Association between ambient fine particular matter components and subsequent cognitive impairment in community-dwelling older people: a prospective cohort study from eastern China.

BACKGROUND: Fine particular matter (PM2.5) has been associated with dementia, but limited information is available regarding the association between PM2.5 components and dementia. AIMS: We aimed to identify the major components of PM2.5 that affect cognitive function to further investigate its mechanism of action, and develop a prevention strategy for dementia. METHODS: In this study, we included 7804 participants aged ≥ 60 years recruited from seven counties in Zhejiang province, eastern China. The participants completed the baseline survey between 2014 and 2015, and were followed up until the end of 2020. We adopted single-component robust Poisson regression models for analyses, and estimated relative risks and 95% confidence intervals describing associations between the chemical constituents of PM2.5 exposure and incident cognitive impairment in those who were free from cognitive impairment at baseline. RESULTS: Significantly positive associations were observed between sulfate, nitrate, ammonium, and organic matter in PM2.5 and incident cognitive impairment across different exposure periods; the relative risks of 10-year exposure before enrollment ranged from 1.01 to 1.02. However, we did not find a significant association between black carbon and cognitive impairment. The point estimates of the relative risk values did not change substantially after performing the sensitivity analyses. CONCLUSIONS: Our findings strengthen the idea that long-term exposure to PM2.5 mass and its chemical components is associated with an elevated risk of incident cognitive impairment among older adults.

Depressive symptoms and associated factors among older patients with arthritis: evidence from a community-based study in eastern China.

Introduction: Depressive symptoms are often experienced by patients with arthritis and are correlated with poor health outcomes. However, the association between depressive symptoms and multidimensional factors (sociodemographic characteristics, health conditions, health behaviors, and social support) among older patients with arthritis in China remains poorly understood. This study aimed to explore the prevalence of depressive symptoms in older patients with arthritis in eastern China and identify the associated factors. Methods: We analyzed data of 1,081 older patients with arthritis using secondary data from 2014 to 2020 from a community-based ongoing study initiated in 2014 in eastern China. The prevalence of depressive symptoms was calculated, and univariate and multilevel logistic regression analyses were used to identify the associated factors. Results: The mean age of older patients with arthritis was 69.16 ± 7.13 years; 42.92% were men and 57.08% were women. The prevalence of depressive symptoms in older patients with arthritis was 14.99% (95% confidence interval: 12.91-17.26%), about 1.8 times higher than that in older adults without arthritis (8.49%, p < 0.001). Multilevel logistic regression identified perception of poor economic status (odds ratio [OR] = 5.52, p < 0.001), multimorbidity (OR = 1.96, p = 0.001), limitations in activities of daily living (OR = 2.36, p = 0.004), and living alone (OR = 3.13, p = 0.026) as factors positively associated with depressive symptoms. Patients diagnosed with arthritis at an older age had lower odds of experiencing depressive symptoms (OR = 0.67, p = 0.046). Conclusion: Screening for depressive symptoms is essential among older patients with arthritis, especially those who perceive themselves as having a poor economic status, are diagnosed at an earlier age, have multimorbidity, have limitations in activities of daily living, and live alone. The associations of age at arthritis diagnosis and dietary behaviors with depressive symptoms require further research.

Effects of cigarette smoking associated with sarcopenia in persons 60 years and older: a cross-sectional study in Zhejiang province.

PURPOSE: Smoking is a risk factor for sarcopenia. Nevertheless, few studies analyzed the independent effects of various smoking dimensions (duration, intensity, cumulative dose) on sarcopenia risk. This is a cross-sectional study based on an older population in Zhejiang Province to determine which smoking dimensions are mainly important for sarcopenia risk and to explore the dose-response relationship between them. METHODS: Our study included 783 patients with sarcopenia and 4918 non-sarcopenic individuals. Logistic regression and restricted cubic with logistic regression (for nonlinear dose effects) were used to obtain odds ratios (ORs) and 95% confidence intervals as well as restricted cubic splines (RCS) curves. RESULTS: Compared with never-smokers, current smokers had an increased risk of sarcopenia (OR = 1.786; 95% CI 1.387-2.301) after adjusting for confounders such as age, sex, education, alcohol consumption, disease history, etc. There was no significant association between smoking intensity and sarcopenia after more than 20 cigarettes per day (OR = 1.484; 95% CI 0.886-2.487), whereas the risk of sarcopenia increased significantly with increasing duration of smoking after more than 40 years (OR = 1.733; 95% CI 1.214-2.473). Meanwhile, there was a significant non-linear dose-response relationship between smoking duration or intensity and the risk of sarcopenia. However, the risk of sarcopenia increased linearly with the number of pack-years of smoking, which is not a significant nonlinear dose-response relationship. CONCLUSIONS: This study indicated the association between smoking and sarcopenia. Both smoking duration and cumulative dose were significantly and positively associated with sarcopenia. These findings reflect the important role of the number of years of smoking in increasing the risk of sarcopenia and provide scientific evidence that different smoking dimensions may influence the risk of the sarcopenia.

