Trends and socioeconomic inequality of the burden of congenital abnormalities of the kidney and urinary tract among children and adolescents.

BACKGROUND: Although congenital abnormalities of the kidney and urinary tract (CAKUT) is the leading cause of childhood onset chronic kidney disease (CKD) and kidney failure, comprehensive information on the disease burden among children and adolescents globally is lacking. We aim to report the trends and socioeconomic inequality of CAKUT burden for people aged 0-24 years from 1990 to 2019·. METHODS: We reported the prevalence, mortality and disability-adjusted life-years (DALYs) for CAKUT based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, quantified the association of disease burden and socio-demographic index (SDI), calculated the slope index of inequality (SII) the relative index of inequality (RII) and concentration index. RESULTS: In 2019, the global prevalence, mortality, and DALYs of CAKUT among individuals aged 0-24 years were 167.11 (95%Confident Interval 166.97, 167.25), 0.30 (0.29, 0.30), and 32.22 (32.16, 32.29) per 100 000 population. The greatest prevalence, mortality and DALYs were recorded in the 0-4 year age group. The greatest mortality and DALYs were recorded in low SDI countries and territories. During 1990 to 2019, the prevalence, mortality and DALYs decreased globally, while in low and low-middle countries and territories the reduction was much less slower. India, Nigeria and Pakistan had the highest DALYs. Saudi Arabia and China exhibited a markedly decrease of CAKUT burden. Globally for every 0.1 increase in SDI, there was a 20.53% reduction in mortality, a 16.31% decrease in DALYs, but a 0.38% rise in prevalence. CONCLUSIONS: Inequality for disease burden of varying SDI was increasing globally. Thus, specific preventive and health service measures are needed to reduce the global burden from CAKUT.

Matching actions to needs: shifting policy responses to the changing health needs of Chinese children and adolescents.

China is home to the second largest population of children and adolescents in the world. Yet demographic shifts mean that the government must manage the challenge of fewer children with the needs of an ageing population, while considering the delicate tension between economic growth and environmental sustainability. We mapped the health problems and risks of contemporary school-aged children and adolescents in China against current national health policies. We involved multidisciplinary experts, including young people, with the aim of identifying actionable strategies and specific recommendations to promote child and adolescent health and wellbeing. Notwithstanding major improvements in their health over the past few decades, contemporary Chinese children and adolescents face distinct social challenges, including high academic pressures and youth unemployment, and new health concerns including obesity, mental health issues, and sexually transmitted infections. Inequality by gender, geography, and ethnicity remains a feature of health risks and outcomes. We identified a mismatch between current health determinants, risks and outcomes, and government policies. To promote the health of children and adolescents in China, we recommend a set of strategies that target government-led initiatives across the health, education, and community sectors, which aim to build supportive and responsive families, safe communities, and engaging and respectful learning environments. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.

Maternal exposure to ambient ozone and fetal conotruncal heart defects in China: A multicenter cohort study.

BACKGROUND: The relationships between maternal genetic and environmental exposure and conotruncal heart defects (CTDs) have been extensively investigated. Nevertheless, there is limited knowledge regarding the impact of ozone (O3) on the risk of CTDs. OBJECTIVE: To explore the correlation between maternal exposure to O3 and CTDs in China. METHODS: Pregnant women who underwent fetal echocardiography at Beijing Anzhen Hospital between January 2013 and December 2021 were enrolled. Their sociodemographic characteristics and lifestyle information, along with fetal data, were systematically collected. Fetal echocardiography was used to detect CTDs. Maternal exposure to ambient O3 during the embryonic period, the first trimester, the three months preceding the last menstrual period, and the perinatal period was estimated using residential addresses or hospital addresses associated with prenatal visits. The concentration of O3 was divided by quartiles, with the first quartile serving as a reference. Adjusted logistic regression models were employed to examine the associations between every 10 µg/m3 increase or quartile increase in ambient O3 exposure and CTDs. RESULTS: Among 24,278 subjects, 1069 exhibited fetuses with CTDs. Maternal exposure to ambient O3 during three pregnancy periods was associated with increased CTD risk. The adjusted odds ratio (OR) and 95% confidence interval (CI) were 1.271 (1.189-1.360) per 10 µg/m3 increase in O3 during the perinatal period. For each quartile of O3, the risk increased with increasing exposure concentration, particularly during the perinatal period (OR = 2.206 for quartile 2, 2.367 for quartile 3, and 3.378 for quartile 4, all P<0.05). CONCLUSIONS: Elevated maternal exposure to O3 during pregnancy, particularly in the perinatal period, is linked to an increased risk of fetal CTDs. Further longitudinal analyses are needed to validate these results.

