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Tozduman B, Ergor G. The fraction of cancer attributable to modifiable risk factors in Turkey in 2018. Int J Cancer 2025; 156:2140-2147. [PMID: 39716910 DOI: 10.1002/ijc.35317] [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: 08/02/2024] [Revised: 12/10/2024] [Accepted: 12/12/2024] [Indexed: 12/25/2024]
Abstract
Cancer is the second leading cause of death in Turkey, with nearly one in six deaths attributed to the disease. In 2018, Turkey recorded 211,273 new cancer cases. Many cancers are linked to modifiable lifestyle risk factors, such as tobacco use, alcohol consumption, obesity, and inadequate diet and physical activity. Modifying these risk factors could potentially prevent 30%-50% of cancer cases and deaths. This study aims to estimate the population attributable fraction (PAF) of cancer cases and deaths due to various modifiable risk factors in Turkey. Modifiable cancer risk factors were identified as smoking, infections, obesity, physical inactivity, alcohol consumption, inadequate intake of fruits, vegetables, fiber, and calcium. Data on exposure prevalence and cancer incidence were sourced from national surveys and reports. Relative risks (RRs) were obtained from global studies. PAFs were calculated using Levin's equation, accounting for overlaps between risk factors. In 2018, 32% of the cancer cases were attributable to lifestyle risk factors. Smoking was the most significant factor, accounting for 28.4% of cases in men, while high BMI was the leading factor in women, contributing to 11.5% of cases. Lifestyle risk factors were responsible for 41.6% of cancer deaths, with smoking being the leading cause. Lifestyle risk factors contribute significantly to cancer incidence and mortality in Turkey. Prioritizing interventions to reduce tobacco use and obesity could substantially lower the cancer burden. These results are crucial for developing effective cancer prevention strategies and informing public health policies.
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Affiliation(s)
- Busra Tozduman
- Faculty of Medicine, Department of Public Health, Division of Epidemiology, Dokuz Eylul University, Izmir, Turkey
| | - Gul Ergor
- Faculty of Medicine, Department of Public Health, Division of Epidemiology, Dokuz Eylul University, Izmir, Turkey
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Sirois AC, Campbell KL, Sattar S, Rudolf M, Haase KR. Living with and beyond cancer: What older adults tell us about healthy aging. J Geriatr Oncol 2025; 16:102259. [PMID: 40381436 DOI: 10.1016/j.jgo.2025.102259] [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: 01/20/2025] [Revised: 04/10/2025] [Accepted: 05/08/2025] [Indexed: 05/20/2025]
Abstract
INTRODUCTION Healthy aging is a process that allows for optimal functional ability and wellbeing, but little is known about older adults' experiences living with and beyond cancer (also called survivorship). The purpose of this study was to explore the experiences and perceptions of healthy aging among older adults living with and beyond cancer. MATERIALS AND METHODS Community-dwelling older adults diagnosed with cancer at age ≥ 65 were recruited to participate in a series of in-depth semi-structured interviews. We used interpretive description and patient-oriented research methods. Data were thematically analyzed. RESULTS A total of 20 older adults living with and beyond cancer (mean age 74) in British Columbia, Canada, participated. Coping with cancer and age-related changes in older age was important for healthy aging and quality of life. Older adults coped by adapting to maintain their health and function, accepting and rejecting barriers, and defying ageist norms about cancer in older age. Participants reported discrepancies between their own priorities for healthy aging and their perceptions of healthcare providers' priorities for them. For example, older adults identified a lack of attention to quality of life and minimal integration of psychosocial supports in cancer treatment and survivorship care. Our findings also address the nuances of how cancer influences health behaviours in the context of pursuing healthy aging. DISCUSSION Understanding the experiences and perceptions of healthy aging among older adults living with and beyond cancer is critical to promoting health for this growing population. Our findings highlight the need for individualized care and the importance of quality of life for older adults living with and beyond cancer. This work can inform interventions to support healthy aging.
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Affiliation(s)
- Ailsa C Sirois
- School of Nursing, Faculty of Applied Science, University of British Columbia, Vancouver, Canada.
| | - Kristin L Campbell
- Department of Physical Therapy, University of British Columbia, Vancouver, Canada; BC Cancer Research Institute, Vancouver, Canada
| | - Schroder Sattar
- College of Nursing, University of Saskatchewan, Saskatoon, Canada
| | - Margaret Rudolf
- School of Nursing, Faculty of Applied Science, University of British Columbia, Vancouver, Canada
| | - Kristen R Haase
- School of Nursing, Faculty of Applied Science, University of British Columbia, Vancouver, Canada; BC Cancer Research Institute, Vancouver, Canada
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Gillies C, Baay C. Gardening initiatives as an approach to cancer prevention for children and youth. Public Health 2025; 242:367-374. [PMID: 40188707 DOI: 10.1016/j.puhe.2025.03.015] [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: 09/23/2024] [Revised: 02/03/2025] [Accepted: 03/07/2025] [Indexed: 04/29/2025]
Abstract
OBJECTIVES Gardening initiatives may be used to address modifiable risk factors for cancer from an early age. This review synthesizes evidence on the effects of gardening initiatives on modifiable cancer risk factors among school-aged children and youth. STUDY DESIGN Rapid review. METHODS A rapid review was conducted in March 2024 using databases (e.g., MEDLINE, PubMed), registers (e.g., ClinicalTrials.gov), and other sources (e.g., Healthevidence.org, Google Scholar). Two reviewers independently screened and selected articles for inclusion, and one completed quality appraisal. Peer-reviewed studies from the past ten years on gardening initiatives in schools, daycares, or community settings in high-income countries were included. Studies had to report health outcomes for children and youth (aged 0-18 years) related to modifiable cancer risk factors including: nutrition behaviors, body weight, physical activity (PA), sedentary behavior, psychosocial factors, and ultraviolet ray (UVR) behaviors. RESULTS This resulted in forty-eight included studies. Most measured outcomes related to nutrition behaviors, psychosocial factors, body weight, and PA. Fewer studies measured sedentary behavior, and none included UVR behaviors. Gardening initiatives generally led to positive nutrition behaviors (e.g., improved knowledge, dietary diversity), increased PA, decreased sedentary behavior, and improved psychosocial factors (e.g., depression, social cohesion). Effects on body weight and abdominal adiposity were inconclusive. CONCLUSIONS Gardening initiatives in educational and community settings could help prevent cancer by improving diet, PA, and psychosocial health in children and youth. However, more rigorous, longitudinal studies are needed to better understand their effectiveness, mechanisms, and long-term impact on cancer prevention into adulthood.
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Affiliation(s)
- Christina Gillies
- Provincial Population and Public Health at Alberta Health Services in Edmonton, Alberta, Canada; School of Public Health at the University of Alberta in Edmonton, Alberta, Canada
| | - Courtney Baay
- Provincial Population and Public Health at Alberta Heath Services in Calgary, Alberta, Canada.
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Abebe Z, Wassie MM, Reynolds AC, Melaku YA. Burden and Trends of Diet-Related Colorectal Cancer in OECD Countries: Systematic Analysis Based on Global Burden of Disease Study 1990-2021 with Projections to 2050. Nutrients 2025; 17:1320. [PMID: 40284185 PMCID: PMC12029645 DOI: 10.3390/nu17081320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2025] [Revised: 04/07/2025] [Accepted: 04/08/2025] [Indexed: 04/29/2025] Open
Abstract
Background: An unhealthy diet is a major risk factor for colorectal cancer (CRC). This study assessed the diet-related CRC burden from 1990 to 2021 in Organisation for Economic Co-operation and Development (OECD) nations and estimated the burden until 2050. Methods: Data for OECD countries on diet-related CRC disability-adjusted life years (DALYs) and deaths were obtained from the Global Burden of Disease 2021 study. The estimated annual percent change (EAPC) was calculated to analyse the CRC burden attributable to dietary factors. A generalised additive model with a negative binomial distribution was used to predict the future burden of CRC attributable to dietary factors from 2021 to 2050. Results: In 2021, the age-standardised percentages of diet-related CRC DALYs and deaths were 39.1% (95% uncertainty interval (UI): 9.3, 61.3) and 39.0% (95% UI: 9.7, 60.9), respectively, in the OECD countries. Between 1990 and 2021, the age-standardised DALYs decreased from 185 to 129 per 100,000, and deaths decreased from 8 to 6 per 100,000 population for OECD countries. Similarly, the EAPC in the rates showed a downward trend (EAPCdeaths = -1.26 and EAPCDALYs = -1.20). The estimated diet-related CRC DALYs and deaths are projected to increase to 4.1 million DALYs and 0.2 million deaths by 2050. There is a downward trend in CRC deaths (EAPC = 1.33 for both sexes) and in DALYs (-0.90 for males and -1.0 for females) from 1990 to 2050. Conclusions: The diet-related CRC burden remains significant. Implementing nutrition intervention programmes is necessary to promote access to affordable and nutritious foods and raise awareness about the importance of a healthy diet in reducing CRC risk.
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Affiliation(s)
- Zegeye Abebe
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; (M.M.W.); (A.C.R.); (Y.A.M.)
- Department of Human Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar P.O. Box 196, Ethiopia
| | - Molla Mesele Wassie
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; (M.M.W.); (A.C.R.); (Y.A.M.)
| | - Amy C. Reynolds
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; (M.M.W.); (A.C.R.); (Y.A.M.)
| | - Yohannes Adama Melaku
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA 5042, Australia; (M.M.W.); (A.C.R.); (Y.A.M.)
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Wen J, Xia M, Luo H, Zhu L, Li M, Hou Y. Global, regional, and national burden of liver cancer in adolescents and young adults from 1990 to 2021: an analysis of the global burden of disease study 2021 and forecast to 2040. Front Public Health 2025; 13:1547106. [PMID: 40129589 PMCID: PMC11931027 DOI: 10.3389/fpubh.2025.1547106] [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: 12/17/2024] [Accepted: 02/17/2025] [Indexed: 03/26/2025] Open
Abstract
Background The global burden of liver cancer among adolescents and young adults (AYAs) has often been underestimated, despite significant shifts in its etiology. This study analyzes the disease burden of liver cancer in AYAs from 1990 to 2021 and forecasts trends up to 2040 using data from the Global Burden of Disease Study 2021. Our goal is to provide insights that can inform resource allocation and policy planning. Methods Incidence, mortality, and disability-adjusted life years (DALYs) data were extracted and estimated annual percentage changes calculated to assess trends. Correlation between age-standardized rates and sociodemographic index (SDI) was analyzed using Spearman correlation, and future trends were predicted using the Bayesian age-period-cohort model. Findings Globally, there were 24,348 new liver cancer cases and 19,270 deaths among AYAs in 2021, with decreases in age-standardized rates for incidence, mortality, and DALYs from 1990 to 2021. East Asia bears the highest burden, with males experiencing significantly higher rates than females. The burden increases with age, peaking at 35-39 years. Higher SDI is associated with lower incidence, mortality, and DALYs. While HBV remains the leading cause, NASH is the fastest-growing contributor to liver cancer incidence and mortality. Projections indicate a continued decline in liver cancer burden among AYAs, though female cases are expected to rise. Interpretation Despite a gradual decline in liver cancer burden among AYAs, NASH is emerging as a significant and rising cause of incidence and mortality. Regional and gender disparities persist, highlighting the need for tailored prevention and healthcare strategies to alleviate the liver cancer AYA's burden globally.
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Affiliation(s)
- Jingyu Wen
- Department of Medical Insurance, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Mingge Xia
- State Key Laboratory of Quality Research in Chinese Medicines, Institute of Chinese Medical Sciences, University of Macau, Taipa, Macao SAR, China
| | - Han Luo
- Department of Hepatobiliary Surgery, Zigong Fourth People's Hospital, Zigong, China
| | - Luwei Zhu
- Department of Medical Insurance, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Min Li
- Department of Medical Insurance, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yifu Hou
- Department of Organ Transplantation, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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Berstad P, Haugan K, Knudsen MD, Nygård M, Ghiasvand R, Robsahm TE. Cancers attributed to modifiable factors in Norway 2016-2020. Eur J Cancer 2025; 217:115232. [PMID: 39813761 DOI: 10.1016/j.ejca.2025.115232] [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: 10/21/2024] [Revised: 12/20/2024] [Accepted: 01/06/2025] [Indexed: 01/18/2025]
Abstract
BACKGROUND Targeting modifiable factors offers significant potential for primary cancer prevention. For public health strategies, it is essential to quantify the contribution from each factor on a national level. We estimated the contribution of 12 modifiable factors on cancer incidence in the Norwegian population. METHODS Nationally representative data (1990-2015) on the prevalence of tobacco smoking, over-exposure to ultraviolet radiation (UVR), alcohol consumption, physical inactivity, overweight and obesity, intake of processed and red meat, fibre and calcium, menopausal hormone therapy (MHT), human papilloma virus (HPV) infection and insufficient breastfeeding were collected from health surveys. Using these prevalences, cancer risk estimates for for the exposures, and average annual cancer incidence rates for 2016-2020, we estimated annual population-attributable fractions (PAFs) and numbers of preventable cases. RESULTS Of the average 24,608 annual cases of cancers related to our included modifiable factors, 12,250 (6240 in women and 6009 in men) (41 %) were attributed to these factors. Tobacco smoking caused the highest proportion of cancers cases, 20 % in men and 13 % in women. Sunburn and indoor tanning caused 13 % and 10 % of cancers in men and women, respectively, and overweight and obesity caused 4.5 % of the cases. Cancers of skin, lung, colon and female breast had the highest number of preventable cases. CONCLUSION Over a third of the annual cancer cases in Norway were attributed to 12 modifiable factors. Based on this study, efforts to reduce tobacco smoking, UVR over-exposure, and overweight and obesity could be the most effective in primary prevention of cancer.
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Affiliation(s)
- Paula Berstad
- Cancer Registry of Norway, Norwegian Institute of Public Health, Pb 5313 Majorstuen, Oslo 0304, Norway.
| | - Kristin Haugan
- Cancer Registry of Norway, Norwegian Institute of Public Health, Pb 5313 Majorstuen, Oslo 0304, Norway.
| | - Markus D Knudsen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Pb 1046 Blindern, Oslo 0317, Norway.
| | - Mari Nygård
- Cancer Registry of Norway, Norwegian Institute of Public Health, Pb 5313 Majorstuen, Oslo 0304, Norway.
| | - Reza Ghiasvand
- Cancer Registry of Norway, Norwegian Institute of Public Health, Pb 5313 Majorstuen, Oslo 0304, Norway; Oslo University Hospital, Sogn Arena, Oslo Centre for Biostatistics and Epidemiology, Pb 4950 Nydalen, Oslo 0424, Norway.
| | - Trude Eid Robsahm
- Cancer Registry of Norway, Norwegian Institute of Public Health, Pb 5313 Majorstuen, Oslo 0304, Norway.
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Banik K, Ruan Y, Stephen MM, Hutchinson JM, Carbonell C, Warkentin MT, Coldman A, Garner R, Jalal H, Brenner DR. Shooting for the Moon: Can We Cut Cancer Mortality in Canada By 50% By 2050? Cancer Control 2025; 32:10732748251319485. [PMID: 39943836 PMCID: PMC11822815 DOI: 10.1177/10732748251319485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Revised: 12/19/2024] [Accepted: 01/21/2025] [Indexed: 02/16/2025] Open
Abstract
INTRODUCTION The United States of America reignited their Cancer Moonshot Initiative in 2022 with an ambitious goal to reduce cancer mortality by 50% over the next 25 years. In this study, we estimated how and whether a similar cancer control initiative could be achieved in Canada. METHODS We used the OncoSim microsimulation suite to address three questions: (1) what is the expected mortality from cancer in Canada by 2050 given the current trends?; (2) what would be the maximal impact on reducing cancer mortality with prevention and increased screening activities? and, (3) if a 50% reduction in projected cancer mortality could not be achieved through the primary and secondary intervention efforts, what additional advancements and discoveries would be needed to fill the "lunar gap"? We modeled the joint impact of risk-factor reduction and screening, as well as the independent effects of prevention and screening alone, on projected cancer mortality. RESULTS Our models suggest that there will be an expected 133,395 cancer deaths in 2050 in Canada. Approximately 33% of these cancer deaths could be prevented by risk-factor reduction and increased screening programs by the year 2050. This would leave a "lunar gap" of about 16%-17% that would need to be bridged with novel discoveries in cancer risk prevention, early detection, and treatment. CONCLUSION While current knowledge and implementation of prevention and screening would have a considerable impact on a Canadian cancer moonshot, additional efforts are needed to implement cancer control initiatives and fuel additional discoveries to fill the gap.
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Affiliation(s)
- Keaton Banik
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Yibing Ruan
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Calgary, AB, Canada
| | - Mariet M. Stephen
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - John M. Hutchinson
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Chantelle Carbonell
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Matthew T. Warkentin
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Andrew Coldman
- British Columbia Cancer Research Institute, Vancouver, BC, Canada
| | - Rochelle Garner
- Health Analysis Division, Statistics Canada, Ottawa, ON, Canada
| | - Hawre Jalal
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - Darren R. Brenner
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Hong Y, An J, Jung J, Lee HS, Sung S, Moon S, Kim I, Lee JE, Shin A, Jee SH, Kweon SS, Shin MH, Park S, Ryu SH, Yang SY, Choi SH, Kim J, Yi SW, Choi YJ, Lee S, Lim W, Kim K, Park S, Im JS, Seo HG, Ko KP, Park SK. Comparison of Population Attributable Fractions of Cancer Incidence and Mortality Linked to Excess Body Weight in Korea from 2015 to 2030. Endocrinol Metab (Seoul) 2024; 39:921-931. [PMID: 39604804 PMCID: PMC11695475 DOI: 10.3803/enm.2024.2071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 08/22/2024] [Accepted: 08/30/2024] [Indexed: 11/29/2024] Open
Abstract
BACKGRUOUND The increasing rate of excess body weight (EBW) in the global population has led to growing health concerns, including cancer-related EBW. We aimed to estimate the population attributable fraction (PAF) of cancer incidence and deaths linked to EBW in Korean individuals from 2015 to 2030 and to compare its value with various body mass index cutoffs. METHODS Levin's formula was used to calculate the PAF; the prevalence rates were computed using the Korean National Health and Nutrition Examination Survey data, while the relative risks of specific cancers related to EBW were estimated based on the results of Korean cohort studies. To account for the 15-year latency period when estimating the PAF in 2020, the prevalence rates from 2015 and attributable cases or deaths from 2020 were used. RESULTS The PAF attributed to EBW was similar for both cancer incidence and deaths using either the World Health Organization (WHO) Asian-Pacific region standard or a modified Asian standard, with the WHO standard yielding the lowest values. In the Korean population, the PAFs of EBW for cancer incidence were 2.96% in men and 3.61% in women, while those for cancer deaths were 0.67% in men and 3.06% in women in 2020. Additionally, PAFs showed a gradual increase in both sexes until 2030. CONCLUSION The EBW continues to have a significant impact on cancer incidence and deaths in Korea. Effective prevention strategies targeting the reduction of this modifiable risk factor can substantially decrease the cancer burden.