Scaling law characteristics and spatiotemporal multicomponent analysis of syphilis from 2016 to 2022 in Zhejiang Province, China.

Background: Syphilis has caused epidemics for hundreds of years, and the global syphilis situation remains serious. The reported incidence rate of syphilis in Zhejiang Province has ranked first in the province in terms of notifiable infectious diseases for many years and is the highest in China. This study attempts to use the scaling law theory to study the relationship between population size and different types of syphilis epidemics, while also exploring the main driving factors affecting the incidence of syphilis in different regions. Methods: Data on syphilis cases and affected populations at the county level were obtained from the China Disease Control and Prevention Information System. The scaling relationship between different stages of syphilis and population size was explained by scaling law. The trend of the incidence from 2016 to 2022 was tested by the joinpoint regression. The index of distance between indices of simulation and observation (DISO) was applied to evaluate the overall performance of joinpoint regression model. Furthermore, a multivariate time series model was employed to identify the main driving components that affected the occurrence of syphilis at the county level. The p value less than 0.05 or confidence interval (CI) does not include 0 represented statistical significance for all the tests. Results: From 2016 to 2022, a total of 204,719 cases of syphilis were reported in Zhejiang Province, including 2 deaths, all of which were congenital syphilis. Latent syphilis accounted for 79.47% of total syphilis cases. The annual percent change (APCs) of all types of syphilis, including primary syphilis, secondary syphilis, tertiary syphilis, congenital syphilis and latent syphilis, were - 21.70% (p < 0.001, 95% CI: -26.70 to -16.30), -16.80% (p < 0.001, 95% CI: -20.30 to -13.30), -8.70% (p < 0.001, 95% CI: -11.30 to -6.00), -39.00% (p = 0.001, 95% CI: -49.30 to -26.60) and - 7.10% (p = 0.008, 95% CI: -11.20 to -2.80), respectively. The combined scaling exponents of primary syphilis, secondary syphilis, tertiary syphilis, congenital syphilis and latent syphilis based on the random effects model were 0.95 (95% CI: 0.88 to 1.01), 1.14 (95% CI: 1.12 to 1.16), 0.43 (95% CI: 0.37 to 0.49), 0.0264 (95% CI: -0.0047 to 0.0575) and 0.88 (95% CI: 0.82 to 0.93), respectively. The overall average effect values of the endemic component, spatiotemporal component and autoregressive component for all counties were 0.24, 0.035 and 0.72, respectively. The values of the autoregressive component for most counties were greater than 0.7. The endemic component of the top 10 counties with the highest values was greater than 0.34. Two counties with value of the spatiotemporal component higher than 0.1 were Xihu landscape county and Shengsi county. From 2016 to 2022, the endemic and autoregressive components of each county showed obvious seasonal changes. Conclusion: The scaling exponent had both temporal trend characteristics and significant heterogeneity in the association between each type of syphilis and population size. Primary syphilis and latent syphilis exhibited a linear pattern, secondary syphilis presented a superlinear pattern, and tertiary syphilis exhibited a sublinear pattern. This suggested that further prevention of infection and transmission among high-risk populations and improvement of diagnostic accuracy in underdeveloped areas is needed. The autoregressive components and the endemic components were the main driving factors that affected the occurrence of syphilis. Targeted prevention and control strategies must be developed based on the main driving modes of the epidemic in each county.

Estimation of influenza incidence and analysis of epidemic characteristics from 2009 to 2022 in Zhejiang Province, China.

