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Liu H, Wang X, Wang L, Yin P, Liu F, Wei L, Wang Y, Zhou M, Qi J, Rao H. Mortality Burden of Liver Cancer in China: An Observational Study From 2008 to 2020. J Clin Transl Hepatol 2024; 12:371-380. [PMID: 38638380 PMCID: PMC11022066 DOI: 10.14218/jcth.2023.00455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 02/19/2024] [Accepted: 02/29/2024] [Indexed: 04/20/2024] Open
Abstract
Background and Aims China accounts for nearly half of liver cancer deaths globally. A better understanding of the current liver cancer mortality will be helpful to establishing priorities for intervention and to decreasing the disease burden of liver cancer. The study aimed to explore and predict the mortality burden of liver cancer in China. Methods Data were extracted from the Disease Surveillance Point system of the Chinese Center for Disease Control and Prevention from 2008 to 2020. Crude and age-standardized liver cancer mortality rates were reported by sex, urban or rural residence, and region. Trends in liver cancer mortality rates from 2008 to 2020 were estimated as average annual percentage change (AAPC). The changing trend of live cancer mortality in the future is also predicted. Results In 2020, the crude mortality of liver cancer was 25.57/100,000, and males and people lived in rural areas had higher age-standardized liver cancer mortality rates than females and people lived in people in urban areas. Crude mortality and age-standardized mortality rates in southwest provinces (Guangxi, Sichuan, Tibet) and in a northeast province (Heilongjiang) were higher than that in other provinces, and age-specific mortality rates increased with age. From 2008 to 2020, liver cancer mortality rates decreased, but people under 50 years of age had a higher AAPC than those over 50 years of age, possibly because of the adoption of hepatitis B virus vaccination in newborns and children. Furthermore, the mortality of liver cancer in 2021-2030 is predicted to have a downward trend. Conclusions Liver cancer mortality rates declined in China from 2008 to 2020. Future interventions to control liver cancer mortality need to focus on people of male sex, older age, and living in rural areas or less developed provinces.
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Affiliation(s)
- Huixin Liu
- Department of Clinical Epidemiology and Biostatistics, Peking University People's Hospital, Beijing, China
| | - Xiaoxiao Wang
- Peking University People’s Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Lijun Wang
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Liu
- Peking University People’s Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Lai Wei
- Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Yu Wang
- Chinese Foundation for Hepatitis Prevention and Control, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlei Qi
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huiying Rao
- Peking University People’s Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
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Li X, Zhang Y, He X, Zhang K, Qi J, Wang L, Wen M. Robust Low-Friction and Low-Wear TiNbMoTaCr High-Entropy Film Enabled by Periodically Inserting Curved MoS 2 Sheets. ACS Appl Mater Interfaces 2024; 16:16936-16949. [PMID: 38509730 DOI: 10.1021/acsami.3c18085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
The well-known integration of physical, chemical, and mechanical properties enables high-entropy alloys (HEAs) to be applied in various fields; however, refractory HEAs are brittle and susceptible to abrasive wear at high coefficients of friction (COF), resulting in insufficient mechanical durability against abrasion. Herein, curved MoS2 nanosheets are periodically introduced into the TiNbMoTaCr film for triggering the self-assembly mixed metal oxides @MoS2 nanoscrolls, which contain hard mixed metal oxides cores and the low-shearing lubricant MoS2 shells, during the friction in the air environment; such mixed metal oxides@MoS2 nanoscrolls in the friction interfaces can contribute to the robust low friction and low wear. Compared to the pure TiNbMoTaCr film (with high COF of ∼0.78, low abrasive durability identified by worn-out event), the periodic incorporation of 10 nm thickness curved MoS2 sheets can successfully achieve a low COF of ∼0.08 and low wear rate of ∼9.561 × 10-8 mm3/ Nm, much lower than the pure MoS2 film (COF = ∼ 0.21, wear rate = ∼ 1.03 × 10-6 mm3/ Nm). Such superior tribological properties originate from the cooperative interaction of TiNbMoTaCr nanolayers and curved MoS2 nanosheets, accompanied by the self-assembly of mixed metal oxides@MoS2 nanoscrolls. In these nanoscrolls, TiNbMoTaCr can act as an 'air-absorbing agent' to form high-loading mixed metal oxide cores and serve as an 'oxygen sacrificer,' preventing the low-shearing lubricant curved MoS2 nanosheets from oxidation. In addition, even with the soft MoS2, the hardness of the TiNbMoTaCr/MoS2 nanomultilayers can still be well maintained and increased above the calculated values by mixing law, further favoring superior mechanical durability. The synergetic effect of TiNbMoTaCr and curved MoS2 nanosheets during the friction in air can provide a route to design HEA films with enhanced tribological properties for better mechanical durability and broader application prospects.
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Affiliation(s)
- Xinru Li
- State Key Laboratory of Superhard Materials, School of Materials Science and Engineering and Key Laboratory of Automobile Materials, MOE, Jilin University, Changchun 130012, PR China
| | - Yu Zhang
- State Key Laboratory of Superhard Materials, School of Materials Science and Engineering and Key Laboratory of Automobile Materials, MOE, Jilin University, Changchun 130012, PR China
| | - Xingjia He
- State Key Laboratory of Superhard Materials, School of Materials Science and Engineering and Key Laboratory of Automobile Materials, MOE, Jilin University, Changchun 130012, PR China
| | - Kan Zhang
- State Key Laboratory of Superhard Materials, School of Materials Science and Engineering and Key Laboratory of Automobile Materials, MOE, Jilin University, Changchun 130012, PR China
| | - Jinlei Qi
- State Key Laboratory of Superhard Materials, School of Materials Science and Engineering and Key Laboratory of Automobile Materials, MOE, Jilin University, Changchun 130012, PR China
| | - Longpeng Wang
- State Key Laboratory of Superhard Materials, School of Materials Science and Engineering and Key Laboratory of Automobile Materials, MOE, Jilin University, Changchun 130012, PR China
| | - Mao Wen
- State Key Laboratory of Superhard Materials, School of Materials Science and Engineering and Key Laboratory of Automobile Materials, MOE, Jilin University, Changchun 130012, PR China
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Wang X, Liu H, Qi J, Wang L, Yin P, Liu F, Wei L, Wang Y, Zhou M, Rao H. Trends in Mortality of Cirrhosis in China: An Analysis of the China Death Surveillance Database from 2008 to 2020. J Clin Transl Hepatol 2024; 12:236-244. [PMID: 38426195 PMCID: PMC10899872 DOI: 10.14218/jcth.2023.00454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/19/2023] [Accepted: 01/03/2024] [Indexed: 03/02/2024] Open
Abstract
Background and Aims China accounts for 14.9% of total cirrhosis deaths worldwide. A detailed and comprehensive understanding of the contemporary status of cirrhosis mortality in China is crucial for establishing strategies for intervention and decreasing the disease burden of cirrhosis worldwide. The study aimed to report the cirrhosis mortality rates in our whole country or province over time. Methods Mortality data from 2008 to 2020 were retrieved from the Disease Surveillance Point System (DSPs) of the Chinese Center for Disease Control and Prevention. The crude mortality rate and age-standardized mortality rate of patients with cirrhosis were stratified by sex, residential location, and region. The average annual percentage change (AAPC) in cirrhosis mortality rates from 2008 to 2020 was also calculated. Results The crude mortality rate of cirrhosis was 4.57/100,000 people in 2020. Compared with females and individuals living in urban areas, males and people living in rural areas had greater age-standardized mortality. The crude mortality rate and age-standardized mortality rate in provinces in Southwest China (Guangxi, Yunnan, Guizhou, and Qinghai) were greater than those in other provinces. Moreover, with increasing age, the age-specific mortality rate increased significantly. From 2008 to 2020, the mortality rate of cirrhosis in China decreased except for in males aged 50-59 years, females aged 45-49 years and females aged 80-84 years. Conclusions The mortality rate of patients with cirrhosis in China decreased from 2008 to 2020. In the future, interventions of cirrhosis mortality control need to pay more attention to all males, females aged 45-49 and 80-84 years, and people living in rural areas and in provinces in Southwest China.
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Affiliation(s)
- Xiaoxiao Wang
- Peking University People’s Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Huixin Liu
- Department of Clinical Epidemiology and Biostatistics, Peking University People’s Hospital, Beijing, China
| | - Jinlei Qi
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Liu
- Peking University People’s Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Lai Wei
- Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Yu Wang
- Chinese Foundation for Hepatitis Prevention and Control, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Huiying Rao
- Peking University People’s Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
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Qi J, Wang TJ, Wang MN, Shang LX, Chen L, Wang XF, Li YH, Xu H, Ma CF. [Risk prediction and function evaluation by T-cell epitope model and expression model of HLA-DPB1 mismatching in unrelated-donor hematopoietic stem cell transplantations]. Zhonghua Yi Xue Za Zhi 2024; 104:850-856. [PMID: 38462361 DOI: 10.3760/cma.j.cn112137-20231203-01275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Objective: To evaluate the risk prediction and assessment function of HLA-DPB1 T-cell epitope (TCE) model and expression model in human leukocyte antigen (HLA)-matched unrelated hematopoietic stem cell transplantation (MUD-HSCT) with HLA-DPB1 mismatching. Methods: A total of 364 (182 pairs) potential MUD-HSCT donors and recipients confirmed by HLA high-resolution typing in Shaanxi Blood Center from 2016 to 2019 were analyzed retrospectively. Of the 182 recipients, there were 121 males and 61 females with an average age of (26.3±14.2) years. Of the 182 donors, there were 148 males and 34 females with an average age of (33.7±7.5) years. Polymerase chain reaction-sequence-based typing (PCR-SBT), next-generation sequencing (NGS) and polymerase chain reaction-sequence specific oligonucleotide probe (PCR-SSO) based on LABScan®3D platform were used for high-resolution typing of HLA-A, B, C, DRB1, DQB1, DPB1 gene, and PCR-SBT was used for single nucleotide polymorphism (SNP) typing. TCE model and expression model were used to predict and evaluate the HLA-DPB1 mismatch pattern and acute graft-versus-host-disease (aGVHD) risk. Results: A total of 26 HLA-DPB1 alleles and their 3'-UTR rs9277534 SNP genotypes were detected in this study population, and two new alleles HLA-DPB1*1052∶01 and HLA-DPB1*1119∶01 were found and officially named. The overall mismatch rate of HLA-DPB1 in MUD-HSCT donors and recipients was 90.66% (165/182). In TCE model, the HLA-DPB1 mismatch rates of permissible mismatch (PM) and non-permissible mismatch (non-PM) were 47.80% (87/182) and 42.86% (78/182), respectively. The non-PM in GvH direction was 13.73% (25/182), and which in HvG direction was 29.12% (53/182). A total of 73 pairs of donors and recipients in TCE model met the evaluation criteria of expression model. Among of TCE PM group, recipient DP5 mismatches accounted for 34.25% (25/73) were predicted as aGVHD high risk according to expression model. For the TCE non-PM group, both the recipient DP2 mismatches of 6.85% (5/73) and recipient DP5 mismatches of 10.86% (8/73) were predicted to be at high risk for aGVHD. Risk prediction by TCE model and expression model was 27.27% concordant and 16.97% unconcordant. Conclusions: TCE model and expression model are effective tools to predict aGVHD risk of MUD-HSCT. Comprehensive application of the two models is helpful to the hierarchical assessment of HSCT risk.
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Affiliation(s)
- J Qi
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - T J Wang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - M N Wang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - L X Shang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - L Chen
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - X F Wang
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - Y H Li
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - H Xu
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
| | - C F Ma
- Blood Center of Shaanxi Province, Institute of Xi'an Blood Bank, Xi'an 710061, China
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Xu S, Qi J, Liu C, Xia W, Wang Z, Li K, Zhou M, Liu H. Evaluation of three decades of the burden of low back pain in China before COVID-19: Estimates from the Global Burden of Disease Database 2019. J Glob Health 2024; 14:04006. [PMID: 38487857 PMCID: PMC10940963 DOI: 10.7189/jogh.14.04006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2024] Open
Abstract
Background Low back pain (LBP) is reported as an urgent public-health concern globally because it occurs in all age groups and is now the leading cause of disability, with health systems unable to cope with this burden. We present China's burden of LBP by estimating its prevalence and years lived with disability (YLDs) from 1990 to 2019. Methods We obtained the data relating to LBP from the Global Burden of Disease Database (GBD) 2019. Then we calculated years lived with disability caused by LBP by multiplying the prevalence of LBP sequelae by their corresponding disability weights. We performed an analysis of the age-, sex-, and province-specific prevalence and YLDs of 33 provinces/regions in China, as well as their relationship with the sociodemographic index (SDI). Results China has the largest numbers of people with LBP (91.3 million) and YLDs (8.6 million) globally, and LBP is the leading cause of YLDs. The age-standardised prevalence was 7.25% in 1990, and this decreased to 5.13% in 2019. The age-standardised YLD rate was 579/100 000 in 2019, having decreased by 28.97%. Both measurements increased with age, being higher in women and varying across the 33 provinces/regions. For the 5-to-14-year age group, the prevalence (4.50%) and YLD rate (4.51%) increased in 2019 from 1990 (3.21% and 3.21%, respectively) when compared to the elderly group. Age-standardised YLD rates experienced decreases with increasing SDI, while there was an increasing tendency as SDI increased further; the changes for women were more obvious. Conclusions Over the three decades considered, China has continued to have the largest number of people with LBP in the world, even though the age-standardised prevalence has decreased. YLDs were found to decrease as SDI increased, but they subsequently increased again. LBP still presents a burden, particularly for children and postmenopausal women.
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Affiliation(s)
- Shuai Xu
- Department of Spinal Surgery, Peking University People’s Hospital, Peking University, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chenjun Liu
- Department of Spinal Surgery, Peking University People’s Hospital, Peking University, Beijing, China
| | - Weiwei Xia
- Department of Spinal Surgery, Peking University People’s Hospital, Peking University, Beijing, China
| | - Zhenbo Wang
- Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Kexin Li
- Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Haiying Liu
- Department of Spinal Surgery, Peking University People’s Hospital, Peking University, Beijing, China
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Qi J, Liu H, Zhou Z, Jiang Y, Fan W, Hu J, Li J, Guo Z, Xie M, Huang W, Zhang Q, Hou S. Genome-wide association study identifies multiple loci influencing duck serum biochemical indicators in the laying period. Br Poult Sci 2024; 65:8-18. [PMID: 38284741 DOI: 10.1080/00071668.2023.2272982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 09/12/2023] [Indexed: 01/30/2024]
Abstract
1. Laying performance is an important economic trait in poultry. The blood is essential in transporting nutrients to the yolk and albumen and is necessary for egg formation.2. This study calculated the phenotypic relationships of duck egg quality, egg production efficiency and 22 serum parameters in the egg-laying stage. Using a variety of methodologies, a genome-wide association study (GWAS) was carried out to uncover the genetic foundations of the 22 serum biochemical markers of laying ducks.3. Spearman correlation coefficients between the egg production (226-329 per day) and the serum parameters were all weak, being less than 0.3. This analysis was done on 22 serum parameters, with total protein (TP), total triglycerides (TG), calcium (Ca) and phosphorous (P) having the highest correlation coefficients (r = 0.56-0.88). The coefficients for blood markers, such as total cholesterol (CHOL), total bilirubin (TBIL), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) varied from 0.70-0.94.4. Based on single-marker single-trait genome-wide analyses by a mixed linear model program of EMMAX, nine candidate genes were associated with enzyme traits (AST/ALT aspartate transaminase/glutamic-pyruvic transaminase, creatine kinase) and 19 candidate genes were associated with metabolism and protein-related serum parameters (glucose, total bile acid, uric acid (UA), albumin (ALB).5. The mvLMM (multivariate linear mixed model) of GEMMA software was used to carry out multiple trait integrated GWAS. Two candidate genes were found in the TP-TG-CA-P analysis and seven candidate genes in the CHOL_LDL-C_HDL-C_TBIL study. There was a high genetic correlation between the two groups.