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Affiliation(s)
- Youjin Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Jihye An
- Department of Epidemic Intelligence Service, Incheon Communicable Diseases Center, Incheon, Korea
| | - Jeehi Jung
- Department of Biomedicine & Health Science, The Catholic University of Korea, Seoul, Korea
| | | | - Soseul Sung
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Sungji Moon
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine, Seoul, Korea
| | - Inah Kim
- Department of Occupational and Environmental Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Jung Eun Lee
- Department of Food and Nutrition, Seoul National University, Seoul, Korea
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine, Seoul, Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea
| | - Sangmin Park
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seung-Ho Ryu
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sun Young Yang
- Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea
| | - Seung Ho Choi
- Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea
| | - Jeongseon Kim
- Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Sang-Wook Yi
- Department of Preventive Medicine and Public Health, Catholic Kwandong University College of Medicine, Gangneung, Korea
| | - Yoon-Jung Choi
- Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
| | - Sangjun Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Woojin Lim
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Kyungsik Kim
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Sohee Park
- Department of Epidemiology and Health Promotion, Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Jeong-Soo Im
- Division of Cancer Registration and Surveillance, National Cancer Center, Goyang, Korea
| | - Hong Gwan Seo
- Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Korea
- Division of Cancer Registration and Surveillance, National Cancer Center, Goyang, Korea
| | - Kwang-Pil Ko
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Clinical Preventive Medicine Center, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Sue K. Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University Graduate School, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
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Young CD, Hubbard AK, Saint-Maurice PF, Chan ICC, Cao Y, Tran D, Bolton KL, Chanock SJ, Matthews CE, Moore SC, Loftfield E, Machiela MJ. Social, Behavioral, and Clinical Risk Factors Are Associated with Clonal Hematopoiesis. Cancer Epidemiol Biomarkers Prev 2024; 33:1423-1432. [PMID: 39208031 PMCID: PMC11530318 DOI: 10.1158/1055-9965.epi-24-0620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/25/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Risk factors including smoking, alcohol intake, physical activity (PA), and sleep patterns have been associated with cancer risk. Clonal hematopoiesis (CH), including mosaic chromosomal alterations and clonal hematopoiesis of indeterminate potential, is linked to increased hematopoietic cancer risk and could be used as common preclinical intermediates for the better understanding of associations of risk factors with rare hematologic malignancies. METHODS We analyzed cross-sectional data from 478,513 UK Biobank participants without hematologic malignancies using multivariable-adjusted analyses to assess the associations between lifestyle factors and CH types. RESULTS Smoking was reinforced as a potent modifiable risk factor for multiple CH types, with dose-dependent relationships persisting after cessation. Males in socially deprived areas of England had a lower risk of mosaic loss of chromosome Y (mLOY), females with moderate/high alcohol consumption (2-3 drinks/day) had increased mosaic loss of the X chromosome risk [OR = 1.17; 95% confidence interval (CI), 1.09-1.25; P = 8.31 × 10-6] compared with light drinkers, active males (moderate-high PA) had elevated risks of mLOY (PA category 3: OR = 1.06; 95% CI, 1.03-1.08; P = 7.57 × 10-6), and men with high body mass index (≥40) had reduced risk of mLOY (OR = 0.57; 95% CI, 0.51-0.65; P = 3.30 × 10-20). Sensitivity analyses with body mass index adjustment attenuated the effect in the mLOY-PA associations (IPAQ2: OR = 1.03; 95% CI, 1.00-1.06; P = 2.13 × 10-2 and IPAQ3: OR = 1.03; 95% CI, 1.01-1.06; P = 7.77 × 10-3). CONCLUSIONS Our study reveals associations between social deprivation, smoking, and alcohol consumption and CH risk, suggesting that these exposures could contribute to common types of CH and potentially rare hematologic cancers. IMPACT This study underscores the impact of lifestyle factors on CH frequency, emphasizing social, behavioral, and clinical influences and the importance of sociobehavioral contexts when investigating CH risk factors.
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Affiliation(s)
- Corey D Young
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Aubrey K Hubbard
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Pedro F Saint-Maurice
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
- Champalimaud Foundation, Lisbon, Portugal
| | - Irenaeus C C Chan
- Divisions of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Yin Cao
- Divisions of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Duc Tran
- Divisions of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Kelly L Bolton
- Divisions of Hematology and Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Charles E Matthews
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Steven C Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland
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10
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Rouhafzay A, Yousefi J. Geographical Disparities in Colorectal Cancer in Canada: A Review. Curr Oncol Rep 2024; 26:1249-1257. [PMID: 39073526 DOI: 10.1007/s11912-024-01574-x] [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] [Accepted: 06/27/2024] [Indexed: 07/30/2024]
Abstract
PURPOSE OF REVIEW Colorectal cancer (CRC) is a prominent contributor to cancer-related mortality in Canada. This review paper sheds light on the research conducted in Canada to scrutinize the influence of economicfactors. The review seeks to uncover notable disparities in Colorectal cancer incidence and mortality rate across diverse Canadian populations, including Indigenous communities, rural dwellers, and individuals with lower socioeconomic status (SES). RECENT FINDINGS Recent investigations reveal significant disparities in CRC incidence, mortality, and treatment outcomes among various demographic groups in Canada. Indigenous peoples, rural populations, and those with lower SES are particularly vulnerable to these disparities. Access to screening and specialized cancer care is notably limited for these marginalized populations, exacerbating existing health inequities. Furthermore, emerging evidence underscores the potential influence of dietary factors on CRC risk, highlighting the importance of tailored prevention and treatment strategies. The findings underscore the urgent need for targeted interventions aimed at enhancing access to CRC screening and specialized cancer care for disadvantaged populations in Canada. By addressing these disparities, more individuals can undergo timely screening and receive early-stage diagnoses, thereby improving prognosis and ultimately saving lives. However, to effectively bridge these gaps, further research is imperative to elucidate the underlying mechanisms driving these disparities and to identify and implement effective interventions.
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Affiliation(s)
- Asal Rouhafzay
- Shannon School of Business, Cape Breton University, Sydney, NS, Canada
| | - Jamileh Yousefi
- Shannon School of Business, Cape Breton University, Sydney, NS, Canada.
- Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada.
- Nova Scotia Health Authority, Halifax, NS, Canada.
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11
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Kithulegoda N, Williams C, Senthilmurugan A, Aimola S, Atkinson J, Banerjee AT, Bazeghi F, Bender JL, Flynn S, Ghatage L, Goulbourne E, Grunfeld E, Heisey R, Rao A, Sutcliffe K, Lofters A, Ivers NM. Assessing the effectiveness of "BETTER Women", a community-based, primary care-linked peer health coaching programme for chronic disease prevention: protocol for a pragmatic, wait-list controlled, type 1 hybrid effectiveness-implementation trial. BMJ Open 2024; 14:e085933. [PMID: 39053957 PMCID: PMC11284880 DOI: 10.1136/bmjopen-2024-085933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 06/20/2024] [Indexed: 07/27/2024] Open
Abstract
INTRODUCTION The Building on Existing Tools to Improve Cancer and Chronic Disease Prevention and Screening in Primary Care (BETTER) programme trains allied health professionals working in primary care settings to develop personalised chronic disease 'prevention prescriptions' with patients. However, maintenance of health behaviour changes is difficult without ongoing support. Sustainable options to enhance the BETTER programme and ensure accessibility to underserved populations are needed. We designed the BETTER Women programme, which uses a digital app to match patients with a trained peer health coach (PHC) who provides ongoing support for health behaviour change after receipt of a BETTER prevention prescription in primary care. METHODS AND ANALYSIS We will conduct a type 1 hybrid implementation-effectiveness patient-randomised trial. Interested women aged 40-68 years will be recruited from three large, sociodemographically distinct primary care clinics (urban, suburban and rural). Patients will be randomised 1:1 to intervention or wait-list control after receipt of their BETTER prevention prescription. We will aim to recruit 204 patients per group (408 total). Effectiveness will be assessed by the primary outcome of targeted behaviours achieved for each participant at 6 months, consisting of three cancer screening tests (cervical, breast and colorectal) and four behavioural determinants of cancer and chronic disease (diet, smoking, alcohol use and physical activity). Data will be collected through patient survey and clinical chart review, measured at 3, 6 and 12 months. Implementation outcomes will be assessed through patient surveys and interviews with patients, peer health coaches and healthcare providers. An embedded economic evaluation will examine cost per quality-adjusted life-year and per additional health behavioural targets achieved. ETHICS AND DISSEMINATION This study has been approved by Women's College Hospital Research Ethics Board (REB), the Royal Victoria Regional Health Centre REB and the University of Toronto REB. All participants will provide informed consent prior to enrolment. Participation is voluntary and withdrawal will have no impact on the usual care received from their primary care provider. The results of this trial will be published in peer-reviewed journals and shared via conference presentations. Deidentified datasets will be shared on request, after publication of results. TRIAL REGISTRATION NUMBER NCT04746859.
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Affiliation(s)
- Natasha Kithulegoda
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Camille Williams
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
| | - Aranee Senthilmurugan
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
| | - Sabrina Aimola
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
| | - John Atkinson
- Ontario Public Health Association, Toronto, ON, Canada
| | - Ananya Tina Banerjee
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Farnaz Bazeghi
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
| | - Jacqueline L Bender
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Susan Flynn
- Canadian Cancer Society, Toronto, ON, Canada
| | | | - Elaine Goulbourne
- Peter Gilgan Centre for Women's Cancers, Women's College Hospital, Toronto, ON, Canada
- Women’s College Hospital, Toronto, ON, Canada
| | - Eva Grunfeld
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Ruth Heisey
- Peter Gilgan Centre for Women's Cancers, Women's College Hospital, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Anjana Rao
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
| | | | - Aisha Lofters
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
- Department of Family and Community Medicine, Women's College Hospital, Toronto, ON, Canada
| | - Noah M Ivers
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
- Department of Family and Community Medicine, Women's College Hospital, Toronto, ON, Canada
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
- Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
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12
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MacLellan C, Kershaw P, Kneebone RD, McLaren L, Reiman T, Urquhart R, Dutton DJ. Chasing cancer: does the social-to-medical spending ratio relate to cancer incidence and mortality in Canadian provinces? A retrospective cohort study. BMJ PUBLIC HEALTH 2024; 2:e000858. [PMID: 40018099 PMCID: PMC11812898 DOI: 10.1136/bmjph-2023-000858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 05/16/2024] [Indexed: 03/01/2025]
Abstract
Introduction Cancer is the leading cause of death in Canada, and cases are expected to rise by 83% between 2012 and 2042. Jurisdictions with higher ratios of social-to-medical spending exhibit better population health outcomes; however, the connection between the ratio and both cancer incidence and mortality is not well established. We aim to determine the association between the ratio and both age-standardised cancer incidence and mortality. Methods Using linear regressions with provincial and yearly fixed effects, we measured associations between the ratio and incidence of the four most common cancers in Canada (ie, lung and bronchus, colorectal, breast and prostate cancer), and mortality from any cancer, from 1992 to 2017 (incidence) and 2000 to 2019 (mortality). Results A one-cent increase in social spending for each dollar spent on medical services was significantly associated with a decrease in colorectal (-0.2%), breast (-0.1%), and prostate cancer (-0.6%). The relationship is statistically insignificant and negligible for lung cancer incidence and cancer mortality. Conclusion The ratio was significantly associated with a decrease in three out of four cancer incidence categories, but not mortality. This implies that, consistent with the social determinants of health, preventing cancer incidence might be a function of social spending, whereas medical spending is more relevant for individuals already diagnosed with cancer. This analysis points to the importance of a health-in-all-policies perspective, as social spending might be more important for population health than spending on the medical care system. We provide evidence that morbidity measures are responsive to the ratio, building on a literature focused on mortality.
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Affiliation(s)
- Cameron MacLellan
- Community Health & Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Paul Kershaw
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Ronald D Kneebone
- Economics, University of Calgary, Calgary, Alberta, Canada
- The School of Public Policy, University of Calgary, Calgary, Alberta, Canada
| | - Lindsay McLaren
- Department of Community Health Sciences Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Tony Reiman
- Division of Medical Oncology, Dalhousie University Faculty of Medicine, Halifax, Nova Scotia, Canada
- Faculty of Science Applied Science and Engineering, University of New Brunswick, Saint John, New Brunswick, Canada
| | - Robin Urquhart
- Community Health & Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Daniel J Dutton
- Community Health & Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada
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13
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De La Cruz-Vargas JA, Ramos W, Chanduví W, Correa-López LE, Guerrero N, Loayza-Castro J, Tami-Maury I, Venegas D. Proportion of cancer cases and deaths attributable to potentially modifiable risk factors in Peru. BMC Cancer 2024; 24:477. [PMID: 38622563 PMCID: PMC11020925 DOI: 10.1186/s12885-024-12219-4] [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: 01/12/2024] [Accepted: 04/02/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Limited evidence exists on the population attributable fraction (PAF) of cancer cases and deaths in Latin America. In Peru several studies have been published regarding the PAF of various risk factors and their associated diseases. The objective of this study was to estimate the fraction of cancer cases and deaths attributable to potentially modifiable risk factors in Peru in 2018, before the COVID-19 pandemic in the population of 15 years old and older. METHODS An ecological study was conducted using the prevalence of exposure of the Peruvian population to modifiable risk factors for cancer, the relative risk associated with each factor, and the number of cancer cases and deaths in 2018 as inputs. We used the Parkin formula with a Montecarlo statistical simulation model to calculate the PAF and confidence intervals. The number of new cancer cases and deaths attributed to each risk factor was determined by multiplying the number of cases and deaths in each gender by the PAF of each risk factor. FINDINGS In Peru, 38.5% of new cases (34.5% in men and 42% in women) and 43.4% of cancer-related deaths (43.4% in men and 43.4% in women) were attributable to modifiable risk factors. The number of cancers attributable was 25,308 (10,439 in men and 14,869 in women) and the number of deaths attributable to cancer was 14,839 (6,953 in men and 7,886 in women). The predominant modifiable risk factors contributing to the highest number of cases and deaths were HPV infection (4,563 cases, 2,409 deaths), current tobacco use (3,348 cases, 2,180 deaths), and helicobacter pylori infection (2,677 cases, 1,873 deaths). Among the risk factors, oncogenic infections constituted the group with the highest PAF (16.6% for cases, 19.2% for deaths) followed by other unhealthy lifestyle factors (14.2% for cases, 16.7% for deaths), tobacco (7.2% for cases, 7.2% for deaths) and ultraviolet radiation (0.5% for cases, 0.3% for deaths). CONCLUSIONS Prior to the COVID-19 pandemic, 38.5% of cancer cases and 43.4% of cancer-related deaths in Peru were linked to modifiable risk factors in the population of 15 years old and older. Most preventable cancer cases and deaths were related to oncogenic infections, primarily caused by HPV and helicobacter pylori, followed by tobacco and obesity.
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Affiliation(s)
- Jhony A De La Cruz-Vargas
- Instituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú.
| | - Willy Ramos
- Instituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú
| | - Willer Chanduví
- Instituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú
| | - Lucy E Correa-López
- Instituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú
| | - Nadia Guerrero
- Instituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú
| | - Joan Loayza-Castro
- Instituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú
| | - Irene Tami-Maury
- The University of Texas Health Science Center at Houston, Houston, USA
| | - Diego Venegas
- Facultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Perú
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14
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Jiang X, Pestoni G, Vinci L, Suter F, Lorez M, Rohrmann S, Karavasiloglou N. Cancer cases attributable to modifiable lifestyle risk factors in Switzerland between 2015 and 2019. Int J Cancer 2024; 154:1221-1234. [PMID: 38041826 DOI: 10.1002/ijc.34806] [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: 06/24/2023] [Revised: 10/10/2023] [Accepted: 10/30/2023] [Indexed: 12/04/2023]
Abstract
Several modifiable lifestyle risk factors have been linked to higher cancer risk in the literature. Determining the proportion and number of cancer cases attributable to these risk factors is pivotal in informing effective cancer prevention and control plans that have the greatest effect on reducing cancer incidence. We aimed to estimate the proportion and number of incident cancer cases that were attributable to modifiable lifestyle risk factors (ie, tobacco smoking, high alcohol consumption, excess body weight, physical inactivity and unhealthy diet) in Switzerland between 2015 and 2019. The exposure prevalence of selected risk factors was estimated based on the representative national nutrition survey menuCH, the associated relative risks were obtained from systematic literature reviews and the numbers of incident cancer cases were provided by the National Institute for Cancer Epidemiology and Registration. The fractions and numbers of attributable cases were calculated overall, by sex and by the three major language regions of Switzerland. The investigated modifiable risk factors combined were linked to 25.2% of potentially preventable incident cancer cases in Switzerland between 2015 and 2019. The proportion and numbers were slightly larger in males (28.4%, 6945 cases per year) than in females (21.9%, 4493 cases per year), and variations were observed between language regions. Tobacco smoking, excess body weight and high alcohol consumption were the leading contributors to lifestyle-attributable cancer cases. The observed differences in the leading risk factors both within Switzerland and compared to other countries underline the need for regionally and nationally tailored cancer prevention and education strategies.
