Pneumonia is a common lower respiratory tract infection, which causes a large disease and economic burden worldwide, and is an important public health problem to be solved urgently. Based on review of publications pertaining to the epidemiology of pneumonia from 2013 to 2023, this article summaries the epidemiological characteristics and main influencing factors of pneumonia. It is found that the epidemiological characteristics of pneumonia vary in different areas; men, the elderly and children are the high-risk groups of pneumonia incidence and mortality; and age, smoking, alcohol consumption, air pollution, comorbidity and vaccination are the main factors affecting the incidence and mortality of pneumonia. Strengthening health education, reducing exposure to risk factors and promoting vaccination are recommended to lower the morbidity and mortality of pneumonia in susceptible populations.

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.

Chronic kidney disease (CKD) is characterized by long course, poor prognosis, multiple complications and high cost of treatment, thus it has become a major public health problem. Based on review of publications pertaining to the epidemiological study of CKD from February 2002 to March 2023, this article summarizes the epidemiological characteristics, risk factors, prevention and control strategies of CKD. It is found that China has the largest number of adult patients with CKD in Asia, and the prevalence of CKD is higher among females and elderly people. The influencing factors for CKD include cardiovascular diseases, diabetes, hypertension and coronavirus disease 2019. Henceforth, it is of vital importance to emphasize three levels of prevention and optimize the CKD management, so as to support for prevention and control of CKD.

Objective To compare the effectiveness of seasonal autoregressive integrated moving average (SARIMA) model, additive Holt-Winters model, Holt-Winters' multiplicative model, GM (1, 1) model and linear combination prediction model for prediction of pulmonary tuberculosis incidence. Methods Data pertaining to monthly incidence of pulmonary tuberculosis in Xinjiang Uyghur Autonomous Region from 2004 to 2008 were captured from Public Health Sciences Data Center. The SARIMA model, additive Holt-Winters model, Holt-Winters' multiplicative model, GM (1, 1) model and linear combination prediction model were created based on the incidence of pulmonary tuberculosis from January 2004 to June 2018, to predict the incidence of pulmonary tuberculosis from July to December 2018. The predictive value of each model was evaluated using absolute percentage error (APE), mean APE (MAPE) and root mean square error (RMSE), and the best model was selected based on minimum APE, MAPE and RMSE. Results The SARIMA model showed the minimum APE (10.94%), 11.01% and 7.96% MAPE and 564 and 419 RMSE at the model-fitting and prediction phases; followed by the linear combination prediction model, with 13.71% APE, 12.01% and 7.94% MAPE and 600 and 447 RMSE at the model-fitting and prediction phases, while the additive Holt-Winters model, Holt-Winters' multiplicative model and GM (1, 1) model showed a low predictive value. Conclusion The SARIMA and linear combination prediction models are superior to additive Holt-Winters model, Holt-Winters' multiplicative model and GM (1, 1) model for prediction of pulmonary tuberculosis incidence.

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 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.

Human adenovirus (HAdV), which is characterized by infectivity, complex pathogenesis and multiple target organs, causes multiple organ infections in the respiratory system, gastrointestinal system and eyes, which seriously endangers human health. Various subspecies of HAdV has different tissue tropism, which presents diverse clinical symptoms and epidemiological characteristics. Based on the molecule biological characteristics of HAdV, this review summarizes the clinical symptoms and epidemiological characteristics of HAdV infections depending on tissue tropism, and describes the trends in HAdV epidemiology, so as to provide insights into prevention and control of HAdV infections.

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 prevalence of depression and anxiety among transgender populations and the correlation with defense mechanism, so as to provide the evidence for improving mental health among transgender populations. Methods Transgender populations that visited Psychosexual Outpatient Department of Beijing Huilongguan Hospital for the first time from December 2020 to December 2021 were enrolled. Participants' demographics, depression, anxiety and type of defense mechanisms were collected using self-designed questionnaires, Self-rating Depression Scale, Self-rating Anxiety Scale and Defense Style Questionnaire (DSQ). Factors affecting depression and anxiety were identified using a multivariable logistic regression model. Results Totally 126 transgender individuals were enrolled, including 95 men (75.40%) with a mean age of (21.53±4.55) years and 31 women (24.60%) with a mean age of (23.58±5.55) years. The prevalence of depression was 46.83% among participants, including 44.07% of participants with mild depression, 30.51% with moderate depression and 25.42% with severe depression, and the prevalence of anxiety was 26.19% among participants, including 60.61% of participants with mild anxiety, 21.21% with moderate anxiety and 18.18% with severe anxiety. The detection of depression was 54.74% among men and 22.58% among women (P<0.05), and the detection of both depression (62.79% vs. 38.55%, P<0.05) and anxiety (41.86% vs. 18.07%, P<0.05) was significantly higher among transgender populations with self-injury or suicide behaviors than among those without. Multivariable logistic regression analysis showed that immature defense mechanisms increased the risk of depression (OR=1.034, 95%CI: 1.018-1.051) and anxiety (OR=1.031, 95%CI: 1.014-1.049) among transgender populations, while mature defense mechanisms reduced the risk of depression (OR=0.887, 95%CI: 0.832-0.946) and anxiety (OR=0.878, 95%CI: 0.821-0.938) among transgender populations. Conclusions The prevalence of depression and anxiety was 46.83% and 26.19% among transgender populations included in this study. Mature defense mechanisms are beneficial to reduce the risk of depression and anxiety among transgender populations.