Development of psychological resilience and associations with emotional and behavioral health among preschool left-behind children.

PURPOSE: This study aimed to explore the development of psychological resilience and its associations with emotional and behavioral health among preschool left-behind children (LBC). METHODS: LBC in 26 preschools of Fuyang City, Hefei City, and Maanshan City of Anhui Province were included at baseline survey; and baseline children in the junior and middle classes of preschools as targeted samples were recruited for the 1-year follow-up. Multivariable linear regression models were performed to examine associations of psychological resilience with emotional and behavioral health. RESULTS: In total, 1463 LBC were included at baseline and 568 of the 905 targeted LBC completed the 1-year follow-up. Change patterns of psychological resilience were identified as the stable-high pattern (19.0%), increasing pattern (18.3%), declining pattern (15.9%), and stable-low pattern (46.8%). The results showed that psychological resilience at baseline was positively associated with later dietary behavior habits and prosocial behaviors, and negatively associated with later problematic behaviors and sleep problems. In addition, children with the declining pattern had more problematic behaviors and sleep problems, and fewer prosocial behaviors at follow-up. Children with the increasing pattern and stable-high pattern had more prosocial behaviors, better dietary behavior habits, and fewer problematic behaviors and sleep problems at follow-up. CONCLUSIONS: The majority of preschool LBC had lower psychological resilience and its level among some LBC changed during the follow-up. Higher psychological resilience was a protective factor for emotional and behavioral health. Timely assessing psychological resilience and then strengthening it are needed to promote the emotional and behavioral health of preschool LBC.

Adverse childhood experiences of emotional and physical abuse and emotional and behavioral problems: the mediating effects of family function and resilience.

Adverse childhood experiences are a widespread phenomenon that can have a variety of negative effects on children. Emotional and behavioral problems (EBP) in children have been gaining interest in recent years. Therefore, this study aims to explore the association between emotional and physical abuse (EPA) and preschool children's EBP, as well as to assess the mediating effects of family function and resilience in this association. A cross-sectional study was conducted, and we recruited 3,636 participants from 26 kindergartens in three cities. Correlation analysis and regression analysis were used to test the relationships between EPA, mediators (family function and resilience), and EBP. Structural equation modeling was used to perform the mediation analyses. The results of this study showed that EPA predicted EBP in preschool children, family function, and resilience independently and in combination to mediate the relationship. Therefore, improving family function and increasing children's level of resilience are beneficial methods for the prevention and intervention of EBP in preschool children who experience EPA, but most fundamentally to avoid or reduce the occurrence of abuse. Further longitudinal studies are needed to confirm our findings and explore possible mediating mechanisms.

Short-term exposure to ambient ozone and cardiovascular mortality in China: a systematic review and meta-analysis.

Air pollution is a major public health concern in China. Notwithstanding this, there is limited evidence regarding the impact of short-term exposure to ambient ozone on cardiovascular mortality in the Chinese population. Therefore, we conducted this meta-analysis to address this important question. The random-effects model was applied to pool the results from individual studies. Finally, 32 effect estimates extracted from 19 studies were pooled in this meta-analysis. The pooled relative risk for cardiovascular mortality for each 10 µg/m3 increment in ozone concentration was 1.0068 (95% CI: 1.0049, 1.0086). Ths significant positive association between ozone exposure and cardiovascular mortality was also observed in different two-pollutant models. This meta-analysis revealed that exposure to ozone was associated with an increased risk of cardiovascular mortality in China, and more efforts on controlling the population from ozone are needed to improve cardiovascular health of Chinese population.

Combined exposure to multiple metals on cardiovascular disease in NHANES under five statistical models.

