Health Expectations for Older Women
eBook - ePub

Health Expectations for Older Women

International Perspectives

  1. 212 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Health Expectations for Older Women

International Perspectives

Book details
Book preview
Table of contents
Citations

About This Book

Explore international trends in health and longevity--with a special focus on older women!This essential book examines the latest research on life expectancy and "active life expectancy"--the number of years that women can expect to live free from major disability--in developed and developing countries around the world. It also explores the policy implications of the contributors' findings. Here you'll find a global study using data from the World Health Organization, a European study using data from OECD countries, and studies of women in the United Kingdom, Fiji, The Netherlands, Japan, Canada, and the United States.With contributions from demographers, economists, epidemiologists, gerontologists, medical statisticians, policy analysts, physicians, public health directors, and sociologists, International Perspectives on Health Expectancies for Older Women compares mortality and morbidity trends in various populations. In addition to reviewing the current literature on active life expectancy, this informative book looks at:

  • the distribution of total, unimpaired, and impaired life for several groups of older women defined by race, education, and marital history
  • gender differences in health profiles in The Netherlands
  • gender differences in life with and without six major diseases, including both morbid and mortal conditions in the United States
  • how mortality and morbidity patterns differ for Canadian women and men 45 years of age and older, focusing on risk factors and chronic conditions such as low income, low education, abnormal body mass index, lack of physical activity, smoking, cancer, diabetes, and arthritis
  • patterns of healthy life expectancy for older women around the globe
  • a comparison of the development and progression of physical disability in Japanese men and women
  • and more!

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Health Expectations for Older Women by Sarah B. Laditka in PDF and/or ePUB format, as well as other popular books in Medicina & Teoria, pratica e riferimenti medici. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2014
ISBN
9781317956006

Patterns of Active Life Among Older Women: Differences Within and Between Groups

Douglas A. Wolf, PhD
Sarah B. Laditka, PhD
James N. Laditka, DA, MPA
SUMMARY. This study examines the distribution of total, unimpaired, and impaired life for several groups of older women defined by race, education, and marital history. Using data from the 1984-1990 Longitudinal Study of Aging, we model transitions among functional statuses using discrete-time Markov chains, and use microsimulation to produce summary indices of active life. Remaining years of life and the proportion of remaining years with disability vary substantially, both within each group of women studied and between pairs of groups. Of all groups studied, never-married, more-educated white women live the longest, healthiest lives. Ever-married nonwhite women with low education have the shortest life expectancy, and experience the most disability. Our findings show that life expectancy is an incomplete indicator of the time women, in particular sub-groups, can expect to live with and without impairment. These findings highlight the heterogeneity of disability processes and life expectancy for older women. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: <[email protected]> Website: <htt­p:/­/ww­w.H­awo­rth­Pre­ss.­com> © 2002 by The Haworth Press, Inc. All rights reserved.]
KEYWORDS. Active life expectancy, disability, functional status, Markovchain, microsimulation