Background: Influenza infection causes a huge burden every year, affecting approximately 8% of adults and approximately 25% of children and resulting in approximately 400,000 respiratory deaths worldwide. However, based on the number of reported influenza cases, the actual prevalence of influenza may be greatly underestimated. The purpose of this study was to estimate the incidence rate of influenza and determine the true epidemiological characteristics of this virus. Methods: The number of influenza cases and the prevalence of ILIs among outpatients in Zhejiang Province were obtained from the China Disease Control and Prevention Information System. Specimens were sampled from some cases and sent to laboratories for influenza nucleic acid testing. Random forest was used to establish an influenza estimation model based on the influenza-positive rate and the percentage of ILIs among outpatients. Furthermore, the moving epidemic method (MEM) was applied to calculate the epidemic threshold for different intensity levels. Joinpoint regression analysis was used to identify the annual change in influenza incidence. The seasonal trends of influenza were detected by wavelet analysis. Results: From 2009 to 2021, a total of 990,016 influenza cases and 8 deaths were reported in Zhejiang Province. The numbers of estimated influenza cases from 2009 to 2018 were 743,449, 47,635, 89,026, 132,647, 69,218, 190,099, 204,606, 190,763, 267,168 and 364,809, respectively. The total number of estimated influenza cases is 12.11 times the number of reported cases. The APC of the estimated annual incidence rate was 23.33 (95% CI: 13.2 to 34.4) from 2011 to 2019, indicating a constant increasing trend. The intensity levels of the estimated incidence from the epidemic threshold to the very high-intensity threshold were 18.94 cases per 100,000, 24.14 cases per 100,000, 141.55 cases per 100,000, and 309.34 cases per 100,000, respectively. From the first week of 2009 to the 39th week of 2022, there were a total of 81 weeks of epidemics: the epidemic period reached a high intensity in 2 weeks, the epidemic period was at a moderate intensity in 75 weeks, and the epidemic period was at a low intensity in 2 weeks. The average power was significant on the 1-year scale, semiannual scale, and 115-week scale, and the average power of the first two cycles was significantly higher than that of the other cycles. In the period from the 20th week to the 35th week, the Pearson correlation coefficients between the time series of influenza onset and the positive rate of pathogens, including A(H3N2), A (H1N1)pdm2009, B(Victoria) and B(Yamagata), were - 0.089 (p = 0.021), 0.497 (p < 0.001), -0.062 (p = 0.109) and - 0.084 (p = 0.029), respectively. In the period from the 36th week of the first year to the 19th week of the next year, the Pearson correlation coefficients between the time series of influenza onset and the positive rate of pathogens, including A(H3N2), A (H1N1)pdm2009, B(Victoria) and B(Yamagata), were 0.516 (p < 0.001), 0.148 (p < 0.001), 0.292 (p < 0.001) and 0.271 (p < 0.001), respectively. Conclusion: The disease burden of influenza has been seriously underestimated in the past. An appropriate method for estimating the incidence rate of influenza may be to comprehensively consider the influenza-positive rate as well as the percentage of ILIs among outpatients. The intensity level of the estimated incidence from the epidemic threshold to the very high-intensity threshold was calculated, thus yielding a quantitative standard for judging the influenza prevalence level in the future. The incidence of influenza showed semi-annual peaks in Zhejiang Province, including a main peak from December to January of the next year followed by a peak in summer. Furthermore, the driving factors of the influenza peaks were preliminarily explored. While the peak in summer was mainly driven by pathogens of A(H3N2), the peak in winter was alternately driven by various pathogens. Our research suggests that the government urgently needs to address barriers to vaccination and actively promote vaccines through primary care providers.

Egg consumption reduces the risk of depressive symptoms in the elderly: findings from a 6-year cohort study.

BACKGROUND: Accumulating evidence showed that dietary habits might modify the risk of depression. This study aimed to evaluate the longitudinal association of egg consumption with depressive symptoms in the Chinese elderly. METHODS: We analyzed the data from Zhejiang Ageing and Health Cohort Study including 8289 participants. The Patient Health Questionnaire-9 scale (PHQ-9) was used to assess depressive symptoms at baseline and three waves of follow-up (2015, 2016, and 2019-2020). A PHQ-9 cut-off score ≥ 5 was used to define depressive symptoms. The participants with depressive symptoms at baseline were excluded. Egg consumption was evaluated through the diet habits section of the baseline questionnaire. Self-reported egg consumption was measured as the number of eggs per week and categorized into three categories. Log-binomial regression models with Generalized Estimating Equations were utilized to evaluate the association of egg consumption with depressive symptoms and estimate relative risks (RRs). RESULTS: The mean age of included participants was 68.6 years. After 6 years of follow-up, 1385 (16.7%) participants were indicated with depressive symptoms by PHQ-9 at least once. Compared with non-consumers or less-than-weekly consumers, participants consuming < 3 eggs/week and ≥ 3 eggs/week had 30% (RR = 0.70, 95%CI 0.62-0.80) and 38% (RR = 0.62, 95%CI 0.54-0.71) lower risks of depressive symptoms, respectively. A linear association was confirmed (P for trend < 0.01), and each egg increment per week was associated with a 4% lower risk of depressive symptoms (RR = 0.96, 95%CI 0.93-0.99). Sensitivity analyses yielded consistent results to the main analyses. CONCLUSIONS: Egg consumption is prospectively related to a lower risk of depressive symptoms in the Chinese elderly. More prospective studies are needed to verify the association.

