Faster surgery initiation in oral cancer patients during the COVID-19 pandemic in Osaka, Japan.

BACKGROUND: We investigated the impact of the COVID-19 pandemic on oral cancer (OC), comparing diagnosis and number of pre-operative days in the diagnosis of OC in 2019 (pre-COVID-19) and that in 2020 (during the COVID-19 pandemic). METHODS: Using data from a cancer registry-based study on the impact of COVID-19 on cancer care in Osaka (CanReCO), we collected details of sex, age, residential area, cancer site, date of diagnosis, clinical stage at first treatment and number of pre-operative days in OC patients. RESULTS: A total of 1470 OC cases were registered. Incidence of OC before and during COVID-19 was 814 and 656 cases, respectively. During the first wave of the pandemic (March to May 2020), incidence was about half that in the same period in 2019 (2019; n = 271, 2020; n = 145). Number of pre-operative days (median number of days between the first hospital visit and surgery date) was significantly shorter during the COVID-19 year (24.5 days) than in the pre-COVID-19 year (28 days, p = 0.0015). CONCLUSIONS: Incidence of OC during the COVID-19 pandemic was lower than in pre-COVID-19. Despite disruption in the healthcare system, the number of pre-operative days for OC cases was shorter during the pandemic.

Prognostic impact of the presence or absence of prior cancer in patients with cancer using cure models: A population-based study.

Developing a subsequent cancer is one of the major concerns for cancer survivors; however, whether prior cancer could affect their prognosis is unknown. We therefore aimed to analyze how prognosis varies depending on prior cancer in patients with newly developed cancer, focusing on cancer that had been "cured." We used the record-linked database of the Osaka Cancer Registry and Vital Statistics to select 186,798 patients with stomach, colorectal, or lung cancer aged ≥40 years from 1995 to 2009 in Osaka, Japan. These cancers were defined as index cancers. We classified the patients into two groups according to whether they had a prior cancer diagnosis within 10 years before the index cancer diagnosis. The cured proportion was defined as the proportion of cancer patients with the same mortality as the general population and was estimated using the parametric mixture cure model. The cured proportion of patients with prior cancer by sex and age group was not significantly lower than those without prior cancer, except for patients with stomach cancer aged ≥65 years. According to the index cancer stage in the localized stomach or colorectal cancer, the cured proportion in patients with prior cancer was lower than in those without prior cancer. However, at any stage of lung cancer, the proportion of patients with prior cancer who had been cured was similar to patients without prior cancer, therefore prior cancer had a prognostic impact only in some patient groups based on the characteristics of their index cancer.

Short-term association of air pollution with lung cancer mortality in Osaka, Japan.

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. Daily data on lung cancer mortality, fine particulate matter (PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and weather conditions were collected from Osaka Prefecture, Japan, from 2010 to 2014. Generalized linear models were combined with quasi-Poisson regression were applied to evaluate the associations between each air pollutant and lung cancer mortality after adjusting for potential confounders. Mean (standard deviation) concentrations of PM2.5, NO2, SO2, and CO were 16.7 (8.6) µg/m3, 36.8 (14.2) µg/m3, 11.1 (4.0) µg/m3, and 0.51 (0.16) mg/m3, respectively. Interquartile range increases in concentrations of PM2.5, NO2, SO2, and CO (2-d moving average) were associated with 2.65% (95% confidence intervals [CIs]: 0.96%-4.37%), 4.28% (95% CIs: 2.24%-6.36%), 3.35% (95% CIs: 1.03%-5.73%), and 4.60% (95% CIs: 2.19%-7.05%) increased risk of lung cancer mortality, respectively. Stratified analyses showed that the associations were strongest in the older population and men. Exposure‒response curves showed a continuously increasing mortality risk from lung cancer with elevation of air pollution levels, without discernible thresholds. In summary, we found evidence of increased lung cancer mortality in relation to short-term elevations in ambient air pollution. These findings may merit further research to better understand this issue.

Optical-numerical method based on a convolutional neural network for full-field subpixel displacement measurements.

