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Pei W, Li J, Lei S, Nie S, Liu L. Burden of major cancers in China attributable to modifiable risk factors: Predictions from 2012 to 2035. Int J Cancer 2024. [PMID: 39503513 DOI: 10.1002/ijc.35233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 09/23/2024] [Accepted: 10/02/2024] [Indexed: 11/08/2024]
Abstract
The cancer burden continues to escalate in China. This study was designed to quantify the burden of deaths attributable to modifiable risk factors for major cancers in China from 2012 to 2035, and to provide evidence-based recommendations for cancer management. Using nationally representative data on risk factors and cancer mortality, a comparative risk assessment approach was employed to calculate the temporal trend of population-attributable fractions (PAFs) for 15 modifiable risk factors associated with major cancers in China. The PAF for modifiable risk factors decreased from 64.5% (95% uncertainty interval [UI]: 46.2%-75.3%) in 2012 to 59.3% (95% UI: 40.6%-71.2%) in 2035. Attributable deaths increased from 1,309,990 (95% UI: 938,217-1,529,170) in 2012 to 1,313,418 (95% UI: 898,411-1,577,189) in 2035, while attributable disability-adjusted life years (DALYs) rose from 28,488,120 (95% UI: 20,471,859-33,308,237) to 33,017,705 (95% UI: 22,730,814-39,564,735). Between 2012 and 2035, the top three risk factors contributing to cancer burden shifted from smoking, insufficient fruit intake and particulate matter <2.5 μm in diameter (PM2.5) exposure to smoking, physical inactivity, and inadequate fruit intake. Controlling modifiable risk factors at recommended levels by 2020 could have prevented around 890,000 deaths and 2.2 million DALYs by 2035. The proportion of cancer burden due to modifiable risk factors is projected to decrease, but the absolute number continues to rise. Adhering to an optimal lifestyle could prevent ~40% of cancer deaths by 2035. Key modifiable risk factors including smoking, physical inactivity, and insufficient intake of fruits require high attention.
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Affiliation(s)
- Wei Pei
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Jia Li
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Shengxi Lei
- Wuhan Britain-China School, Wuhan, People's Republic of China
| | - Shaofa Nie
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Li Liu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
- Hubei Provincial Clinical Research Center for Colorectal Cancer, Wuhan, People's Republic of China
- Wuhan Clinical Research Center for Colorectal Cancer, Wuhan, People's Republic of China
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Collatuzzo G, Malvezzi M, Mangiaterra S, Di Maso M, Turati F, Parazzini F, Pelucchi C, Alicandro G, Negri E, La Vecchia C, Boffetta P. Cancers attributable to tobacco smoking in Italy in 2020. Cancer Epidemiol 2024; 92:102623. [PMID: 39018889 DOI: 10.1016/j.canep.2024.102623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 07/08/2024] [Accepted: 07/12/2024] [Indexed: 07/19/2024]
Abstract
BACKGROUND Tobacco smoking is still frequent in Italy and a major cause of cancer globally. We estimated the burden of smoking-related cancer in Italy. METHODS To calculate the population attributable fraction (PAF), we adopted a counterfactual scenario for which all individuals never smoked. The PAF of current and former smoking and second-hand smoke (SHS) was estimated for cancers associated with these habits according to the International Agency for Research on Cancer. Relative risk estimates and prevalence of exposure were derived from large-scale studies and national surveys, respectively. A 20-year latency period between exposure and cancer was considered. Cancer incidence data for 2020 and mortality data for 2017 were obtained from the Italian Association of Cancer Registries. RESULTS Tobacco smoking caused, in men and women respectively, 90.0 % and 58.3 % of lung; 67.8 % and 53.5 % of pharyngeal; 47.0 % and 32.2 % of bladder; 45.9 % and 31.7 % of oral; 36.6 % and 23.6 % of esophageal; 23.0 % and 14.0 % of pancreatic cancer and lower percentages of cancers at other sites. Tobacco smoking accounted for 23.9 % and 7.7 % of new cancer cases in 2020, and 32.1 % and 11.3 % of cancer deaths in 2017 in men and women, respectively, corresponding to 17.3 % of cases and 24.5 % of cancer deaths overall. The PAF of lung cancer due to SHS in never smoking women married with smokers was 13.0 %. CONCLUSIONS Tobacco smoking is a primary cause of cancer in Italy in both sexes. Tobacco control policies are warranted.
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Affiliation(s)
- Giulia Collatuzzo
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Matteo Malvezzi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Silvia Mangiaterra
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Matteo Di Maso
- Department of Clinical Sciences and Community Health, University of Milan, Milan
| | - Federica Turati
- Department of Clinical Sciences and Community Health, University of Milan, Milan
| | - Fabio Parazzini
- Department of Clinical Sciences and Community Health, University of Milan, Milan
| | - Claudio Pelucchi
- Department of Clinical Sciences and Community Health, University of Milan, Milan
| | - Gianfranco Alicandro
- Cystic Fibrosis Centre, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Eva Negri
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Carlo La Vecchia
- Department of Clinical Sciences and Community Health, University of Milan, Milan
| | - Paolo Boffetta
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy; Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA.
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Han B, Zheng R, Zeng H, Wang S, Sun K, Chen R, Li L, Wei W, He J. Cancer incidence and mortality in China, 2022. JOURNAL OF THE NATIONAL CANCER CENTER 2024; 4:47-53. [PMID: 39036382 PMCID: PMC11256708 DOI: 10.1016/j.jncc.2024.01.006] [Citation(s) in RCA: 121] [Impact Index Per Article: 121.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 01/07/2024] [Accepted: 01/08/2024] [Indexed: 07/23/2024] Open
Abstract
Background The National Cancer Center (NCC) of China regularly reports the nationwide statistics on cancer incidence and mortality in China. The International Agency for Research on Cancer (IARC) calculates and publishes the cancer burden of countries around the world every two years. To ensure consistency between the actual surveillance data in China and the data published by IARC, NCC has received approval from the National Health Commission and IARC to simultaneously release the cancer burden data for China in GLOBOCAN 2022. Methods There were a total of 700 registries reporting high-quality data on cancer incidence and mortality across China in 2018, of which 106 registries with continuous monitoring from 2010 to 2018 were used to establish an age-period-cohort model to simulate the trend of cancer incidence and mortality and to estimate the incidence and mortality in China in 2022. In addition, we analyzed the temporal trends of age-standardized cancer incidence and mortality from 2000 to 2018 using data from 22 continuous cancer registries. Results It was estimated about 4,824,700 new cancer cases and 2,574,200 new cancer deaths occurred in China in 2022. Cancers of the lung, colon-rectum, thyroid, liver and stomach were the top five cancer types, accounting for 57.42% of new cancer cases. Cancers of the lung, liver, stomach, colon-rectum and esophagus were the five leading causes of cancer deaths, accounting for 67.50% of total cancer deaths. The crude rate and age-standardized incidence rate (ASIR) were 341.75 per 100,000 and 201.61 per 100,000, respectively. The crude mortality rate was 182.34 per 100,000 and the age-standardized mortality rate (ASMR) was 96.47 per 100,000. The ASIR of all cancers combined increased by approximately 1.4% per year during 2000-2018, while the ASMR decreased by approximately 1.3% per year. We observed decreasing trends in ASIR and ASMR for cancers of the esophagus, stomach, and liver, whereas the ASIR increased significantly for cancers of the thyroid, prostate, and cervix. Conclusions Cancer remains a major public health concern in China, with a cancer profile that reflects the coexistence of developed and developing regions. Sustained implementation of prevention and control measures has resulted in significant reductions in the incidence and mortality rates of certain historically high incidence cancers, such as esophageal, stomach and liver cancers. Adherence to the guidelines of the Healthy China Action Plan and the Cancer Prevention and Control Action Plan, along with continued efforts in comprehensive risk factor control, cancer screening, early diagnosis and treatment, and standardization of diagnostic and therapeutic protocols, are key strategies to effectively mitigate the increasing cancer burden by 2030.
