Publications by authors named "Chau-Ren Jung"

Although several environmental factors may increase the risk of nervous system anomalies, the association between exposure to particulate matter with an aerodynamic diameter of ≤ 2.5 μm (PM) and nervous system anomalies is not completely understood. This study aimed to examine the association between expoure to PM and nervous system anomalies, including specific phenotypes during preconception and early pregnancy and determine the crucial time windows.

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Electronic waste that has not been properly treated can lead to environmental contamination including of heavy metals, which can pose risks to human health. Infants, a sensitive group, are highly susceptible to heavy metals exposure. The aim of this study was to investigate the association between prenatal heavy metal exposure and infant birth outcomes in an e-waste recycling area in China.

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  • The study investigates the link between exposure to airborne heavy metals, specifically arsenic, cadmium, mercury, and lead, and the development of autism spectrum disorder (ASD) in a large cohort of over 168,000 live births in Taichung between 2004 and 2011.
  • A positive correlation was found between mercury exposure and increased ASD risk, particularly noted at 9 months post-birth, with heightened risk during specific postnatal weeks for low birth weight infants.
  • The findings suggest that exposure to certain heavy metals, especially mercury, during critical developmental periods may significantly impact ASD incidence, particularly in infants with low birth weight.
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  • - This study investigates how maternal exposure to fine particulate matter (PM) affects the risk of congenital heart defects, focusing on critical time periods before and during pregnancy.
  • - Researchers analyzed data from over 500,000 participants using advanced modeling techniques to measure PM levels and their relation to heart defects, finding significant effects during specific weeks both before and after conception.
  • - Results indicate that higher PM exposure, especially in low socioeconomic groups, is linked to increased rates of congenital heart defects, highlighting the importance of minimizing air pollution during preconception.
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Modeling is a cost-effective measure to estimate ultrafine particle (UFP) levels. Previous UFP estimates generally relied on land-use regression with insufficient temporal resolution. We carried out in-situ measurements for UFP in central Taiwan and developed a model incorporating satellite-based measurements, meteorological variables, and land-use data to estimate daily UFP levels at a 1-km resolution.

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  • Prenatal exposure to heavy metals, especially mercury (Hg), may disrupt neurodevelopment and affect hormone levels in children, highlighting a risk in areas near electronic waste recycling in China.* -
  • The study analyzed human milk and serum steroid hormones in children at age four, finding a significant association between higher Hg levels and increased dehydroepiandrosterone (DHEA) concentrations.* -
  • Results suggest that while Hg may influence hormone levels, the effect is complex due to exposure to multiple metals, emphasizing the need for regulatory measures to mitigate heavy metal exposure.*
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Long-term air pollution exposure has been linked to increased lung cancer mortality. However, little is known about whether day-to-day fluctuations in air pollution levels are in relation to lung cancer mortality, particularly in low-exposure settings. This study aimed to evaluate the short-term associations between air pollution and lung cancer mortality.

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  • Tic disorders are common neurodevelopmental issues in children, and the study explores whether exposure to particulate matter (PM2.5) during pregnancy and infancy affects their risk of developing these disorders.
  • A significant birth cohort study in Taiwan found that higher exposure to PM2.5 is linked with increased rates of tic disorders, particularly between 6-52 weeks after birth, with specific increases in risk noted for Tourette's disorder.
  • The researchers utilized advanced statistical models to analyze data from over 300,000 births and concluded that exposure to PM2.5 poses a risk, prompting the need for further research in this area.
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This study applied positive matrix factorization (PMF) to identify the sources of size-resolved submicrometer (10-1000 nm) particles and quantify their contributions to impaired visibility based on the particle number size distributions (PNSDs), aerosol light extinction (b), air pollutants (PM, PM, SO, O, and NO), and meteorological parameters (temperature, relative humidity, wind speed, wind direction, and ultraviolet index) measured hourly over an urban basin in central Taiwan between 2017 and 2021. The transport of source-specific PNSDs was evaluated with wind and back trajectory analyses. The PMF revealed six sources to the total particle number (TPN), surface (TPS), volume (TPV), and b.

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This study is the first to assess postnatal exposure to heavy metals using breast milk in an electronic waste (e-waste) recycling area. From January to April 2021, 102 and 97 breastfeeding women were recruited from an e-waste recycling area and a control area, respectively. Four weeks after delivery, medical staff collected 20 mL of breast milk from each participant.

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  • - A study examined how exposure to fine particulate matter (PM) during pregnancy and early childhood affects the risk of developing attention-deficit/hyperactivity disorder (ADHD), analyzing data from over 425,000 births in Taiwan from 2004 to 2015.
  • - Results showed that children exposed to PM levels above 16 μg/m during the first trimester and from ages 1-3 had significantly higher hazard ratios (HR) for ADHD, with HR values ranging from 1.26 to 1.87 based on exposure levels.
  • - The findings suggest that pregnant women should avoid PM exposure above 16 μg/m to lower the risk of ADHD in their children, and emphasize the need for improved air
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Although studies have revealed that ambient particulate matter (PM) has detrimental effects on the ocular surface, there have been limited reports detailing the effect of ambient PM on the posterior segment of the eye. A large-scale longitudinal cohort study evaluating the association between fine PM, especially PM2.5, and the retina could elucidate the risk of ambient pollutants for retinal diseases.