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Affiliation(s)
- Xing Jiang
- Department of Health Sciences and Technology, Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
| | - Giulia Pestoni
- Division of Chronic Disease Epidemiology; Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
- Nutrition Group, Health Department, Swiss Distance University of Applied Sciences (FFHS)/University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Zurich, Switzerland
| | - Linda Vinci
- Winterthur Institute of Health Economics, Zurich University of Applied Sciences, Winterthur, Switzerland
- Cancer Registry of the Cantons Zurich, Zug, Schaffhausen and Schwyz, Institute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Flurina Suter
- Division of Chronic Disease Epidemiology; Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
- National Institute for Cancer Epidemiology and Registration (NICER), Zurich, Switzerland
| | - Matthias Lorez
- National Institute for Cancer Epidemiology and Registration (NICER), Zurich, Switzerland
| | - Sabine Rohrmann
- Division of Chronic Disease Epidemiology; Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
- Cancer Registry of the Cantons Zurich, Zug, Schaffhausen and Schwyz, Institute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
| | - Nena Karavasiloglou
- Division of Chronic Disease Epidemiology; Epidemiology, Biostatistics and Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland
- Cancer Registry of the Cantons Zurich, Zug, Schaffhausen and Schwyz, Institute of Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland
- European Food Safety Authority, Parma, Italy
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15
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Pillay J, Rahman S, Klarenbach S, Reynolds DL, Tessier LA, Thériault G, Persaud N, Finley C, Leighl N, McInnes MDF, Garritty C, Traversy G, Tan M, Hartling L. Screening for lung cancer with computed tomography: protocol for systematic reviews for the Canadian Task Force on Preventive Health Care. Syst Rev 2024; 13:88. [PMID: 38493159 PMCID: PMC10943889 DOI: 10.1186/s13643-024-02506-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/04/2024] [Indexed: 03/18/2024] Open
Abstract
PURPOSE Lung cancer is the leading cause of cancer deaths in Canada, and because early cancers are often asymptomatic screening aims to prevent mortality by detecting cancer earlier when treatment is more likely to be curative. These reviews will inform updated recommendations by the Canadian Task Force on Preventive Health Care on screening for lung cancer. METHODS We will update the review on the benefits and harms of screening with CT conducted for the task force in 2015 and perform de novo reviews on the comparative effects between (i) trial-based selection criteria and use of risk prediction models and (ii) trial-based nodule classification and different nodule classification systems and on patients' values and preferences. We will search Medline, Embase, and Cochrane Central (for questions on benefits and harms from 2015; comparative effects from 2012) and Medline, Scopus, and EconLit (for values and preferences from 2012) via peer-reviewed search strategies, clinical trial registries, and the reference lists of included studies and reviews. Two reviewers will screen all citations (including those in the previous review) and base inclusion decisions on consensus or arbitration by another reviewer. For benefits (i.e., all-cause and cancer-specific mortality and health-related quality of life) and harms (i.e., overdiagnosis, false positives, incidental findings, psychosocial harms from screening, and major complications and mortality from invasive procedures as a result of screening), we will include studies of adults in whom lung cancer is not suspected. We will include randomized controlled trials comparing CT screening with no screening or alternative screening modalities (e.g., chest radiography) or strategies (e.g., CT using different screening intervals, classification systems, and/or patient selection via risk models or biomarkers); non-randomized studies, including modeling studies, will be included for the comparative effects between trial-based and other selection criteria or nodule classification methods. For harms (except overdiagnosis) we will also include non-randomized and uncontrolled studies. For values and preferences, the study design may be any quantitative design that either directly or indirectly measures outcome preferences on outcomes pertaining to lung cancer screening. We will only include studies conducted in Very High Human Development Countries and having full texts in English or French. Data will be extracted by one reviewer with verification by another, with the exception of result data on mortality and cancer incidence (for calculating overdiagnosis) where duplicate extraction will occur. If two or more studies report on the same comparison and it is deemed suitable, we will pool continuous data using a mean difference or standardized mean difference, as applicable, and binary data using relative risks and a DerSimonian and Laird model unless events are rare (< 1%) where we will pool odds ratios using Peto's method or (if zero events) the reciprocal of the opposite treatment arm size correction. For pooling proportions, we will apply suitable transformation (logit or arcsine) depending on the proportions of events. If meta-analysis is not undertaken we will synthesize the data descriptively, considering clinical and methodological differences. For each outcome, two reviewers will independently assess within- and across-study risk of bias and rate the certainty of the evidence using GRADE (Grading of Recommendations Assessment, Development, and Evaluation), and reach consensus. DISCUSSION Since 2015, additional trials and longer follow-ups or additional data (e.g., harms, specific patient populations) from previously published trials have been published that will improve our understanding of the benefits and harms of screening. The systematic review of values and preferences will allow fulsome insights that will inform the balance of benefits and harms. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022378858.
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Affiliation(s)
- Jennifer Pillay
- Alberta Research Centre for Health Evidence, University of Alberta, 11405 87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada.
| | - Sholeh Rahman
- Alberta Research Centre for Health Evidence, University of Alberta, 11405 87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada
| | | | - Donna L Reynolds
- Dalla Lana School of Public Health and Department of Family and Community Medicine, University of Toronto, Toronto, Canada
| | - Laure A Tessier
- Global Health and Guidelines Division, Centre for Chronic Disease Prevention and Health Equity, Public Health Agency of Canada, Ottawa, Canada
| | | | - Nav Persaud
- Department of Family Medicine, University of Toronto Faculty of Medicine, Toronto, Canada
| | - Christian Finley
- Department of Surgery (Division of Thoracic Surgery), McMaster University, Hamilton, Canada
| | - Natasha Leighl
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Matthew D F McInnes
- Departments of Radiology and Epidemiology, University of Ottawa, Ottawa, Canada
| | - Chantelle Garritty
- Global Health and Guidelines Division, Centre for Chronic Disease Prevention and Health Equity, Public Health Agency of Canada, Ottawa, Canada
| | - Gregory Traversy
- Global Health and Guidelines Division, Centre for Chronic Disease Prevention and Health Equity, Public Health Agency of Canada, Ottawa, Canada
| | - Maria Tan
- Alberta Research Centre for Health Evidence, University of Alberta, 11405 87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada
| | - Lisa Hartling
- Alberta Research Centre for Health Evidence, University of Alberta, 11405 87 Avenue NW, Edmonton, Alberta, T6G 1C9, Canada
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16
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Mah SS, Teare GF, Law J, Adhikari K. Facilitators and barriers for implementing screening brief intervention and referral for health promotion in a rural hospital in Alberta: using consolidated framework for implementation research. BMC Health Serv Res 2024; 24:228. [PMID: 38383382 PMCID: PMC10882928 DOI: 10.1186/s12913-024-10676-y] [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: 05/30/2023] [Accepted: 02/01/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Screening, brief intervention, and referral (SBIR) is an evidence-based, comprehensive health promotion approach commonly implemented to reduce alcohol and substance use. Implementation research on SBIR demonstrate that patients find it acceptable, reduces hospital costs, and it is effective. However, SBIR implementation in hospital settings for multiple risk factors (fruit and vegetable consumption, physical activity, alcohol and tobacco use) is still emergent. More evidence is needed to guide SBIR implementation for multiple risk factors in hospital settings. OBJECTIVE To explore the facilitators and barriers of SBIR implementation in a rural hospital using the Consolidated Framework for Implementation Research (CFIR). METHODS We conducted a descriptive qualitative investigation consisting of both inductive and deductive analyses. We conducted virtual, semi-structured interviews, guided by the CFIR framework. All interviews were audio-recorded, and transcribed verbatim. NVivo 12 Pro was used to organize and code the raw data. RESULTS A total of six key informant semi-structured interviews, ranging from 45 to 60 min, were carried out with members of the implementation support team and clinical implementers. Implementation support members reported that collaborating with health departments facilitated SBIR implementation by helping (a) align health promotion risk factors with existing guidelines; (b) develop training and educational resources for clinicians and patients; and (c) foster leadership buy-in. Conversely, clinical implementers reported several barriers to SBIR implementation including, increased and disrupted workflow due to SBIR-related documentation, a lack of knowledge on patients' readiness and motivation to change, as well as perceived patient stigma in relation to SBIR risk factors. CONCLUSION The CFIR provided a comprehensive framework to gauge facilitators and barriers relating to SBIR implementation. Our pilot investigation revealed that future SBIR implementation must address organizational, clinical implementer, and patient readiness to implement SBIR at all phases of the implementation process in a hospital.
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Affiliation(s)
- Sharon S Mah
- Cancer Prevention and Screening Innovation (CPSI), Public Health Evidence and Innovation (PHEI), Provincial Population & Public Health, Alberta Health Services, Calgary, AB, Canada
| | - Gary F Teare
- Cancer Prevention and Screening Innovation (CPSI), Public Health Evidence and Innovation (PHEI), Provincial Population & Public Health, Alberta Health Services, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Jessica Law
- Cancer Prevention and Screening Innovation (CPSI), Public Health Evidence and Innovation (PHEI), Provincial Population & Public Health, Alberta Health Services, Calgary, AB, Canada
| | - Kamala Adhikari
- Cancer Prevention and Screening Innovation (CPSI), Public Health Evidence and Innovation (PHEI), Provincial Population & Public Health, Alberta Health Services, Calgary, AB, Canada.
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
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17
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Roos E, Heikkinen S, Seppä K, Pietiläinen O, Ryynänen H, Laaksonen M, Roos T, Knekt P, Männistö S, Härkänen T, Jousilahti P, Koskinen S, Eriksson JG, Malila N, Rahkonen O, Pitkäniemi J. Pairwise association of key lifestyle factors and risk of solid cancers - A prospective pooled multi-cohort register study. Prev Med Rep 2024; 38:102607. [PMID: 38298822 PMCID: PMC10828451 DOI: 10.1016/j.pmedr.2024.102607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 02/02/2024] Open
Abstract
Smoking, alcohol consumption, obesity, and physical inactivity are key lifestyle risk factors for cancer. Previously these have been mostly examined singly or combined as an index, assuming independent and equivalent effects to cancer risk. The aim of our study was to systematically examine the joint pairwise and interactive effects of these lifestyle factors on the risk of a first solid primary cancer in a multi-cohort prospective setting. We used pooled data from seven Finnish health survey studies during 1972-2015, with 197,551 participants diagnosed with 16,373 solid malignant primary tumors during follow-up. Incidence of any cancer was analyzed separately without and with lung cancers using Poisson regression with main and interaction effects of key lifestyle factors. When excluding lung cancer, the highest risk of any cancer in men was observed for smokers with a BMI of ≥25 kg/m2 (HR 1.36, 95 % CI 1.25-1.48) and in women for smokers consuming alcohol (HR 1.22, 1.14-1.30). No statistically significant interactions between any studied risk factor pairs were observed. When including lung cancer, the highest HRs among men were observed for smokers who consume alcohol (HR 1.72, 1.57-1.89) and among women for smokers who were physically inactive (HR 1.38, 1.27-1.49). Smoking combined with other lifestyle factors at any exposure level resulted in highest pairwise risks, both in men and women. These results highlight the importance of smoking prevention, but also the importance of preventing obesity and reducing alcohol consumption.
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Affiliation(s)
- Eira Roos
- Department of Public Health, University of Helsinki, Finland
| | - Sanna Heikkinen
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Karri Seppä
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | | | - Heidi Ryynänen
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Maarit Laaksonen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
- School of Mathematics and Statistics, University of New South Wales, Sydney, Australia
| | - Teemu Roos
- Department of Computer Science, University of Helsinki, Finland
| | - Paul Knekt
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Tommi Härkänen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Pekka Jousilahti
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Seppo Koskinen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Johan G. Eriksson
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Nea Malila
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Ossi Rahkonen
- Department of Public Health, University of Helsinki, Finland
| | - Janne Pitkäniemi
- Department of Public Health, University of Helsinki, Finland
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Finland
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18
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Seppä K, Heikkinen S, Ryynänen H, Albanes D, Eriksson JG, Härkänen T, Jousilahti P, Knekt P, Koskinen S, Männistö S, Rahkonen O, Rissanen H, Malila N, Laaksonen M, Pitkäniemi J. Every tenth malignant solid tumor attributed to overweight and alcohol consumption: A population-based cohort study. Eur J Cancer 2024; 198:113502. [PMID: 38181631 PMCID: PMC11329948 DOI: 10.1016/j.ejca.2023.113502] [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: 08/25/2023] [Revised: 12/06/2023] [Accepted: 12/14/2023] [Indexed: 01/07/2024]
Abstract
BACKGROUND Recent studies have shown that some four in ten cancers are attributable to a few key risk factors. The aim of this study was to estimate cohort-based population attributable fractions (PAFs) in Finland for potentially modifiable cancer risk factors. METHODS Data from eight health studies including 253,953 subjects with 29,802 incident malignant solid tumors were analysed using Bayesian multivariate regression model with multiplicative risk factor effects. We estimated the effects of smoking, excess body weight, alcohol consumption, physical activity, parity and education on cancer incidence and related PAFs by cancer site, accounting for competing mortality. RESULTS PAF for all cancer sites and exposures combined was 34% (95% credible interval 29%-39%) in men and 24% (19%-28%) in women. In men, 23% (21%-27%) and in women 8% (6%-9%) of all cancers were attributed to smoking. PAF related to excess body weight was 4% (2%-6%) in men and 5% (2%-7%) in women, to alcohol 7% (3%-10%) in men and 4% (0%-7%) in women, and to excess body weight and alcohol combined 10% (6%-15%) in men and 9% (4%-13%) in women. CONCLUSION Smoking was the most important factor contributing to cancer burden in Finnish men and women over the last 40 years. The contribution of excess body weight and alcohol consumption together outweighed the role of smoking in women. As the prevalence of overweight is expected to increase, more efficient public health measures supporting adherence to healthy weight are essential to reduce cancer burden.
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Affiliation(s)
- Karri Seppä
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland.
| | - Sanna Heikkinen
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Heidi Ryynänen
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Bethesda, MD, USA
| | - Johan G Eriksson
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland; Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland; Singapore Institute for Clinical Science, Agency for Science, Technology, and Research, Singapore, Singapore; Department of Obstetrics and Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Tommi Härkänen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Pekka Jousilahti
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Paul Knekt
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Seppo Koskinen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Ossi Rahkonen
- Department of Public Health, University of Helsinki, Finland
| | - Harri Rissanen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Nea Malila
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
| | - Maarit Laaksonen
- School of Mathematics and Statistics, Faculty of Science, University of New South Wales, Sydney, Australia
| | - Janne Pitkäniemi
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland; Department of Public Health, University of Helsinki, Finland; Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Finland
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19
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Conway DS, Sullivan AB, Rensel M. Health, Wellness, and the Effect of Comorbidities on the Multiple Sclerosis Disease Course: Tackling the Modifiable. Neurol Clin 2024; 42:229-253. [PMID: 37980117 DOI: 10.1016/j.ncl.2023.06.007] [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] [Indexed: 11/20/2023]
Abstract
Multiple sclerosis (MS) is a disease of the central nervous system characterized by inflammatory demyelination and neurodegeneration. Numerous disease-modifying therapies for MS exist but are only partially effective, making it essential to optimize all factors that may influence the course of the disease. This includes conscientious management of both mental and physical comorbidities, as well as a comprehensive strategy for promoting wellness in patients with MS. Thoughtful engagement of those living with MS through shared decision making and involvement of a multidisciplinary team that includes primary care, relevant specialists, psychology, and rehabilitation is likely to lead to better outcomes.
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Affiliation(s)
- Devon S Conway
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Amy B Sullivan
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Mary Rensel
- Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
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20
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Tomida S, Koyama T, Ozaki E, Takashima N, Morita M, Sakaguchi K, Naoi Y, Nishida Y, Hara M, Hishida A, Tamura T, Okada R, Kubo Y, Otonari J, Ikezaki H, Nakamura Y, Kusakabe M, Tanoue S, Koriyama C, Koyanagi YN, Ito H, Suzuki S, Otani T, Miyagawa N, Okami Y, Arisawa K, Watanabe T, Kuriki K, Wakai K, Matsuo K. Seven-plus hours of daily sedentary time and the subsequent risk of breast cancer: Japan Multi-Institutional Collaborative Cohort Study. Cancer Sci 2024; 115:611-622. [PMID: 38041484 PMCID: PMC10859602 DOI: 10.1111/cas.16020] [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: 04/28/2023] [Revised: 10/15/2023] [Accepted: 11/06/2023] [Indexed: 12/03/2023] Open
Abstract
This study aimed to investigate the association between daily sedentary time and the risk of breast cancer (BC) in a large Japanese population. The participants were 36,023 women aged 35-69 years from the Japan Multi-Institutional Collaborative Cohort Study. Cox proportional hazards analysis was used to estimate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for BC incidence in relation to time spent sedentarily (categorical variables: <7 and ≥7 hours/day [h/d]). Additionally, the associations of BC incidence to the joint effect of sedentary time with each component of physical activity, such as leisure-time metabolic equivalents (METs), frequency of leisure-time physical activity, and daily walking time, were examined. During 315,189 person-years of follow-up, 554 incident cases of BC were identified. When compared to participants who spent <7 h/d sedentary, those who spent ≥7 h/d sedentary have a significantly higher risk of BC (HR, 1.36; 95% CI, 1.07-1.71). The corresponding HRs among participants who spent ≥7 h/d sedentary with more physical activity, such as ≥1 h/d for leisure-time METs, ≥3 days/week of leisure-time physical activity, and ≥1 h/d of daily walking were 1.58 (95% CI, 1.11-2.25), 1.77 (95% CI, 1.20-2.61), and 1.42 (95% CI, 1.10-1.83), respectively, compared with those who spent <7 h/d sedentary. This study found that spending ≥7 h/d of sedentary time is associated with the risk of BC. Neither leisure-time physical activity nor walking had a BC-preventive effect in those with ≥7 h/d of sedentary time.
