ABSTRACT
This study aimed to examine the association between nighttime sleep duration and emotional and behavioral problems (EBPs) among rural preschool children. This longitudinal study including 1595 preschool children aged 3-6 years from 26 kindergartens in four counties was conducted in Anhui Province rural areas. Cross-lagged panel models and multivariable logistic regressions were performed to examine the bidirectional association between nighttime sleep duration and EBPs and further explore the predictive effect of nighttime sleep duration on EBPs. Compared to baseline, preschool children at follow-up had significantly more nighttime sleep duration (10.01 ± 0.68 vs. 10.15 ± 0.69) and lower EBPs (total difficulties: 15.8% vs. 11.2%; prosocial behavior problems: 12.4% vs. 7.0%). Results of cross-lagged panel models indicated that nighttime sleep duration was a predictor for EBPs, but not vice versa. Results of logistic regression analysis showed that each 1-h increase in nighttime sleep duration at T1 was associated with a 0.77-fold reduction in the risk of total difficulties at T2 (the most adjusted OR = 0.774, 95% CI 0.607-0.988, P = 0.040), but not with the prosocial behavior. Interestingly, the predictive effect of nighttime sleep duration at T1 on EBPs at T2 was only found in girls, children aged 3 years and children with lower maternal education. The decreased nighttime sleep duration may predict future EBPs, especially in girls, younger preschool children and children with lower maternal education. Extending sleep duration may improve EBPs in preschool children.
Subject(s)
Problem Behavior , Female , Humans , Child, Preschool , Problem Behavior/psychology , Longitudinal Studies , Sleep Duration , Surveys and Questionnaires , Emotions , SleepABSTRACT
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.
Subject(s)
Cognitive Dysfunction , Problem Behavior , Adolescent , Child , Humans , China , East Asian PeopleABSTRACT
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.
Subject(s)
Mental Health , Sleep Wake Disorders , Child, Preschool , Humans , Sleep , Emotions , Sleep Wake Disorders/psychology , AnxietyABSTRACT
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.
Subject(s)
Adverse Childhood Experiences , Physical Abuse , Child , Humans , Child, Preschool , Cross-Sectional Studies , Emotions , Educational StatusABSTRACT
Hypervirulent Klebsiella pneumoniae (hvKp) causes increasing infections in healthy individuals from the community. In severe cases, it can cause multiple organ infection with invasive metastasis of blood sources, seriously threatening the patients' life. Rapid and accurate diagnosis of the pathogen becomes the key to timely antibiotic treatment to improve the prognosis. This article reports a case of liver abscess complicated with multiple organ invasive infection caused by hematogenous-disseminated hvKp. K. pneumoniae was identified by culture and metagenomic next-generation sequencing (mNGS) using blood and liver abscess drainage fluid. The isolates from the two samples were subsequently identified with high homology (99.999%) by whole genome sequencing. In addition, multiple virulence genes were detected in the two isolates and the string test was positive, indicating hvKp with hypermucoviscosity phenotype. Multiple antibiotic treatments were given. The conditions of the patient were stable but the temperature remained high. Surgical drainage treatment was performed, and the patient's body temperature immediately dropped to normal. He finally recovered after 6 months of follow-up. mNGS using body fluids can facilitate the rapid diagnosis of pathogens. For hvKp infection, choosing a better antibiotic therapy and receiving surgical drainage can significantly improve the prognosis of the patient.
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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.
Subject(s)
Anxiety , Sleep Wake Disorders , Humans , Child, Preschool , Longitudinal Studies , Follow-Up Studies , Anxiety Disorders , Sleep , Sleep Wake Disorders/epidemiologyABSTRACT
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.
Subject(s)
Depression, Postpartum , Stress, Psychological , Female , Humans , Pregnancy , Depression, Postpartum/epidemiology , Postpartum Period , Prevalence , Prospective Studies , Risk FactorsABSTRACT
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.
Subject(s)
Air Pollutants , Air Pollution , Cardiovascular Diseases , Myocardial Ischemia , Neoplasms , Humans , Cardiovascular Diseases/epidemiology , Cause of Death , Air Pollution/adverse effects , Air Pollution/analysis , Air Pollutants/analysis , Environmental Exposure , Particulate Matter/analysisABSTRACT
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.
Subject(s)
Family Separation , Problem Behavior , Resilience, Psychological , Sleep Wake Disorders , Child , Child, Preschool , Humans , China/epidemiology , Emotions , Problem Behavior/psychology , Sleep Wake Disorders/psychology , Surveys and Questionnaires , Diet/psychology , Social BehaviorABSTRACT
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.
Subject(s)
Arthritis, Rheumatoid , Pesticides , Pyrethrins , Humans , Adult , Middle Aged , Pyrethrins/analysis , Nutrition Surveys , Creatinine/analysis , Prospective Studies , Environmental Exposure/analysis , Pesticides/analysis , Arthritis, Rheumatoid/epidemiologyABSTRACT
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.
