Prevalence and Burden of Multiple Sclerosis in China, 1990-2019: Findings From the Global Burden of Disease Study 2019.

BACKGROUND AND OBJECTIVES: Multiple sclerosis (MS) is the leading cause of neurologic disability in young adults, but the burden caused by MS in China is lacking. We aimed to comprehensively describe the prevalence and health loss due to MS by demographic and geographical variables from 1990 to 2019 across China. METHODS: Data were obtained from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019). We used GBD methodology to systematically analyze the prevalence, disability-adjusted life-years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) due to MS by age, sex, and location from 1990 to 2019 in mainland China and its provinces. We also compared the MS burden in China with the world and other Group of 20 (G20) countries. RESULTS: In 2019, 42,571 (95% uncertainty interval [UI] 33,001-53,329) individuals in China had MS, which doubled from 1990. The age-standardized prevalence rate of MS was 2.32 per 100,000 (95% UI 1.78-2.91), which increased by 23.31% (95% UI 20.50-25.89) from 1990, with most of the growth occurring after 2010. There was a positive latitudinal gradient with the increasing prevalence from south to north across China. The total DALYs caused by MS were 71,439 (95% UI 58,360-92,254) in 2019, ranking China third among G20 countries. Most of the MS burden in China derived from premature mortality, with the higher fraction of YLLs than that at the global level and most other G20 countries. From 1990 to 2019, the age-standardized DALY and YLL rate had nonsignificant changes; however, the age-standardized YLD rate substantially increased by 23.33% (95% UI 20.50-25.89). The geographic distribution of MS burden varied at the provincial level in China, with a slight downward trend in the age-standardized DALY rates along with increasing Socio-Demographic Index over the study period. DISCUSSION: Although China has a low risk of MS, the substantial and increasing prevalent cases should not be underestimated. The high burden due to premature death and geographic disparity of MS burden reveals insufficient management of MS in China, highlighting the needs for increased awareness and effective intervention.

A national-scale assessment of land subsidence in China's major cities.

China's massive wave of urbanization may be threatened by land subsidence. Using a spaceborne synthetic aperture radar interferometry technique, we provided a systematic assessment of land subsidence in all of China's major cities from 2015 to 2022. Of the examined urban lands, 45% are subsiding faster than 3 millimeters per year, and 16% are subsiding faster than 10 millimeters per year, affecting 29 and 7% of the urban population, respectively. The subsidence appears to be associated with a range of factors such as groundwater withdrawal and the weight of buildings. By 2120, 22 to 26% of China's coastal lands will have a relative elevation lower than sea level, hosting 9 to 11% of the coastal population, because of the combined effect of city subsidence and sea-level rise. Our results underscore the necessity of enhancing protective measures to mitigate potential damages from subsidence.

Single Electron Transfer Reductive Deuteration of Acyl Chlorides for the Synthesis of Deuterated Alcohols with a High Deuterium Atom Economy.

We present a highly deuterium atom economical approach for the synthesis of deuterated alcohols via the single electron transfer (SET) reductive deuteration of acyl chlorides. Cost-effective sodium dispersion and EtOD-d1 were used as the single electron donor and deuterium donor, respectively. Our approach achieved up to 49% deuterium atom economy, which represents the highest deuterium atom economy yet achieved in SET reductive deuteration reactions. With all 20 tested substrates, excellent regioselectivity and >92% deuterium incorporations were obtained. Furthermore, we demonstrated the potential of this methodology by synthesizing four deuterated analogues of pesticides.

Characteristics and health risk assessment of indoor and outdoor PM2.5 in a rural village, in Northeast of China: impact of coal and biomass burning.