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Affiliation(s)
- Satomi Tomida
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Teruhide Koyama
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Etsuko Ozaki
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Naoyuki Takashima
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Public Health, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Midori Morita
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Koichi Sakaguchi
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yasuto Naoi
- Department of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Asahi Hishida
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tamura
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Rieko Okada
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoko Kubo
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Jun Otonari
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroaki Ikezaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
- Department of Comprehensive General Internal Medicine, Kyushu University Faculty of Medical Sciences, Fukuoka, Japan
| | - Yohko Nakamura
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Miho Kusakabe
- Cancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan
| | - Shiroh Tanoue
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Yuriko N Koyanagi
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
- Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Sadao Suzuki
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Takahiro Otani
- Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Naoko Miyagawa
- Department of Public Health, Shiga University of Medical Science, Otsu, Shiga, Japan
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan
| | - Yukiko Okami
- NCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Kokichi Arisawa
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Takeshi Watanabe
- Department of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Kiyonori Kuriki
- Laboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Aichi, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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21
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Rydz E, Telfer J, Quinn EK, Fazel SS, Holmes E, Pennycook G, Peters CE. Canadians' knowledge of cancer risk factors and belief in cancer myths. BMC Public Health 2024; 24:329. [PMID: 38291409 PMCID: PMC10829248 DOI: 10.1186/s12889-024-17832-3] [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: 02/23/2023] [Accepted: 01/20/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Many untrue statements about cancer prevention and risks are circulating. The objective of this study was to assess Canadians' awareness of known cancer risk factors and cancer myths (untruths or statements that are not completely true), and to explore how awareness may vary by sociodemographic and cognitive factors. METHODS Cancer myths were identified by conducting scans of published, grey literature, and social media. Intuitive-analytic thinking disposition scores included were actively open- and close-minded thinking, as well as preference for intuitive and effortful thinking. A survey was administered online to participants aged 18 years and older through Prolific. Results were summarized descriptively and analyzed using chi-square tests, as well as Spearman rank and Pearson correlations. RESULTS Responses from 734 Canadians were received. Participants were better at identifying known cancer risk factors (70% of known risks) compared to cancer myths (49%). Bivariate analyses showed differential awareness of known cancer risk factors (p < 0.05) by population density and income, cancer myths by province, and for both by ethnicity, age, and all thinking disposition scores. Active open-minded thinking and preference for effortful thinking were associated with greater discernment. Tobacco-related risk factors were well-identified (> 90% correctly identified), but recognition of other known risk factors was poor (as low as 23% for low vegetable and fruit intake). Mythical cancer risk factors with high support were consuming additives (61%), feeling stressed (52%), and consuming artificial sweeteners (49%). High uncertainty of causation was observed for glyphosate (66% neither agreed or disagreed). For factors that reduce cancer risk, reasonable awareness was observed for HPV vaccination (60%), but there was a high prevalence in cancer myths, particularly that consuming antioxidants (65%) and organic foods (45%) are protective, and some uncertainty whether drinking red wine (41%), consuming vitamins (32%), and smoking cannabis (30%) reduces cancer risk. CONCLUSIONS While Canadians were able to identify tobacco-related cancer risk factors, many myths were believed and numerous risk factors were not recognized. Cancer myths can be harmful in themselves and can detract the public's attention from and action on established risk factors.
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Affiliation(s)
- E Rydz
- School of Population and Public Health, CAREX Canada, University of British Columbia, Vancouver, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - J Telfer
- School of Population and Public Health, CAREX Canada, University of British Columbia, Vancouver, Canada
| | - E K Quinn
- School of Population and Public Health, CAREX Canada, University of British Columbia, Vancouver, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - S S Fazel
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - E Holmes
- Canadian Cancer Society, Toronto, Canada
| | - G Pennycook
- Department of Psychology, Cornell University, New York, USA
| | - C E Peters
- School of Population and Public Health, CAREX Canada, University of British Columbia, Vancouver, Canada.
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Canada.
- BC Centre for Disease Control, Vancouver, BC, Canada.
- BC Cancer, Vancouver, BC, Canada.
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22
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Adhikari K, Teare GF, Belon AP, Lee B, Kim MO, Nykiforuk C. Screening, brief intervention, and referral to treatment for tobacco consumption, alcohol misuse, and physical inactivity: an equity-informed rapid review. Public Health 2024; 226:237-247. [PMID: 38091812 DOI: 10.1016/j.puhe.2023.11.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 09/26/2023] [Accepted: 11/01/2023] [Indexed: 01/15/2024]
Abstract
OBJECTIVE This rapid review systematically synthesizes evidence of the effectiveness of the Screening, Brief Intervention, and Referral (SBIR/T) approach for tobacco use, alcohol misuse, and physical inactivity. STUDY DESIGN This was a rapid review. METHODS We searched primary studies between 2012 and 2022 in seven electronic databases. The search strategy used concepts related to alcohol-related disorders, intoxication, cigarette, nicotine, physical activity, exercise, sedentary, screening, therapy, and referral. We reviewed both title/abstract and full-text using a priori set inclusion and exclusion criteria to identify the eligible studies. We appraised study quality, extracted data, and summarized the characteristics of the included studies. We applied health equity lenses in the synthesis. RESULTS Of the 44 included studies, most focused on alcohol misuse. SBIR/T improved patients' attitudes toward alcohol behavior change, improved readiness and referral initiation for change, and effectively reduced alcohol consumption. Few studies pertained to smoking and physical inactivity. Most studies on smoking demonstrated effectiveness pertaining to patients' acceptance of referral recommendations, improved readiness and attempts to quitting smoking, and reduced or cessation of smoking. Findings were mixed about the effectiveness of SBIR/T in improving physical activity. Minimal studies exist on the impacts of SBIR/T for these three risk factors on healthcare resource use or costs. Studies considering diverse population characteristics in the design and effectiveness assessment of the SBIR/T intervention are lacking. CONCLUSIONS More research on the impacts of SBIR/T on tobacco use, alcohol misuse, and physical inactivity is required to inform the planning and delivery of SBIR/T for general and disadvantaged populations.
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Affiliation(s)
- K Adhikari
- Provincial Population and Public Health, Alberta Health Services, Canada; Department of Community Health Sciences, University of Calgary, Canada.
| | - G F Teare
- Provincial Population and Public Health, Alberta Health Services, Canada; Department of Community Health Sciences, University of Calgary, Canada
| | - A P Belon
- Centre for Healthy Communities, School of Public Health, University of Alberta, Canada
| | - B Lee
- Centre for Healthy Communities, School of Public Health, University of Alberta, Canada
| | - M O Kim
- Centre for Healthy Communities, School of Public Health, University of Alberta, Canada
| | - C Nykiforuk
- Centre for Healthy Communities, School of Public Health, University of Alberta, Canada
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23
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Tope P, Morais S, El-Zein M, Franco EL, Malagón T. Differences in site-specific cancer incidence by individual- and area-level income in Canada from 2006 to 2015. Int J Cancer 2023; 153:1766-1783. [PMID: 37493243 DOI: 10.1002/ijc.34661] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 05/31/2023] [Accepted: 06/26/2023] [Indexed: 07/27/2023]
Abstract
Income, a component of socioeconomic status, influences cancer risk as a social determinant of health. We evaluated the independent associations between individual- and area-level income and site-specific cancer incidence in Canada. We used data from the 2006 and 2011 Canadian Census Health and Environment Cohorts, which are probabilistically linked datasets constituted by 5.9 million and 6.5 million respondents of the 2006 Canadian long-form census and 2011 National Household Survey, respectively. Individuals were linked to the Canadian Cancer Registry through 2015. Individual-level income was derived using after-tax household income adjusted for household size. Annual tax return postal codes were used to assign area-level income quintiles to individuals for each year of follow-up. We calculated age-standardized incidence rates (ASIR) and rate ratios for cancers overall and by site. We conducted multivariable negative binomial regression to adjust these rates for other demographic and socioeconomic variables. Individuals of lower individual- and area-level income had higher ASIRs compared to those in the wealthiest income quintile for head and neck, oropharyngeal, esophageal, stomach, colorectal, anal, liver, pancreas, lung, cervical and kidney and renal pelvis cancers. Conversely, individuals of wealthier individual- and area-level income had higher ASIRs for melanoma, leukemia, Hodgkin's lymphoma, non-Hodgkin's lymphoma, breast, uterine, prostate and testicular cancers. Most differences in site-specific incidence by income quintile remained after adjustment. Although Canada's publicly funded healthcare system provides universal coverage, inequalities in cancer incidence persist across individual- and area-level income gradients. Our estimates suggest that individual- and area-level income affect cancer incidence through independent mechanisms.
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Affiliation(s)
- Parker Tope
- Division of Cancer Epidemiology, Department of Oncology, McGill University, Montreal, Quebec, Canada
| | - Samantha Morais
- Division of Cancer Epidemiology, Department of Oncology, McGill University, Montreal, Quebec, Canada
| | - Mariam El-Zein
- Division of Cancer Epidemiology, Department of Oncology, McGill University, Montreal, Quebec, Canada
| | - Eduardo L Franco
- Division of Cancer Epidemiology, Department of Oncology, McGill University, Montreal, Quebec, Canada
| | - Talía Malagón
- Division of Cancer Epidemiology, Department of Oncology, McGill University, Montreal, Quebec, Canada
- St. Mary's Research Centre, Montréal West Island CIUSSS, Montreal, Quebec, Canada
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24
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Orange ST. What is the optimal type and dose of physical activity for colorectal cancer prevention? Best Pract Res Clin Gastroenterol 2023; 66:101841. [PMID: 37852708 DOI: 10.1016/j.bpg.2023.101841] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 05/04/2023] [Accepted: 05/17/2023] [Indexed: 10/20/2023]
Abstract
Epidemiological evidence shows that higher levels of physical activity reduce the relative risk of colon cancer by up to 20%. To design optimal physical activity interventions for primary prevention, it is important to understand how the specific characteristics of physical activity (type, intensity, overall volume) influence the magnitude of colon cancer risk reduction. Improving our understanding of the underlying biological mechanisms will also help to manipulate physical activity characteristics to precisely target mechanisms of action and identify populations most likely to benefit. This review synthesizes the best available evidence to explore how the type and dose of physical activity moderate the protective effect of physical activity on colon cancer.
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Affiliation(s)
- Samuel T Orange
- Newcastle University Centre for Cancer, Newcastle University, Newcastle Upon Tyne, UK; School of Biomedical, Nutritional and Sport Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
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25
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Laaksonen MA, Li S, Canfell K, MacInnis RJ, Giles GG, Banks E, Byles JE, Magliano DJ, Shaw JE, Gill TK, Hirani V, Cumming RG, Mitchell P, Bonello M, Vajdic CM. The future burden of oesophageal and stomach cancers attributable to modifiable behaviours in Australia: a pooled cohort study. Br J Cancer 2023; 128:1052-1069. [PMID: 36564563 PMCID: PMC10006078 DOI: 10.1038/s41416-022-02104-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 11/29/2022] [Accepted: 12/02/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND We quantified the individual and joint contribution of contemporaneous causal behavioural exposures on the future burden of oesophageal and stomach cancers and their subtypes and assessed whether these burdens differ between population groups in Australia, as such estimates are currently lacking. METHODS We combined hazard ratios from seven pooled Australian cohorts (N = 367,058) linked to national cancer and death registries with exposure prevalence from the 2017-2018 National Health Survey to estimate Population Attributable Fractions (PAFs) with 95% confidence intervals (CIs), accounting for competing risk of death. RESULTS Current and past smoking explain 35.2% (95% CI = 11.7-52.4%), current alcohol consumption exceeding three drinks/day 15.7% (95% CI = 0.9-28.4%), and these exposures jointly 41.4% (95% CI = 19.8-57.3%) of oesophageal squamous cell carcinomas in Australia. Current and past smoking contribute 38.2% (95% CI = 9.4-57.9%), obesity 27.0% (95% CI = 0.6-46.4%), and these exposures jointly 54.4% (95% CI = 25.3-72.1%) of oesophageal adenocarcinomas. Overweight and obesity explain 36.1% (95% CI = 9.1-55.1%), current and past smoking 24.2% (95% CI = 4.2-40.0%), and these exposures jointly 51.2% (95% CI = 26.3-67.8%) of stomach cardia cancers. Several population groups had a significantly higher smoking-attributable oesophageal cancer burden, including men and those consuming excessive alcohol. CONCLUSIONS Smoking is the leading preventable behavioural cause of oesophageal cancers and overweight/obesity of stomach cancers.
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Affiliation(s)
- Maarit A Laaksonen
- School of Mathematics and Statistics, University of New South Wales, Sydney, NSW, Australia.
| | - Siqi Li
- School of Mathematics and Statistics, University of New South Wales, Sydney, NSW, Australia
| | - Karen Canfell
- Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, Sydney, NSW, Australia
| | - Robert J MacInnis
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Emily Banks
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra, ACT, Australia
| | - Julie E Byles
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, NSW, Australia
| | - Dianna J Magliano
- Diabetes and Population Health, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Jonathan E Shaw
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Tiffany K Gill
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Vasant Hirani
- School of Life and Environmental Sciences, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Robert G Cumming
- School of Public Health, The University of Sydney, Sydney, NSW, Australia
- ANZAC Research Institute, The University of Sydney and Concord Hospital, Sydney, NSW, Australia
| | - Paul Mitchell
- Centre for Vision Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia
| | | | - Claire M Vajdic
- Kirby Institute, University of New South Wales, Sydney, NSW, Australia
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26
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Gilham K, Gadermann A, Dummer T, Murphy RA. Mental health, cancer risk, and the mediating role of lifestyle factors in the CARTaGENE cohort study. PLoS One 2023; 18:e0281588. [PMID: 36787319 PMCID: PMC9928103 DOI: 10.1371/journal.pone.0281588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 01/26/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Evidence on the association between mental health disorders and cancer risk is inconclusive, despite well-established associations between mental health disorders and lifestyle factors such as smoking. This study examines the relationships between depression, anxiety and cancer risk, and the potential mediating effects of lifestyle factors. METHODS A study of 34,571 participants aged 40-69 years in the CARTaGENE cohort was conducted. Depression was defined by questionnaire (PHQ-9), antidepressant use, and a composite of questionnaire, antidepressant use, or lifetime self-reported physician diagnosis. Anxiety was defined by questionnaire (GAD-7). Co-morbid depression and anxiety was also assessed. Cox regression models were used to investigate associations between mental health and risk of prostate, lung, and all cancers combined. Mediating effects of lifestyle factors were assessed using Baron and Kenny mediation criteria. RESULTS There were positive associations between mental health disorders, all cancers and lung cancer risk, however with the exception of anxiety and lung cancer in women (Hazard Ratio [HR] = 1.67, 95% CI: 1.01-2.76), associations were attenuated with adjustment for sociodemographics, health status and lifestyle factors. In the mediation analysis, smoking accounted for 27%, 18%, and 26%, of the total effect between depression (PHQ-9), anxiety, and co-morbidity and lung cancer, respectively in women. In men, smoking accounted for 17% of the total effect between depression (PHQ-9, antidepressant, or lifetime self-report of physician diagnosis) and all cancers. CONCLUSIONS Positive associations were observed between mental health disorders, all cancer and lung cancer risk, however most relationships were attenuated with adjustment for lifestyle factors. Smoking status mediated a significant proportion of the relationships between mental health disorders and cancer risk.
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Affiliation(s)
- Kaitlyn Gilham
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Anne Gadermann
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
- Human Early Learning Partnership, School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Health Evaluation and Outcome Sciences, Providence Health Care Research Institute, Vancouver, British Columbia, Canada
| | - Trevor Dummer
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Rachel A. Murphy
- School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
- Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada
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Adhikari K, Kashif Mughal M, Whitworth J, Bischoff M, Teare GF. Implementing Screening, Brief Intervention and Referral Intervention for Health Promotion and Disease Prevention in Hospital Settings in Alberta: A Pilot Study. Int J Public Health 2023; 68:1605038. [PMID: 36816832 PMCID: PMC9931591 DOI: 10.3389/ijph.2023.1605038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 01/10/2023] [Indexed: 02/05/2023] Open
Abstract
Objective: This study assessed the feasibility of implementing screening, brief intervention and referral (SBIR) intervention in hospital settings. Methods: This cross-sectional study evaluated the implementation of the SBIR intervention in a hospital in Alberta for tobacco use, alcohol intake, physical inactivity, and insufficient vegetable and fruit consumption. Patients were interviewed approximately 4-month later to collect data on the acceptability and effectiveness of the intervention received (n = 108). The data were primarily analyzed using descriptive statistics. Results: Of 108 patients, >80% agreed that "they were ok with being screened" for the risk factors during their hospital visit. Up to 68% of patients recalled the provider's brief education. At the follow-up, 20% of patients quit tobacco, 50% reduced alcohol use, 30% increased physical activity, and 25% increased vegetable and fruit intake. Conclusion: Risk factor screening was acceptable for patients. Patients recalled the brief education they received from healthcare providers. Patients reported risk-reducing changes in their risk factors. Our future work will integrate the SBIR approach within the Electronic Clinical Information System and use robust research methods to investigate the impact of SBIR on patients' behavior change.
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Affiliation(s)
- Kamala Adhikari
- Alberta Health Services, Provincial Population and Public Health, Calgary, AB, Canada,Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada,*Correspondence: Kamala Adhikari, , , orcid.org/0000-0003-2872-9496
| | | | - James Whitworth
- Alberta Health Services, Provincial Population and Public Health, Calgary, AB, Canada
| | - Madison Bischoff
- Alberta Health Services, Provincial Population and Public Health, Calgary, AB, Canada
| | - Gary F. Teare
- Alberta Health Services, Provincial Population and Public Health, Calgary, AB, Canada,Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
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28
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Clemente-Suárez VJ, Martín-Rodríguez A, Redondo-Flórez L, Ruisoto P, Navarro-Jiménez E, Ramos-Campo DJ, Tornero-Aguilera JF. Metabolic Health, Mitochondrial Fitness, Physical Activity, and Cancer. Cancers (Basel) 2023; 15:814. [PMID: 36765772 PMCID: PMC9913323 DOI: 10.3390/cancers15030814] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 01/31/2023] Open
Abstract
Cancer continues to be a significant global health issue. Traditional genetic-based approaches to understanding and treating cancer have had limited success. Researchers are increasingly exploring the impact of the environment, specifically inflammation and metabolism, on cancer development. Examining the role of mitochondria in this context is crucial for understanding the connections between metabolic health, physical activity, and cancer. This study aimed to review the literature on this topic through a comprehensive narrative review of various databases including MedLine (PubMed), Cochrane (Wiley), Embase, PsychINFO, and CinAhl. The review highlighted the importance of mitochondrial function in overall health and in regulating key events in cancer development, such as apoptosis. The concept of "mitochondrial fitness" emphasizes the crucial role of mitochondria in cell metabolism, particularly their oxidative functions, and how proper function can prevent replication errors and regulate apoptosis. Engaging in high-energy-demanding movement, such as exercise, is a powerful intervention for improving mitochondrial function and increasing resistance to environmental stressors. These findings support the significance of considering the role of the environment, specifically inflammation and metabolism, in cancer development and treatment. Further research is required to fully understand the mechanisms by which physical activity improves mitochondrial function and potentially reduces the risk of cancer.