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Affiliation(s)
- Bingfeng Han
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rongshou Zheng
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongmei Zeng
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shaoming Wang
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kexin Sun
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ru Chen
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li Li
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenqiang Wei
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Xiong R, Du Y, Chen S, Liu T, Ding X, Zhou J, Wang Z, Yang Q. Hypermethylation of the ADIRF promoter regulates its expression level and is involved in NNK-induced malignant transformation of lung bronchial epithelial cells. Arch Toxicol 2023; 97:3243-3258. [PMID: 37777989 DOI: 10.1007/s00204-023-03608-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 09/20/2023] [Indexed: 10/03/2023]
Abstract
The carcinogenic mechanism of 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), a well-known tobacco carcinogen, has not been fully elucidated in epigenetic studies. 5-Methylcytosine (5mC) modification plays a major role in epigenetic regulation. In this study, the 5mC level increased in both BEAS-2B human bronchial epithelium cells treated with 100 mg/L NNK for 24 h and NNK-induced malignant-transformed BEAS-2B cells (2B-NNK cells), suggesting that 5mC modification is associated with the malignant transformation mechanism of NNK. Using a combination of Methylated DNA Immunoprecipitation Sequencing (MeDIP-seq), RNA sequencing (RNA-seq), and bioinformatics analysis of data from the Genomic Data Commons database, we found that the Adipogenesis regulatory factor (ADIRF) promoter region was abnormally hypermethylated, yielding low ADIRF mRNA expression, and that ADIRF overexpression could inhibit the proliferation, migration, and invasion of 2B-NNK cells. This finding suggests that ADIRF plays a tumor suppressor role in the NNK-induced malignant transformation of cells. Subsequently, using 5-Aza-2'-deoxycytidine (5-Aza-2'-dC) and the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Catalytically Dead Cas9 (dCas9 system), we verified that the demethylation of the ADIRF promoter region in 2B-NNK cells inhibited the proliferation, migration, and invasion ability of the cells and increased their apoptosis ability. These results suggest that abnormal 5mC modification of the ADIRF promoter plays a positive regulatory role in the pathogenesis of NNK-induced lung cancer. This study offers a new experimental basis for the epigenetic mechanism of NNK-induced lung cancer.
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Affiliation(s)
- Rui Xiong
- The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao Town, Panyu District, Guangzhou, 511436, People's Republic of China
| | - Yiheng Du
- The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao Town, Panyu District, Guangzhou, 511436, People's Republic of China
| | - Sili Chen
- The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao Town, Panyu District, Guangzhou, 511436, People's Republic of China
| | - Tao Liu
- The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao Town, Panyu District, Guangzhou, 511436, People's Republic of China
| | - Xiangyu Ding
- The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao Town, Panyu District, Guangzhou, 511436, People's Republic of China
| | - Jiaxin Zhou
- The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao Town, Panyu District, Guangzhou, 511436, People's Republic of China
| | - Zhi Wang
- Key Laboratory of Occupational Environment and Health, Guangzhou Twelfth People's Hospital, 1 Tianqiang St., Huangpu West Ave, Guangzhou, 510620, China
| | - Qiaoyuan Yang
- The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Xinzao Town, Panyu District, Guangzhou, 511436, People's Republic of China.
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Luo Z, Xu W, Jiang S, Zhou Q, Guan Y, Li L, Liu S, Zhou H, Yin X, Wu Y, Chen J. The mediating role of negative emotions in the relationship between smoking and health-related quality of life among Chinese individuals: A cross-sectional study. Tob Induc Dis 2023; 21:135. [PMID: 37849528 PMCID: PMC10578262 DOI: 10.18332/tid/171355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/12/2023] [Accepted: 08/17/2023] [Indexed: 10/19/2023] Open
Abstract
INTRODUCTION Although the negative impact of smoking on health has been confirmed in various studies, few have explored psychological factors mediating the relationship between smoking and health-related quality of life (HRQOL). This study aimed to investigate the relationship between smoking and HRQOL in the Chinese population and the mediating role of negative emotions (NEs). METHODS Survey data were derived from a cross-sectional study conducted in China from 20 June to 31 August 2022. We recruited participants from 148 cities across the country using a stratified multistage sampling method. The HRQOL of the dependent variable was measured using the Chinese version of European Quality of Life-5 Dimensions (EQ-5D-5L). The Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder (GAD-7), and Perceived Stress Scale (PSS-4) were used to measure NE parameters including depression, anxiety, and perceived stress, as the intermediate variables. A multiple parallel mediation model was used to analyze the mediating role of NEs in smoking and HRQOL. RESULTS A total of 21916 valid questionnaires were collected, of which 3010 (13.7%) and 18906 (86.3%) were categorized into smokers and non-smokers, respectively. The HRQOL (EQ-VAS score) of smokers (71.70 ± 23.08) was lower than that of non-smokers (73.69 ± 21.32), whereas the depression and anxiety levels of smokers were higher than those of non-smokers (all p<0.001). Moreover, smoking, NEs (depression and anxiety), and HRQOL showed pairwise correlations. According to the mediation analysis, depression (β= -0.461; 95% BCa CI: -0.664 - -0.268) and anxiety (β= -0.279; 95% BCa CI: -0.435 - -0.138) mediated the relationship between smoking and HRQOL after adjusting for demographic and life factors. CONCLUSIONS These findings emphasize the necessity of studying the interaction between smoking, HRQOL, and Nes, and complementing the research on the impact of psychological factors on the HRQOL of smokers. Public health activities should focus on mental health and take targeted measures for the prevention, treatment, and rehabilitation of smokers.
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Affiliation(s)
- Zhenni Luo
- School of Health Management, Guangzhou Medical University, Guangzhou, China
| | - Weihong Xu
- School of Health Management, Guangzhou Medical University, Guangzhou, China
| | - Shijing Jiang
- School of Health Management, Guangzhou Medical University, Guangzhou, China
| | - Qian Zhou
- School of Health Management, Guangzhou Medical University, Guangzhou, China
| | - Yan Guan
- School of Health Management, Guangzhou Medical University, Guangzhou, China
| | - Lu Li
- School of Health Management, Guangzhou Medical University, Guangzhou, China
| | - Siyuan Liu
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Haozheng Zhou
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Xuanhao Yin
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Yibo Wu
- School of Public Health, Peking University, Beijing, China
| | - Jiangyun Chen
- Center for WHO Studies, Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, China
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Cao X, Zhang L, Wang X, Chen Z, Zheng C, Chen L, Zhou H, Cai J, Hu Z, Tian Y, Gu R, Huang Y, Wang Z. Cardiovascular disease and all-cause mortality associated with individual and combined cardiometabolic risk factors. BMC Public Health 2023; 23:1725. [PMID: 37670287 PMCID: PMC10478453 DOI: 10.1186/s12889-023-16659-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 08/30/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Previous studies have investigated the association between cardiometabolic risk factors and cardiovascular disease (CVD), but evidence of the attributable burden of individual and combined cardiometabolic risk factors for CVD and mortality is limited. We aimed to investigate and quantify the associations and population attributable fraction (PAF) of cardiometabolic risk factors on CVD and all-cause mortality, and calculate the loss of CVD-free years and years of life lost in relation to the presence of cardiometabolic risk factors. METHODS Twenty-two thousand five hundred ninety-six participants aged ≥ 35 without CVD at baseline were included between October 2012 and December 2015. The outcomes were the composite of fatal and nonfatal CVD events and all-cause mortality, which were followed up in 2018 and 2019 and ascertained by hospital records and death certificates. Cox regression was applied to evaluate the association of individual and combined cardiometabolic risk factors (including hypertension, diabetes and high low-density lipoprotein cholesterol (LDL-C)) with CVD risk and all-cause mortality. We also described the PAF for CVD and reductions in CVD-free years and life expectancy associated with different combination of cardiometabolic conditions. RESULTS During the 4.92 years of follow-up, we detected 991 CVD events and 1126 deaths. Hazard ratio were 1.59 (95% confidential interval (CI) 1.37-1.85), 1.82 (95%CI 1.49-2.24) and 2.97 (95%CI 1.85-4.75) for CVD and 1.38 (95%CI 1.20-1.58), 1.66 (95%CI 1.37-2.02) and 2.97 (95%CI 1.88-4.69) for all-cause mortality, respectively, in participants with one, two or three cardiometabolic risk factors compared with participants without diabetes, hypertension, and high LDL-C. 21.48% of CVD and 15.38% of all-cause mortality were attributable to the combined effect of diabetes and hypertension. Participants aged between 40 and 60 years old, with three cardiometabolic disorders, had approximately 4.3-year reductions life expectancy compared with participants without any abnormalities of cardiometabolic disorders. CONCLUSIONS Cardiometabolic risk factors were associated with a multiplicative risk of CVD incidence and all-cause mortality, highlighting the importance of comprehensive management for hypertension, diabetes and dyslipidemia in the prevention of CVD.
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Affiliation(s)
- Xue Cao
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Linfeng Zhang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Xin Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Zuo Chen
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Congyi Zheng
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Lu Chen
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Haoqi Zhou
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Jiayin Cai
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Zhen Hu
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Yixin Tian
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Runqing Gu
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Yilin Huang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China
| | - Zengwu Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, No. 15 (Lin), Fengcunxili, Mentougou District, Beijing, 102308, China.