Fine particulate matter (PM2.5) has health effects that may depend on its sources and chemical composition. In this study, characteristics of PM2.5 chemical composition and health risk assessment from Songyuan, China, were investigated during day and night in indoor and outdoor from February 4 to 19, 2021. Relative high concentrations of PM2.5 were obtained in indoor environment than outdoor, with 503.95 ± 209.62 µg/m3 during the day and 357.52 ± 232.81 µg/m3 at night for the indoor environment. Relatively high total carbon, organic carbons, elemental carbons, polycyclic aromatic hydrocarbons (PAHs), and oxygenated polycyclic aromatic hydrocarbons (OPAHs) were obtained in indoor environment. However, the average concentrations of PAHs were higher during night (73.57 ± 43.09 ng/m3) in indoor and OPAHs during day (6.027 ± 2.960 ng/m3) in outdoor. They had different I/O distributions of these compounds during day and night. Indeno(1,2,3-cd) pyrene was the dominant PAHs, and benzanthrone was the dominant OPAHs; this is different with the previous studies. The high indoor/outdoor ratios showed the indoor coal and biomass burning greatly affect the indoor pollutants. Average ILCR health risk assessment for PAHs was all higher than 10-6 for different age gender, suggesting there has potential cancer risk existed for populations living in the rural coal and biomass burning area Songyuan, China.

Automatic block-wise genotype-phenotype association detection based on hidden Markov model.

BACKGROUND: For detecting genotype-phenotype association from case-control single nucleotide polymorphism (SNP) data, one class of methods relies on testing each genomic variant site individually. However, this approach ignores the tendency for associated variant sites to be spatially clustered instead of uniformly distributed along the genome. Therefore, a more recent class of methods looks for blocks of influential variant sites. Unfortunately, existing such methods either assume prior knowledge of the blocks, or rely on ad hoc moving windows. A principled method is needed to automatically detect genomic variant blocks which are associated with the phenotype. RESULTS: In this paper, we introduce an automatic block-wise Genome-Wide Association Study (GWAS) method based on Hidden Markov model. Using case-control SNP data as input, our method detects the number of blocks associated with the phenotype and the locations of the blocks. Correspondingly, the minor allele of each variate site will be classified as having negative influence, no influence or positive influence on the phenotype. We evaluated our method using both datasets simulated from our model and datasets from a block model different from ours, and compared the performance with other methods. These included both simple methods based on the Fisher's exact test, applied site-by-site, as well as more complex methods built into the recent Zoom-Focus Algorithm. Across all simulations, our method consistently outperformed the comparisons. CONCLUSIONS: With its demonstrated better performance, we expect our algorithm for detecting influential variant sites may help find more accurate signals across a wide range of case-control GWAS.

Burden of multiple myeloma in China: an analysis of the Global Burden of Disease, Injuries, and Risk Factors Study 2019.

BACKGROUND: There is limited data to comprehensively evaluate the epidemiological characteristics of multiple myeloma (MM) in China; therefore, this study determined the characteristics of the disease burden of MM at national and provincial levels in China. METHODS: The burden of MM, including incidence, mortality, prevalence, and disability-adjusted life years (DALYs), with a 95% uncertainty interval (UI), was determined in China following the general analytical strategy used in the Global Burden of Disease, Injuries, and Risk Factors Study 2019. The trends in the burden of MM from 1990 to 2019 were also evaluated. RESULTS: There were an estimated 347.45 thousand DALYs with an age-standardized DALY rate of 17.05 (95% UI, 12.31-20.77) per 100,000 in 2019. The estimated number of incident case and deaths of MM were 18,793 and 13,421, with age-standardized incidence and mortality rates of 0.93 (95% UI, 0.67-1.15) and 0.67 (95% UI, 0.50-0.82) per 100,000, respectively. The age-specific DALY rates per 100,000 increased to more than 10.00 in the 40 to 44 years age group reaching a peak (93.82) in the 70 to 74 years age group. Males had a higher burden than females, with approximately 1.5- to 2.0-fold sex difference in age-specific DALY rates in all age groups. From 1990 to 2019, the DALYs of MM increased 134%, from 148,479 in 1990 to 347,453 in 2019. CONCLUSION: The burden of MM has doubled over the last three decades, which highlights the need to establish effective disease prevention and control strategies at both the national and provincial levels.

Breast Cancer Growth on Serial MRI: Volume Doubling Time Based on 3-Dimensional Tumor Volume Assessment.