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Affiliation(s)
- J Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - H Liu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Z Zhou
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Y Jiang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - W Fan
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - J Hu
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - J Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Z Guo
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - M Xie
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - W Huang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Q Zhang
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - S Hou
- State Key Laboratory of Animal Nutrition, Ministry of Agriculture and Rural Affairs, Beijing, China
- Key Laboratory of Animal (Poultry) Genetics Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Beijing, China
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
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Qi J, Li M, Wang L, Hu Y, Liu W, Long Z, Zhou Z, Yin P, Zhou M. National and subnational trends in cancer burden in China, 2005-20: an analysis of national mortality surveillance data. Lancet Public Health 2023; 8:e943-e955. [PMID: 38000889 DOI: 10.1016/s2468-2667(23)00211-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 09/04/2023] [Accepted: 09/06/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND Cancer has been the leading cause of death since 2010 in China, with increasing incidence, mortality, and burden. We aimed to assess national and subnational changes in the cancer burden from 2005 to 2020 in China using data from the National Mortality Surveillance System. METHODS We extracted data on cancer-related deaths from the National Mortality Surveillance System, which accounts for 24·3% of the country's population with national and provincial representativeness. Data for the surveillance population stratified by age and sex were extracted from the National Bureau of Statistics of China. We estimated mortality and years of life lost (YLLs) for all cancers and for 23 cancer groups by age and sex, nationally, and for 31 provinces in China between 2005 and 2020. We calculated age-standardised mortality and YLL rates using the China 2020 census as the reference population. Average annual percent changes in age-standardised rates for mortality and YLLs were calculated to assess trends over the study period. Decomposition analysis was used to assess the drivers of changes in cancer-related death due to three explanatory components: population growth, population ageing, and age-specific mortality rates in China. FINDINGS The total number of cancer-related deaths increased by 21·6% to 2 397 772 and YLLs increased by 5·0% to 56 598 975 between 2005 and 2020. The three leading fatal cancer types remained stable for both sexes over the study period: tracheal, bronchus, and lung cancer; liver cancer; and stomach cancer. The fourth and fifth leading cancers also remained stable among males (oesophageal, and colon and rectum), while colon and rectum cancer replaced oesophageal cancer as the fourth and breast cancer replaced colon and rectum cancer as the fifth leading cause of cancer-related death among females. Age-standardised mortality rates and age-standardised YLL rates for almost all cancer types (except for prostate for male and multiple myeloma for female) decreased significantly in both sexes in urban areas. Age-standardised YLL rates increased for about half of all cancers for both sexes in rural areas. Leading fatal types were leukaemia and brain and nervous system cancer in younger groups (aged 0-19 years); liver, tracheal, bronchus, and lung, or breast cancers in middle-aged groups (aged 40-59 years); and tracheal, bronchus, and lung, liver, or stomach cancers in older adults (aged ≥60 years) in 2020. The leading causes of cancer-related mortality varied for each province, with tracheal, bronchus, and lung or liver cancer at the top in 30 provinces. INTERPRETATION The cancer burden in China appeared to be shifting towards that in high-income countries from 2005 to 2020. Adjustments to existing health plans and actions are needed to reduce the burdens of tracheal, bronchus, and lung cancer or other leading and emerging cancers. FUNDING National Key Research and Development Program of China.
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Affiliation(s)
- Jinlei Qi
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Menglong Li
- Department of Child and Adolescent Health and Maternal Care, School of Public Health, Capital Medical University, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yifei Hu
- Department of Child and Adolescent Health and Maternal Care, School of Public Health, Capital Medical University, Beijing, China; UNESCO Chair on Global Health and Education, Peking University, Beijing, China
| | - Wei Liu
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zheng Long
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zifang Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Wang H, Yang C, Wang J, Xi Y, Qi J, Hu J, Bai L, Li L, Mustafa A, Liu H. Genome-wide association analysis of neck ring traits in NongHua ma male ducks. Br Poult Sci 2023; 64:670-677. [PMID: 37610317 DOI: 10.1080/00071668.2023.2249840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 08/24/2023]
Abstract
1. Male NongHua ma ducks have more colourful feathers than females, especially considering that the former have a distinctive neck ring that is different from that of females. This ring development might be influenced by sex selection, the environment, genetics and other elements.2. Genome-wide association analysis (GWAS) was used to locate candidate genes that affect the neck ring formation of male ducks to investigate the genetic basis of this phenomenon.3. In this study, the neck ring area and width of 180 male ducks were assessed at ages 80, 90, 100, 110 and 120 d. GWAS was used to identify associated genes. There were 0, 7, 14, 48 and 21 possible candidate genes annotated around the 0, 12, 25, 76 and 40 SNP loci n corresponding regions. A total of 13 candidate genes were identified around 21 SNP sites at the neck ring width of 120 d.4. These significant genes were annotated and GO and KEGG enrichment analyses were performed. All SNPs that exceeded the significance threshold were annotated and preliminarily screened as candidate genes affecting neck ring formation. From analysis of gene function and enriched KEGG pathways, genes such as THSD1, SLC6A4, DGAT2, PRKDC, B3GAT2, ROR1, GRK7, EXTL3, TXNDC12, COL4A2, PRKG1, ACTR3, were considered important candidate marker sites related to the neck ring. This provided a reference starting point for the genetic mechanism underlying duck feather colour.
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Affiliation(s)
- H Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - C Yang
- Sichuan Animal Science Academy, Sichuan Key Laboratory of Animal Genetics and Breeding, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Y Xi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Bai
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - A Mustafa
- Institute of Animal Nutrition, Key Laboratory for Animal Disease-Resistance Nutrition of China, Ministry of Education, Sichuan Agricultural University, Chengdu, China
| | - H Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
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Liu H, Tang Q, Yan X, Wang L, Wang J, Yang Q, Wei B, Li J, Qi J, Hu J, Hu B, Han C, Wang J, Li L. Mass spectrometry-based metabolic profiling for identification of biomarkers related to footpad dermatitis in ducks. Br Poult Sci 2023; 64:577-585. [PMID: 37254666 DOI: 10.1080/00071668.2023.2214884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 03/02/2023] [Accepted: 04/04/2023] [Indexed: 06/01/2023]
Abstract
1. A new assessment method for duck footpad dermatitis (FPD) evaluation was developed, combining visual and histological characters using the images and sections of 400 ducks' feet at 340 d of age. All ducks were graded as G0 (healthy), G1 (mild), G2 (moderate) and G3 (severe) according to the degree of FPD.2. To reveal the potential biomarkers in serum related to duck FPD, non-targeted metabolomics and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were used to explore differential metabolites in each group.3. There were 57, 91 and 210 annotated differential metabolites in groups G1, G2 and G3 compared with G0, which meant that the severity of FPD increased in line with the number of metabolites. Four metabolites, L-phenylalanine, L-arginine, L-leucine and L-lysine, were considered potential biomarkers related to FPD.4. KEGG enrichment analysis showed that the FPD was mainly involved in glycolysis, the tricarboxylic acid (TCA) cycle, the pentose phosphate pathway and amino acid metabolism. These are related to production metabolism and can affect the physiological activities of ducks, which might explain the decrease in production performance.
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Affiliation(s)
- H Liu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Q Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - X Yan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - Q Yang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - B Wei
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Qi
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - B Hu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - C Han
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - J Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
| | - L Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, China
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10
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Xu Y, Liu Z, Qi J, Wang L, Zhou M, Yin P. Pulmonary Heart Disease Associated Mortality - China, 2014-2021. China CDC Wkly 2023; 5:779-784. [PMID: 37745265 PMCID: PMC10515646 DOI: 10.46234/ccdcw2023.148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/25/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction Over the latter half of the previous century, pulmonary heart disease (PHD) emerged as a significant public health issue in China. However, the current mortality rate is unknown. Utilizing the Multiple Cause of Death database, the present study aims to investigate the current state and progression of PHD-associated death in China. Methods Data from the China National Mortality Surveillance System were used to analyze progression in mortality rates attributable to PHD from 2014 to 2021. To standardize population structure for each year during the investigation period, demographic information from the 2020 census was employed as the reference population. Age-standardized mortality rates (ASMR) were determined based on sex, urban-rural area, and region. To identify trends in ASMR, a joinpoint regression analysis was executed. Results The ASMR of PHD exhibited a marked decrease, falling from 61.68 per 100,000 in 2014 to 28.53 per 100,000 in 2021. This downward trend was observable in both genders, all regions, and both urban and rural settings. The greatest ASMR values were documented in the western region. Comparative observations revealed a higher ASMR in rural areas versus urban ones and in males versus females. PHD-associated deaths predominantly occurred among older individuals, particularly those aged 80 and above. Chronic obstructive pulmonary disease (COPD) emerged as the principal underlying cause of death PHD-associated mortalities, accounting for between 87.41% and 93.42% of cases throughout the period 2014-2021. Conclusions There was a declining trend in PHD mortality in China from 2014 to 2021, with COPD accounting for a significant proportion of these deaths. Given the high prevalence of COPD and the escalating population aging in China, PHD remains a significant health concern that warrants further attention.
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Affiliation(s)
- Yangyang Xu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhe Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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11
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Huang S, Lin X, Yin P, Yin Y, Zhou M, Qi J, Yu C, Chen T, Zhong W. Assessment of disability weights at the provincial and city levels based on 93,254 respondents in Fujian, China: Findings from the Fujian disability weight measurement study. Chin Med J (Engl) 2023:00029330-990000000-00765. [PMID: 37612264 DOI: 10.1097/cm9.0000000000002812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Indexed: 08/25/2023] Open
Affiliation(s)
- Shaofen Huang
- Institute for Endemic and Chronic and Non-communicable Diseases, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, Fujian350012, China
| | - Xiuquan Lin
- Department of Epidemiology and Health Statistics, The School of Public Health, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Peng Yin
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing100050, China
| | - Yanrong Yin
- Institute for Endemic and Chronic and Non-communicable Diseases, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, Fujian350012, China
| | - Maigeng Zhou
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing100050, China
| | - Jinlei Qi
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing100050, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, Hubei430071, China
| | - Tiehui Chen
- Institute for Endemic and Chronic and Non-communicable Diseases, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, Fujian350012, China
| | - Wenling Zhong
- Institute for Endemic and Chronic and Non-communicable Diseases, Fujian Provincial Center for Disease Control and Prevention, Fuzhou, Fujian350012, China
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12
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Wang X, Liu H, Qi J, Zeng F, Wang L, Yin P, Liu F, Li H, Liu Y, Liu J, Wei L, Liang X, Wang Y, Rao H, Zhou M. Trends of Mortality in End-Stage Liver Disease - China, 2008-2020. China CDC Wkly 2023; 5:657-663. [PMID: 37593126 PMCID: PMC10427498 DOI: 10.46234/ccdcw2023.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 06/15/2023] [Indexed: 08/19/2023] Open
Abstract
Introduction Liver cancer and cirrhosis represent the most prevalent forms of end-stage liver diseases (ESLDs). Notably, in China, deaths attributed to ESLDs contribute significantly to the global mortality rate of these disorders. Enhanced comprehension of the mortality profile associated with ESLDs in China could provide crucial insights into intervention prioritization, which could in turn help reduce the overall global burden of these diseases. Methods Data were obtained from China's Disease Surveillance Points system. The presentation includes both crude and age-standardized mortality rates, stratified by sex, residential location, and region. Using Joinpoint Regression, trends in annual mortality rates were estimated from the period of 2008 to 2020 and expressed as the average annual percentage change (AAPC). Results In 2020, the gross mortality rate of ESLD stood at 30.08 cases per 100,000 individuals. A higher age-standardized ESLD mortality rate was observed in males and rural populations in comparison to their female and urban counterparts, respectively. Noticeably, the highest mortality rates associated with liver cancer and cirrhosis were reported in South and Southwest China, respectively. A positive correlation was noticed between age-specific ESLD mortality rates and advancing age. Interestingly, an annual decrease in the ESLD mortality rate was observed from 2008 to 2020. In urban contexts, the AAPC of cirrhosis was noted to be higher than that of liver cancer. Conclusions The mortality rate associated with ESLDs in China decreased between 2008 and 2020. Nevertheless, the death burden attributable to ESLD continues to be alarmingly high. Future initiatives should prioritize the reduction of ESLD mortality in particular populations: males, elderly individuals, and those residing in rural regions of South and Southwest China. The emphasis of future interventions should be placed on antiviral therapy for adults diagnosed with viral hepatitis, and on the prevention of hepatitis B virus (HBV) infection across all demographics.
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Affiliation(s)
- Xiaoxiao Wang
- Peking University People’s Hospital, Peking University Hepatology Institute, Beijing, China
- Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Huixin Liu
- Peking University People’s Hospital, Department of Clinical Epidemiology and Biostatistics, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou City, Guangdong Province, China
- Disease Control and Prevention Institute of Jinan University, Guangzhou City, Guangdong Province, China
- Jinan University-BioKangtai Vaccine Institute, Jinan University, Guangzhou City, Guangdong Province, China
| | - Lijun Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feng Liu
- Peking University People’s Hospital, Peking University Hepatology Institute, Beijing, China
- Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Hongbo Li
- China Center for Economic Research, National School of Development, Peking University, Beijing, China
| | - Yunning Liu
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiangmei Liu
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lai Wei
- Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China
| | - Xiaofeng Liang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou City, Guangdong Province, China
- Disease Control and Prevention Institute of Jinan University, Guangzhou City, Guangdong Province, China
- Jinan University-BioKangtai Vaccine Institute, Jinan University, Guangzhou City, Guangdong Province, China
| | - Yu Wang
- Chinese Foundation for Hepatitis Prevention and Control, Beijing, China
| | - Huiying Rao
- Peking University People’s Hospital, Peking University Hepatology Institute, Beijing, China
- Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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13
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bazyk M, Bellagamba L, Biondi R, Bismark A, Brookes EJ, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Cardoso JMR, Cichon D, Cimental Chavez AP, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Flierman M, Fulgione W, Fuselli C, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Guan H, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Hood NF, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Singh R, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Wu VHS, Xing Y, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. First Dark Matter Search with Nuclear Recoils from the XENONnT Experiment. Phys Rev Lett 2023; 131:041003. [PMID: 37566859 DOI: 10.1103/physrevlett.131.041003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/22/2023] [Indexed: 08/13/2023]
Abstract
We report on the first search for nuclear recoils from dark matter in the form of weakly interacting massive particles (WIMPs) with the XENONnT experiment, which is based on a two-phase time projection chamber with a sensitive liquid xenon mass of 5.9 ton. During the (1.09±0.03) ton yr exposure used for this search, the intrinsic ^{85}Kr and ^{222}Rn concentrations in the liquid target are reduced to unprecedentedly low levels, giving an electronic recoil background rate of (15.8±1.3) events/ton yr keV in the region of interest. A blind analysis of nuclear recoil events with energies between 3.3 and 60.5 keV finds no significant excess. This leads to a minimum upper limit on the spin-independent WIMP-nucleon cross section of 2.58×10^{-47} cm^{2} for a WIMP mass of 28 GeV/c^{2} at 90% confidence level. Limits for spin-dependent interactions are also provided. Both the limit and the sensitivity for the full range of WIMP masses analyzed here improve on previous results obtained with the XENON1T experiment for the same exposure.