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Affiliation(s)
| | | | - Laura Redondo-Flórez
- Department of Health Sciences, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, C/Tajo s/n Villaviciosa de Odón, 28670 Madrid, Spain
| | - Pablo Ruisoto
- Department of Health Sciences, Public University of Navarre, 31006 Navarre, Spain
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Brobbey A, Rydz E, Fenton S, Demers PA, Ge CB, Peters CE. Characterizing occupational radon exposure greater than 100 Bq/m 3 in a highly exposed country. Sci Rep 2022; 12:21323. [PMID: 36494406 PMCID: PMC9734100 DOI: 10.1038/s41598-022-25547-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
Radon is an established lung carcinogen concentrating in indoor environments with importance for many workers worldwide. However, a systematic assessment of radon levels faced by all workers, not just those with direct uranium or radon exposure, has not previously been completed. The objective of this study was to estimate the prevalence of workers exposed to radon, and the level of exposure (> 100-200 Bq/m3, 200-400 Bq/m3, 400-800 Bq/m3, and > 800 Bq/m3) in a highly exposed country (Canada). Exposures among underground workers were assessed using the CAREX Canada approach. Radon concentrations in indoor workplaces, obtained from two Canadian surveys, were modelled using lognormal distributions. Distributions were then applied to the susceptible indoor worker population to yield the number of exposed workers, by occupation, industry, province, and sex. In total, an estimated 603,000 out of Canada's 18,268,120 workers are exposed to radon in Canada. An estimated52% of exposed workers are women, even though they comprise only 48% of the labour force. The majority (68%) are exposed at a level of > 100-200 Bq/m3. Workers are primarily exposed in educational services, professional, scientific and technical services, and health care and social assistance, but workers in mining, quarrying, and oil and gas extraction have the largest number of exposed workers at high levels (> 800 Bq/m3). Overall, a significant number of workers are exposed to radon, many of whom are not adequately protected by existing guidelines. Radon surveys across multiple industries and occupations are needed to better characterize occupational exposure. These results can be used to identify exposed workers, and to support lung cancer prevention programs within these groups.
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Affiliation(s)
- A Brobbey
- CAREX Canada, School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - E Rydz
- CAREX Canada, School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - S Fenton
- CAREX Canada, School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - P A Demers
- Occupational Cancer Research Centre, Ontario Health, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - C B Ge
- TNO, The Hague, The Netherlands
| | - C E Peters
- CAREX Canada, School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
- BCCDC, Vancouver, BC, Canada.
- BC Cancer, Vancouver, BC, Canada.
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Jessiman-Perreault G, Li A, Frenette N, Allen Scott L. Investigating the early impacts of the COVID-19 pandemic on modifiable risk factors for cancer and chronic disease: a repeated cross-sectional study in Alberta, Canada. CANADIAN JOURNAL OF PUBLIC HEALTH = REVUE CANADIENNE DE SANTE PUBLIQUE 2022; 113:904-917. [PMID: 36050599 PMCID: PMC9436164 DOI: 10.17269/s41997-022-00685-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 07/27/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVES This study contributes to empirical evidence by examining the impact of the first and second waves of the COVID-19 pandemic on modifiable risk factors (MRF) and whether these patterns differ according to level of material deprivation among people living in Alberta. METHODS Using data from a repeated cross-sectional provincial health survey (Alberta Community Health Survey (ACHS): 2018-2021), we conducted logistic regression analyses examining the impacts of the COVID-19 pandemic on meeting national guidelines on four MRFs (tobacco use, physical activity, fruit and vegetable consumption, alcohol use) (n=11,249). We compared population-level changes in MRFs from one year before the COVID-19 pandemic (March 2019-February 2020) to one year during the pandemic (March 2020-February 2021) in Alberta. We also assessed whether these trends differed by a measure of material deprivation. RESULTS Compared to the pre-COVID-19 period, the fully adjusted odds of meeting recommended guidelines for fruit and vegetable consumption (OR=0.42) decreased during the pandemic. Individuals experiencing high material deprivation had lower odds of meeting recommended guidelines for physical activity (OR=0.65) and higher odds of not being current tobacco users (OR=1.36) during the pandemic versus during the pre-pandemic period. CONCLUSION At a population level, analyses from the ACHS showed minimal impacts of the first year of the COVID-19 pandemic on MRFs, besides fruit and vegetable consumption. Yet, stratifying results showed statistically significant differences in pandemic impacts on MRFs by level of material deprivation. Therefore, understanding the influence of material deprivation on MRFs during the pandemic is key to tailoring future public health interventions promoting health and preventing cancer and chronic disease.
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Affiliation(s)
- Geneviève Jessiman-Perreault
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada.
- Department of Public Health Sciences, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
| | - Alvin Li
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada
| | - Nicole Frenette
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada
| | - Lisa Allen Scott
- Cancer Prevention and Screening Innovation, Provincial Population and Public Health, Alberta Health Services, Calgary, AB, Canada
- Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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31
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Denk D, Greten FR. Inflammation: the incubator of the tumor microenvironment. Trends Cancer 2022; 8:901-914. [PMID: 35907753 DOI: 10.1016/j.trecan.2022.07.002] [Citation(s) in RCA: 127] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/28/2022] [Accepted: 07/04/2022] [Indexed: 12/24/2022]
Abstract
An inflammatory microenvironment, either conferred by an underlying chronic overt or smoldering inflammatory condition constitutes a prerequisite and fuel to essentially all cancers. The complex reciprocal interplay of different cell types in the tumor microenvironment (TME) determines patient outcome. Apart from the actual tumor cells, local and recruited nonmalignant cells as well as the intestinal microbiome actively shape polarization and plasticity of cells in the TME, thereby augmenting protumorigenic and prometastatic inflammatory processes. Here, we address the universality of inflammation in carcinogenesis, review distinct forms of tumor related inflammation and highlight critical processes in the TME actively sustaining a nurturing incubator for cancer progression and therapy resistance.
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Affiliation(s)
- Dominic Denk
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Department of Medicine 1, Goethe-University Hospital Frankfurt, Germany
| | - Florian R Greten
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, 60596 Frankfurt/Main, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
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Tran KB, Lang JJ, Compton K, Xu R, Acheson AR, Henrikson HJ, Kocarnik JM, Penberthy L, Aali A, Abbas Q, Abbasi B, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abbastabar H, Abdelmasseh M, Abd-Elsalam S, Abdelwahab AA, Abdoli G, Abdulkadir HA, Abedi A, Abegaz KH, Abidi H, Aboagye RG, Abolhassani H, Absalan A, Abtew YD, Abubaker Ali H, Abu-Gharbieh E, Achappa B, Acuna JM, Addison D, Addo IY, Adegboye OA, Adesina MA, Adnan M, Adnani QES, Advani SM, Afrin S, Afzal MS, Aggarwal M, Ahinkorah BO, Ahmad AR, Ahmad R, Ahmad S, Ahmad S, Ahmadi S, Ahmed H, Ahmed LA, Ahmed MB, Ahmed Rashid T, Aiman W, Ajami M, Akalu GT, Akbarzadeh-Khiavi M, Aklilu A, Akonde M, Akunna CJ, Al Hamad H, Alahdab F, Alanezi FM, Alanzi TM, Alessy SA, Algammal AM, Al-Hanawi MK, Alhassan RK, Ali BA, Ali L, Ali SS, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Al-Maweri SAA, Almustanyir S, Alonso N, Alqalyoobi S, Al-Raddadi RM, Al-Rifai RHH, Al-Sabah SK, Al-Tammemi AB, Altawalah H, Alvis-Guzman N, Amare F, Ameyaw EK, Aminian Dehkordi JJ, Amirzade-Iranaq MH, Amu H, Amusa GA, Ancuceanu R, Anderson JA, Animut YA, Anoushiravani A, Anoushirvani AA, Ansari-Moghaddam A, Ansha MG, Antony B, Antwi MH, Anwar SL, Anwer R, Anyasodor AE, et alTran KB, Lang JJ, Compton K, Xu R, Acheson AR, Henrikson HJ, Kocarnik JM, Penberthy L, Aali A, Abbas Q, Abbasi B, Abbasi-Kangevari M, Abbasi-Kangevari Z, Abbastabar H, Abdelmasseh M, Abd-Elsalam S, Abdelwahab AA, Abdoli G, Abdulkadir HA, Abedi A, Abegaz KH, Abidi H, Aboagye RG, Abolhassani H, Absalan A, Abtew YD, Abubaker Ali H, Abu-Gharbieh E, Achappa B, Acuna JM, Addison D, Addo IY, Adegboye OA, Adesina MA, Adnan M, Adnani QES, Advani SM, Afrin S, Afzal MS, Aggarwal M, Ahinkorah BO, Ahmad AR, Ahmad R, Ahmad S, Ahmad S, Ahmadi S, Ahmed H, Ahmed LA, Ahmed MB, Ahmed Rashid T, Aiman W, Ajami M, Akalu GT, Akbarzadeh-Khiavi M, Aklilu A, Akonde M, Akunna CJ, Al Hamad H, Alahdab F, Alanezi FM, Alanzi TM, Alessy SA, Algammal AM, Al-Hanawi MK, Alhassan RK, Ali BA, Ali L, Ali SS, Alimohamadi Y, Alipour V, Aljunid SM, Alkhayyat M, Al-Maweri SAA, Almustanyir S, Alonso N, Alqalyoobi S, Al-Raddadi RM, Al-Rifai RHH, Al-Sabah SK, Al-Tammemi AB, Altawalah H, Alvis-Guzman N, Amare F, Ameyaw EK, Aminian Dehkordi JJ, Amirzade-Iranaq MH, Amu H, Amusa GA, Ancuceanu R, Anderson JA, Animut YA, Anoushiravani A, Anoushirvani AA, Ansari-Moghaddam A, Ansha MG, Antony B, Antwi MH, Anwar SL, Anwer R, Anyasodor AE, Arabloo J, Arab-Zozani M, Aremu O, Argaw AM, Ariffin H, Aripov T, Arshad M, Artaman A, Arulappan J, Aruleba RT, Aryannejad A, Asaad M, Asemahagn MA, Asemi Z, Asghari-Jafarabadi M, Ashraf T, Assadi R, Athar M, Athari SS, Atout MMW, Attia S, Aujayeb A, Ausloos M, Avila-Burgos L, Awedew AF, Awoke MA, Awoke T, Ayala Quintanilla BP, Ayana TM, Ayen SS, Azadi D, Azadnajafabad S, Azami-Aghdash S, Azanaw MM, Azangou-Khyavy M, Azari Jafari A, Azizi H, Azzam AYY, Babajani A, Badar M, Badiye AD, Baghcheghi N, Bagheri N, Bagherieh S, Bahadory S, Baig AA, Baker JL, Bakhtiari A, Bakshi RK, Banach M, Banerjee I, Bardhan M, Barone-Adesi F, Barra F, Barrow A, Bashir NZ, Bashiri A, Basu S, Batiha AMM, Begum A, Bekele AB, Belay AS, Belete MA, Belgaumi UI, Bell AW, Belo L, Benzian H, Berhie AY, Bermudez ANC, Bernabe E, Bhagavathula AS, Bhala N, Bhandari BB, Bhardwaj N, Bhardwaj P, Bhattacharyya K, Bhojaraja VS, Bhuyan SS, Bibi S, Bilchut AH, Bintoro BS, Biondi A, Birega MGB, Birhan HE, Bjørge T, Blyuss O, Bodicha BBA, Bolla SR, Boloor A, Bosetti C, Braithwaite D, Brauer M, Brenner H, Briko AN, Briko NI, Buchanan CM, Bulamu NB, Bustamante-Teixeira MT, Butt MH, Butt NS, Butt ZA, Caetano dos Santos FL, Cámera LA, Cao C, Cao Y, Carreras G, Carvalho M, Cembranel F, Cerin E, Chakraborty PA, Charalampous P, Chattu VK, Chimed-Ochir O, Chirinos-Caceres JL, Cho DY, Cho WCS, Christopher DJ, Chu DT, Chukwu IS, Cohen AJ, Conde J, Cortés S, Costa VM, Cruz-Martins N, Culbreth GT, Dadras O, Dagnaw FT, Dahlawi SMA, Dai X, Dandona L, Dandona R, Daneshpajouhnejad P, Danielewicz A, Dao ATM, Darvishi Cheshmeh Soltani R, Darwesh AM, Das S, Davitoiu DV, Davtalab Esmaeili E, De la Hoz FP, Debela SA, Dehghan A, Demisse B, Demisse FW, Denova-Gutiérrez E, Derakhshani A, Derbew Molla M, Dereje D, Deribe KS, Desai R, Desalegn MD, Dessalegn FN, Dessalegni SAA, Dessie G, Desta AA, Dewan SMR, Dharmaratne SD, Dhimal M, Dianatinasab M, Diao N, Diaz D, Digesa LE, Dixit SG, Doaei S, Doan LP, Doku PN, Dongarwar D, dos Santos WM, Driscoll TR, Dsouza HL, Durojaiye OC, Edalati S, Eghbalian F, Ehsani-Chimeh E, Eini E, Ekholuenetale M, Ekundayo TC, Ekwueme DU, El Tantawi M, Elbahnasawy MA, Elbarazi I, Elghazaly H, Elhadi M, El-Huneidi W, Emamian MH, Engelbert Bain L, Enyew DB, Erkhembayar R, Eshetu T, Eshrati B, Eskandarieh S, Espinosa-Montero J, Etaee F, Etemadimanesh A, Eyayu T, Ezeonwumelu IJ, Ezzikouri S, Fagbamigbe AF, Fahimi S, Fakhradiyev IR, Faraon EJA, Fares J, Farmany A, Farooque U, Farrokhpour H, Fasanmi AO, Fatehizadeh A, Fatima W, Fattahi H, Fekadu G, Feleke BE, Ferrari AA, Ferrero S, Ferro Desideri L, Filip I, Fischer F, Foroumadi R, Foroutan M, Fukumoto T, Gaal PA, Gad MM, Gadanya MA, Gaipov A, Galehdar N, Gallus S, Garg T, Gaspar Fonseca M, Gebremariam YH, Gebremeskel TG, Gebremichael MA, Geda YF, Gela YY, Gemeda BNB, Getachew M, Getachew ME, Ghaffari K, Ghafourifard M, Ghamari SH, Ghasemi Nour M, Ghassemi F, Ghimire A, Ghith N, Gholamalizadeh M, Gholizadeh Navashenaq J, Ghozy S, Gilani SA, Gill PS, Ginindza TG, Gizaw ATT, Glasbey JC, Godos J, Goel A, Golechha M, Goleij P, Golinelli D, Golitaleb M, Gorini G, Goulart BNG, Grosso G, Guadie HA, Gubari MIM, Gudayu TW, Guerra MR, Gunawardane DA, Gupta B, Gupta S, Gupta VB, Gupta VK, Gurara MK, Guta A, Habibzadeh P, Haddadi Avval A, Hafezi-Nejad N, Hajj Ali A, Haj-Mirzaian A, Halboub ES, Halimi A, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hanif A, Hariri S, Harlianto NI, Haro JM, Hartono RK, Hasaballah AI, Hasan SMM, Hasani H, Hashemi SM, Hassan AM, Hassanipour S, Hayat K, Heidari G, Heidari M, Heidarymeybodi Z, Herrera-Serna BY, Herteliu C, Hezam K, Hiraike Y, Hlongwa MM, Holla R, Holm M, Horita N, Hoseini M, Hossain MM, Hossain MBH, Hosseini MS, Hosseinzadeh A, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Huang J, Hugo FN, Humayun A, Hussain S, Hussein NR, Hwang BF, Ibitoye SE, Iftikhar PM, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Immurana M, Innos K, Iranpour P, Irham LM, Islam MS, Islam RM, Islami F, Ismail NE, Isola G, Iwagami M, J LM, Jaiswal A, Jakovljevic M, Jalili M, Jalilian S, Jamshidi E, Jang SI, Jani CT, Javaheri T, Jayarajah UU, Jayaram S, Jazayeri SB, Jebai R, Jemal B, Jeong W, Jha RP, Jindal HA, John-Akinola YO, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kacimi SEO, Kadashetti V, Kahe F, Kakodkar PV, Kalankesh LR, Kalankesh LR, Kalhor R, Kamal VK, Kamangar F, Kamath A, Kanchan T, Kandaswamy E, Kandel H, Kang H, Kanno GG, Kapoor N, Kar SS, Karanth SD, Karaye IM, Karch A, Karimi A, Kassa BG, Katoto PDMC, Kauppila JH, Kaur H, Kebede AG, Keikavoosi-Arani L, Kejela GG, Kemp Bohan PM, Keramati M, Keykhaei M, Khajuria H, Khan A, Khan AAK, Khan EA, Khan G, Khan MN, Khan MAB, Khanali J, Khatab K, Khatatbeh MM, Khatib MN, Khayamzadeh M, Khayat Kashani HR, Khazeei Tabari MA, Khezeli M, Khodadost M, Kim MS, Kim YJ, Kisa A, Kisa S, Klugar M, Klugarová J, Kolahi AA, Kolkhir P, Kompani F, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy Y, Kucuk Bicer B, Kugbey N, Kulimbet M, Kumar A, Kumar GA, Kumar N, Kurmi OP, Kuttikkattu A, La Vecchia C, Lahiri A, Lal DK, Lám J, Lan Q, Landires I, Larijani B, Lasrado S, Lau J, Lauriola P, Ledda C, Lee SW, Lee SWH, Lee WC, Lee YY, Lee YH, Legesse SM, Leigh J, Leong E, Li MC, Lim SS, Liu G, Liu J, Lo CH, Lohiya A, Lopukhov PD, Lorenzovici L, Lotfi M, Loureiro JA, Lunevicius R, Madadizadeh F, Mafi AR, Magdeldin S, Mahjoub S, Mahmoodpoor A, Mahmoudi M, Mahmoudimanesh M, Mahumud RA, Majeed A, Majidpoor J, Makki A, Makris KC, Malakan Rad E, Malekpour MR, Malekzadeh R, Malik AA, Mallhi TH, Mallya SD, Mamun MA, Manda AL, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Mantovani LG, Martini S, Martorell M, Masoudi S, Masoumi SZ, Matei CN, Mathews E, Mathur MR, Mathur V, McKee M, Meena JK, Mehmood K, Mehrabi Nasab E, Mehrotra R, Melese A, Mendoza W, Menezes RG, Mengesha SID, Mensah LG, Mentis AFA, Mera-Mamián AYM, Meretoja TJ, Merid MW, Mersha AG, Meselu BT, Meshkat M, Mestrovic T, Miao Jonasson J, Miazgowski T, Michalek IM, Mijena GFW, Miller TR, Mir SA, Mirinezhad SK, Mirmoeeni S, Mirza-Aghazadeh-Attari M, Mirzaei H, Mirzaei HR, Misganaw AS, Misra S, Mohammad KA, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mohammed S, Mohan S, Mohseni M, Moka N, Mokdad AH, Molassiotis A, Molokhia M, Momenzadeh K, Momtazmanesh S, Monasta L, Mons U, Montasir AA, Montazeri F, Montero A, Moosavi MA, Moradi A, Moradi Y, Moradi Sarabi M, Moraga P, Morawska L, Morrison SD, Morze J, Mosapour A, Mostafavi E, Mousavi SM, Mousavi