BACKGROUND: The volume doubling time (VDT) of breast cancer was most frequently calculated using the two-dimensional (2D) diameter, which is not reliable for irregular tumors. It was rarely investigated using three-dimensional (3D) imaging with tumor volume on serial magnetic resonance imaging (MRI). PURPOSE: To investigate the VDT of breast cancer using 3D tumor volume assessment on serial breast MRIs. STUDY TYPE: Retrospective. SUBJECTS: Sixty women (age at diagnosis: 57 ± 10 years) with breast cancer, assessed by two or more breast MRI examinations. The median interval time was 791 days (range: 70-3654 days). FIELD STRENGTH/SEQUENCE: 3-T, fast spin-echo T2-weighted imaging (T2WI), single-shot echo-planar diffusion-weighted imaging (DWI), and gradient echo dynamic contrast-enhanced imaging. ASSESSMENT: Three radiologists independently reviewed the morphological, DWI, and T2WI features of lesions. The whole tumor was segmented to measure the volume on contrast-enhanced images. The exponential growth model was fitted in the 11 patients with at least three MRI examinations. The VDT of breast cancer was calculated using the modified Schwartz equation. STATISTICAL TESTS: Mann-Whitney U test, Kruskal-Wallis test, Chi-squared test, intraclass correlation coefficients, and Fleiss kappa coefficients. A P-value <0.05 was considered statistically significant. The exponential growth model was evaluated using the adjusted R2 and root mean square error (RMSE). RESULTS: The median tumor diameter was 9.7 mm and 15.2 mm on the initial and final MRI, respectively. The median adjusted R2 and RMSE of the 11 exponential models were 0.97 and 15.8, respectively. The median VDT was 540 days (range: 68-2424 days). For invasive ductal carcinoma (N = 33), the median VDT of the non-luminal type was shorter than that of the luminal type (178 days vs. 478 days). On initial MRI, breast cancer manifesting as a focus or mass lesion showed a shorter VDT than that of a non-mass enhancement (NME) lesion (median VDT: 426 days vs. 665 days). DATA CONCLUSION: A shorter VDT was observed in breast cancer manifesting as focus or mass as compared to an NME lesion. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.

Using "Age and Total-PSA" as the Main Indicators: The Results of Taizhou Integrated Prostate Screening (No 2).

The aim of the study was to analyze population-based prostate cancer (PCa) screening and the incidence of PCa among males ≥50 years of age residing in the Luqiao district of Taizhou, China. From October to December 2020, male residents ≥50 years of age were screened for serum total prostate-specific antigen (total-PSA). If t-PSA re-test levels persisted above 4 µg/L, subjects underwent further noninvasive examinations, including digital rectal examination or multiparameter magnetic resonance imaging (mpMRI) of the prostate. Subjects underwent prostate biopsy of pathological tissue based on t-PSA and mpMRI results. A total of 3524 (49.1%) residents participated in this PCa screening study. In total, 285 (8.1%) subjects exhibited t-PSA levels ≥4.0 µg/L and 112 (3.2%) underwent noninvasive examinations. Forty-two (1.2%) residents underwent prostate biopsy, of which 16 (0.45%) were diagnosed with PCa. Of those diagnosed with PCa, three (19%) had localized PCa (cT1-cT2N0M0), six (37%) had locally advanced PCa (cT3a- cT4N0-1M0), and seven (44%) had advanced metastatic PCa (M1). Unfortunately, 3477 (48.5%) residents did not participate in the study, mainly due to lack of awareness of PCa based on feedback from local health centers. Age and t-PSA were used as primary screening indicators and, when further combined with mpMRI and prostate biopsy, confirmed the diagnosis of PCa among participating residents. Although this was a relatively economical and convenient screening method, education and knowledge should be further enhanced to increase the participation rate in PCa screening programs.

Burden of epilepsy in China and its provinces, 1990 to 2019: findings from the Global Burden of Disease Study 2019.