Inversion of heavy metal content in soil using hyperspectral characteristic bands-based machine learning method.

The global concern regarding the adverse effects of heavy metal pollution in soil has grown significantly. Accurate prediction of heavy metal content in soil is crucial for environmental protection. This study proposes an inversion analysis method for heavy metals (As, Cd, Cr, Cu, Ni, Pb) in soil based on hyperspectral and machine learning algorithms for 21 soil reference materials from multiple provinces in China. On this basis, an integrated learning model called Stacked RF (the base model is XGBoost, LightGBM, CatBoost, and the meta-model is RF) was established to perform soil heavy metal inversion. Specifically, three popular algorithms were initially employed to preprocess the spectral data, then Random Forest (RF) was used to select the best feature bands to reduce the impact of noise, finally Stacking and four basic machine learning algorithms were used to establish comparisons and analysis of inversion model. Compared with traditional machine learning methods, the stacking model showcases enhanced stability and superior accuracy. Research results indicate that machine learning algorithms, especially ensemble learning models, have better inversion effects on heavy metals in soil. Overall, the MF-RF-Stacking model performed best in the inversion of the six heavy metals. The research results will provide a new perspective on the ensemble learning model method for soil heavy metal content inversion using data of hyperspectral characteristic bands collected from soil reference materials.

Maternal Exposure to Extreme Cold Events and Risk of Congenital Heart Defects: A Large Multicenter Study in China.

Over the past decade, extreme temperature events have become more frequent and longer in duration. Previous studies on the association between extreme cold events (ECEs) and congenital heart defects (CHDs) are few and inconsistent. We conducted a national multicenter study in 1313 hospitals in 26 provinces in China and collected a total of 14 808 high CHD-risk participants from 2013 to 2021. We evaluated the ECEs experienced by each pregnant women during the embryonic period (3-8 weeks). The results indicated that ECEs experienced by pregnant women during the embryonic period were associated with the development of fetal CHD and were more strongly associated with some specific fetal CHD subtypes, such as pulmonary stenosis, pulmonary atresia, and tetralogy of Fallot. Of the CHD burden, 2.21% (95% CI: 1.43, 2.99%)-2.40% (95% CI: 1.26, 3.55%) of fetal CHD cases were attributable to ECEs during the embryonic period. Our findings emphasize the need to pay more attention to pregnant women whose embryonic period falls during the cold season to reduce cold spell detriments to newborns.

Cardiovascular health status in Chinese school aged children / 中国学校卫生

Objective@#The American Heart Association released the Life s Essential 8 (LE 8) for the overall evaluation of cardiovascular health (CVH) on individual level. The present study aimed to describe the overall CVH in Chinese school aged children using LE 8 metrics.@*Methods@#Data of the present analysis came from a national representative multicentered cross sectional study conducted in 7 provinces of China in 2013. The original study used a multistage cluster sampling method. A total of 10 326 children aged 5 to 19 years with complete data of health behaviors and health outcomes were included in the study. Children s health behavior indicators included diet, physical activity, nicotine exposure and sleep health. Health outcome factors included body mass index, fast blood glucose, lipid profile and blood pressure.@*Results@#The median CVH score was 73.3 ( IQR =14.4) in boys and 73.4 ( IQR = 13.5) in girls. Compared to children aged ≤9 years, the health behavior scores were lowest in the 13-15 age group, with boys scoring 7.73 lower (95% CI =-8.35--7.12, P <0.01) and girls scoring 9.15 (95% CI =-9.83--8.48, P <0.01) lower. The ≥16 age group had the lowest health outcome scores, with boys scoring 7.85 (95% CI =-9.07--6.63, P <0.01) lower and girls scoring 6.11 (95% CI =-7.12--5.09, P <0.01) lower.@*Conclusions@#Chinese school aged children are generally at a moderate level of cardiovascular health. Specific LE 8 components vary substantially between groups and therefore require targeted intervention strategies.

