Relationship Between Work-Related Noise Exposure and Cognitive Impairment: A Cross-Sectional Study in China.

Background: Noise exposure and the risk of cognitive impairment are currently major public health issues. Objective: This study aimed to analyze the relationship between noise exposure and early impairment of cognitive function from the perspective of occupational epidemiology and to provide evidence for the long-term prevention and treatment of dementia in the context of aging. Methods: This study was conducted in China between May and August 2021. The independent variables were the type of hazardous factors, duration of noise exposure, perceived noise intensity, and cumulative noise exposure (CNE). The dependent variable was cognitive function, which was measured using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Multiple linear and logistic regression were used to analyze the relationship between noise exposure and cognitive function and to establish an effect curve. Results: The detection rates of cognitive dysfunction using the MMSE and MoCA were 1.1% and 36.2%, respectively. The predicted MMSE and MoCA scores showed a downward trend within the CNE value ranging from 90-140 dB.time. Each unit increase in CNE decreased cognitive function scores by 0.025 (0.037, 0.013) and 0.020 (0.037, 0.003) points,respectively. Conclusions: From the perspective of occupational epidemiology, these findings reveal a potential link between long-term noise exposure and early cognitive impairment.

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Objective: To explore the risk factors for developing chronic pulmonary heart disease in patients with pneumoconiosis. Methods: The medical records of pneumoconiosis patients admitted to an occupational disease hospital in Sichuan Province between January 2012 and November 2021 were collected. Kaplan-Meier (K-M) method, or product-limit method, was used to plot the incidence curves of pulmonary heart disease in the pneumoconiosis patients. Cox proportional hazard regression model was used to analyze the influencing factors associated with chronic pulmonary heart disease in patients with pneumoconiosis. Results: A total of 885 pneumoconiosis patients were included in this study. The follow-up time was 12 to 115 months and the median follow-up time was 43 months. A total of 138 patients developed chronic pulmonary heart disease and the incidence density of pulmonary heart disease was 38.50/1000 person-years. Multivariate Cox proportional hazard regression analysis showed that the influencing factors of pneumoconiosis inpatients developing chronic pulmonary heart disease included the following, being 50 and older (hazard ratio [HR]=1.85, 95% confidence interval [CI]: 1.25-2.74), stage Ⅲ pneumoconiosis (HR=2.43, 95% CI: 1.48-4.01), resting heart rate≥100 beats/min (HR=2.62, 95% CI: 1.63-4.21), the complication of chronic obstructive pulmonary disease (COPD) (HR=4.52, 95% CI: 2.12-9.63), underweight (HR=2.40, 95% CI: 1.48-3.87), overweight and obesity (HR=0.54, 95% CI: 0.34-0.86), and triacylglycerol (TG) (HR=0.69, 95% CI: 0.49-0.99). Conclusion: Old age, stage Ⅲ pneumoconiosis, high resting heart rate, low BMI, and the complication of COPD are risk factors for chronic pulmonary heart disease in pneumoconiosis patients, while overweight and obesity and TG are protective factors. Early identification of the risk factors and the adoption of the corresponding prevention measures are the key to preventing chronic pulmonary heart disease in patients with pneumoconiosis.

Daytime napping, biological aging and cognitive function among middle-aged and older Chinese: insights from the China health and retirement longitudinal study.