BACKGROUND: Epilepsy accounts for a significant portion of the global disease burden. However, little is known about the disease burden of epilepsy in China and its provinces. METHODS: We assessed the burden of epilepsy in China and its provinces, municipalities, and autonomous regions from 1990 to 2019. Burden was measured as incidence, prevalence, deaths, years lived with disability, years of life lost, and disability-adjusted life years (DALYs), by age, sex, year, and province. We used the Socio-Demographic Index (SDI) to determine the association between the provincial development level and age-standardized DALY rates of epilepsy from 1990 to 2019. RESULTS: In 2019, epilepsy caused 1367.51 thousand (95% uncertainty interval [UI]: 979.92-1837.61 thousand) DALYs, and the age-standardized DALY rate was 99.77 (95% UI: 71.33-133.52)/100,000. The age-standardized incidence and prevalence rates for epilepsy in China were 24.65/100,000 and 219.69/100,000, increased by 45.00% (95% UI: 8.03-98.74%) and 35.72% (95% UI: 0.47-86.19%) compared with that in 1990, respectively. From 1990 to 2019, the proportion of DALY caused by epilepsy in the age group under 25 years steadily decreased. The proportion of DALYs caused by epilepsy in people aged 50 years and over increased from 9.45% and 10.22% in 1990 to 29.01% and 32.72% for male and female individuals in 2019, respectively. The highest age-standardized mortality rates were seen in Tibet (4.26 [95% UI: 1.43-5.66]/100,000), Qinghai (1.80 [95% UI: 1.15-2.36]/100,000), and Yunnan (1.30 [95% UI: 0.88-1.62]/100,000), and the lowest mortality rates were in Guangdong (0.48 [95% UI: 0.39-0.64]/100,000), Zhejiang (0.56 [95% UI: 0.44-0.70]/100,000), and Shanghai (0.57 [95% UI: 0.41-0.73]/100,000). The age-standardized DALY rates across the country and in provinces, municipalities, and autonomous regions generally decreased as their SDI increased. CONCLUSIONS: The disease burden of epilepsy is still heavy in China, especially in the western provinces. The incidence and prevalence of epilepsy increased between 1990 and 2019, and the burden of epilepsy in the elderly increases gradually. This study provides evidence on epilepsy prevention and care of different regions in China.

Burden of liver complications related to non-alcoholic fatty liver disease in China from 2005 to 2019: Observations from the Global Burden of Disease Study, 2019.

AIM: To assess the burden of liver complications related to non-alcoholic fatty liver disease (LC-NAFLD) from 2005 to 2019 in China. MATERIALS AND METHODS: We used data from the Global Burden of Disease, Injuries, and Risk Factors Study, 2019, to present contemporary and varying profiles of China's LC-NAFLD burden. The Joinpoint Regression model and Gaussian process regression were, respectively, used to estimate the annual percentage change in prevalence rates and disability-adjusted life-year (DALY) rates, and the relationship between the sociodemographic index (SDI) and age-standardized rates of LC-NAFLD. RESULTS: In 2019, China had 293.42 million (95% uncertainty interval [UI]: 263.69-328.44) LC-NAFLD cases with a prevalence rate and DALYs of 20.63 (95% UI: 23.09-18.54) per 1000 people and 591.03 thousand (95% UI: 451.25-737.33), respectively. North China had the highest prevalence but the lowest DALYs of LC-NAFLD, whereas Southwest China had the lowest prevalence but the highest DALYs. LC-NAFLD were more common in men than in women (male: female ratio, 1.27) in 2019. From 2005 to 2019, the prevalence of NAFLD cases increased by 68.32% (from 174.32 million in 2005 to 293.42 million in 2019), mainly because of an age-specific prevalence rate increase. CONCLUSION: The LC-NAFLD burden in China is substantial and has increased markedly over the past 15 years. Effective measures for low SDI regions and men are needed to address the rapidly increasing NAFLD burden.

Clinical features and pathogenicity assessment in patients with HTRA1-autosomal dominant disease.

BACKGROUND: Heterozygous mutations in HTRA1 were recently found to cause autosomal dominant cerebral small vessel disease (CSVD), and it was named HTRA1-autosomal dominant disease (AD-HTRA1) in the consensus recommendations of the European Academy of Neurology. This study aimed to investigate the clinical features of a mutation in HTRA1 and the effect of HTRA1 mutation on white matter hyperintensity (WMH). METHODS: A proband's brain magnetic resonance imaging (MRI) showed multiple lacunar infarctions and multiple WMH in the lateral ventricle, external capsule, frontal lobe and corpus callosum. The proband and family members were tested for CSVD-related genes by next-generation sequencing and the clinical data of the patients were collected. The published literature on AD-HTRA1 was collected, and the clinical characteristics and pathogenicity of the patients were summarized. Combined Annotation Dependent Depletion (CADD) is a tool for scoring the deleteriousness of single-nucleotide variants and insertion/deletion variants in the human genome. The relationship between the degree of WMH and the pathogenicity of the mutation was further analyzed. RESULT: It was found that the proband and her family members had a heterozygous missense mutation of c.854C > T (p.P285L) in the 4 exon of HTRA1 gene. A retrospective analysis of 5 families with c.854C > T mutation found that the patients had an early age of onset, cognitive impairment was more common, and alopecia and spondylosis could be combined at the same time. By univariate analysis, the severity of WMH was found to be significantly associated with the mutated CADD score (p < 0.05, Spearman's rho = 0.266). CONCLUSION: The clinical manifestations of AD-HTRA1 with mutation site c.854C > T (p.P285L) are similar to CARASIL, and brain MRI are mainly moderate or severe WMH and lacunar infarction (LI). WMH are affected by mutation sites. Therefore, our pathogenicity score for mutations can predict the severity of WMH.