The subpixel displacement estimation is an important step to calculation of the displacement between two digital images in optics and image processing. Digital image correlation (DIC) is an effective method for measuring displacement due to its high accuracy. Various DIC algorithms to compare images and to obtain displacement have been implemented. However, there are some drawbacks to DIC. It can be computationally expensive when processing a sequence of continuously deformed images. To simplify the subpixel displacement estimation and to explore a different measurement scheme, a convolutional neural network with a transfer learning based subpixel displacement measurement method (CNN-SDM) is proposed in this paper. The basic idea of the method is to compare images of an object decorated with speckle patterns before and after deformation by CNN, and thereby to achieve a coarse-to-fine subpixel displacement estimation. The proposed CNN is a classification model consisting of two convolutional neural networks in series. The results of simulated and real experiments are shown that the proposed CNN-SDM method is feasibly effective for subpixel displacement measurement due its high efficiency, robustness, simple structure and few parameters.

Fine particulate matter is a potential determinant of Alzheimer's disease: A systemic review and meta-analysis.

Air pollution is a modifiable and preventable factor, and it is a possible risk factor for dementia. However, evidence from epidemiological studies is still limited. We conducted a systematic review and meta-analysis to summarize the epidemiological evidence for long-term effects of particulate matter with an aerodynamic diameter ≤2.5 µm (PM2.5) on dementia/Alzheimer's disease (AD). Our inclusion criteria for eligible studies were: longitudinal cohort study design, no overlap in study population, age of study subject ≥50 years, detailed description of exposure assessment for PM2.5, outdoor assessment of exposure to PM2.5, usage of a clear definition of dementia/AD, and accessibility of sufficient information for meta-analysis. Six databases were searched for eligible studies. The random-effect model was used to synthesize the associations between PM2.5 and dementia. After exclusion of all irrelevant studies, we analyzed the results of four cohort studies conducted in Canada, Taiwan, the UK, and the US during 2015-2018 among more than 12 million elderly subjects aged ≥50 years (N = 12,119,853). Our meta-analysis reveals that exposure to a 10 µg/m3 increase in PM2.5 was significantly and positively associated with dementia (pooled HR = 3.26, 95% CI: 1.20, 5.31). In subgroup analyses, exposure to a 10 µg/m3 increase in PM2.5 was found to be positively associated with AD (pooled HR = 4.82, 95% CI: 2.28, 7.36). Analysis of current epidemiological research on PM2.5 and dementia confirmed that exposure to PM2.5 was positively associated with a higher risk for dementia. However, it is to be noted that the included studies mainly relied on claim-based diagnosis and showed large differences in methods of exposure assessment, hence further epidemiological studies with well validated outcomes and with standardized exposure assessment models are required to ascertain the relationship between PM2.5 and dementia/AD.

Effects of particulate oxidation catalyst on unregulated pollutant emission and toxicity characteristics from heavy-duty diesel engine.

To evaluate the effects of particulate oxidation catalyst (POC) on unregulated pollutant emission and toxicity characteristics, polycyclic aromatic hydrocarbons (PAHs), volatile organic compounds (VOCs), soot, soluble organic fractions (SOF) and sulphate emissions emitted from a heavy-duty diesel engine retrofitted with a POC were investigated on a diesel bench. The particulate matter (PM) in the exhaust was collected by Teflon membrane, and the PAHs and VOCs were analysed by a gas chromatography/mass spectrometer (GC/MS). The results indicate that the POC exhibits good performance on the emission control of VOCs, PAHs and PM. The POC and the diesel particulate filters (DPF) both show a good performance on reducing the VOCs emission. Though the brake-specific emission (BSE) reductions of the total PAHs by the POC were lower than those by the DPF, the POC still removed almost more than 50% of the total PAHs emission. After the engine was retrofitted with the POC, the reductions of the PM mass, SOF and soot emissions were 45.2-89.0%, 7.8-97.7% and 41.7-93.3%, respectively. The sulphate emissions decreased at low and medium loads, whereas at high load, the results were contrary. The PAHs emissions were decreased by 32.4-69.1%, and the contributions of the PAH compounds were affected by the POC, as well as by load level. The benzo[a]pyrene equivalent (BaPeq) of PAHs emissions were reduced by 35.9-97.6% with the POC. The VOCs emissions were reduced by 21.8-94.1% with the POC, and the reduction was more evident under high load.

