Evidence map›Paper›PMID 28605457›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2018

Multimorbidity and Physical and Cognitive Function: Performance of a New Multimorbidity-Weighted Index.

Melissa Y Wei, Mohammed U Kabeto, Kenneth M Langa, Kenneth J Mukamal

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
–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

69 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. How to assess multimorbidity: a systematic review.Frontiers in public health · 2025
    Pooled it
  2. Pooled it
  3. Trial
  4. Observational
  5. Validating ICD code case definitions for condition case ascertainment in multimorbidity measurement: a retrospective chart review.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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  12. Dynamics of multimorbidity, health expectancy, and survival in middle aged and older individuals.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
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  17. Observational
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  20. Higher-Order Disease Interactions in Multimorbidity Measurement: Marginal Benefit Over Additive Disease Summation.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article

9 more citing papers are in PubMed but not listed here.

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

4 authors.

Melissa Y WeiDivision of General Medicine, University of Michigan.
Mohammed U KabetoDivision of General Medicine, University of Michigan.
Kenneth M LangaDivision of General Medicine, University of Michigan.
Kenneth J MukamalDivision of General Medicine and Primary Care, Beth Israel Deaconess Medical Center and Harvard Medical School, Brookline, Massachusetts.

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
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Andrzej T Galecki · 2004 to 2026
$29.2M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIEBERMAN, ANDREW P · 2016 to 2020
$10.1M
NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

Background: Multimorbidity is an important health outcome but is difficult to quantify. We recently developed a multimorbidity-weighted index (MWI) and herein assess its performance in an independent nationally-representative cohort. Methods: Health and Retirement Study (HRS) participants completed an interview on physician-diagnosed chronic conditions and physical functioning. We determined the relationship of chronic conditions on physical functioning and validated these weights with the original, independently-derived MWI. We then determined the association between MWI with physical functioning, grip strength, gait speed, basic and instrumental activities of daily living (ADL/IADL) limitations, and the modified Telephone Interview for Cognitive Status (TICS-m) in adjusted models. Results: Among 20,509 adults, associations between chronic conditions and physical functioning varied several-fold. MWI values based on weightings in the HRS and original cohorts correlated strongly (Pearson's r = .92) and had high classification agreement (κ statistic = .80, p < .0001). Participants in the highest versus lowest MWI quartiles had weaker grip strength (-2.91 kg, 95% confidence interval [CI]: -3.51, -2.30), slower gait speed (-0.29 m/s, 95% CI: -0.35, -0.23), more ADL (0.79, 95% CI: 0.71, 0.87) and IADL (0.49, 95% CI: 0.44, 0.55) limitations, and lower TICS-m (-0.59, 95% CI: -0.77, -0.41) (all p < .001). We observed monotonic graded relationships for all outcomes with increasing MWI quartiles. Conclusion: A multimorbidity index weighted to physical functioning performed nearly identically in a nationally-representative cohort as it did in its development cohorts, confirming broad generalizability. MWI was strongly associated with subjective and objective physical and cognitive performance. Thus, MWI serves as a valid patient-centered measure of multimorbidity, an important construct in research and clinical practice.

Indexed as

Activities of Daily LivingCognitionHealth Status IndicatorsMultimorbidityPhysical FitnessChronic DiseaseFemaleGaitHand StrengthHumansMaleMiddle AgedNeuropsychological TestsChronic diseaseComorbidityDisabilityMultiple chronic conditionsPhysical performance

Identifiers

PMID28605457
PMCPMC5861895

What OpenQuestion holds

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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 OpenQuestion graph.