Internet of things-enabled real-time health monitoring system using deep learning.

Smart healthcare monitoring systems are proliferating due to the Internet of Things (IoT)-enabled portable medical devices. The IoT and deep learning in the healthcare sector prevent diseases by evolving healthcare from face-to-face consultation to telemedicine. To protect athletes' life from life-threatening severe conditions and injuries in training and competitions, real-time monitoring of physiological indicators is critical. In this research work, we present a deep learning-based IoT-enabled real-time health monitoring system. The proposed system uses wearable medical devices to measure vital signs and apply various deep learning algorithms to extract valuable information. For this purpose, we have taken Sanda athletes as our case study. The deep learning algorithms help physicians properly analyze these athletes' conditions and offer the proper medications to them, even if the doctors are away. The performance of the proposed system is extensively evaluated using a cross-validation test by considering various statistical-based performance measurement metrics. The proposed system is considered an effective tool that diagnoses dreadful diseases among the athletes, such as brain tumors, heart disease, cancer, etc. The performance results of the proposed system are evaluated in terms of precision, recall, AUC, and F1, respectively.

The Effect of Psychological Support Intervention Based on Structure-Process-Result Three-Dimensional Quality Assessment on Maternal Role Adaptation and Pelvic Floor Rehabilitation Exercise Compliance of Women in Spontaneous Labor.

Objective: A case-control study was conducted to explore the effect of psychological support intervention based on structure-process-result three-dimensional quality assessment on maternal role adaptation and pelvic floor rehabilitation exercise compliance. Methods: 110 parturients who delivered naturally in our hospital from January 2019 to October 2021 were randomly divided into the control group and the study group. Patients in the former group received routine nursing measures, while patients in the latter group received psychological support intervention based on structure-process-outcome three-dimensional quality assessment (intervention group). Psychological intervention measures include health education, cognitive therapy, behavioral therapy, collective psychological intervention, and happiness therapy. The Edinburgh postpartum depression (PPD) scale and general self-efficacy scale were adopted before intervention, on the day of discharge, and 42 days after delivery. Meanwhile, the mother's role adaptation questionnaire was adopted 42 days after delivery. The PPD, the change of self-efficacy, the function of the pelvic floor, the role adaptation of mothers, and the compliance of pelvic floor rehabilitation exercise in the control group and the intervention group were analyzed. Results: There was a significant difference in the EPDS score between the two groups at 42 days after delivery. There was a significant difference in the incidence of depression 42 days after delivery between the two groups (P < 0.05). The score of pelvic floor function in the two groups after intervention was higher than that before intervention, and that in the intervention group was higher than that in the control group (P < 0.05). The score of self-efficacy in the two groups after intervention was higher than that before intervention, and that in the intervention group was higher than that in the control group (P < 0.05). The role adaptation of mothers in the intervention group was better than that in the control group (P < 0.05). The compliance rate of pelvic floor rehabilitation exercise in the intervention group was higher than that in the control group (P < 0.05). Conclusion: Psychological support intervention based on structure-process-result three-dimensional quality assessment can effectively enhance the sense of self-efficacy, pelvic floor function, maternal role adaptation, and pelvic floor rehabilitation exercise compliance of parturients and can effectively reduce the incidence of PPD and play a positive role in the prevention of PPD.

The burden of pneumoconiosis in China: an analysis from the Global Burden of Disease Study 2019.