Prognostic impact of coexisting cardiovascular disease in patients with cancer: A multicenter retrospective cohort study.

Background: The incidence of malignancy and cardiovascular disease (CVD) is increasing worldwide. However, it is not entirely clear how the coexistence of CVD at the time of cancer diagnosis affects the overall survival of patients with cancer. Methods and results: We used the cancer registries and administrative claims data of patients diagnosed with cancer at 36 designated cancer care hospitals in Osaka, Japan, from 2010 to 2015. The Cox proportional hazard model was used to examine how coexisting CVD (heart failure [HF], ischemic heart disease, peripheral arterial disease, cerebrovascular accidents, and atrial fibrillation) affected overall survival and the impact of HF severity, as documented by the New York Heart Association (NYHA) classification. Of the 131,701 patients with cancer, 9704 had coexisting CVD. The 3-year survival rates for patients with and without coexisting CVD were 62.9 % and 77.6 %, respectively. The adjusted hazard ratio (aHR) for all-cause mortality for coexisting CVD was 1.47 (95 % confidence interval, 1.41-1.52). Among the CVD subtype, patients with coexisting HF had the poorest prognosis. The aHRs in patients with HF by NYHA classification, using the patients without HF as a reference, were as follows: Class I: 1.33 (p = 0.217); II: 1.68 (p < 0.001); III: 1.54 (p = 0.011); IV: 2.47 (p < 0.001). Conclusion: Coexisting CVD and HF severity at cancer diagnosis is associated with survival in patients with cancer.

Travel patterns of patients seeking cancer care during the COVID-19 pandemic: Multi-centre cohort study in Osaka, Japan.

BACKGROUND: In Japan, provision of equal access to cancer care is intended to be achieved via secondary medical areas (SMAs). However, the percentage of patients receiving care within the residential area varies by SMA in Osaka Prefecture. We aimed to assess the effect size of factors associated with patient mobility, and whether patient mobility was affected by the COVID-19 pandemic. METHODS: Records of patients diagnosed with stomach, colorectal, lung, breast, cervical, oesophageal, liver or pancreatic cancer during 2019-2020 were extracted from multi-centre hospital-based cancer registry data. Odds ratios of whether a patient received care within the SMA of residence were set as the outcome. A multivariable model was built using generalised estimating equations with multiple imputation for missing data. Change in patient mobility after the pandemic was examined by deriving age- and SMA-specific adjusted ORs (aORs). RESULTS: A total of 78,839 records were included. Older age, more advanced stage and palliative care had up to 1.69 times higher aORs of receiving care within their own area. Patients with oesophageal, liver or pancreatic cancer tended to travel outside their area with aORs ranging from 0.71 to 0.90. Patients aged ≤ 79 and living in the East and South SMAs tended to remain in their area with aORs ranging from 1.05 to 1.11 after the pandemic. CONCLUSION: Patient mobility decreased for higher age and stage. It also varied by SMA, cancer site and treatment type. POLICY SUMMARY: Our results need to be linked with resource inputs to help policymakers decide whether to intervene to address current efficiency or equity issues.

Insight into the effect of catalytic reactions on correlations of soot oxidation activity and microspatial structures.

