Evidence map›Paper›PMID 38394173›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Longitudinal Quantiles of Frailty Trajectories Considering Death: New Insights into Sex and Cohort Differences in the Reference Curves for Frailty Progression of Older European.

Alejandra Marroig, Fernando Massa, Annie Robitaille, Scott M Hofer, Erwin Stolz, Graciela Muniz-Terrera

Open access · hybridAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

6 authors at 5 institutions in 5 countries.

Alejandra MarroigInstituto de Estadística, Universidad de la República, Montevideo, Uruguay.ORCID 0000-0003-0716-174X
Fernando MassaInstituto de Estadística, Universidad de la República, Montevideo, Uruguay.ORCID 0000-0002-2922-4097
Annie RobitailleUniversity of Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0002-1559-6834
Scott M HoferPacific Health Research and Education Institute, Honolulu, Hawaii.ORCID 0000-0001-8923-4337
Erwin StolzMedical University of Graz, Graz, Styria, Austria.ORCID 0000-0001-7393-1568
Graciela Muniz-TerreraOhio University Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, USA.ORCID 0000-0002-4516-0337
Universidad de la República de Uruguay · UYMedical University of Graz · ATOhio University · USUniversity of Ottawa · CAUniversity of Victoria · CA

Funding

Evaluation of Multivariate Causal Factors Linking the Flynn Effect to Declining Dementia Trends and Cognitive AgingR01AG067621 · NIA · PACIFIC HEALTH RESEARCH/ EDUCATION INST · PI HOFER, SCOTT M. · 2019 to 2023
$3.6M
Personality prediction of dementia risk and progressionR01AG067622 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MROCZEK, DANIEL K. · 2019 to 2023
$3.2M
NIA NIH HHS 1R01AG067621NIA NIH HHS R01 AG067621NIA NIH HHS R01 AG067622NIH HHS 1R01AG067621
6 · The paper itself

Abstract

backgroundMost previous studies of frailty trajectories in older adults focus on the average trajectory and ignore death. Longitudinal quantile analysis of frailty trajectories permits the definition of reference curves, and the application of mortal cohort inference provides more realistic estimates than models that ignore death.

methodsUsing data from individuals aged 65 or older (n = 25 446) from the Survey of Health, Ageing, and Retirement in Europe (SHARE) from 2004 to 2020, we derived repeated values of the Frailty Index (FI) based on the accumulation of health deficits. We applied weighted Generalized Estimating Equations to estimate the quantiles of the FI trajectory, adjusting for sample attrition due to death, sex, education, and cohort.

resultsThe FI quantiles increased with age and progressed faster for those with the highest level of frailty (β^a0.9 = 0.0229, p < .001; β^a0.5 = 0.0067, p < .001; H0: βa0.5=βa0.9, p < .001). Education was consistently associated with a slower progression of the FI in all quantiles (β^ae0.1 = -0.0001, p < .001; β^ae0.5 =-0.0004, p < .001; β^ae0.9 = -0.0003, p < .001) but sex differences varied across the quantiles. Women with the highest level of frailty showed a slower progression of the FI than men when considering death. Finally, no cohort effects were observed for the FI progression.

conclusionsQuantile FI trajectories varied by age, sex, education, and cohort. These differences could inform the practice of interventions aimed at older adults with the highest level of frailty.

Indexed as

FrailtyAgedAgingFemaleFrail ElderlyGeriatric AssessmentHumansLongitudinal StudiesMaleAgingFrailtyGeneralized estimating equationsMortal cohort

Identifiers

PMID38394173
PMCPMC10965030
OpenAlexW4392094402

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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.