The interaction between physical activity and ambient particulate matters on cognitive function among Chinese community-dwelling older adults.

BACKGROUND: The interaction between physical activity (PA) and ambient particulate matters (PMs) on cognition is rarely investigated. Our study aimed to assess the interactions of PA and PMs on cognitive function in older adults. METHODS: Our study comprised 3937 Chinese community-dwelling older adults. Cognition was evaluated using the Mini-Mental State Examination. PA information was gathered using the International Physical Activity Questionnaire. The data of PMs were obtained from China High Air Pollutants (CHAP). Linear regressions model and interaction plots were applied to assess and visualize the interaction of PA and PMs on cognition, respectively. Bayesian kernel machine regression (BKMR) method was employed to visualize discernible thresholds for the interaction. RESULTS: PMs were negatively associated with MMSE scores (PM1: ß = -0.40, 95 % CI: -0.58, -0.28; PM2.5: ß = -0.46, 95 % CI: -0.64, -0.29; PM10: ß = -0.44, 95 % CI: -0.61, -0.26), and PA was positively affiliated with MMSE scores (ß = 0.18, 95 % CI: -0.01, 0.38). Interaction plots and BKMR demonstrated that adverse connotations of PMs with MMSE increased with the elevated PA levels, and the positive associations of PA with MMSE scores were attenuated by increased PMs (all Pinteraction < 0.20). Discernible thresholds for the interaction between PMs and PA on MMSE were found. CONCLUSIONS: Our findings suggest that PA should not be taken at higher PMs concentrations, and that low level of PA could be performed in PMs polluted environment to improve cognitive function. Further experimental and cohort researches are required to reproduce our discovery.

Associations of toxic metals and their mixture with hyperuricemia in Chinese rural older adults.

Previous studies have related single toxic metals (TMs) to hyperuricemia (HUA) among the general population, however, the association of the TM mixture with HUA, especially in older adults, remains poorly understood. We aimed to examine the relationships between individual TMs and their mixture and HUA in Chinese rural older adults. This study consisted of 2075 rural older adults aged 60 years or over. Blood concentrations of aluminum (Al), arsenic (As), barium (Ba), cadmium (Cd), cesium (Cs), gallium (Ga), mercury (Hg), lead (Pb), thallium (Tl), and uranium (U) were detected using inductively coupled plasma mass spectrometry. The associations of single TMs with HUA were assessed using logistic regression and restricted cubic spline (RCS) models, and the association of TM mixture with HUA was explored using the elastic net with environmental risk score (ENET-ERS), quantile g-computation (QGC), and Bayesian kernel machine regression (BKMR) models, respectively. Adjusted logistic regression model showed that Cs (OR = 1.65, 95% CI 1.37-1.99) and Pb (OR = 1.46, 95% CI 1.28-1.67) were positively related to HUA, and RCS model exhibited a positive linear association of Cs and Pb with HUA. ENET-ERS and QGC models quantified a positive correlation between the TM mixture and the odds of HUA, with estimated ORs of 1.15 (95% CI 1.11-1.19) and 1.84 (95% CI 1.37-2.47), respectively, and Cs and Pb had the most weight. BKMR model demonstrated a significant linear association between the TM mixture and increased odds of HUA, with the posterior inclusion probabilities (PIPs) of both Cs and Pb being 1.00. Moreover, we observed a positive interaction between Cs and Pb on HUA. The TM mixture is associated with increased odds of HUA in rural older adults, which may mainly be driven by Cs and Pb. Subsequent studies are warranted to confirm these findings and clarify the mechanisms linking multiple TMs with HUA.

APOE ε4 allele modifies the associations of toxic metals and their mixture with cognitive impairment among older adults.