A catalyst is usually coated on Diesel particulate filter (DPF) for assisted regeneration. In this paper, the oxidation activity and pore structure evolutions of soot under the effect of CeO2 are explored. CeO2 effectively increases the oxidation activity of soot and reduces the initial activation energy; in the meantime, the addition of CeO2 changes the soot oxidation mode. Pure soot particles tend to produce the porous structure in the oxidation process. Mesopores promote the diffusion of oxygen, and macropores contribute to reduce the agglomeration of soot particles. Additionally, CeO2 provides the active oxygen for soot oxidation and promotes the multi-point oxidation at the beginning of soot oxidation. With the oxidation proceeding, catalysis causes the collapsion of soot microspatial structures, in the meantime, the macropores caused by the catalytic oxidation are filled by CeO2. It results in the tight contact between soot and catalyst, further promoting the formation of the available active oxygen for soot oxidation. This paper is meaningful to analyze the oxidation mechanism of soot under catalysis, which lays a foundation for improving the regeneration efficiency of DPF and reducing the particle emission.

Socioeconomic disparities in cancer survival: Relation to stage at diagnosis, treatment, and centralization of patients to accredited hospitals, 2005-2014, Japan.

BACKGROUND: Cancer survival varies by socioeconomic status in Japan. We examined the extent to which survival disparities are explained by factors relevant to cancer control measures (promoting early-stage detection, standardizing treatment, and centralizing patients to government-accredited cancer hospitals [ACHs]). METHODS: From the Osaka Cancer Registry, patients diagnosed with solid malignant tumors during 2005-2014 and aged 15-84 years (N = 376,077) were classified into quartiles using the Area Deprivation Index (ADI). Trends in inequalities were assessed for potentially associated factors: early-stage detection, treatment modality, and utilization of ACH (for first contact/diagnosis/treatment). 3-year all-cause survival was computed by the ADI quartile. Multivariable Cox regression models were used to assess survival disparities and their trends through a series of adjustment for the potentially associated factors. RESULTS: During 2005-2014, the most deprived ADI quartile had lower rates than the least deprived quartile for early-stage detection (42.6% vs. 48.7%); receipt of surgery (58.1% vs. 64.1%); and utilization of ACH (83.5% vs. 88.4%). While rate differences decreased for receipt of surgery and utilization of ACH (Annual Percent Change = -3.2 and - 11.9, respectively) over time, it remained unchanged for early-stage detection. During 2012-2014, the most deprived ADI quartile had lower 3-year survival than the least deprived (59.0% vs. 69.4%) and higher mortality (Hazard Ratio [HR] = 1.32, adjusted for case-mix): this attenuated with additional adjustment for stage at diagnosis (HR = 1.23); treatment modality (HR = 1.20); and utilization of ACH (HR = 1.19) CONCLUSIONS: Despite improvements in equalizing access to quality cancer care during 2005-2014, survival disparities remained. Interventions to reduce inequalities in early-stage detection could ameliorate such gaps.

Impact of coexisting diabetes on survival and risk of developing second primary cancer in diabetes patients receiving drug therapy: A multicenter retrospective cohort study of patients with cancer in Japan.

AIMS/INTRODUCTION: We investigated the association between coexisting diabetes at the time of cancer diagnosis, and the overall survival and incidence of second primary cancer in patients with cancer and receiving drug therapy for diabetes. MATERIALS AND METHODS: We used cancer registry and administrative data of patients diagnosed with cancer at designated cancer care hospitals in Osaka Prefecture between 2010 and 2015. The presence of diabetes was identified from the prescription records of antidiabetic drugs in Diagnosis Procedure Combination System data. After adjusting for patient characteristics, we compared overall survival between patients with cancer with coexisting diabetes and those without coexisting diabetes using the Cox proportional hazards model. In addition, the impact of coexisting diabetes on the risk of developing second primary cancer was evaluated using a competing risk analysis. RESULTS: Of the 131,701 patients with cancer included in the analysis, 6,135 (4.7%) had coexisting diabetes. The 5-year survival rates for patients with and without coexisting diabetes were 56.2% (95% confidence interval 54.8-57.6) and 72.7% (95% confidence interval 72.4-73.0), respectively. Coexisting diabetes was associated with a higher risk of developing second primary cancer (subdistribution hazard ratio 1.23; 95% confidence interval 1.08-1.41). In site-specific analysis, coexisting diabetes was associated with an increased risk for the development of second primary cancer of multiple myeloma, and cancer of the uterus, pancreas and liver. CONCLUSIONS: Coexisting diabetes was associated with a higher mortality and risk of developing second primary cancer in Japanese patients with cancer and on drug therapy for diabetes.