Prevalence of depressive symptoms among grassroots healthcare workers in Zhejiang Province / 预防医学

Objective@#To investigate the prevalence and influencing factors of depressive symptoms among grassroots healthcare workers in Zhejiang Province, so as to provide insights into improving their mental health. @*Methods@#Grassroots healthcare workers of community health service centers and township health centers were sampled from one county (city, district) in each of 11 cities in Zhejiang Province using a convenience sampling method from December 2022 to January 2023. Participants' gender, age, educational level and average daily sleep duration in the past week were collected through questionnaires, and depression symptoms was investigated according to Self-rating Depression Scale. Factors affecting the depressive symptoms were identified using a multivariable logistic regression model. @*Results@#A total of 1 946 questionnaires were distributed, and 1 945 valid questionnaires were recovered, with an effective response rate of 99.95%. There were 444 boys, accounting for 22.83%, and 1 501 girls, accounting for 77.17%. The median age was was 36 (interquartile range, 44) years. There were 786 healthcare workers detected with depressive symptoms, with a prevalence rate of 40.41%, and the prevalence rates of mild, moderate and severe depressive symptoms were 26.94%, 10.49% and 2.98%, respectively. Multivariable logistic regression analysis identified age (50 years and older, OR=0.572, 95%CI: 0.386-0.846), annual income (100 000 to 149 999 Yuan, OR=0.780, 95%CI: 0.635-0.958; 150 000 to 199 999 Yuan, OR=0.463, 95%CI: 0.282-0.760; 200 000 Yuan and above, OR=0.303, 95%CI: 0.098-0.937), vocation (nurse, OR=1.593, 95%CI: 1.252-2.027) and sleep duration (less than 7 hours, OR=2.164, 95%CI: 1.768-2.648) as factors affecting depressive symptoms among grassroots healthcare workers in Zhejiang Province.@*Conclusions@#The prevalence of depressive symptoms among grassroots healthcare workers in Zhejiang Province is 40.41%. Age, annual income, job and sleep duration may affect the development of depressive symptoms among grassroots healthcare workers.

Factors affecting cataract among the elderly population / 预防医学

Objective@#To investigate the factors affecting cataract among the elderly, so as to provide insights into cataract control.@*Methods@#Based on the major public health monitoring project of Zhejiang Province, residents at ages of 60 years and older were selected from 7 districts (counties) using a multi-stage stratified cluster random sampling method, and were followed up every other year from 2014 to 2020. Demographics, lifestyle, dietary habits and cataract incidence were collected, and factors affecting the incidence of cataract were identified using a multivariable Cox proportional hazard regression model.@*Results@# Totally 9 642 residents were investigated, with a mean age of (68.89±7.39) years, and including 4 635 males (48.07%). There were 828 incident cataract cases, with an incidence rate of 20.946/1 000 person-years. Multivariable Cox proportional hazard regression analysis showed that women (HR=1.695, 95%CI: 1.377-2.088), age of 65 years and older (HR=1.707-5.044, 95%CI: 1.400-7.327), overweight/obesity (HR=1.313, 95%CI: 1.131-1.524), educational level (primary school, HR=1.642, 95%CI: 1.400, 1.926; junior high school, HR=1.553, 95%CI: 1.148-2.102), annual family income (10 000 to 50 000 Yuan, HR=1.353, 95%CI: 1.155-1.585; 50 000 to 100 000 Yuan, HR=0.663, 95%CI: 0.500-0.881; 100 000 to 150 000 Yuan, HR=0.340, 95%CI: 0.204-0.565), smoking (HR=0.649, 95%CI: 0.494-0.853), frequency of vegetable intake of >3 days/week (HR=0.693, 95%CI: 0.527-0.912), frequency of fruit intake of >3 days/ week (HR=0.833, 95%CI: 0.694-0.899), frequency of egg intake of >3 days/week (HR=0.579, 95%CI: 0.450-0.745), frequency of soy products intake of >3 days/week (HR=0.706, 95%CI: 0.588-0.849), frequency of dairy products intake of >3 days/week (HR=1.510, 95%CI: 1.199-1.901) and frequency of nut intake of >3 days/week (HR=1.733, 95%CI: 1.162-2.586) were statistically associated with the development of cataract among the elderly. @*Conclusion @#Gender, age, body mass index, educational level, income, smoking, and frequency of vegetables, fruits, eggs, soy products, dairy products and nuts intake are associated with the development of cataracts.

Theories-based determinants analysis of Hib-combined vaccine hesitancy in China: A multi-group structural equation modeling.