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Affiliation(s)
- E Aprile
- Physics Department, Columbia University, New York, New York 10027, USA
| | - K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - F Agostini
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | | | - L Althueser
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - B Andrieu
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - E Angelino
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - J R Angevaare
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - V C Antochi
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - D Antón Martin
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - F Arneodo
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - L Baudis
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A L Baxter
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Bazyk
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - L Bellagamba
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - R Biondi
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Bismark
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - E J Brookes
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - A Brown
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Bruenner
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - G Bruno
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - R Budnik
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - T K Bui
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - C Cai
- Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J M R Cardoso
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - D Cichon
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | | | - A P Colijn
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Conrad
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | | | - J P Cussonneau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V D'Andrea
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - M P Decowski
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Di Gangi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Di Pede
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - S Diglio
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - K Eitel
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Elykov
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - S Farrell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - A D Ferella
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - C Ferrari
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - H Fischer
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Flierman
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - W Fulgione
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - C Fuselli
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Gaemers
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - R Gaior
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - A Gallo Rosso
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - M Galloway
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - F Gao
- Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - R Glade-Beucke
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Grandi
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J Grigat
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Guan
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Guida
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Hammann
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Higuera
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - C Hils
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - L Hoetzsch
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - N F Hood
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Howlett
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Iacovacci
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - Y Itow
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - J Jakob
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - F Joerg
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Joy
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - N Kato
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - M Kara
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - P Kavrigin
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - S Kazama
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - M Kobayashi
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - G Koltman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - A Kopec
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - F Kuger
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Landsman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - R F Lang
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Levinson
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I Li
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Li
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - S Liang
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Lindemann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - K Liu
- Department of Physics & Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J Loizeau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Lombardi
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Long
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J A M Lopes
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - Y Ma
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Macolino
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - J Mahlstedt
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Mancuso
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - L Manenti
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - F Marignetti
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | | | - K Martens
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - J Masbou
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Masson
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - E Masson
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - S Mastroianni
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - M Messina
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - K Miuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - K Mizukoshi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A Molinario
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - K Morå
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Y Mosbacher
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M Murra
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Müller
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Ni
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - U Oberlack
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - B Paetsch
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - J Palacio
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Peres
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Peters
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J Pienaar
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - M Pierre
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V Pizzella
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Plante
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Qi
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Qin
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | | | - R Singh
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Sanchez
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J M F Dos Santos
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - I Sarnoff
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - G Sartorelli
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - P Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - H Schulze Eißing
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Schumann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | | | - M Selvi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - F Semeria
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - P Shagin
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - S Shi
- Physics Department, Columbia University, New York, New York 10027, USA
| | - E Shockley
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - M Silva
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - H Simgen
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - P-L Tan
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Terliuk
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Thers
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Toschi
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Trinchero
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - C Tunnell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - F Tönnies
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Valerius
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Volta
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Weinheimer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Weiss
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - D Wenz
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - C Wittweg
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - T Wolf
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - V H S Wu
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - Y Xing
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Z Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Yamashita
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Ye
- Physics Department, Columbia University, New York, New York 10027, USA
| | - L Yuan
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - G Zavattini
- INFN-Ferrara and Dip. di Fisica e Scienze della Terra, Università di Ferrara, 44122 Ferrara, Italy
| | - M Zhong
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - T Zhu
- Physics Department, Columbia University, New York, New York 10027, USA
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14
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Aprile E, Abe K, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bazyk M, Bellagamba L, Biondi R, Bismark A, Brookes EJ, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Cardoso JMR, Cichon D, Cimental Chavez AP, Clark M, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Flierman M, Fulgione W, Fuselli C, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Guan H, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Hood NF, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Pellegrini Q, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Pollmann TR, Qi J, Qin J, Ramírez García D, Singh R, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Wu VHS, Xing Y, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. Searching for Heavy Dark Matter near the Planck Mass with XENON1T. Phys Rev Lett 2023; 130:261002. [PMID: 37450817 DOI: 10.1103/physrevlett.130.261002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/07/2023] [Accepted: 06/07/2023] [Indexed: 07/18/2023]
Abstract
Multiple viable theoretical models predict heavy dark matter particles with a mass close to the Planck mass, a range relatively unexplored by current experimental measurements. We use 219.4 days of data collected with the XENON1T experiment to conduct a blind search for signals from multiply interacting massive particles (MIMPs). Their unique track signature allows a targeted analysis with only 0.05 expected background events from muons. Following unblinding, we observe no signal candidate events. This Letter places strong constraints on spin-independent interactions of dark matter particles with a mass between 1×10^{12} and 2×10^{17} GeV/c^{2}. In addition, we present the first exclusion limits on spin-dependent MIMP-neutron and MIMP-proton cross sections for dark matter particles with masses close to the Planck scale.
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Affiliation(s)
- E Aprile
- Physics Department, Columbia University, New York, New York 10027, USA
| | - K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | | | - L Althueser
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - B Andrieu
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - E Angelino
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - J R Angevaare
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - V C Antochi
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - D Antón Martin
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - F Arneodo
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - L Baudis
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A L Baxter
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Bazyk
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - L Bellagamba
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - R Biondi
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Bismark
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - E J Brookes
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - A Brown
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Bruenner
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - G Bruno
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - R Budnik
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - T K Bui
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - C Cai
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J M R Cardoso
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - D Cichon
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | | | - M Clark
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - A P Colijn
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Conrad
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | | | - J P Cussonneau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V D'Andrea
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - M P Decowski
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Di Gangi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Di Pede
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - S Diglio
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - K Eitel
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Elykov
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - S Farrell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - A D Ferella
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - C Ferrari
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - H Fischer
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Flierman
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - W Fulgione
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - C Fuselli
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Gaemers
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - R Gaior
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - A Gallo Rosso
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - M Galloway
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - F Gao
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - R Glade-Beucke
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Grandi
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J Grigat
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Guan
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - M Guida
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Hammann
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Higuera
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - C Hils
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - L Hoetzsch
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - N F Hood
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Howlett
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Iacovacci
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - Y Itow
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - J Jakob
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - F Joerg
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Joy
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - N Kato
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - M Kara
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - P Kavrigin
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - S Kazama
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - M Kobayashi
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - G Koltman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - A Kopec
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - F Kuger
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Landsman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - R F Lang
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Levinson
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I Li
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Li
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - S Liang
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Lindemann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - K Liu
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J Loizeau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Lombardi
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Long
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J A M Lopes
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - Y Ma
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Macolino
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - J Mahlstedt
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Mancuso
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - L Manenti
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - F Marignetti
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | | | - K Martens
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - J Masbou
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Masson
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - E Masson
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - S Mastroianni
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - M Messina
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - K Miuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - K Mizukoshi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A Molinario
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - K Morå
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Y Mosbacher
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M Murra
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Müller
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Ni
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - U Oberlack
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - B Paetsch
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - J Palacio
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - Q Pellegrini
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - R Peres
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Peters
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J Pienaar
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - M Pierre
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - V Pizzella
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Plante
- Physics Department, Columbia University, New York, New York 10027, USA
| | - T R Pollmann
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Qi
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Qin
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | | | - R Singh
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Sanchez
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J M F Dos Santos
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - I Sarnoff
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - G Sartorelli
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - P Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - H Schulze Eißing
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Schumann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | | | - M Selvi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - F Semeria
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - P Shagin
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - S Shi
- Physics Department, Columbia University, New York, New York 10027, USA
| | - E Shockley
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - M Silva
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - H Simgen
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - P-L Tan
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Terliuk
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Thers
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - F Toschi
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Trinchero
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - C Tunnell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - F Tönnies
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Valerius
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Volta
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Weinheimer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Weiss
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - D Wenz
- Institut für Physik and Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - C Wittweg
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - T Wolf
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - V H S Wu
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - Y Xing
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, Nantes 44307, France
| | - D Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Z Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Yamashita
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Ye
- Physics Department, Columbia University, New York, New York 10027, USA
| | - L Yuan
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - G Zavattini
- INFN-Ferrara and Dipartimento di Fisica e Scienze della Terra, Università di Ferrara, 44122 Ferrara, Italy
| | - M Zhong
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - T Zhu
- Physics Department, Columbia University, New York, New York 10027, USA
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Qi J, Chen L, Yin P, Zhou M, Peng S, Liu G, Wang L, Noman M, Xie Y, Dong Z, Guo Y. Projecting the excess mortality related to diurnal temperature range: A nationwide analysis in China. Sci Total Environ 2023; 864:160971. [PMID: 36535487 DOI: 10.1016/j.scitotenv.2022.160971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/24/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
The projection of excess mortality due to diurnal temperature range (DTR) in future has not been evaluated yet in China. Based on daily cause-specific mortality data from 266 cities in China, this study aimed to examine the association between DTR and mortality, which help project the future mortality burden attributable to DTR by considering the modification effects of altitude and population migration. We first found that every 10 °C increase in the DTR would result in a 3.3 % (95 % confidence interval: 2.6 %-4.1 %) excess risk of non-accidental mortality. The unit risk of DTR-associated cause-specific mortality at moderate or high altitudes was significantly lower than at lower altitudes, especially for cardiovascular disease. Subsequently, DTR-associated excess mortality in 2017 in China was 233,154 deaths (with a population-weighted attributable fraction of 2.9 %). Furthermore, we projected DTR-attributable additional mortality in the future, with the associated mortalities to be 221,860 deaths in 2050-2059 (2050s) and 132,305 deaths in 2090-2099 (2090s), under the SSP1-2.6 scenario. Meanwhile, the regional inequalities were exacerbated by 18 % in 2050s and 13 % in 2090s when considering the modification effects of city altitude. Future population migration would increase excess mortality in most areas in central and southern China, and reduce the disease burden in most areas in eastern, western, and northern China. Our findings underpinned that regional strategies should be adopted to mitigate excess mortality attributable to global climate change.
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Affiliation(s)
- Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lili Chen
- Beijing Academy of Blockchain and Edge Computing, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shushi Peng
- College of Urban and Environmental Sciences, Peking University, China
| | - Gang Liu
- College of Urban and Environmental Sciences, Peking University, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Muhammad Noman
- School of Space and Environment, Beihang University, Beijing, China
| | - Yang Xie
- School of Economics and Management, Beihang University, Beijing, China; Laboratory for Low-carbon Intelligent Governance, Beihang University, Beijing, China.
| | - Zhaomin Dong
- School of Space and Environment, Beihang University, Beijing, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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16
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He Q, Zhou M, Yin P, Jiang B, Qi J, Liu Y, Liu J, You J, Zhou Y, Long Z, Xing X, Cheng Q, Chen Y, Wang H, Liu Z. Can global or national disability weights represent provincial level? BMC Public Health 2023; 23:461. [PMID: 36899365 PMCID: PMC9999537 DOI: 10.1186/s12889-022-14347-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 10/11/2022] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND A universal set of disability weights(DWs) is mainly based on the survey of North America, Australia and Europe, whereas the participants in Asia was limited. The debate hasn't yet settled whether a universal DW is desirable or useful.The focus of the debate is its representativenes-s.After all, the DWs come from people's subjective evaluation of pain, and they may vary according to cultural background.The differences of the DWs could have implications for the magnitude or ranking of disease burdens.The DWs of Anhui Province has not been completely presented.This paper aims to obtain the DWs suitable for the general population of Anhui Province of China, and attempts to explore the differences between different DWs by comparing the DWs with the similar-cultural background and the DWs with cross-cultural background. METHODS A web-based survey was conducted to estimate the DWs for 206 health states of Anhui province in 2020. Paired comparison (PC) data were analyzed and anchored by probit regression and fitting loess model. We compared the DWs in Anhui with other provinces in China and those in Global burden of disease (GBD) and Japan. RESULTS Compared with Anhui province, the proportion of health states which showed 2 times or more differences ranged from 1.94% (Henan) to 11.17% (Sichuan) in China and domestic provinces. It was 19.88% in Japan and 21.51% in GBD 2013 respectively. In Asian countries or regions, most of the health states with top 15 DWs belonged to the category of mental, behavioral, and substance use disorders. But in GBD, most were infectious diseases and cancer. The differences of DWs in neighboring provinces were smaller than other geographically distant provinces or countries. CONCLUSION PC responses were largely consistent across very distinct settings,but the exceptions do need to be faced squarely.The differences of DWs among similar-cultural regions were smaller than cross-cultural regions. There is an urgent need for relevant gold standards.
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Affiliation(s)
- Qin He
- Anhui Provincial Center for Disease Control and Prevention, Shushan District, Hefei, 230601, China
| | - Maigeng Zhou
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Peng Yin
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Bo Jiang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Jinlei Qi
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Yunning Liu
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Jiangmei Liu
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Jinling You
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Yuchang Zhou
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Zheng Long
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Xiuya Xing
- Anhui Provincial Center for Disease Control and Prevention, Shushan District, Hefei, 230601, China
| | - Qianyao Cheng
- Anhui Provincial Center for Disease Control and Prevention, Shushan District, Hefei, 230601, China
| | - Yeji Chen
- Anhui Provincial Center for Disease Control and Prevention, Shushan District, Hefei, 230601, China
| | - Huadong Wang
- Anhui Provincial Center for Disease Control and Prevention, Shushan District, Hefei, 230601, China
| | - Zhirong Liu
- Anhui Provincial Center for Disease Control and Prevention, Shushan District, Hefei, 230601, China.
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17
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Liu H, Qi J, Yang J, Liu F, Li X, Yin P, Wang L, Liang Z, Wei L, Rao H, Zhou M. 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. Diabetes Obes Metab 2023; 25 Suppl 1:43-52. [PMID: 36781698 DOI: 10.1111/dom.15010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/28/2023] [Accepted: 02/08/2023] [Indexed: 02/15/2023]
Abstract
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.
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Affiliation(s)
- Huixin Liu
- Department of Clinical Epidemiology and Biostatistics, Peking University People's Hospital, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jia Yang
- Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Feng Liu
- Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Xiaohe Li
- Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhisheng Liang
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Lai Wei
- Hepato-Pancreato-Biliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Huiying Rao
- Peking University People's Hospital, Peking University Hepatology Institute, Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Diseases, Beijing International Cooperation Base for Science and Technology on NAFLD Diagnosis, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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18
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Zhu A, Srivastava A, Dibianco J, Qi J, Dhir A, Maruf M, Ferrante S, Johnson A, Semerjian A, Davenport M, Mammen L, Dabaja A, Lane B, Ginsburg K, Witzke K, George A. Negative predictive value of prostate MRI in real world practice: Results from a statewide surgical collaborative in the United States. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00940-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
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19
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Li C, Dong L, Durairaj J, Guan JC, Yoshimura M, Quinodoz P, Horber R, Gaus K, Li J, Setotaw YB, Qi J, De Groote H, Wang Y, Thiombiano B, Floková K, Walmsley A, Charnikhova TV, Chojnacka A, Correia de Lemos S, Ding Y, Skibbe D, Hermann K, Screpanti C, De Mesmaeker A, Schmelz EA, Menkir A, Medema M, Van Dijk ADJ, Wu J, Koch KE, Bouwmeester HJ. Maize resistance to witchweed through changes in strigolactone biosynthesis. Science 2023; 379:94-99. [PMID: 36603079 DOI: 10.1126/science.abq4775] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Maize (Zea mays) is a major staple crop in Africa, where its yield and the livelihood of millions are compromised by the parasitic witchweed Striga. Germination of Striga is induced by strigolactones exuded from maize roots into the rhizosphere. In a maize germplasm collection, we identified two strigolactones, zealactol and zealactonoic acid, which stimulate less Striga germination than the major maize strigolactone, zealactone. We then showed that a single cytochrome P450, ZmCYP706C37, catalyzes a series of oxidative steps in the maize-strigolactone biosynthetic pathway. Reduction in activity of this enzyme and two others involved in the pathway, ZmMAX1b and ZmCLAMT1, can change strigolactone composition and reduce Striga germination and infection. These results offer prospects for breeding Striga-resistant maize.
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Affiliation(s)
- C Li
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - L Dong
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - J Durairaj
- Bioinformatics Group, Wageningen University & Research, 6708 PB Wageningen, Netherlands
| | - J-C Guan
- Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USA
| | - M Yoshimura
- Laboratorium für Organische Chemie, Department of Chemistry and Applied Biosciences, ETH Zürich, 8093 Zürich, Switzerland.,Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland.,Kyoto University, iCeMS, Yoshida Ushinomiya-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - P Quinodoz
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - R Horber
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - K Gaus
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - J Li
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - Y B Setotaw
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - J Qi
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - H De Groote
- International Maize and Wheat Improvement Center (CIMMYT), PO Box 1041-00621, Nairobi, Kenya
| | - Y Wang
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - B Thiombiano
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - K Floková
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands.,Laboratory of Growth Regulators, Institute of Experimental Botany, The Czech Academy of Sciences and Faculty of Science, Palacký University, Šlechtitelů 27, 783 71 Olomouc, Czech Republic
| | - A Walmsley
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - T V Charnikhova
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - A Chojnacka
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
| | - S Correia de Lemos
- Bioinformatics Group, Wageningen University & Research, 6708 PB Wageningen, Netherlands.,Plant genomics and transcriptomics group, Institute of Biosciences, Sao Paulo State University, 13506-900 Rio Claro, Brazil
| | - Y Ding
- Section of Cell and Developmental Biology, University of California at San Diego; La Jolla, CA 92093, USA
| | - D Skibbe
- Seeds Research, Syngenta Crop Protection, LLC, Research Triangle Park, NC 27709, USA
| | - K Hermann
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - C Screpanti
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - A De Mesmaeker
- Syngenta Crop Protection AG, Schaffhauserstrasse 101, CH-4332 Stein, Switzerland
| | - E A Schmelz
- Section of Cell and Developmental Biology, University of California at San Diego; La Jolla, CA 92093, USA
| | - A Menkir
- International Institute of Tropical Agriculture, PMB 5320 Oyo Road, Ibadan, Nigeria
| | - M Medema
- Bioinformatics Group, Wageningen University & Research, 6708 PB Wageningen, Netherlands
| | - A D J Van Dijk
- Bioinformatics Group, Wageningen University & Research, 6708 PB Wageningen, Netherlands
| | - J Wu
- Department of Economic Plants and Biotechnology, Yunnan Key Laboratory for Wild Plant Resources, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - K E Koch
- Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, USA
| | - H J Bouwmeester
- Plant Hormone Biology Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands
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Shi J, Liu SX, Li JW, Liu YQ, Ma JX, Qi J, Chen LX, Zhou BY, Wang SJ, Yu PL. [Study on the reliability and validity of the Chinese Criteria of Health Scale for the elderly people]. Zhonghua Yu Fang Yi Xue Za Zhi 2022; 56:1809-1814. [PMID: 36536570 DOI: 10.3760/cma.j.cn112150-20220223-00170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Objective: To evaluate the reliability and validity of the Chinese Criteria of Health Scale for the elderly people. Methods: A cross-sectional study was performed among older adults of Meiyuan Community in Haidian District, Beijing and Nanwangkong Village in Qingzhou City,Shandong Province during July 2021. Using a cluster sampling method, totally 667 elderly people were investigated by face-to-face interview, using the scale which was formulated after two rounds of the Delphi method and pilot study. The overall scale includes physical health, mental health and social health subscales, including 9, 52 and 15 items, respectively. Four weeks after the survey, 56 elderly people were randomly selected and repeated the survey with the same method. The test-retest reliability, split-half reliability and internal consistency reliability of the scale were evaluated, and the validity was evaluated at the same time, including construct validity and content validity. Results: A total of 710 questionnaires were distributed and 667 valid questionnaires were obtained, with a total effective rate of 93.94%. The score of the overall scale was 79.79±16.22, the scores of the physical health, mental health, social health sub-scores were 41.64±9.76, 26.82±3.92 and 11.34±5.19, respectively. The scale had excellent reliability. In the test-retest reliability, the intraclass correlation coefficient (ICC) of the overall scale and each subscale were 0.766-0.861, and the weighted Kappa values were 0.762-0.817. The Spearman-Brown coefficient of the overall scale and each subscale in the split-half reliability were 0.722-0.855 (all P<0.001). The Cronbach's α coefficients of the overall scale of internal consistency reliability and each subscale were 0.748-0.899, and the Cronbach's α coefficients of each dimension were from 0.709 to 0.963(all P<0.001). At the same time, the scale had good construct validity and content validity. The correlation coefficients between the score of each dimension and its sub-scale were larger, from 0.641 to 0.873 (all P<0.05). The cumulative variance contribution rates of the scale and three subscales were all more than 50% of the approved standard. A total of 11 common factors were extracted, and all the load values of each item on the corresponding factors were ≥0.04. Conclusion: The Chinese Criteria of Health Scale for the elderly people has good validity and excellent reliability. It can be used as a basis for the scientific division of the health status of the elderly, the formulation of relevant policies by the government and the provision of appropriate health services for the elderly.
