This study aimed to report the most current data on the incidence and disability-adjusted life years (DALY) associated with osteoarthritis in China from 1990 to 2019. Publicly available modelled data from Global Burden of Disease Study (GBD) 2019 were used. The incidence and DALY, due to osteoarthritis in China, stratified by sex, trends of associated risk factors, assess the age, period, and cohort effects on the long-term trends of osteoarthritis incidence and DALY in China from 1990 to 2019. We found that the age-standardized incidence and DALY rates of osteoarthritis in China are higher than the average levels in Asia, Africa, and Oceania. In 2019, the number of cases of osteoarthritis in China was 10,681,311, an increase of 132.66% compared with 1990. the DALY of osteoarthritis in China was 4,724,885 person-years, which was 159.70% higher than that in 1990. In 2019, the incidence and DALY rates of osteoarthritis in China was 750.96/100,000,332.19/100,000. High body-mass as risk factors for osteoarthritis DALY with the population attributable proportion (PAF) increasing steadily from 1990 to 2019. The incidence and DALY rates of three types of osteoarthritis from high to low are osteoarthritis knee, osteoarthritis hand, and osteoarthritis hip. Age–period–cohort model showed that the incidence rate of osteoarthritis in China shows a trend of increasing first and then decreasing with age; concurrently, the DALY rate of osteoarthritis in China increased with age. For the period effect, we found that the period rate ratio (RR) of osteoarthritis incidence and DALY rates kept increasing in the cohort born before 2005–2009, and then, it was gradually reduced by year of birth in the cohort born after 2005–2009. As for cohort effect, the cohort RR of incidence rate of osteoarthritis almost has no change, while the cohort RR of DALY rate of osteoarthritis kept increasing from 1990 to 2019. The burden and impact of osteoarthritis in China are substantial and are increasing. Adopting suitable control and preventive community measures to reduce modifiable risk factors is needed to reduce the current and future burden of osteoarthritis in China. Key Points• This paper analyzes the disease burden of osteoarthritis in China for the first time and discusses the influence on the disease burden of osteoarthritis from the perspectives of age, period, and cohort.

Selenium (Se) is an essential trace element known for its significant role in maintaining human health and mitigating disease progression. Selenium and its compounds exhibit high selective cytotoxicity against tumor cells. However, their anti-cervical cancer (CC) effects and underlying mechanisms have not been fully explored. This study found that sodium selenite (SS) inhibits the viability of HeLa and SiHa cells in a dose- and time-dependent manner. Intraperitoneal injection of 3 and 6 mg/kg SS for 14 days in female nude mice significantly inhibited the growth of HeLa cell xenografts without evident hepatotoxicity or nephrotoxicity. RNA sequencing results indicated that the AMP-activated protein kinase (AMPK), Forkhead box protein O (FOXO), and apoptosis signaling pathways are key regulatory pathways in SS’s anti-CC effects, and SS’s inhibition of HeLa cell proliferation may be related to autophagy and ROS-induced apoptosis. Further research has revealed that SS induces cell autophagy and apoptosis through the AMPK/mTOR/FOXO3a pathway, characterized by the upregulation of p-AMPK/AMPK, FOXO3a, LC3-II, cleaved-caspase3, and cleaved-PARP and the downregulation of p-mTOR/mTOR and p62. Additionally, SS impaired mitochondrial function, including decreased mitochondrial membrane potential, mitochondrial Ca²⁺ overload, and accumulation of mitochondrial reactive oxygen species (mtROS). Pretreatment with Mitoquinone mesylate (Mito Q) and compound C partially reversed SS-induced apoptosis, autophagy, and proliferation inhibition. Pretreatment with 3-methyladenine (3-MA) enhances SS-induced apoptosis and proliferation inhibition in HeLa cells but reverses these effects in SiHa cells. In summary, SS induces apoptosis, autophagy, and proliferation inhibition in HeLa and SiHa cells through the activation of the AMPK/mTOR/FOXO3a signaling pathway via mtROS. Autophagy activation may be a major risk factor for SS-induced apoptosis in SiHa cells but can protect HeLa cells from SS-induced apoptosis. These findings provide new evidence for understanding the molecular mechanisms underlying SS in potential new drug development for CC.

Background: Lung cancer is one of the most common malignant tumors in the world. It has become an increasingly important public health problem in China. In this study, we systematically assessed the lung cancer situation in China from 1990 to 2019 and provided an epidemiological knowledge base for the revision of health policies. The relevant data were extracted from the Global Burden of Disease (GBD) database. Methods: Based on GBD 2019 data, we evaluated the incidence, prevalence, and death rates of lung cancer in China and their change trends from 1990 to 2019, making comparisons by gender and age. Results: The age-standardized incidence and death rates (ASIR and ASDR, respectively) of lung cancer in China were higher than the average levels in Asia, Africa, Europe, and Oceania and also higher than those of neighboring Asian countries. Lung cancer rose from the seventh leading cause of death in 1990 to the fourth leading one in 2019, indicating that the disease burden of lung cancer is increasing. In 2019, the incidence, prevalence, and death rates of lung cancer were all higher in men than in women across all age groups. All three indices were lower in men and women 50 years. From 1990 to 2019, the ASIR, age-standardized prevalence rate (ASPR), and ASDR showed trends of increase ( P < .05), and the rise in the ASPR (average annual percentage change [AAPC] = 1.9) was greater than those in the ASIR (AAPC = 1) and ASDR (AAPC = .8). Conclusions: From 1990 to 2019, the incidence, prevalence, and death rates of lung cancer continued to increase in China. To reduce this burden, prevention and management of known risk factors should be promoted through national policies.