OBJECTIVES: To explore determinants of Hib-combined vaccine hesitancy in Chinese parents, and to provide scientific intervention measures to tackle vaccine hesitancy. METHODS: 2,531 parents were recruited from local healthcare centers in Zhejiang Province by accidental sampling, and completed the self-developed online questionnaire with voluntary participation. Health Belief Model and Model of Determinants of Vaccine Hesitancy were applied to construct the framework of research. Multi-group Structural Equation Modeling was performed to explore the effects of determinants of vaccine hesitancy across various socio-economic status (SES). RESULTS: Hib-combined vaccine hesitancy for total sample was 2.184 ± 0.777 (95%CI: 2.153-2.214), and most of them were in low (n = 1436, 56.7%) level. Low SES group (2.335 ± 0.763, 95%CI: 2.271-2.400) had significantly highest vaccine hesitancy. For total sample, Self-Efficacy and Cues to Action presented -0.517 and -0.437 of standard total effect on Vaccine Hesitancy, respectively. The Multi-group Structural Equation Model with satisfying goodness of fit in SES groups (χ2 = 1616.074, df = 314, χ2/df = 5.147, CFI = 0.973, TLI = 0.966, SRMR = 0.027, RMSEA = 0.041) showed that Cues to Action imposed -0.621 (95%CI: -0.867-0.389, p < .001) of major standard total effect on Vaccine Hesitancy in low SES group, while Self-Efficacy imposed -0.560 (95%CI: -0.668-0.444, p < .001) and -0.685 (95%CI: -0.841-0.454, p < .001) of principal standard total effect on Vaccine Hesitancy in middle and high SES groups, respectively. CONCLUSIONS: Hib-combined vaccine hesitancy in Chinese parents was low, and the lower the SES, the higher the vaccine hesitancy. Cues to Action and Self-Efficacy played primary role in declining vaccine hesitancy for parents at low SES, and at middle and high SES, respectively.

A machine learning-based data mining in medical examination data: a biological features-based biological age prediction model.

BACKGROUND: Biological age (BA) has been recognized as a more accurate indicator of aging than chronological age (CA). However, the current limitations include: insufficient attention to the incompleteness of medical data for constructing BA; Lack of machine learning-based BA (ML-BA) on the Chinese population; Neglect of the influence of model overfitting degree on the stability of the association results. METHODS AND RESULTS: Based on the medical examination data of the Chinese population (45-90 years), we first evaluated the most suitable missing interpolation method, then constructed 14 ML-BAs based on biomarkers, and finally explored the associations between ML-BAs and health statuses (healthy risk indicators and disease). We found that round-robin linear regression interpolation performed best, while AutoEncoder showed the highest interpolation stability. We further illustrated the potential overfitting problem in ML-BAs, which affected the stability of ML-Bas' associations with health statuses. We then proposed a composite ML-BA based on the Stacking method with a simple meta-model (STK-BA), which overcame the overfitting problem, and associated more strongly with CA (r = 0.66, P < 0.001), healthy risk indicators, disease counts, and six types of disease. CONCLUSION: We provided an improved aging measurement method for middle-aged and elderly groups in China, which can more stably capture aging characteristics other than CA, supporting the emerging application potential of machine learning in aging research.

Soy product consumption and the risk of major depressive disorder in older adults: Evidence from a cohort study.

Background: To explore the association between soy product consumption and the risk of depression in the community. Methods: In 2014, a total of 10,901 older people were recruited from Zhejiang province, China, and completed food frequency interviews. Participants were followed up over the next 6 years, and depression was assessed at each visit. Finally, 6,253 participants were included in the present study. Mixed effects models were performed to analyze the association by multivariate adjustments for potential confounders. Results: Over four-fifths of the eligible participants took soy food at least one day per week. The mixed effects model has shown the adjusted odds ratios (95% CI) of high-frequency consumers (4-7 days per week) were 0.46 (0.39-0.54) for depression with a cut-off score of 5, compared with non-consumers. Conclusions: More frequent soy product consumption was associated with a lower risk of depression.

Trend of hand, foot, and mouth disease from 2010 to 2021 and estimation of the reduction in enterovirus 71 infection after vaccine use in Zhejiang Province, China.