BACKGROUND: The evidence of interactive effect of the toxic metal (TM) mixture and apolipoprotein E (APOE) ε4 gene on cognitive impairment in older adults is scarce. We aimed to explore whether the associations of single TMs and their mixture with cognitive impairment depend on APOE ε4 in Chinese community-dwelling older people. METHODS: A total of 1148 older adults from a subset of the baseline survey of a cohort study were included. Blood arsenic (As), cadmium (Cd), lead (Pb), strontium (Sr), and vanadium (V) were detected by inductively coupled plasma mass spectrometry. APOE gene (rs429358, rs7412) polymorphisms were analyzed by the Polymerase Chain Reaction instrument. Mixed effects logistic regression was applied to estimate the relationships of single TMs and APOE genotype with cognitive impairment. Weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models were performed to examine joint impacts of the TM mixture, as well as the interaction of the TM mixture with APOE ε4 genotype on cognitive impairment. RESULTS: Pb displayed a significant linear association with an increased odds of cognitive impairment after adjustment for covariates (Ptrend = 0.045). While APOE genotype did not show a significant correlation with cognitive impairment. WQS showed that the TM mixture was associated with an increased risk of cognitive impairment by 31.0% (OR=1.31, 95% CI: 0.92, 1.87) while no significance was found. BKMR exhibited a significant linear association between the TM mixture and cognitive impairment. Moreover, both WQS and BKMR indicated that Pb contributed the most to cognitive impairment within the mixture. Significant interactions of Pb or the TM mixture and APOE genotype on cognitive impairment were observed, contributing to 38.1% and 38.2% of total effects, respectively. CONCLUSIONS: APOE ε4 allele amplifies the associations of single Pb or the TM mixture with cognitive impairment. These findings may help to develop precision prevention.

Ferroelectric BaTiO3 Regulating the Local Electric Field for Interfacial Stability in Solid-State Lithium Metal Batteries.

Solid-state Li metal batteries (SSLMBs) are widely investigated since they possess promising energy density and high safety. However, the poor interfacial compatibility between the electrolyte and electrodes limits their promising development. Herein, a robust composite electrolyte (poly(vinyl ethylene carbonate) electrolyte with 3 wt % of BaTiO3, PVEC-3BTO) with excellent interfacial performance is rationally designed by incorporating ferroelectric BaTiO3 (BTO) nanoparticles into the poly(vinyl ethylene carbonate) (PVEC) electrolyte matrix. Benefiting from the high dielectric constant and ferroelectric properties of BTO, the interfacial compatibility between electrolytes and electrodes was significantly improved. The enhanced Li+ transference number (0.64) of solid electrolyte and in situ generated BaF2 inorganic interphase contribute to the enhanced cycling stability of PVEC-3BTO based Li//Li symmetrical batteries. Furthermore, the antioxidation ability of PVEC-3BTO has also been enhanced by modulating the local electric field for good pairing with high-voltage LiCoO2 material. Therefore, in this work, the mechanism of BTO for improving interfacial compatibility is revealed, and also useful methods for addressing the interface issues of SSLMBs have been provided.

Assessing the effects of air pollution and residential greenness on frailty in older adults: a prospective cohort study from China.

Many studies have established a correlation between air pollution and green space with age-related diseases, yet the relationship between air pollution, green space, and frailty among older adults is not fully understood. The primary objective of this investigation is to examine the longitudinal association among air pollution, green space, and frailty in older adults, as well as the potential interaction and mediating effect. Analyzed data were obtained from the multi-wave CLHLS investigation (2008-2018). The participants' environmental exposure was evaluated using six air pollutants (PM1, PM2.5, PM10, PM10-2.5, O3, and NO2), and normalized difference vegetation index (NDVI). Annual ambient air pollutants were estimated using satellite-based spatiotemporal models. Time-varying Cox proportional risk models were employed to investigate the longitudinal relationships between air pollutants, greenness, and the onset of frailty in the elderly population. We conducted a variety of subgroup analyses, sensitivity analyses, and assessed potential interaction and causal mediating effects. A total of 6953 eligible elderly individuals were enrolled in our study. In the fully adjusted model, per IQR uptick in levels of PM1, PM2.5, PM10, PM10-2.5, O3, and NO2 corresponded to a 17% (95% CI 1.10-1.24), 25% (95% CI 1.17-1.34), 29% (95% CI 1.20-1.39), 35% (95% CI 1.24-1.47), 12% (95% CI 1.04-1.20), and 11% (95% CI 1.05-1.18) increase in frailty risk, respectively. For NDVI, increased IQR was significantly negatively associated with the risk of frailty (aHR 0.82, 95% CI 0.77-0.87). Our results revealed a significant interaction effect among O3, NO2, and residential greenness. PM1, PM2.5, PM10, and PM10-2.5 play a mediating role in the estimated relationship between residential greenness and frailty. In summary, our study reveals that PM1, PM2.5, PM10, PM10-2.5, O3, and NO2 correspond to elevated risks of frailty in the elderly. Residential greenness is associated with a lower risk of frailty in the elderly. Residential greenness can exert a positive impact on frailty by reducing particulate matter concentrations.