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Li N, Wu P, Wang Z, Shen Y, Zhang L, Xue F, Han W, Chen Y, Du J, Zhao Y, Yang C, Hu Y, Gu W, Chen W, Guo X, Liu B, Jiang J, Xu N. Smoking-related cancer death among men and women in an ageing society (China 2020-2040): a population-based modelling study. Tob Control 2023; 32:163-169. [PMID: 34725269 DOI: 10.1136/tobaccocontrol-2020-056444] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 07/21/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND China is experiencing a postpeak smoking epidemic with accelerating population ageing. Understanding the impacts of these factors on the future cancer burden has widespread implications. METHODS We developed predictive models to estimate smoking-related cancer deaths among men and women aged ≥35 years in China during 2020-2040. Data sources for model parameters included the United Nations World Population Prospects, China Death Surveillance Database, national adult tobacco surveys and the largest national survey of smoking and all causes of death to date. The main assumptions included stable sex-specific and age-specific cancer mortality rates and carcinogenic risks of smoking over time. RESULTS In a base-case scenario of continuing trends in current smoking prevalence (men: 57.4%-50.5%; women: 2.6%-2.1% during 2002-2018), the smoking-related cancer mortality rate with population ageing during 2020-2040 would rise by 44.0% (from 337.2/100 000 to 485.6/100 000) among men and 52.8% (from 157.3/100 000 to 240.4/100 000) among women; over 20 years, there would be 8.6 million excess deaths (0.5 million more considering former smoking), and a total of 117.3 million smoking-attributable years of life lost (110.3 million (94.0%) in men; 54.1 million (46.1%) in working-age (35-64 years) adults). An inflection point may occur in 2030 if smoking prevalence were reduced to 20% (Healthy China 2030 goal), and 1.4 million deaths would be averted relative to the base-case scenario if the trend were maintained through 2040. CONCLUSIONS Coordinated efforts are urgently needed to curtail a rising tide of cancer deaths in China, with intensified tobacco control being key.
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Affiliation(s)
- Ning Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Peng Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Zixing Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Yubing Shen
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Luwen Zhang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Fang Xue
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Wei Han
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Yali Chen
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Jin Du
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Yujie Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Cuihong Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Yaoda Hu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Wentao Gu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Wangyue Chen
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Xiaobo Guo
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Boqi Liu
- Department of Cancer Epidemiology, Cancer Institute & Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Jingmei Jiang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Science, Chinese Academy of Medical Sciences & School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Ningzhi Xu
- Laboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, Cancer Institute & Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China
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Rezakhani L, Darbandi M, Khorrami Z, Rahmati S, Shadmani FK. Mortality and disability-adjusted life years for smoking-attributed cancers from 1990 to 2019 in the north Africa and middle east countries: a systematic analysis for the global burden of disease study 2019. BMC Cancer 2023; 23:80. [PMID: 36694168 PMCID: PMC9875390 DOI: 10.1186/s12885-023-10563-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 01/26/2023] Open
Abstract
AIM AND BACKGROUND Smoking is a modifiable risk factor for cancers. The aim of the study is to estimate the trend of mortality and DALYs of smoking-attributed cancers in the North Africa and Middle East (NAME) countries. METHODS In this study, estimates from the Global Burden of Disease 2019 (GBD-2019) study were used to report the mortality and DALYs for 16 smoking-attributed cancers. The mortality and DALYs rates from smoking-attributed cancers were evaluated by age, sex, and the 21 countries of the NAME countries from 1990 to 2019. RESULTS Age standardized mortality rates (ASMR) for the 29 smoking-attributed cancers in the NAME countries in 1990 and 2019 were estimated to be 24.7 (95% Uncertainty Interval: 21.5, 27.8) and 22.4 (95%UI: 19.8, 25.4) respectively, which shows a 9.2% decrease in the three decades. DALYs/100,000 for smoking-attributed cancers was, also, estimated to be 600.3 (95%UI: 521.6, 682.6) and 515.6 (95%UI: 454.9, 585.4) respectively, which indicates a 14.1% decreased in these three decades. In the last three decades, the percentage changes in DALYs/100,000 for smoking-attributed cancers in males and females were - 0.16 and - 0.03, respectively. Plus, The percentage changes in ASMR in males and females were - 12% and 8%, respectively. Furthermore, The highest ASMR and DALYs were observed in Lebanon, Turkey, and Palestine in 2019. CONCLUSION The mortality rates of cancers from smoking have increased substantially among females, in most countries of the NAME region, in recent years. The burden caused by smoking can be reduced through modifying lifestyle and applying strict laws on smoking by governments and policymakers.
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Affiliation(s)
- Leila Rezakhani
- grid.412112.50000 0001 2012 5829Fertility and Infertility Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran ,grid.412112.50000 0001 2012 5829Department of Tissue Engineering, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mitra Darbandi
- grid.412112.50000 0001 2012 5829Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Zahra Khorrami
- grid.411600.2Ophthalmic Epidemiology Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Shima Rahmati
- grid.440801.90000 0004 0384 8883Cancer Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Fatemeh Khosravi Shadmani
- grid.412112.50000 0001 2012 5829Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
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9
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Maimaitiming M, Wang M, Luo Y, Wang J, Jin Y, Zheng ZJ. Global trends and regional differences in the burden of cancer attributable to secondhand smoke in 204 countries and territories, 1990–2019. Front Oncol 2022; 12:972627. [PMID: 36303836 PMCID: PMC9592919 DOI: 10.3389/fonc.2022.972627] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 09/20/2022] [Indexed: 11/21/2022] Open
Abstract
Background To describe the status quo and trends in the global burden of all cancers caused by secondhand smoke during 1990–2019. Methods Data on cancer associated with secondhand smoke were extracted from the Global Heath Data Exchange. Cancer burden was measured by cancer-related deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), and years of life lost (YLLs). Results In 2019, age-standardized rates of death, DALYs and YLLs among the cancer population globally caused by secondhand smoke were 1.60, 38.54 and 37.77, respectively. The proportions of these in the total cancer burden for all risk factors combined decreased slightly from 1990 to 2003 and then increased from 2004 to 2019. In 2019, >50% of the cancer burden was concentrated in men aged 55–75 years and women aged 50–70 years. Between 1990 and 2019, there was an increase in age-standardized rates of death, DALYs, YLDs and YLLs among those aged ≥70 years. The age-standardized YLDs rate attributable to secondhand smoke was higher among women; it decreased in men but increased in women, causing a wider gap between the sexes. A greater cancer burden was mainly seen in North America in 1990 and Europe in 2019. Reductions in the annual rate change of cancer burden were found mainly in North America and Oceania, while increases were found in Africa and Asia. In 2019, high–middle- and middle-SDI countries had higher age-standardized rates of deaths, DALYs, YLDs and YLLs than the global level. During 1990 and 2019, the largest decline in cancer burden was seen in high-SDI countries, while middle- or low-SDI countries experienced increases in all age-standardized rates. Conclusions Cancer burden attributable to secondhand smoke is concerning given the increasing health loss and differences in distribution of cancer burden worldwide. Further studies are needed to investigate the causes of disparities in cancer burden attributable to secondhand smoke and to improve understanding of the contribution of secondhand smoke to the burden of different types of cancer.
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Affiliation(s)
- Mailikezhati Maimaitiming
- Department of Global Health, School of Public Health, Peking University, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Minmin Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yanan Luo
- Department of Global Health, School of Public Health, Peking University, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
| | - Jia Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital & Institute, Beijing, China
- *Correspondence: Yinzi Jin, ; Jia Wang,
| | - Yinzi Jin
- Department of Global Health, School of Public Health, Peking University, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
- *Correspondence: Yinzi Jin, ; Jia Wang,
| | - Zhi-Jie Zheng
- Department of Global Health, School of Public Health, Peking University, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
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10
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Wen H, Xie C, Shi F, Liu Y, Liu X, Yu C. Trends in Deaths Attributable to Smoking in China, Japan, United Kingdom, and United States From 1990 to 2019. Int J Public Health 2022; 67:1605147. [PMID: 36188749 PMCID: PMC9519860 DOI: 10.3389/ijph.2022.1605147] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 08/31/2022] [Indexed: 11/29/2022] Open
Abstract
Objectives: This study aimed to estimate the long-term trends of deaths attributable smoking in China, Japan, the United Kingdom (UK) and the United States (US). Methods: Using 2000–2019 death data from Global Burden of Disease (GBD) 2019, we estimated age-period-cohort effects on smoking attributable mortality, and decomposed of differences in smoking-attributable deaths in 1990 and 2019 into demographic factors. Results: From 1990 to 2019, smoking-attributable deaths increased in China, which was due to population growth and demographic aging. From 1990 to 2019, both age-standardized smoking attributable mortality rates trended downward across countries. Among four countries, age rate ratios (RRs) for smoking-attributable mortality increased with age, while period and cohort RRs decreased with year. Conclusion: The age-standardized mortality rates, period effects and cohort effects of smoking attributable mortality in China, Japan, UK, and US have been declining in both sexes from 1990 to 2019, which suggests that smoke-free policies, help to quit tobacco use, improved health education, more accessible healthcare service, and increased taxes have been effective. Additionally, increased smoking attributable deaths in elderly should got more attention.