Objective: The complicated association of daytime napping, biological aging and cognitive function remains inconclusive. We aimed to evaluate the cross-sectional and longitudinal associations of daytime napping and two aging measures with cognition and to examine whether napping affects cognition through a more advanced state of aging. Methods: Data was collected from the China Health and Retirement Longitudinal Study. Napping was self-reported. We calculated two published biological aging measures: Klemera and Doubal biological age (KDM-BA) and physiological dysregulation (PD), which derived information from clinical biomarkers. Cognitive z-scores were calculated at each wave. Linear mixed models were used to explore the longitudinal association between napping, two aging measures, and cognitive decline. Mediation analyses were performed to assess the mediating effects of biological age acceleration on the association between napping and cognition. Results: Participants aged over 45 years were included in the analyses. Non-nappers had greater KDM-BA and PD [LS means (LSM) = 0.255, p = 0.007; LSM = 0.085, p = 0.011] and faster cognitive decline (LSM = -0.061, p = 0.005)compared to moderate nappers (30-90 min/nap). KDM-BA (ß = -0.007, p = 0.018) and PD (ß = -0.034, p < 0.001) showed a negative association with overall cognitive z scores. KDM-BA and PD partially mediated the effect of napping on cognition. Conclusion: In middle-aged and older Chinese, compared to moderate nappers, non-nappers seem to experience a more advanced state of aging and increased rates of cognitive decline. The aging status possibly mediates the association between napping and cognition. Moderate napping shows promise in promoting healthy aging and reducing the burden of cognitive decline in Chinese middle-aged and older adults.

Epidemiological features of SARS-CoV-2 Omicron infection under new control strategy: a cross-sectional study of the outbreak since December 2022 in Sichuan, China.

BACKGROUND: A major shift in the "dynamic zero-COVID" policy was announced by China's National Health Commission on December 7, 2022, and the subsequent immediate large-scale outbreak of SARS-CoV-2 infections in the entire country has caused worldwide concern. This observational cross-sectional study aimed to describe the epidemiological characteristics of this outbreak in Sichuan, China. METHODS: All data were self-reported online by volunteers. We described the epidemic by characterizing the infection, symptoms, clinical duration, severity, spatiotemporal clustering, and dynamic features of the disease. Prevalence ratio (PR), Odds ratios (ORs) and adjusted ORs were calculated to analyze the associations between risk factors and infection and the associations of risk factors with clinical severity using log-binomial and multivariable logistic regression models; 95% confidence intervals (CIs) and Wald test results were reported. The prevalence rates and clinical severity among different subgroups were compared using the Chi-square and trend Chi-square tests. RESULTS: Between January 6 and 12, 2023, 138,073 volunteers were enrolled in this survey, and 102,645 were infected with COVID-19, holding a prevalence rate of 74.34%; the proportion of asymptomatic infections was 1.58%. Log-binomial regression revealed that the risk of infection increased among those living in urban areas. Multivariable logistic regression analysis showed that female sex, chronic diseases, older age and the fewer doses of vaccine received were associated with an increased risk of severe clinical outcomes after infection. We estimated the mean reproduction number during this pandemic was 1.83. The highest time-dependent reproduction number was 4.15; this number decreased below 1 after 11 days from December 7, 2022. Temporal trends revealed a single peak curve with a plateau pattern of incidence during the outbreak, whereas spatiotemporal clustering analysis showed that the onset in 21 cities in the Sichuan province had four-wave peaks. CONCLUSIONS: The peak of the first wave of Omicron infection in Sichuan Province had passed and could be considered a snapshot of China under the new control strategy. There were significant increases in the risk of severe clinical outcomes after infection among females, with chronic diseases, and the elderly. The vaccines have been effective in reducing poor clinical outcomes.

The development and evaluation of the worker-occupation fit inventory.