Short-term effects of ambient PM1, PM2.5, and PM10 on internal metal/metalloid profiles in older adults: A distributed lag analysis in China.

There is limited evidence linking exposure to ambient particulate matter (PM) with internal doses of metals and metalloids (metal(loid)s). This study aimed to evaluate the effects of short-term exposure to ambient PM on urine metal(loid)s among Chinese older adults. Biological monitoring data of 15 urine metal(loid)s collected in 3, 970 community-dwelling older adults in Fuyang city, Anhui Province, China, from July to September 2018, were utilized. PMs with an aerodynamic diameter ≤ 1 µm (PM1), ≤ 2.5 µm (PM2.5), and ≤ 10 µm (PM10) up to eight days before urine collection were estimated by space-time extremely randomized trees (STET) model. Residential greenness was reflected by Normalized Difference Vegetation Index (NDVI). We used generalized additive model (GAM) combined with distributed lag linear/non-linear models (DLMs/DLNMs) to estimate the associations between short-term PM exposure and urine metal(loid)s. The results suggested that the cumulative exposures to PM1, PM2.5, or PM10 over two days (lag0-1 days) before urine collection were associated with elevated urine metal(loid)s in DLMs, while exhibited linear or "inverted U-shaped" relationships with seven urine metal(loid)s in DLNMs, including Gallium (Ga), Arsenic (As), Aluminum (Al), Magnesium (Mg), Calcium (Ca), Uranium (U), and Barium (Ba). Aforementioned results indicated robust rather than spurious associations between PMs and these seven metal(loid)s. After standardizations for three PMs, PM1 was the greatest contributor to U, PM2.5 made the greatest contributions to Ga, As, Al, and Ba, and PM10 contributed the most to Mg and Ca. Furthermore, the effects of three PMs on urine Ga, As, Al, Mg, Ca, and Ba were reduced when exposed to higher levels of NDVI. Overall, short-term exposures to ambient PMs contribute to elevated urinary metal(loid) levels in older adults, and three PMs exhibit various contributions to different urine metal(loid)s. Moreover, residential greenness may attenuate the effects of PMs on urine metal(loid)s.

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.

Effect of aspirin on incidence, recurrence, and mortality in prostate cancer patients: integrating evidence from randomized controlled trials and real-world studies.

PURPOSE: Aspirin has been suggested to reduce the risk of cancer. However, previous studies have been inconsistent regarding the relationship between aspirin use and the risk of occurrence of prostate cancer (PCa). The purpose of this study was to assess the effect of aspirin on clinical outcomes in patients with PCa in a meta-analysis and to explore the possible dose-response relationship. METHODS: A systematic literature search was conducted in 10 electronic databases and 4 registries. The combined relative risks (RRs) were calculated using a random-effects model with 95% confidence interval (CIs) to assess the effect of aspirin on the risk of PCa. Relevant subgroup analyses and sensitivity analyses were performed. RESULTS: The across studies results show that aspirin use associated with lower incidence of PCa (RR: 0.96, 95% CI: 0.95-0.98), and reduced mortality (RR: 0.88, 95% CI: 0.82-0.95). The results of the subgroup analysis indicated that both cohort and population studies in the Americas showed a reduction in PCa incidence and mortality with aspirin use. A linear correlation was observed between dosage/duration of aspirin use and its protective effect. Additionally, post-diagnosis aspirin use was associated with decreased risk of PCa mortality. CONCLUSIONS: This meta-analysis revealed an independent correlation between the use of aspirin and reductions in both the incidence and mortality rates of PCa. However, randomized controlled trials did not find any association between aspirin use and PCa. Furthermore, the impact of aspirin on PCa occurrence was found to be dependent on both dosage and duration.

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.

Associations of nickel exposure with diabetes: evidence from observational studies.