Subject(s)
Abortion, Induced , Abortion, Spontaneous , Diabetes, Gestational , Pregnancy , Female , Humans , Diabetes, Gestational/epidemiology , Diabetes, Gestational/etiology , Abortion, Induced/adverse effects , Risk FactorsABSTRACT
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.
Subject(s)
Cadmium , Hearing Loss , Humans , Adult , Nutrition Surveys , Bayes Theorem , Cadmium/toxicity , Lead , Hearing Loss/chemically induced , Hearing Loss/epidemiologyABSTRACT
Some studies have shown that famine exposure during adolescence can increase cardiovascular disease and diabetes susceptibility in later life. The association between famine exposure in adolescence and overweight/obesity and abdominal obesity in adulthood has been inconsistent. Based on previous studies, we hypothesized that famine exposure in adolescence increases the risk of overweight/obesity and abdominal obesity in adulthood. Eight databases, including PubMed, Embase, Cochrane Library, and Web of Science, were searched from their inception until November 2021. We initially identified 3982 records and finally included 7 articles after screening. The included articles were of moderate to high quality, containing 16 estimates of overweight/obesity and 3 estimates of abdominal obesity. Pooled odds ratios (ORs) with 95% CIs were used to estimate the association between them. The random effects model was adopted as the pooling method. There was a significant association between famine exposure in adolescence and overweight/obesity in adulthood (OR, 1.17; 95% CI, 1.02-1.33). Adolescents exposed to famine had a greater risk of abdominal obesity in adulthood than their unexposed counterparts (OR, 1.35; 95% CI, 1.03-1.76). These results were more pronounced in females than in males. In summary, our meta-analysis indicates that famine exposure during adolescence increases the risk of overweight/obesity and abdominal obesity in adulthood. This suggests that we need to pay timely attention to the nutritional status of adolescents to prevent adverse health consequences of malnutrition. More high-quality studies are needed to confirm these conclusions, given the limitations of this study.
Subject(s)
Prenatal Exposure Delayed Effects , Starvation , Adolescent , Humans , Male , Female , Adult , Overweight/epidemiology , Famine , Obesity, Abdominal/epidemiology , Obesity, Abdominal/etiology , Starvation/complications , Obesity/complications , Obesity/epidemiology , China , Risk FactorsABSTRACT
Transition metal oxides are widely used in electrochemical detection because of the promotion of redox of heavy metal ions (HMIs) by valence change behavior. However, it is challenging to favorably promote the valence change to achieve the improvement of detection sensitivity. Herein, a Mn3O4/g-C3N4 composite (named as MO-CN) with small-sized of Mn3O4 and high proportion of Mn(II) and Mn(III) was prepared, which reveals an excellent performance on detecting mercury ion (Hg(II)). It is discovered that Mn3O4 becomes small in size and well disperses on g-C3N4, which solves the adverse effect of agglomeration and also lead to a good conductivity. And g-C3N4 can provide more adsorption sites to enhance the adsorption on Hg(II). Heterojunction is proved to form in MO-CN and thus accelerates electrons to flow from g-C3N4 to Mn3O4. This results in transforming Mn(IV) to Mn(II) and Mn(III) in Mn3O4, thereby promoting the cycle of Mn(II)/Mn(III)/Mn(IV) and furthermore facilitating the redox of Hg(II). Simultaneously, the obtained sensitivity (473.43 µA µM-1 cm-2) and limit of detection (LOD, 0.003 µM) are as expected. The nanocomposites and heterojunction based on transition metal oxide and 2D nanomaterials is promising to boost the detection of HMIs.
Subject(s)
Mercury , Metals, Heavy , Nanocomposites , Electrons , OxidesABSTRACT
In recent years, many epidemiological studies have investigated the relationship between solid fuel combustion and diabetes mellitus (DM). This meta-analysis was performed to explore the potential association between solid fuel combustion and DM. A comprehensive literature search was conducted to identify all relevant studies published prior to January 14, 2022. The pooled odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the effect of solid fuel combustion on DM. The I square value (I2) was used to assess heterogeneity. Due to the heterogeneity of the studies (I2 = 66.70%), a random-effect model was used as the pooling method. A total of 9 articles (10 available datasets) were used for this systematic review and meta-analysis, involving 45,620 study subjects. The results of the meta-analysis showed a statistically positive relationship between household solid fuel combustion and the risk of DM (OR = 1.46, 95% CI = 1.09-1.97). Subgroup analysis based on fuel type revealed a statistically significant association in the mixed solid fuel group (OR = 2.03, 95% CI = 1.59-2.59), but not in the single biomass group (OR = 1.04, 95% CI = 0.73-1.49). This meta-analysis suggests that solid fuel combustion may be associated with an increased risk of DM.
