The diabetic complications involve blood vessels, eye, kidney and foot, and cause high disability and mortality, which severely endanger human health and quality of life. Epidemiological data have shown that the mortality of diabetes appears a tendency towards a rise in China, which results in a high burden of disease, and early screening and interventions are urgently needed to reduce the risk of mortality. Based on the publications of mortality due to diabetes in China from 2010 to 2021, this review summarizes the epidemiological characteristics of diabetes mortality and the main causes of deaths due to diabetes in China, so as to provide insights into management of diabetes epidemics and reduction in risk of diabetes mortality.

Objective To systematically investigate the prevalence of anxiety among healthcare professionals during the COVID-19 pandemic, so as to provide the development of evidence-based psychological interventions among healthcare professionals. Methods The publications pertaining to the prevalence of anxiety among healthcare professionals during the COVID-19 pandemic were retrieved in national and international electronic databases from January 1, 2020 through November 30, 2021, including CNKI, Wanfang Data, VIP, SinoMed, PubMed and Web of Science. The quality of publications was evaluated using the United States Healthcare Research and Quality (AHRQ) quality assessment of included cross-sectional studies, and the pooled prevalence of anxiety was estimated among healthcare professionals using the software Open Meta Analyst version 3.0. The publication bias were evaluated with funnel plots and Begg rank correlation test. Results Totally 598 publications were retrieved, and 36 eligible publications were enrolled in the final analysis, including 33 Chinese publications and 3 English publications. There were 5 high-quality, 29 moderate-quality and 2 low-quality publications. All investigations pertaining to the prevalence of anxiety among healthcare professionals were conducted in 2020. Totally 19 872 healthcare professionals were investigated, and the prevalence of anxiety was 28.8% (95%CI: 24.0%-33.6%). Subgroup analysis showed that the prevalence of anxiety was 31.9% (95%CI: 17.6%-46.2%) among healthcare professionals from western China, 29.6% (95%CI: (17.8%-41.4%) from central China, and 25.3% (95%CI: 20.2%-30.3%) from eastern China. The prevalence of anxiety was 4.9% (95%CI: 3.3%-6.4%) among male healthcare professionals and 22.9% (95%CI: 17.7%-28.0%) among male healthcare professionals, and the prevalence of anxiety was 21.6% (95%CI: 13.2%-29.9%) among nurses, 5.2% (95%CI: 2.8%-7.5%) among doctors and 4.8% (95%CI: 2.2%-7.4%) among other healthcare professionals. The prevalence of mild, moderate and severe anxiety was 18.6% (95%CI: 14.0%-23.2%), 5.5% (95%CI: 4.1%-6.8%) and 1.9% (95%CI: 1.3%-2.5%), respectively. No publication bias was detected as revealed by funnel plots and Begg rank correlation test, and stable meta-analysis results and heterogeneity test were observed. Conclusions The prevalence of anxiety is 28.8% among healthcare professionals during the COVID-19 pandemic, and mild anxiety is predominant. A high prevalence rate of anxiety is seen female healthcare professionals and nurses, who should be given a high priority and timely psychological interventions

Objective To evaluate the association of smoking with the risk of ankylosing spondylitis (AS) using a Mendelian randomization (MR) approach. Methods A total of 16 383 186 AS-associated single nucleotide polymorphisms (SNPs), 378 smoking initiation associated SNPs and 126 lifetime smoking score-associated SNPs were collected from three large-scale genome-wide association studies (GWAS). The association of smoking phenotypes with the risk of AS was examined using inverse-variance weighted (IVW) with AS as a outcome variable, smoking initiation and lifetime smoking score as exposure factors and SNPs with strong associations with smoking as instrumental variables, and sensitivity analyses were performed with maximum likelihood-based method, MR pleiotropy residual sum and outlier (MR-PRESSO) test and MR-Egger regression analysis. Results A 33.5% increased risk of AS was found among genetically predicted smokers relative to non-smokers (OR=1.335, 95%CI: 1.059-1.682), and an increase in predicted lifetime smoking by per standard deviation resulted in a 101.4% increased risk of AS (OR=2.014, 95%CI: 1.341-3.024). The maximum likelihood-based method and MR-PRESSO test showed consistent correlated effect estimations and MR-Egger regression analysis identified no evidence of pleiotropy. Conclusion It is genetically predicted that smoking is associated with an increased risk of AS.