BACKGROUND: Pneumoconiosis refers to a class of serious diseases threatening the health of workers exposed to coal or silicosis dust. However, the burden of pneumoconiosis is unavailable in China. METHODS: Incident cases, deaths, and disability-adjusted life years (DALYs) from pneumoconiosis and its subtypes in China were estimated from the Global Burden of Disease Study 2019 using a Bayesian meta-regression method. The trend of the burden from pneumoconiosis was analyzed using percentage change and annualized rate of change (ARC) during the period 1990-2019. The relationship between subnational socio-demographic index (SDI) and the ARC of age-standardised death rate was measured using Spearman's Rank-Order Correlation. RESULTS: In 2019, there were 136.8 (95% uncertainty interval [UI] 113.7-162.5) thousand new cases, 10.2 (8.1-13.6) thousand deaths, and 608.7 (473.6-779.4) thousand DALYs from pneumoconiosis in China. Of the global burdens from pneumoconiosis, more than 60% were in China. Both the total number of new cases and DALYs from pneumoconiosis was keeping increasing from 1990 to 2019. In contrast, the age-standardised incidence, death, and DALY rates from pneumoconiosis and its subtypes, except for the age-standardised incidence rate of silicosis, and age-standardised death rate of asbestosis, experienced a significant decline during the same period. The subnational age-standardised death rates were higher in western China than in eastern China. Meanwhile, the subnational ARC of age-standardised death rates due to pneumoconiosis and its subtypes were significantly negatively correlated with SDI in 2019. CONCLUSION: China suffers the largest health loss from pneumoconiosis in the world. Reducing the burden of pneumoconiosis is still an urgent task in China.

The Burden of COPD in China and Its Provinces: Findings From the Global Burden of Disease Study 2019.

In China, chronic obstructive pulmonary disease (COPD) was accounted for a quarter of the global COPD population and has become a large economic burden. However, the comprehensive picture of the COPD burden, which could inform health policy, is not readily available for all of the provinces of China. Here, we aimed to describe the burden of COPD in China, providing an up-to-date and comprehensive analysis at the national and provincial levels, and time trends from 1990 to 2019. Following the methodology framework and general analytical strategies used in the GBD 2019, we analyzed the incidence, prevalence, mortality, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years with life lost (YLLs) attributable to COPD across China and the corresponding time trends from 1990 to 2019, stratified by age and province. In order to quantify the secular trends of the burden of COPD, the estimated annual percentage changes were calculated by the linear regression model of age-standardized rates (ASRs) and calendar years. We also presented the contribution of risk factors to COPD-related mortality and DALYs. The association between COPD burden and socio-demographic index (SDI) were also evaluated. From 1990 to 2019, the incidence and prevalence numbers of COPD increased by 61.2 and 67.8%, respectively, whereas the number of deaths and DALYs owing to COPD decreased. The ASRs of COPD burden, including incidence, prevalence, mortality, DALYs, YLDs, and YLLs continuously decreased from 1990 to 2019. The crude rates of COPD burden dramatically increased with age and reached a peak in the older than 95 years age group. In 2019, the leading risk factor for COPD mortality and DALYs was tobacco use in the whole population, but ambient particulate matter pollution was the most significant risk factor in females. At the provincial level, the ASRs of COPD burden was significantly associated with the SDIs, with the highest ASRs in the western provinces with low SDIs. Collectively, our study indicated that COPD remains an important public health problem in China. Geographically targeted considerations should be developed to enhance COPD health and reduce the COPD burden throughout China and in specific provinces.

Spatial variations and social determinants of life expectancy in China, 2005-2020: A population-based spatial panel modelling study.