Long-term exposure to exogenous phthalate, masculinity and femininity trait, and gender identity in children: a Chinese 3-year longitudinal cohort study.

BACKGROUND: Phthalate esters (PAEs) are known to have hormone-like properties, and there is a growing trend of children expressing a gender identity different from assigned sex. However, there has been limited research in the potential links between PAEs exposure and gender identity. METHODS: A total of 571 children (278 boys) completed the follow-up from Oct 2017 to Oct 2020 in Childhood Blood Pressure and Environmental Factors (CBPEF) cohort in Xiamen, China. Urinary PAE metabolites were measured at three time of visits using ultraperformance liquid chromatography-tandem mass spectrometry. The Children's Sex Role Inventory scale was used to assess gender identity (masculinity, femininity, androgyny and undifferentiated), and Tanner definition was used to define puberty timing. Generalized linear models and log-binomial regression were used to assess the relationships between PAEs exposure, gender trait scores and gender identity. RESULTS: Overall, the concentration of most PAEs in more than 90% of participants was above the limit of detection values. In visit 1, there were 10.1% boys with femininity and 11.3% girls with masculinity; while these figures increased to 10.8% and 12.3% during follow-up, respectively. Early puberty onset accounted for 24.8% and 25.6% among boys and girls. Long-term exposure to mono-2-ethylhexyl phthalate (MEHP) (ß = 1.20, 95%CI = 0.13, 2.28), mono-2-ethyl-5-hydroxyhexyl phthalate (MEHHP) (ß = 1.25, 95%CI = 0.22, 2.28) and mono-2-ethyl-5-oxohexyl phthalate (MEOHP) (ß = 1.40, 95%CI = 0.24, 2.56) was associated with the increased differences of femininity trait scores in boys who enter puberty earlier, prolonged exposure to di(2-ethylhexyl) phthalate (DEHP) might also have such a positive impact (ß = 1.38, 95%CI = 0.36, 2.41). For gender identity, persistent exposure to low molecular weight phthalates (LMWP) was negatively associated with undifferentiated type among boys entering puberty earlier (RR = 0.18, 95%CI = 0.05, 0.75, P < 0.05), and most of the PAE metabolites exposures showed risk ratios > 1 for their femininity. CONCLUSION: Long-term exposure to PAEs increase the femininity trait scores in boys with early onset of puberty. Although the mechanisms remain to be determined, environmental pollution might have subtle, yet measurable effects on childhood gender identity. Reducing these chemicals exposure has important public implications on gender development.

Association of Sugar-Sweetened Beverage Consumption and Moderate-to-Vigorous Physical Activity with Childhood and Adolescent Overweight/Obesity: Findings from a Surveillance Project in Jiangsu Province of China.

Sugar-sweetened beverage (SSB) consumption and inadequate moderate-to-vigorous physical activity (MVPA) have been suggested as potential contributors to overweight/obesity during childhood or adolescence; however, the results of previous studies are inconsistent. It was crucial to estimate the independent and joint association of SSB consumption and inadequate MVPA for childhood and adolescent overweight/obesity. The "Surveillance for Common Disease and Health Risk Factors Among Students in Jiangsu Province 2021-2022" initiative provided us with representative population-based data that we studied. SSB consumption and inadequate MVPA were determined by self-reported SSB habit and MVPA frequency (days/week). The body mass index for each gender and age subgroup was used to identify those who were overweight or obese. With stratified analyses to ascertain differences in age or gender, we employed the logistic regression model to assess the association of SSB and MVPA with overweight/obesity and applied the likelihood ratio test to explore the interactions. Approximately 38.2% of the study population (119,467 students aged 8-17) were overweight/obese. After adjusting covariates, SSB consumption or inadequate MVPA was associated with overweight/obesity (OR = 1.05, 95% CI = 1.02-1.07; and OR = 1.07, 95% CI = 1.03-1.10). In comparison to students with "no SSB consumption and adequate MVPA", those with "SSB consumption and inadequate MVPA" had a higher risk of being overweight/obese (OR = 1.13, 95% CI = 1.08-1.18). Regardless of age and gender subgroups, the correlation of SSB and MVPA alone and together with being overweight/obese was generally similar, with the adolescent group aged 13-17 years (OR = 1.15, 95% CI = 1.09-1.22) and females (OR = 1.09, 95% CI = 1.02-1.17) being more susceptible. Moreover, there was a significant interaction between SSB consumption and gender (p < 0.001), as well as between SSB consumption and inadequate MVPA (p = 0.008). Hence, SSB consumption in students is significantly associated with overweight/obesity, especially when MVPA is inadequate. In light of the rapidly expanding childhood and adolescent obesity epidemic, proper attention should be given to these modifiable behaviors, particularly SSB and MVPA.