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Affiliation(s)
- Haoyu Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Cong Xie
- Hubei Provincial Center for Diseases Control and Prevention, Wuhan, China
| | - Fang Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Yan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Xiaoxue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
- *Correspondence: Chuanhua Yu,
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11
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Zhang L, Wan X, Shi R, Gong P, Si Y. Comparing spatial patterns of 11 common cancers in Mainland China. BMC Public Health 2022; 22:1551. [PMID: 35971087 PMCID: PMC9377081 DOI: 10.1186/s12889-022-13926-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 07/31/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND A stronger spatial clustering of cancer burden indicates stronger environmental and human behavioral effects. However, which common cancers in China have stronger spatial clustering and knowledge gaps regarding the environmental and human behavioral effects have yet to be investigated. This study aimed to compare the spatial clustering degree and hotspot patterns of 11 common cancers in mainland China and discuss the potential environmental and behavioral risks underlying the patterns. METHODS Cancer incidence data recorded at 339 registries in 2014 was obtained from the "China Cancer Registry Annual Report 2017". We calculated the spatial clustering degree of the common cancers using the global Moran's Index and identified the hotspot patterns using the hotspot analysis. RESULTS We found that esophagus, stomach and liver cancer have a significantly higher spatial clustering degree ([Formula: see text]) than others. When by sex, female esophagus, male stomach, male esophagus, male liver and female lung cancer had significantly higher spatial clustering degree ([Formula: see text]). The spatial clustering degree of male liver was significantly higher than that of female liver cancer ([Formula: see text]), whereas the spatial clustering degree of female lung was significantly higher than that of male lung cancer ([Formula: see text]). The high-risk areas of esophagus and stomach cancer were mainly in North China, Huai River Basin, Yangtze River Delta and Shaanxi Province. The hotspots for liver and male liver cancer were mainly in Southeast China and south Hunan. Hotspots of female lung cancer were mainly located in the Pearl River Delta, Shandong, North and Northeast China. The Yangtze River Delta and the Pearl River Delta were high-risk areas for multiple cancers. CONCLUSIONS The top highly clustered cancer types in mainland China included esophagus, stomach and liver cancer and, by sex, female esophagus, male stomach, male esophagus, male liver and female lung cancer. Among them, knowledge of their spatial patterns and environmental and behavioral risk factors is generally limited. Potential factors such as unhealthy diets, water pollution and climate factors have been suggested, and further investigation and validation are urgently needed, particularly for male liver cancer. This study identified the knowledge gap in understanding the spatial pattern of cancer burdens in China and offered insights into targeted cancer monitoring and control.
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Affiliation(s)
- Lin Zhang
- Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, 100084, China.
| | - Xia Wan
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China
| | - Runhe Shi
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
| | - Peng Gong
- Department of Geography and Department of Earth Sciences, University of Hongkong, Hongkong, 999077, China
| | - Yali Si
- Institute of Environmental Sciences CML, Leiden University, Leiden, 2333 CC, The Netherlands.
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12
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Fang Y, Li Z, Chen H, Zhang T, Yin X, Man J, Yang X, Lu M. Burden of lung cancer along with attributable risk factors in China from 1990 to 2019, and projections until 2030. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04217-5. [PMID: 35904601 DOI: 10.1007/s00432-022-04217-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 07/15/2022] [Indexed: 11/26/2022]
Abstract
OBJECTIVE This study aimed to identify and project the epidemiological trends and the burden of lung cancer in China. METHODS We extracted incidence, mortality, disability-adjusted life-years (DALYs) and age-standardized rates of lung cancer in China, between 1990 and 2019, from the Global Burden of Disease Study (2019). The estimated annual percentage change (EAPC) was applied to quantify the trends of lung cancer burden. Furthermore, we used the Bayesian age-period-cohort model to project the incidence and mortality in the next decade. RESULTS From 1990 to 2019, the estimated national number of lung cancer incident cases increased by 224.0% to 832,920, deaths increased by 195.4% to 757,170 and DALYs increased by 146.1% to 17,128,580, respectively. Meanwhile, the ASIR, ASMR and ASDR showed an upward trend (EAPC of 1.33, 0.94 and 0.42, respectively). The ASIR and ASMR among males were about 2 times more than females, but the increase in ASIR in females (EAPC = 2.24) was more obvious than those in males (EAPC = 0.10) from 2020 to 2030. In China, smoking remained responsible for the highest burden of lung cancer, but the contribution of ambient particulate matter pollution to DALYs increased from 10.6% in 1990 to 22.5% in 2019 in total population. Moreover, we predicted that the number of deaths from lung cancer will increase by 42.7% in China by 2030. CONCLUSION In China, the burden of lung cancer has been increasing over the past three decades, which highlights more targeted intervention measures are needed to reduce the burden of lung cancer.
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Affiliation(s)
- Yuan Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhen Li
- Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Hui Chen
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, 250012, Shandong, China
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Tongchao Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, 250012, Shandong, China
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaolin Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jinyu Man
- Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaorong Yang
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, 250012, Shandong, China.
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
| | - Ming Lu
- Department of Epidemiology and Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
- Clinical Epidemiology Unit, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, 250012, Shandong, China.
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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13
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Zheng R, Zhang S, Zeng H, Wang S, Sun K, Chen R, Li L, Wei W, He J. Cancer incidence and mortality in China, 2016. JOURNAL OF THE NATIONAL CANCER CENTER 2022; 2:1-9. [PMID: 39035212 PMCID: PMC11256658 DOI: 10.1016/j.jncc.2022.02.002] [Citation(s) in RCA: 817] [Impact Index Per Article: 408.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/18/2022] [Accepted: 02/19/2022] [Indexed: 12/24/2022] Open
Abstract
Background National Cancer Center (NCC) of China annually reports the nationwide statistics for cancer incidence and mortality using population-based cancer registry data from all available cancer registries in China. Methods There were a total of 487 registries which reported high quality data of cancer incidence and mortality across China in 2016. The nationwide numbers of new cancer cases and deaths were estimated using the pooled cancer registry data, which were stratified by area (urban/rural), sex, age group (0, 1-4, 5-9, 10-14…85+) and cancer site for incidence and mortality, and then multiplied by corresponding national population. The world Segi's population was applied for the calculation of age-standardized rates. Results About 4,064,000 new cancer cases and 2,413,500 new cancer deaths occurred in China in 2016. Cancers of the lung, colon-rectum, stomach, liver and female breast were the top five common cancers, accounting for 57.4% of total cancer new cases. Cancers of the lung, liver, stomach, colon-rectum and esophagus were the five leading causes of cancer deaths, accounting for 69.3% of total cancer deaths. The crude and age-standardized incidence rates (ASIR) were 293.91 and 186.46 per 100,000 population, respectively. The crude mortality rate was 174.55/100,000 and the age-standardized mortality rate (ASMR) was 105.19/100,000. The ASIR was higher but the ASMR was lower in urban areas than that in rural areas. In past decades, the ASIR was relatively stable in males, but significantly increased by about 2.3% per year in females for overall cancers combined. In contrast, the ASMR significantly decreased by about 1.2% per year for both sexes during 2000-2016. Notably, the cancer-specific ASIR and ASMR of esophageal, stomach, and liver cancers decreased significantly, whereas both rates for cancers of the colon-rectum, prostate, female breast, cervix, and thyroid increased significantly. Conclusions Cancer remains a major public health problem in China, which demands long-term collaborative efforts of a broad community. With the national guideline on cancer prevention and control, tailored cancer prevention and control programs are needed in different regions to help reduce the burden of these highly fatal diseases in China.
