International journal of hygiene and environmental health最新文献

Background

Telomere length is a biomarker of molecular aging that may be impacted by air pollution exposure starting in utero. We aimed to examine the association between prenatal and early life exposure to fine particulate matter (PM_2.5) and leukocyte telomere length (LTL) in children and explore sex differences.

Methods

Analyses included 384 mother–child pairs enrolled in the Programming Research in Obesity, Growth, and Environmental Stressors (PROGRESS) birth cohort in Mexico City. Exposure to PM_2.5 was estimated at the residential level using a satellite based spatio-temporally resolved prediction model. Average relative LTL was measured in DNA isolated from blood collected at age 4–6 years using quantitative real-time polymerase chain reaction. Linear regression models were used to examine the association between average PM_2.5 across pregnancy, individual trimesters, first postnatal year, and LTL. Models were adjusted for maternal age and education at enrollment, prenatal environmental tobacco smoke exposure, child sex, age, and body mass index z-score at LTL measurement. Effect modification by sex was investigated with interaction terms and stratification.

Results

In trimester specific models, we found an association between 2nd trimester PM_2.5 and elongated LTL (β: 4.34, 95%CI [0.42, 8.42], per 5 μg/m³ increase). There was suggestive effect modification by sex on average 2nd trimester PM_2.5 with stronger associations seen in females compared to males (β: 7.12, [95%CI: 0.98, 13.6] and β: 1.43 [95%CI: −3.46, 6.57]) per 5 μg/m³ increase respectively.

Conclusion

Second trimester PM_2.5 levels were associated with changes in LTL in early childhood. Understanding temporal and sex differences in PM_2.5 exposure may provide insights into telomere dynamics over early life.

Background

The burden of pediatric asthma and other allergic diseases is not evenly distributed among United States populations.

Objective

To determine whether urinary biomarkers are associated with asthma morbidity, and if associations vary by child race, ethnicity and sex.

Methods

This study includes n = 152 children with physician-diagnosed asthma who participated in the School Inner-City Asthma Intervention Study (SICAS-2). Metabolites of phenol, paraben, polycyclic aromatic hydrocarbons, and phthalate analytes were analyzed from urine samples collected at baseline. Asthma symptom days over the past 2 weeks were dichotomized to no asthma symptom days or any asthma symptom days. Cross-sectional regression models were adjusted for age, sex, number of colds, household income, prescription control, race and ethnicity, body mass index (BMI) percentile, and smoke exposure. Weighted quantile sum regression was used to analyze each chemical class and a total mixture effect, controlling for the same covariates. Analyses were conducted with the assistance of the National Institute of Environmental Health Sciences Children's Health Exposure Analysis Resource (CHEAR).

Results

Participants were mostly Hispanic/Latino and low income with an average age of 7.83 years and the average maximum asthma symptom days over the past two weeks of 2.13 (standard deviation: 3.56). The maximum concentrations indicate extreme values for several chemicals, including bisphenol-3, 2,5-dichlorophenol, propyl and methyl parabens, triclosan, methyl paraben and cotinine. We found a significant interaction effect and differing contributions of analytes for children with allergen sensitivity versus those that did not. For stratified analyses assessing effect modification by child race and ethnicity, weighted quantile sum interaction models showed reduced odds of asthma symptoms to a greater magnitude in children of other races and ethnicities compared to Black, Non-Hispanic children.

Conclusions

Preliminary analyses of the association between environmental chemical exposure and asthma symptoms among inner-city children revealed an inverse association, which may be due to personal care and medication use and can be understood further in future analyses. Beneficial effects were detected for most of the chemicals.

Background

Air pollution exposure has been linked with increased risk of preterm birth, which is one of the leading causes of infant mortality. Limited studies have attempted to explore these associations in low-polluted areas. In this study, we aimed to assess the association between short-term exposure to ambient air pollution and preterm birth in Sweden.