Isfahani H, Mousavi Khaneghah A, Mpundu-Kaambwa C, Mubarik S, Mulita F, Munblit D, Munro SB, Murillo-Zamora E, Musa J, Nabhan AF, Nagarajan AJ, Nagaraju SP, Nagel G, Naghipour M, Naimzada MD, Nair TS, Naqvi AA, Narasimha Swamy S, Narayana AI, Nassereldine H, Natto ZS, Nayak BP, Ndejjo R, Nduaguba SO, Negash WW, Nejadghaderi SA, Nejati K, Neupane Kandel S, Nguyen HVN, Niazi RK, Noor NM, Noori M, Noroozi N, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nzoputam CI, Nzoputam OJ, Oancea B, Odukoya OO, Oghenetega OB, Ogunsakin RE, Oguntade AS, Oh IH, Okati-Aliabad H, Okekunle AP, Olagunju AT, Olagunju TO, Olakunde BO, Olufadewa II, Omer E, Omonisi AEE, Ong S, Onwujekwe OE, Orru H, Otstavnov SS, Oulhaj A, Oumer B, Owopetu OF, Oyinloye BE, P A M, Padron-Monedero A, Padubidri JR, Pakbin B, Pakshir K, Pakzad R, Palicz T, Pana A, Pandey A, Pandey A, Pant S, Pardhan S, Park EC, Park EK, Park S, Patel J, Pati S, Paudel R, Paudel U, Paun M, Pazoki Toroudi H, Peng M, Pereira J, Pereira RB, Perna S, Perumalsamy N, Pestell RG, Pezzani R, Piccinelli C, Pillay JD, Piracha ZZ, Pischon T, Postma MJ, Pourabhari Langroudi A, Pourshams A, Pourtaheri N, Prashant A, Qadir MMF, Quazi Syed Z, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Radhakrishnan V, Raeisi M, Rafiee A, Rafiei A, Raheem N, Rahim F, Rahman MO, Rahman M, Rahman MA, Rahmani AM, Rahmani S, Rahmanian V, Rajai N, Rajesh A, Ram P, Ramezanzadeh K, Rana J, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rashedi S, Rashidi A, Rashidi M, Rashidi MM, Ratan ZA, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Razeghinia MS, Rehman AU, Rehman IU, Reitsma MB, Renzaho AMN, Rezaei M, Rezaei N, Rezaei N, Rezaei N, Rezaei S, Rezaeian M, Rezapour A, Riad A, Rikhtegar R, Rios-Blancas M, Roberts TJ, Rohloff P, Romero-Rodríguez E, Roshandel G, Rwegerera GM, S M, Saber-Ayad MM, Saberzadeh-Ardestani B, Sabour S, Saddik B, Sadeghi E, Saeb MR, Saeed U, Safaei M, Safary A, Sahebazzamani M, Sahebkar A, Sahoo H, Sajid MR, Salari H, Salehi S, Salem MR, Salimzadeh H, Samodra YL, Samy AM, Sanabria J, Sankararaman S, Sanmarchi F, Santric-Milicevic MM, Saqib MAN, Sarveazad A, Sarvi F, Sathian B, Satpathy M, Sayegh N, Schneider IJC, Schwarzinger M, Šekerija M, Senthilkumaran S, Sepanlou SG, Seylani A, Seyoum K, Sha F, Shafaat O, Shah PA, Shahabi S, Shahid I, Shahrbaf MA, Shahsavari HR, Shaikh MA, Shaka MF, Shaker E, Shannawaz M, Sharew MMS, Sharifi A, Sharifi-Rad J, Sharma P, Shashamo BB, Sheikh A, Sheikh M, Sheikhbahaei S, Sheikhi RA, Sheikhy A, Shepherd PR, Shetty A, Shetty JK, Shetty RS, Shibuya K, Shirkoohi R, Shirzad-Aski H, Shivakumar KM, Shivalli S, Shivarov V, Shobeiri P, Shokri Varniab Z, Shorofi SA, Shrestha S, Sibhat MM, Siddappa Malleshappa SK, Sidemo NB, Silva DAS, Silva LMLR, Silva Julian G, Silvestris N, Simegn W, Singh AD, Singh A, Singh G, Singh H, Singh JA, Singh JK, Singh P, Singh S, Sinha DN, Sinke AH, Siraj MS, Sitas F, Siwal SS, Skryabin VY, Skryabina AA, Socea B, Soeberg MJ, Sofi-Mahmudi A, Solomon Y, Soltani-Zangbar MS, Song S, Song Y, Sorensen RJD, Soshnikov S, Sotoudeh H, Sowe A, Sufiyan MB, Suk R, Suleman M, Suliankatchi Abdulkader R, Sultana S, Sur D, Szócska M, Tabaeian SP, Tabarés-Seisdedos R, Tabatabaei SM, Tabuchi T, Tadbiri H, Taheri E, Taheri M, Taheri Soodejani M, Takahashi K, Talaat IM, Tampa M, Tan KK, Tat NY, Tat VY, Tavakoli A, Tavakoli A, Tehrani-Banihashemi A, Tekalegn Y, Tesfay FH, Thapar R, Thavamani A, Thoguluva Chandrasekar V, Thomas N, Thomas NK, Ticoalu JHV, Tiyuri A, Tollosa DN, Topor-Madry R, Touvier M, Tovani-Palone MR, Traini E, Tran MTN, Tripathy JP, Ukke GG, Ullah I, Ullah S, Ullah S, Unnikrishnan B, Vacante M, Vaezi M, Valadan Tahbaz S, Valdez PR, Vardavas C, Varthya SB, Vaziri S, Velazquez DZ, Veroux M, Villeneuve PJ, Violante FS, Vladimirov SK, Vlassov V, Vo B, Vu LG, Wadood AW, Waheed Y, Walde MT, Wamai RG, Wang C, Wang F, Wang N, Wang Y, Ward P, Waris A, Westerman R, Wickramasinghe ND, Woldemariam M, Woldu B, Xiao H, Xu S, Xu X, Yadav L, Yahyazadeh Jabbari SH, Yang L, Yazdanpanah F, Yeshaw Y, Yismaw Y, Yonemoto N, Younis MZ, Yousefi Z, Yousefian F, Yu C, Yu Y, Yunusa I, Zahir M, Zaki N, Zaman BA, Zangiabadian M, Zare F, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zeineddine MA, Zhang D, Zhang J, Zhang Y, Zhang ZJ, Zhou L, Zodpey S, Zoladl M, Vos T, Hay SI, Force LM, Murray CJL. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2022; 400:563-591. [PMID: 35988567 PMCID: PMC9395583 DOI: 10.1016/s0140-6736(22)01438-6] [Show More Authors] [Citation(s) in RCA: 468] [Impact Index Per Article: 156.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/13/2022] [Accepted: 07/28/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]). INTERPRETATION The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. FUNDING Bill & Melinda Gates Foundation.
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Sun M, Bjørge T, Teleka S, Engeland A, Wennberg P, Häggström C, Stocks T. Interaction of leisure-time physical activity with body mass index on the risk of obesity-related cancers: a pooled study. Int J Cancer 2022; 151:859-868. [PMID: 35362551 PMCID: PMC9546504 DOI: 10.1002/ijc.34011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 03/21/2022] [Accepted: 03/22/2022] [Indexed: 11/08/2022]
Abstract
Physical activity (PA) has been associated with a lower risk of some obesity-related cancers, but the combined association and interaction of PA and body weight on obesity-related cancer risk is less clear. We examined the association of leisure-time PA (high/low) and its combination with body mass index (BMI, <25 [low]/≥25 [high] kg/m2 ) on obesity-related cancer risk in 570 021 individuals, aged 43 years on average at baseline, in five Scandinavian cohorts. We used Cox regression to calculate hazard ratios of obesity-related cancers (n = 19 074) and assessed multiplicative and additive interactions between PA and BMI on risk. High leisure-time PA, recorded in 19% of the individuals, was associated with a 7% (95% confidence interval [CI] 4-10%) lower risk of any obesity-related cancer compared to low PA, with similar associations amongst individuals with a low and a high BMI (6% [1-11%] and 7% [2-11%]). High PA was also associated with decreased risks of renal cell (11% [9-31%]) and colon cancer (9% [2-16%]). When high PA and low BMI were combined, the relative risk reduction for all obesity-related cancers was 24% (95% CI 20-28%); endometrial cancer, 47% (35-57%); renal cell cancer, 39% (27-51%); colon cancer, 27% (19-35%); multiple myeloma, 23% (2-40%); and pancreatic cancer, 21% (4-35%), compared to low PA-high BMI. There were no additive or multiplicative interactions between PA and BMI on risk. The result of this study suggests a reduced risk of obesity-related cancer by leisure-time PA in both normal weight and overweight individuals, which further decreased for PA and normal weight combined.
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Affiliation(s)
- Ming Sun
- Department of Clinical Sciences in Lund, Lund University, Lund, Sweden
| | - Tone Bjørge
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,Cancer Registry of Norway, Oslo, Norway
| | - Stanley Teleka
- Department of Clinical Sciences in Lund, Lund University, Lund, Sweden.,Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Anders Engeland
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,Division of Mental and Physical Health, Norwegian Institute of Public Health, Bergen, Norway
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Christel Häggström
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.,Northern Register Centre, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Tanja Stocks
- Department of Clinical Sciences in Lund, Lund University, Lund, Sweden
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Brennan P, Davey-Smith G. Identifying Novel Causes of Cancers to Enhance Cancer Prevention: New Strategies Are Needed. J Natl Cancer Inst 2022; 114:353-360. [PMID: 34743211 PMCID: PMC8902436 DOI: 10.1093/jnci/djab204] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 08/30/2021] [Accepted: 10/29/2021] [Indexed: 12/09/2022] Open
Abstract
The burden of cancer from a clinical, societal, and economic viewpoint continues to increase in all parts of the world, along with much debate regarding how to confront this. Projected increases in cancer indicate a 50% increase in the number of cases over the next 2 decades, with the greatest proportional increase in low- and medium-income settings. In contrast to the historic high cancer burden due to viral and bacterial infections in these regions, future increases are expected to be due to cancers linked to westernization including breast, colorectum, lung, and prostate cancer. Identifying the reasons underlying these increases will be paramount to informing prevention efforts. Evidence from epidemiological and laboratory studies conducted in high-income countries over the last 70 years has led to the conclusion that approximately 40% of the cancer burden is explained by known risk factors-the 2 most important being tobacco and obesity in that order-raising the question of what is driving the rest of the cancer burden. International cancer statistics continue to show that approximately 80% of the cancer burden in high-income countries could be preventable in principle, implying that there are important environmental or lifestyle risk factors for cancer that have not yet been discovered. Emerging genomic evidence from population and experimental studies points to an important role for nonmutagenic promoters in driving cancer incidence rates. New research strategies and infrastructures that combine population-based and laboratory research at a global level are required to break this deadlock.
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Affiliation(s)
- Paul Brennan
- International Agency for Research on Cancer (IARC/WHO), Genomic Epidemiology Branch, Lyon, France
| | - George Davey-Smith
- Medical Research Council Integrative Epidemiology Unit (IEU), University of Bristol, Clifton, Bristol, UK
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Inoue M, Hirabayashi M, Abe SK, Katanoda K, Sawada N, Lin Y, Ishihara J, Takachi R, Nagata C, Saito E, Goto A, Ueda K, Tanaka J, Hori M, Matsuda T, the Cancer PAF Japan Collaborators. Burden of cancer attributable to modifiable factors in Japan in 2015. Glob Health Med 2022; 4:26-36. [PMID: 35291201 PMCID: PMC8884043 DOI: 10.35772/ghm.2021.01037] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 12/09/2021] [Accepted: 12/27/2021] [Indexed: 11/08/2022]
Abstract
The This study estimated the cancer burden attributable to modifiable factors in Japan in 2015 using the best available epidemiological evidence and a standard methodology. We selected the following factors for inclusion in the estimates, namely tobacco smoking (active smoking and secondhand smoking), alcohol drinking, excess bodyweight, physical inactivity, infectious agents (Helicobacter pylori, hepatitis C virus, hepatitis B virus, human papilloma virus, Epstein-Barr virus, and human T-cell leukemia virus type 1), dietary intake (highly salted food, fruit, vegetables, dietary fiber, red meat, processed meat), exogenous hormone use, never breastfeeding and air pollution, given that these were considered modifiable, in theory at least. We first estimated the population attributable fraction (PAF) of each cancer attributable to these factors using representative relative risks of Japanese and the prevalence of exposures in Japanese around 2005, in consideration of the 10-year interval between exposure and cancer outcomes. Using nationwide cancer incidence and mortality statistics, we then estimated the attributable cancer incidence and mortality in 2015. We finally obtained the PAF for site-specific and total cancers attributable to all modifiable risk factors using this formula, with statistical consideration of the effect of overlap between risk factors. The results showed that 35.9% of all cancer incidence (43.4% in men and 25.3% in women) and 41.0% of all cancer mortality (49.7% in men and 26.8% in women) would be considered preventable by avoidance of these exposures. Infections and active smoking followed by alcohol drinking were the greatest contributing factors to cancer in Japan in 2015.
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Affiliation(s)
- Manami Inoue
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
- Division of Cohort Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Mayo Hirabayashi
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Sarah Krull Abe
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Kota Katanoda
- Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Yingsong Lin
- Department of Public Health, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
| | - Junko Ishihara
- School of Life and Environmental Science, Department of Food and Life Science, Azabu University, Kanagawa, Japan
| | - Ribeka Takachi
- Department of Food Science and Nutrition, Graduate School of Humanities and Sciences, Nara Women's University, Nara, Japan
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Eiko Saito
- Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan
| | - Atsushi Goto
- Yokohama City University, Department of Health Data Science, Graduate School of Data Science, Yokohama, Japan
| | - Kayo Ueda
- Environmental Health Sciences, Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan
| | - Junko Tanaka
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Megumi Hori
- Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan
| | - Tomohiro Matsuda
- National Cancer Registry Section Center for Cancer Registries Center for Cancer Control and Information Services/Office of International Affairs, Strategic Planning Bureau National Cancer Center, National Cancer Center, Tokyo, Japan
| | - the Cancer PAF Japan Collaborators
- Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
- Division of Cohort Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
- Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan
- Department of Public Health, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan
- School of Life and Environmental Science, Department of Food and Life Science, Azabu University, Kanagawa, Japan
- Department of Food Science and Nutrition, Graduate School of Humanities and Sciences, Nara Women's University, Nara, Japan
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
- Yokohama City University, Department of Health Data Science, Graduate School of Data Science, Yokohama, Japan
- Environmental Health Sciences, Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
- National Cancer Registry Section Center for Cancer Registries Center for Cancer Control and Information Services/Office of International Affairs, Strategic Planning Bureau National Cancer Center, National Cancer Center, Tokyo, Japan
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Rong X, Liu C, Li M, Zhu H, Zhang Y, Su M, Wang X, Li X, Wang K, Yu M, Sheng W, Zhu B. An Integrated Fluorescent Probe for Ratiometric Detection of Glutathione in the Golgi Apparatus and Activated Organelle-Targeted Therapy. Anal Chem 2021; 93:16105-16112. [PMID: 34797641 DOI: 10.1021/acs.analchem.1c03836] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Cancer is a serious threat to human health, and there is an urgent need to develop new treatment methods to overcome it. Organelle targeting therapy, as a highly effective and less toxic side effect treatment strategy, has great research significance and development prospects. Being an essential organelle, the Golgi apparatus plays a particularly major role in the growth of cancer cells. Acting as an indispensable and highly expressed antioxidant in cancer cells, glutathione (GSH) also contributes greatly during the Golgi oxidative stress. Therefore, it counts for much to track the changes of GSH concentration in Golgi for monitoring the occurrence and development of tumor cells, and exploring Golgi-targeted therapy is also extremely important for effective treatment of cancer. In this work, we designed and synthesized a simple Golgi-targeting fluorescent probe GT-GSH for accurately detecting GSH. The probe GT-GSH reacting with GSH decomposes toxic substances to Golgi, thereby killing cancer cells. At the same time, the ratiometric fluorescent probe can detect the concentration changes of GSH in Golgi stress with high sensitivity and selectivity in living cells. Therefore, such a GSH-responsive fluorescent probe with a Golgi-targeted therapy effect gives a new method for accurate treatment of cancer.
