Application of stroke prediction models to evaluation of worksite health status-Reference-Cited by-同舟云学术

Application of stroke prediction models to evaluation of worksite health status

Published:2024 Issue:1 Volume:6 Page:n/a
ISSN:2434-4931
Container-title:Environmental and Occupational Health Practice
language:en
Short-container-title:EOH-P

Author:

Nakashima Hiroshi¹^ORCID,Kabe Isamu²,Iwasawa Satoko¹^ORCID,Miyoshi Yuka¹^ORCID,Hashimoto Itsumi¹^ORCID,Yoshioka Noriyuki¹,Suzuki Satoko¹,Sakurai Yutaka³,Tsunoda Masashi¹^ORCID

Affiliation:

1. Department of Preventive Medicine and Public Health, National Defense Medical College

2. Health Care Office, Tsukuba Plant, Kubota Corporation

3. National Defense Medical College

Publisher

Japan Society for Occupational Health

Link

https://www.jstage.jst.go.jp/article/eohp/6/1/6_2024-0002-FS/_pdf

Reference15 articles.

1. 1. Wilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998; 97(18): 1837-1847.

2. 2. Batsis JA, Lopez-Jimenez F. Cardiovascular risk assessment—from individual risk prediction to estimation of global risk and change in risk in the population. BMC Med. 2010; 8(1): 29.

3. 3. Ito M, Hanada H, Amano Y, et al. Evaluation and application of coronary heart disease risk using a prediction model in a corporate setting. Matsushita Medical J. 1999; 38(2): 169-178. (in Japanese).

4. 4. Cui R, Iso H, Yamagishi K, et al; JPHC Study Group. Trends in the proportions of stroke subtypes and coronary heart disease in the Japanese men and women from 1995 to 2009. Atherosclerosis. 2016; 248: 219-223.

5. 5. Kivimäki M, Jokela M, Nyberg ST, et al. Long working hours and risk of coronary heart disease and stroke: A systematic review and meta-analysis of published and unpublished data for 603,838 individuals. Lancet. 2015; 386(10005): 1739–1746.