| Project/Area Number |
22590618
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Public health/Health science
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| Research Institution | University of Occupational and Environmental Health, Japan |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
FUJINO Yoshihisa 産業医科大学, 医学部, 准教授 (80352326)
MURAMATSU Keiji 産業医科大学, 医学部, 助教 (00644022)
MATSUDA Shinya 産業医科大学, 医学部, 教授 (50181730)
HAYASHIDA Kenshi 産業医科大学病院, 部長 (80363050)
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| Research Collaborator |
OYAMA Ichiro 産業医科大学, 医学部, 非常勤助教
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| Project Period (FY) |
2010-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | 産業医学 / 時間生物学 / 交替制勤務 / 生活習慣病 / 前立腺がん / 体内時計 / 健康保険組合 / レセプト / 職域がん検診 / 肥満 / 糖尿病 |
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| Outline of Final Research Achievements |
We have conducted series of epidemiological studies to evaluate health risk among shift workers using certain company data. The data included periodic health checkups results and medical claim data of the health insurance society of the company. The studies accomplished 13 papers (of those, seven papers were with peer-review process) and 28 times conference presentation (of those, 11 were invited presentation). The studies succeed to obtain new evidence such as; the risk of hypertension was still observed among shift workers free form obesity; impact of shift schedules on health varies by outcome measures and there might be no “ultimate shift schedule” which secures all health outcomes. Also for prostate cancer risk, additional prospective follow up of the workers contribute to obtain result with higher statistical likelihood compared to retrospective dataset analysis.
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