The results of environmental epidemiological studies regarding the relationship between human exposure to nickel and the risk of diabetes remain controversial. Therefore, we performed a meta-analysis to investigate the relationship between nickel exposure and diabetes. PubMed, Web of Science, and Embase electronic databases were thoroughly searched from their inception to May 2023 to obtain relevant studies. The random-effects model was employed to determine pooled odds ratios (ORs) and 95% confidence intervals (CIs). Stratified and sensitivity analyses were also performed. Cochran Q test and I2 statistic were employed to assess heterogeneity between studies. Begg's and Egger's tests were employed to evaluate publication bias. The indicated studies were evaluated using the ROBINS-E risk of bias tool. The dose-response relationship between nickel in urine and diabetes risk was estimated by restricted cubic spline. A total of 12 studies with 30,018 participants were included in this study. In this meta-analysis, comparing the highest vs. lowest levels of nickel exposure, the pooled ORs for diabetes were 1.42 (95% confidence interval 1.14-1.78) for urine and 1.03 (0.57-1.86) for blood, respectively. A linear relationship between urinary nickel and diabetes risk was discovered in the dose-response analysis (P nonlinearity = 0.6198). Each 1 µg/L increase of urinary nickel, the risk of diabetes increased by 7% (OR = 1.07, 95% CI 1.04-1.10). The risk of diabetes was positively correlated with urine nickel exposure, whereas the risk was not significantly correlated with blood nickel. In the future, more high-quality prospective studies are needed to validate this conclusion.

Association of a mixture of phthalates and phenols with frailty among middle-aged and older adults: A population-based cross-sectional study.

BACKGROUND: Frailty is a complex geriatric syndrome caused by degenerative changes in the body or various chronic diseases. The use of personal care and consumer products is associated with a wide range of health outcomes, but its relationship with frailty remains unknown. Therefore, our primary aim was to explore the potential links between exposure to phenols and phthalates, either separately or in combination, and frailty. METHODS: The exposure levels of phthalates and phenols were evaluated through the measurement of metabolites in urine samples. Frailty state was assessed by a 36-item frailty index with values ≥ 0.25 indicating frailty. Weighted logistic regression was used to explore the relationship between individual chemical exposure and frailty. In addition, multi-pollutant strategies (WQS, Qgcomp, BKMR) were used to examine the joint effect of chemical mixture on frailty. A series of subgroup analyses and sensitivity analyses were conducted as well. RESULTS: In the multivariate logistic regression model, each unit increase in natural log-transformed BPA (OR: 1.21; 95%CI: 1.04, 1.40), MBP (OR: 1.25; 95%CI: 1.07, 1.46), MBzP (OR: 1.18; 95%CI: 1.03, 1.36), and MiBP (OR: 1.19; 95%CI: 1.03, 1.37) were significantly associated with higher odds of frailty. The results of the WQS and Qgcomp indicated that increasing quartiles of chemical mixture was associated with odds of frailty with ORs of 1.29 (95%CI: 1.01, 1.66) and 1.37 (95%CI: 1.06, 1.76). The weight of MBzP is dominant in both the WQS index and the positive weight of Qgcomp. In the BKMR model, the cumulative effect of chemical mixture was positively correlated with the prevalence of frailty. CONCLUSIONS: In summary, higher levels of BPA, MBP, MBzP, and MiBP are significantly associated with higher odds of frailty. Our study provides preliminary evidence that phenol and phthalate biomarker mixture is positively associated with frailty, with MBzP contributing most to the positive association.

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.

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.

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.

Associations of perchlorate, nitrate, and thiocyanate with metabolic syndrome and its components among US adults: A cross-sectional study from NHANES.