Multiple exposures to heavy metals and changes in steroid hormones production in 4-year-old children.

BACKGROUND: Prenatal exposure to multiple heavy metals can interfere with early neurodevelopment, lead to changes in sex hormone concentrations in children, and affect female reproductive health. To date, the influence of prenatal exposure to heavy metals on the endocrine system of children in Chinese electronic waste (e-waste) recycling areas has not been elucidated. METHODS: Four weeks after delivery, 10 mL of human milk was collected for analysis of three heavy metals (lead (Pb), cadmium (Cd), and mercury (Hg)) via inductively coupled plasma mass spectrometry (ICP-MS). Four serum steroid hormones, including progesterone, testosterone, androstenedione (A-dione), and dehydroepiandrosterone (DHEA), were analyzed in 4-year-old children (25 boys and 17 girls). A multiple linear regression (MLR) model was implemented to investigate the association between each individual metal and serum steroid hormone. The exposure-response relationships were explored by generalized additive models (GAMs). Additionally, a Bayesian kernel machine regression (BKMR) model was used to assess the effects of multiple heavy metal exposures on each steroid hormone. RESULTS: The MLR results show a significant positive association between a natural log unit increase in Hg and DHEA levels after adjusting for confounders (ß = 65.50, 95% confidence interval (CI) = 4.37, 126.62). According to the GAM, the univariate exposure-response relationship of Hg on DHEA was almost linear. However, this association was attenuated based on the multiple metal MLR and BKMR results after accounting for multiple heavy metal exposures. SIGNIFICANCE: Prenatal Hg exposure may affect sex hormones in children by affecting DHEA levels. IMPACT STATEMENT: Prenatal maternal exposure to Hg may have long-term effects on the next generation. Hence, regulatory measures to reduce Hg exposure and long-term monitoring of children's health in e-waste areas are needed.

Prenatal Exposure to Heavy Metals and Adverse Birth Outcomes: Evidence From an E-Waste Area in China.

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. We analyzed cadmium (Cd), chromium (Cr), manganese (Mn), lead (Pb), copper (Cu), and arsenic (As) concentrations in 102 human milk samples collected 4 weeks after delivery. The results showed that 34.3% of participants for Cr, which exceeds the World Health Organization (WHO) guidelines, as well as the mean exposure of Cr exceeded the WHO guidelines. We collected data on the birth weight (BW) and length of infants and analyzed the association between metal concentration in human milk and birth outcomes using multivariable linear regression. We observed a significant negative association between the Cd concentration in maternal milk and BW in female infants (ß = -162.72, 95% CI = -303.16, -22.25). In contrast, heavy metals did not associate with birth outcomes in male infants. In this study, we found that 34.3% of participants in an e-waste recycling area had a Cr concentration that exceeded WHO guidelines, and there was a significant negative association between prenatal exposure to the Cd and infant BW in females. These results suggest that prenatal exposure to heavy metals in e-waste recycling areas may lead to adverse birth outcomes, especially for female infants.

Diagnosis and treatment of digestive cancers during COVID-19 in Japan: A Cancer Registry-based Study on the Impact of COVID-19 on Cancer Care in Osaka (CanReCO).

