IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v46y1998i10p1381-1396.html
   My bibliography  Save this article

An event history analysis of age at last menstrual period: correlates of natural and surgical menopause among midlife Wisconsin women

Author

Listed:
  • Shinberg, Diane S.

Abstract

Population aging coupled with heightened consumerism among those using the health care system have increased public and research interest in menopause. Despite these trends, we know little about the process of menstrual cessation. This paper reviews previous claims regarding secular trends in menopausal age by considering how menstrual cessations differ by type: (1) that due to surgical intervention such as hysterectomy, and (2) that due to "natural" (non-surgical) menopause. Analyses of menopause that exclude hysterectomized women are flawed, because such women constitute a high proportion of American women at midlife. Competing risk survival analysis techniques are applied to model the shape of the underlying hazards for reproductive organ surgery versus "natural" menopause among 3506 midlife women from the Wisconsin Longitudinal Study. Weibull models are used to evaluate effects of a variety of possible correlates (including education, mental ability, occupation, family background, fertility experience, smoking behavior and hormone therapy). While socioeconomic parameters do contribute to observed differences in age at menstrual cessation, these factors operate through more proximate health-related behaviors (such as smoking in the case of natural menopause and fertility for surgical menopause).

Suggested Citation

  • Shinberg, Diane S., 1998. "An event history analysis of age at last menstrual period: correlates of natural and surgical menopause among midlife Wisconsin women," Social Science & Medicine, Elsevier, vol. 46(10), pages 1381-1396, March.
  • Handle: RePEc:eee:socmed:v:46:y:1998:i:10:p:1381-1396
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(97)10085-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eric Reither & Robert Hauser & Karen Swallen, 2009. "Predicting adult health and mortality from adolescent facial characteristics in yearbook photographs," Demography, Springer;Population Association of America (PAA), vol. 46(1), pages 27-41, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:46:y:1998:i:10:p:1381-1396. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.