Background: Social determinants of health (SDOH) produce a broad range of life expectancy (LE) disparities. In China, limited literatures were found to report association between SDOH and LE at ecological level during a consecutive period of time from the spatial perspectives. This study aimed to determine the existence, quantify the magnitude, and interpret the association between SDOH and LE in China. Methods: Provincial-level LE were estimated from mortality records during 2005-2020 from National Mortality Surveillance System in China. A spatial panel Durbin model was used to investigate LE associated SDOH proxies. Spatial spillover effects were introduced to interpret direct and indirect effects caused by SDOH during long-term and short-term period on LE disparities. Findings: Nationwide, LE increased from 73.1 (95% confidence interval (CI): 71.3, 74.4) years to 77.7 (95%CI: 76.5, 78.7) years from 2005 to 2020. Unequally spatial distribution of LE with High-High clustering in coastal areas and Low-Low clustering in western regions were observed. Locally, it was estimated that SDOH proxies statistically significant related to an increase of LE, including GDP (coefficient: 0.02, 95%CI: 0.00, 0.03), Gini index (coefficient: 2.35, 95%CI: 1.82, 2.88), number of beds in health care institutions (coefficient: 0.02, 95%CI: 0.00, 0.05) and natural growth rate of resident population (coefficient: 0.02, 95%CI: 0.01, 0.02). Direct and indirect effects decomposition during long-term and short-term of LE associated SDOH proxies demonstrated that GDP, urbanization rate, unemployment rate, education attainment, Gini index, number of beds in health care institutions, sex ratio, gross dependence ratio and natural growth rate of resident population not only affected local LE, but also exerted spatial spillover effects towards geographical neighbors. Interpretation: Spatial variations of LE existed at provincial-level in China. SDOH regarding socioeconomic development and equity, healthcare resources, as well as population characteristics not only affected LE disparities at local scale but also among nearby provinces. Externalities of policy of those SDOH proxies should be took into consideration to promote health equity nationally. Comprehensive approaches on the basis of population strategy should be consolidated to optimize supportive socioeconomic environment and narrow the regional gap to reduce health disparities and increase LE. Funding: National Key Research & Development Program of China (Grant No.2018YFC1315301); Ministry of Education of China Humanities and Social Science General Program (Grant No.18YJC790138).

Burden of lymphoma in China, 1990-2019: an analysis of the global burden of diseases, injuries, and risk factors study 2019.

BACKGROUND: China is facing an aggravating disease burden of lymphoma. However, accurate information about lymphoma burden at the national and provincial levels is limited. RESULTS: The estimated number of disability-adjusted life years were 86,171.85 for Hodgkin lymphoma and 1,306,247.77 for non-Hodgkin lymphoma with the age-standardized rates of 4.95 and 71.00, respectively, per 100,000 population. There were estimated 9,468 new cases and 2,709 Hodgkin lymphoma-related deaths, and 91,954 new cases and 44,310 non-Hodgkin lymphoma-related deaths. Older individuals had a higher lymphoma burden. The age-standardized disability-adjusted life year rate in men was approximately two-folds higher than that in women. Moreover, disparities in lymphoma burden were observed across the provinces. Between 1990 and 2019, the disability-adjusted life year number decreased by 57.8% for Hodgkin lymphoma, and increased by 100.9% for non-Hodgkin lymphoma. CONCLUSION: Burden of lymphoma showed heterogeneous change patterns varied according to sex, age, and provinces, with a steady decrease in Hodgkin lymphoma and a significant increase in non-Hodgkin lymphoma during the past three decades. METHODS: Following the analytical strategy used in the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, age-, sex-, and province-specific incidence, mortality, and prevalence of Hodgkin lymphoma and non-Hodgkin lymphoma were analyzed. Lymphoma burden was assessed by incidence, mortality, prevalence, and disability-adjusted life year.

The burden of aortic aneurysm in China from 1990 to 2019: findings from the Global Burden of Disease Study 2019.

BACKGROUND: Aortic aneurysm (AA) is a global public health concern. However, little is known about the disease burden of AA in China. METHODS: Following the general analytic strategy used in the Global Burden of Disease Study (GBD) 2019, we analyzed the mortality and years of life lost (YLLs) due to AA, stratified by sex, age, and province-level region in China from 1990 to 2019. The temporal trend of AA burden in China was analyzed and the main attributable risk factors for AA in China were also explored. RESULTS: In China, the total AA deaths were 17,038 (95% UI: 14,392-19,980) in 2019, an increase of 136.1% compared with that in 1990, with an age-standardized death rate (ASDR) of 0.93 (95% UI: 0.79-1.08) per 100,000 person-years in 2019, a decrease of 6.8%. Meanwhile AA caused 378,578 (95% UI: 315,980-450,479) YLLs in 2019, an increase of 102.6% compared with that in 1990, with a crude YLL rate of 26.6 (95% UI: 22.2-31.7) per 100,000 person-years, an increase of 68.6%. The AA mortality and YLLs were higher in males than in females. AA caused most YLLs in the 65- to 75-year-old age group. The AA mortality and YLLs varied significantly among provinces in China, and the change in ASDR showed a negative correlation with the sociodemographic index of different provinces, namely, more decline of ASDR in developed provinces. High systolic blood pressure was shown to be the most significant attributable risk factor for AA burden in both males and females, and smoking was another major attributable risk factor, especially in males. CONCLUSIONS: The disease burden of AA increased significantly from 1990 to 2019 in China, with higher mortality and YLLs in males, senior populations, and among residents of most western provinces in China. High systolic blood pressure and smoking were two major attributable risk factors for AA mortality in China.

