(1) Background: Depression and anxiety are the most common and severe mental disorders. This research estimated the prevalence and disease burden of depression and anxiety from 1990 to 2044. (2) Methods: Data on disease burden, population, and risk factors were identified and gathered from the Global Health Data Exchange database. The time trends, sex and age differences, key factors, and regional variations in and predictions of depression and anxiety were analyzed based on the age-standardized incidence rate, prevalence rate, and DALY rate. (3) Results: Our findings revealed that the burden of depression and anxiety was heavy. Specifically, the age-standardized DALY rate of depression started to decrease compared with trends related to anxiety disorders. Meanwhile, females bear a heavier burden for both depression and anxiety. Seniors and the middle-aged population carry the highest burden regarding mental disorders. Both high- and low-socio-demographic-index countries were found to be high-risk regions for depressive disorders. The disease burden attributed to childhood sexual abuse, bullying victimization, and intimate partner violence has increased since 1990. Finally, projections regarding depression and anxiety revealed geographic and age variations. (4) Conclusions: Public health researchers, officers, and organizations should take effective age-, sex-, and location-oriented measures.

With a surge of conflicts between healthcare workers and patients in recent years, the therapeutic relationship (TR) in China is presently in tension. Meanwhile, consequent issues have begun to emerge, such as the distrust between healthcare workers and patients and the decline in the quality of medical services. Although many empirical studies about the TR have been conducted in China, previous studies on TR and its influencing factors have been contradictory. Therefore, this study conducted a systematic review and meta-analysis to assess the current situation of the TR and to identify factors associated with the TR in Chinese hospitals from three perspectives (healthcare worker, patient, and therapeutic interaction). Two reviewers independently searched the literature, selected researches, and extracted data through comprehensively searching of three international electronic databases and three Chinese electronic databases to identify all relevant observational studies on influencing factors for TR in China published in English and Chinese from January 2000 to January 2020. Among the 3290 records initially identified, 11 studies met the selection criteria. A total of 96,906 individuals were included in the review. The results showed that 55.73% of healthcare workers consider the TR to be tense, and 33.7% of patients hold this view. The meta-analysis indicated that healthcare workers who were male, older, less educated, working in a non-surgical department, and had a senior title were more likely to be pessimistic about the TR. Patients who were rural residents, highly educated, and had no medical insurance were more likely to be pessimistic about the TR. Furthermore, the mutual trust could improve rapport between healthcare workers and patients. The 25 other related factors related to the TR were analyzed and described using a narrative approach. The findings might deserve consideration in the design of relative policies to promote harmony between doctors and patients.

To analyse the prevalence of severe and critical COVID-19 cases and its determinants, a systematic review and meta-analysis were conducted using Review Manager. Four English and two Chinese databases were used to identify and explore the relationships between the severity of COVID-19 and its determinants, with no restrictions on publication date. The odds ratio and 95% CI were combined to assess the influencing level of all factors. Twenty-three articles containing a total of 15,828 cases of COVID-19 were included in this systematic review. The prevalence of severe and critical COVID-19 cases was 17.84% and 4.9%, respectively. A total of 148 factors were identified, which included behavioural, symptom, comorbidity, laboratory, radiographic, exposure, and other factors. Among them, 35 factors could be included in the meta-analysis. Specifically, for example, the male (OR 1.55, 95% CI 1.42–1.69) and elderly (OR 1.06, 95% CI 1.03–1.10) populations tended to experience severe and critical illness. Patients with cough, dyspnea, fatigue, fever, and gastrointestinal symptoms could have severe and critical diseases. Regarding laboratory results, albumin, aspartate aminotransferase, creatinine, D-dimer, fibrinogen, neutrophils, procalcitonin, platelets, and respiratory rate were potential factors that could be used to predict the severity of COVID.

As a southwestern province of China, Sichuan is confronted with geographical disparities in access to healthcare professionals because of its complex terrain, uneven population distribution and huge economic gaps between regions. With 10-year data, this study aims to explore the county-level spatial disparities in access to different types of healthcare professionals (licensed doctors, registered nurses, pharmacists, technologists and interns) in Sichuan using temporal and spatial analysis methods. The time-series results showed that the quantity of all types of healthcare professionals increased, especially the registered nurses, while huge spatial disparities exist in the distribution of healthcare professionals in Sichuan. The local Moran’s I calculations showed that high–high clusters (significantly high healthcare professional quantity in a group of counties) were detected in Chengdu (capital of Sichuan) and relatively rich areas, while low–low clusters (significantly low healthcare professional quantity in a group of counties) were usually found near the mountain areas, namely, Tsinling Mountains and Hengduan Mountains. The findings may deserve considerations in making region-oriented policies in educating and attracting more healthcare professionals to the disadvantaged areas.

Background: Gastrointestinal cancer imposes a heavy public health burden worldwide. The six major subtypes of GI cancer cases accounted for over a quarter of the total cancer cases in China. We examined and predicted the amount and trend of the burden of gastrointestinal cancer in China. Methods: We collected the crude incidence rate (CIR), age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR), crude DALY rate, age-standardized DALY rate, crude death rate (CDR), and age-standardized death rate (ASDR) by gender, age, and risk factors from the Global Burden of Disease 2021 database, covering the period from 1990 to 2021. We used an age–period–cohort (APC) model to calculate the age, period, and cohort effects separately and a Bayesian APC model to predict the epidemiological trends and the age-specific incidence. Results: In 2021, 1,957,948 incidence cases of gastrointestinal cancers were estimated in China, with an incidence rate of 137.62 per 100,000. The burden was notably higher for males, with tobacco use accounting for 26.48% of male GI cancer DALYs versus dietary risks (13.22%) being predominant in females. Metabolic risk factors showed concerning growth trends, with high fasting plasma glucose increasing by 166.06% in males and 275.72% in females. The age–period–cohort analysis revealed peak incidence at advanced ages (>80 years) for most GI cancers. By 2050, China’s gastrointestinal cancer burden is projected to increase substantially, with total cases reaching 2.92 (95% CI: 2.27, 3.77) million (49.06% increase) and crude incidence rate rising to 230.51 (95% CI: 178.98, 298.03) per 100,000 (a 67.49% increase), predominantly driven by colorectal cancer (41.74%) and stomach cancer (21.47%). While crude incidence rates show consistent increases across all GI cancers, particularly in males, age-standardized incidence rates are predicted to decrease for most cancer types except for male colorectal and biliary tract cancers. Conclusions: The burden of gastrointestinal cancer in China is growing rapidly and will continue to increase. The performance of ASIR indicated that population aging is a potential driver of the increasing burden. Cancer control policies should focus on older people. It is critical to distinguish prevention strategies by gender and age according to the major risk factors.