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Mazidimoradi A, Ghavidel F, Momenimovahed Z, Allahqoli L, Salehiniya H. Global incidence, mortality, and burden of esophageal cancer, and its correlation with SDI, metabolic risks, fasting plasma glucose, LDL cholesterol, and body mass index: An ecological study. Health Sci Rep 2023; 6:e1342. [PMID: 37324248 PMCID: PMC10265723 DOI: 10.1002/hsr2.1342] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/24/2023] [Accepted: 05/21/2023] [Indexed: 06/17/2023] Open
Abstract
Background and Aims Esophageal cancer (EC) is one of the most common gastrointestinal malignancies. The geographical variation shows the influence of genetic factors, ethnicity, and distribution of various risk factors. Accurate knowledge of EC epidemiology at the global level will help to develop management strategies. Therefore, the present study was conducted to investigate the global and regional disease burden of EC, including the incidence, mortality, and burden of this cancer in 2019. Methods Incidence, mortality, disability-adjusted life years (DALYs), and age-standardized rates (ASRs) associated with EC in 204 countries in different classifications were extracted from the global burden of disease study. After collecting information on metabolic risks, fasting plasma glucose (FPG), low-density lipoprotein (LDL) cholesterol, and body mass index (body mass index), the relationship between age-standardized incidence rate (ASIR), mortality rate, and DALYs with these variables was determined. Results In 2019, 534,563 new cases of EC were reported worldwide. The highest ASIR is related to regions with medium sociodemographic index (SDI), and high middle income according to the World Bank, the Asian continent, and the western Pacific region. In 2019, a total of 498,067 deaths from EC were recorded. The highest mortality rate due to ASR is in countries with medium SDI and countries with upper middle income of the World Bank. In 2019, 1,166,017 DALYs were reported due to EC. The ASIR, ASDR, and DALYS ASR of EC showed a significant negative linear correlation with SDI, metabolic risks, high FPG, high LDL cholesterol, and high BMI (p < 0.05). Conclusions The results of this study showed significant gender and geographic variation in the incidence, mortality, and burden of EC. It is recommended to design and implement preventive approaches based on known risk factors and improve quality and access to efficient and appropriate treatments.
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Affiliation(s)
| | - Fatemeh Ghavidel
- Department of Epidemiology and BiostatisticsTehran University of Medical SciencesTehranIran
| | | | | | - Hamid Salehiniya
- Social Determinants of Health Research CenterBirjand University of Medical SciencesBirjandIran
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Lee S, Jang J, Abe SK, Rahman S, Saito E, Islam R, Gupta PC, Sawada N, Tamakoshi A, Shu XO, Koh WP, Sadakane A, Tsuji I, Kim J, Oze I, Nagata C, You SL, Shin MH, Pednekar MS, Tsugane S, Cai H, Yuan JM, Wen W, Ozasa K, Matsuyama S, Kanemura S, Shin A, Ito H, Wada K, Sugawara Y, Chen CJ, Ahn YO, Chen Y, Ahsan H, Boffetta P, Chia KS, Matsuo K, Qiao YL, Rothman N, Zheng W, Inoue M, Kang D, Park SK. Association between body mass index and oesophageal cancer mortality: a pooled analysis of prospective cohort studies with >800 000 individuals in the Asia Cohort Consortium. Int J Epidemiol 2022; 51:1190-1203. [PMID: 35229874 PMCID: PMC9365631 DOI: 10.1093/ije/dyac023] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Accepted: 02/03/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND The association between body mass index (BMI) and oesophageal cancer (OC) has been consistently negative among Asians, whereas different associations based on histological OC subtypes have been observed in Europeans and North Americans. We examined the association between BMI and OC mortality in the Asia Cohort Consortium. METHODS We performed a pooled analysis to evaluate the association between BMI and OC mortality among 842 630 Asians from 18 cohort studies. Cox regression models were used to estimate hazard ratios (HRs) and 95% CIs. RESULTS A wide J-shaped association between BMI and overall OC mortality was observed. The OC mortality risk was increased for underweight (BMI <18.5 kg/m2: HR = 2.20, 95% CI 1.80-2.70) and extreme obesity (BMI ≥35 kg/m2: HR = 4.38, 95% CI 2.25-8.52) relative to the reference BMI (23-25 kg/m2). This association pattern was confirmed by several alternative analyses based on OC incidence and meta-analysis. A similar wide J-shaped association was observed in oesophageal squamous cell carcinoma (OSCC). Smoking and alcohol synergistically increased the OC mortality risk in underweight participants (HR = 6.96, 95% CI 4.54-10.67) relative to that in reference BMI participants not exposed to smoking and alcohol. CONCLUSION Extreme obesity and being underweight were associated with an OC mortality risk among Asians. OC mortality and BMI formed a wide J-shaped association mirrored by OSCC mortality. Although the effect of BMI on OSCC and oesophageal adenocarcinoma mortality can be different in Asians, further research based on a large case-control study is recommended.