Method

In this population-based study we included preterm births between 2014 and 2019 from the Swedish Pregnancy Register. We applied a spatiotemporal model to estimate daily levels of particulate matter <2.5 μm (PM_2.5), PM < 10 μm (PM₁₀), nitrogen dioxide (NO_2), and ozone (O₃) at the residential address of each participant. We applied a time-stratified case-crossover design with conditional logistic regression analysis to estimate odds ratios (OR) of preterm birth per 10 μg/m³ (PM₁₀, NO₂, O₃) and 5 μg/m³ (PM_2.5) increase in air pollution exposure at 0–6-day lag. Two-pollutant models were applied to evaluate the independent association of each exposure on preterm birth. We also stratified by maternal characteristics to identify potential effect modifiers.

Results

28,216 (4.5%) preterm births were included. An increase in O₃ exposure was associated with increased odds of preterm birth [OR = 1.06 per 10 μg/m³ (95% CI, 1.02; 1.10]. PM_2.5 and PM₁₀ were not significantly associated with preterm birth, and NO₂ displayed a negative nonlinear association with preterm birth. We did not observe any notable effect modification, but we found suggestive larger associations between O₃ and preterm birth when stratifying by male sex, spontaneous delivery, and spring season.

Conclusions

Increased O₃ exposure one week before delivery was associated with an increased risk of preterm birth in Sweden, a country with levels of air pollution below the current World Health Organization air quality guidelines. Increases in O₃ levels with climate change make these findings especially concerning.

Background

The mortality of type 2 diabetes mellitus (T2DM) can be affected by environmental factors. However, few studies have explored the effects of environmental factors across diverse regions over time. Given the vulnerability observed in the elderly group in previous research, this research applied Bayesian spatiotemporal models to assess the associations in the elderly group.

Methods

Data on T2DM death in the elderly group (aged over 60 years old) at the county level were collected from the National Death Surveillance System between 1^st January 2013 and 31^st December 2019 in Shandong Province, China. A Bayesian spatiotemporal model was employed with the integrated Nested Laplace Approach to explore the associations between socio-environmental factors (i.e., temperatures, relative humidity, the Normalized Difference Vegetation Index (NDVI), particulate matter with a diameter of 2.5 μm or less (PM_2.5) and gross domestic product (GDP)) and T2DM mortality.

Results

T2DM mortality in the elderly group was found to be associated with temperature and relative humidity (i.e., temperature: Relative Risk (RR) = 1.41, 95% Credible Interval (CI): 1.27–1.56; relative humidity: RR = 1.05, 95% CI:1.03–1.06), while no significant associations were found with NDVI, PM_2.5 and GDP. In winter, significant impacts from temperature (RR = 1.18, 95% CI: 1.06–1.32) and relative humidity (RR = 0.94, 95% CI: 0.89–0.99) were found. Structured and unstructured spatial effects, temporal trends and space-time interactions were considered in the model.

Conclusions

Higher mean temperatures and relative humidities increased the risk of elderly T2DM mortality in Shandong Province. However, a higher humidity level decreased the T2DM mortality risk in winter in Shandong Province. This research indicated that the spatiotemporal method could be a useful tool to assess the impact of socio-environmental factors on health by combining the spatial and temporal effects.

The relationship between maternal peripheral blood mitochondrial DNA and adverse pregnancy outcomes, specifically preterm birth (PTB), remains uncertain. To investigate the effects of preconception mitochondrial DNA copy number (mtDNAcn) on the association between prenatal air pollutants exposure and PTB risk, a total of 1871 expectant mothers from six regions in Henan Province were recruited. Information regarding air pollutants was obtained from 151 environmental monitoring sites, and relative mtDNAcn was evaluated using real-time PCR analysis. After adjusting for potential confounding variables, it was determined that the risk of PTB increased with elevated levels of inhalable particulate matter (PM₁₀), fine particulate matter (PM_2.5), sulfur dioxide (SO₂), carbon monoxide (CO) and ozone (O₃) exposure (P < 0.05) but decreased with higher nitrogen dioxide (NO₂) exposure (0.05 < P < 0.10) during the entire pregnancy. Additionally, the preconception relative mtDNAcn was lower in the PTB group (0.82 ± 0.23) compared to the term group (0.92 ± 0.29). Furthermore, for each 0.1-unit increase in preconception mtDNAcn, the risk of PTB decreased by 14.8%. Stratified analyses revealed that the risk of PTB rose with increasing O₃ concentrations, regardless of the relative mtDNAcn. Moreover, the study found a significant association between PTB risk and prenatal exposure to elevated PM₁₀, PM_2.5, SO₂, and CO, particularly in mothers with low mtDNAcn (≤0.88) (P < 0.05). Conversely, a decrease in the PTB risk was observed with elevated NO₂ exposure in mothers with high mtDNAcn (>0.88). Interaction analysis revealed that exposure to PM₁₀, PM_2.5, SO₂, NO₂, and CO interacted with mtDNAcn, respectively, affecting PTB risk (P_-interaction<0.05). These findings indicate a noteworthy association between PTB risk and prenatal air pollutants exposure, which is influenced by the preconception mtDNAcn.