BACKGROUND: It is well-documented that heavy metals are associated with cardiovascular disease (CVD). However, there is few studies exploring effect of metal mixture on CVD. Therefore, the primary objective of present study was to investigate the joint effect of heavy metals on CVD and to identify the most influential metals in the mixture. METHODS: Original data for study subjects were obtained from the National Health and Nutrition Examination Survey. In this study, adults with complete data on 12 kinds of urinary metals (antimony, arsenic, barium, cadmium, cobalt, cesium, molybdenum, mercury, lead, thallium, tungsten, and uranium), cardiovascular disease, and core covariates were enrolled. We applied five different statistical strategies to examine the CVD risk with metal exposure, including multivariate logistic regression, adaptive elastic net combined with Environmental Risk Score, Quantile g-computation, Weighted Quantile Sum regression, and Bayesian kernel machine regression. RESULTS: Higher levels of cadmium, tungsten, cobalt, and antimony were significantly associated with Increased risk of CVD when covariates were adjusted for multivariate logistic regression. The results from multi-pollutant strategies all indicated that metal mixture was positively associated with the risk of CVD. Based on the results of multiple statistical strategies, it was determined that cadmium, tungsten, cobalt, and antimony exhibited the strongest positive correlations, whereas barium, lead, molybdenum, and thallium were most associated with negative correlations. CONCLUSION: Overall, our study demonstrates that exposure to heavy metal mixture is linked to a higher risk of CVD. Meanwhile, this association may be driven primarily by cadmium, tungsten, cobalt, and antimony. Further prospective studies are warranted to validate or refute our primary findings as well as to identify other important heavy metals linked with CVD.

The association between pregnancy and COVID-19: A systematic review and meta-analysis.

OBJECTIVES: The purpose of this study was to compare and determine whether there were any differences in clinical outcomes between pregnant and non-pregnant women who had been infected with COVID-19. METHODS: A literature search was performed in 9 databases on November 20, 2021. The relative risk (RR) with 95% confidence interval (95% CI) was used to estimate the effect of pregnancy on COVID-19 outcomes. The I square value was used to assess heterogeneity, and the random or the fixed-effects model were adopted. Sensitivity and publication bias analyses were performed. RESULTS: This study included 8 published studies with 859,278 COVID-19 female patients. The incidences of fever and cough among pregnant women with COVID-19 were 19.07% and 28.79%, respectively. Pregnancy was associated with significantly increased risks of intensive care unit (ICU) admission (RR = 2.23, 95% CI = 1.58-3.16) and ventilation (RR = 2.13, 95% CI = 1.06-4.28), but was not associated with a statistically significant increase in mortality. CONCLUSIONS: Our results suggest that pregnant women with COVID-19 have a significantly higher probability of being hospitalized to the ICU and ventilation than non-pregnant women with COVID-19. To avoid these adverse outcomes, pregnant women should take precautions (for example, reduce going out, maintain social distance, and wear a mask) to avoid COVID-19 infection. Finally, additional research into the fetal outcomes is required to better investigate the impact of COVID-19 on pregnancy.

Combined effects of multiple metals on hearing loss: A Bayesian kernel machine regression approach.

BACKGROUND: Exposure to heavy elements is considered one of the risks of hearing loss. The combined effect of multiple metals on different hearing losses has not been extensively studied. METHODS: This study deals with the association between different metals (Ba, Cd, Co, Cs, Mo, Pb, Mn, Sn, Sb, Tl, W) and hearing loss in the 2013-2018 National Health and Nutrition Examination Survey (NHANES). Associations were estimated by a generalized linear regression model (GLM) adjusting for age, gender, race/ethnicity, educational level, marital status, drinking status, hypertension, diabetes, smoking status, noise exposure, body mass index, and income-poverty ratio. The joint effects of mixed exposure were assessed by weighted quantile sum (WQS) model and Bayesian kernel machine regression (BKMR). The effect of multiple metals on speech-frequency hearing loss (SFHL) and high-frequency hearing loss (HFHL) was further calculated. The odds ratio (OR) indicates the risk of every metal exposure. RESULTS: A total of 2205 adult participants were enrolled from NHANES. Cd, Pb, Sb and Sn had significant effects on total hearing loss. The WQS model found that mixed exposure to heavy elements was significantly positively associated with total hearing loss (OR: 1.136; 95% CI: 1.031, 1.253) after adjusting for various covariates. The ORs of mixed exposure in the SFHL and HFHL groups were 1.066 (95% CI: 0.994, 1.143) and 1.102 (95% CI: 1.013, 1.199), respectively. BKMR found a significant positive association between multiple metals and hearing loss. The results showed that there may be potential interactions between Cd, Pb and other metals. CONCLUSIONS: Multiple metals have joint effects on hearing loss in the United States. The findings provide practitioners with important scientific evidence for possible interventions.

[Association between polymorphism of dopamine ß-hydroxylase gene and Parkinson's disease in Uygurs and Hans of Xinjiang].