BACKGROUND: Zhejiang, ranked in the top three in HFMD (hand, foot, and mouth disease) incidence, is located in the Yangtze River Delta region of southeast China. Since 2016, the EV71 vaccine has been promoted in Zhejiang Province. This study aimed to investigate the trend and seasonal variation characteristics of HFMD from 2010 to 2021 and estimate the reduction in enterovirus 71 infection after vaccine use. METHODS: The data on HFMD cases in Zhejiang Province from January 2010 to December 2021 were obtained from this network system. Individual information on cases and deaths was imported, and surveillance information, including demographic characteristics and temporal distributions, was computed by the system. The Joinpoint regression model was used to describe continuous changes in the incidence trend. The BSTS (Bayesian structural time-series models) model was used to estimate the monthly number of cases from 2017 to 2021 based on the observed monthly incidence during 2010-2016 by accounting for seasonality and long-term trends. The seasonal variation characteristics of HFMD pathogens were detected by wavelet analysis. RESULTS: From 2010 to 2021, the annual incidence rate fluctuated between 98.81 cases per 100,000 in 2020 and 435.63 cases per 100,000 in 2018, and 1711 severe HFMD cases and 106 fatal cases were reported in Zhejiang Province, China. The annual percent change (APC) in EV71 cases was -30.72% (95% CI: -45.10 to -12.50) from 2016 to 2021. The wavelet transform of total incidence and number of cases of the three pathogens all showed significant periodicity on the 1-year scale. The average 2-year scale periodicity was significant for the total incidence, EV71 cases and Cox A16 cases, but the other enterovirus cases showed significant periodicity on the 30-month scale. The 6-month scale periodicity was significant for the total incidence, EV71 case and Cox A16 case but not for the other enteroviruses case. The relative error percentage of the performance of the BSTS model was 0.3%. The estimated number of cases from 2017 to 2021 after the EV-A71 vaccines were used was 9422, and the reduction in the number of cases infected with the EV71 virus was 73.43% compared to 70.80% when the impact of the COVID-19 epidemic in 2020 was excluded. CONCLUSIONS: Since 2010, the incidence of EV71 infections has shown an obvious downward trend. All types of viruses showed significant periodicity on the 1-year scale. The periodicity of the biennial peak is mainly related to EV71 and Cox A16 before 2017 and other enteroviruses since 2018. The half-year peak cycle of HFMD was mainly caused by EV71 and Cox A6 infection. The expected incidence will be 2.76 times(include the cases of 2020) and 2.43 times(exclude the cases of 2020) higher than the actual value assuming that the measures of vaccination are not taken. EV71 vaccines are very effective and should be administered in the age window between 5 months and 5 years.

Beneficial Effects of Nut Consumption on Cognitive Function Among Elderly: Findings From a 6-Year Cohort Study.

Objective: To evaluate the longitudinal association of nut consumption with cognitive function in Chinese elderly. Methods: We analyzed the data from Zhejiang Ageing and Health Cohort Study including 9,028 participants. Nut consumption was evaluated in baseline questionnaire beginning at 2014. Cognitive function was assessed repeatedly through the Mini-Mental State Examination (MMSE) at baseline and three waves of follow-up (2015, 2016, and 2019-2020). Cognitive impairment was defined using education-specific cut-off points. Log-binomial regression models with the generalized estimating equations, controlled for an extensive range of potential confounders, were utilized to evaluate the association and estimate relative risk (RR). Results: After 6 years of follow-up, 3,266 (36.18%) participants were indicated as cognitive impairment by MMSE at least once. Compared with non-consumers or less-than-weekly consumers, participants consuming ≥70 g/week of nuts had 17% lower risks of cognitive impairment (RR = 0.83, 95% CI 0.75-0.91), whereas no association was found in those consuming <70 g/week of nuts. Moreover, relatively infrequent higher-amount consuming (≥70 g within one consuming day each week) was not associated with better cognitive performance. Furthermore, we did not observe significant effect modification caused by frequency of other food intake. Conclusion: Higher nut consumption was prospectively related to a lower risk of cognitive impairment in Chinese elderly.

Stock market fluctuation and stroke incidence: A time series study in Eastern China.

OBJECTIVE: To explore the association between daily change of Shanghai Stock Exchange (SSE) Composite Index and stroke incidence in Zhejiang, China. METHODS: Data on daily stock index change and stroke incidence during 2009-2016 were collected to form the time series. Data were analyzed using distributed lag non-linear model (DLNM) with quasi-Poisson as link function, controlling for long-term and seasonal trends, day of the week, public holiday, meteorological factors, and economic conditions. RESULTS: Large changes in daily stock index were associated with increased risk of stroke. Rise of stock index was significantly related to higher stroke incidence without delay. The relative risks (RRs) of stroke on the lag0 day were 1.040 (95% CI 1.011-1.071) for 100 index increase, and 1.111 (95% CI 1.000-1.235) for 200 index increase. Additionally, fall of stock index was associated with higher stroke incidence at lag of 5 and 6 days. The relative risks (RRs) of stroke for -200 index decline on the lag5 and lag6 day were 1.058 (95% CI 1.025-1.093) and 1.061 (95% CI 1.019-1.104) respectively. The association was relatively consistent across subgroups stratified by the subtype of stroke, gender, and age groups. CONCLUSION: Both rise and fall of stock index were associated with an elevated occurrence of stroke.

Impact of air pollution exposure on the risk of Alzheimer's disease in China: A community-based cohort study.