Few researchers have studied the national prevalence of Keshan disease (KD) in China using spatial epidemiological methods. This study aimed to provide geographically precise and visualized evidence for the strategies for KD prevention and control. We surveyed and analyzed 237,000 people in 280 out of 328 KD-endemic counties (85.4%) in mainland China using a design of key investigation based on case-searching in 2015–2016. ArcGIS version 9.0 was used for spatial autocorrelation analysis, spatial interpolation analysis and spatial regression analysis. Global autocorrelation analysis showed that global clustering of latent Keshan disease (LKD) prevalence was noted (Moran’s I = 0.22, Z = 7.06, and P < 0.0001), no global clustering of chronic Keshan disease (CKD) prevalence (Moran’s I = 0.03, Z = 1.10, and P = 0.27) was observed. Spatial regression analysis showed that LKD prevalence was negatively correlated with per capita disposable income (t = –4.36, P < 0.0001). Local autocorrelation analysis at the county level effectively identified the cluster areas of LKD prevalence in the provinces of Shaanxi, Gansu, Shanxi, Inner Mongolia, and Jilin. The high-high cluster areas should be given priority for precision prevention and control of Keshan disease. This spatial epidemiological study revealed that LKD prevention and control should be strengthened in areas with high values of clustering. Our findings provided spatially, geographically precise and visualized evidence for prioritizing KD prevention and control.

Background: This prospective cohort study aimed to investigate the relationship between sleep duration and cancer incidence among 9996 participants over a median follow-up period of 9 years. Methods: Participants without cancer at baseline were followed for over 88,790 person-years. The incidence of cancer and sleep duration was self-reported. The relationship between sleep duration and cancer incidence was analyzed using Cox proportional hazards models adjusted for various confounding factors, including age, gender, lifestyle factors, and comorbidities. Results: During the follow-up, 325 participants were diagnosed with incident cancer, resulting in an incidence rate of 20.49 per 1000 person-years. After adjusting for confounders, a total sleep duration of less than 6 h was significantly associated with an increased risk of cancer (HR: 1.27; 95% CI: 1.01–1.61). This association was particularly strong for cancers in the digestive and respiratory systems (HR: 1.41; 95% CI: 1.03–1.93). Longer sleep durations (> 9 h) showed a potential increase in cancer risk, but results were not consistently significant. Age-stratified analyses revealed a similar significant increase in cancer incidence among individuals aged 60 years or younger with less than 6 h of sleep per day, showing a 35% increase in overall cancer risk and an 83% increase in digestive and respiratory system cancer. No significant association was found between nocturnal sleep durations or daytime naps and cancer incidence. However, a significant interaction was observed between daytime naps longer than 30 min and cancer incidence in women (p = 0.041). Conclusions: We observed that short sleep duration may increase the risk of cancer, particularly cancers in the digestive and respiratory systems. Additionally, while longer sleep durations might also increase cancer risk, this finding requires validation with larger sample sizes.

Background: Cancer surveillance in Mainland China is based on household-registered residents (HRR) and therefore fails to cover migrant populations. This introduces selection bias and leads to a misestimation of the true cancer burden. Estimating lung cancer (LC) incidence and mortality among resident populations (RPs) provides a more accurate epidemiological and public health assessment. Methods: Using 2016 data from 487 cancer registries and multidimensional covariates, we developed a Bayesian-integrated nested Laplace approximation with stochastic partial differential equation (INLA-SPDE) model to estimate LC incidence and mortality among the RP, with adjustments for interprovincial migration. Results: In 2016, the interprovincial migrant population in Mainland China reached 140.96 million, representing 10.1% of the HRR. The results indicate that the INLA-SPDE model outperformed the Bayesian hierarchical linear model in estimation accuracy, effectively captured spatial heterogeneity and achieved a Bayesian credible interval coverage exceeding 94%. Significant disparities in LC incident cases and deaths between RPs and HRR were observed in Henan (9159 cases and 7539 deaths), Guangdong (8851 cases and 7235 deaths), and Shanghai (5406 cases and 4332 deaths). The largest rate differences occurred in Shanghai (incidence, 20.4/100 000, 23.7%; mortality, 8.7/100 000, 15.1%). Conclusion: Disparities in incidence and mortality vary with the direction and magnitude of interprovincial migration, indicating that household-registered residency-based registration overestimates LC burden in high-immigration regions and underestimates it in high-emigration regions. We recommend transitioning to RP-based registration to improve the accuracy of LC burden estimates of cancer surveillance, particularly in regions with substantial migrant populations.