OBJECTIVE: To explore the relationship between dopamine ß-hydroxylase gene polymorphisms and Parkinson's disease (PD) in Uygurs and Hans populations of Xinjiang. METHODS: The polymorphisms of DBH gene were determined by polymerase chain-reaction restriction fragment length polymorphism (PCR-RFLP) in 239 PD patients (including 100 Uygurs and 141 Hans) and 232 health controls (including 103 Uygurs and 129 Hans). RESULTS: The genotypic or allelic distribution of DBH gene had significant differences between PD and control groups in both Uygur and Han populations (P < 0.05). The genotypic or allelic frequencies were significantly different between Han PD and control groups (P < 0.05). The genotypic or allelic frequencies in those aged 65 years or above were significantly different from that in others (P < 0.05). There was a significant increase of PD in A2 allele carriers (OR = 1.965, P < 0.05). And the frequencies of A2 allele in female PD patients were higher than those in female controls (P < 0.05) and A2 allele carriers had a significant increase of PD (OR = 1.696, P < 0.05). CONCLUSION: Different between Uygurs and Hans of Xinjiang, DBH5 TaqI polymorphisms may be associated with PD in Hans. A2 allele carriers are often found in females and those aged 65 years or above.

Exploratory analysis of the association between pyrethroid exposure and rheumatoid arthritis among US adults: 2007-2014 data analysis from the National Health and Nutrition Examination Survey (NHANES).

Previous studies indicate that pesticide use may play an important role in the occurrence and development of rheumatoid arthritis (RA); however, little is known about the effect of specific pesticides on RA. The objective of this study was to evaluate whether pyrethroid exposure was linked to RA in adults. Data were originated from the 2007-2014 National Health and Nutrition Examination Survey (NHANES). The levels of pyrethroid exposure were assessed by 3-phenoxybenzoic acid (3-PBA) concentrations in urine samples. We built multivariate logistic regression models to assess associations between pyrethroid exposure and RA among US adults. A restricted cubic spline plot (three knots) was applied to test whether there was a nonlinear relationship between exposure to pyrethroid pesticides and the prevalence of RA. Finally, 4384 subjects were included in our analysis with 278 RA patients. In crude model, higher level of 3-PBA (creatinine-adjusted) was positively associated with RA (OR: 1.51, 95% CI: 1.07, 2.15). After adjustment for sex, race/ethnicity, education, body mass index, family poverty income, level of education, marital status, smoking status, alcohol usage, physical activity, hypertension, and urinary creatinine, the highest (vs lowest) quartile of 3-PBA was associated with an increased prevalence of RA (OR: 1.23, 95% CI: 0.86, 1.79). Significantly positive associations between 3-PBA concentration and RA were observed in the population aged between 40 and 59 years and with lower level of education. The restricted cubic spline plot presented an increase in trend and indicated that pyrethroid exposure was linearly associated with occurrence of RA (p for nonlinearity = 0.728). In conclusion, our study indicated that pyrethroid pesticide exposure was associated with an increased risk of RA. Higher levels of pyrethroid exposure were linearly associated with increased prevalence of RA in adults. Certainly, our findings are in great need of further corroboration by prospective studies with strict design.

Association between the history of abortion and gestational diabetes mellitus: A meta-analysis.

PURPOSE: Gestational diabetes mellitus (GDM) is a common metabolic disease in pregnant women. The purpose of this study was to determine whether a history of abortion increases the risk of GDM by meta-analysis. METHODS: A comprehensive literature search was conducted in nine databases of studies on the association between abortion history and GDM up to April 12, 2022. Fixed- or random-effects models were used to estimate the pooled odds ratio (OR) and 95% CI. The I square value (I2) was used to assess heterogeneity. Possible sources of heterogeneity were explored by conducting subgroup analysis and meta-regression. A sensitivity analysis was also performed for this meta-analysis. Publication bias was assessed by funnel plots and Egger's tests. RESULTS: Thirty-one studies enrolling 311,900 subjects were included in this meta-analysis. The risk of GDM was higher in women who experienced abortion than in those who did not (OR = 1.41 95% CI: 1.28-1.55, I2 = 66.8%). The risk of GDM increased with an increasing number of abortions (1 time: OR = 1.67, 95% CI = 1.26-2.22; 2 times: OR = 2.10, 95% CI = 1.26-3.49; ≥3 times: OR = 2.49, 95% CI = 1.24-5.01). Both spontaneous abortion (OR = 1.52, 95% CI = 1.30-1.78) and induced abortion (OR = 1.07, 95% CI = 1.03-1.11) were associated with an increased risk of GDM. CONCLUSIONS: A history of abortion was associated with an increased risk of GDM in pregnant women, which may be a risk factor for predicting GDM.