Alzheimer's disease (AD) is the most common type of dementia. Impact of air pollution (AP) on the risk of AD is unclear. It is unknown which air pollutants are independently associated with AD and whether fish consumption mitigated the association. We carried out a community-based cohort of 6115 participants aged ≥60 years in China to examine the association of PM2.5, PM10, CO, NO2, SO2 and O3 exposure with AD, and differences in the association between people with low and high consumption of fish. The participants were randomly recruited from six counties in Zhejiang province for health survey to document socio-demographic and disease risk factors in 2014, and were followed up to diagnose AD in 2019. A total of 986 cohort members were diagnosed with AD. Based on the daily mean air pollutants monitored in 2013-2015 in the counties, participants were divided into low, middle and high AP exposure groups for subsequent analysis. The multiple adjusted odds ratio (OR) of AD in participants living with the middle and high levels of PM2.5 exposure versus the low exposure were 1.50 (95% CI 0.90-2.50) and 3.92 (2.09-7.37). The increased ORs were also with PM10 (1.74, 0.65-4.64; 3.00, 1.22-7.41) and CO (2.86, 1.32-6.20; 1.19, 0.45-3.18), but not with NO2 (0.63, 0.17-2.27; 0.95, 0.28-3.19), SO2 (0.44, 0.19-1.001; 1.21, 0.56-2.62), and O3 (0.38, 0.20-0.74; 0.50, 0.21-1.21). There were no significant interaction effects of AP with fish consumption on AD. However, participants with low consumption of fish appeared to have higher ORs in PM2.5 exposure (1.80, 1.39-2.33; 5.18, 3.93-6.82) than those high consumption (1.38, 0.78-2.47; 2.89, 1.50-5.59). Our findings of PM2.5, PM10 and CO exposure significantly increased the risk of AD and the potential mitigating effect of fish consumption on the association provide evidence for developing effective strategies for AD reduction and air pollution control.

Physical Work and Exercise Reduce the Risk of Cognitive Impairment in Older Adults: A Population-based Longitudinal Study.

BACKGROUND: The independent effect of physical work on the risk of cognitive impairment in older Chinese older adults living in rural areas remains to be elucidated. OBJECTIVE: We aimed to determine whether physical work and physical exercise can reduce the risk of cognitive impairment. METHODS: We collected data from 7,000 permanent residents without cognitive impairment (age ≥60 years) over a follow-up period of 2 years. We used the Chinese version of the Mini-Mental State Examination (MMSE) to assess cognitive function. We performed multivariate Cox regression analyses to calculate adjusted Hazard Ratios (HRs) and 95% Confidence Intervals (%95 CIs) as measures of the association between physical work/exercise and cognitive impairment while controlling for potential confounders. RESULTS: Over a median follow-up period of 1.93 years, 1,224 (17.5%) of 7,000 participants developed cognitive impairment, with a total incidence of 97.69 per 1,000 person-years. After adjustment for potential confounders, participating in physical work (HR: 0.51; 95% CI: 0.43-0.60) or physical exercise (HR: 0.53; 95% CI: 0.44-0.65) was associated with a reduced risk of cognitive impairment. Stratified analyses suggested additive and multiplicative interactions between physical work and exercise. Agricultural work (HR: 0.46; 95% CI: 0.38-0.55), walking/tai chi (HR: 0.54; 95% CI: 0.44-0.67), and brisk walking/yangko (HR: 0.57; 95% CI: 0.33-0.97) exerted significant protective effects against cognitive impairment. CONCLUSION: Both physical work and exercise can reduce the risk of cognitive impairment in older adults. Reasonable types and appropriate intensities of physical activity are recommended to prevent or delay the progression of cognitive impairment.

Spatiotemporal analysis and the characteristics of the case transmission network of 2019 novel coronavirus disease (COVID-19) in Zhejiang Province, China.

BACKGROUND: Zhejiang Province is one of the five provinces in China that had the highest incidence of novel coronavirus disease (COVID-19). Zhejiang, ranked fourth highest in COVID-19 incidence, is located in the Yangtze River Delta region of southeast China. This study was undertaken to identify the space-time characteristics of COVID-19 in Zhejiang. METHODS: Data on COVID-19 cases in Zhejiang Province from January to July 2020 were obtained from this network system. Individual information on cases and deaths was imported, and surveillance information, including demographic characteristics and geographic and temporal distributions, was computed by the system. The Knox test was used to identify possible space-time interactions to test whether cases that are close in distance were also close in time. Network analysis was performed to determine the relationship among the cases in a transmission community and to try to identify the key nodes. RESULTS: In total, 1475 COVID-19 cases and 1 fatal case were reported from January to July 2020 in Zhejiang Province, China. Most of the cases occurred before February 15th, which accounted for 90.10%. The imported cases increased and became the main risk in Zhejiang Province after February 2020. The risk areas showed strong heterogeneity according to the Knox test. The areas at short distances within 1 kilometer and at brief periods within 5 days presented relatively high risk. The numbers of subcommunities for the four clusters were 12, 9, 6 and 4. There was obvious heterogeneity in the modularity of subcommunities. The maximum values of the node centrality for the four clusters were 2.9474, 4.3706, 4.1080 and 2.7500. CONCLUSIONS: COVID-19 was brought under control over a short period in Zhejiang Province. Imported infections from outside of mainland China then became a new challenge. The effects of spatiotemporal interaction exhibited interval heterogeneity. The characteristics of transmission showed short range and short term risks. The importance to the cluster of each case was detected, and the key patients were identified. It is suggested that we should focus on key patients in complex conditions and in situations with limited control resources.