BACKGROUND: Person-environment fit (PEF) theory, one of the foundational theories of occupational stress, has primarily found applications in organizational behavior and human resource management. Given the alignment between the definition of occupational stress and the essence of PEF, we introduced the concept of worker-occupation fit (WOF). To validate our theoretical model, the development of an instrument to measure WOF becomes imperative. METHODS: The Worker-Occupation Fit Inventory (WOFI) comprises three dimensions: personal trait fit (PTF), need-supply fit (NSF) and demand-ability fit (DAF). Job-related mental disorders (JRMDs) were assessed using the DASS-21. During the pre-investigation, items of the WOFI underwent screening through classic test theory (CTT) analysis. In the formal investigation, item response theory (IRT) analysis was employed to evaluate the selected items. The relationship between WOF and JRMD was verified by Pearson's correlation analysis and multiple logistic regression analysis. RESULTS: The initial version consisted of 26 items. Three common factors were extracted by exploratory factor analysis (EFA): 6 items were included in the PTF, 6 items were included in the NSF, 4 items were included in the DAF, and 10 items were deleted because of unacceptable factor loadings. The confirmatory factor analysis (CFA) verified the structure of the WOFI with χ2/df = 1.822, CFI = 0.947, and SRMSR = 0.056. The Cronbach's alpha coefficients of the PTF, NSF, and DAF were 0.91, 0.92, and 0.80, respectively. In IRT analysis, the discrimination values of all items ranged from 1.25 to 2.53, and the difficulty values of all items ranged from -6.28 to 1.30 (with no difficulty of reversal). The WOF was negatively related to job-related stress (r = -0.34, p<0.001), anxiety (r = -0.37, p<0.001), and depression (r = -0.41, p<0.001). The multiple logistic regression analysis suggested that a high level of WOF was a protective factor against job-related mental disorders, with ORs all less than 1 (p<0.001), and a low level of WOF was a risk factor for job-related mental disorders, with ORs all more than 1.0 (p<0.001). CONCLUSIONS: The results of CTT and IRT analysis indicated that the WOFI exhibits reliability and validation. The WOF effectively predicted job-related mental disorders. Subsequent studies will delve into the influence of WOFI on diverse professions and various health outcomes.

The global dynamic transmissibility of COVID-19 and its influencing factors: an analysis of control measures from 176 countries.

OBJECTIVE: To summarise the dynamic characteristics of COVID-19 transmissibility; To analyse and quantify the effect of control measures on controlling the transmissibility of COVID-19; To predict and compare the effectiveness of different control measures. METHODS: We used the basic reproduction number ([Formula: see text]) to measure the transmissibility of COVID-19, the transmissibility of COVID-19 and control measures of 176 countries and regions from January 1, 2020 to May 14, 2022 were included in the study. The dynamic characteristics of COVID-19 transmissibility were summarised through descriptive research and a Dynamic Bayesian Network (DBN) model was constructed to quantify the effect of control measures on controlling the transmissibility of COVID-19. RESULTS: The results show that the spatial transmissibility of COVID-19 is high in Asia, Europe and Africa, the temporal transmissibility of COVID-19 increases with the epidemic of Beta and Omicron strains. Dynamic Bayesian Network (DBN) model shows that the transmissibility of COVID-19 is negatively correlated with control measures. Restricting population mobility has the strongest effect, nucleic acid testing (NAT) has a strong effect, and vaccination has the weakest effect. CONCLUSION: Strict control measures are essential for controlling the COVID-19 outbreak; Restricting population mobility and nucleic acid testing (NAT) have significant impacts on controlling the COVID-19 transmissibility, while vaccination has no significant impact. In light of these findings, future control measures may include the widespread use of new NAT technology and the promotion of booster immunization.

Cross-cultural adaptation and validation of the Job Content Questionnaire (JCQ-22).

BACKGROUND: Although the Job Content Questionnaire (JCQ-22) has been translated into numerous languages and applied in various countries, its cultural applicability in China remains unclear. OBJECTIVE: To adjust the JCQ-22 for cross-cultural use and optimize the scoring method for suitability for Chinese working populations. METHODS: We first used the original JCQ-22 questionnaire to measure occupational stress. Cross-cultural adjustment involved reorganization of scale items (adjusted-I scale) and deletion of inefficient redundant items during reorganization of scale items (adjusted-II scale). Structural validity and the relationship between stress and health outcomes (insomnia and self-conscious symptoms) before and after adjustment were compared. RESULTS: Exploratory factor analysis revealed that the two-factor cumulative variance contribution rate of job demand and control of the adjusted-II scale was 52.47%, compared with 48.44% and 48.44% in the original version and adjusted-I scale, respectively. Among the 16 fitness indicators in confirmatory factor analysis, 9 items of the adjusted-II scale met the standard, compared with 4 items of the original and adjusted-I scales. The Pearson's correlation coefficients between occupational stress and insomnia as well as self-conscious symptoms from the adjusted-II scale were 0.15 and 0.32, respectively, which were higher than those of the original scale (0.10 and 0.20). Receiver operating characteristic analysis revealed that the adjusted-II scale exhibited a better area under the curve and Youden index values than the original scale. CONCLUSION: The adjusted-II scale exhibited superior structural validity with more reasonable health outcome predictions and fewer items, making it more suitable for measuring occupational stress in Chinese populations.

