Evidence map›Paper›PMID 40729272›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Dynamics of multimorbidity, health expectancy, and survival in middle aged and older individuals.

Elisa Fabbri, Julián Candia, Toshiko Tanaka, Ann Zenobia Moore, Paolo Muratori, Agar Brugiavini, Amaia Calderón-Larrañaga, Davide L Vetrano, Laura Fratiglioni, Eileen Crimmins and 4 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Elisa FabbriDivision of Internal Medicine, Morgagni-Pierantoni Hospital, Forlì, Italy.ORCID 0000-0002-1017-7892
Julián CandiaLongitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States.ORCID 0000-0001-5793-8989
Toshiko TanakaLongitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States.ORCID 0000-0002-4161-3829
Ann Zenobia MooreLongitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States.
Paolo MuratoriDivision of Internal Medicine, Morgagni-Pierantoni Hospital, Forlì, Italy.
Agar BrugiaviniDepartment of Economics, University of Venice, Venice, Italy.
Amaia Calderón-LarrañagaAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.ORCID 0000-0001-9064-9222
Davide L VetranoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.ORCID 0000-0002-3099-4830
Laura FratiglioniAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Eileen CrimminsLeonard Davis School of Gerontology, University of Southern California, Los Angeles, California, United States.
Jessica FaulInstitute for Social Research, University of Michigan, Ann Arbor, Michigan, United States.ORCID 0000-0002-6969-6478
Kenneth M LangaInstitute for Social Research, University of Michigan, Ann Arbor, Michigan, United States.
David WeirInstitute for Social Research, University of Michigan, Ann Arbor, Michigan, United States.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States.ORCID 0000-0002-6273-1613

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE · 1999 to 2026
$17.9M
National Institute on Aging Intramural Research ProgramNIA NIH HHS P30 AG017265NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

backgroundLife expectancy has increased, but such increase has disproportionally expanded the period of life with diseases. Whether expanding health expectancy (HE), defined as years of life free of chronic diseases, could also affect rate of multimorbidity accumulation is uncertain. Objective: to investigate the dynamic relationship between HE and rate of multimorbidity accumulation and their impact on survival.

methodsFour thousand two hundred seventy-four (3511 > 50 years) participants from the Health and Retirement Study (HRS), healthy at baseline and developing at least one disease overtime were included. Mean baseline age was 55.1 years and average follow-up was 9.4 years. Multimorbidity was operationalized as count of diagnosed diseases from a list of nine chronic conditions. HE was operationalized as years from birth until when the first disease was ascertained, and percentage of life in good health calculated as percentage of life lived free of chronic diseases. Mixed models investigated the association between HE and rate of multimorbidity accumulation, while survival analyses evaluated association with time to death.

resultsHE were positively associated with multimorbidity rate (P < .001). Shorter HE and faster multimorbidity rate were independently associated with higher mortality (P < .001). Their interaction was negatively associated with mortality (P < .001). Results were confirmed restricting the analysis to individuals 51 or older and using HRS specific weights. Individuals with longer HE experienced a greater survival, almost regardless of multimorbidity rate, while a positive gradient was found in percentage of life in good health linked to multimorbidity rate.

conclusionsExpanding health expectancy is likely followed by compression of morbidity.

Indexed as

Life ExpectancyMultimorbidityAgedChronic DiseaseFemaleHumansMaleMiddle AgedUnited StatesAgingHealth expectancyMortalityMultimorbiditySurvival

Identifiers

PMID40729272
PMCPMC12401489

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.