Interaction between ozone and paternal smoking on fetal congenital heart defects among pregnant women at high risk: a multicenter maternal-fetal medicine study.

BACKGROUND: Evidence remains limited on the association between maternal ozone (O3) exposure and congenital heart defects (CHDs) in offspring, and few studies have investigated the interaction and modification of paternal smoking on this association. METHODS: Using a sample including pregnant women at high risk of fetal CHD (with metabolic disease, first-trimester viral infection, family history of CHD, etc.) from a maternal-fetal medicine study covering 1313 referral hospitals in China during 2013-2021, we examined the associations between maternal O3 exposure during 3-8 weeks of gestational age and fetal CHD in offspring and investigated the interaction and modification of paternal smoking on this association. CHD was diagnosed by fetal echocardiograms, maximum daily 8-hour average O3 exposure data at a 10 km × 10 km spatial resolution came from the Tracking Air Pollution in China dataset, and paternal smoking was collected using questionnaires. Logistic regression models were used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Among 27,834 pregnant women at high risk of fetal CHD, 17.4% of fetuses were diagnosed with CHD. Each 10 µg/m3 increase in maternal O3 exposure was associated with a 17% increased risk of CHD in offspring (OR = 1.17, 95% CI = 1.14-1.20). Compared with paternal nonsmoking and maternal low O3 exposure, the ORs (95% CI) of CHD for smoking and low O3 exposure, nonsmoking and high O3 exposure, and smoking and high O3 exposure were 1.25 (1.08-1.45), 1.81 (1.56-2.08), and 2.23 (1.84-2.71), respectively. Paternal smoking cessation seemingly mitigated the increased risk of CHD. CONCLUSIONS: Maternal O3 exposure and paternal smoking were interactively associated with an increased risk of fetal CHD in offspring, which calls for effective measures to decrease maternal exposure to O3 pollution and secondhand smoke for CHD prevention.

Surface Enhancement Effects of Tiny SnO2 Nanoparticle Modification on α-Fe2O3 for Room-Temperature NH3 Sensing.

The development of a gas sensor capable of detecting ammonia with high selectivity and rapid response at room temperature has consistently posed a formidable challenge. To address this issue, the present study utilized a one-step solvothermal method to co-assemble α-Fe2O3 and SnO2 by evenly covering SnO2 nanoparticles on the surface of α-Fe2O3. By controlling the morphology and Fe/Sn mole ratio of the composite, the as-prepared sample exhibits high-performance detection of NH3. At room temperature conditions, a gas sensor composed of α-Fe2O3@3%SnO2 demonstrates a rapid response time of 14 s and a notable sensitivity of 83.9% when detecting 100 ppm ammonia. Experiments and density functional theory (DFT) calculations suggest that the adsorption capacity of α-Fe2O3 to ammonia is enhanced by the surface effect provided by SnO2. Meanwhile, the existence of SnO2 tailors the pore structure and effective surface area of α-Fe2O3, creating multiple channels for the diffusion and adsorption of ammonia molecules. Additionally, an N-N heterostructure is formed between α-Fe2O3 and SnO2, which enhances the potential energy barrier and improves the ammonia sensing performance. Demonstration experiments have proved that the sensor shows significant advantages over commercial sensors in the process of ammonia detection in agricultural facilities. This work provides new insights into the perspectives on ammonia detection at room temperature.

ASFL-YOLOX: an adaptive spatial feature fusion and lightweight detection method for insect pests of the Papilionidae family.