Prenatal stressful life events increase the prevalence of postpartum depression: Evidence from prospective cohort studies.

Postpartum depression (PPD) occurs frequently among postpartum women. Stressful life events (SLE) have gradually been recognized as risk factors for PPD. However, research on this topic has produced equivocal results. The purpose of this study was to explore whether women who experienced prenatal SLE had a higher prevalence of PPD. Electronic databases were systematically searched until October 2021. Only prospective cohort studies were included. Pooled prevalence ratios (PRs) and 95% confidence intervals (CIs) were calculated using random effects models. This meta-analysis included 17 studies involving 9822 individuals. Women who experienced prenatal SLE had a higher prevalence for PPD (PR = 1.82, 95%CI = 1.52-2.17). In subgroup analyses, a 112% and 78% higher prevalence of depressive disorders (PR = 2.12, 95%CI = 1.34-3.38) and depressive symptoms (PR = 1.78, 95%CI = 1.47-2.17) were detected in women who experienced prenatal SLE. The effect of SLE on PPD at postpartum different time points differed: PR = 3.25 (95%CI = 2.01-5.25) for ≤6 weeks, PR = 2.01 (95%CI = 1.53-2.65) for 7-12 weeks, PR = 1.17 (95%CI = 0.49-2.31) for >12 weeks. No obvious publication bias was detected. The findings support that prenatal SLE increase the prevalence of PPD. The effect of SLE on PPD tends to slightly decrease during the postpartum period. Furthermore, these findings highlight the importance of screening for PPD as early as possible, particularly among postpartum women who have experienced SLE.

Association between household air pollution and all-cause and cause-specific mortality: a systematic review and meta-analysis.

Recently, a growing number of epidemiological studies have examined the relationship between household air pollution (HAP) and all-cause and cause-specific mortality. While the results were not entirely consistent, the current study followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) protocol to conduct a comprehensive review and meta-analysis. Data sources were PubMed, Web of Science, Embase, and Cochrane Library for studies published up to 12 May 2022. The pooled relative risks (RRs) with 95% confidence intervals (CI) were used to estimate the effect of household air pollution on all-cause and cause-special mortality. Then I square value (I2) was used to assess heterogeneity, and random-effects model was used as the pooling method. Seventeen studies were included in the quantitative analysis. Our results showed a significant association between household air pollution and increased risks of all-cause mortality (RR = 1.12, 95% CI = 1.06-1.19) and cardiovascular disease mortality (RR = 1.13, 95% CI = 1.04-1.24). Similarly, the associations between household air pollution and mortality from other specific causes (respiratory, ischemic heart disease, stroke, and total cancer) were positive, although they were not statistically significant. The study suggests that exposure to household air pollution increases the risk of all-cause mortality and cardiovascular disease mortality. In addition, our results found a trend of increased mortality from the respiratory system, ischemic heart disease, stroke, and total cancer, with household air pollution.

Exploratory analysis of the association between organophosphate ester mixtures with high blood pressure of children and adolescents aged 8-17 years: cross-sectional findings from the National Health and Nutrition Examination Survey.

Epidemiological studies on the effect of organophosphate esters (OPEs) on high blood pressure (BP) among children and adolescents are scant. Therefore, the main objective of the present study was to explore the effect of exposure to OPEs on high BP among children and adolescents. A total of 1340 participants were included in the current analyses. Multivariable logistic regression models were implemented to calculate odds ratios (ORs) and corresponding 95% confidence intervals (CIs) to examine the association between OPE metabolites and high BP. We also assessed the modified effect of sex, age, and overweight/obesity on this association. Furthermore, quantile g-computation (Qgcomp) and Bayesian kernel machine regression (BKMR) were exhibited to analyze the association between multiple OPE metabolite mixtures and high BP. After adjusting for covariates, the highest (vs. lowest) tertiles of bis (1-choloro-2-propyl) phosphate (BCPP), bis-2-chloroethyl phosphate (BCEP), and di-n-butyl phosphate (DBUP) were associated with 1.23 (95% CI: 0.83, 1.83), 1.27 (95% CI: 0.85, 1.92), and 1.01 (95% CI: 0.67, 1.53) odds ratios for high BP, respectively. In the Qgcomp, a quartile increase in OPE metabolite mixtures was weakly associated with an elevated risk of high BP (adjusted OR: 1.06, 95CI%: 0.81, 1.37). The results from BKMR showed a positive trend of association between OPE metabolite mixture on the risk of high BP. In conclusion, our study demonstrated that higher levels of BCPP, BCEP, and DBUP were weakly associated with high BP among US children and adolescents. Moderate evidence suggested OPE metabolite mixtures had positive joint effects on high BP. Consequently, longitudinal studies with repeated measurements are warranted to examine the relationships between multiple OPE metabolites and high blood pressure among children and adolescents.