Role of FDI and energy intensity in mitigating the environmental pollution in the Chinese steel industry: does technological innovation makes a difference?

To accomplish China's sustainable growth, it is critical to identify the primary factors affecting environmental quality in the steel industry. In this positioning, foreign direct investment (FDI), energy intensity, and technological innovation have emerged as strong pillars of the steel industry. However, there are growing concerns of carbon emission from this industry which is still debatable. In this context, this study measures the effect of FDI, energy intensity, and technology innovation on environmental quality in the steel industry from 28 provinces of China. The study uses the provincial data for China over the period 2000-2018. In addition to examining unit root properties and cointegration, this study employed Augmented Mean Group regression for estimating long-run relationships among study variables. The findings reveal the negative effect of FDI and technology innovation on environmental quality. These findings indicate that FDI and technology innovation have shaped the energy intensity in the steel industry. The positive coefficient value of energy intensity shows that innovations for environmental conservation and energy usage are minimal and did not perform an integral part in lowering carbon emissions. These findings are important in formulating successful emission reduction policies after controlling the effects of urbanization and economic growth for the Chinese steel sector.

Temporal trend and attributable risk factors of stroke burden in China, 1990-2019: an analysis for the Global Burden of Disease Study 2019.

BACKGROUND: Understanding the temporal trend of the disease burden of stroke and its attributable risk factors in China, especially at provincial levels, is important for effective prevention strategies and improvement. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) is to investigate the disease burden of stroke and its risk factors at national and provincial levels in China from 1990 to 2019. METHODS: Following the methodology in the GBD 2019, the incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) of stroke cases in the Chinese population were estimated by sex, age, year, stroke subtypes (ischaemic stroke, intracerebral haemorrhage, and subarachnoid haemorrhage), and across 33 provincial administrative units in China from 1990 to 2019. Attributable mortality and DALYs of underlying risk factors were calculated by a comparative risk assessment. FINDINGS: In 2019, there were 3·94 million (95% uncertainty interval 3·43-4·58) new stroke cases in China. The incidence rate of stroke increased by 86·0% (73·2-99·0) from 1990, reaching 276·7 (241·3-322·0) per 100 000 population in 2019. The age-standardised incidence rate declined by 9·3% (3·3-15·5) from 1990 to 2019. Among 28·76 million (25·60-32·21) prevalent cases of stroke in 2019, 24·18 million (20·80-27·87) were ischaemic stroke, 4·36 million (3·69-5·05) were intracerebral haemorrhage, and 1·58 million (1·32-1·91) were subarachnoid haemorrhage. The prevalence rate increased by 106·0% (93·7-118·8) and age-standardised prevalence rate increased by 13·2% (7·7-19·1) from 1990 to 2019. In 2019, there were 2·19 million (1·89-2·51) deaths and 45·9 million (39·8-52·3) DALYs due to stroke. The mortality rate increased by 32·3% (8·6-59·0) from 1990 to 2019. Over the same period, the age-standardised mortality rate decreased by 39·8% (28·6-50·7) and the DALY rate decreased by 41·6% (30·7-50·9). High systolic blood pressure, ambient particulate matter pollution exposure, smoking, and diet high in sodium were four major risk factors for stroke burden in 2019. Moreover, we found marked differences of stroke burden and attributable risk factors across provinces in China from 1990 to 2019. INTERPRETATION: The disease burden of stroke is still severe in China, although the age-standardised incidence and mortality rates have decreased since 1990. The stroke burden in China might be reduced through blood pressure management, lifestyle interventions, and air pollution control. Moreover, because substantial heterogeneity of stroke burden existed in different provinces, improved health care is needed in provinces with heavy stroke burden. FUNDING: National Key Research and Development Program of China and Taikang Yicai Public Health and Epidemic Control Fund.