Perchlorate, nitrate and thiocyanate are common endocrine disruptors. Herein, this study was undertaken to evaluate the associations between perchlorate, nitrate, and thiocyanate exposures (alone or in combination) and risk of metabolic syndrome (MetS) among adults, which has not been explored so far. Analytical data were extracted from different datasets in the National Health and Nutrition Examination Survey (NHANES) database. Multivariate logistic regression models were constructed to investigate the associations between perchlorate, nitrate, and thiocyanate exposures, and the prevalence of MetS. Subsequently, odds ratios (OR) and their corresponding 95 % confidence intervals (CIs) were adopted to represent the magnitude of the effect size. We performed a series of subgroup analyses and sensitivity analyses as well. Moreover, three commonly used mixture modeling strategies [Weighted quantile sum (WQS) regression, quantile-based g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR)] were utilized to evaluate the joint mixture effect on MetS. This study included 12,007 participants in the subsequent analyses. After adjustment for confounding factors, higher levels of perchlorate, and thiocyanate concentrations were significantly associated with the risk of MetS (OR = 1.15, 95%CI:1.00, 1.32; OR = 1.21, 95%CI:1.04, 1.41, respectively). Analyses of WQS and Qgcomp showed that a quartile increase in chemical mixture was correlated with the occurrence of MetS with ORs of 1.07 (95%CI: 0.99, 1.16) and 1.07 (95%CI: 1.00, 1.14), respectively. This positive association was mainly driven by perchlorate and thiocyanate. Analysis of BKMR revealed that perchlorate, nitrate, and thiocyanate mixture was positively associated with the risk of MetS while perchlorate, and thiocyanate were major predictors in the mixture. In summary, our study reveals positive relationships between perchlorate, thiocyanate and MetS. Co-exposure to perchlorate, nitrate and thiocyanate is positively associated with the risk of MetS, with perchlorate and thiocyanate contributing the most to the overall mixture effect.

Molecular Self-Assembled Ether-Based Polyrotaxane Solid Electrolyte for Lithium Metal Batteries.

Poly(ethylene oxide) has been widely investigated as a potential separator for solid-state lithium metal batteries. However, its applications were significantly restricted by low ionic conductivity and a narrow electrochemical stability window (<4.0 V vs Li/Li+) at room temperature. Herein, a novel molecular self-assembled ether-based polyrotaxane electrolyte was designed using different functional units and prepared by threading cyclic 18-crown ether-6 (18C6) to linear poly(ethylene glycol) (PEG) via intermolecular hydrogen bond and terminating with hexamethylene diisocyanate trimer (HDIt), which was strongly confirmed by local structure-sensitive solid/liquid-state nuclear magnetic resonance (NMR) techniques. The designed electrolyte has shown an obviously increased room-temperature ionic conductivity of 3.48 × 10-4 S cm-1 compared to 1.12 × 10-5 S cm-1 without assembling polyrotaxane functional units, contributing to the enhanced cycling stability of batteries with both LiFePO4 and LiNi0.8Co0.15Al0.05O2 cathode materials. This advanced molecular self-assembled strategy provides a new paradigm in designing solid polymer electrolytes with demanded performance for lithium metal batteries.

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.

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.

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.

Combined exposure to multiple dioxins and dioxin-like polychlorinated biphenyls on hypertension among US adults in NHANES: a cross-sectional study under three statistical models.

Dioxins and dioxin-like polychlorinated biphenyls (DL-PCBs) are mainly released as by-products of human activities, often in the form of mixtures, and the potential harm on human health deserves attention. Therefore, our study aimed to analyze the combined effect of dioxins and DL-PCB exposures on hypertension (HTN) among US adults. Data of eligible participants were acquired from the National Health and Nutrition Examination Survey (NHANES). Multiple logistic regression models with adjustment for covariates were applied to explore the associations between 13 persistent organic pollutants (POPs) and HTN. Stratified analyses and interaction analyses were then conducted by age and gender. Finally, the combined effects of dioxins and DL-PCBs on HTN were assessed by the weighted quantile sum (WQS) model and the Bayesian kernel machine regression (BKMR) model. A total of 976 adults were included in our study, of whom 397 had HTN. Spearman correlations indicated positive correlations among 13 POPs. And most of them (except PCB28, PCB66, and 1,2,3,4,7,8,9-hpcdf) had significant effects on HTN. The result of WQS revealed that mixed exposure to dioxins and DL-PCBs was significantly associated with increased risk of HTN (OR: 2.205; 95% CIs: 1.555, 3.127). The BKMR model also presented a positive trend of HTN risk with exposure to multiple dioxins and DL-PCBs. And 1,2,3,4,6,7,8,9-ocdd may be the main factor for this positive association. Considering the limitations of our cross-sectional study with the small sample, further prospective studies are necessary to validate our findings.