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Affiliation(s)
- J Shi
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - S X Liu
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - J W Li
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Y Q Liu
- Malianwa Street Office, Haidian District, Beijing 100193, China
| | - J X Ma
- Shangdong Center for Disease Control and Prevention, Ji'nan 250014, China
| | - J Qi
- Malianwa Street Office, Haidian District, Beijing 100193, China
| | - L X Chen
- Shangdong Center for Disease Control and Prevention, Ji'nan 250014, China
| | - B Y Zhou
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - S J Wang
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - P L Yu
- Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
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Wang W, Li J, Liu Y, Ye P, Xu C, Yin P, Liu J, Qi J, You J, Lin L, Song Z, Wang L, Wang L, Huo Y, Zhou M. Spatiotemporal trends and ecological determinants of cardiovascular mortality among 2844 counties in mainland China, 2006-2020: a Bayesian modeling study of national mortality registries. BMC Med 2022; 20:467. [PMID: 36451190 PMCID: PMC9714200 DOI: 10.1186/s12916-022-02613-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 10/17/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of death in China. No previous study has reported CVD mortality at county-level, and little was known about the nonmedical ecological factors of CVD mortality at such small scale in mainland China. Understanding the spatiotemporal variations of CVD mortality and examining its nonmedical ecological factors would be of great importance to tailor local public health policies. METHODS By using national mortality registration data in China, this study used hierarchical spatiotemporal Bayesian model to demonstrate spatiotemporal distribution of CVD mortality in 2844 counties during 2006 to 2020 and investigate how nonmedical ecological determinants have affected CVD mortality inequities from the spatial perspectives. RESULTS During 2006-2020, the age-standardized mortality rate (ASMR) of CVD decreased from 284.77 per 100,000 in 2006 to 241.34 per 100,000 in 2020. Among 2844 counties, 1144 (40.22%) were hot spots counties with a higher CVD mortality risk compared to the national average and located mostly in northeast, north central, and westernmost regions; on the contrary, 1551 (54.53%) were cold spots counties and located mostly in south and southeast coastal counties. CVD mortality risk decreased from 2006 to 2020 was larger in counties where CVD mortality rate had been higher in 2006 in most of the counties, vice versa. Nationwide, nighttime light intensity (NTL) was the major influencing factor of CVD mortality, a higher NTL appeared to be negatively associated with a lower CVD mortality, with one unit increase in NTL, and the CVD mortality risk will decrease 11% (relative risk of NTL was estimated as 0.89 with 95% confidence interval of 0.83-0.94). CONCLUSIONS Substantial between-county discrepancies of CVD mortality distribution were observed during past 15 years in mainland China. Nonmedical ecological determinants were estimated to significantly explain the overall and local spatiotemporal patterns of this CVD mortality risk. Targeted considerations are needed to integrate primary care with clinical care through intensifying further strategies to narrow unequally distribution of CVD mortality at local scale. The approach to county-level analysis with small area models has the potential to provide novel insights into Chinese disease-specific mortality burden.
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Affiliation(s)
- Wei Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Junming Li
- School of Statistics, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Pengpeng Ye
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China.,The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Chengdong Xu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Jinling You
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Lin Lin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Ziwei Song
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Limin Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China.
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China.
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22
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bellagamba L, Biondi R, Bismark A, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Capelli C, Cardoso JMR, Cichon D, Clark M, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Di Giovanni A, Di Stefano R, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Fulgione W, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Gardner R, Glade-Beucke R, Grandi L, Grigat J, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Paschos P, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Reichard S, Rocchetti A, Rupp N, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Stephen J, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Wei Y, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. Search for New Physics in Electronic Recoil Data from XENONnT. Phys Rev Lett 2022; 129:161805. [PMID: 36306777 DOI: 10.1103/physrevlett.129.161805] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
We report on a blinded analysis of low-energy electronic recoil data from the first science run of the XENONnT dark matter experiment. Novel subsystems and the increased 5.9 ton liquid xenon target reduced the background in the (1, 30) keV search region to (15.8±1.3) events/(ton×year×keV), the lowest ever achieved in a dark matter detector and ∼5 times lower than in XENON1T. With an exposure of 1.16 ton-years, we observe no excess above background and set stringent new limits on solar axions, an enhanced neutrino magnetic moment, and bosonic dark matter.
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Affiliation(s)
- E Aprile
- Physics Department, Columbia University, New York, New York 10027, USA
| | - K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - F Agostini
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | | | - L Althueser
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - B Andrieu
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - E Angelino
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - J R Angevaare
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - V C Antochi
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - D Antón Martin
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - F Arneodo
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - L Baudis
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A L Baxter
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Bellagamba
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - R Biondi
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - A Bismark
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - A Brown
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Bruenner
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - G Bruno
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - R Budnik
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - T K Bui
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - C Cai
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - C Capelli
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - J M R Cardoso
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - D Cichon
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - M Clark
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - A P Colijn
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - J Conrad
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - J J Cuenca-García
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - J P Cussonneau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - V D'Andrea
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - M P Decowski
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - P Di Gangi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Di Pede
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - A Di Giovanni
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - R Di Stefano
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - S Diglio
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - K Eitel
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Elykov
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Farrell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - A D Ferella
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - C Ferrari
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - H Fischer
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - W Fulgione
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - P Gaemers
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, Netherlands
| | - R Gaior
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - A Gallo Rosso
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - M Galloway
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - F Gao
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - R Gardner
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - R Glade-Beucke
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Grandi
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J Grigat
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Guida
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Hammann
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Higuera
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - C Hils
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - L Hoetzsch
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - J Howlett
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Iacovacci
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - Y Itow
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - J Jakob
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - F Joerg
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Joy
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - N Kato
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - M Kara
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - P Kavrigin
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - S Kazama
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - M Kobayashi
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602, Japan
| | - G Koltman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - A Kopec
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - F Kuger
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - H Landsman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - R F Lang
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - L Levinson
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - I Li
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Li
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | - S Liang
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - S Lindemann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - K Liu
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - J Loizeau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - F Lombardi
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Long
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - J A M Lopes
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - Y Ma
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Macolino
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
- Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - J Mahlstedt
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Mancuso
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - L Manenti
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - F Marignetti
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | | | - K Martens
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - J Masbou
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - D Masson
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - E Masson
- LPNHE, Sorbonne Université, CNRS/IN2P3, 75005 Paris, France
| | - S Mastroianni
- Department of Physics "Ettore Pancini," University of Napoli and INFN-Napoli, 80126 Napoli, Italy
| | - M Messina
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - K Miuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - K Mizukoshi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501, Japan
| | - A Molinario
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - K Morå
- Physics Department, Columbia University, New York, New York 10027, USA
| | - Y Mosbacher
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - M Murra
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Müller
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Ni
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - U Oberlack
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - B Paetsch
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - J Palacio
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - P Paschos
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - R Peres
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - C Peters
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J Pienaar
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - M Pierre
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - V Pizzella
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Plante
- Physics Department, Columbia University, New York, New York 10027, USA
| | - J Qi
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Qin
- Department of Physics and Astronomy, Purdue University, West Lafayette, Indiana 47907, USA
| | | | - S Reichard
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Rocchetti
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - N Rupp
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - L Sanchez
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - J M F Dos Santos
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - I Sarnoff
- New York University Abu Dhabi-Center for Astro, Particle and Planetary Physics, Abu Dhabi, United Arab Emirates
| | - G Sartorelli
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - P Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - H Schulze Eißing
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Schumann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | | | - M Selvi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - F Semeria
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - P Shagin
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - S Shi
- Physics Department, Columbia University, New York, New York 10027, USA
| | - E Shockley
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - M Silva
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - H Simgen
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - J Stephen
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - P-L Tan
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, Stockholm SE-10691, Sweden
| | - A Terliuk
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Thers
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Nantes Université, Nantes 44307, France
| | - F Toschi
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - G Trinchero
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Torino, Italy
| | - C Tunnell
- Department of Physics and Astronomy, Rice University, Houston, Texas 77005, USA
| | - F Tönnies
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Valerius
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Volta
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - Y Wei
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - C Weinheimer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Weiss
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - D Wenz
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - C Wittweg
- Physik-Institut, University of Zürich, 8057 Zürich, Switzerland
| | - T Wolf
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Xu
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing 100084, China
| | - Z Xu
- Physics Department, Columbia University, New York, New York 10027, USA
| | - M Yamashita
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka, Hida, Gifu 506-1205, Japan
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - J Ye
- Physics Department, Columbia University, New York, New York 10027, USA
| | - L Yuan
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, Illinois 60637, USA
| | - G Zavattini
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - M Zhong
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - T Zhu
- Physics Department, Columbia University, New York, New York 10027, USA
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23
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Liu X, Wang F, Yu C, Zhou M, Yu Y, Qi J, Yin P, Yu S, Zhou Y, Lin L, Liu Y, Wang Q, Zhong W, Huang S, Li Y, Liu L, Liu Y, Ma F, Zhang Y, Tian Y, Yu Q, Zeng J, Pan J, Zhou M, Kang W, Zhou JY, Yu H, Liu Y, Li S, Yu H, Wang C, Xia T, Xi J, Ren X, Xing X, Cheng Q, Fei F, Wang D, Zhang S, He Y, Wen H, Liu Y, Shi F, Wang Y, Sun P, Bai J, Wang X, Shen H, Ma Y, Yang D, Mubarik S, Cao J, Meng R, Zhang Y, Guo Y, Yan Y, Zhang W, Ke S, Zhang R, Wang D, Zhang T, Nomura S, Hay SI, Salomon JA, Haagsma JA, Murray CJ, Vos T. Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study. Lancet Reg Health West Pac 2022; 26:100520. [PMID: 35910433 PMCID: PMC9335373 DOI: 10.1016/j.lanwpc.2022.100520] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2023]
Abstract
BACKGROUND The disability weight (DW) quantifies the severity of health states from disease sequela and is a pivotal parameter for disease burden calculation. We conducted a national and subnational DW measurement in China. METHODS In 2020-2021, we conducted a web-based survey to assess DWs for 206 health states in 31 Chinese provinces targeting health workers via professional networks. We fielded questions of paired comparison (PC) and population health equivalence (PHE). The PC data were analysed by probit regression analysis, and the regression results were anchored by results from the PHE responses on the DW scale between 0 (no loss of health) and 1 (health loss equivalent to death). FINDINGS We used PC responses from 468,541 respondents to estimate DWs of health states. Eight of 11 domains of health had significantly negative coefficients in the regression of the difference between Chinese and Global Burden of Disease (GBD) DWs, suggesting lower DW values for health states with mention of these domains in their lay description. We noted considerable heterogeneity within domains, however. After applying these Chinese DWs to the 2019 GBD estimates for China, total years lived with disability (YLDs) increased by 14·9% to 177 million despite lower estimates for musculoskeletal disorders, cardiovascular diseases, mental disorders, diabetes and chronic kidney disease. The lower estimates of YLDs for these conditions were more than offset by higher estimates of common, low-severity conditions. INTERPRETATION The differences between the GBD and Chinese DWs suggest that there might be some contextual factors influencing the valuation of health states. While the reduced estimates for mental disorders, alcohol use disorder, and dementia could hint at a culturally different valuation of these conditions in China, the much greater shifts in YLDs from low-severity conditions more likely reflects methodological difficulty to distinguish between health states that vary a little in absolute DW value but a lot in relative terms. FUNDING This work was supported by the National Natural Science Foundation of China [grant number 82173626], the National Key Research and Development Program of China [grant numbers 2018YFC1315302], Wuhan Medical Research Program of Joint Fund of Hubei Health Committee [grant number WJ2019H304], and Ningxia Natural Science Foundation Project [grant number 2020AAC03436].
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Affiliation(s)
- Xiaoxue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Fang Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou 221004, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
- Global Health Institute, Wuhan University, Wuhan 430072, China
- Corresponding authors.
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing 100050, China
- Corresponding authors.