Introduction: Insect pests from the family Papilionidae (IPPs) are a seasonal threat to citrus orchards, causing damage to young leaves, affecting canopy formation and fruiting. Existing pest detection models used by orchard plant protection equipment lack a balance between inference speed and accuracy. Methods: To address this issue, we propose an adaptive spatial feature fusion and lightweight detection model for IPPs, called ASFL-YOLOX. Our model includes several optimizations, such as the use of the Tanh-Softplus activation function, integration of the efficient channel attention mechanism, adoption of the adaptive spatial feature fusion module, and implementation of the soft Dlou non-maximum suppression algorithm. We also propose a structured pruning curation technique to eliminate unnecessary connections and network parameters. Results: Experimental results demonstrate that ASFL-YOLOX outperforms previous models in terms of inference speed and accuracy. Our model shows an increase in inference speed by 29 FPS compared to YOLOv7-x, a higher mAP of approximately 10% than YOLOv7-tiny, and a faster inference frame rate on embedded platforms compared to SSD300 and Faster R-CNN. We compressed the model parameters of ASFL-YOLOX by 88.97%, reducing the number of floating point operations per second from 141.90G to 30.87G while achieving an mAP higher than 95%. Discussion: Our model can accurately and quickly detect fruit tree pest stress in unstructured orchards and is suitable for transplantation to embedded systems. This can provide technical support for pest identification and localization systems for orchard plant protection equipment.

Higher vegetable consumption is related to a lower risk of cardiometabolic risk cluster among children and adolescents: A national cross-sectional study in China.

BACKGROUND AND AIMS: Evidence about the association between vegetable consumption and cardiometabolic risk factors (CMRFs) cluster among children and adolescents was inconsistent. We aimed to investigate the prevalence of CMRFs and CMRFs cluster, and to evaluate their associations with vegetable consumption. METHODS AND RESULTS: A total of 14,061 participants aged 6-19 years were recruited from 7 provinces of China. A standard physical examination, including height, weight and blood pressure, was conducted. Information regarding CMRFs was obtained through anthropometric measurements and blood sample testing, while weekly frequency and daily servings of vegetable consumption data collected by questionnaires. Logistic regression models were used to analyze the odds ratios (OR) for associations between CMRFs, CMRFs cluster and vegetable consumption. The prevalence of no CMRFs cluster among children and adolescents was 26.4%. Participants whose daily vegetable consumption was 0.75-1.5 and ≥1.5 servings showed a lower risk of high blood pressure (HBP), high total cholesterol (TC), high triglyceride (TG), and high low-density lipoprotein cholesterol (LDL-C) compared to those with daily vegetable consumption of <0.75 servings. Besides, higher average daily vegetable consumption was strongly associated with lower risks of CMRFs cluster. Stratified analyses showed that the protective effects of more vegetable intake on CMRFs cluster were profounder in boys and young adolescents. CONCLUSION: More vegetable intake was associated with lower risks of CMRFs cluster in Chinese children and adolescents aged 6-19 years, which further highlighted the significance of vegetable consumption to improve the cardiometabolic risk status.

Association between Diet Quality and Stroke among Chinese Adults: Results from China Health and Nutrition Survey 2011.

The low-burden Diet Quality Questionnaire (DQQ) is a standardized tool to collect indicators of dietary adequacy as well as indicators of the protection of health against noncommunicable diseases (NCDs) within the framework of the global diet quality project. Stroke is the leading cause of the cardiovascular disease burden in China, with poor diet being one of the major risk factors. In this study, we aimed to understand the association of several indicators of diet quality derived from the DQQ with stroke among Chinese adults and, further, to examine the gender differences using the 2011 wave of the China Health and Nutrition Survey. Multivariable logistic regression was used to examine the associations of the NCD-Protect score, NCD-Risk score, and global dietary recommendations score (GDR) score with stroke. There were 192 stroke cases (121 in men and 71 in women) of 12,051 adults. The continuous NCD-Risk score was positively associated with stroke in women (odds ratio (OR) = 1.52, 95% confidence interval (CI): 1.13-2.06). When compared with women with an NCD-Risk score of 0 points, those with an NCD-Risk score ≥2 points had a higher risk of stroke (OR = 2.71, 95% CI: 1.35-5.43). In addition, compared with women with a GDR score ≤0, those with a GDR score ≥2 points had lower odds of stroke (OR = 0.42, 95% CI: 0.22-0.77). Poor diet quality, as reflected by the NCD-Risk score, was associated with an increased risk of stroke in Chinese women, but not in men. Our findings provided evidence that an optimal diet quality could be conducive to preventing stroke for Chinese women and suggested a diverse diet characterized by the limited consumption of unhealthy foods, such as red meat, processed meat, sweets, soft drinks (sodas), and packaged ultra-processed salty snacks.