The Temporal Lagged Relationship Between Meteorological Factors and Scrub Typhus With the Distributed Lag Non-linear Model in Rural Southwest China.

Background: Meteorological factors can affect the emergence of scrub typhus for a period lasting days to weeks after their occurrence. Furthermore, the relationship between meteorological factors and scrub typhus is complicated because of lagged and non-linear patterns. Investigating the lagged correlation patterns between meteorological variables and scrub typhus may promote an understanding of this association and be beneficial for preventing disease outbreaks. Methods: We extracted data on scrub typhus cases in rural areas of Panzhihua in Southwest China every week from 2008 to 2017 from the China Information System for Disease Control and Prevention. The distributed lag non-linear model (DLNM) was used to study the temporal lagged correlation between weekly meteorological factors and weekly scrub typhus. Results: There were obvious lagged associations between some weather factors (rainfall, relative humidity, and air temperature) and scrub typhus with the same overall effect trend, an inverse-U shape; moreover, different meteorological factors had different significant delayed contributions compared with reference values in many cases. In addition, at the same lag time, the relative risk increased with the increase of exposure level for all weather variables when presenting a positive association. Conclusions: The results found that different meteorological factors have different patterns and magnitudes for the lagged correlation between weather factors and scrub typhus. The lag shape and association for meteorological information is applicable for developing an early warning system for scrub typhus.

Influence of Workload, Personality, and Psychological Flexibility on Occupational Stress Among Medical Staff: A Fuzzy-Set Qualitative Comparative Analysis.

Objective: During the COVID-19 pandemic, the occupational stress of medical staff has been a major issue. This study aimed to suggest a new strategy to identify high-risk factor sets of occupational stress in medical staff using fuzzy-set qualitative comparative analysis (fs-QCA) and provide ideas for the prevention and intervention of occupational stress. Methods: A total of 1,928 medical staff members were surveyed and tested using the Acceptance and Action Questionnaire-II (AAQ-II), Occupational Stress Inventory-Revised edition (OSI-R), and Eysenck Personality Questionnaire-Revised Short Scale (EPQ-RSC). The fs-QCA was used to explore the high-risk factors for occupational stress among medical staff. Results: The psychological strain (PSY) score of the medical staff was 26.8 ± 7.13, and the physical strain (PHS) score was 24.3 ± 6.50. Low psychological flexibility score-introversion-high role overload, introversion-neuroticism-high role overload, and low psychological flexibility score-neuroticism were high-risk factor sets for PSY. Low psychological flexibility score-introversion-high role overload, low psychological flexibility score-introversion-neuroticism, low psychological flexibility score-neuroticism-high role overload, low psychological flexibility score-psychoticism-neuroticism, and psychoticism-neuroticism-high role overload were high-risk factor sets for PHS. Conclusion: There are different combinations of high-risk factors for occupational stress among the medical staff. For occupational stress intervention and psychological counseling, targeted and individualized health intervention measures should be implemented according to specific characteristic combinations of different individuals.

Chronic Noise Exposure and Risk of Dementia: A Systematic Review and Dose-Response Meta-Analysis.