| | - Yong Yu
- School of Public Health and Management, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Jinlei Qi
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing 100050, China
| | - Peng Yin
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing 100050, China
| | - Shicheng Yu
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuchang Zhou
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, China
| | - Lin Lin
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing 100050, China
| | - Yunning Liu
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing 100050, China
| | - Qiqi Wang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wenling Zhong
- Fujian Provincial Center for Disease Control and Prevention, No. 78 Jintai Road, Gulou District, Fuzhou City 350001, Fujian province, China
| | - Shaofen Huang
- Fujian Provincial Center for Disease Control and Prevention, No. 78 Jintai Road, Gulou District, Fuzhou City 350001, Fujian province, China
| | - Yanxia Li
- Liaoning Provincial Center for Disease Control and Prevention, No. 79 Jixian Street, Heping District, Shenyang City 110005, China
| | - Li Liu
- Liaoning Provincial Center for Disease Control and Prevention, No. 79 Jixian Street, Heping District, Shenyang City 110005, China
| | - Yuan Liu
- Hunan Provincial Center for Disease Control and Prevention, No. 450 first section of Middle Furong Road, Changsha City 410005, Hunan Province, China
| | - Fang Ma
- Ningxia Center for Disease Control and Prevention, No. 528 Shengli Street, Xingqing District, Yinchuan City 750004, Ningxia, China
| | - Yine Zhang
- Ningxia Center for Disease Control and Prevention, No. 528 Shengli Street, Xingqing District, Yinchuan City 750004, Ningxia, China
| | - Yuan Tian
- Ningxia Center for Disease Control and Prevention, No. 528 Shengli Street, Xingqing District, Yinchuan City 750004, Ningxia, China
| | - Qiuli Yu
- Yunnan Center for Disease Control and Prevention, No. 158 Dongsi Street, Xishan District, Kunming City 650022, Yunnan Province, China
| | - Jing Zeng
- Sichuan Center for Disease Control and Prevention, No. 6 Middle School Road, Wuhou District, Chengdu City 610041, Sichuan Province, China
| | - Jingju Pan
- Hubei Provincial Center for Disease Control and Prevention, No. 6 Zhuodaoquan North Road, Hongshan District, Wuhan City 430079, Hubei Province, China
| | - Mengge Zhou
- Hubei Provincial Center for Disease Control and Prevention, No. 6 Zhuodaoquan North Road, Hongshan District, Wuhan City 430079, Hubei Province, China
| | - Weiwei Kang
- Inner Mongolia Integrative Center for Disease Control and Prevention, No. 50 Ordos Street, Hohhot 010031, China
| | - Jin-Yi Zhou
- Jiangsu Provincial Center for disease Control and Prevention, Public Health Research Institute of Jiangsu Province, Jiangsu Road No. 172, Gulou District, Nanjing city 210009, Jiangsu Province, China
| | - Hao Yu
- Jiangsu Provincial Center for disease Control and Prevention, Public Health Research Institute of Jiangsu Province, Jiangsu Road No. 172, Gulou District, Nanjing city 210009, Jiangsu Province, China
| | - Yuehua Liu
- Heilongjiang Provincial Center for Disease Control and Prevention, No. 40 Youfang Street, Xiangfang District, Harbin City 150030, China
| | - Shaofang Li
- Henan Provincial Center for Disease Control and Prevention, No. 105 Nongye South Street, Zhengdong New District, Zhengzhou City 450016, China
| | - Huiting Yu
- Shanghai Municipal Center for Disease Control and Prevention, No. 1380 Zhongshan West Street, Changning District, Shanghai City 200051, China
| | - Chunfang Wang
- Shanghai Municipal Center for Disease Control and Prevention, No. 1380 Zhongshan West Street, Changning District, Shanghai City 200051, China
| | - Tian Xia
- Shanghai Municipal Center for Disease Control and Prevention, No. 1380 Zhongshan West Street, Changning District, Shanghai City 200051, China
| | - Jinen Xi
- Gansu Provincial Center for Disease Control and Prevention, No. 230 Donggang West Street, Chengguan District, Lanzhou City 73000, China
| | - Xiaolan Ren
- Gansu Provincial Center for Disease Control and Prevention, No. 230 Donggang West Street, Chengguan District, Lanzhou City 73000, China
| | - Xiuya Xing
- Anhui Provincial Center for Disease Control and Prevention, No. 12560 Fanhua Avenue, Economic and Technological Development District, Hefei City 230601, China
| | - Qianyao Cheng
- Anhui Provincial Center for Disease Control and Prevention, No. 12560 Fanhua Avenue, Economic and Technological Development District, Hefei City 230601, China
| | - Fangrong Fei
- Zhejiang Provincial Center for Disease Control and Prevention, No. 3399 Binsheng Street, Binjiang District, Hangzhou City 310051, China
| | - Dezheng Wang
- Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Street, Hedong District, Tianjin City 300011, China
| | - Shuang Zhang
- Tianjin Centers for Disease Control and Prevention, No. 6 Huayue Street, Hedong District, Tianjin City 300011, China
| | - Yuling He
- Shanxi Center for Disease Control and Prevention, No. 6 Xiaonanguan Shuangta West Street, Yingze District, Taiyuan City 030012, China
| | - Haoyu Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Yan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Fang Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Yafeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Panglin Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Jianjun Bai
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Xuyan Wang
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Hui Shen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Yudiyang Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Donghui Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Sumaira Mubarik
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Jinhong Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, No. 115 Donghu Road, Wuchang District, Wuhan 430071, Hubei Province, China
| | - Runtang Meng
- Department of Preventive Medicine, School of Medicine, Hangzhou Normal University, Hangzhou 311121, Zhejiang, China
| | - Yunquan Zhang
- Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology, Wuhan 430065, China
| | - Yan Guo
- Wuhan Centers for Disease Control and Prevention, Wuhan 430024, Hubei, China
| | - Yaqiong Yan
- Wuhan Centers for Disease Control and Prevention, Wuhan 430024, Hubei, China
| | - Wei Zhang
- Wuhan Centers for Disease Control and Prevention, Wuhan 430024, Hubei, China
| | - Sisi Ke
- Wuhan Centers for Disease Control and Prevention, Wuhan 430024, Hubei, China
| | - Runhua Zhang
- Beijing Tiantan Hospital, Capital Medical University Beijing, China
| | - Dingyi Wang
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital; National Center for Respiratory Medicine, Beijing, China; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100083, China
| | - Shuhei Nomura
- Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan
- Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Japan
| | - Simon I. Hay
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
| | - Joshua A. Salomon
- Department of Medicine, School of Medicine, Stanford University, Stanford, CA, USA
| | - Juanita A. Haagsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Theo Vos
- Institute for Health Metrics and Evaluation, University of Washington, Seattle, USA
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24
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Alfonsi M, Althueser L, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bellagamba L, Biondi R, Bismark A, Brown A, Bruenner S, Bruno G, Budnik R, Capelli C, Cardoso JMR, Cichon D, Cimmino B, Clark M, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Gangi PD, Pede SD, Giovanni AD, Stefano RD, Diglio S, Elykov A, Farrell S, Ferella AD, Fischer H, Fulgione W, Gaemers P, Gaior R, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Higuera A, Hils C, Hiraide K, Hoetzsch L, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Kato N, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Landsman H, Lang RF, Levinson L, Li I, Liang S, Lindemann S, Lindner M, Liu K, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Manfredini A, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Ni K, Oberlack U, Palacio J, Peres R, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Reichard S, Rocchetti A, Rupp N, Sanchez L, Dos Santos JMF, Sartorelli G, Schreiner J, Schulte D, Schulze Eißing H, Schumann M, Lavina LS, Selvi M, Semeria F, Shagin P, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Therreau C, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Wei Y, Weinheimer C, Weiss M, Wenz D, Westermann J, Wittweg C, Wolf T, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhang Y, Zhong M, Zhu T, Zopounidis JP, Laubenstein M, Nisi S. Material radiopurity control in the XENONnT experiment. Eur Phys J C Part Fields 2022; 82:599. [PMID: 35821975 PMCID: PMC9270421 DOI: 10.1140/epjc/s10052-022-10345-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 04/19/2022] [Indexed: 11/18/2022]
Abstract
The selection of low-radioactive construction materials is of the utmost importance for rare-event searches and thus critical to the XENONnT experiment. Results of an extensive radioassay program are reported, in which material samples have been screened with gamma-ray spectroscopy, mass spectrometry, and \documentclass[12pt]{minimal}
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\begin{document}$$^{222}$$\end{document}222Rn emanation measurements. Furthermore, the cleanliness procedures applied to remove or mitigate surface contamination of detector materials are described. Screening results, used as inputs for a XENONnT Monte Carlo simulation, predict a reduction of materials background (\documentclass[12pt]{minimal}
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\begin{document}$$\sim $$\end{document}∼17%) with respect to its predecessor XENON1T. Through radon emanation measurements, the expected \documentclass[12pt]{minimal}
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\begin{document}$$^{222}$$\end{document}222Rn activity concentration in XENONnT is determined to be 4.2 (\documentclass[12pt]{minimal}
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\begin{document}$$^{+0.5}_{-0.7}$$\end{document}-0.7+0.5) \documentclass[12pt]{minimal}
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\begin{document}$$\upmu $$\end{document}μBq/kg, a factor three lower with respect to XENON1T. This radon concentration will be further suppressed by means of the novel radon distillation system.
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Affiliation(s)
- E Aprile
- Physics Department, Columbia University, New York, NY 10027 USA
| | - K Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka Hida, Gifu 506-1205 Japan
| | - F Agostini
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Ahmed Maouloud
- LPNHE, Sorbonne Université, Université de Paris, CNRS/IN2P3, 75005 Paris, France
| | - M Alfonsi
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - L Althueser
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - E Angelino
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Turin, Italy
| | - J R Angevaare
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands
| | - V C Antochi
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, 10691 Stockholm, Sweden
| | - D Antón Martin
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637 USA
| | - F Arneodo
- Particle and Planetary Physics, New York University Abu Dhabi-Center for Astro, Abu Dhabi, United Arab Emirates
| | - L Baudis
- Physik-Institut, University of Zürich, 8057 Zurich, Switzerland
| | - A L Baxter
- Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907 USA
| | - L Bellagamba
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - R Biondi
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - A Bismark
- Physik-Institut, University of Zürich, 8057 Zurich, Switzerland
| | - A Brown
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Bruenner
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands.,Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Bruno
- Particle and Planetary Physics, New York University Abu Dhabi-Center for Astro, Abu Dhabi, United Arab Emirates.,SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, 44307 Nantes, France
| | - R Budnik
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - C Capelli
- Physik-Institut, University of Zürich, 8057 Zurich, Switzerland
| | - J M R Cardoso
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - D Cichon
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - B Cimmino
- Department of Physics "Ettore Pancini", University of Napoli and INFN-Napoli, 80126 Naples, Italy
| | - M Clark
- Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907 USA
| | - A P Colijn
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands.,Institute for Subatomic Physics, Utrecht University, Utrecht, The Netherlands
| | - J Conrad
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, 10691 Stockholm, Sweden
| | - J J Cuenca-García
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - J P Cussonneau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, 44307 Nantes, France
| | - V D'Andrea
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy.,Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - M P Decowski
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands
| | - P Di Gangi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - S Di Pede
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands
| | - A Di Giovanni
- Particle and Planetary Physics, New York University Abu Dhabi-Center for Astro, Abu Dhabi, United Arab Emirates
| | - R Di Stefano
- Department of Physics "Ettore Pancini", University of Napoli and INFN-Napoli, 80126 Naples, Italy
| | - S Diglio
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, 44307 Nantes, France
| | - A Elykov
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Farrell
- Department of Physics and Astronomy, Rice University, Houston, TX 77005 USA
| | - A D Ferella
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy.,Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - H Fischer
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - W Fulgione
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Turin, Italy.,INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - P Gaemers
- Nikhef and the University of Amsterdam, Science Park, 1098XG Amsterdam, The Netherlands
| | - R Gaior
- LPNHE, Sorbonne Université, Université de Paris, CNRS/IN2P3, 75005 Paris, France
| | - M Galloway
- Physik-Institut, University of Zürich, 8057 Zurich, Switzerland
| | - F Gao
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing, 100084 China
| | - R Glade-Beucke
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Grandi
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637 USA
| | - J Grigat
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - A Higuera
- Department of Physics and Astronomy, Rice University, Houston, TX 77005 USA
| | - C Hils
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - K Hiraide
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka Hida, Gifu 506-1205 Japan
| | - L Hoetzsch
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - J Howlett
- Physics Department, Columbia University, New York, NY 10027 USA
| | - M Iacovacci
- Department of Physics "Ettore Pancini", University of Napoli and INFN-Napoli, 80126 Naples, Italy
| | - Y Itow
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602 Japan
| | - J Jakob
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - F Joerg
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - N Kato
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka Hida, Gifu 506-1205 Japan
| | - P Kavrigin
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - S Kazama
- Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602 Japan.,Institute for Advanced Research, Nagoya University, Nagoya, Aichi, 464-8601 Japan
| | - M Kobayashi
- Physics Department, Columbia University, New York, NY 10027 USA.,Kobayashi-Maskawa Institute for the Origin of Particles and the Universe, and Institute for Space-Earth Environmental Research, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8602 Japan
| | - G Koltman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - A Kopec
- Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907 USA
| | - H Landsman
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - R F Lang
- Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907 USA
| | - L Levinson
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - I Li
- Department of Physics and Astronomy, Rice University, Houston, TX 77005 USA
| | - S Liang
- Department of Physics and Astronomy, Rice University, Houston, TX 77005 USA
| | - S Lindemann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - M Lindner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - K Liu
- Department of Physics and Center for High Energy Physics, Tsinghua University, Beijing, 100084 China
| | - F Lombardi
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany.,LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - J Long
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637 USA
| | - J A M Lopes
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal.,Coimbra Polytechnic-ISEC, 3030-199 Coimbra, Portugal
| | - Y Ma
- Department of Physics, University of California San Diego, La Jolla, CA 92093 USA
| | - C Macolino
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy.,Department of Physics and Chemistry, University of L'Aquila, 67100 L'Aquila, Italy
| | - J Mahlstedt
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, 10691 Stockholm, Sweden
| | - A Mancuso
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - L Manenti
- Particle and Planetary Physics, New York University Abu Dhabi-Center for Astro, Abu Dhabi, United Arab Emirates
| | - A Manfredini
- Physik-Institut, University of Zürich, 8057 Zurich, Switzerland
| | - F Marignetti
- Department of Physics "Ettore Pancini", University of Napoli and INFN-Napoli, 80126 Naples, Italy
| | | | - K Martens
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka Hida, Gifu 506-1205 Japan
| | - J Masbou
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, 44307 Nantes, France
| | - D Masson
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - E Masson
- LPNHE, Sorbonne Université, Université de Paris, CNRS/IN2P3, 75005 Paris, France.,Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - S Mastroianni
- Department of Physics "Ettore Pancini", University of Napoli and INFN-Napoli, 80126 Naples, Italy
| | - M Messina
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - K Miuchi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501 Japan
| | - K Mizukoshi
- Department of Physics, Kobe University, Kobe, Hyogo 657-8501 Japan
| | - A Molinario
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - S Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka Hida, Gifu 506-1205 Japan
| | - K Morå
- Physics Department, Columbia University, New York, NY 10027 USA
| | - Y Mosbacher
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - M Murra
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - K Ni
- Department of Physics, University of California San Diego, La Jolla, CA 92093 USA
| | - U Oberlack
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Palacio
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - R Peres
- Physik-Institut, University of Zürich, 8057 Zurich, Switzerland
| | - J Pienaar
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637 USA
| | - M Pierre
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, 44307 Nantes, France
| | - V Pizzella
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - G Plante
- Physics Department, Columbia University, New York, NY 10027 USA
| | - J Qi
- Department of Physics, University of California San Diego, La Jolla, CA 92093 USA
| | - J Qin
- Department of Physics and Astronomy, Purdue University, West Lafayette, IN 47907 USA
| | - D Ramírez García
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - S Reichard
- Physik-Institut, University of Zürich, 8057 Zurich, Switzerland.,Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - A Rocchetti
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - N Rupp
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - L Sanchez
- Department of Physics and Astronomy, Rice University, Houston, TX 77005 USA
| | - J M F Dos Santos
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - G Sartorelli
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - J Schreiner
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - D Schulte
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - H Schulze Eißing
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Schumann
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - L Scotto Lavina
- LPNHE, Sorbonne Université, Université de Paris, CNRS/IN2P3, 75005 Paris, France
| | - M Selvi
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - F Semeria
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy
| | - P Shagin
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany.,Department of Physics and Astronomy, Rice University, Houston, TX 77005 USA
| | - E Shockley
- Department of Physics, University of California San Diego, La Jolla, CA 92093 USA
| | - M Silva
- LIBPhys, Department of Physics, University of Coimbra, 3004-516 Coimbra, Portugal
| | - H Simgen
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - A Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka Hida, Gifu 506-1205 Japan
| | - P L Tan
- Oskar Klein Centre, Department of Physics, Stockholm University, AlbaNova, 10691 Stockholm, Sweden
| | - A Terliuk
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - C Therreau
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, 44307 Nantes, France
| | - D Thers
- SUBATECH, IMT Atlantique, CNRS/IN2P3, Université de Nantes, 44307 Nantes, France
| | - F Toschi
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - G Trinchero
- INAF-Astrophysical Observatory of Torino, Department of Physics, University of Torino and INFN-Torino, 10125 Turin, Italy
| | - C Tunnell
- Department of Physics and Astronomy, Rice University, Houston, TX 77005 USA
| | - F Tönnies
- Physikalisches Institut, Universität Freiburg, 79104 Freiburg, Germany
| | - K Valerius
- Institute for Astroparticle Physics, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - G Volta
- Physik-Institut, University of Zürich, 8057 Zurich, Switzerland
| | - Y Wei
- Department of Physics, University of California San Diego, La Jolla, CA 92093 USA
| | - C Weinheimer
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - M Weiss
- Department of Particle Physics and Astrophysics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - D Wenz
- Institut für Physik & Exzellenzcluster PRISMA+, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany
| | - J Westermann
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - C Wittweg
- Institut für Kernphysik, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
| | - T Wolf
- Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany
| | - Z Xu
- Physics Department, Columbia University, New York, NY 10027 USA
| | - M Yamashita
- Kamioka Observatory, Institute for Cosmic Ray Research, and Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Higashi-Mozumi, Kamioka Hida, Gifu 506-1205 Japan
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, CA 92093 USA
| | - J Ye
- Physics Department, Columbia University, New York, NY 10027 USA
| | - L Yuan
- Department of Physics and Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637 USA
| | - G Zavattini
- Department of Physics and Astronomy, University of Bologna and INFN-Bologna, 40126 Bologna, Italy.,INFN, Sez. di Ferrara and Dip. di Fisica e Scienze della Terra, Università di Ferrara, via G. Saragat 1, Edificio C, 44122 Ferrara, Italy
| | - Y Zhang
- Physics Department, Columbia University, New York, NY 10027 USA
| | - M Zhong
- Department of Physics, University of California San Diego, La Jolla, CA 92093 USA
| | - T Zhu
- Physics Department, Columbia University, New York, NY 10027 USA
| | - J P Zopounidis
- LPNHE, Sorbonne Université, Université de Paris, CNRS/IN2P3, 75005 Paris, France
| | | | - M Laubenstein
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
| | - S Nisi
- INFN-Laboratori Nazionali del Gran Sasso and Gran Sasso Science Institute, 67100 L'Aquila, Italy
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25
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Alfonsi M, Althueser L, Angelino E, Angevaare J, Antochi V, Antón Martin D, Arneodo F, Baudis L, Baxter A, Bellagamba L, Bernard A, Biondi R, Bismark A, Brown A, Bruenner S, Bruno G, Budnik R, Capelli C, Cardoso J, Cichon D, Cimmino B, Clark M, Colijn A, Conrad J, Cuenca-García J, Cussonneau J, D’Andrea V, Decowski M, Di Gangi P, Di Pede S, Di Giovanni A, Di Stefano R, Diglio S, Elykov A, Farrell S, Ferella A, Fischer H, Fulgione W, Gaemers P, Gaior R, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Higuera A, Hils C, Hoetzsch L, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Landsman H, Lang R, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Lombardi F, Long J, Lopes J, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Manfredini A, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Peres R, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Reichard S, Rocchetti A, Rupp N, Sanchez L, dos Santos J, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Wei Y, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhang Y, Zhong M, Zhu T, Zopounidis J. Emission of single and few electrons in XENON1T and limits on light dark matter. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.022001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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26
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Tian F, Qi J, Qian Z, Li H, Wang L, Wang C, Geiger SD, McMillin SE, Yin P, Lin H, Zhou M. Differentiating the effects of air pollution on daily mortality counts and years of life lost in six Chinese megacities. Sci Total Environ 2022; 827:154037. [PMID: 35192816 DOI: 10.1016/j.scitotenv.2022.154037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 02/04/2022] [Accepted: 02/16/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Ambient air pollution has been widely associated with increased mortality and years of life lost (YLL) from various diseases. However, no study has assessed that the effects of air pollution on overall YLL were due to increased number of mortalities or average YLL per death. METHODS We first conducted a time-series study from 2013 to 2016, covering six Chinese megacities. Generalized additive models with a Gaussian link were utilized to estimate the associations of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) with daily overall YLL and average YLL per death from various causes, including non-accidental causes, cardiovascular diseases (CVD), respiratory diseases (RD), ischemic heart disease (IHD), chronic obstructive pulmonary diseases (COPD), stroke and acute myocardial infraction (AMI). The city-specific estimates were then pooled by random-effects meta-analysis. RESULTS A total of 1,586,741 deaths from non-accidental causes and 21,916,857 YLLs were recorded in the six cities, providing an average of 13.81 daily YLLs per death. Significant effects of PM2.5 and NO2 on daily overall YLL and daily mortality count were observed, but there were no significant effects on average YLL per death. At the pooled level, each 10 μg/m3 increase in PM2.5 and NO2 was associated with increased YLL and higher mortality due to non-accidental causes [PM2.5: 5.45 years, 95% CI: 1.47, 9.42 and ERR (excess relative risk) = 0.25%, 95% CI: 0.14%, 0.35%; NO2: 20.46 years, 95% CI: 10.77, 30.15 and ERR = 1.13%, 95% CI: 0.63%, 1.63%]. Consistent results and patterns were observed for other cause-specific diseases, including IHD, COPD, stroke and AMI. CONCLUSIONS Our study indicates observed associations between air pollution and YLL might be mainly induced by increasing mortality count, rather than increasing average life lost for each death. More relevant intervention should be performed to reduce the number of deaths due to air pollution.