Burden of non-communicable diseases among adolescents and young adults aged 10-24 years in the South-East Asia and Western Pacific regions, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.

BACKGROUND: Although non-communicable diseases (NCDs) remain the leading causes of mortality and disability worldwide, little comprehensive or recent evidence of the burden of NCDs among adolescents and young adults in the South-East Asia and Western Pacific regions is available. We aimed to report population shifts in people aged 10-24 years and their NCD burden from 1990 to 2019 using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS: We retrieved data from GBD 2019 for people aged 10-24 years in the South-East Asia and Western Pacific regions from 1990 to 2019. We presented population shifts and analysed deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for NCDs. We also quantified the associations of deaths and DALYs with the Socio-demographic Index (SDI) and Universal Health Coverage (UHC) effective coverage index using Spearman correlation and linear regression analyses. Percentages are reported to 1 decimal place and rates are reported to 2 decimal places. FINDINGS: In 2019, there were 559·2 million young people aged 10-24 years in the South-East Asia region and 335·0 million in the Western Pacific region; India and China remained the countries with greatest number of this age group. In 1990-2019, India had an absolute increase of 139·4 million adolescents, while China had a decrease of 134·3 million. In 2019, NCDs accounted for 27·3% (95% uncertainty interval 25·1 to 29·2) and 34·6% (33·5 to 36·1) of total deaths, and 49·8% (45·3 to 54·4) and 65·1% (60·6 to 69·3) of total DALYs in the South-East Asia and the Western Pacific regions, respectively. Neoplasms, cardiovascular diseases, and mental disorders were the leading causes of NCD burden in 42 countries. Kiribati had the highest rates of deaths (62·82 [50·77 to 76·11] per 100 000 population), YLLs (4364·73 [3545·04 to 5275·63] per 100 000 population), and DALYs (9368·73 [7713·65 to 11340·99] per 100 000 population) for NCDs, whereas Australia (6976·51 [5044·46 to 9190·01] per 100 000 population) and New Zealand (6716·81 [4827·25 to 8827·69] per 100 000 population) had the largest rates of YLDs due to NCDs. From 1990 to 2019 across both regions, the rate of death due to NCDs declined by over a third (-32·8% [-41·1 to -22·9] in the South-East Asia region and -40·0% [-48·6 to -30·4] in the Western Pacific region), and DALYs decreased by about 12% (-12·0% [-16·8 to -7·7] in the South-East Asia region and -12·8% [-17·7 to -8·7] in the Western Pacific region), whereas the proportion of NCD burden relative to all-cause burden increased (45·7% [32·9 to 61·7] for deaths and 41·2% [35·2 to 48·8] for DALYs in the South-East Asia region; 11·8% [7·1 to 21·5] for deaths and 18·2% [14·6 to 22·0] for DALYs in the Western Pacific region). The rate of deaths and DALYs due to NCDs decreased monotonically alongside increases in SDI (rs=-0·57 [95% CI -0·81 to -0·32] for deaths and rs=-0·30 [-0·61 to 0·03] for DALYs). The rate of deaths (rs=-0·89 [95% CI -0·97 to -0·80]) and DALYs (rs=-0·67 [-0·93 to -0·41]) due to NCDs also decreased alongside increases in the UHC effective coverage index. INTERPRETATION: Specific preventive and health service measures are needed for adolescents and young adults in countries with different levels of socioeconomic development to reduce the burden from NCDs. FUNDING: National Natural Science Foundation of China. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.

Gender-specific associations between types of childhood maltreatment and major depressive disorder: A matched case-control study.

