Cited by 449Insurance, Mortality, Demography, Risk ManagementChronic Disease Management StrategiesGlobal Health Care Issues

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index; none of the 43 sources its claims cite is checked for support yet.

The Compression of Morbidity

Open access
FRIES, JAMES F.·2005·The Milbank Quarterly

Abstract

I n this century we are progressing through three separate eras with dramatically different characteristics of health and illness.We entered the century in an era of infectious disease, with tuberculosis the number one killer of our population, and smallpox, diphtheria, tetanus, and other infectious illnesses extremely prevalent.A reduction in mortality from these diseases of over 99 percent (Fries and Crapo 1981;Cooper 1982) has led to the present era, where the major burdens of illness of the United States are the chronic diseases.Atherosclerosis and its complications, neoplasia, emphysema, diabetes, cirrhosis, and osteoarthritis have increased in prevalence even as the infectious illnesses which preceded them declined.It is one thesis of this discussion that this chronic disease era in its turn will slowly decline in significance, leaving a third era in which the major health problems of the United States will be directly related to the process of senescence, and where the aging process itself, independent of specific disease, will constitute a major burden of illness for the United States.The ultimate constraint within which we must develop health policy for the future is, of course, the limit of life itself.Man is mortal, and the limits to what presently may be accomplished in decreasing mortality are set by the life span of our species.In the following discussion, we will This paper was first delivered as a keynote address to the Institute of Medicine, National Academy of Sciences, Washington, October 20, 1982.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Fries argues that chronic disease and senescence can be postponed, compressing morbidity into a shorter period before a finite human life span. He synthesizes mortality, physiologic, and epidemiologic evidence to claim that the period of infirmity can shrink even as life expectancy rises modestly.

Key findings

  • U.S. life expectancy from birth rose from 47 to 73 years over the century, but gains were much smaller at older ages: +13 years from age 20, +8 from age 40, +5 from age 60, +2.5 from age 80, and +0.7 from age 100.
  • The human life span appears to be approximately 85 years, with 99% of natural longevity between ages 70 and 100; maximum life potential was 113 years, 214 days, and Gompertz’s law implies mortality doubles about every eight years.
  • Organ reserve declines about 1.5% per year, and natural death may occur when reserve falls to roughly 20% above basal needs; chronic diseases are described as universal, early-onset, progressive, multifactorial, and marked by a symptom threshold.
  • Compression of morbidity is already suggested by data: average age at first heart attack for men increased about four years in sixteen, while life expectancy from age 40 increased only about two years over twenty; heart attack hospital discharges over age 65 rose from 47% to 52% of the total from 1968 to 1978.

Methods

  • Conceptual/keynote synthesis rather than a primary empirical study; the text states it was first delivered as a keynote address to the Institute of Medicine, National Academy of Sciences, in October 1982.
  • Uses national mortality and life-expectancy statistics, Gompertz’s law, physiologic studies of organ reserve decline, chronic disease epidemiology, athletic age-group records, and cited literature.
  • Main analysis builds an incremental model of chronic disease and aging, defines absolute and relative compression of morbidity, and interprets rectangularization of survival curves.

Limitations

  • The paper states that data on incidence of morbidity markers have not been systematically collected, there are no cross-sectional prevalence figures for “quality of life,” and it is not even clear what morbidity measures should be used.
  • The paper states that demographic projections may be faulty if they use a competing-risk model without a hazard function for natural death, and that natural deaths are hidden in categories such as bronchopneumonia, heart failure, and generalized atherosclerosis.
  • The paper notes that the Hayflick phenomenon of cellular senescence may be allegorical or a laboratory artifact and says its discussion is not based on it; evident from the text, the argument relies on selected evidence and illustrative examples rather than a systematic review or meta-analysis.

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

Integrity signals

Registry

Crossref · 10.1111/j.1468-0009.2005.00401.x

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

48 Own interpretation · 21 No basis given · 19 Sources not found · 11 No full text of the sources · 9 Not checked yet · 2 Own result

Show all 51 claims

  • It may state two separate claims as one. 42
  • Probably not a substantial claim. 27
59 of 59
  • The authors state this as an assumption.

    In the multiple risk factor, universal susceptibility model, modifying risk factors decreases the slope of chronic disease progression.

    “In this model, as risk factors are modified, the slope of the progression is decreased.”
  • The authors state this as an assumption.

    The age at first heart attack, the age at development of identifiable lung cancer, and the average age at admission to nursing homes are valid measures of morbidity.

    “If we accept as such measures the age at first heart attack or the age at development of identifiable lung cancer or the average age at admission to nursing homes, available data suggest that the onset age of these markers may be increasing more rapidly than is life expectancy from age 40 in the United States.”
  • The paper relies on this without support.

    The risk-factor model based heavily on cigarette smoking (pack/years) is valid for predicting lung cancer onset.

    “Lung cancer age-specific incidence rates appear to have similarly changed and the risk-factor model based heavily on cigarette smoking (pack/years) suggests that as smoking decreases the effect will first be postponement of onset; that is, the requisite number of pack/years will be reached later in life.”
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.

1 of 1

Citations

Cites

Show all 50 references

Research works printed but not linked: 4

  1. Baltes P.B., 1980, Determining the Effects of Aging on the Central Nervous System
  2. Bowerman W.G, 1939, Centenarians, Transactions of the Actuarial Society of America, 40, 360
  3. Dittman‐Kohli F., 1983, Beyond Formal Operations: Alternative Endpoints to Human Development
  4. Robins M., 1981, Incidence of Stroke, Stroke, 12, 145

Cited by

Sorted by citations

Items 301–400 of 449

Metadata

Authors
FRIES, J. F.
Affiliations
Stanford Medicine (US)
Corresponding author
FRIES, JAMES F.
Venue
The Milbank Quarterly
Publisher
Wiley
Published
2005-11-09
Volume
83
Issue
4
Pages
801-823
ISSN
  • 0887-378X (ISSN-L)
  • 1468-0009
OpenAlex
W2110353535
Cited by
449
References
50
Citations by year
2026: 6 · 2025: 19 · 2024: 13 · 2023: 12 · 2022: 11 · 2021: 23 · 2020: 13 · 2019: 22 · 2018: 22 · 2017: 15 · 2016: 16 · 2015: 19 · 2014: 15 · 2013: 19 · 2012: 18
FWCI
36.72
Type
journal article
Language
en
Open access
Locations
  • Milbank Quarterly (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
  • Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Global Health Care Issues
Keywords
compression of morbidity, chronic disease, infectious disease decline, aging, senescence, lifespan, mortality trends, health policy, atherosclerosis, cancer, diabetes mellitus, osteoarthritis, emphysema, liver cirrhosis
MeSH terms
Aging, Chronic Disease, Health Services for the Aged, Health Status, Humans, Life Expectancy, Morbidity, Primary Prevention, Public Health, Public Health Administration, United States, History, 20th Century

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

A language model drew the claims from the paper on 2026-11-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-11-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review