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Affiliation(s)
- Fei Tian
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Zhengmin Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, USA
| | - Huan Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China
| | - Sarah Dee Geiger
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Khan Annex, 1206 S. Fourth St, Champaign, IL 61820, USA
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Tegeler Hall, 3550 Lindell Boulevard, St. Louis. MO 63103, USA
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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27
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Liu W, Qi J, Liu J, Song Y, Wang L, Zhou M, Ma J, Zhu J. Mortality Rate of Lymphoma in China, 2013–2020. Front Oncol 2022; 12:902643. [PMID: 35747821 PMCID: PMC9209711 DOI: 10.3389/fonc.2022.902643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 05/17/2022] [Indexed: 12/24/2022] Open
Abstract
Lymphoma is a malignant disease that threatens human health and imposes a significant burden on the society burden; however, there are limited accurate mortality data on lymphoma in China. The present study aimed to analyse lymphoma-associated mortality at the national and provincial levels in mainland China. Mortality data of lymphoma was extracted from the disease surveillance system of the Chinese Center for Disease Control and Prevention. Mortality was represented by the number of deaths, crude mortality rate, and age-standardized mortality rate. Temporal trends in mortality rates were examined using the fitting joinpoint models. Lymphoma accounted for 31,225 deaths in 2020, of which 1,838 and 29,387 were due to Hodgkin lymphoma (HL) and non-Hodgkin lymphoma (NHL), respectively. The age-standardized mortality rate per 100,000 population was 1.76 for lymphoma, 0.10 for HL, and 1.66 for NHL. The mortality rate increased with age, reaching a peak in the age group of 80–84 years for HL and over 85 years for NHL. Moreover, the death risk due to lymphoma was approximately 1.5–2 times greater in males than in females in all age groups. The mortality rate was higher in eastern China than in central and western China, indicating a heterogeneous distribution at the provincial level. During 2013–2020, the mortality rate of lymphoma decreased by 1.85% (−22.94% for HL and −0.14% for NHL). In conclusion, the mortality of lymphoma varied by sex, age, and regions, which highlighted the need of establish differentiated strategy for disease control and prevention.
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Affiliation(s)
- Weiping Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuqin Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital and Institute, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- *Correspondence: Maigeng Zhou, ; Jun Ma, ; Jun Zhu,
| | - Jun Ma
- Department of Hematology & Oncology, Harbin Institute of Hematology & Oncology, Harbin, China
- *Correspondence: Maigeng Zhou, ; Jun Ma, ; Jun Zhu,
| | - Jun Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Lymphoma, Peking University Cancer Hospital and Institute, Beijing, China
- *Correspondence: Maigeng Zhou, ; Jun Ma, ; Jun Zhu,
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28
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Yin P, Wu J, Wang L, Luo C, Ouyang L, Tang X, Liu J, Liu Y, Qi J, Zhou M, Lai T. The Burden of COPD in China and Its Provinces: Findings From the Global Burden of Disease Study 2019. Front Public Health 2022; 10:859499. [PMID: 35757649 PMCID: PMC9215345 DOI: 10.3389/fpubh.2022.859499] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 05/09/2022] [Indexed: 11/29/2022] Open
Abstract
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.
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Affiliation(s)
- Peng Yin
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiayuan Wu
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Lijun Wang
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chaole Luo
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Lihuan Ouyang
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Xiantong Tang
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
| | - Jiangmei Liu
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yunning Liu
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlei Qi
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Maigeng Zhou
| | - Tianwen Lai
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
- *Correspondence: Tianwen Lai
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Wang W, Liu Y, Ye P, Xu C, Qiu Y, Yin P, Liu J, Qi J, You J, Lin L, Wang L, Li J, Shi W, Zhou M. Spatial variations and social determinants of life expectancy in China, 2005-2020: A population-based spatial panel modelling study. Lancet Reg Health West Pac 2022; 23:100451. [PMID: 35465044 PMCID: PMC9019400 DOI: 10.1016/j.lanwpc.2022.100451] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
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).
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Key Words
- AIC, Akaike Information Criterion
- CI, confidence interval
- China
- DSPs, Disease Surveillance Points system
- LE, life expectancy
- LM test, Lagrange Multiplier test
- LR, Likelihood ratio
- Life expectancy
- NMSS, National Mortality Surveillance System
- OLS, ordinary least square
- Population strategy
- SBIC, Schwarz's Bayesian Information Criterion
- SD, standard deviation
- SDOH, social determinants of health
- SPAR, spatial panel autoregressive regression model
- SPDM, spatial panel Durbin model
- SPEM, spatial panel error model
- Social determinants of health
- Spatial spillover effects
- Spatial variations
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Affiliation(s)
- Wei Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Pengpeng Ye
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Chengdong Xu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, China
| | - Yun Qiu
- Institute for Economic and Social Research, Jinan University, Guangzhou, Guangdong, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinling You
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Lin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Junming Li
- School of Statistics, Shanxi University of Finance and Economics, Taiyuan, Shanxi, China
| | - Wei Shi
- Institute for Economic and Social Research, Jinan University, Guangzhou, Guangdong, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Jiang Y, Wu X, Liao Z, Qi J, Gu J. AB1043 IDENTIFICATION OF UNUSUAL TOPHI ANTERIOR TO THE THYROID CARTILAGE USING DIFFERENT IMAGING METHODS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundInadequately treated gout patients could develop tophi. However, tophi could appear as atypical mass, leading to difficulty in differential diagnosis.ObjectivesThe objectives of the study were to describe an unusual case with tophi anterior to the Thyroid Cartilage using different imaging methods.MethodsClinical information of the case was presented. Ultrasound, dual energy Computed Tomography (DECT) and CT scan were compared to describe the tophi.ResultsA 66-year-old man with a 30-year history of gout was admitted. He had received urate-lowering drugs intermittently over the past few years. Physical examination revealed multiple tophi on the hands, feet, and other auricular surfaces. Moreover, there was a subcutaneous mass above the thyroid cartilage (Figure 1A). Ultrasound revealed hyperechoic nodule anterior to the thyroid cartilage, 11*7cm in size, with uneven internal echo, no blood flow signal inside, and a close relationship between the barrier of the nodule and the thyroid cartilage (Figure 1B). DECT of the neck confirmed that the mass anterior to the thyroid cartilage were tophi (Figure 1C-D). A plain radiographic evaluation demonstrated soft-tissue swellings and para-articular erosions involving hands (Figure 1E-F). The serum creatinine and uric acid levels were elevated as follows, creatinine, 562 μmol per liter (normal range, 31.8 to 116); and uric acid, 621 μmol per liter (normal range, 90 to 420).Figure 1.Tophi detected by different imaging methods. A.A picture of the mass anterior to the thyroid cartilage; B. A mass anterior to the thyroid cartilage detected by ultrasound; C. The mass anterior to the thyroid cartilage detected by dual energy CT; D. The mass anterior to the thyroid cartilage detected by CT scan; E. a picture of tophi in the hands; F. a plain radiograph of tophi in the hands.ConclusionDECT has more advantages over ultrasound and CT for detection of atypical tophi in gout patients.Disclosure of InterestsYutong Jiang Grant/research support from: Scientific and Technological Planning Project of Guangzhou City [grant number 202102020150], Xinyu Wu: None declared, Zetao Liao: None declared, Jun Qi: None declared, Jieruo Gu: None declared
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Liu JJ, Zhang Y, Qi J, Zeng FY, Li NL. Effect of rehabilitation on the long-term efficacy of botulinum toxin-A for spastic cerebral palsy. Eur Rev Med Pharmacol Sci 2022; 26:3927-3932. [PMID: 35731062 DOI: 10.26355/eurrev_202206_28961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE To investigate the long-term effects of botulinum toxin-A (BTX-A) nerve block on relaxation of spasticity in cerebral palsy. PATIENTS AND METHODS From June 2015 to December 2018, 52 children, aged 20-56 months, with spastic cerebral palsy were treated with BTX-A. The dose of BTX-A was selected based on the weight of the child and the modified Ashworth scale (MAS). The injection dose ranged from 45 IU to 150 IU (average 68.0±31.6 IIU). The muscle tone and motor functions of all children were evaluated before the block. The spasticity was measured using the MAS, and the motor function was measured using the Physician Rating Scale (PRS) and the gross motor function measure (GMFM). After two years, all children were re-evaluated. RESULTS No significant difference was observed between the trial and control groups in terms of age, weight, MAS, PRS, and GMFM measurements before the block (p>0.05). The PRS and GMFM improved significantly in both groups after two years (p<0.05). The PRS and GMFM in the trial group increased more significantly than those in the control group (p<0.05). CONCLUSIONS The BTX-A block showed a long-term positive effect. Rehabilitation training after the block could help children to improve their motor functions.
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Affiliation(s)
- J-J Liu
- Capital Medical University School of Rehabilitation Medicine, China Rehabilitation Research Centre, Beijing, China.
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Li R, Qi J, Yang Y, Wu Y, Yin P, Zhou M, Qian Z, LeBaige MH, McMillin SE, Guo H, Lin H. Disease Burden and Attributable Risk Factors of Alzheimer's Disease and Dementia in China from 1990 to 2019. J Prev Alzheimers Dis 2022; 9:306-314. [PMID: 35543004 DOI: 10.14283/jpad.2021.69] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
BACKGROUND Updated information on the burden of Alzheimer's disease and other forms of dementia are of great importance for evidence-based health care planning. However, such an estimate has been lacking in Chinese populations at both national and provincial levels. OBJECTIVE To estimate the temporal trends and the attributable burdens of selected risk factors of Alzheimer's disease and other forms of dementia in China. DESIGN, SETTING, AND PARTICIPANTS This is an observational description of the Global Burden of Diseases Study 2019 (GBD 2019). Data on incidence, mortality, prevalence, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs) of Alzheimer's disease and other forms of dementia were derived from the GBD 2019 study at both national and provincial levels in China. MEASUREMENTS Six indicators were used: incidence, mortality, prevalence, DALYs, YLLs, and YLDs. Absolute numbers in detail by age, sex, region, and age-standardized rates (with 95% uncertainty intervals) were calculated. RESULTS There were notable increasing trends in the number of deaths (247·9%), incidence (264·8%), prevalence (296·5%), DALYs (228·1%), YLDs (308·7%) and YLLs (201·7%) from 1990 to 2019, respectively. The corresponding age-standardized rates increased by 6·2%, 19·3%, 33·6%, 10·7%, 33·4% and 3·1%. Smoking, high body mass index, high fasting plasma glucose levels, and metabolic risks were the four leading risk factors. Higher burden was observed among females versus males and in the more developed regions. CONCLUSIONS The disease burden in China were increasing substantially. Regional differences of the disease burden are accompanied by discrepancies of economic level and geographical location, as well as different levels of exposure to risk factors. Targeted prevention and control strategies are urgently needed to reduce the disease burden.
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Affiliation(s)
- R Li
- Haoyan Guo, PhD, National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China, ; Hualiang Lin, PhD, School of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-sen Road, Yuexiu District, Guangzhou, 510080, P. R. China,
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Wang W, Liu Y, Ye P, Liu J, Yin P, Qi J, You J, Lin L, Wang F, Wang L, Huo Y, Zhou M. Trends and associated factors in place of death among individuals with cardiovascular disease in China, 2008-2020: A population-based study. The Lancet Regional Health - Western Pacific 2022; 21:100383. [PMID: 35540560 PMCID: PMC9079349 DOI: 10.1016/j.lanwpc.2022.100383] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Background Cardiovascular disease (CVD) is the leading cause of death (COD) in China. Understanding the characteristics of place of death (POD) among CVD deaths would be of great importance to evaluate the healthcare service utilization at the end stage of life. Limited studies have reported the POD distribution among CVD deaths, and little was known about the associated factors of hospital CVD deaths. Methods By using data from National Mortality Surveillance System (NMSS) in China, this study presented the characteristics of POD distribution during 2008 and 2020. Afterwards, multilevel logistic regression was used to explore associated factors of hospital CVD deaths and quantify the magnitude to which the spatial variations of hospital CVD deaths could be explained by those associated factors. Findings During 2008-2020, there was 7101871 CVD deaths collected by NMSS in China, with 77·13% home deaths and 18·49% hospital deaths. Shanghai (59·40%) had the highest percentage of hospital CVD deaths. Age, sex, ethnicity, marital status, education, occupation, underlying COD were significant influential factors of hospital CVD deaths. Spatial variations were shown at provincial level, with 33·88% of them being explained by factors at individual level. Interpretation Home was the leading POD among CVD deaths in China, those CVD decedents characterized as the female, the youngest, Han population, the married, the retiree, lived in urban areas, with higher socioeconomic status and died of chronic CVDs had a higher probability of hospital deaths. Providing accessible and available healthcare services were priorities to improve quality of end-of-life care, significant variations among provinces and sub-population also reminded us of the requirements for equal healthcare resources allocation and multiple options for minorities of POD preference at the end stage of life. Funding National Key Research & Development Program of China (grant number 2018YFC1315301)
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Affiliation(s)
- Wei Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Pengpeng Ye
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinling You
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Lin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feixue Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China
- Prof. Yong Huo, Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China, Tel: 010-83575725, Fax: 010-66551211
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Correspondence to Prof. Maigeng Zhou, National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, 100050, China, Tel: 86-10-63041471, Fax: 86-10-63042350.