The relationships between sleep disturbances, resilience and anxiety among preschool children: A three-wave longitudinal study.

OBJECTIVE: This study, based on a three-wave longitudinal study, aimed to examine bidirectional relationships between sleep disturbances, resilience and anxiety symptoms among preschool children. METHODS: In total, 1169 children in the junior class of preschools were investigated three times with an interval of one year, in Anhui Province, China. Children's sleep disturbances, resilience and anxiety symptoms were all assessed in the three-wave surveys. Then, 906 children at baseline (T1), 788 children in the first follow-up study (T2), and 656 children in the second follow-up study (T3) were included in the analysis. Autoregressive cross-lagged modeling analyses were performed to examine bidirectional relationships between sleep disturbances, resilience and anxiety symptoms using Mplus 8.3. RESULTS: The mean age of the children was 3.6 ± 0.4 years at T1, 4.6 ± 0.4 years at T2, and 5.6 ± 0.4 years at T3, respectively. The results indicated that sleep disturbances at T1 significantly predicted anxiety symptoms at T2 (ß = 0.111, P = 0.001); and sleep disturbances at T2 significantly predicted anxiety symptoms at T3 (ß = 0.108, P = 0.008). Resilience only at T2 significantly predicted anxiety symptoms at T3 (ß = -0.120, P = 0.002). Anxiety symptoms did not significantly predict the two variables (sleep disturbances and resilience) at any wave. CONCLUSION: This study suggests that more sleep disturbances are longitudinally associated with subsequent high anxiety symptoms; inversely, high resilience will alleviate subsequent anxiety symptoms. These findings highlight the importance that early screening for sleep disturbances and anxiety, and strengthening resilience are beneficial to prevent preschool children from developing higher anxiety symptoms.

Association between sleep change patterns and mental health among preschoolers: The mediating role of resilience.

Sleep disturbance has been recognized as an important factor influencing mental health problems in preschool children. However, no longitudinal studies have investigated the association between sleep change patterns and mental health in preschoolers or the mediating role of resilience. Here, data were collected from 1595 preschool children in 26 kindergartens in four counties in Anhui Province, China, who were followed up (T2) 1 year apart based on baseline surveys (T1). The primary caregivers of the children were asked to complete a structured questionnaire through face-to-face interviews or by completing it themselves. Pearson's correlation and linear regression were used to analyze the relationships among sleep patterns, mental health, and resilience in preschoolers. A structural equation model was used for the mediation analysis. Four patterns of sleep change were identified: persistent-low pattern (1.7%), decreasing pattern (9.8%), increasing pattern (7.3%), and persistent-high pattern (81.3%). Compared to the persistent-low pattern, the increasing pattern and persistent-high pattern were associated with emotional behavioral problems (EBPs) and anxiety. Resilience played a fully mediating role in the relationship between increasing pattern, persistent-high pattern, and EBPs. Resilience partially mediated the effects of increasing and persistent-high pattern on anxiety. More attention should be paid to sleep problems in children with increasing and persistent-high sleep patterns. Resilience is important for understanding the mechanism underlying the correlation between sleep patterns, EBPs, and anxiety. Considering the EBPs and anxiety of preschool children, early intervention for resilience should be considered.

Family function and emotional behavior problems in Chinese children and adolescents: A moderated mediation model.