Objective To examine the associations of sleep with overweight/obesity and central obesity in adults, so as to provide insights into improving sleep quality and preventing obesity in adults. Methods Demographics, height, body weight, waist circumstance and sleep status were collected from the Hubei Provincial Surveillance Program for Adult Chronic Diseases and Their Risk Factors in 2020. Subjects' sleep condiction, overweight/obesity and central obesity were descriptively analyzed. The associations of sleep with overweight/obesity and central obesity were examined using a multivariable logistic regression model. Results A total of 17 789 participants were recruited, with an average age of (56.21±13.05) years, 61.50% women, and mean duration of (7.18±1.56) h/d. There were 7 019 participants with snoring/asphyxia/suffocation (39.46%), 6 108 participants with sleep difficulty (34.34%), 8 064 participants with night waking at least twice (45.33%), 268 participants taking hypnotics (1.51%), and 6 267 participants with early morning awakening and difficulty in sleep again (35.23%), and there were 8 960 participants with overweight/obesity (50.37%) and 6 148 participants with central obesity (34.56%). Multivariable logistic regression analysis showed that sleep duration of <7 h/d (OR=1.081, 95%CI: 1.007-1.159), snoring/asphyxia/suffocation (OR=2.367, 95%CI: 2.222-2.521), and night waking at least twice (OR=1.106, 95%CI: 1.028-1.191) significantly correlated with overweight/obesity, and sleep duration of >8 h/d (OR=0.834, 95%CI: 0.761-0.913), snoring/asphyxia/suffocation (OR=2.153, 95%CI: 2.019-2.297), and night waking at least twice (OR=1.193, 95%CI: 1.105-1.288) were statistically associated with central obesity. Conclusion Sleep duration, snoring/asphyxia/suffocation and night waking are associated with overweight/obesity and central obesity.

Objective To investigate the quality of life and its influencing factors among patients with gestational diabetes mellitus (GDM), so as to provide insights into the improvements in the quality of life among patients with GDM. Methods GDM patients admitted to Department of Obstetrics and Gynecology, Hangzhou First People's Hospital Affiliated to Zhejiang University Medical School from June 2021 to June 2022 were recruited. Participants' demographics, diagnosis and treatment, sleep quality, depression and social support level were collected. Patients' quality of life was evaluated using the Quality of Life Scale for Pregnant Women with Gestational Diabetes Mellitus, and the factors affecting the quality of life were identified among patients with GDM using a multivariable linear regression model. Results A total of 300 questionnaires were allocated, and 284 valid questionnaires were recovered, with an effective recovery rate of 94.67%. The respondents had a mean age of (32.81±4.93) years, and the mean scores for the quality of life was (92.63±14.10) points. Multivariable linear regression analysis identified depression (β'=-0.293), sleep disorder (β'=-0.177), insulin therapy (β'=-0.316), regular exercise (β'=0.272) and social support level (medium: β'=0.153; high: β'=0.381) as factor affecting the quality of life among GDM patients. Conclusions GDM patients have a low quality of life. Depression, sleep disorders, insulin therapy, and lack of exercises may cause a decline in the quality of life among GDM patients, and strong social support facilitates the improvements in the quality of life among GDM patients.

Type 2 diabetes mellitus (T2DM) has become a worldwide epidemic, which poses a great threat to the global healthcare system. Based on review of publications pertaining to T2DM health management in urban communities, this article focuses on the health management models of T2DM in foreign urban communities, including insurance companies and medical institutions, self-management plans, community management, community and home hybrid services, artificial intelligence + big data management, social media and online community management, precision health management, and proposes suggestions for T2DM health management in Chinese urban communities based on currently available national management models, including increasing the standardization of the management level, improving the supporting facilities of professional talents, mobilizing social forces to support, improving the scientific and technological level of management tools, strengthening the advantages of traditional Chinese medicine and exploring novel personalized models, so as to provide insights into promoting the sustainable development of T2DM health management in Chinese urban communities.

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.