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Affiliation(s)
- Xiaodi Rong
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Caiyun Liu
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Mingzhu Li
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Hanchuang Zhu
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Yan Zhang
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Meijun Su
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Xin Wang
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Xiwei Li
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Kun Wang
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Miaohui Yu
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China
| | - Wenlong Sheng
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China
| | - Baocun Zhu
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
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Carey RN, Whiteman DC, Webb PM, Neale RE, Reid A, Norman R, Fritschi L. The future excess fraction of cancer due to lifestyle factors in Australia. Cancer Epidemiol 2021; 75:102049. [PMID: 34710670 DOI: 10.1016/j.canep.2021.102049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 10/08/2021] [Accepted: 10/12/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Many cancers are caused by exposure to lifestyle, environmental, and occupational factors. Earlier studies have estimated the number of cancers occurring in a single year which are attributable to past exposures to these factors. However, there is now increasing appreciation that estimates of the future burden of cancer may be more useful for policy and prevention. We aimed to calculate the future number of cancers expected to arise as a result of exposure to 23 modifiable risk factors. METHODS We used the future excess fraction (FEF) method to estimate the lifetime burden of cancer (2016-2098) among Australian adults who were exposed to modifiable lifestyle, environmental, and occupational risk factors in 2016. Calculations were conducted for 26 cancer sites and 78 cancer-risk factor pairings. RESULTS The cohort of 18.8 million adult Australians in 2016 will develop an estimated 7.6 million cancers during their lifetime, of which 1.8 million (24%) will be attributable to exposure to modifiable risk factors. Cancer sites with the highest number of future attributable cancers were colon and rectum (n = 717,700), lung (n = 380,400), and liver (n = 103,200). The highest number of future cancers will be attributable to exposure to tobacco smoke (n = 583,500), followed by overweight/obesity (n = 333,100) and alcohol consumption (n = 249,700). CONCLUSION A significant proportion of future cancers will result from recent levels of exposure to modifiable risk factors. Our results provide direct, pertinent information to help determine where preventive measures could best be targeted.
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Affiliation(s)
- Renee N Carey
- School of Population Health, Curtin University, Kent Street, Bentley, Western Australia, Australia.
| | - David C Whiteman
- Department of Population Health, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Queensland, Australia
| | - Penelope M Webb
- Department of Population Health, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Queensland, Australia
| | - Rachel E Neale
- Department of Population Health, QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Queensland, Australia
| | - Alison Reid
- School of Population Health, Curtin University, Kent Street, Bentley, Western Australia, Australia
| | - Richard Norman
- School of Population Health, Curtin University, Kent Street, Bentley, Western Australia, Australia
| | - Lin Fritschi
- School of Population Health, Curtin University, Kent Street, Bentley, Western Australia, Australia
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Janjani H, Nabizadeh R, Kashani H, Shamsipour M, Aghaei M, Yunesian M. Spatiotemporal variability of exposure to secondhand smoke in Iran during 2009-2020: a systematic review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:46838-46851. [PMID: 34245414 DOI: 10.1007/s11356-021-15273-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/29/2021] [Indexed: 06/13/2023]
Abstract
The present study aimed to provide a systematic review of studies on the prevalence of secondhand smoke (SHS) exposure in the Iran population as a serious indoor health hazard. A literature review of studies that considered SHS exposure, available in multiple electronic databases including Web of Science, PubMed, and Scopus published 2009-2020 in English and two Persian databases (SID and Magiran), was carried out following the PRISMA recommendations. A total of 55 studies were included based on the inclusion and exclusion criteria and the quality assessment. The results showed no specific decrease in the prevalence of exposure to secondhand smoke in Iran; however, it appeared that the exposure has been increasing. Distribution of studies in terms of age group revealed that most studies (38%) investigated adults (more than 18 years old), while 34% of the studies considered less than 18 years of age group and a single article considered infants (6-24 months). Based on the present study results, a large population of Iran was exposed to SHS. Moreover, based on Iran's STEPs 2016 (Stepwise Non-communicable Diseases Risk Factors Survey in Iran) study, the overall prevalence of SHS exposure at home (57.5%) was higher than in workplaces (49.2%). The results of the present study recommended that protection measures should be comprehensive in terms of exposure places, and since the exposure prevalence in some provinces was higher than the others, it is especially important to consider the local measures and cultural aspects in SHS control programs.
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Affiliation(s)
- Hosna Janjani
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Ramin Nabizadeh
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Homa Kashani
- Department of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Mansour Shamsipour
- Department of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Mina Aghaei
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Masud Yunesian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
- Department of Research Methodology and Data Analysis, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
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Matsuda T, Matsuo K, Sawada N, Inoue M. International strategy in cancer epidemiology: Japan's involvement in global projects and future role. Glob Health Med 2021; 3:187-195. [PMID: 34532599 DOI: 10.35772/ghm.2021.01002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 04/19/2021] [Accepted: 05/10/2021] [Indexed: 12/09/2022]
Abstract
In recent years, collaboration among researchers in the field of cancer epidemiology has been accelerating in various forms. Here, we review recent trends in international collaborative research activities in the cancer epidemiology field in Japan. These include not only support for other countries with less developed cancer statistics infrastructures, but also large-scale compilations and international comparisons through collaborative studies, as well as integration with analytical epidemiology and clinical research. Formation of international cohort consortia and estimates of cancer and risk factors in each country have contributed to raising the skill levels of cancer epidemiologists as well as to expanding research networks and activities among cancer epidemiologists. Molecular and genome epidemiological studies on cancer have progressed over decades and these continue to increase in size and dimension. Application of evidence from this area in prevention is still underway and needs further effort. Japanese epidemiologists have great potential to assume international leadership roles by taking advantage of the uniqueness, originality and characteristics of Japanese cohorts.
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Affiliation(s)
- Tomohiro Matsuda
- Division of International Collaborative Research, Center for Public Health Sciences, National Cancer Center, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Norie Sawada
- Division of Cohort Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Manami Inoue
- Division of Cohort Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.,Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
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40
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Ruan Y, Walter SD, Gogna P, Friedenreich CM, Brenner DR. Simulation study on the validity of the average risk approach in estimating population attributable fractions for continuous exposures. BMJ Open 2021; 11:e045410. [PMID: 34210723 PMCID: PMC8252883 DOI: 10.1136/bmjopen-2020-045410] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The population attributable fraction (PAF) is an important metric for estimating disease burden associated with causal risk factors. In an International Agency for Research on Cancer working group report, an approach was introduced to estimate the PAF using the average of a continuous exposure and the incremental relative risk (RR) per unit. This 'average risk' approach has been subsequently applied in several studies conducted worldwide. However, no investigation of the validity of this method has been done. OBJECTIVE To examine the validity and the potential magnitude of bias of the average risk approach. METHODS We established analytically that the direction of the bias is determined by the shape of the RR function. We then used simulation models based on a variety of risk exposure distributions and a range of RR per unit. We estimated the unbiased PAF from integrating the exposure distribution and RR, and the PAF using the average risk approach. We examined the absolute and relative bias as the direct and relative difference in PAF estimated from the two approaches. We also examined the bias of the average risk approach using real-world data from the Canadian Population Attributable Risk of Cancer study. RESULTS The average risk approach involves bias, which is underestimation or overestimation with a convex or concave RR function (a risk profile that increases more/less rapidly at higher levels of exposure). The magnitude of the bias is affected by the exposure distribution as well as the value of RR. This approach is approximately valid when the RR per unit is small or the RR function is approximately linear. The absolute and relative bias can both be large when RR is not small and the exposure distribution is skewed. CONCLUSIONS We recommend that caution be taken when using the average risk approach to estimate PAF.
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Affiliation(s)
- Yibing Ruan
- Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
| | - Stephen D Walter
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Priyanka Gogna
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Christine M Friedenreich
- Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
- Departments of Oncology and Community Health Sciences, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Darren R Brenner
- Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Alberta, Canada
- Departments of Oncology and Community Health Sciences, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
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41
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Dietary patterns with combined and site-specific cancer incidence in Alberta's Tomorrow Project cohort. Eur J Clin Nutr 2021; 76:360-372. [PMID: 34168294 DOI: 10.1038/s41430-021-00958-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 04/19/2021] [Accepted: 06/03/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND/OBJECTIVES Poor diet quality has been associated with an increased risk of cancer. Here, we examine the association between dietary patterns derived with two methods, and combined and site-specific cancer incidence in Canada. SUBJECTS/METHODS Dietary data were obtained from participants enrolled in Alberta's Tomorrow Project, a prospective cohort study, between 2000 and 2008. Principle component analysis (PCA) and reduced rank regression (RRR) were used to derive dietary patterns, and data linkage with the Alberta Cancer Registry was used for incident cancer cases. Cox proportional hazard regressions were used to estimate multivariable-adjusted models for the association between each dietary pattern score with combined and site-specific cancer incidence. RESULTS PCA revealed three dietary patterns ("western", "prudent", and "sugar, fruits, and dairy") and RRR resulted in four patterns ("dietary fiber", "vitamin D", "fructose", and "discretionary fat"). Five cancer sites were included in our site-specific analysis: lung, colon, breast, prostate, and endometrial cancers. The most protective dietary patterns for combined cancer sites were the "Prudent" pattern (HR = 0.82, CI = 0.73-0.92) and the "Dietary fiber" pattern (HR = 0.82, CI = 0.69-0.97). The "Fructose" pattern was associated with increased risk of combined cancers (HR = 1.14, CI = 1.02-1.27). Three dietary patterns were protective against colon cancer ("Prudent", "Dietary fiber", and "Discretionary fats"), and other risk reductions were seen for the "sugar, fruit, and dairy" pattern (lung cancer), and the "Dietary fiber" pattern (prostate cancer). CONCLUSIONS These results support cancer prevention strategies for a diet high in vegetables, fruits, fish, and whole grains. Further studies should explore the possible association between discretionary fats and colon cancer.
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Qi J, Spinelli JJ, Dummer TJB, Bhatti P, Playdon MC, Levitt JO, Hauner B, Moore SC, Murphy RA. Metabolomics and cancer preventive behaviors in the BC Generations Project. Sci Rep 2021; 11:12094. [PMID: 34103643 PMCID: PMC8187402 DOI: 10.1038/s41598-021-91753-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 05/21/2021] [Indexed: 12/24/2022] Open
Abstract
Metabolomics can detect metabolic shifts resulting from lifestyle behaviors and may provide insight on the relevance of changes to carcinogenesis. We used non-targeted nuclear magnetic resonance to examine associations between metabolic measures and cancer preventive behaviors in 1319 participants (50% male, mean age 54 years) from the BC Generations Project. Behaviors were dichotomized: BMI < 25 kg/m2, ≥ 5 servings of fruits or vegetables/day, ≤ 2 alcoholic drinks/day for men or 1 drink/day for women and ≥ 30 min of moderate or vigorous physical activity/day. Linear regression was used to estimate coefficients and 95% confidence intervals with a false discovery rate (FDR) of 0.10. Of the 218 metabolic measures, 173, 103, 71 and 6 were associated with BMI, fruits and vegetables, alcohol consumption and physical activity. Notable findings included negative associations between glycoprotein acetyls, an inflammation-related metabolite with lower BMI and greater fruit and vegetable consumption, a positive association between polyunsaturated fatty acids and fruit and vegetable consumption and positive associations between high-density lipoprotein subclasses with lower BMI. These findings provide insight into metabolic alterations in the context of cancer prevention and the diverse biological pathways they are involved in. In particular, behaviors related to BMI, fruit and vegetable and alcohol consumption had a large metabolic impact.
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Affiliation(s)
- J Qi
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - J J Spinelli
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - T J B Dummer
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - P Bhatti
- Cancer Control Research, BC Cancer, 2-107, 675 W 10th Ave, Vancouver, BC, V5Z 1L3, Canada
| | - M C Playdon
- Department of Nutrition & Integrative Physiology, University of Utah, Salt Lake City, UT, USA.,Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - J Olin Levitt
- Department of Nutrition & Integrative Physiology, University of Utah, Salt Lake City, UT, USA.,Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - B Hauner
- Department of Nutrition & Integrative Physiology, University of Utah, Salt Lake City, UT, USA.,Cancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - S C Moore
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, Bethesda, MD, USA
| | - R A Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada. .,Cancer Control Research, BC Cancer, 2-107, 675 W 10th Ave, Vancouver, BC, V5Z 1L3, Canada.
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García-Pérez J, Lope V, Fernández de Larrea-Baz N, Molina AJ, Tardón A, Alguacil J, Pérez-Gómez B, Moreno V, Guevara M, Castaño-Vinyals G, Jiménez-Moleón JJ, Gómez-Acebo I, Molina-Barceló A, Martín V, Kogevinas M, Pollán M, Aragonés N. Risk of gastric cancer in the environs of industrial facilities in the MCC-Spain study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 278:116854. [PMID: 33714062 DOI: 10.1016/j.envpol.2021.116854] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 02/23/2021] [Accepted: 02/23/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Gastric cancer is the fifth most frequent tumor worldwide. In Spain, it presents a large geographic variability in incidence, suggesting a possible role of environmental factors in its etiology. Therefore, epidemiologic research focused on environmental exposures is necessary. OBJECTIVES To assess the association between risk of gastric cancer (by histological type and tumor site) and residential proximity to industrial installations, according to categories of industrial groups and specific pollutants released, in the context of a population-based multicase-control study of incident cancer conducted in Spain (MCC-Spain). METHODS In this study, 2664 controls and 137 gastric cancer cases from 9 provinces, frequency matched by province of residence, age, and sex were included. Distances from the individuals' residences to the 106 industries located in the study areas were computed. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95%CIs) for categories of distance (from 1 km to 3 km) to industries, adjusting for matching variables and potential confounders. RESULTS Overall, no excess risk of gastric cancer was observed in people living close to the industrial installations, with ORs ranging from 0.73 (at ≤2.5 km) to 0.93 (at ≤1.5 km). However, by industrial sector, excess risks (OR; 95%CI) were found near organic chemical industry (3.51; 1.42-8.69 at ≤2 km), inorganic chemical industry (3.33; 1.12-9.85 at ≤2 km), food/beverage sector (2.48; 1.12-5.50 at ≤2 km), and surface treatment using organic solvents (3.59; 1.40-9.22 at ≤3 km). By specific pollutant, a statistically significant excess risk (OR; 95%CI) was found near (≤3 km) industries releasing nonylphenol (6.43; 2.30-17.97) and antimony (4.82; 1.94-12.01). CONCLUSIONS The results suggest no association between risk of gastric cancer and living in the proximity to the industrial facilities as a whole. However, a few associations were detected near some industrial sectors and installations releasing specific pollutants.
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Affiliation(s)
- Javier García-Pérez
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Virginia Lope
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Nerea Fernández de Larrea-Baz
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Antonio J Molina
- The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, Campus Universitario de Vegazana, 24071, León, Spain; Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, Campus Universitario de Vegazana, 24071, León, Spain.
| | - Adonina Tardón
- Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, Facultad de Medicina, Campus de El Cristo B, 33006, Oviedo, Spain; Instituto de Investigación Sanitaria Del Principado de Asturias (ISPA), Av. Roma S/n, 33011, Oviedo, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Juan Alguacil
- Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente, Universidad de Huelva, Campus Universitario de El Carmen, 21071, Huelva, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Beatriz Pérez-Gómez
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Víctor Moreno
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Hospital Duran I Reynals, Avinguda de La Gran Via de L'Hospitalet 199-203, 08908, L'Hospitalet de Llobregat, Barcelona, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Avinguda de La Gran Via de L'Hospitalet 199, 08908, L'Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Carrer de Casanova 143, 08036, Barcelona, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Marcela Guevara
- Navarra Public Health Institute, Calle Leyre, 15, 31003, Pamplona, Navarra, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain; Navarra Institute for Health Research (IdiSNA), Calle Leyre 15, 31003, Pamplona, Spain.
| | - Gemma Castaño-Vinyals
- ISGlobal, Carrer del Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Campus Del Mar, Carrer Del Dr. Aiguader 80, 08003, Barcelona, Spain; IMIM (Hospital Del Mar Medical Research Institute), Carrer Del Dr. Aiguader 80, 08003, Barcelona, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - José J Jiménez-Moleón
- Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Av. de La Investigación 11, 18016, Granada, Spain; Instituto de Investigación Biosanitaria Ibs.GRANADA, Doctor Azpitarte 4 4(a) Planta, Edificio Licinio de La Fuente, 18012, Granada, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Inés Gómez-Acebo
- Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria S/n, 39011, Santander, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Ana Molina-Barceló
- Cancer and Public Health Area, FISABIO - Public Health, Avda. de Catalunya 21, 46020, Valencia, Spain.
| | - Vicente Martín
- The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, Campus Universitario de Vegazana, 24071, León, Spain; Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, Campus Universitario de Vegazana, 24071, León, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Manolis Kogevinas
- ISGlobal, Carrer del Dr. Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Campus Del Mar, Carrer Del Dr. Aiguader 80, 08003, Barcelona, Spain; IMIM (Hospital Del Mar Medical Research Institute), Carrer Del Dr. Aiguader 80, 08003, Barcelona, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Marina Pollán
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
| | - Nuria Aragonés
- Epidemiology Section, Public Health Division, Department of Health of Madrid, C/San Martín de Porres, 6, 28035, Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Spain.
