Cited by 694Insurance, Mortality, Demography, Risk ManagementAging, Health, and DisabilityChronic Disease Management Strategies

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index; 4 of the 53 sources its claims cite were checked for support.

Mortality and Morbidity Trends: Is There Compression of Morbidity?

Open access
Crimmins, E. M., Beltran-Sanchez, H.·2011·The Journals of Gerontology Series B: Psychological Sciences and Social Sciences

Abstract

OBJECTIVE: This paper reviews trends in mortality and morbidity to evaluate whether there has been a compression of morbidity. METHODS: Review of recent research and analysis of recent data for the United States relating mortality change to the length of life without 1 of 4 major diseases or loss of mobility functioning. RESULTS: Mortality declines have slowed down in the United States in recent years, especially for women. The prevalence of disease has increased. Age-specific prevalence of a number of risk factors representing physiological status has stayed relatively constant; where risks decline, increased usage of effective drugs is responsible. Mobility functioning has deteriorated. Length of life with disease and mobility functioning loss has increased between 1998 and 2008. DISCUSSION: Empirical findings do not support recent compression of morbidity when morbidity is defined as major disease and mobility functioning loss.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This review and empirical analysis finds that recent U.S. mortality declines have slowed, disease prevalence has increased, and mobility functioning has deteriorated, so life with disease and functioning loss has expanded. The authors conclude that empirical findings do not support compression of morbidity when morbidity is defined as major disease and mobility functioning loss.

Key findings

  • Mortality declines slowed in the United States, especially for women; U.S. life expectancy in 2006 was 78 years at birth and 18 years at age 65, compared with Japan’s 83 and 21 years.
  • Disease prevalence increased: older men and women showed increased cancer prevalence, diabetes increased across much of the adult age range, and CVD conditions increased among older males.
  • Mobility functioning loss increased across ages; for example, among those aged 80+, mobility disability rose from 27.68% to 41.74% for men and from 42.84% to 51.26% for women between 1998 and 2006.
  • Life expectancy with disease and with mobility functioning loss increased between 1998 and 2006: at age 20, years with at least one disease rose from 10.0 to 12.3 for men and 11.1 to 13.0 for women; years unable to function rose from 3.8 to 5.8 for men and 7.3 to 9.8 for women.

Methods

  • The paper reviews recent research on mortality and morbidity trends and analyzes recent U.S. data linking mortality change to length of life without one of four major diseases or loss of mobility functioning.
  • Empirical analysis uses National Health Interview Survey data for the noninstitutionalized U.S. population aged 20 and older in 1998 and 2006, with self-reported coronary heart disease, myocardial infarction, stroke, cancer, and diabetes, plus an indicator of mobility functioning loss based on inability to perform at least one of four tasks.
  • Official U.S. life tables for 1998 and 2006 are combined with prevalence data using the Sullivan approach to healthy life expectancy.

Limitations

  • The authors state that empirical results could overstate recent increases in disease because it is impossible to hold constant greater awareness of health problems and improved diagnosis and screening.
  • The authors note they did not consider depression and mental illness, which cause much disability and functioning loss, and they examined high-level functioning rather than severe disability.
  • The text makes evident that the empirical analysis relies on cross-sectional prevalence and life-table methods, so it cannot directly distinguish incidence from longer survival with disease; the abstract refers to 1998–2008 while the empirical tables use 1998 and 2006.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1093/geronb/gbq088

Cites

108 of 108 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

25 Own interpretation · 19 Not checked yet · 16 Own result · 8 No full text of the sources · 6 Sources not found · 6 No basis given · 3 Own method · 1 Supported · 1 Supported so far · 1 Partly supported · 1 Not supported · accuracy not yet measured

Verify all 13 references — free account

Show all 47 claims

  • It may state two separate claims as one. 34
  • Probably not a substantial claim. 9
40 of 40
  • The authors state this as an assumption.

    Increasing prevalence and incidence of diabetes is related to the growing problem of obesity.

    “Increasing prevalence and incidence of diabetes is assumed to be related to the growing problem of obesity, and it is projected to continue to increase (Honeycutt et al., 2003).”
  • The paper relies on this without support.

    Self-reports of diagnosed disease in the National Health Interview Survey validly measure trends in disease prevalence.

    “Self-reports of whether a person has been diagnosed with coronary heart disease, myocardial infarction, stroke, cancer, and diabetes are contained in the National Health Interview Survey.”
  • The authors state this as an assumption.

    Each generation will be healthier and longer lived than the prior one.

    “We have always assumed that each generation will be healthier and longer lived than the prior one.”
3 of 3

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

2 of 2

Citations

Cites

Show all 107 references

Research works printed but not linked: 14

  1. Brown, 1996, Stroke, 27, 373
  2. 2007, Demography, 4, 479
  3. 1996, The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 51, S223
  4. 1997, JOURNAL OF GERONTOLOGY SERIES B SOCIAL SCIENCES, 52, 59S
  5. 2000, 18, 1584
  6. GOLDMAN, 1984, Annals of Internal Medicine, 101, 825, 10.1059/0003-4819-101-6-825 · DOI
  7. 2002, Wisconsin medical journal, 101, 46
  8. 2007, JOURNALS OF GERONTOLOGY SERIES A BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 62A, 408
  9. 2008, NATIONAL VITAL STATISTICS REPORTS FROM THE CENTERS FOR DISEASE CONTROL AND PREVENTION NATIONAL CENTER FOR HEALTH STATISTICS NATIONAL VITAL STATISTICS SYSTEM, 56, 1
  10. 1993, JOURNAL OF GERONTOLOGY SERIES B PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES, 48, 153S
  11. 2009, The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 64, 369
  12. 2005, AGEING HORIZONS, 3, 14
  13. 2001, The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 56B, S206
  14. 1996, The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 51, S226

Cited by

Sorted by citations

Items 401–500 of 694

Metadata

Authors
Crimmins, E. M., & Beltran-Sanchez, H.
Affiliations
University of Southern California (US)
Venue
The Journals of Gerontology Series B: Psychological Sciences and Social Sciences
Published
2010-12-06
Volume
66B
Issue
1
Pages
75-86
ISSN
  • 1079-5014 (ISSN-L)
  • 1758-5368
OpenAlex
W2125858619
Cited by
694
References
107
Citations by year
2026: 28 · 2025: 43 · 2024: 39 · 2023: 35 · 2022: 55 · 2021: 51 · 2020: 42 · 2019: 63 · 2018: 53 · 2017: 50 · 2016: 62 · 2015: 54 · 2014: 37 · 2013: 31 · 2012: 24
FWCI
5.45
Type
journal article
Language
en
Open access
Locations
  • The Journals of Gerontology Series B (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • Agence Nationale pour le Développement de la Recherche Universitaire
  • National Institute on Aging (P30AG017265, T32AG000037)
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007242)
Topics
  • Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
  • Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
Keywords
compression of morbidity, mortality trends, morbidity trends, disease prevalence, mortality decline, female mortality, physiological risk factors, drug use, aging
MeSH terms
Cardiovascular Diseases, Female, Persons with Disabilities, Humans, Life Expectancy, Male, Morbidity, Mortality, Neoplasms, United States, Incidence, Prevalence, Survival Rate, Sex Distribution

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