risk of developing diagnostic criteria for drug use disorder later in life. Because this study has several limitations, these findings should be confirmed in follow-up investigations of other exposed populations with more diverse racial and socioeconomic characteristics.