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  • This observational study revisits the impact of dioxin exposure on the synthesis of steroid hormones in infants by analyzing data from 42 mother-infant pairs previously studied in 2015.
  • Researchers assessed serum samples for four steroid hormones—progesterone, testosterone, androstenedione (A-dione), and dehydroepiandrosterone (DHEA)—while also measuring dioxin levels in breast milk.
  • The study found a significant negative correlation between dioxins and DHEA and A-dione, but not with progesterone and testosterone, highlighting the need for ongoing monitoring of dioxin effects on hormone levels in children since earlier studies indicated different relationships.
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Air pollution has been associated with childhood neurodevelopment. However, the role of indoor air pollution, especially volatile organic compounds (VOCs), on childhood neurodevelopment has been poorly explored to date. We investigated the association between indoor air pollutants and childhood neurodevelopment in 5,017 randomly selected children from the Japan Environment and Children's Study.

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Background: Many studies have investigated the devastating health effects of heat waves, but less is known about health risks related to cold spells, despite evidence that extreme cold may contribute to a larger proportion of deaths.

Objectives: We aimed to systematically investigate the association between cold spells and mortality in Japan.

Methods: Daily data for weather conditions and 12 common causes of death during the 1972-2015 cold seasons (November-March) were obtained from 47 Japanese prefectures.

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Organophosphate pesticides (OPPs) exhibit neurodevelopmental toxicity. To evaluate the effect of prenatal exposure to OPPs in the Japan Environment and Children's Study, a nationally representative birth cohort study, 4575 maternal urine samples were analysed for six OPP metabolites, i.e.

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Exposure to particulate matter (PM) is one of the important risk factors for morbidity and mortality. Although PM concentrations have been assessed using air quality monitoring stations or modelling, few studies have measured indoor PM in large-scale birth cohorts. The Japan Environment and Children's Study (JECS) measured indoor and outdoor air quality in approximately 5000 households when the participating children were aged 1.

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  • * Researchers used a random forest model, which outperformed traditional linear regression, to analyze data collected through passive samplers and various household factors like appliances, cooking methods, and ventilation.
  • * The study identified toluene, formaldehyde, and acetaldehyde as the main indoor VOCs and highlighted key determinants (like outdoor conditions and building age) that impact VOC concentrations, providing insights for improving indoor air quality and future health assessments.
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  • - The study investigates how exposure to fine particulate matter (PM) during pregnancy and early infancy affects the development of allergic rhinitis (AR) in children, aiming to outline critical vulnerable periods to mitigate risks.
  • - An analysis of data from a large cohort of 140,911 infants in Taichung, Taiwan revealed that around 33.55% developed AR, typically diagnosed around age 3; increased PM exposure during late pregnancy to the first year of life correlated significantly with higher AR risk.
  • - Results indicate that both prenatal and postnatal PM exposure contributes to AR development, with the most vulnerable periods identified as late gestation and the first year after birth, suggesting a need for further research to reinforce these findings.
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Few studies have explored the relationship between long-term exposure to particulate matter with an aerodynamic diameter of ≤2.5 μm (PM) and osteoporotic fracture, particularly in high PM level areas. The aim of this study was to assess the association between long-term exposure to PM and osteoporotic fracture.

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Background: Asthma is the most common chronic allergic disease in children; it affects more than 300 million people worldwide. Information on the association between exposure to ambient heavy metals and incidence of pediatric asthma is limited.

Objective: We sought to evaluate the effects of heavy metals during pregnancy and infancy periods with asthma and identify a sensitive time window, clarifying the effect of ambient heavy metals on lung development.

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Clinical guidelines including those set by the US Institute of Medicine, have based optimal gestational weight gain (GWG) on maternal pre-pregnancy body mass index (BMI), but have not considered the role of environmental toxicants such as heavy metals that can disrupt these processes. This study designed to determine optimal GWG ranges in women grouped according to BMI, and to assess whether blood concentrations of heavy metals alter the relationships between GWG and outcomes. A total of 103,060 participants in the Japan Environment and Children's Study recruited between 2011 and 2014 were followed until their children reached 3 years of age.

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In the past two decades, numerous studies on dioxin concentrations in breast milk have been conducted in China. However, information concerning dioxin concentrations in breast milk from women living in e-waste recycling sites remains limited. Thus, this study aimed to evaluate health risk owing dioxin intake in e-waste recycling areas in China.

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Perinatal exposure to dioxins affects steroid hormone synthesis. The purpose of the present study was to evaluate the associations between perinatal exposure to dioxins and serum steroid hormone levels in preschool-aged children from an e-waste recycling region in China. In the present study, we enrolled 50 pairs of mothers and infants from the Taizhou, Luqiao region in 2015.

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  • - The study explored the accuracy of self-reported smoking habits compared to urinary cotinine levels in nearly 90,000 pregnant women in Japan, aiming to distinguish between active, passive, and non-smokers.
  • - The researchers established a cut-off value of 36.8 µg/g-creatinine to identify active smokers and found that the questionnaire had a moderate sensitivity (52.3%) but high specificity (99.8%).
  • - For passive smokers, the cut-off was 0.31 µg/g-creatinine, revealing low sensitivity (22.2%) and high specificity (97.7%), suggesting that up to 78% of passive smokers may be inaccurately categorized as non-smokers
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