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Affiliation(s)
- Sangjun Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Jieun Jang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Sarah Krull Abe
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shafiur Rahman
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan,Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan
| | - Eiko Saito
- Division of Cancer Statistics Integration, Center for Cancer Control & Information Services, National Cancer Center, Tokyo, Japan
| | - Rashedul Islam
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan,Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Prakash C Gupta
- Healis—Sekhsaria Institute for Public Health, Mahape, Navi Mumbai, India
| | - Norie Sawada
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, Singapore, Singapore,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Jeongseon Kim
- Graduate School of Science and Policy, National Cancer Center, Goyang, Korea
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Naogya, Japan
| | - Chisato Nagata
- Graduate School of Medicine, Gifu University, Gifu, Japan
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, Taipei, Taiwan
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mangesh S Pednekar
- Healis—Sekhsaria Institute for Public Health, Mahape, Navi Mumbai, India
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Hui Cai
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wanqing Wen
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Kotaro Ozasa
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Sanae Matsuyama
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan,Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keiko Wada
- Graduate School of Medicine, Gifu University, Gifu, Japan
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Miyagi, Japan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yu Chen
- Departments of Population Health and Environmental Medicine, New York University School of Medicine, New York, USA
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA,Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Naogya, Japan,Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - You-Lin Qiao
- Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology & Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, Maryland, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, USA
| | - Manami Inoue
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea,Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sue K Park
- Corresponding author. Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongro-gu, Seoul 03080, Korea. E-mail:
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Cai Y, Lin J, Wei W, Chen P, Yao K. Burden of esophageal cancer and its attributable risk factors in 204 countries and territories from 1990 to 2019. Front Public Health 2022; 10:952087. [PMID: 36148334 PMCID: PMC9485842 DOI: 10.3389/fpubh.2022.952087] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 08/15/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Esophageal cancer is a global health concern. Regularly updated data about the burden of esophageal cancer are essential for formulating specific public policies. We aimed to estimate the global, regional, and national burden and trends of esophageal cancer and its attributable risk factors from 1990 to 2019, by age, sex and socio-demographic index (SDI). METHODS Data about the incidence, death, disability-adjusted life-years (DALYs), and age-standardized rates were collected from Global Burden of Disease study 2019. Estimated annual percentage changes were used to quantify the temporal trends of age-standardized rates. Moreover, the risk factors attributable to esophageal cancer deaths were also presented. RESULTS There were 534,563 incident cases and 498,067 deaths in 2019, contributing to 11,666,017 DALYs. The absolute numbers of incidence, death, and DALYs had increased from 1990 to 2019, contrasting with declined changes in their corresponding age-standardized rates. The burden of esophageal cancer varied across different regions and countries, and the age-standardized rates were negative with SDI. Almost half of the esophageal cancer was concentrated in China. Males accounted for most of the burden of esophageal cancer, and the onset age tended to be older. The death of esophageal cancer was primarily attributable to smoking, followed by alcohol use, high body mass index, diet low in fruits and diet low in vegetables. CONCLUSION The burden of esophageal cancer was heterogeneous across regions and countries by sex, age, and SDI, providing information for governments that may help to formulate more targeted policies.