BACKGROUND: Studies have shown that family function is associated with emotional behavior problems. However, the underlying relationship mechanisms between family function and emotional behavior problems in children and adolescents is not fully understood. Therefore, the purpose of this study is to explore the mediating effect of resilience and the moderating effect of sleep quality using a moderated mediation model. METHODS: 6363 children and adolescents in grades four to nine were surveyed in some areas of Anhui Province, China. Family function, resilience, sleep quality, and emotional behavior problems were measured through a self-administered questionnaire. All data analysis was by performed by SPSS 23.0. RESULTS: The results showed that family function was negatively associated with emotional behavior problems (r = -0.307, p < 0.01). Resilience partially mediated the relationship between family function and emotional behavior problems (indirect effect = -0.108, accounted for 38.4 %). Sleep quality moderated the relationship between family function and resilience (ß = -0.039, P < 0.001). CONCLUSION: Resilience and sleep quality respectively played a mediating and moderating effect in the relationship between family function and emotional behavior problems. These findings suggest that we should pay attention to the family function of children and adolescents in time, improve their resilience and sleep quality, so as to effectively reduce the occurrence of emotional behavior problems.

Exposure to indoor air pollution from solid fuel and its effect on depression: a systematic review and meta-analysis.

A growing body of research has investigated the relationship between indoor air pollution from solid fuel and depression risk. Our study aimed to elucidate the relationship between indoor air pollution from solid fuel and depression in observational studies. The effect of indoor air pollution on depression was estimated using pooled odds ratios (ORs) with 95% confidence intervals (CIs). Heterogeneity was evaluated by the I-squared value (I2), and the random-effects model was adopted as the summary method. We finalized nine articles with 70,214 subjects. The results showed a statistically positive relationship between the use of household solid fuel and depression (OR = 1.22, 95% CI = 1.09-1.36). Subgroup analysis based on fuel type groups demonstrated that indoor air pollution from solid fuel was a higher risk to depression (OR = 1.24, 95% CI = 1. 10-1.39; I2 = 67.0%) than that from biomass (OR = 1.18, 95% CI = 0.96-1.45; I2 = 66.5%). In terms of fuel use, the use of solid fuel for cooking and heating increased depression risk, and the pooled ORs were 1.21 (95% CI = 1.08-1.36) and 1.23 (95% CI = 1.13-1.34). Exposure to indoor air pollution from solid fuel might increase depression risk.

Association between noise exposure and atrial fibrillation: a meta-analysis of cohort studies.

Noise has become an important environmental risk factor. Some studies have shown that exposure to noise can cause coronary artery disease, high blood pressure, and stroke. At present, the relationship between noise exposure and the risk of atrial fibrillation (AF) is inconsistent. Based on previous studies, we proposed the hypothesis that noise exposure is associated with a higher risk of AF. Eight databases, such as PubMed, Embase, Cochrane Library, and Web of Science, were searched from inception until January 5, 2022. The pooled relative risk (RR) with its 95% confidence interval (CI) was used to estimate the association between AF and highest noise level and per 10 dB (A) increment of noise. According to the size of heterogeneity, the random or fixed effects model was adopted as the pooling method. A total of 5 articles comprising 3,866,986 participants were identified, providing 7 estimates of highest noise level and 6 estimates of per 10 dB (A) increment of noise exposure. For the highest noise level, there was a statistically significant association between noise exposure and the risk of AF (RR = 1.05; 95% CI: 1.02-1.09; I2 = 44.1%). In addition, we found the risk of AF for per 10 dB (A) increment of noise exposure was 1.01 (95% CI: 1.00-1.02; I2 = 81.3%). In summary, our study found that noise exposure was associated with a higher risk of AF. More high-quality studies are needed in the future to confirm these conclusions given the limitations of study.

Association between exposure to organophosphorus pesticides and the risk of diabetes among US Adults: Cross-sectional findings from the National Health and Nutrition Examination Survey.