Objective: Evidence is scarce about the effect of noise exposure on the risk of dementia. We conducted a systematic review and dose-response meta-analysis, aiming to explore the association between noise exposure and the risk of dementia. Methods: We searched PubMed, EMBASE and the Cochrane Library to collect studies on chronic noise exposure and the risk of dementia from database inception to September 18, 2021 without language limitations. Two authors independently screened the literature, extracted data and assessed the risk of bias of the included studies. A dose-response meta-analysis and subgroup analysis were then conducted to detect the association between noise exposure and the risk of dementia by using Stata 14.0 software. This study is registered on PROSPERO (CRD42021249243). Results: A total of 11 studies were eligible for qualitative synthesis, and nine were eligible for quantitative data synthesis. All of them showed moderate to high quality scores in the assessment of risk of bias. We found a positive linear association between the noise increment and dementia risk (R2 = 0.58). When noise exposure increased 57 dB, the RR of dementia was 1.47 (95% CI: 1.21-1.78). From the outcome subgroup of AD, AD and dementia, VaD and NAD, we also found a positive association (R2 = 0.68, 0.68, 0.58, respectively). When noise exposure increased by 25 dB, the RRs were 1.18 (95% CI: 1.14-1.23), 1.19 (95% CI: 1.14-1.23) and 1.17 (95% CI: 1.06-1.30), respectively. We found a nonlinear association between the noise increment and dementia risk when only cohort studies were included (R2 = 0.58). When noise exposure increased by 25 dB, the RR of dementia was 1.16 (95% CI: 1.12-1.20). From the subgroup of AD, AD and dementia, VaD and NAD of cohort studies, the regression curve showed a nonlinear positive association (R2 = 0.74, 0.71, 0.43, respectively). When noise exposure increased by 25 dB, the RRs were 1.17 (95% CI: 1.12-1.21), 1.17 (95% CI: 1.12-1.22) and 1.13 (95% CI: 0.99-1.28), respectively. Conclusion: Based on the current evidence, exposure to noise may be a specific risk factor for dementia. To better prevent dementia, more rigorously designed studies are needed to explore the etiological mechanism of noise and dementia.

The Mediating Role of Worker-Occupation Fit in the Relationship Between Occupational Stress and Depression Symptoms in 1988 Medical Workers: A Cross-Sectional Study.

Objective: Occupational stress is generally acknowledged as a global phenomenon with significant health and economic consequences. The medical worker is a vulnerable group at a high-level risk for depression symptoms. This study aimed to examine the mediating effect of worker-occupation fit (WOF) in relation to occupational stress and depression symptoms among 1988 medical workers in China. Methods: A multi-center cross-sectional study was conducted during June and October 2020 in Henan Province, China. The participants were medical workers from four targeted hospitals (included one general and three specialized hospitals). The Depression, Anxiety, and Stress Scale (DASS-21 Scale), Worker-Occupation Fit Inventory (WOFI), as well as questions about demographic and occupational information were administered in questionnaires distributed to 1988 medical workers. Hierarchical linear regression analysis was used to examine the mediating role of worker occupation fit. Results: In this study, there are 43.5% (n = 864) of medical workers experienced depression symptoms. The mean score of WOF was 31.6 ± 7.1, characteristic fit, need supply fit and demand ability fit were 11.3 ± 2.5, 10.1 ± 2.7, 12.9 ± 2.2, respectively. The occupational stress was negatively related to worker occupation fit (r = -0.395, P < 0.001), characteristic fit (r = -0.529, P < 0.001), need supply fit (r = -0.500, P < 0.001), and demand ability fit (r = -0.345, P < 0.001). The occupational stress and depression symptoms have a positive relationship (r = 0.798, P < 0.001). The proportion of worker occupation fit mediation was 6.5% of total effect for depression symptoms. Conclusion: Occupational stress has been identified as a risk factor for depression symptoms. Practical strategies for improving medical workers' WOF level would help them better cope with various work-related stressors to reduce depression symptoms. Hospital administrators could reduce medical workers' depression symptoms by taking comprehensive measures to improve the WOF.

Virus-virus interactions of febrile respiratory syndrome among patients in China based on surveillance data from February 2011 to December 2020.