A practice of using five-colour chart to guide the control of COVID-19 and resumption of work in Zhejiang Province, China.

Since the outbreak of COVID-19 in December 2019 in Wuhan, Zhejiang has become the province with the largest number of cases. The aim of this article is to present Zhejiang province's experience of establishing an accurate and smart control mechanism for epidemic prevention and control and resumption of work and production using a 'five-colour epidemic chart'. The number of confirmed cases, proportion of local cases, and occurrence of clustered outbreaks were used as evaluation indicators to calculate the county-level epidemic risk and were assigned different weight coefficients; the absence of cases for 3 and 7 consecutive days was used as the adjustment index. When the first chart was published on February 9, there were 1 very-high-risk, 12 high-risk, and 12 low-risk counties. Under the five-colour chart, Zhejiang began to adopt precise measures to prevent and control the epidemic and resume work and production. By February 24, the low-risk counties had expanded to 82, with no high-risk and very-high-risk counties. The epidemic situation in Zhejiang province has been effectively controlled. The experience of epidemic prevention and control in Zhejiang is worthy to be emulated and learned by other countries and regions.

Willingness to receive SARS-CoV-2 vaccine among healthcare workers in public institutions of Zhejiang Province, China.

This study aims to investigate healthcare workers' (HCWs) willingness to receive SARS-CoV-2 vaccine in Zhejiang and to discover the related influential factors. The survey was conducted in six regions of Zhejiang Province, China, and 13 hospitals and 12 Centers for Disease Control and Prevention (CDC) were incorporated into the survey research. Participants were healthcare workers and a total of 3726 questionnaires were collected online, of which 3634 (97.53%) were analyzed. The relationships between the factors and the willingness to get vaccinated against COVID-19 were computed as odds ratios (ORs) by means of multi-factor non-conditional logistic regression analysis. Of the 3634 participants, 2874 (79.09%) HCWs expressed their willingness to get vaccinated if the SARS-CoV-2 vaccine becomes available. Respondents who were younger than 50 years (OR = 1.502, 95% CI: 1.047-2.154), those who believed that they were somewhat likely (OR = 1.658, 95% CI: 1.297-2.120) or likely (OR = 1.893, 95% CI: 1.334-2.684) to get infected by SARS-COV-2 and those with a positive attitude toward the SARS-CoV-2 vaccine were more willing to get vaccinated. Furthermore, compared to doctors, nurses were more reluctant to get vaccinated. In addition, it was found that higher the education level, lower the willingness to get vaccinated. This study revealed that HCWs in Zhejiang Province had a high willingness to get vaccinated. Awareness about the vaccine's effectiveness and safety and the disease severity should be promoted among HCWs over 50 years of age and nurses to increase the willingness to get vaccinated.

Does aluminum exposure affect cognitive function? a comparative cross-sectional study.

OBJECTIVES: This study assessed the cognitive function of aluminum-exposed participants from an alum mining zone, compared them with unexposed subjects, and aimed to elucidate the effect of aluminum exposure on cognition. DESIGN: This was a comparative cross-sectional study. Univariate analyses were used to assess the differences between the aluminum-exposed and unexposed groups. Binary logistic regression models were applied to analyze the effect of aluminum exposure. SETTING: The aluminum-exposed participants were included from an alum mining zone and the unexposed subjects were residents from another district without alum-mine-related factories. PARTICIPANTS: We included 539 aluminum-exposed participants (254 men, 285 women) and 1720 unexposed participants (692 men, 1028 women). RESULTS: The mean cognition score on Mini-Mental State Examination was 21.34 (± 6.81) for aluminum-exposed participants. The exposed group had 6.77 times (95% confidence interval, 5.09-9.00) more risk of cognitive impairment than the unexposed group, after adjusting for age, sex, and educational level. No statistically significant association was found between exposure duration and cognition. CONCLUSIONS: This study demonstrated a significant association between aluminum exposure and lower cognitive function.