BACKGROUND: The coronavirus disease 2019 (COVID-19) affected cancer care in Japan, but the detailed impact on cancer diagnosis and treatment is not well-understood. We aimed to assess the impact of COVID-19 on digestive cancer care in Osaka Prefecture, which has a population of 8.8 million. METHODS: We conducted a multi-center cohort study, using hospital-based cancer registry (HBCR) data linked to administrative data from 66 designated cancer care hospitals in Osaka. Records of patients diagnosed with cancer of the stomach, colorectum, esophagus, liver, gallbladder or pancreas were extracted from the HBCR data. Baseline characteristics, such as the number of diagnoses, routes to diagnosis and clinical stage, were compared between patients diagnosed in 2019 and those in 2020. We also compared treatment patterns such as the number of treatments (operations, endoscopic surgeries, chemotherapies, radiotherapies), pathological stage and time to treatment for each digestive cancer. RESULTS: In total, 62,609 eligible records were identified. The number of diagnoses decreased in 2020, ranging from -1.9% for pancreatic cancer to -12.7% for stomach cancer. Screen-detected cases decreased in stomach and colorectal cancer. The percentage of clinical stage III slightly increased across different cancers, although it was only significant for colorectal cancer. Among 52,741 records analyzed for treatment patterns, the relative decrease in radiotherapy was larger than for other treatments. The median time from diagnosis to operation was shortened by 2-5 days, which coincided with the decrease in operations. CONCLUSION: The impact of COVID-19 on cancer care in 2020 was relatively mild compared with other countries but was apparent in Osaka. Further investigation is needed to determine the most affected populations.

Challenges of the UK government and industries regarding emission control after ICE vehicle bans.

Over the last few decades, the annual air pollutants from internal combustion engine (ICE) vehicles have dropped significantly, benefiting from the implementation of strict emission regulations and the development of vehicle technology. Nitrogen oxides (NOx) and particulate matter (PM) emissions from transport sectors contributed more than 32% and 12% of annual total emissions. Although hazardous exhaust emissions from ICE vehicles will be reduced after the bans on ICE vehicle sales in 2030, sustainable technology development of ICE vehicles is still necessary to meet the future challenges. After-treatment retrofitting technology and Inspection/Maintenance (I/M) are particularly important measures to deal with the deterioration of engines and after-treatment systems.

Catalytic effect of diesel PM derived ash on PM oxidation activity.

With diesel particulate filter and gasoline particulate filter periodical regeneration, more and more ash accumulates on the substrate of filter. Ash gathering on the substrate of filter leads to more contact area of particulate matter and ash. Specific ingredients in ash present catalytic effects on particulate matter oxidation. However, the catalytic effect of diesel particulate matter derived ash on its oxidation, mimicking the ash accumulating on filter substrate, is still uncovered using experiments. In this paper, diesel particulate matter derived ash was put at the bottom of particulate matter samples to imitating the soot loading on filter substrate which was covered by much ash. The results indicated that the burnout temperature of diesel particulate matter was in the range of 500-600 °C; while it was 600-700 °C for Printex (U). The burnout temperature drop by ash was lower than 10 °C for diesel particulate matter. The maximum mass loss rate corresponded to approximately 450 °C for diesel particulate matter, and it was changed minorly by ash and ramp rates. However, the temperature corresponding to the maximum mass loss rate was seriously retarded by high ramp rates for Printex (U), and ash presented limited effect on it. The maximum activation energy drop by ash was approximately 60 kJ/mol at the initial stage of oxidation for diesel particulate matter. The activation energy was approximately 132.19, 114.78, 157.26, and 144.67 kJ/mol for diesel PM, diesel PM-ash, Printex (U), and Printex (U)-ash, respectively. Organic compounds dropped gradually in the oxidation process of diesel particulate matter. Nanostructure evolutions of diesel particulate matter and Printex (U) were similar, experiencing smaller sizes and void cores at the end of oxidation process.

Changes of diesel particle diameter and surface area distributions by non-thermal plasma.

