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Objective@#To examine the associations of fibroblast growth factor 19 (FGF19), its co-receptor KLB gene and its receptor FGFR4 with susceptibility to sarcopenia, so as to provide insights into elucidation of sarcopenia pathogenesis and formulation of precision interventions for sarcopenia.@*Methods@#A case-control study was conducted. Patients with sarcopenia at ages of 60 years and older included in the Zhejiang Provincial Elderly Health Surveillance Cohorts were selected as the sarcopenia group, and normal residents at ages of 60 years and older were served as controls. Subjects' demographics were collected using questionnaire surveys, and the height, body weight, appendicular skeletal muscle mass and grip strength were measured. Genomic DNA was extracted from blood samples for multiplex PCR targeted capture. The associations between the KLB gene single-nucleotide polymorphisms (SNPs) and susceptibility to sarcopenia were evaluated using multivariable logistic regression models. @*Results@#There were 200 cases in the sarcopenia group, including 91 men and 109 women, and 180 cases in the control group, including 70 men and 110 women. All SNPs satisfied the Hardy-Weinberg equilibrium, and the minor allele frequencies were all > 0.05. There were no significant differences in the distribution of SNPs between the sarcopenia and control groups (all P>0.05). Multivariable logistic regression analysis showed that the SNP rs2687968 locus in the KLB gene was significantly associated with the susceptibility to sarcopenia among the elderly men (superdominant model), and individuals carrying the AC allele had a 2.332-fold higher risk of sarcopenia than those carrying the AA/CC allele (95%CI: 1.882-3.313). @*Conclusions@#KLB gene may correlate with the susceptibility to sarcopenia among the elderly men.
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Objective@#To perform an epidemiological survey of the first case with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Pinghu City of Jiaxing City, Zhejiang Province on March 13, 2022, so as to provide insights into the management of coronavirus disease (COVID-19) epidemics. @*Methods@#According to the requirements of the Protocol on Prevention and Control of COVID-19 (8th Edition), epidemiological investigations were performed among 39 cases with SARS-CoV-2 infections in Pinghu City from March 13 to 20, 2022. Cases' demographics, clinical symptoms, history of immunization and exposure were collected, and close contacts were identified. Pharyngeal swabs were sampled from infected cases for detection of SARS-CoV-2 nucleic acid and whole-genome sequencing, and the source of infection and transmission route were investigated. @*Results@#The index case for this COVID-19 epidemic was an imported case from Shanghai Municipality, who infected 6 persons via aerosol transmission when playing in the badminton venue of Pinghu National Fitness Center on March 9; subsequently, one of these infected cases infected another 18 persons when playing in the badminton venue of Jiadian Village Resident's Fitness Center in Zhapu Township on March 12. Sixteen confirmed cases were reported, and all cases were mild; another 23 asymptomatic cases were diagnosed, with no death reported. This epidemic occurred from March 11 to 20, with 3 generations of spread and a median incubation period of 3 days. The SARS-CoV-2 infected cases had a median age of 33.5 (interquartile range, 12.0) years and included 36 cases with a history of COVID-19 vaccination. There were 16 cases with fever, cough, runny nose and sore throat, and 13 cases with imaging features of pneumonia. The effective reproductive number (Rt) of the COVID-19 epidemic was 7.73 at early stage, and was less than 1 since March 21. Whole-genome sequencing identified Omicron BA.2 variant among 33 cases, which had high homology with the index cases. @*Conclusion@#This epidemic was a cluster of COVID-19 caused by imported Omicron BA.2 variant infection from Shanghai Municipality, and the COVID-19 transmission was mainly caused by indoor aerosols.
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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.
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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.