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Abstract
Some oral squamous cell carcinomas (OSCCs) originate from preexisting oral potentially malignant disorders (OPMDs). Oral leukoplakia (OLK) is the most common and typical OPMD in the clinic, so treatment for it is essential to reduce OSCC incidence. Local chemotherapy is an option other than surgery considering the superficial site of OLK. However, there are no standardized drugs applied to OLK, and traditionally used chemotherapeutic drugs revealed limited efficacy for lack of adhesion. Hence, there is a growing demand to prepare new agents that combine mucoadhesion with an anti-OLK effect. Here, an isoguanosine-tannic acid (isoG-TA) supramolecular hydrogel via dynamic borate esters was successfully fabricated based on isoG and TA. Previously reported guanosine-TA (G-TA) hydrogel was also explored for an anti-OLK effect. Both gels not only exhibited ideal adhesive properties but also integrated anti-OLK activities in one system. In vitro cell viability indicated that isoG and TA inhibited the proliferation of dysplastic oral keratinocytes (DOKs). The in vivo OLK model evidence revealed that both gels showed potential to prevent OLK canceration. In addition, the probable anti-DOK mechanisms of isoG and TA were investigated. The results indicated that isoG could bind to adenosine kinase (ADK) and then affected the mammalian target of rapamycin (mTOR) pathway to inhibit DOK proliferation. TA could significantly and continuously reduce reactive oxygen species (ROS) in DOKs through its antioxidant effect. ROS plays an important role in the progression of cell cycle. We proved that the low level of ROS may inhibit DOK proliferation by inducing G0/G1 arrest in the cell cycle. Altogether, this study innovatively fabricated an isoG-TA hydrogel with ideal adhesion, and both isoG and TA showed in vitro inhibition of DOKs. Moreover, both isoG-TA and G-TA hydrogels possessed potential in delaying the malignant transformation of OLK, and the G-TA hydrogel showed a better statistical effect, providing an effective strategy for controlling OLK.
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Affiliation(s)
- T Ding
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
| | - J Zou
- West China Hospital, Sichuan University, Chengdu, Sichuan, P. R. China
| | - J Qi
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
| | - H Dan
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
| | - F Tang
- The Affiliated Hospital of Stomatology, School of Stomatology, Zhejiang University School of Medicine and Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, P. R. China
| | - H Zhao
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Q Chen
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
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Qi J, Guan D, Nutter J, Wang B, Rainforth W. Insights into tribofilm formation on Ti-6V-4Al in a bioactive environment: Correlation between surface modification and micro-mechanical properties. Acta Biomater 2022; 141:466-480. [PMID: 35063707 DOI: 10.1016/j.actbio.2022.01.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/16/2021] [Accepted: 01/14/2022] [Indexed: 12/28/2022]
Abstract
Ti-6Al-4V has been used as a surgical implant material for a long time because of its combination of strength, corrosion resistance and biocompatibility. However, there remains much that is not understood about how the surface reacts with the environment under tribocorrosion conditions. In particular, the conditions under which tribofilms form and their role on friction and wear are not clear. To evaluate the complicated nature of the dynamic surface microstructural changes on the wear track, high resolution transmission electron microscopy (TEM), scanning transmission electron microscope (STEM) and electron energy loss spectroscopy (EELS) have been used to characterise the structure and chemical composition of the tribofilm. Detailed analysis of the formation and structure of the tribofilm and the metal surface deformation behaviour were studied as a function of applied potential and the role of proteins in the lubricant. For the first time, graphitic and onion-like carbon structures from wear debris were found in the testing solution. The presence of carbon nanostructures in the tribocorrosion process and the formation of the tribofilm leads to an improved tribocorrosion behaviour of the system, in particular a reduction in wear and friction. A detailed, quantitative, analysis of surface deformation was undertaken, in particular, the geometrically necessary dislocation (GND) density was quantified using precession electron diffraction (PET). A clear correlation between applied potential, tribofilm formation and the surface strain was established. STATEMENT OF SIGNIFICANCE: The formation of tribofilm and microstructure modification of the Ti-6Al-4V surface during tribocorrosion in a physiological environment is not fully understood. In particular, the correlation between microstructural changes and electrochemical conditions is not clear. This study presents a detailed investigation of the structure and chemical composition of tribofilms at the nanoscale during tribocorrosion tests in simulated body fluid and gives a detailed and quantitative description of the evolved surface structure. A clear correlation between applied potential, tribofilm formation and the surface strain was established. Moreover, particular attention is paid to the wear debris particles captured from the lubricating solution, including nanocarbon onion structures. The implications for tribocorrosion of the alloy in its performance as an implant are discussed.
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Long Z, Wang W, Liu W, Wang F, Meng S, Liu J, Liu Y, Qi J, Wang L, Zhou M, Yin P. Trend of nasopharyngeal carcinoma mortality and years of life lost in China and Its Provinces from 2005 to 2020. Int J Cancer 2022; 151:684-691. [DOI: 10.1002/ijc.33998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 12/24/2022]
Affiliation(s)
- Zheng Long
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Wei Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Wei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Feixue Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Shidi Meng
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing People’s Republic of China
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Ren R, Qi J, Lin S, Liu X, Yin P, Wang Z, Tang R, Wang J, Huang Q, Li J, Xie X, Hu Y, Cui S, Zhu Y, Yu X, Wang P, Zhu Y, Wang Y, Huang Y, Hu Y, Wang Y, Li C, Zhou M, Wang G. The China Alzheimer Report 2022. Gen Psychiatr 2022; 35:e100751. [PMID: 35372787 PMCID: PMC8919463 DOI: 10.1136/gpsych-2022-100751] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 02/23/2022] [Indexed: 01/22/2023] Open
Abstract
China’s population has rapidly aged over the recent decades of social and economic development as neurodegenerative disorders have proliferated, especially Alzheimer’s disease (AD) and related dementias (ADRD). AD’s incidence rate, morbidity, and mortality have steadily increased to make it presently the fifth leading cause of death among urban and rural residents in China and magnify the resulting financial burdens on individuals, families and society. The ‘Healthy China Action’ plan of 2019–2030 promotes the transition from disease treatment to health maintenance for this expanding population with ADRD. This report describes related epidemiological trends, evaluates the economic burden of the disease, outlines current clinical diagnosis and treatment status and delineates existing available public health resources. More specifically, it examines the public health impact of ADRD, including prevalence, mortality, costs, usage of care, and the overall effect on caregivers and society. In addition, this special report presents technical guidance and supports for the prevention and treatment of AD, provides expertise to guide relevant governmental healthcare policy development and suggests an information platform for international exchange and cooperation.
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Affiliation(s)
- Rujing Ren
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shaohui Lin
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinya Liu
- School of Public Health, Fudan University, Shanghai, China
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhihui Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ran Tang
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jintao Wang
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qiang Huang
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianping Li
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinyi Xie
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongbo Hu
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shishuang Cui
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan Zhu
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoping Yu
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pengfei Wang
- School of Public Health, Fudan University, Shanghai, China
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Yikang Zhu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiran Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanyan Huang
- Department of Geriatrics, Huashan Hospital, Fudan University, Shanghai, China
| | - Yisong Hu
- National Survey Research Center, Renmin University of China, Beijing, China
| | - Ying Wang
- School of Public Health, Fudan University, Shanghai, China
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Gang Wang
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhang K, Qi J, Zuo P, Yin P, Liu Y, Liu J, Wang L, Li L. The mortality trends of falls among the elderly adults in the mainland of China, 2013-2020: A population-based study through the National Disease Surveillance Points system. Lancet Reg Health West Pac 2022; 19:100336. [PMID: 35257118 PMCID: PMC8897056 DOI: 10.1016/j.lanwpc.2021.100336] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Fall in elderly is a major public health problem. Characterizing trends in fall mortality in different subpopulations could help identifying the needs and developing preventive program for target groups. Here we evaluated the trends of fall-related deaths in Chinese mainland among adults aged ≥60 years specific in sex, age, and provinces, to measure the change in this mortality rate between 2013 and 2020, and to explore the underlying factors influencing this change. METHODS Mortality data were retrieved from the National Disease Surveillance Points system(DSPs) of China, a national-level and provincial-level representative data source, to estimate the impact of elderly falls on mortality in the mainland of China and the specific provinces from 2013 to 2020. The joinpoint regression model was used to estimate the temporal trend of mortality in elderly fallen by calculating the annual percentage change (APC). FINDINGS The age-standardized falls mortality was 10·438 per 100 000 in 2020. The age-standardized mortality of elderly falls in total and female showed a steady increasing trend (APC=1·96%, p = 0·023 total; APC=3·42%, p = 0·003 female), with it was stable in males (APC=1.26%, p>0·05). Fall mortality among the elderly was more common in people over 70 years of age and increased sharply. The death rates and APCs were highest among the oldest age groups(aged≥85 years). The higher fall mortality was mainly focused in the southeast and central regions, and lower rates were in the northeast provinces and Tibet. INTERPRETATION Since 2013, the overall fall-related mortality trend among individuals aged ≥60 years has been consistently increasing in China, making it most critical public health challenge. Adherence interventions and increased social support for those at most risk should be considered. FUNDING None.
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Affiliation(s)
- Kaiting Zhang
- Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, Guangdong Province, China
- School of Public Health, Shantou University, Shantou 515041, Guangdong Province, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Peijun Zuo
- Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, Guangdong Province, China
- School of Public Health, Shantou University, Shantou 515041, Guangdong Province, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Liping Li
- Injury Prevention Research Center, Shantou University Medical College, Shantou 515041, Guangdong Province, China
- School of Public Health, Shantou University, Shantou 515041, Guangdong Province, China
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Butaney M, Johnson A, Qi J, Patel A, Noyes S, Brede C, Seifman B, Maatman T, Rogers C, Lane B. Evaluation of an uncomplicated recovery after nephrectomy: MUSIC-KIDNEY NOTES (Notable Outcomes and Trackable Events after Surgery). Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00230-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Butaney M, Patel A, Qi J, Singh K, Johnson A, Levy A, Noyes S, Ghani K, Rogers C, Lane B. Assessing renal mass management of patients with increased comorbidities: Results from a statewide registry. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00306-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Butaney M, Johnson A, Bulusu A, Gandham D, Qi J, Jamil M, Patel A, Noyes S, Anema J, Levin M, Rosenberg B, Lane B, Rogers C. Reducing post-operative emergency department visits and readmissions after nephrectomy: An initial evaluation of the MUSIC-KIDNEY registry. Eur Urol 2022. [DOI: 10.1016/s0302-2838(22)00232-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Wang B, Wang Q, Wang N, Qi J, Wu J. Cancer Mortality and Cause Eliminated Life Expectancy in Key Areas of Four Provinces — China, 2008–2018. China CDC Wkly 2022; 4:317-321. [PMID: 35548453 PMCID: PMC9081895 DOI: 10.46234/ccdcw2022.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 03/11/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Cancer is a major health problem in China. Integrated interventions have been implemented in key areas of Anhui, Henan, Jiangsu, and Shandong provinces with historically higher than average cancer mortality. Assessing the cancer mortality trend and its impact on life expectancy (LE) could help evaluate the effectiveness of interventions in these regions. Methods Based on the National Cause-of-Death Surveillance, we analyzed the standardized mortality rate (SMR) of cancer, cause eliminated life expectancy (CELE), potential gains in life expectancy (PGLEs), and rate of life lost in key areas of 4 provinces from 2008 to 2018. Joinpoint program was used to compute the average annual percentage change (AAPC) of cancer mortality. Arriaga’s decomposition method was used to estimate the contribution of cancer to LE in each age group. Results From 2008 to 2018, cancer SMR decreased in the study region (AAPC=−3.09%, P<0.001), which increased LE. The positive effect was the greatest in the 75–79 age group (0.120 years, 2.90%), and the negative effect was the greatest in the 50–54 age group (–0.094 years, −2.20%). Compared to 2008, cancer CELE increased by 3.95 years, PGLEs increased by 0.32 years, and rate of life lost increased by 0.21% in 2018.
Conclusions Cancer SMR decreased in key areas of 4 provinces from 2008 to 2018. This change had a positive effect on the increase of LE. However, the rate of life lost due to cancer increased. Integrated interventions should continue to further reduce the cancer burden.
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Affiliation(s)
- Baohua Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qiutong Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ning Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jing Wu
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- Jing Wu,
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Wang F, Wang W, Yin P, Liu Y, Liu J, Wang L, Qi J, You J, Lin L, Zhou M. Mortality and Years of Life Lost in Diabetes Mellitus and Its Subcategories in China and Its Provinces, 2005-2020. J Diabetes Res 2022; 2022:1609267. [PMID: 35493611 PMCID: PMC9054436 DOI: 10.1155/2022/1609267] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 03/17/2022] [Accepted: 03/18/2022] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES To analyze diabetes mellitus (DM) mortality and years of life lost (YLL) in different years and different subgroups at the national and regional levels in China from 2005 to 2020. METHODS We estimated mortality and YLL of DM and its subcategories for 31 provinces in China during 2005-2020 using multisource data from the National Mortality Surveillance System (NMSS). RESULTS The age standardized mortality rate (ASMR) of DM increased from 12.18 per 100,000 in 2005 to 13.62 per 100,000 in 2020, which was an increase of 11.86%. The ASMR of type 2 diabetes mellitus (T2DM) was much higher than that of type 1 diabetes mellitus (T1DM). The ASMR of T1DM remained stable, but the rate of T2DM increased, and the increase in male patients was higher than that in their female counterparts. At the same time, the burden of premature death was highest in the group ≥ 80 years old, and ASMR increased from 236.02 per 100,000 in 2005 to 358.86 per 100,000 in 2020. In 2005, the eastern region had the highest ASMR of DM, but the western region's ASMR grew faster and eventually became the highest in 2020. In addition, the YLL rate in the eastern region showed a downward trend; however, in the middle and western regions the YLL rate continued to rise, with that of the western region rapidly increasing. CONCLUSION A dramatically upward trend in DM deaths can be seen in China from 2005 to 2020. DM remains a chronic disease in urgent need of prevention and control, especially in the elderly and people in less-affluent provinces. We must put forward more targeted policies to effectively allocate medical resources and focus on high-risk groups to reduce the premature-mortality burden of DM and its subcategories.