The burden of acute respiratory infections is still considerable, and virus-virus interactions may affect their epidemics, but previous evidence is inconclusive. To quantitatively investigate the interactions among respiratory viruses at both the population and individual levels, we use data from the pathogen surveillance for febrile respiratory syndrome (FRS) in China from February 2011 to December 2020. Cases tested for influenza virus (IV), respiratory syncytial virus (RSV), human parainfluenza virus (PIV), human Adenovirus (AdV), human coronavirus (CoV), human bocavirus (BoV), and rhinovirus (RV) were collected. We used spearman's rank correlation coefficients and binary logistic regression models to analyze the interactions between any two of the viruses at the population and individual levels, respectively. Among 120 237 cases, 4.5% were coinfected with two or more viruses. Correlation coefficients showed seven virus pairs were positively correlated, namely: IV and RSV, PIV and AdV, PIV and CoV, PIV and BoV, PIV and RV, AdV and BoV, and CoV and RV. Regression models showed positive interactions for all virus pairs, except for the negative interaction between IV and RV (odds ratio = 0.70, 95% confidence interval: 0.61-0.81). Most of the respiratory viruses interact positively, while IV and RV interact negatively.

Identifying the risk features for occupational stress in medical workers: a cross-sectional study.

OBJECTIVE: Occupational stress is considered a worldwide epidemic experienced by a large proportion of the working population. The identification of characteristics that place people at high risk for occupational stress is the basis of managing and intervening in this condition. In this study, we aimed to identify and validate the risk features for occupational stress among medical workers using a risk model and nomogram. METHODS: This cross-sectional study included 1988 eligible participants from Henan Province in China. Occupational stress and worker-occupation fit were measured with the Depression, Anxiety and Stress Scales (DASS-21) and Worker-Occupation Fit Inventory (WOFI). The identification of risk features was achieved through constructing multiple logistic regression model, and the risk features were used to develop the risk model and nomogram. Receiver operating characteristic (ROC) curves and calibration plots were generated to assess the effectiveness and calibration of the risk model. RESULTS: Among 1988 participants in our study, there were 42.5% (845/1988) medical workers experienced occupational stress. The risk features for occupational stress included poor work-occupation fit (WOF score < 25, expected risk: 77.3%), nurse population (expected risk: 63.1%), male sex (expected risk: 67.2%), work experience duration of 11-19 years (expected risk: 54.5%), experience of a traumatic event (expected risk: 65.3%) and the lack of a regular exercise habit (expected risk: 60.2%). For medical workers who have these risk features, the expected risk probability of occupational stress would be 90.2%. CONCLUSION: The current data can be used to identify medical workers at risk of developing occupational stress. Identifying risk features for occupational stress and the work-occupation fit can support hierarchical stress management in hospitals.

Characteristics of Publications on Occupational Stress: Contributions and Trends.

This study aimed to analyze the bibliometric characteristics of the publications on occupational stress and highlight key research topics and future trends. The Web of Science Core Collection database was searched to collect publications on occupational stress, from inception to December 9, 2020. Two authors independently screened eligible literature and extracted the data. Bibliometric analyses were performed using VOSviewer 1.6.6 and R 3.6.3 software. Overall, 6,564 publications on occupational stress were included. "Stress," with a total link strength of 1,252, appeared as the most co-occurrence keyword, followed by "occupational stress," "job stress," and "job satisfaction." All studies were published between 1956 and 2020. Among them, 6,176 (94.35%) papers were written in English, and 4,706 (70.25%) were original articles. The top three Web of Science categories were "public environmental occupational health" (n = 1,711), "psychology, applied" (n = 846), and "psychology, multidisciplinary" (n = 650). The 100 top-cited articles were mentioned a total of 36,145 times, with a median of 361, ranging from 174 to 5,574. The United States was the most productive country, with 1,780 publications. The main partners of the United States were England and China. Three themes of occupational stress research were identified: job satisfaction, burnout, and occupational stress-related health problems. This bibliometric analysis provides a comprehensive understanding of the trends and most influential contributions to the field of occupational stress, thus promoting ideas for future research.