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Ruan Y, Poirier AE, Pader J, Asakawa K, Lu C, Memon S, Miller AB, Walter SD, Villeneuve PJ, King WD, Volesky KD, Smith L, De P, Friedenreich CM, Brenner DR. Estimating the future cancer management costs attributable to modifiable risk factors in Canada. Canadian Journal of Public Health 2021; 112:1083-1092. [PMID: 34036521 DOI: 10.17269/s41997-021-00502-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 02/23/2021] [Indexed: 12/21/2022]
Abstract
OBJECTIVES An estimated 33-37% of incident cancers in Canada are attributable to modifiable risk factors. Interventions targeting these risk factors would minimize the substantial health and economic burdens Canadians face due to cancer. We estimate the future health and economic burden of cancer in Canada by incorporating data from the Canadian Population Attributable Risk of Cancer (ComPARe) study into OncoSim, a web-based microsimulation tool. METHODS Using the integrated OncoSim population attributable risk and population impact measures, we evaluated risk factor-targeted intervention scenarios implemented in 2020, assuming the targeted risk factor prevalence reduction would be achieved by 2032 with a 12-year latency period. RESULTS We estimate that smoking will be the largest contributor to cancer-related costs, with a cost of CAD $44.4 billion between 2032 and 2044. An estimated CAD $3.3 billion of the cost could be avoided with a 30% reduction in smoking prevalence by 2022. Following smoking, the next highest cancer management costs are associated with inadequate physical activity and excess body weight, accounting for CAD $10.7 billion ($2.7 billion avoidable) and CAD $9.8 billion ($3.2 billion avoidable), respectively. Avoidable costs for other risk factors range from CAD $90 million to CAD $2.5 billion. CONCLUSION Interventions targeting modifiable cancer risk factors could prevent a substantial number of incident cancer cases and billions of dollars in cancer management costs. With limited budgets and rising costs in cancer care in Canada, these simulation models and results are valuable for researchers and policymakers to inform decisions and prioritize and evaluate intervention programs.
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Affiliation(s)
- Yibing Ruan
- Department of Cancer Epidemiology and Prevention Research, CancerControl Alberta, Alberta Health Services, Calgary, Alberta, T2S 3C3, Canada
| | - Abbey E Poirier
- Department of Cancer Epidemiology and Prevention Research, CancerControl Alberta, Alberta Health Services, Calgary, Alberta, T2S 3C3, Canada
| | - Joy Pader
- Department of Cancer Epidemiology and Prevention Research, CancerControl Alberta, Alberta Health Services, Calgary, Alberta, T2S 3C3, Canada
| | | | - Chaohui Lu
- Statistics Canada, Ottawa, Ontario, Canada
| | - Saima Memon
- Canadian Partnership Against Cancer, Toronto, Ontario, Canada
| | - Anthony B Miller
- Canadian Partnership Against Cancer, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Stephen D Walter
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Paul J Villeneuve
- Department of Health Sciences, Carleton University, Ottawa, Ontario, Canada
| | - Will D King
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Karena D Volesky
- Gerald Bronfman Department of Oncology, Division of Cancer Epidemiology and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Leah Smith
- Canadian Cancer Society, Toronto, Ontario, Canada
| | | | - Christine M Friedenreich
- Department of Cancer Epidemiology and Prevention Research, CancerControl Alberta, Alberta Health Services, Calgary, Alberta, T2S 3C3, Canada.,Departments of Oncology and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Darren R Brenner
- Department of Cancer Epidemiology and Prevention Research, CancerControl Alberta, Alberta Health Services, Calgary, Alberta, T2S 3C3, Canada. .,Departments of Oncology and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
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Pader J, Ruan Y, Poirier AE, Asakawa K, Lu C, Memon S, Miller A, Walter S, Villeneuve PJ, King WD, Volesky KD, Smith L, De P, Friedenreich CM, Brenner DR. Estimates of future cancer mortality attributable to modifiable risk factors in Canada. Canadian Journal of Public Health 2021; 112:1069-1082. [PMID: 34036522 DOI: 10.17269/s41997-020-00455-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 11/06/2020] [Indexed: 12/31/2022]
Abstract
OBJECTIVES Modifiable lifestyle, environmental, and infectious risk factors associated with cancer impact both cancer incidence and mortality at the population level. Most studies estimating this burden focus on cancer incidence. However, because these risk factors are associated with cancers of disparate mortality rates, the burden associated with cancer incidence could differ from cancer mortality. Therefore, estimating the cancer mortality attributable to these risk factors provides additional insight into cancer prevention. Here, we estimated future cancer deaths and the number of avoidable deaths in Canada due to modifiable risk factors. METHODS The projected cancer mortality data came from OncoSim, a web-based microsimulation tool. These data were applied to the methodological framework that we previously used to estimate the population attributable risks and the potential impact fractions of modifiable risk factors on Canadian cancer incidence. RESULTS We estimated that most cancer deaths will be attributed to tobacco smoking with an average of 27,900 deaths annually from 2024 to 2047. If Canada's current trends in excess body weight continue, cancer deaths attributable to excess body weight would double from 2786 deaths in 2024 to 5604 deaths in 2047, becoming the second leading modifiable cause of cancer death. Applying targets to reduce these risk factors, up to 34,600 cancer deaths could be prevented from 2024 to 2047. CONCLUSION Our simulated results complement our previous findings on the cancer incidence burden since decreasing the overall burden of cancer will be accelerated through a combination of decreasing cancer incidence and improving survival outcomes through improved treatments.
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Affiliation(s)
- Joy Pader
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada
| | - Yibing Ruan
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada
| | - Abbey E Poirier
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada
| | - Keiko Asakawa
- Statistics Canada, Government of Canada, Ottawa, Ontario, Canada
| | - Chaohui Lu
- Statistics Canada, Government of Canada, Ottawa, Ontario, Canada
| | - Saima Memon
- Canadian Partnership Against Cancer, Toronto, Ontario, Canada
| | - Anthony Miller
- Canadian Partnership Against Cancer, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Stephen Walter
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Paul J Villeneuve
- School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
| | - Will D King
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
| | - Karena D Volesky
- Gerald Bronfman Department of Oncology, Division of Cancer Epidemiology and Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Québec, Canada
| | - Leah Smith
- Canadian Cancer Society, Toronto, Ontario, Canada
| | | | - Christine M Friedenreich
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada.,Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Darren R Brenner
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Holy Cross Centre, Room 513C, Box ACB, 2210-2nd St. SW, Calgary, AB, T2S 3C3, Canada. .,Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. .,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
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Laaksonen MA, Canfell K, MacInnis RJ, Banks E, Byles JE, Giles GG, Magliano DJ, Shaw JE, Hirani V, Gill TK, Mitchell P, Cumming RG, Salagame U, Vajdic CM. The Future Burden of Head and Neck Cancers Attributable to Modifiable Behaviors in Australia: A Pooled Cohort Study. Cancer Epidemiol Biomarkers Prev 2021; 30:1566-1574. [PMID: 34020998 DOI: 10.1158/1055-9965.epi-21-0003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/22/2021] [Accepted: 05/17/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Estimates of future burden of cancer attributable to current modifiable causal exposures can guide cancer prevention. We quantified future head and neck cancer burden in Australia attributable to individual and joint causal exposures, and assessed whether these burdens differ between population subgroups. METHODS We estimated the strength of the associations between exposures and head and neck cancer using adjusted proportional hazards models from pooled data from seven Australian cohorts (N = 367,058) linked to national cancer and death registries and estimated exposure prevalence from the 2017 to 2018 Australian National Health Survey. We calculated population attributable fractions (PAF) with 95% confidence intervals (CI), accounting for competing risk of death, and compared PAFs for population subgroups. RESULTS Contemporary levels of current and former smoking contribute 30.6% (95% CI, 22.7%-37.8%), alcohol consumption exceeding two standard drinks per day 12.9% (95% CI, 7.6%-17.9%), and these exposures jointly 38.5% (95% CI, 31.1%-45.0%) to the future head and neck cancer burden. Alcohol-attributable burden is triple and smoking-attributable burden is double for men compared with women. Smoking-attributable burden is also at least double for those consuming more than two alcoholic drinks daily or doing less than 150 minutes of moderate or 75 minutes of vigorous activity weekly, and for those aged under 65 years, unmarried, with low or intermediate educational attainment or lower socioeconomic status, compared with their counterparts. CONCLUSIONS Two-fifths of head and neck cancers in Australia are preventable by investment in tobacco and alcohol control. IMPACT Targeting men and other identified high-burden subgroups can help to reduce head and neck cancer burden disparities.
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Affiliation(s)
- Maarit A Laaksonen
- School of Mathematics and Statistics, University of New South Wales, Sydney, Australia.
| | - Karen Canfell
- Daffodil Centre, The University of Sydney, a joint venture with Cancer Council New South Wales, Sydney, Australia
| | - Robert J MacInnis
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
| | - Emily Banks
- ANU College of Medicine, Biology and Environment, Australian National University, Canberra, Australia
| | - Julie E Byles
- Research Centre for Generational Health and Ageing, University of Newcastle, Newcastle, Australia
| | - Graham G Giles
- Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Dianna J Magliano
- Diabetes and Population Health Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Jonathan E Shaw
- Clinical Diabetes Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Vasant Hirani
- School of Life and Environmental Sciences, Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Tiffany K Gill
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Paul Mitchell
- Centre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, Australia
| | - Robert G Cumming
- School of Public Health, University of Sydney, Sydney, Australia.,ANZAC Research Institute, University of Sydney and Concord Hospital, Sydney, Australia
| | | | - Claire M Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia
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47
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Minian N, Lingam M, deRuiter WK, Dragonetti R, Selby P. Co-designing Behavior Change Resources With Treatment-Seeking Smokers: Engagement Events' Findings. Front Public Health 2021; 9:555449. [PMID: 33791263 PMCID: PMC8005552 DOI: 10.3389/fpubh.2021.555449] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 02/17/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Primary care organizations are well-suited to help patients change their unhealthy behaviors. Evidence shows that risk communication and self-monitoring of behavior are is an effective strategy practitioners can use to promote health behavior change with their patients. In order for this evidence to be actionable, it is important to understand how patients would like this information to be communicated and to operationalize the self-monitoring resources. The objective of this study was to co-create resources that encourage behavior change based on the scientific evidence and from patients with lived experiences. Materials and Methods: Twenty-seven individuals who participated in a smoking cessation program and engaged in at least one other unhealthy behavior joined one of two engagement events. Each event was 3 h in duration and consisted of two exercises that provided support to participants in reaching a consensus about the types of messages they would like to receive from their practitioner as well as self-monitoring resources they would prefer to use. The first exercise followed an adapted version of the Consensus Methodology developed by the Institute of Cultural Affairs Canada, while the second exercise was in accordance to the Nominal Group Technique. Results: Participants' preference was to have practitioners convey messages to promote health behavior change that include positive affirmation and to monitor all their health behaviors using a single self-reported tracking sheet. Conclusions: This paper features the use of engagement events to reflect upon and identify potential resources that treatment seeking smokers prefer to receive while attempting to modify unhealthy behaviors. These resources can be used by health care providers in primary care settings to support health promotion interventions and assist their patients to increase their likelihood of adopting positive changes to risk behaviors.
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Affiliation(s)
- Nadia Minian
- Nicotine Dependence Service, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.,Campbell Family Mental Health Research Institute, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Mathangee Lingam
- Nicotine Dependence Service, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Wayne K deRuiter
- Nicotine Dependence Service, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Rosa Dragonetti
- Nicotine Dependence Service, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Peter Selby
- Nicotine Dependence Service, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada.,Campbell Family Mental Health Research Institute, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
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48
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Anderson AS, Renehan AG, Saxton JM, Bell J, Cade J, Cross AJ, King A, Riboli E, Sniehotta F, Treweek S, Martin RM. Cancer prevention through weight control-where are we in 2020? Br J Cancer 2021; 124:1049-1056. [PMID: 33235315 PMCID: PMC7960959 DOI: 10.1038/s41416-020-01154-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 10/07/2020] [Accepted: 10/22/2020] [Indexed: 02/07/2023] Open
Abstract
Growing data from epidemiological studies highlight the association between excess body fat and cancer incidence, but good indicative evidence demonstrates that intentional weight loss, as well as increasing physical activity, offers much promise as a cost-effective approach for reducing the cancer burden. However, clear gaps remain in our understanding of how changes in body fat or levels of physical activity are mechanistically linked to cancer, and the magnitude of their impact on cancer risk. It is important to investigate the causal link between programmes that successfully achieve short-term modest weight loss followed by weight-loss maintenance and cancer incidence. The longer-term impact of weight loss and duration of overweight and obesity on risk reduction also need to be fully considered in trial design. These gaps in knowledge need to be urgently addressed to expedite the development and implementation of future cancer-control strategies. Comprehensive approaches to trial design, Mendelian randomisation studies and data-linkage opportunities offer real possibilities to tackle current research gaps. In this paper, we set out the case for why non-pharmacological weight-management trials are urgently needed to support cancer-risk reduction and help control the growing global burden of cancer.
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Affiliation(s)
- Annie S Anderson
- Centre for Research into Cancer Prevention and Screening, Division of Population Health & Genomics. Level 7, Mailbox 7, University of Dundee, Ninewells Hospital and Medical School, Dundee, DD1 9SY, UK.
| | - Andrew G Renehan
- The Christie NHS Foundation Trust, Manchester Cancer Research Centre, NIHR Manchester Biomedical Research Centre, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health University of Manchester, Wilmslow Rd, Manchester, M20 4BX, UK
| | - John M Saxton
- Department of Sport, Exercise & Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Room 259, Northumberland Building, Newcastle Upon Tyne, NE1 8ST, UK
| | - Joshua Bell
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
| | - Janet Cade
- Nutritional Epidemiology Group, School of Food Science and Nutrition, G11, Stead House, University of Leeds, Leeds, LS2 9JT, UK
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Angela King
- NIHR Cancer and Nutrition Collaboration, Level E and Pathology Block (mailpoint 123), Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, W2 1PG, UK
| | - Falko Sniehotta
- Policy Research Unit Behavioural Science, Faculty of Medical Sciences, Newcastle University, Baddiley-Clark Building, Richardson Road, Newcastle upon Tyne, NE2 4AX, UK
| | - Shaun Treweek
- Health Services Research Unit, University of Aberdeen, Room 306, 3rd Floor, Health Sciences Building, Foresterhill, Aberdeen, AB25 2ZD, UK
| | - Richard M Martin
- MRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Bristol, BS8 2BN, UK
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49
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Chu H, Xin J, Yuan Q, Wu Y, Du M, Zheng R, Liu H, Wu S, Zhang Z, Wang M. A prospective study of the associations among fine particulate matter, genetic variants, and the risk of colorectal cancer. ENVIRONMENT INTERNATIONAL 2021; 147:106309. [PMID: 33338681 DOI: 10.1016/j.envint.2020.106309] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/17/2020] [Accepted: 11/26/2020] [Indexed: 05/25/2023]
Abstract
BACKGROUND Fine particulate matter (PM2.5) is suspected to increase the risk of colorectal cancer, but the mechanism remains unknown. We aimed to investigate the association between PM2.5 exposure, genetic variants and colorectal cancer risk in the Prostate, Lung, Colon and Ovarian (PLCO) Cancer Screening trial. METHODS We included a prospective cohort of 139,534 cancer-free individuals from 10 United States research centers with over ten years of follow-up. We used a Cox regression model to assess the association between PM2.5 exposure and colorectal cancer incidence by calculating the hazard ratio (HR) and 95% confidence interval (CI) with adjustment for potential confounders. The polygenic risk score (PRS) and genome-wide interaction analysis (GWIA) were used to evaluate the multiplicative interaction between PM2.5 exposure and genetic variants in regard to colorectal cancer risk. RESULTS After a median of 10.43 years of follow-up, 1,666 participants had been diagnosed with colorectal cancer. PM2.5 exposure was significantly associated with an increased risk of colorectal cancer (HR = 1.27; 95% CI = 1.17-1.37 per 5 μg/m3 increase). Five independent susceptibility loci reached statistical significance at P < 1.22 × 10-8 in the interaction analysis. Furthermore, a joint interaction was observed between PM2.5 exposure and the PRS based on these five loci with colorectal cancer risk (P = 3.11 × 10-29). The Gene Ontology analysis showed that the vascular endothelial growth factor (VEGF) receptor signaling pathway was involved in the biological process of colorectal cancer. CONCLUSIONS Our large-scale analysis has shown for the first time that long-term PM2.5 exposure potential increases colorectal cancer risk, which might be modified by genetic variants.
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Affiliation(s)
- Haiyan Chu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Junyi Xin
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qi Yuan
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China
| | - Yanling Wu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Mulong Du
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Rui Zheng
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Hanting Liu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
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50
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Kachuri L, Graff RE, Smith-Byrne K, Meyers TJ, Rashkin SR, Ziv E, Witte JS, Johansson M. Pan-cancer analysis demonstrates that integrating polygenic risk scores with modifiable risk factors improves risk prediction. Nat Commun 2020; 11:6084. [PMID: 33247094 PMCID: PMC7695829 DOI: 10.1038/s41467-020-19600-4] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Accepted: 10/05/2020] [Indexed: 12/28/2022] Open
Abstract
Cancer risk is determined by a complex interplay of environmental and heritable factors. Polygenic risk scores (PRS) provide a personalized genetic susceptibility profile that may be leveraged for disease prediction. Using data from the UK Biobank (413,753 individuals; 22,755 incident cancer cases), we quantify the added predictive value of integrating cancer-specific PRS with family history and modifiable risk factors for 16 cancers. We show that incorporating PRS measurably improves prediction accuracy for most cancers, but the magnitude of this improvement varies substantially. We also demonstrate that stratifying on levels of PRS identifies significantly divergent 5-year risk trajectories after accounting for family history and modifiable risk factors. At the population level, the top 20% of the PRS distribution accounts for 4.0% to 30.3% of incident cancer cases, exceeding the impact of many lifestyle-related factors. In summary, this study illustrates the potential for improving cancer risk assessment by integrating genetic risk scores.
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Affiliation(s)
- Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Karl Smith-Byrne
- Genetic Epidemiology Group, Section of Genetics, International Agency for Research on Cancer, Lyon, France
| | - Travis J Meyers
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Sara R Rashkin
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Elad Ziv
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA.
| | - Mattias Johansson
- Genetic Epidemiology Group, Section of Genetics, International Agency for Research on Cancer, Lyon, France.
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