Subject(s)
Diabetes Mellitus , Humans , Risk Factors , Diabetes Mellitus/epidemiology , Odds Ratio , BiomassABSTRACT
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.
Subject(s)
Arsenic , Cardiovascular Diseases , Environmental Pollutants , Mercury , Uranium , Adult , Antimony/toxicity , Barium , Bayes Theorem , Cadmium , Cardiovascular Diseases/chemically induced , Cardiovascular Diseases/epidemiology , Cesium , Cobalt , Environmental Exposure/analysis , Environmental Pollutants/toxicity , Humans , Models, Statistical , Molybdenum , Nutrition Surveys , Thallium , TungstenABSTRACT
Organophosphate esters (OPEs) are widely used as flame retardants and plasticizers worldwide. Therefore, the potentially deleterious effect of OPE on human beings deserves extensive attention. The primary objective of this present study was to untangle the relationship between OPE exposure and cardiovascular disease (CVD) among general population. Detailed information about participants' baseline characteristics, involving socioeconomic data, demographic data and key covariates was obtained from National Health and Nutrition Examination Survey (NHANES) 2011-2018. Multivariate logistic regression models with adjustment for prior-determined covariates were utilized to examine the relationship between various OPEs and CVD among US adults and calculate odd ratios (ORs) and corresponding confidence intervals (CIs). Two multi-pollutant statistical strategies (weighted quantile sum regression and Bayesian kernel machine regression) were employed to investigate the joint effect of OPE mixture on CVD. A total of 5067 participants were included in this study. In completely-adjusted logistic model, the highest tertiles of OPE metabolites were positively associated with CVD risk, while the relationships did not reach statistical significance. The weighted quantile sum (WQS) index was significantly correlated with increased prevalence of CVD (adjusted OR: 1.25; CI: 1.02, 1.53, p value = 0.032) and Diphenyl phosphate (DPHP) was the greatest contributor (31.38%). The BKMR also indicated that mixed OPE exposure associated with an increased risk of CVD. Taken together, the present study demonstrated that there were possible links between OPE exposures and increased risk of CVD, while the relationships did not reach statistical significance. Our study provided the suggestive evidence that cumulative effect of OPE mixtures on CVD. DPHP may be a major driver of this positive association. Given the limitation of cross-sectional design and relatively limited kinds of OPE metabolites, further studies are warranted to longitudinally evaluate the potential effect of a wider range of OPEs on CVD or cardiac metabolism.
Subject(s)
Cardiovascular Diseases , Environmental Pollutants , Flame Retardants , Adult , Bayes Theorem , Biphenyl Compounds , Cardiovascular Diseases/chemically induced , Cardiovascular Diseases/epidemiology , Cross-Sectional Studies , Esters , Flame Retardants/metabolism , Humans , Nutrition Surveys , Organophosphates/metabolism , Organophosphates/toxicity , Phosphates , Plasticizers/metabolismABSTRACT
Background/Objective: This study aimed to examine associations of the impact of COVID-19 pandemic on family life with emotional and behavioral health among preschool children.Methods: A longitudinal study including 1595 preschool children aged 36 years and their families was conducted in Anhui Province. The linear regression was applied to examine associations between the impact of COVID-19 pandemic on family life and emotional and behavioral health.Results: Results of the multivariable linear regression indicated that the severe impact of COVID-19 pandemic on family life was significantly associated with more sleep problems, poor dietary behavior habits, more anxiety symptoms, and more problematic behaviors; and these effects exhibited gender and age differences.Conclusions: The severe impact of COVID-19 pandemic on family life significantly increased the risk for exacerbated emotional and behavioral health among preschool children. It is considered vital to identify risk factors for vulnerable families and then to implement precise interventions when necessary for emotional and behavioral health of children in these families. (AU)
Subject(s)
Humans , Child, Preschool , Child , Pandemics , Coronavirus Infections/epidemiology , Coronavirus Infections/psychology , Mental Health , Longitudinal StudiesABSTRACT
Background/Objective: This study aimed to examine associations of the impact of COVID-19 pandemic on family life with emotional and behavioral health among preschool children. Methods: A longitudinal study including 1595 preschool children aged 3-6 years and their families was conducted in Anhui Province. The linear regression was applied to examine associations between the impact of COVID-19 pandemic on family life and emotional and behavioral health. Results: Results of the multivariable linear regression indicated that the severe impact of COVID-19 pandemic on family life was significantly associated with more sleep problems, poor dietary behavior habits, more anxiety symptoms, and more problematic behaviors; and these effects exhibited gender and age differences. Conclusions: The severe impact of COVID-19 pandemic on family life significantly increased the risk for exacerbated emotional and behavioral health among preschool children. It is considered vital to identify risk factors for vulnerable families and then to implement precise interventions when necessary for emotional and behavioral health of children in these families.
ABSTRACT
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.