INTRODUCTION

As the number of older Americans grows, both public and private institutions face the possibility of increasing demands for health services, accompanied by rising public and private health care costs. Population aging might similarly add to the hidden costs borne by those who provide the most help to older persons, namely family and friends. Public policies often address these informal service providers, as well. For example, many states have instituted caregiver support programs (Feinberg & Pilisuk, 1999), and consequent to the recent reauthorization of the Older Americans Act, the federal government has launched a National Family Caregiver Program (U.S. Department of Health and Human Services, 2001). Planning for the challenges of an aging population can be informed with improved information about patterns of active life. A better understanding of active life patterns among older women is especially important, since women comprise a large majority of our older population. Given their longer lives and more years of disability, women also use more health care than men.
The percentage of United States’ households with single adults has increased greatly (Ahlburg & DeVita, 1992; Smeeding, 1999). Blacks have been particularly affected by declining marriage rates and the increase in households headed by women (Taylor, Chatters, Tucker, & Lewis, 1990). Blacks also constitute a growing percentage of the U.S. population (U.S. Bureau of the Census, 1999). In light of these demographic trends, it is important to understand patterns of active life for groups of older women defined by race and marital status.
Research on active life has focused almost exclusively on the average number of years an individual can expect to live without, or with, disability, that is on “active” or “inactive” life expectancy. Such measures are useful for actuarial calculations. They can be used, for example, to determine the insurance value of long-term care services. But averages have their limitations. At any given age, the likely number of additional years lived with and without disability varies considerably across individuals. This variation occurs within groups defined by characteristics associated with disability processes and longevity; some individuals in the group will experience below-average, and others above-average episodes of disability, and many will never experience disability at all. Between-group differences in averages, and in departures from those averages, occur as well. Thus, when considering broader issues of equity and efficiency in the financing and provision of services, or when targeting programmatic resources, it is useful to recognize the full distribution of active, impaired, and total life, and not only the averages of each. To our knowledge, no past research has explicitly traced the frequency distribution that is implicit in calculations of active life expectancy. Similarly, few previous studies have compared averages of such distributions across groups of older women.
Our study examines variations in three measures commonly reported in the active life expectancy literature: total life, active (unimpaired, or disability free) life, and inactive (impaired, or disabled) life. We examine this variability from two perspectives. First, we show how these measures can vary within a given group of older women, where group membership is defined by race, education, and marital status. Second, we investigate differences in total, active, and inactive life expectancy between such groups. Our analysis focuses on older women, using data from the 1984 to 1990 Longitudinal Study of Aging (LSOA) and microsimulation techniques.

FACTORS ASSOCIATED WITH DISABILITY
AND ACTIVE LIFE EXPECTANCY

Past research has shown that disability prevalence and incidence, and active life expectancy, differ substantially across groups of the older population. Studies have consistently shown that older women with more education live longer and healthier lives than those with less education (Crimmins, Hayward, & Saito, 1996; Crimmins & Saito, 2001; Freedman & Martin, 1999; Land, Guralnik, & Blazer, 1994). Researchers have suggested that education may influence individuals’ ability to understand and reduce risk factors, and to adopt healthier lifestyles. There is also evidence of notable mortality and morbidity differences between blacks and whites, although findings in this research area are inconsistent. A growing number of researchers have found that white women have both total and active life expectancies greater than those of black women (Crimmins et al., 1996; Crimmins & Saito, 2001; Geronimus, Bound, Waidmann, Colen, & Steffick, 2001; Hayward & Heron, 1999). Researchers point to socioeconomic, cultural, and genetic factors, as well as other advantages and disadvantages across the life span, as likely causes of racial disparities in mortality and morbidity (e.g., Hayward, Crimmins, Miles, & Yang, 2000).
Many studies have examined associations between marital status and mortality. Studies have variously investigated differentials by marital status, marital history, and marital events. For example, Lillard and Waite (1995) modeled mortality risks over a 20-year period for a sample of adults of all ages, finding elevated mortality rates among never-married and separated women (compared to currently-married women), and little difference between the mortality rates of widowed and currently-married women. Lillard and Waite (1995) also found that the benefits of being married grow as the duration of marriage grows. Others have investigated the consequences of experiencing spousal death, or bereavement. Schaefer, Quesenberry, and Wi (1995) found that women’s mortality rates were significantly higher 7-12 months after the death of their spouse, but not before or thereafter. Their study did not, however, include comparisons to a never-married group. Korenman, Goldman and Fu (1997), using data from the LSOA, found a significant adverse mortality effect among women widowed more than one year, but not during the first year o...

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Introduction: Health Expectations for Older Women: International Perspectives
  8. Patterns of Active Life Among Older Women: Differences Within and Between Groups
  9. Health Profiles and Profile-Specific Health Expectancies of Older Women and Men: The Netherlands
  10. Life With and Without Disease: Women Experience More of Both
  11. Gender Differences in Disability-Free Life Expectancy for Selected Risk Factors and Chronic Conditions in Canada
  12. Gender Differences in Life Expectancy Free of Impairment at Older Ages
  13. Global Patterns of Healthy Life Expectancy for Older Women
  14. European Perspectives on Healthy Aging in Women
  15. Health Expectancies in Japan: Gender Differences and Policy Implications for Women
  16. Disability Among Older Women and Men in Fiji: Concerns for the Future
  17. Recent Perspectives on Active Life Expectancy for Older Women
  18. About the Contributors
  19. Index