Literature DB >> 19071158

Projecting the probability of survival free from cancer and cardiovascular incidence through lifestyle modification in Japan.

Sachiko Tanaka1, Seiichiro Yamamoto, Manami Inoue, Motoki Iwasaki, Shizuka Sasazuki, Hiroyasu Iso, Shoichiro Tsugane.   

Abstract

OBJECTIVES: To promote prevention strategies aimed at reducing the incidence of cancer or cardiovascular disease (CVD), we present a method to project the probability that a subject with given lifestyle risk factors will survive free from either of cancer or CVD.
METHODS: Projection models were developed from data from a cohort study conducted in Japan. During 1990-2003, 96,592 subjects were followed and 5797 cancer and 2591 CVD cases and 2395 deaths were identified. Smoking, alcohol intake and body mass index (BMI) were used as common risk factors in projection models.
RESULTS: According to the projection of individualized probability, avoidance of smoking, excess alcohol intake and high BMI increased 10-year disease-free survival probability from 81.4% to 92.9% and from 88.0% to 94.3% in 50- to 54-year-old men and women, respectively. In terms of population average risk, smoking cessation and avoidance of excess alcohol exerted a large impact, while decreasing BMI had a small impact due to the small at-risk population.
CONCLUSIONS: Current smoking, excess alcohol intake and obesity were suggested as common risk factors for cancer and CVD. Considering the distribution of risk factors in the Japanese population, smoking prevention/cessation and reduction of excess alcohol intake would prevent a large number of incident cases.

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Year:  2008        PMID: 19071158     DOI: 10.1016/j.ypmed.2008.11.006

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  3 in total

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Journal:  Healthcare (Basel)       Date:  2022-05-24

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Authors:  Norie Sawada; Motoki Iwasaki; Taiki Yamaji; Atsushi Goto; Taichi Shimazu; Manami Inoue; Kozo Tanno; Kiyomi Sakata; Kazumasa Yamagishi; Hiroyasu Iso; Nobufumi Yasuda; Tadahiro Kato; Isao Saito; Maiko Hasegawa; Kiyoshi Aoyagi; Shoichiro Tsugane
Journal:  J Epidemiol       Date:  2019-02-02       Impact factor: 3.211

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Journal:  Sci Rep       Date:  2021-03-10       Impact factor: 4.379

  3 in total

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