Introduction

Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are widely used in the manufacture of fluoropolymers. We evaluated biochemical and haematological effects of three PFAS, serum perfluorooctanoic acid (PFOA), ADV, and cC₆O₄ in workers of a fluoropolymer company.

Methods

Using data (2013–2022), we fitted random intercept regression models adjusted for several covariates and reciprocal adjustment between the three PFAS.

Results

We analysed data of 814 workers (698 men, 116 women), 607 from the chemical plant, 207 from the research centre, for a total of 4912 blood samples (2065 with all three PFAS measured). Median levels of PFOA and ADV were 21.3 and 120 μg/L. Most (65.5%) cC₆O₄ measurements were below the limits of quantification (which varied over time from 5 to 0.1 μg/L). For PFOA, we observed positive associations with total cholesterol (+1.1% increase per ln(PFOA) increase) and apolipoprotein B (+1.4%) and negative associations with alkaline phosphatase (−1.5%); suggestive associations were also found with RBC (−0.4%), IgA (−1.5%), IgM (−1.4%). ADV was positively associated with total and LDL cholesterol (+1.0% and +1.6% per ln(ADV) increase), apolipoprotein B (+1.0%), GGT (+2.1%), IgM (+1.4%), and WBC (+1.5%) and negatively associated with direct bilirubin (−2.3%) and alpha-2-globulins (−0.7%); suggestive associations were found for indirect bilirubin (−2.0%), oestradiol (−2.1%), ad CRP (+6.0%). For samples with detectable cC₆O₄ levels we observed higher values of ALP (+2.3%), proteins (+0.5%), IgG (+0.7%) and platelets (+1.6%) and suggestively increased total bilirubin (+3.9%), RBC (+0.6%), and oestradiol (+5.8%). Some associations (total cholesterol, apolipoprotein B, WBC, total bilirubin, and alkaline phosphatase showed reverse time trends in parallel with the strong decrease of serum PFOA and ADV over the study period.

Discussion

We found associations of serum PFOA and ADV with lipid metabolism, liver function, and immunoglobulins. The reverse time trends of some endpoints in parallel with decrease of serum PFOA and ADV reinforce causal interpretation of results. cC₆O₄ showed a different pattern of associations.

Background

Short-term exposure to low and high air temperatures can cause serious harmful effects on human health. Existing literature has mostly focused on associations of ambient air temperature with mortality and the need for health care in population-level studies. Studies that have considered self-perceived health status as an outcome when examining the effects of air temperature on health are scarce. In this study, we explored the short-term association of daily mean air temperature with various measures of self-perceived health status.

Methods

This cross-sectional analysis is based on the Cooperative Health Research in the Region of Augsburg (KORA) FIT study conducted in 2018/2019 and included participants from the Augsburg region of Southern Germany. Health-related quality of life (HRQOL) was evaluated by using the 5-level EuroQol Five Dimension (EQ-5D-5L) questionnaire, including the EuroQol visual analog scale (EQ-VAS). Self-rated health (SRH) and comparative self-rated health (CSRH) were each assessed using a single question. Daily mean air temperature data was estimated using a spatiotemporal model and assigned to participants' home addresses at a resolution of 1 × 1 km. Regression models with a Distributed Lag Non-linear Modeling (DLNM) approach were used to investigate the associations between daily mean air temperature and self-perceived health measures.