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Affiliation(s)
- Rongshou Zheng
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Siwei Zhang
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Hongmei Zeng
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Shaoming Wang
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Kexin Sun
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Ru Chen
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Li Li
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Wenqiang Wei
- Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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14
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Du Y, Li Y, Sidorenkov G, Vliegenthart R, Heuvelmans MA, Dorrius MD, Groen HJ, Liu S, Fan L, Ye Z, Greuter MJ, de Bock GH. Cost-effectiveness of lung cancer screening by low-dose CT in China: a micro-simulation study. JOURNAL OF THE NATIONAL CANCER CENTER 2022; 2:18-24. [PMID: 39035210 PMCID: PMC11256619 DOI: 10.1016/j.jncc.2021.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 10/29/2021] [Accepted: 11/02/2021] [Indexed: 10/19/2022] Open
Abstract
Background The effectiveness of lung cancer screening with low-dose computed tomography (LDCT) has been established. The current study evaluates the cost-effectiveness of lung cancer screening with LDCT in a general population in China. Methods A previously validated micro-simulation model was used to simulate a cohort of men and women on a lifetime horizon in the presence and absence of LDCT screening. The modeling data were collected from numerous national and international sources. Simulated screening scenarios included different combinations of screening intervals and start and stop ages. Additional costs (valued in Chinese Yuan, CNY; 1 USD = 6.8976 CNY, 1 EUR = 7.8755 CNY in 2020), life-years gained (LYG) and mortality reduction due to screening were also determined. The costs and life-years were discounted by 3%. All results were scaled to 1,000 individuals. The average cost-effectiveness ratio (ACER) was calculated. A willingness-to-pay threshold of CNY 217.3k / LYG was considered. A healthcare system perspective was adopted. Results Compared to no screening, lung cancer screening by LDCT in a general Chinese population yielded 21.0 - 36.7 LYG in men and 9.2 - 16.6 LYG in women across the scenarios. For men, biennial LDCT screening yielded an ACER of CNY 171.4k - 306.3k / LYG relative to no screening. Biennial screening performed between 55 and 75 years of age was optimal at the defined threshold; it resulted in CNY 174.6k / LYG and a lung cancer mortality reduction of 9.1%, and this scenario had a 75% probability of being cost-effective. For women, the ACER ranged from CNY 364.2k to 1193.3k / LYG. Conclusions In China, lung cancer screening with LDCT in the general population including never smokers could be cost-effective for men with 75% probability, but not for women. The optimal strategy for men would be performing biennial screening between 55 and 75 years of age.
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Affiliation(s)
- Yihui Du
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Yanju Li
- Department of Radiology, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Centre for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Grigory Sidorenkov
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Rozemarijn Vliegenthart
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Marjolein A. Heuvelmans
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Monique D. Dorrius
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Harry J.M. Groen
- Department of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Shiyuan Liu
- Department of Radiology, Shanghai Changzheng Hospital, the Second Military Medical University, Shanghai, China
| | - Li Fan
- Department of Radiology, Shanghai Changzheng Hospital, the Second Military Medical University, Shanghai, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Centre for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Marcel J.W. Greuter
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Geertruida H. de Bock
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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15
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Xia C, Dong X, Li H, Cao M, Sun D, He S, Yang F, Yan X, Zhang S, Li N, Chen W. Cancer statistics in China and United States, 2022: profiles, trends, and determinants. Chin Med J (Engl) 2022; 135:584-590. [PMID: 35143424 PMCID: PMC8920425 DOI: 10.1097/cm9.0000000000002108] [Citation(s) in RCA: 1746] [Impact Index Per Article: 873.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND The cancer burden in the United States of America (USA) has decreased gradually. However, China is experiencing a transition in its cancer profiles, with greater incidence of cancers that were previously more common in the USA. This study compared the latest cancer profiles, trends, and determinants between China and USA. METHODS This was a comparative study using open-source data. Cancer cases and deaths in 2022 were calculated using cancer estimates from GLOBOCAN 2020 and population estimates from the United Nations. Trends in cancer incidence and mortality rates in the USA used data from the Surveillance, Epidemiology, and End Results program and National Center for Health Statistics. Chinese data were obtained from cancer registry reports. Data from the Global Burden of Disease 2019 and a decomposition method were used to express cancer deaths as the product of four determinant factors. RESULTS In 2022, there will be approximately 4,820,000 and 2,370,000 new cancer cases, and 3,210,000 and 640,000 cancer deaths in China and the USA, respectively. The most common cancers are lung cancer in China and breast cancer in the USA, and lung cancer is the leading cause of cancer death in both. Age-standardized incidence and mortality rates for lung cancer and colorectal cancer in the USA have decreased significantly recently, but rates of liver cancer have increased slightly. Rates of stomach, liver, and esophageal cancer decreased gradually in China, but rates have increased for colorectal cancer in the whole population, prostate cancer in men, and other seven cancer types in women. Increases in adult population size and population aging were major determinants for incremental cancer deaths, and case-fatality rates contributed to reduced cancer deaths in both countries. CONCLUSIONS The decreasing cancer burden in liver, stomach, and esophagus, and increasing burden in lung, colorectum, breast, and prostate, mean that cancer profiles in China and the USA are converging. Population aging is a growing determinant of incremental cancer burden. Progress in cancer prevention and care in the USA, and measures to actively respond to population aging, may help China to reduce the cancer burden.
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Affiliation(s)
- Changfa Xia
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xuesi Dong
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - He Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Maomao Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Dianqin Sun
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Siyi He
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Fan Yang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xinxin Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Shaoli Zhang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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16
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Abdel-Rahman O. Disparities in modifiable cancer risk factors among Canadian provinces, territories, and health regions. Curr Med Res Opin 2021; 37:1973-1989. [PMID: 34414833 DOI: 10.1080/03007995.2021.1971184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Data about small area estimates of cancer risk factors are difficult to obtain in Canada. The current study aims to provide an assessment of the prevalence of different behavioral risk factors of cancer at the level of Canadian provinces/territories and sub provincial health regions/units. METHODS Canadian Community Health Survey (CCHS) datasets for 2017/2018 were reviewed and adult participants (≥ 18 years old) were included. Baseline demographic data and health behaviors (including ever-smoking, current smoking, alcohol drinking in the past 12 months, below-recommended physical activity, and obesity) were reviewed. Prevalence of each of these behaviors within different provinces/territories as well as within each health region was reviewed. Multivariable logistic regression analysis was then done to examine the association between place of residence and cancer risk factors. RESULTS A total of 104,636 adult participants were included in the current analysis. For ever-smoking, the highest prevalence was noted in Nunavut (79.7%); for current smoking, the highest prevalence was noted in Nunavut (67.2%); for alcohol drinking in the past 12 months, the highest prevalence was noted in Quebec (89.3%); for below-recommended physical activity, the highest prevalence was noted in Nunavut (51.3%); for obesity, the highest prevalence was noted in Northwest territories (31.5%). Compared to individuals living within a territory, individuals living within a province were less likely to ever smoke (OR: 0.62; 95% CI: 0.54-0.71), currently smoke (OR: 0.51; 95% CI: 0.45-0.59), be obese (OR: 0.82; 95% CI: 0.71-0.95), but more likely to drink alcohol in the past 12 months (OR: 1.41; 95% CI: 1.20-1.65). There is no difference between both categories with regards to physical activity (OR: 1.02; 95% CI: 0.89-1.15). CONCLUSIONS There is a general province/territory disparity in the prevalence of different modifiable cancer risk factors as well as disparity between individual provinces/health regions in Canada.
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Affiliation(s)
- Omar Abdel-Rahman
- Department of Oncology, University of Alberta and Cross Cancer Institute, Edmonton, Canada
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17
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Su Z, McDonnell D, Abbas J, Shi L, Cai Y, Yang L. Secondhand Smoke Exposure of Expectant Mothers in China: Factoring in the Role of Culture in Data Collection. JMIR Cancer 2021; 7:e24984. [PMID: 34617907 PMCID: PMC8532012 DOI: 10.2196/24984] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/26/2020] [Accepted: 12/24/2020] [Indexed: 01/22/2023] Open
Abstract
Cancer is the leading cause of death worldwide. Tobacco smoking, including secondhand smoking, causes cancer and is responsible for over 22% of global cancer deaths. The adverse impacts of secondhand smoke are more pronounced for expectant mothers, and can deteriorate both mothers’ and infants’ health and well-being. Research suggests that secondhand smoke significantly increases expectant mothers’ risk of miscarriage, cancer, and other chronic disease conditions, and exposes their unborn babies to an increased likelihood of having life-long poor health. In China, a pregnant woman’s family members, such as her husband, parents, or in-laws, are the most likely people to be smoking around her. Due to traditional Chinese cultural practices, even though some expectant mothers understand the harm of secondhand smoke, they may be reluctant to report their family members’ smoking behaviors. Resulting in severe underreporting, this compromises health experts’ ability to understand the severity of the issue. This paper proposes a novel approach to measure secondhand smoke exposure of pregnant women in the Chinese context. The proposed system could act as a stepping stone that inspires creative methods to help researchers more accurately measure secondhand smoking rates of expectant mothers in China. This, in turn, could help health experts better establish cancer control measures for expectant mothers and decrease their cancer risk.