OBJECTIVE: Organophosphorus pesticides (OPPs) are commonly used pesticides across the world, however there is little epidemiological evidence linking their exposure to diabetes. Hence, this study aimed at investigating the effect of OPP exposure on the prevalence of diabetes in American adults. METHODS: Adults (≥20 years old) were eligible for this study from the National Health and Nutrition Examination Survey (NHANES). Multivariate logistic regression model was employed to explore the associations of six main urinary OPPs metabolites with diabetes. Subgroup analyses were performed by age and gender. Combined effect of OPPs metabolites on the overall association with diabetes was evaluated by weighted quantile sum regression (WQS). Furthermore, Bayesian kernel machine regression (BKMR) model was implemented to explore joint effect of multiple OPPs metabolites on diabetes. RESULTS: Ultimately, 6,593 adults were included in our analysis. Of them, 1,044 participants were determined as diabetes patients. The results of logistic regression shown that urinary OPPs metabolites concentrations, whether taken as continuous variables or quantiles, were in positive correlation with diabetes. Notably, the p for trend of diethylphosphate (DEP), a kind of OPPs metabolites, was less than 0.05 indicated that a linear trend may exist between levels of DEP and prevalence of diabetes among adults while this trend was not obversed in other OPPs metabolites. In the WQS model, combined exposure of OPPs metabolites had a significantly positive association with diabetes (OR: 1.057; 95% CI: 1.002, 1.114) and diethylphosphate (36.84%) made the largest contributor to the WQS index. The result of BKMR also suggested a positive trend of association between mixed OPPs metabolites and diabetes. CONCLUSION: Our results add credibility to the argument that OPP exposure might trigger diabetes. Certainly, prospective data are required to corroborate our findings.

The Association Between Previous Influenza Vaccination and COVID-19 Infection Risk and Severity: A Systematic Review and Meta-analysis.

INTRODUCTION: The association between influenza vaccination and COVID-19 remains controversial. This meta-analysis aimed to investigate whether influenza vaccination reduces the susceptibility and severity of SARS-CoV-2 infection. METHODS: A systematic literature search of PubMed, Web of Science, the Cochrane Library, Embase, China National Knowledge Infrastructure, SinoMed, Wanfang Data Knowledge Service Platform, and China Science and Technology Journal VIP Database was conducted from database inception to August 2021. The pooled RR with 95% CI was used to estimate the effect of influenza vaccination on COVID-19. The I2 value was used to assess heterogeneity. If I2>50%, the random-effects model was used as the pooling method. RESULTS: A total of 23 published articles with 1,037,445 participants were identified. This meta-analysis showed that influenza vaccination was associated with reduced risk of COVID-19 infection (RR=0.83, 95% CI=0.76, 0.90) and hospitalization (RR=0.71, 95% CI=0.59, 0.84), although not significantly associated with intensive care unit admission and death (risk of intensive care unit admission: RR=0.93, 95% CI=0.64, 1.36; risk of death: RR=0.83, 95% CI=0.68, 1.01). Further analysis suggested that the tetravalent influenza vaccine may be associated with a reduced risk of COVID-19 infection (RR=0.74, 95% CI=0.65, 0.84). DISCUSSION: The results suggest that influenza vaccination is associated with reduced susceptibility to or disease severity of COVID-19 and that influenza vaccination may reduce the risk of COVID-19 and improve clinical outcomes.

Systematic review and meta-analysis of studies between short-term exposure to ambient carbon monoxide and non-accidental, cardiovascular, and respiratory mortality in China.

Although a growing number of original epidemiological studies imply a link between ambient pollution exposure and mortality risk, the findings associated with carbon monoxide (CO) exposure are inconsistent. Thus, we conducted a systematic review and meta-analysis of epidemiological studies to evaluate the correlations between ambient CO and non-accidental, cardiovascular, and respiratory mortality in China. Eight databases were searched from inception to 15 May 2021. A random-effect model was used to calculate the pooled relative risks (RRs) and 95% confidence intervals (CIs). Subgroup analyses as well as sensitivity analyses were performed. The I square value (I2) was used to assess heterogeneity among different studies. The assessment of publication bias on included studies was examined by funnel plot and Egger's test. The influence of a potential publication bias on findings was explored by using the trim-and-fill procedure. Ultimately, a total of 19 studies were included in our analysis. The pooled relative risk for each 1 mg/m3 increase of ambient carbon monoxide was 1.0220 (95%CI: 1.0102-1.0339) for non-accidental mortality, 1.0304 (95%CI:1.0154-1.0457) for cardiovascular mortality, and 1.0318 (95%CI:1.0132-1.0506) for respiratory mortality. None of subgroup analyses could explain the source of heterogeneity. Exclusion of any single study did not materially alter the pooled effect estimates. Although it was suggestive of publication bias, findings were generally similar with principal findings when we explored the influence of a potential publication bias using the trim-and-fill method. Our meta-analysis demonstrated that exposure to ambient CO was positive with risk of deaths from all non-accidental causes, total cardiovascular, and respiratory diseases. Based on these findings, tougher intervention policies and initiatives to reduce the health effects of CO exposure should be established.