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Affiliation(s)
- Feixue Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlin You
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Lin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Ning Y, Roberts NJ, Qi J, Peng Z, Long Z, Zhou S, Gu J, Hou Z, Yang E, Ren Y, Lang J, Liang Z, Zhang M, Ma J, Jiang G. Inbreeding status and implications for Amur tigers. Anim Conserv 2021. [DOI: 10.1111/acv.12761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Y. Ning
- College of Life Science Jilin Agricultural University Changchun China
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - N. J. Roberts
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - J. Qi
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
- School of Forestry Northeast Forestry University Harbin China
| | - Z. Peng
- School of Basic Medical Sciences Nanchang University Nanchang China
| | - Z. Long
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - S. Zhou
- Heilongjiang Research Institute of Wildlife Harbin China
| | - J. Gu
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - Z. Hou
- College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - E. Yang
- Wildlife Conservation Society Hunchun China
| | - Y. Ren
- Wildlife Conservation Society Hunchun China
| | - J. Lang
- Jilin Hunchun Amur Tiger National Nature Reserve Hunchun China
| | - Z. Liang
- Heilongjiang Laoyeling Amur Tiger National Nature Reserve Dongning China
| | - M. Zhang
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - J. Ma
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
| | - G. Jiang
- Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected Area Northeast Forestry University Harbin China
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Cheng Y, Wang Z, Li Y, Qi J, Liu J. Left bundle branch pacing in heart failure patients with left bundle branch block: a systematic review and meta-analysis. Pacing Clin Electrophysiol 2021; 45:212-218. [PMID: 34766359 DOI: 10.1111/pace.14405] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 10/22/2021] [Accepted: 11/07/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND The clinical benefit of cardiac resynchronization therapy (CRT) in heart failure patients with left bundle branch block (LBBB) has been demonstrated. However, a non-response rate of CRT nearly 1/3. Recent studies have reported left bundle branch pacing (LBBP) has achieved remarkable effect in CRT. This study aim to explore the efficacy and safety of LBBP in heart failure patients with LBBB. METHODS We searched PubMed, Cochrane Library, Web of science and CNKI databases for studies about LBBP in heart failure patients with LBBB. QRS duration (QRSd), New York Heart Association (NYHA) classification, B-type natriuretic peptide (BNP) concentration, left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDD), pacing threshold and other related data were extracted and summarized. RESULTS A total of 6 studies were included, and the success rate of LBBP was 93.2%. Compared with baseline, LBBP could shorten QRSd (MD = 61.23, 95%CI: 58.21 ∼ 64.25, P < 0.01). Echocardiographic parameters including LVEF and LVEDD significantly improved (both with P < 0.01). Clinical outcomes including NYHA classification and BNP dramatically reduced (both with P < 0.01). Compared with biventricular pacing (BVP), LBBP could further improve QRSd, LVEF, LVEDD, and NYHA classification (all with P < 0.01). However, the pacing threshold at follow-up was 0.06V higher than that at baseline (P < 0.01), and the incidence of complications was 2.4%. CONCLUSIONS LBBP is effective and safe in heart failure patients with LBBB, whether it is better than BVP needs to be verified by randomized controlled trials. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Yuda Cheng
- Affiliated Hospital of Hebei University, Baoding, Hebei, 071000, China
| | - Zhanqi Wang
- Affiliated Hospital of Hebei University, Baoding, Hebei, 071000, China
| | - Yujun Li
- Affiliated Hospital of Hebei University, Baoding, Hebei, 071000, China
| | - Jinlei Qi
- Affiliated Hospital of Hebei University, Baoding, Hebei, 071000, China
| | - Jinyu Liu
- Affiliated Hospital of Hebei University, Baoding, Hebei, 071000, China
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Liu W, Wang W, Liu J, Liu Y, Meng S, Wang F, Long Z, Qi J, You J, Lin L, Wang L, Zhou M, Yin P. Trend of Mortality and Years of Life Lost Due to Chronic Obstructive Pulmonary Disease in China and Its Provinces, 2005-2020. Int J Chron Obstruct Pulmon Dis 2021; 16:2973-2981. [PMID: 34744434 PMCID: PMC8565891 DOI: 10.2147/copd.s330792] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/27/2021] [Indexed: 11/23/2022] Open
Abstract
Background To examine trends in chronic obstructive pulmonary disease (COPD) mortality and years of life lost (YLL) due to COPD for all provinces in China during 2005–2020. Methods Data for COPD mortality were derived from China National Mortality Surveillance System (NMSS). We analyzed the numbers and age-standardized rates of death and YLL due to COPD in China, during 2005–2020. We carried out decomposition analysis to analyze the drivers of change in COPD deaths during the study period. Results The age-standardized mortality rate of COPD in China decreased significantly from 99.5/100,000 in 2005 to 50.5/100,000 in 2020. Similar trend was seen in the age-standardized YLL rate. The mortality rate increased with age. During 2005–2020, the age-standardized mortality rate decreased in all provinces (except for Tibet) with the largest decline in Jilin (−77.8%), Henan (−68.4%) and Fujian (−67.1%). The decreased number of deaths was decomposed as population growth (8.5%) and population ageing (69.7%) with offset by decline of age-specific mortality (−87.5%). Conclusion COPD remains an important public health problem in China, though significant reductions of COPD mortality and YLL rate were observed. Vigorous prevention and control strategies should be enhanced to improve the quality of life of COPD patients and reduce the premature death caused by COPD in Chinese population.
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Affiliation(s)
- Wei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Wei Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Shidi Meng
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Feixue Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Zheng Long
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Jinling You
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Lin Lin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China
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Li B, Qi J, Cheng P, Yin P, Hu G, Wang L, Liu Y, Liu J, Zeng X, Hu J, Zhou M. Traumatic spinal cord injury mortality from 2006 to 2016 in China. J Spinal Cord Med 2021; 44:1005-1010. [PMID: 31944926 PMCID: PMC8725675 DOI: 10.1080/10790268.2019.1699355] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022] Open
Abstract
Purpose: To report on the national traumatic spinal cord injury (TSCI) mortality of China population, and assess sex-, age-, location-, and cause-specific mortality rates, respectively.Methods: A population-based longitudinal study based on mortality data from the Disease Surveillance Points system of China, 2006-2016. TSCI was defined according to the 10th International Classification of Disease. Negative binomial regression was used to test the significance of the change in overall and subgroup mortality rate.Results: Age-adjusted TSCI mortality rate increased by 64% from 2006 to 2016, ranging from 0.19 to 0.34 per 100,000 population. The crude mortality was 0.31 per 100,000 population in 2016. Males and rural residents had higher TSCI mortality rates than females and urban residents. The age-adjusted TSCI mortality rate increased 53% for males, 107% for females, 75% in an urban area, and 59% in a rural area. In comparison with insignificant change in the age group of 0-44 years, TSCI mortality increased 56% and 147% in age groups of 45-64 years and 65 years. Falls accounted for 45.4% of total mortality.Conclusions: TSCI mortality rates were higher in males and in rural residents than in females and in urban residents during the study time period. TSCI mortality increased quickly as age increased; adults aged 65 years and older had the highest mortality rate. Falls and motor vehicle crashes were the two most common causes of TSCI mortality. More prevention efforts are needed to reduce a number of deaths from TSCI injury considering a substantial increase in TSCI mortality.
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Affiliation(s)
- Bin Li
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, People’s Republic of China,Department of Spine Surgery, Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Peixia Cheng
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, People’s Republic of China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Guoqing Hu
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, People’s Republic of China,Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, People’s Republic of China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Xinying Zeng
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Jianzhong Hu
- Department of Spine Surgery, Xiangya Hospital, Central South University, Changsha, People’s Republic of China,Jianzhong Hu, Department of Spine Surgery, Xiangya Hospital, Central South University, Changsha410008, People’s Republic of China; Ph: 8613875855748.
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China,Correspondence to: Maigeng Zhou, NationalCenter for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27 Nanwei Road, Beijing, Xicheng District100050, People’s Republic of China; Ph: 8613611209306.
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Wang W, Liu Y, Liu J, Yin P, Wang L, Qi J, You J, Lin L, Meng S, Wang F, Zhou M. Mortality and years of life lost of cardiovascular diseases in China, 2005-2020: Empirical evidence from national mortality surveillance system. Int J Cardiol 2021; 340:105-112. [PMID: 34453974 DOI: 10.1016/j.ijcard.2021.08.034] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 08/19/2021] [Accepted: 08/20/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Cardiovascular disease (CVD) is leading cause of death in China. We aimed to provide national and subnational estimates and its change of premature mortality burden of CVD during 2005-2020. METHODS Data from multi-source on the basis of national mortality surveillance system (NMSS) was used to estimate mortality and years of life lost (YLL) of total CVD and its subcategories in Chinese population across 31 provinces during 2005-2020. RESULTS Estimated CVD deaths increased from 3.09 million in 2005 to 4.58 million in 2020; the age-standardized mortality rate (ASMR) decreased from 286.85 per 100,000 in 2005 to 245.39 per 100,000 in 2020. A substantial reduction of 19.27% of CVD premature mortality burden, as measured by age-standardized YLL rate, was observed. Ischemic heart disease (IHD), hemorrhagic stroke (HS) and ischemic stroke (IS) were leading 3 causes of CVD death. Marked differences were observed in geographical patterns for total CVD and its subcategories, and it appeared to be lower in areas with higher economic development. Population ageing was dominant driver contributed to CVD deaths increase, followed by population growth. And, age-specific mortality shifts contributed largely to CVD deaths decline in most provinces. CONCLUSION Substantial discrepancies were demonstrated in CVD premature mortality burden across China. Targeted considerations were needed to integrate primary care with clinical care through intensifying further strategies for reducing CVD mortality among specific subcategories, high risk population and regions with inadequate healthcare resources.
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Affiliation(s)
- Wei Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinling You
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Lin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shidi Meng
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feixue Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
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Zhou C, Wen X, Ding Y, Ding J, Jin M, Liu Z, Wang S, Han M, Yuan H, Xiao Y, Wu L, Wang J, Li Y, Yu J, Wen Y, Ye J, Liu R, Chen Z, Xue S, Lu W, Liao H, Cui J, Zhu D, Lu F, Tang S, Wu Y, Yangkyi T, Zhang G, Wubuli M, Guo H, Wang X, He Y, Sheng X, Wang Q, Luo Y, Fan J, Qi J, Yu Z, Tan J, Liang J, Sun X, Jin L, Yang X, Zhang J, Ji X, Zhao J, Jia R, Fan X. Eye-Preserving Therapies for Advanced Retinoblastoma: A Multicenter Cohort of 1678 Patients in China. Ophthalmology 2021; 129:209-219. [PMID: 34536465 DOI: 10.1016/j.ophtha.2021.09.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 09/06/2021] [Accepted: 09/08/2021] [Indexed: 02/05/2023] Open
Abstract
PURPOSE This study attempted to estimate the impact of eye-preserving therapies for the long-term prognosis of patients with advanced retinoblastoma with regard to overall survival and ocular salvage. DESIGN Retrospective cohort study covering all 31 provinces (38 retinoblastoma treating centers) of mainland China. PARTICIPANTS One thousand six hundred seventy-eight patients diagnosed with group D or E retinoblastoma from January 2006 through May 2016. METHODS Chart review was performed. The patients were divided into primary enucleation and eye-preserving groups, and they were followed up for survival status. The impact of initial treatment on survival was evaluated by Cox analyses. MAIN OUTCOME MEASURES Overall survival and final eye preservation. RESULTS After a median follow-up of 43.9 months, 196 patients (12%) died, and the 5-year overall survival was 86%. In total, the eyeball preservation rate was 48%. In this cohort, 1172 patients (70%) had unilateral retinoblastoma, whereas 506 patients (30%) had bilateral disease. For patients with unilateral disease, 570 eyes (49%) underwent primary enucleation, and 602 patients (51%) received eye-preserving therapies initially. During the follow-up (median, 45.6 months), 59 patients (10%) from the primary enucleation group and 56 patients (9.3%) from the eye-preserving group died. Multivariate Cox analyses indicated no significant difference in overall survival between the 2 groups (hazard ratio [HR], 1.25; 95% confidence interval [CI], 0.85-1.84; P = 0.250). For patients with bilateral disease, 95 eyes (19%) underwent primary enucleation, and 411 patients (81%) received eye-preserving therapies initially. During the follow-up (median, 40.1 months), 12 patients (13%) from the primary enucleation group and 69 patients (17%) from the eye-preserving group died. For bilateral retinoblastoma with the worse eye classified as group E, patients undergoing primary enucleation exhibited better overall survival (HR, 2.35; 95% CI, 1.10-5.01; P = 0.027); however, this survival advantage was not evident until passing 22.6 months after initial diagnosis. CONCLUSIONS Eye-preserving therapies have been used widely for advanced retinoblastoma in China. Patients with bilateral disease whose worse eye was classified as group E and who initially underwent eye-preserving therapies exhibited a worse overall survival. The choice of primary treatment for advanced retinoblastoma should be weighed carefully.
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Affiliation(s)
- Chuandi Zhou
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China; Chuandi Zhou's current affiliation is Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuyang Wen
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - Yi Ding
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - Jingwen Ding
- Department of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Mei Jin
- Department of Ophthalmology, Beijing Children's Hospital, Capital Medical University, Beijing, China
| | - Zhenyin Liu
- Department of Interventional Radiology and Vascular Anomalies, Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Sha Wang
- Department of Ophthalmology, Xiangya Hospital, Central South University, Changsha, China
| | - Minglei Han
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Ophthalmology, Qilu Children's Hospital of Shandong University, Jinan, China
| | - Hongfeng Yuan
- Department of Ophthalmology, Army Medical Center of PLA, Chongqing, China
| | - Yishuang Xiao
- Department of Ophthalmology, Kunming Children's Hospital, Kunming, China
| | - Li Wu
- Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jiancang Wang
- Department of Ophthalmology, Hebei Children's Hospital, Shijiazhuang, China
| | - Yangjun Li
- Department of Ophthalmology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Jiawei Yu
- Department of Ophthalmology, Harbin Children's Hospital, Harbin, China
| | - Yuechun Wen
- Department of Ophthalmology, The First Affiliated Hospital of USTC (Anhui Provincial Hospital), University of Science and Technology of China, Hefei, China
| | - Juan Ye
- Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Rong Liu
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhijun Chen
- Department of Ophthalmology, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Shangcai Xue
- Department of Ophthalmology, Second Provincial People's Hospital of Gansu, Lanzhou, China
| | - Wei Lu
- Department of Ophthalmology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Hongfei Liao
- Department of Ocular Trauma and Orbital Diseases, Affiliated Eye Hospital of Nanchang University, Nanchang, China
| | - Jizhe Cui
- Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, China
| | - Dan Zhu
- Department of Ophthalmology, The Affiliated Hospital of Inner Mongolia Medical University, Huhhot, China
| | - Fang Lu
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China
| | - Song Tang
- Department of Ophthalmology, Affiliated Shenzhen Eye Hospital of Ji-nan University, Shenzhen, China
| | - Yu Wu
- Department of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Tseden Yangkyi
- Department of Ophthalmology, Tibet Autonomous Region Eye Center, Tibetan Medicine Hospital, Lhasa, China
| | - Guanghong Zhang
- Department of Ophthalmology, The General Hospital of Xinjiang Military Command of PLA, Urumchi, China
| | - Miershalijiang Wubuli
- Department of Ophthalmology, Kashgar Prefecture Second People's Hospital, Kashgar, China
| | - Huiyu Guo
- Department of Ophthalmology, Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China
| | - Xian Wang
- Department of Ophthalmology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Yanjin He
- Department of Ophthalmology, Tianjin Medical University Eye Hospital, Tianjin, China
| | - Xunlun Sheng
- Department of Ophthalmology, NingXia Eye Hospital, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Qing Wang
- Department of Ophthalmology, Qinghai University Affiliated Hospital, Xining, China
| | - Yingxiu Luo
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - Jiayan Fan
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China
| | - Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhangsheng Yu
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China
| | - Jia Tan
- Department of Ophthalmology, Xiangya Hospital, Central South University, Changsha, China
| | - Jianhong Liang
- Department of Ophthalmology, Peking University People's Hospital, Beijing, China
| | - Xiantao Sun
- Department of Ophthalmology, Henan Children's Hospital, Zhengzhou, China
| | - Liwen Jin
- Department of Ophthalmology, Quanzhou Women's and Children's Hospital, Quanzhou, China
| | - Xinji Yang
- Department of Ophthalmology, The General Hospital of Chinese People's Armed Police Forces, Beijing, China
| | - Jing Zhang
- Department of Interventional Radiology and Vascular Anomalies, Guangzhou Women and Children's Medical Center, Guangzhou, China.
| | - Xunda Ji
- Department of Ophthalmology, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Junyang Zhao
- Department of Ophthalmology, Beijing Children's Hospital, Capital Medical University, Beijing, China.
| | - Renbing Jia
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.
| | - Xianqun Fan
- Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.
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Ma ZX, Xu H, Xiang W, Qi J, Xu YY, Zhao ZG. Deacetylation of FOXO4 by Sirt1 stabilizes chondrocyte extracellular matrix upon activating SOX9. Eur Rev Med Pharmacol Sci 2021; 25:626-635. [PMID: 33577016 DOI: 10.26355/eurrev_202101_24621] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE FOXO4 has essential roles in cellular metabolism and prevents cartilage degeneration in osteoarthritis (OA). Here we aim to provide evidence that deacetylated-FOXO4 stabilizes chondrocyte (CH) extracellular matrix (ECM) related to SOX9 activation. PATIENTS AND METHODS We used Chromatin immunoprecipitation (ChIP) and Dual-Luciferase reporter assay to verify that the FOXO4 protein activates SOX9 by binding to its promoter. We cultured human CHs with IL-1β to cause degeneration and supplied Sirt1 protein to deacetylate FOXO4. To confirm the function of FOXO4 and SOX9 during CHs degeneration, we also used the FOXO4 and SOX9 silenced CHs by siRNA transfection as a comparison. Western blot assay was used to analyze the protein level of Sirt1, SOX9, and the acetylated condition of FOXO4. Besides, RT-PCR was used to measure the mRNA level of collagen I/II/X, aggrecan, MMP-13, and ADAMTS-5 for determining the ECM states. RESULTS FOXO4 protein transcriptionally activates SOX9 expression by binding to its promoter. Under the IL-1β stimulation, FOXO4 acetyl-lysine rate increased, and the SOX9 protein expression decreased, which was alleviated after the supplement of exogenic Sirt1 protein. Meanwhile, Sirt1 overexpression increased the collagen II and aggrecan and reduced the collagen I, collagen X, MMP-13, and ADAMTS-5 mRNA expression. However, the silencing of FOXO4 abolished the Sirt1 induced SOX9 expression and weakened the ECM production stability. Additionally, SOX9 silencing also alleviated the effect of the Sirt1 supplement on the degenerated CHs, though the FOXO4 was highly deacetylated. CONCLUSIONS FOXO4 acetylation aggravates during the degeneration of CHs, and the deacetylation of FOXO4 by Sirt1 could activate the SOX9 expression and result in maintaining the ECM stability of cartilage.
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Affiliation(s)
- Z-X Ma
- Department of Orthopedics, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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