ABSTRACT
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.
ABSTRACT
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.
ABSTRACT
Objeetive@#To evaluate the imported risk of COVID-19 cases from aboard to Zhejiang Province,so as to provide reference for control strategies.@*Methods@#The epidemic data of COVID-19 in 9 foreign countries（US,UK,Italy,etc.）and Zhejiang Province were collected,as well as the number of entry persons. The imported risk values of COVID-19 cases to 90 counties（cities or districts）of Zhejiang Province and from the 9 countries during March 7th and 30th were calculated and normalized to the imported risk indexes. The imported risk indexes were classified into five levels from high to low according to percentiles. The imported risk of 90 counties（cities or districts）,the developing trend and the source were analyzed. @*Results @#A total of 39 confirmed cases and 24 asymptomatic cases were imported to Zhejiang Province untill March 30th. There were 10,13,22,21 and 24 counties（cities or districts）with high,medium high,medium,medium low and low imported risk,respectively. Qingtian had the highest imported risk（0.43）,followed by Ruian（0.32）and Wencheng（0.29）. The imported risks in 80（88.89%）counties（cities or districts）showed increased trend. The highest imported risk came from Italy（0.51）,followed by US（0.14）and Spain（0.11）. The imported risk in Wenzhou and Lishui mainly came from Italy and Spain,while that in the other areas mainly came from US,Germany and UK. @*Conclusions@#The risk of imported COVID-19 cases from aboard to Zhejiang Province showed an upward trend since March. The areas at high and medium high risk lay in southeast Zhejiang and the downtown of Hangzhou. The source of imported risk were maimly from Italy,US and Spain,but varied in counties.