INTRODUCTION: Major depressive disorder (MDD) has been found to be nearly twice as prevalent in females as in males. One hypothesis proposed that abused females were particularly prone to MDD. We aim to examine the sex-specific associations between various types of childhood trauma and MDD. METHODS: In this study, 290 outpatients diagnosed with MDD were recruited from Beijing Anding Hospital, and 290 healthy volunteers were recruited from neighborhoods nearby the hospital, with sex, age, and family history matched. Childhood Trauma Questionnaire-Short Form (CTQ-SF) developed by Bernstein et al. was used to assess the severity of five different types of childhood abuse and neglect. McNemar's test and conditional logistic regression models with potential confounders (i.e., marital status, educational level, and body mass index) controlled were used to explore the sex-specific associations between different types of childhood maltreatment and MDD. RESULTS: In the full sample, patients with MDD showed a significant higher rate of any childhood maltreatment (i.e., emotional abuse, sexual abuse, physical abuse, emotional neglect, and physical neglect). Among females, all types of childhood abuse were statistically significant. For males, significant differences were only found in emotional abuse and in emotional neglect. CONCLUSION: It would appear that MDD in the outpatients is associated with any type of childhood trauma in women and emotional abuse or neglect in men.

The association between maternal air pollution exposure and the incidence of congenital heart diseases in children: A systematic review and meta-analysis.

Congenital heart diseases (CHDs) are a prevalent form of congenital malformations in newborns. Although previous studies have explored the association between maternal exposure to ambient air pollution and congenital anomalies in offspring, the results still remain ambiguous. To fill the knowledge gap, we performed a systematic review and meta-analysis of existing literature. A comprehensive search of the literature was conducted in PubMed, Embase, and Web of Science until August 12, 2022. We analyzed the relationship between air pollution and multiple CHDs using either a fixed-effect model or a random-effects model. Summary risk estimates of pollution-outcome pairs were calculated based on (i) risk per increment of concentration and (ii) risk at high versus low exposure levels. Additionally, we performed leave-one-out analyses and used funnel plots to assess the potential publication bias. A total of 32 studies were included and four studies utilizing distributed lag nonlinear models (DLNM) models were added to our retrospective review. In the continuous exposure meta-analysis, there were statistically significant negative associations between sulfur dioxide (SO2) and transposition of the great arteries (OR = 0.96; 95 % CI: 0.93-0.99), pulmonary artery and valve defect (OR = 0.90; 95 % CI: 0.83-0.97), and ventricular septal defect (OR = 0.95; 95 % CI: 0.91-0.99). High versus low SO2 exposure was associated with a decreased risk of tetralogy of Fallot [OR = 0.83; 95 % CI: 0.69-0.99]. However, carbon monoxide (CO) increased risk estimates for tetralogy of Fallot in both continuous exposure (OR = 2.25; 95 % CI: 1.42-3.56) and high-low exposure (OR = 1.24; 95 % CI: 1.01-1.54). Particulate matter 10 (PM10) statistically significant increased in the risk of overall CHD with odds ratios of 1.03 (95 % CI: 1.01-1.05) and 1.04 (95 % CI: 1.00-1.09) in continuous and categorical exposure analysis, respectively. These findings provide potential evidence for the association between maternal air pollution exposure and CHDs.

Persistent high exposure to exogenous phthalates and endogenous sex hormones associated with early pubertal onset among children: A 3.5-year longitudinal cohort study in China.

BACKGROUND: Early onset of puberty could have significant impacts on childhood health, but the extent to which it was affected by phthalate esters (PAEs) and sex hormone disruption was not understood. The aim of this study is to investigate the associations between exposure to PAEs and sex hormone disruption and early onset of puberty in children. METHODS: A longitudinal cohort study was conducted in China from May 2017 to Oct 2020, involving 740 children during consecutive visits. The onset of puberty was evaluated using Tanner definition, and early puberty was defined as an onset age less than the first 25 %, with cut-offs of 10.33 and 8.97 years for boys and girls, respectively. Serum testosterone (TT), estradiol (E2) and urinary PAE metabolites were measured during three visits. Generalized linear models were used to explore the associations between PAE and sex hormones with the age of puberty onset, while log-binomial regressions were applied to assess the associations of persistent exposure to PAEs and sex hormones with early pubertal onset. RESULTS: Approximately 86.0 % of boys and 90.2 % of girls completed puberty onset from pre-puberty, and more than 95 % of participants had PAE concentrations higher than the limit of detection. Boys showed higher exposure to PAE pollutants and higher TT levels. Persistent exposure to PAEs was positively associated with early pubertal onset in girls (ARR = 1.97, 95 %CI = 1.12, 3.46). Moreover, persistent exposure to PAEs and E2 had synergistic associations with early pubertal onset in both boys (ARR = 4.77, 95 %CI = 1.06, 21.54) and girls (ARR = 7.07, 95 %CI = 1.51, 33.10). However, PAEs and TT had antagonistic associations only in boys (ARR = 0.44, 95 %CI = 0.07, 2.58). CONCLUSION: Long-term exposure to PAEs might increase the risk of early pubertal onset, and it appears to work in synergy with E2, while in antagonism with TT in boys' early pubertal onset. Reducing PAEs exposure might promote pubertal health.

