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Burden of cancer attributable to modifiable factors in Japan in 2015.
Inoue, Manami; Hirabayashi, Mayo; Abe, Sarah Krull; Katanoda, Kota; Sawada, Norie; Lin, Yingsong; Ishihara, Junko; Takachi, Ribeka; Nagata, Chisato; Saito, Eiko; Goto, Atsushi; Ueda, Kayo; Tanaka, Junko; Hori, Megumi; Matsuda, Tomohiro.
Afiliação
  • Inoue M; Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
  • Hirabayashi M; Division of Cohort Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
  • Abe SK; Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
  • Katanoda K; Division of Prevention, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
  • Sawada N; Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan.
  • Lin Y; Division of Cohort Research, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
  • Ishihara J; Department of Public Health, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan.
  • Takachi R; School of Life and Environmental Science, Department of Food and Life Science, Azabu University, Kanagawa, Japan.
  • Nagata C; Department of Food Science and Nutrition, Graduate School of Humanities and Sciences, Nara Women's University, Nara, Japan.
  • Saito E; Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan.
  • Goto A; Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan.
  • Ueda K; Yokohama City University, Department of Health Data Science, Graduate School of Data Science, Yokohama, Japan.
  • Tanaka J; Environmental Health Sciences, Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan.
  • Hori M; Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Matsuda T; Division of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan.
Glob Health Med ; 4(1): 26-36, 2022 Feb 28.
Article em En | MEDLINE | ID: mdl-35291201
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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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article