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Affiliation(s)
- Zhaohui Su
- Center on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, University of Texas Health San Antonio, San Antonio, TX, United States
| | - Dean McDonnell
- Department of Humanities, Institute of Technology Carlow, Carlow, Ireland
| | - Jaffar Abbas
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lili Shi
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuyang Cai
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai, China
| | - Ling Yang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhang Q, Zeng G, Wang X, Wu KH. Associations of exposure to secondhand smoke with hypertension risk and blood pressure values in adults. Environ Health Prev Med 2021; 26:86. [PMID: 34488622 PMCID: PMC8422707 DOI: 10.1186/s12199-021-01009-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/21/2021] [Indexed: 12/19/2022] Open
Abstract
Background The effects of environmental chemical exposure on blood pressure (BP) have been confirmed, but the association between exposure to secondhand smoke (SHS) and hypertension risk and BP in the general population remains unknown. Methods Cross-sectional associations between SHS exposure and hypertension risk and BP values were evaluated using data for subjects who participated in the National Health and Nutrition Examination Survey (NHANES), 1999–2016. Logistic regression and linear regression were performed after adjusting for age, sex, race, alcohol consumption, poverty-to-income ratio (PIR), body mass index (BMI), estimated glomerular filtration rate, physical activity, diabetes, cardiovascular disease, and NHANES cycle. Restricted cubic spline models were created to display the potential nonlinear association between SHS and BP levels. Results Higher risk of hypertension was found at the highest SHS concentrations (OR = 1.13, 95% CI 1.04, 1.24, P for trend = 0.007). Additionally, SHS exposure had a strong positive association with systolic blood pressure (SBP) but was negatively associated with diastolic blood pressure (DBP). Furthermore, the nonlinear model result showed a significant association between SHS and SBP (P = 0.017); however, the nonlinear model result was not significant for SHS or DBP. Conclusions Our results suggest a potential association between high SHS exposure and the risk of hypertension. Further research is needed to elucidate the underlying mechanisms. Supplementary Information The online version contains supplementary material available at 10.1186/s12199-021-01009-0.
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Affiliation(s)
- Qi Zhang
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China
| | - Guowei Zeng
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China
| | - Xiaowei Wang
- Department of Cardiovascular Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Kai-Hong Wu
- Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing, 210008, China.
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Zheng P, Chen Z, Liu Y, Song H, Wu CH, Li B, Kraemer MUG, Tian H, Yan X, Zheng Y, Stenseth NC, Jia G. Association between coronavirus disease 2019 (COVID-19) and long-term exposure to air pollution: Evidence from the first epidemic wave in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 276:116682. [PMID: 33631687 PMCID: PMC7868737 DOI: 10.1016/j.envpol.2021.116682] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 02/01/2021] [Accepted: 02/03/2021] [Indexed: 05/20/2023]
Abstract
People with chronic obstructive pulmonary disease, cardiovascular disease, or hypertension have a high risk of developing severe coronavirus disease 2019 (COVID-19) and of COVID-19 mortality. However, the association between long-term exposure to air pollutants, which increases cardiopulmonary damage, and vulnerability to COVID-19 has not yet been fully established. We collected data of confirmed COVID-19 cases during the first wave of the epidemic in mainland China. We fitted a generalized linear model using city-level COVID-19 cases and severe cases as the outcome, and long-term average air pollutant levels as the exposure. Our analysis was adjusted using several variables, including a mobile phone dataset, covering human movement from Wuhan before the travel ban and movements within each city during the period of the emergency response. Other variables included smoking prevalence, climate data, socioeconomic data, education level, and number of hospital beds for 324 cities in China. After adjusting for human mobility and socioeconomic factors, we found an increase of 37.8% (95% confidence interval [CI]: 23.8%-52.0%), 32.3% (95% CI: 22.5%-42.4%), and 14.2% (7.9%-20.5%) in the number of COVID-19 cases for every 10-μg/m3 increase in long-term exposure to NO2, PM2.5, and PM10, respectively. However, when stratifying the data according to population size, the association became non-significant. The present results are derived from a large, newly compiled and geocoded repository of population and epidemiological data relevant to COVID-19. The findings suggested that air pollution may be related to population vulnerability to COVID-19 infection, although the extent to which this relationship is confounded by city population density needs further exploration.
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Affiliation(s)
- Pai Zheng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, China
| | - Zhangjian Chen
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, China
| | - Yonghong Liu
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
| | - Hongbin Song
- Center for Disease Control and Prevention of Chinese People's Liberation Army, Beijing, China
| | - Chieh-Hsi Wu
- School of Mathematical Sciences, University of Southampton, Southampton, UK
| | - Bingying Li
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
| | - Moritz U G Kraemer
- Department of Zoology, University of Oxford, Oxford, UK; Harvard Medical School, Harvard University, Boston, MA, USA; Boston Children's Hospital, Boston, MA, USA
| | - Huaiyu Tian
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
| | - Xing Yan
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
| | - Yuxin Zheng
- School of Public Health, Qingdao University, Qingdao, Shandong, China
| | - Nils Chr Stenseth
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Oslo, Norway
| | - Guang Jia
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, China.
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Rao W, Lin Z, Liu S, Zhang Z, Xie Q, Chen H, Lin X, Chen Y, Yang H, Yu K, Hu Z. Association between alcohol consumption and oesophageal microbiota in oesophageal squamous cell carcinoma. BMC Microbiol 2021; 21:73. [PMID: 33673801 PMCID: PMC7936487 DOI: 10.1186/s12866-021-02137-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 02/24/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Microbiota has been reported to play a role in cancer patients. Nevertheless, little is known about the association between alcohol consumption and resultant changes in the diversity and composition of oesophageal microbiota in oesophageal squamous cell carcinoma (ESCC). METHODS We performed a hospital-based retrospective study of 120 patients with pathologically diagnosed primary ESCC. The relevant information for all study participants were collected through a detailed questionnaire. The differences in adjacent tissues between non-drinkers and drinkers were explored using 16S rRNA gene sequencing. Raw sequencing data were imported into QIIME 2 to analyse the diversity and abundance of microbiota. Linear discriminant analysis effect size (LEfSe) and unconditional logistic regression were performed to determine the bacterial taxa that were associated with drinking. RESULTS The Shannon diversity index and Bray-Curtis distance of oesophageal microbiota were significantly different among drinkers(P < 0.05). The alcohol-related bacteria were primarily from the orders Clostridiales, Gemellales and Pasteurellales, family Clostridiaceae, Lanchnospiraceae, Helicobacteraceae, Alcaligenaceae, Bacteroidaceae, Pasteurellaceae and Gemellaceae; genus Clostridium, Helicobacter, Catonella, Bacteroides, Bacillus, Moraxella, and Bulleidia; and species B. moorei and longum (genus Bifidobacterium). In addition, the diversity and abundance of these microbiota were observed to be affected by the age, residential districts of the patients, and sampling seasons. Moreover, the higher the frequency and years of alcohol consumption, the lower was the relative abundance of genus Catonella that was observed. CONCLUSION Alcohol consumption is associated with alterations in both the diversity and composition the of the oesophageal microbiota in ESCC patients.
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Affiliation(s)
- Wenqing Rao
- Department of Epidemiology and Health Statistics, Fujian Medical University Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Zheng Lin
- Department of Epidemiology and Health Statistics, Fujian Medical University Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Shuang Liu
- Department of Epidemiology and Health Statistics, Fujian Medical University Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Zhihui Zhang
- Department of Epidemiology and Health Statistics, Fujian Medical University Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Qianwen Xie
- Department of Epidemiology and Health Statistics, Fujian Medical University Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Huilin Chen
- Department of Radiation Oncology, Anxi County Hospital, Quanzhou, 352400, China
| | - Xi Lin
- Department of Statistics Office, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, 363000, China
| | - Yuanmei Chen
- Department of Thoracic Surgery, Fujian Provincial Cancer Hospital Affiliation to Fujian Medical University, Fuzhou, 350014, China
| | - Huimin Yang
- Department of Epidemiology and Health Statistics, Fujian Medical University Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Kaili Yu
- Department of Epidemiology and Health Statistics, Fujian Medical University Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350122, China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, Fujian Medical University Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
- Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, 350122, China.