Results

We found no association of heat or cold with the HRQOL, SRH or CSRH. Nevertheless, there was a significant protective association of low air temperature with the EQ-5D-5L dimension “usual activities.”

Conclusion

There was no evidence of daily mean air temperature adversely affecting participants' self-perceived health status.

Background

Heat-related mortality has become a growing public health concern in light of climate change. However, few studies have quantified the climate-attributable health burden in Cyprus, a recognized climate change hotspot. This study aims to estimate the heat-related mortality in Cyprus for all future decades in the 21st century under moderate (SSP2-4.5) and extreme (SSP5-8.5) climate scenarios.

Methods

We applied distributed lag non-linear models to estimate the baseline associations between temperature and mortality from 2004 to 2019 (data obtained from Department of Meteorology of the Ministry of Agriculture, Rural Development and Environment and the Health Monitoring Unit of the Cyprus Ministry of Health). The relationships were then extrapolated to future daily mean temperatures derived from downscaled global climate projections from General Circulation Models. Attributable number of deaths were calculated to determine the excess heat-related health burden compared to the baseline decade of 2000–2009 in the additive scale. The analysis process was repeated for all-cause, cardiovascular, and respiratory mortality and mortality among males, females, and adults younger or older than 65. We assumed a static population and demographic structure, no adaptation to hot temperatures over time, and did not evaluate potential interaction between temperature and humidity.

Results

Compared to 2000–2009, heat-related total mortality is projected to increase by 2.7% (95% empirical confidence interval: 0.6, 4.0) and 4.75% (2.2, 7.1) by the end of the century in the moderate and extreme climate scenarios, respectively. Cardiovascular disease is expected to be an important cause of heat-related death with projected increases of 3.4% (0.7, 5.1) and 6% (2.6, 9.0) by the end of the century. Reducing carbon emission to the moderate scenario can help avoid 75% of the predicted increase in all-cause heat-related mortality by the end of the century relative to the extreme scenario.

Conclusions

Our findings suggest that climate change mitigation and sustainable adaptation strategies are crucial to reduce the anticipated heat-attributable health burden, particularly in Cyprus, where adaptation strategies such as air conditioning is nearing capacity.

Introduction

Lead poisoning contributes to a significant burden of disease as a toxic substance found in air, soil, and water. In Indonesia, the risk of exposure is high due to the inappropriate recycling of used lead batteries. The objective was to investigate the factors that influence lead levels in children's blood.

Methods

This cross-sectional study assessed blood lead levels (BLLs) in children aged 12–59 months in four communities exposed to used lead-acid batteries (ULABs) recycling activities, comparing them to a control area. The study employed a threshold level of 20 μg/dL to identify high BLLs and utilized a sample size of 324 children from exposed sites and 240 from control sites. Questionnaires, blood lead tests and a home-based assessment for environmental exposures were applied.

Results

The study participants comprised 295 boys and 269 girls, with an average age of 35 months. Significant disparities in soil lead concentrations median: Q1-Q3 were found between exposed (6581.7 : 2432.6–16647.1) ppm and control areas (253.5 : 158.8–417.1) ppm. Children in exposed areas had 3.9 times higher odds of BLL ≥20 μg/dL. Fathers with BLL ≥20 μg/dL had children with similarly elevated BLLs. Multivariate analysis identified socioeconomic status, study areas, environmental factors (cookware, food ware, spices, house cleaning), and children's behavior (breastfeeding duration) as determinants of elevated BLLs. Reported environmental factors had notable impact on BLLs, with aluminum cookware (aOR = 1.4, 95%CI [1.2–1.6]), food ware materials (aOR = 1.15, 95%CI [1.0–1.3]), type of spices (aOR = 2.7, 95%CI [1.7–48.0]), and house cleaning method (aOR = 2.9, 95%CI [1.2–7.1]).

Conclusion

This study highlighted key risk factors affecting children's blood lead levels (BLL) and emphasized the urgency of employing effective strategies to remediate lead-contaminated soils in exposed regions. The findings underscore the need for prompt medical intervention and monitoring for children in these areas, with additional research essential to fully understand lead poisoning pathways in the environment.