A risk model and nomogram for high-frequency hearing loss in noise-exposed workers.

BACKGROUND: High-frequency hearing loss is a significant occupational health concern in many countries, and early identification can be effective for preventing hearing loss. The study aims to construct and validate a risk model for HFHL, and develop a nomogram for predicting the individual risk in noise-exposed workers. METHODS: The current research used archival data from the National Key Occupational Diseases Survey-Sichuan conducted in China from 2014 to 2017. A total of 32,121 noise-exposed workers completed the survey, of whom 80% workers (n = 25,732) comprised the training cohort for risk model development and 20% workers (n = 6389) constituted the validation cohort for model validation. The risk model and nomogram were constructed using binary logistic models. The effectiveness and calibration of the model were evaluated with the receiver operating characteristic curve and calibration plots, respectively. RESULTS: A total of 10.06% of noise-exposed workers had HFHL. Age (OR = 1.09, 95% CI: 1.083-1.104), male sex (OR = 3.25, 95% CI: 2.85-3.702), noise exposure duration (NED) (OR = 1.15, 95% CI: 1.093-1.201), and a history of working in manufacturing (OR = 1.50, 95% CI: 1.314-1.713), construction (OR = 2.29, 95% CI: 1.531-3.421), mining (OR = 2.63, 95% CI: 2.238-3.081), or for a private-owned enterprise (POE) (OR = 1.33, 95% CI: 1.202-1.476) were associated with an increased risk of HFHL (P < 0.05). CONCLUSIONS: The risk model and nomogram for HFHL can be used in application-oriented research on the prevention and management of HFHL in workplaces with high levels of noise exposure.

Anti­fibrotic effects and the mechanism of action of miR­29c in silicosis.

Despite increasing evidence suggesting a role for the miR­29 family in the suppression of fibrosis, its role in silicosis remains unknown. The present study aimed to examine the anti­fibrotic effects and specific mechanism of action of microRNA (miR)­29c in pulmonary silicosis using animal and cell models. miR­29c expression levels were examined in the lungs of silicotic rats via reveres transcription­quantitative (RT­q)PCR. A Transwell system employing co­cultures of pulmonary fibroblasts and macrophages was used to establish an in vitro cell model of silicosis, and lentivirus was used to overexpress or knockdown miR­29c in cultured cells. Changes in collagen type I α I (COL1α1), COL3α1, α­smooth muscle actin (α­SMA) and TGF­ß1 expression levels were determined via RT­qPCR and western blotting. Data analysis was performed using R software. miR­29c expression was significantly downregulated in the lungs of silicotic rats and in the pulmonary fibroblasts of the in vitro model of silicosis. Furthermore, COL1α1, COL3α1, α­SMA and TGF­ß1 expression levels were significantly increased in cultured fibroblasts following 12 or 18 h exposure to SiO2. Lentiviral­mediated knockdown of miR­29c resulted in increased the expression levels of COL1α1, COL3α1, α­SMA and TGF­ß1, while lentiviral­mediated miR­29c overexpression significantly suppressed the expression levels of these fibrosis­related genes. Taken together, these results demonstrated that miR­29c was significantly associated with silica­induced pulmonary fibrosis and the expression levels of COL1α1, COL3α1, TGF­ß1 and α­SMA are under the regulation of miR­29c to different extents. This study therefore identified possible candidate molecular targets for preventing or delaying the occurrence and progression of silicosis.

Relationship Between Chronic Noise Exposure, Cognitive Impairment, and Degenerative Dementia: Update on the Experimental and Epidemiological Evidence and Prospects for Further Research.