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21
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Komonpaisarn T. Economic cost of tobacco smoking and secondhand smoke exposure at home in Thailand. Tob Control 2021; 31:714-722. [PMID: 33632807 DOI: 10.1136/tobaccocontrol-2020-056147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 12/26/2020] [Accepted: 01/02/2021] [Indexed: 11/04/2022]
Abstract
IntroductionSmoking is an important public health concern. This study is the first that attempts to estimate the economic cost of smoking and secondhand smoke (SHS) exposure at home in Thailand.MethodA prevalence-based cost of illness approach following the guideline by WHO is employed.ResultIn 2017, the direct morbidity cost attributable to smoking and SHS exposure at home in Thailand was estimated to be at least US$265.97 million and US$23.66 million, respectively. Indirect morbidity costs from workday loss totalling US$25.04 million can be linked to smoking, while US$1.72 million was the result of SHS exposure at home. Smoking-attributable premature deaths resulted in an opportunity loss to the country equivalent to US$2.48 billion, while the figure was US$181.41 million for SHS exposure at home. Total years of life lost due to smoking and SHS-attributable premature deaths are estimated to have been at least 390 955 years for males and 82 536 years for females. The total economic cost from both types of tobacco exposure amounted to US$2.98 billion, equivalent to 17.41% of Thailand's current health expenditure or 0.65% of its gross domestic product in 2017.ConclusionSmoking imposed a substantial economic burden on Thailand in 2017. Seven per cent of this cost was imposed on non-smokers sharing a residence with smokers. Females bore 80% of this SHS-related cost. The findings call for prompt responses from public health agencies in Thailand to launch effective tobacco control policies.
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Affiliation(s)
- Touchanun Komonpaisarn
- Centre for Health Economics, Faculty of Economics, Chulalongkorn University, Bangkok, Thailand
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22
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Duan Z, Wang Y, Huang J, Redmon PB, Eriksen MP. Secondhand smoke (SHS) exposure before and after the implementation of the Tobacco Free Cities (TFC) initiative in five Chinese cities: a pooled cross-sectional study. BMJ Open 2020; 10:e044570. [PMID: 33376183 PMCID: PMC7778775 DOI: 10.1136/bmjopen-2020-044570] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 12/03/2020] [Accepted: 12/07/2020] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVES To assess the levels of secondhand smoke (SHS) exposure before and after the implementation of the Tobacco Free Cities (TFC) initiative. DESIGN City-wide representative, cross-sectional surveys (Tobacco Questions for Surveys, TQS) were conducted in each participating city before and after the implementation of TFC. SETTING Five large Chinese cities (Chengdu, Chongqing, Wuhan, Xiamen and Xi'an) participated in the TFC initiative. PARTICIPANTS A total of 10 184 adults participated in the 2015 TQS survey, and 10 233 adults participated in the 2018 TQS survey, respectively. INTERVENTIONS The TFC initiative, which included targeted media campaigns, educational programmes, implementing city-wide smoke-free policies and providing cessation interventions, was implemented in these five cities between 2015 and 2018. MAIN OUTCOME Self-reported past 30-day (P30D) SHS exposure in indoor workplaces, restaurants and homes. DATA ANALYSIS The pre-TFC and post-TFC SHS exposure levels were compared among all residents and among certain population subgroups. Multivariate logistic regressions were used to estimate the adjusted associations between P30D SHS exposure and individual characteristics. RESULTS Across all five cities, the overall rate of self-reported P30D SHS exposure declined in indoor workplaces (from 49.6% (95% CI: 46.4% to 52.8%) to 41.2% (95% CI: 37.7% to 44.7%)), restaurants (from 72.4% (95% CI: 69.8% to 74.9%) to 61.7% (95% CI: 58.7% to 64.7%)) and homes (from 39.8% (95% CI: 36.9% to 42.7%) to 34.7% (95% CI: 31.5% to 37.8%)) from 2015 to 2018. These declines were statistically significant after controlling for individual characteristics. The P30D SHS exposure was associated with sex, age, education level, occupation and current smoking status. The associations varied by venues. CONCLUSIONS Our analysis showed that compared with the nationwide SHS exposure levels reported in concurrent national surveys, the declines in P30D SHS exposure in five Chinese cities that implemented the TFC initiative were larger in indoor workplaces and restaurants. Our findings suggest that the TFC initiative was effective in reducing SHS exposure in Chinese cities.
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Affiliation(s)
- Zongshuan Duan
- School of Public Health, Georgia State University, Atlanta, Georgia, USA
| | - Yu Wang
- School of Public Health, Georgia State University, Atlanta, Georgia, USA
| | - Jidong Huang
- School of Public Health, Georgia State University, Atlanta, Georgia, USA
| | - Pamela B Redmon
- Global Health Institute, Emory University, Atlanta, Georgia, USA
| | - Michael P Eriksen
- School of Public Health, Georgia State University, Atlanta, Georgia, USA
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Sun D, Li H, Cao M, He S, Lei L, Peng J, Chen W. Cancer burden in China: trends, risk factors and prevention. Cancer Biol Med 2020; 17:879-895. [PMID: 33299641 PMCID: PMC7721090 DOI: 10.20892/j.issn.2095-3941.2020.0387] [Citation(s) in RCA: 126] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 10/21/2020] [Indexed: 12/15/2022] Open
Abstract
As the most populous country in the world, China has made strides in health promotion in the past few decades. With the aging population, the burden of cancer in China continues to grow. Changes in risk factors for cancer, especially diet, obesity, diabetes, and air pollution, continue to fuel the shift of cancer transition in China. The burden of upper gastrointestinal cancer in China is decreasing, but still heavy. The rising burden of colorectal, prostate, and breast cancers is also significant. Lung cancer became the top cause of cancer-related deaths, together with smoking as the most important contributor to cancer deaths. The Chinese government has taken several approaches to control cancer and cancer-related risk factors. Many achievements have been made, but some challenges remain. Health China 2030 is ambitious and depicts a bright vision of the future for cancer control in China. The decrease in the cancer burden in China will require cross-sector collaboration and coordinated efforts on primary and secondary preventions by governments, public health organizations, and individuals. In this review, we describe the trends of cancer burden and discuss cancer-related risk factors in China, identifying strategies to reduce the burden of cancer in China.
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Affiliation(s)
- Dianqin Sun
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - He Li
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Maomao Cao
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Siyi He
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Lin Lei
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Ji Peng
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Wanqing Chen
- Department of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Yu L, Cheng J, Cui X, Wang J. Province-specific smoking-attributable cancer mortality in China 2013. Tob Induc Dis 2020; 18:49. [PMID: 32547352 PMCID: PMC7291958 DOI: 10.18332/tid/122013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 04/30/2020] [Accepted: 05/04/2020] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Province-specific initiatives are at the forefront of tobacco control but limited studies have provided province-specific assessment of smoking-attributable cancer burden in China. METHODS We estimated the fraction of total and site-specific cancer mortality attributable to tobacco smoking in 31 provinces in mainland China. The population attributable fractions (PAFs) for cancer deaths due to smoking were calculated by Levin's formula using province-specific smoking prevalence data around 1998 (assuming a 15-year latency time) and relative risks from cohort studies and meta-analyses. The 95% confidence intervals (CIs) of PAFs were calculated by a Delta method. Cancer deaths were abstracted from cancer registry data of the 31 provinces in mainland China in 2013. RESULTS Overall, smoking contributed to a total of 421566 cancer deaths in mainland China in 2013 (19.46% of all cancer deaths), with 400701 of these deaths occurring in men (29.34%) and 20865 (2.61%) in women. The population attributable fractions ranged from 15.56% (95% CI: 9.12-21.82%) in Tibet to 35.09% (95% CI: 25.68-45.83%) in Guizhou among men, and from 0.28% (95% CI: 0.00-0.64%) in Hainan to 10.44% (95% CI: 4.86-16.32%) in Jilin among women. Cancers of lung and liver were the two main smoking-attributable cancers for both men and women. CONCLUSIONS Tobacco smoking was responsible for nearly 20% of all cancer deaths in mainland China, but the proportion of cancer deaths attributable to smoking varied substantially across provinces. More effective programs and innovative new strategies for local tobacco control are warranted to reduce the future burden of smoking-related cancers in all provinces of mainland China.