A wide literature has demonstrated that internal combustion engines are the main responsible for the emission of fine particles in urban areas. Within this scope, ultrafine particles within diesel exhausted gas have been widely proven to exert a significantly harmful impact on human health and environment. This scenario has led the research community to turn the attention from particle mass to diameter and surface area. In this paper, non-thermal plasma (NTP) technology was applied to a heavy duty diesel engine. Chemical reactions of diesel particles in plasma zone were analyzed. Additionally, variation in diesel particles' number and surface area distributions, engendered by above reactions, were thoroughly investigated. The results showed that diesel exhausted particles experienced oxidation, aggregation, and crush because of enhanced plasma transports and active species in plasma zone. NTP presents excellent reduction effectiveness of diesel particles covering different sizes. Being more than 50%, the most considerable surface area concentration drop was found in correspondence of 1800 RPM. Differently, the lowest drop of surface area concentration was seen at 1200 RPM. As a result of the NTP actions, surface area concentration distributions were almost the same for diameters being larger than 0.5 µm at different engine modes, except at 900 RPM. This research made a foundation of dropping particle emissions and evaluating the effectiveness of NTP dropping particle harms to human health.

Insight into the penalty of exhaust emissions and fuel consumption by DPF regeneration of a diesel passenger car.

In order to keep high fuel economy of diesel passenger cars, Diesel particulate filter (DPF) is periodically regenerated. In the regeneration process, extra fuel is injected into combustion chambers to achieve high exhaust temperature for the purpose of oxidizing particles accumulating on DPF substrate. It generates significant impacts on passenger car performance and exhaust emissions. In this paper, real-driving performance and exhaust emissions of a diesel car were tested over sixteen drivers under real-world conditions. DPF regeneration events were identified via exhaust temperature. Vehicle power output, fuel economy, and exhaust emissions in the trips both with and without DPF regeneration were analyzed. The results indicated that DPF regeneration events occurred in three of thirty-two test trips, and the maximum exhaust temperature was 250 °C during DPF regeneration. The DPF regeneration event led to the decrease of fuel economy and the increase of particle number, nitrogen oxides and carbon dioxides emission. Particle number emission factors were increased from approximately 109 #/km to 5 × 1010 #/km during DPF regeneration. The average power output of the car was in the range of 14.5 kW-15.6 kW and 15.8 kW-18.4 kW for the trips with and without DPF regeneration, respectively. However, Carbon monoxide emission factors were insensitive to DPF regeneration in the test trips.

Relationship between dioxins and steroid hormone in 6-year-olds: A follow-up study in an e-waste region of China.

We conducted a follow-up observational study on the effects of dioxin exposure on the synthesis of steroid hormones in infants during the perinatal period. The participants included 42 pairs of mothers and infants that were previously studied in 2015. We analyzed four types of steroid hormones including progesterone, testosterone, androstenedione (A-dione), and dehydroepiandrosterone (DHEA) in the serum samples of 6-year-olds and the concentration of dioxins in breast milk. A multivariate linear regression was performed to associate steroid hormones (dependent variables) and dioxins with the body mass index (BMI), sex, age, and residence of participants (independent variables). The results were reported as ß (standardized coefficient) and p-values. We found that dioxins have a significant negative correlation with DHEA and A-dione but no significant relationship with progesterone and testosterone. However, in previous studies, we found that testosterone and progesterone levels were significantly related to dioxins in 4-year-olds. We concluded that dioxins can affect the level of steroid hormones, but their effects fluctuate, and the harm caused by dioxins in children requires further long-term monitoring.

Evaluating postnatal exposure to six heavy metals in a Chinese e-waste recycling area.

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. The breast milk was tested for six heavy metals (lead, cadmium, chromium, arsenic, copper, and manganese) using inductively coupled plasma mass spectrometry (ICP-MS). The estimated daily intake (EDI) of infants during breastfeeding was calculated to assess the impact of postnatal exposure to heavy metals on infant health. The concentrations of chromium and lead in the breast milk were significantly higher in the e-waste recycling area than in the control area. Chromium concentrations in breast milk was 34.3%, exceeding the permissible limits set by the World Health Organization (WHO), in the e-waste recycling area, which is 16 times higher than that in the control areas. The EDIs of lead and chromium in the e-waste area were twice as those in the control area. This strongly indicates that the potential impact of postnatal exposure to lead and chromium on infant and child health in e-waste recycling areas cannot be ignored. Infants and children in e-waste recycling areas are at risk of long-term exposure to heavy metals. Therefore, ongoing health monitoring is necessary.