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Prevalence of diseases and statistical power of the Japan Nurses' Health Study.

Prevalence of diseases and statistical power of the Japan Nurses' Health Study. Research Abstract Details 

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  • Prevalence of diseases and statistical power of the Japan Nurses' Health Study. Abstract Text:

    toshiharu fujitaToshiharu Fujita,kunihiko hayashiKunihiko Hayashi,kota katanodaKota Katanoda,yasuhiro matsumuraYasuhiro Matsumura,jung su leeJung Su Lee,hirofumi takagiHirofumi Takagi,shosuke suzukiShosuke Suzuki,hideki mizunumaHideki Mizunuma,takeshi asoTakeshi Aso,toshiharu fujitaToshiharu Fujita,kunihiko hayashiKunihiko Hayashi,kota katanodaKota Katanoda,yasuhiro matsumuraYasuhiro Matsumura,jung su leeJung Su Lee,hirofumi takagiHirofumi Takagi,shosuke suzukiShosuke Suzuki,hideki mizunumaHideki Mizunuma,takeshi asoTakeshi Aso,toshiharu fujitaToshiharu Fujita,kunihiko hayashiKunihiko Hayashi,kota katanodaKota Katanoda,yasuhiro matsumuraYasuhiro Matsumura,jung su leeJung Su Lee,hirofumi takagiHirofumi Takagi,shosuke suzukiShosuke Suzuki,hideki mizunumaHideki Mizunuma,takeshi asoTakeshi Aso,

    The Japan Nurses' Health Study (JNHS) is a long-term, large-scale cohort study investigating the effects of various lifestyle factors and healthcare habits on the health of Japanese women. Based on currently limited statistical data regarding the incidence of disease among Japanese women, our initial sample size was tentatively set at 50,000 during the design phase. The actual number of women who agreed to participate in follow-up surveys was approximately 18,000. Taking into account the actual sample size and new information on disease frequency obtained during the baseline component, we established the prevalence of past diagnoses of target diseases, predicted their incidence, and calculated the statistical power for JNHS follow-up surveys. For all diseases except ovarian cancer, the prevalence of a past diagnosis increased markedly with age, and incidence rates could be predicted based on the degree of increase in prevalence between two adjacent 5-yr age groups. The predicted incidence rate for uterine myoma, hypercholesterolemia, and hypertension was > or =3.0 (per 1,000 women, per year), while the rate of thyroid disease, hepatitis, gallstone disease, and benign breast tumor was predicted to be > or =1.0. For these diseases, the statistical power to detect risk factors with a relative risk of 1.5 or more within ten years, was 70% or higher.

    Prevalence of diseases and statistical power of the Japan Nurses' Health Study. Publishing Authors By Initials

    t fujitaT Fujita,k hayashiK Hayashi,k katanodaK Katanoda,y matsumuraY Matsumura,js leeJS Lee,h takagiH Takagi,s suzukiS Suzuki,h mizunumaH Mizunuma,t asoT Aso,t fujitaT Fujita,k hayashiK Hayashi,k katanodaK Katanoda,y matsumuraY Matsumura,js leeJS Lee,h takagiH Takagi,s suzukiS Suzuki,h mizunumaH Mizunuma,t asoT Aso,t fujitaT Fujita,k hayashiK Hayashi,k katanodaK Katanoda,y matsumuraY Matsumura,js leeJS Lee,h takagiH Takagi,s suzukiS Suzuki,h mizunumaH Mizunuma,t asoT Aso,

    For similar natural sciences: time: time factors research abstracts see: natural sciences: time: time factors research

    PUBMED ID PMID:

    MEDLINE DATE:

    Prevalence of diseases and statistical power of the Japan Nurses' Health Study. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Industrial health

    VOLUME: 45

    Page Numbers: 687-94

    Journal Abbreviation:

    ISSN: 0019-8366

    DAY: 25

    MONTH: Oct

    YEAR: 2007

    Prevalence of diseases and statistical power of the Japan Nurses' Health Study. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 2985065

    Prevalence of diseases and statistical power of the Japan Nurses' Health Study. Keywords Mesh Terms:

    KEYWORDS: Time Factors

    MESH TERMS: epidemiology

    Chemical & Substance for Abstract: Prevalence of diseases and statistical power of the Japan Nurses' Health Study. Information

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    Grant and Affiliation Information for Prevalence of diseases and statistical power of the Japan Nurses' Health Study.

    AFFILIATION: Department of Data Science, The Institute of Statistical Mathematics, Tokyo, Japan.

    Country: Japan

    Japan Research PublicationJapan Research Publication

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    MEDLINETA: Ind Health

    REFSOURCE:

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