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Health status and utilization behavior associated with menopause.

J B McKinlay, S M McKinlay, D J Brambilla

    American Journal of Epidemiology
    |January 1, 1987
    PubMed
    Summary

    Menopause does not inherently cause poor health or increased healthcare use. Prior health status, not menopause itself, primarily influences outcomes, with surgical menopause having minimal impact.

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    Area of Science:

    • Reproductive Health
    • Epidemiology
    • Women's Health

    Background:

    • Menopause is linked to age-related diseases in women.
    • Current understanding of menopause is based on limited, self-selected, often ill populations.
    • A stereotype of the "typical" menopausal woman with diffuse symptoms and high healthcare utilization prevails.

    Purpose of the Study:

    • To investigate the epidemiological characteristics of menopause in a representative cohort.
    • To challenge the prevailing stereotype of menopausal women's health status and healthcare utilization.
    • To identify factors influencing health status and healthcare utilization around menopause.

    Main Methods:

    • Prospective data collection over 27 months.
    • Study of a representative cohort of approximately 2,500 women aged 45-55 years in Massachusetts.
    • Analysis of perceived health status and healthcare utilization behavior.

    Main Results:

    • Menopause itself does not cause poorer physical or psychological health status.
    • Menopause itself does not lead to increased healthcare utilization.
    • Surgical menopause is minimally associated with subsequent perceived health status and utilization.
    • Prior health status is the main predictor of health outcomes and healthcare utilization.

    Conclusions:

    • The stereotype of the "typical" menopausal woman is not supported by data from representative samples.
    • Menopause is a physiological event that does not inherently worsen health or increase healthcare needs.
    • Future research requires representative samples of healthy women and prospective data for causal inference.

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