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Affiliation(s)
- Yanqing Cai
- Department of Medical Oncology, Jieyang People's Hospital, Jieyang, China
| | - Jianxiong Lin
- Department of Medical Oncology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Wenbo Wei
- Department of General Surgery, Jieyang People's Hospital, Jieyang, China
| | - Peixing Chen
- Department of Medical Oncology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Kaitao Yao
- Department of Medical Oncology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
- *Correspondence: Kaitao Yao
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He Y, Liang D, Du L, Guo T, Liu Y, Sun X, Wang N, Zhang M, Wei K, Shan B, Chen W. Clinical characteristics and survival of 5283 esophageal cancer patients: A multicenter study from eighteen hospitals across six regions in China. Cancer Commun (Lond) 2020; 40:531-544. [PMID: 32845581 PMCID: PMC7571391 DOI: 10.1002/cac2.12087] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 08/06/2020] [Indexed: 12/13/2022] Open
Abstract
Objective This study aimed to investigate the potential determining epidemiological and clinical risk factors affecting the survival of esophageal cancer (EC) patients across multiple hospitals in China. Methods This was a multicenter study comprising of newly diagnosed EC cases from Beijing, Hebei, Henan, Hubei, Zhejiang, and Guangdong Province of China. Their baseline characteristics and treatment methods data were collected from their medical records. The EpiData software was used for data quality control. The Kaplan‐Meier method was used to estimate their overall survival (OS), and the Cox's proportional hazard regression model was used to estimate hazard ratios (HR) and 95% confidence interval (CI). Results The 3‐ and 5‐year OS rates of the 5283 investigated EC patients were 49.98% and 39.07%, respectively. Their median survival was 36.00 months. The median survival time of females was longer than that of males (females vs. males: 45.00 vs. 33.00, P < 0.001). The 5‐year OS rate of patients who never‐smoked was higher than that of smokers (never‐smokers vs smokers: 40.73% vs. 37.84%, P = 0.001). There was no significant difference in the 5‐year OS rate between drinkers and never‐drinkers (drinkers vs never‐drinkers: 34.22% vs. 29.65%, P = 0.330). In multivariate analysis, pathological stage (stage II: HR = 1.80, 95% CI = 1.40‐2.31; stage III: HR = 2.62, 95% CI = 2.06‐3.34; stage IV: HR = 3.90, 95% CI = 2.98‐5.09), poor differentiation/undifferentiated (HR = 1.34, 95% CI = 1.11‐1.63), not married status (HR = 2.45, 95% CI = 1.49‐4.04), production and service personnel (HR = 1.36, 95% CI = 1.01‐1.83) and farming/fishing (HR = 1.40, 95% CI = 1.12‐1.76) were independent prognostic risk factors for poor EC survival. Tumors in the thoracic or abdominal part of the esophagus, female and family history of any cancer were independent factors predictive of a good EC OS. Conclusion Gender, marital status, occupation, family history of any cancer, tumor topographical site, differentiation status, and pathological stage were associated with the survival rate of EC. This study reveals important clinical characteristics of esophageal cancer patients in China and provides helpful information for their clinical management and surveillance.