Study on detection method of microplastics in farmland soil based on hyperspectral imaging technology.

Microplastics (MPs) in farming soils can have a substantial impact on soil ecology and agricultural productivity, as well as affecting human health and the food chain cycle. As a result, it is vital to study MPs detection technologies that are rapid, efficient, and accurate in agriculture soils. This study investigated the classification and detection of MPs using hyperspectral imaging (HSI) technology and a machine learning methodology. To begin, the hyperspectral data was preprocessed using SG convolution smoothing and Z-score normalization. Second, the feature variables were extracted from the preprocessed spectral data using bootstrapping soft shrinkage, model adaptive space shrinkage, principal component analysis, isometric mapping (Isomap), genetic algorithm, successive projections algorithm (SPA), and uninformative variable elimination. Finally, three support vector machine (SVM), back propagation neural network (BPNN), and one-dimensional convolutional neural network (1D-CNN) models were developed to classify and detect three microplastic polymers: polyethylene, polypropylene, and polyvinyl chloride, as well as their combinations. According to the experimental results, the best approaches based on three models were Isomap-SVM, Isomap-BPNN, and SPA-1D-CNN. Among them, the accuracy, precision, recall and F1_score of Isomap-SVM were 0.9385, 0.9433, 0.9385 and 0.9388, respectively. The accuracy, precision, recall and F1_score of Isomap-BPNN were 0.9414, 0.9427, 0.9414 and 0.9414, respectively, while the accuracy, precision, recall and F1_score of SPA-1D-CNN were 0.9500, 0.9515, 0.9500 and 0.9500, respectively. When their classification accuracy was compared, SPA-1D-CNN had the best classification performance, with a classification accuracy of 0.9500. The findings of this study shown that the SPA-1D-CNN based on HSI technology can efficiently and accurately identify MPs in farmland soils, providing theoretical backing as well as technical means for real-time detection of MPs in farmland soils.

Changing profiles of cardiovascular disease and risk factors in China: a secondary analysis for the Global Burden of Disease Study 2019.

BACKGROUND: Understanding the changing profiles of cardiovascular disease (CVD) and modifiable risk factors is essential for CVD prevention and control. We aimed to report the comprehensive trends in CVD and risk factors in China from 1990 to 2019. METHODS: Data on the incidence, death, and disability-adjusted life years (DALYs) of total CVD and its 11 subtypes for China were obtained from the Global Burden of Disease Study 2019. The CVD burden attributable to 12 risk factors was also retrieved. A secondary analysis was conducted to summarize the leading causes of CVD burden and attributable risk factors. RESULTS: From 1990 to 2019, the number of CVD incidence, death, and DALYs considerably increased by 132.8%, 89.1%, and 52.6%, respectively. Stroke, ischemic heart disease, and hypertensive heart disease accounted for over 95.0% of CVD deaths in 2019 and remained the top three causes during the past 30 years. Between 1990 and 2019, the age-standardized rate of stroke decreased significantly (percentage of decreased incidence: -9.3%; death: -39.8%; DALYs: -41.6%), while the rate of ischemic heart disease increased (percentage of increased incidence: 11.5%; death: 17.6%; DALYs: 2.2%). High systolic blood pressure, unhealthy diet, tobacco, and air pollution continued to be the major contributors to CVD deaths and DALYs (attributing to over 70% of the CVD burden), and the high body mass index (BMI)-associated CVD burden had the largest increase between 1990 and 2019. CONCLUSIONS: The significant increases in the number of CVD incident cases, deaths, and DALYs suggest that the CVD burden is still a concern. Intensified strategies and policies are needed to maintain promising progress in stroke and to reduce the escalating burden of ischemic heart disease. The CVD burden attributable to risk factors has not yet made adequate achievements; even worse, high BMI has contributed to the increasing CVD burden.