Degenerative dementia, of which Alzheimer's disease is the most common form, is characterized by the gradual deterioration of cognitive function. The events that trigger and promote degenerative dementia are not clear, and treatment options are limited. Experimental and epidemiological studies have revealed chronic noise exposure (CNE) as a potential risk factor for cognitive impairment and degenerative dementia. Experimental studies have indicated that long-term exposure to noise might accelerate cognitive dysfunction, amyloid-ß deposition, and tau hyperphosphorylation in different brain regions such as the hippocampus and cortex. Epidemiological studies are increasingly examining the possible association between external noise exposure and dementia. In this review, we sought to construct a comprehensive summary of the relationship between CNE, cognitive dysfunction, and degenerative dementia. We also present the limitations of existing evidence as a guide regarding important prospects for future research.

Dynamic prediction for clinically relevant pancreatic fistula: a novel prediction model for laparoscopic pancreaticoduodenectomy.

BACKGROUND: With the recent emerge of dynamic prediction model on the use of diabetes, cardiovascular diseases and renal failure, and its advantage of providing timely predicted results according to the fluctuation of the condition of the patients, we aim to develop a dynamic prediction model with its corresponding risk assessment chart for clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy by combining baseline factors and postoperative time-relevant drainage fluid amylase level and C-reactive protein-to-albumin ratio. METHODS: We collected data of 251 patients undergoing LPD at West China Hospital of Sichuan University from January 2016 to April 2019. We extracted preoperative and intraoperative baseline factors and time-window of postoperative drainage fluid amylase and C-reactive protein-to-albumin ratio relevant to clinically relevant pancreatic fistula by performing univariate and multivariate analyses, developing a time-relevant logistic model with the evaluation of its discrimination ability. We also established a risk assessment chart in each time-point. RESULTS: The proportion of the patients who developed clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy was 7.6% (19/251); preoperative albumin and creatine levels, as well as drainage fluid amylase and C-reactive protein-to-albumin ratio on postoperative days 2, 3, and 5, were the independent risk factors for clinically relevant postoperative pancreatic fistula. The cut-off points of the prediction value of each time-relevant logistic model were 14.0% (sensitivity: 81.9%, specificity: 86.5%), 8.3% (sensitivity: 85.7%, specificity: 79.1%), and 7.4% (sensitivity: 76.9%, specificity: 85.9%) on postoperative days 2, 3, and 5, respectively, the area under the receiver operating characteristic curve was 0.866 (95% CI 0.737-0.996), 0.896 (95% CI 0.814-0.978), and 0.888 (95% CI 0.806-0.971), respectively. CONCLUSIONS: The dynamic prediction model for clinically relevant postoperative pancreatic fistula has a good to very good discriminative ability and predictive accuracy. Patients whose predictive values were above 14.0%, 8.3%, and 7.5% on postoperative days 2, 3, and 5 would be very likely to develop clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy.

Colorectal cancer and asbestos exposure-an overview.

The relationship between colorectal cancer and asbestos exposure has not been fully clarified. This study aimed to determine the associations between asbestos exposure and colorectal cancer. We performed a meta-analysis to quantitatively evaluate this association. A fixed effects model was used to summarize the relative risks across studies. Sources of heterogeneity were explored through subgroup analyses and meta-regression. We analyzed the dose-effect relationship using lung cancer standardized mortality ratio (SMR) and the risk of mesothelioma as a percent (%) as exposure surrogates. A total of 47 cohort studies were included. We identified 28 incidence cohort studies from 17 separate papers and extracted colorectal cancer standardized incidence ratio (SIR). Cancer mortality data were extracted from 19 separate cohorts among 13 papers. The overall colorectal cancer SMR for synthesis cohort was 1.07 (95% CI 1.02-1.12). Statistically significant excesses were observed in exposure to mixed asbestos (SMR/SIR=1.07), exposure to production (SMR/SIR=1.11), among asbestos cement workers (SMR/SIR=1.18) and asbestos textile workers (SMR/SIR=1.11). Additionally, we determined that the SMR for lung cancer increased with increased exposure to asbestos, as did the risk for colorectal cancer. This study confirms that colorectal cancer has a positive weak associations with asbestos exposure.