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Affiliation(s)
- Yutong He
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Di Liang
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Lingbin Du
- Zhejiang Cancer Center, Hangzhou, Zhejiang, 310000, P. R. China
| | - Tiantian Guo
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Yanyu Liu
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Xibin Sun
- Henan Cancer Hospital, Zhengzhou, Henan, 450000, P. R. China
| | - Ning Wang
- Beijing Cancer Hospital, Beijing, 100021, P. R. China
| | - Min Zhang
- Hubei Cancer Hospital, Wuhan, Hubei, 430000, P. R. China
| | - Kuangrong Wei
- Zhongshan Cancer Hospital, Zhongshan, Guangdong, 528400, P. R. China
| | - Baoen Shan
- Cancer Institute, the Fourth Hospital of Hebei Medical University/the Tumor Hospital of Hebei Province, Shijiazhuang, Hebei, 050000, P. R. China
| | - Wanqing Chen
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100021, P. R. China
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Fahey PP, Page A, Stone G, Astell-Burt T. Augmenting cancer registry data with health survey data with no cases in common: the relationship between pre-diagnosis health behaviour and post-diagnosis survival in oesophageal cancer. BMC Cancer 2020; 20:496. [PMID: 32487049 PMCID: PMC7268470 DOI: 10.1186/s12885-020-06990-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 05/21/2020] [Indexed: 12/24/2022] Open
Abstract
Background For epidemiological research, cancer registry datasets often need to be augmented with additional data. Data linkage is not feasible when there are no cases in common between data sets. We present a novel approach to augmenting cancer registry data by imputing pre-diagnosis health behaviour and estimating its relationship with post-diagnosis survival time. Methods Six measures of pre-diagnosis health behaviours (focussing on tobacco smoking, ‘at risk’ alcohol consumption, overweight and exercise) were imputed for 28,000 cancer registry data records of US oesophageal cancers using cold deck imputation from an unrelated health behaviour dataset. Each data point was imputed twice. This calibration allowed us to estimate the misclassification rate. We applied statistical correction for the misclassification to estimate the relative risk of dying within 1 year of diagnosis for each of the imputed behaviour variables. Subgroup analyses were conducted for adenocarcinoma and squamous cell carcinoma separately. Results Simulated survival data confirmed that accurate estimates of true relative risks could be retrieved for health behaviours with greater than 5% prevalence, although confidence intervals were wide. Applied to real datasets, the estimated relative risks were largely consistent with current knowledge. For example, tobacco smoking status 5 years prior to diagnosis was associated with an increased age-adjusted risk of all cause death within 1 year of diagnosis for oesophageal squamous cell carcinoma (RR = 1.99 95% CI 1.24,3.12) but not oesophageal adenocarcinoma RR = 1.61, 95% CI 0.79,2.57). Conclusions We have demonstrated a novel imputation-based algorithm for augmenting cancer registry data for epidemiological research which can be used when there are no cases in common between data sets. The algorithm allows investigation of research questions which could not be addressed through direct data linkage.
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Affiliation(s)
- Paul P Fahey
- School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Andrew Page
- Translational Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Glenn Stone
- School of Computing, Engineering and Mathematics, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
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Fahey PP, Page A, Stone G, Astell-Burt T. Using estimated probability of pre-diagnosis behavior as a predictor of cancer survival time: an example in esophageal cancer. BMC Med Res Methodol 2020; 20:74. [PMID: 32245417 PMCID: PMC7118984 DOI: 10.1186/s12874-020-00957-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 03/23/2020] [Indexed: 12/24/2022] Open
Abstract
Background Information on the associations between pre-diagnosis health behavior and post-diagnosis survival time in esophageal cancer could assist in planning health services but can be difficult to obtain using established study designs. We postulated that, with a large data set, using estimated probability for a behavior as a predictor of survival times could provide useful insight as to the impact of actual behavior. Methods Data from a national health survey and logistic regression were used to calculate the probability of selected health behaviors from participant’s demographic characteristics for each esophageal cancer case within a large cancer registry data base. The associations between survival time and the probability of the health behaviors were investigated using Cox regression. Results Observed associations include: a 0.1 increase in the probability of smoking 1 year prior to diagnosis was detrimental to survival (Hazard Ratio (HR) 1.21, 95% CI 1.19,1.23); a 0.1 increase in the probability of hazardous alcohol consumption 10 years prior to diagnosis was associated with decreased survival in squamous cell cancer (HR 1.29, 95% CI 1.07, 1.56) but not adenocarcinoma (HR 1.08, 95% CI 0.94,1.25); a 0.1 increase in the probability of physical activity outside the workplace is protective (HR 0.83, 95% CI 0.81,0.84). Conclusions We conclude that probability for health behavior estimated from demographic characteristics can provide an initial assessment of the association between pre-diagnosis health behavior and post-diagnosis health outcomes, allowing some sharing of information across otherwise unrelated data collections.
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Affiliation(s)
- Paul P Fahey
- School of Health Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia. .,Translational Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia.
| | - Andrew Page
- Translational Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Glenn Stone
- School of Computer, Data and Mathematical Sciences, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, NSW, 2522, Australia
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