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Affiliation(s)
- Linjie Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, People’s Republic of China
| | - Junxia Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang University, Hangzhou, People’s Republic of China
| | - Xiaoli Cui
- Department of Gynecologic Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, People’s Republic of China
| | - Jianbing Wang
- Department of Epidemiology and Biostatistics, The Children’s Hospital, National Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
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Catastrophic health expenditure: A comparative analysis of smoking and non-smoking households in China. PLoS One 2020; 15:e0233749. [PMID: 32469973 PMCID: PMC7259713 DOI: 10.1371/journal.pone.0233749] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 05/11/2020] [Indexed: 11/18/2022] Open
Abstract
Introduction Smoking is hazardous to health and places a heavy economic burden on individuals and their families. Clearly, smoking in China is prevalent since China is the largest consumer of tobacco in the world. Chinese smoking and nonsmoking households were compared in terms of the incidence and intensity of Catastrophic Health Expenditures (CHEs). The factors associated with catastrophic health expenditures were analyzed. Methods Data for this study were collected from two waves of panel data in 2011 and 2013 from the national China Health and Retirement Longitudinal Study (CHARLS). A total of 8073 households with at least one member aged above 45 were identified each year. Catastrophic health expenditure was measured by the ratio of a household’s out-of-pocket healthcare payments (OOP) to the household’s Capacity to Pay (CTP). A panel logit random-effects model was used to examine correlates with catastrophic health expenditure. Results The incidence of catastrophic health expenditures for Chinese households with members aged 45 and above in 2011 and 2013 were 12.99% and 15.56%, respectively. The mean gaps (MGs) were 3.16% and 4.88%, respectively, and the mean positive gaps (MPGs) were 24.36% and 31.40%, respectively. The incidences of catastrophic health expenditures were 17.41% and 20.03% in former smoking households, 12.10% and 15.09% in current smoking households, and 12.72% and 13.64% in nonsmoking households. In the panel logit regression model analysis, former smoking households (OR = 1.444, P<0.001) were more prone to catastrophic health expenditures than nonsmoking households. Risk factors for catastrophic health expenditures included members with chronic diseases (OR = 4.359, P<0.001), hospitalized patients (OR = 8.60, P<0.001), elderly people aged above 65 (OR = 1.577, P<0.001), or persons with disabilities (OR = 1.275, P<0.001). Protective factors for catastrophic health expenditures included being in an urban household, having a larger family size, and having a higher household income. Conclusions The incidence of catastrophic health expenditures in Chinese households is relatively high. Smoking is one of the primary risk factors for catastrophic health expenditures. Stronger interventions against smoking should be made in time to reduce the occurrence of health issues caused by smoking and the financial losses for individuals, families and society.
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Lung Cancer Mortality in China. Chest 2019; 156:972-983. [DOI: 10.1016/j.chest.2019.07.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 07/04/2019] [Accepted: 07/31/2019] [Indexed: 02/07/2023] Open
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Understanding the Global Cancer Statistics 2018: implications for cancer control. SCIENCE CHINA-LIFE SCIENCES 2019; 64:1017-1020. [PMID: 31463738 DOI: 10.1007/s11427-019-9816-1] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 07/16/2019] [Indexed: 01/05/2023]
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Zeng Q, Vogtmann E, Jia M, Parascandola M, Li J, Wu Y, Feng Q, Zou X. Tobacco smoking and trends in histological subtypes of female lung cancer at the Cancer Hospital of the Chinese Academy of Medical Sciences over 13 years. Thorac Cancer 2019; 10:1717-1724. [PMID: 31293059 PMCID: PMC6669800 DOI: 10.1111/1759-7714.13141] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 06/20/2019] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Lung cancer is the leading cause of cancer mortality among women in China, and incidence and mortality continue to rise despite the fact that smoking prevalence is very low among Chinese women. AIM This study investigated tobacco smoking and trends in histological subtypes of female lung cancer in a central cancer hospital in China. METHODS Demographic, smoking history and histological information on female lung cancer patients diagnosed or treated from 2000 to 2012 was collected from the Cancer Hospital, Chinese Academy of Medical Science (CHCAMS). The classification of histological subtypes and clinical stages were conducted using the ICD-O-3 and Eighth AJCC Cancer Staging Manuals. Time-trends of histological subtypes were analyzed based on annual percentage change (APC). RESULTS Overall, 5870 female cases of lung cancer were included in the analysis. The number of female lung cancer patients increased from 509 (2000-2002) to 1744 (2011-2012). The most common histological type of lung cancer was adenocarcinoma (ADC) (72.93%), followed by small cell lung cancer (SCLC) (11.06%), squamous cell carcinoma (SCC) (8.38%) and other (7.63%). Among smokers, the proportion of SCC decreased from 40.5% to 23.7% (P = 0.005), while ADC increased from 35.7% to 50.7% (P = 0.009). In non-smokers, ADC increased from 63.1% to 80.6% (P = 0.006) and SCC decreased from 13.6% to 4.5% (P = 0.016). Among SCC cases, smokers made up a larger proportion of early stage (I/II: 47.1%) compared with late stages (III, 34.3%; IV, 18.6%). CONCLUSION The number of female lung cancer patients has increased in CHCAMS. In both smoking and non-smoking cases, the proportion of adenocarcinoma increased. Squamous cell carcinomas were more likely to be diagnosed in early stages among smokers.
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Affiliation(s)
- Qiang Zeng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Emily Vogtmann
- Metabolic Epidemiology BranchNational Cancer Institute Division of Cancer Epidemiology and Genetics, BethesdaMarylandUSA
| | - Man‐man Jia
- Department of Gynecological OncologyHenan Cancer HospitalZhengzhouChina
| | - Mark Parascandola
- Tobacco Control Research BranchNational Cancer Institute Division of Cancer Control and Population Sciences, Bethesda, MarylandUSA
| | - Ji‐bin Li
- Office of Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yan‐ling Wu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Qin‐fu Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xiao‐nong Zou
- Office of Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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Abstract
China is in the midst of a lung cancer epidemic on an unprecedented scale. In 2015, there were an estimated 733,000 new lung cancer cases (17% of total cancer incidence) and 610,000 deaths (21.7% of total cancer mortality) in China. Lung cancer is the most commonly diagnosed cancer and the leading cause of cancer mortality in China. Tobacco smoke exposure is the primary factor driving current lung cancer trends. In 2015, smoking prevalence was 27.7% (52.1% among men and 2.7% among women). China has taken substantial steps to control tobacco use in recent years, including 19 cities implementing comprehensive smoke free laws and expansion of cessation services. However, significant challenges remain in order to meet the 2030 Healthy China goal of reducing smoking prevalence to 20%. In particular, ongoing attention is needed to continuing to control secondhand smoke exposure, to further enhance smoking cessation services, and to address novel alternative nicotine delivery devices (ANDS).
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Affiliation(s)
- Mark Parascandola
- Tobacco Control Research Branch, National Cancer Institute, Bethesda, MD, USA
| | - Lin Xiao
- Center for Disease Control and Prevention, Beijing 102206, China
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Han X, Guo Y, Gao H, Ma J, Sang M, Zhou S, Huang T, Mao X. Estimating the spatial distribution of environmental suitability for female lung cancer mortality in China based on a novel statistical method. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:10083-10096. [PMID: 30756355 DOI: 10.1007/s11356-019-04444-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2018] [Accepted: 01/30/2019] [Indexed: 06/09/2023]
Abstract
Lung cancer as one of the major causes of cancer mortality has been demonstrated to be closely related to the ambient atmospheric environment, but little has been done in the synthetic evaluation of the linkage between cancer mortality and combined impact of ambient air pollution and meteorological conditions. The present study determined the environmental suitability for female lung cancer mortality associated with air contaminants and meteorological variables. A novel fuzzy matter-element method was applied to identify the spatial distribution and regions for the environmental suitability for the female lung cancer mortality across China in 2013. The membership functions between the cancer mortality and 6 environmental factors, including PM2.5, NO2, SO2, PM10, the annual mean wind speed, and mean temperature, were generated and the weights of each of the environmental factors were established by the maximum entropy (MaxEnt) model. We categorized the environmental suitability combined with GIS spatial analysis into three zones, including low-suitable, medium-suitable, and high-suitable region where the cancer mortality ranging from low to high rate was identified. These three zones were quantified by the MaxEnt model taking different air pollutants and meteorological variables into consideration. We identified that NO2 was a most significant factor among the 6 environmental factors with the weight of 24.88%, followed by the annual mean wind speed, SO2, and PM2.5. The high-suitable area, mainly in the North China Plain which is a most heavily contaminated region by air pollution in China, covers 1.6195 million square kilometers, accounting for 17.85% of the total area investigated in this study. Identification of the impact of various environmental factors on cancer mortality in the different suitable area provides a scientific basis for the environmental management, risk assessment, and lung cancer control.
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Affiliation(s)
- Xiao Han
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Yanlong Guo
- Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, Gansu, China
| | - Hong Gao
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China.
| | - Jianmin Ma
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
- College of Urban and Environmental Science, Peking University, Beijing, 100000, China
| | - Manjie Sang
- Research Center for Eco-Environment Sciences in Shanxi, Taiyuan, 030000, Shanxi, China
| | - Sheng Zhou
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Tao Huang
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Xiaoxuan Mao
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
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