Prevalence of Diseases and Statistical Power of the Japan Nurses' Health Study

• Published in: Industrial Health Vol. 45; no. 5; pp. 687 - 694
• Main Authors: FUJITA, Toshiharu, HAYASHI, Kunihiko, KATANODA, Kota, MATSUMURA, Yasuhiro, LEE, Jung Su, TAKAGI, Hirofumi, SUZUKI, Shosuke, MIZUNUMA, Hideki, ASO, Takeshi
• Format: Journal Article
• Language: English
• Published: Japan National Institute of Occupational Safety and Health 01.10.2007
• Subjects: Adult; Attitude to Health; Cohort Study; Female; Health Behavior; Health Status; Health Surveys; Humans; Incidence; Incidence rate; Japan - epidemiology; Life Style; Middle Aged; Nurses; Nursing; Nursing Staff; Occupational Diseases - epidemiology; Occupational Health; Prevalence; Prospective Studies; Research Design; Risk Factors; Sample Size; Statistical power; Statistics as Topic; Time Factors; Women's Health; Japan
• ISSN: 0019-8366; 1880-8026
• DOI: 10.2486/indhealth.45.687

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 ≥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 ≥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.