Evidence map›Paper›PMID 39501031›Full record

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

Short-term Frailty Index Fluctuations in Older Adults: Noise or Signal?

Erwin Stolz, Anna Schultz, Emiel O Hoogendijk, Olga Theou, Kenneth Rockwood

Abstract 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 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.

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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

5 authors.

Erwin StolzInstitute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria.ORCID 0000-0001-7393-1568
Anna SchultzInstitute of Social Medicine and Epidemiology, Medical University of Graz, Graz, Austria.ORCID 0009-0009-1950-8545
Emiel O HoogendijkDepartment of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC-Location VU University Medical Center, Amsterdam, the Netherlands.ORCID 0000-0001-9660-5108
Olga TheouSchool of Physiotherapy, Geriatric Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.ORCID 0000-0001-6460-782X
Kenneth RockwoodGeriatric Medicine, Department of Medicine, Dalhousie University & Nova Scotia Health, Halifax, Nova Scotia, Canada.ORCID 0000-0002-6674-995X

Funding

Austrian Science Fund P33673Dalhousie University P33673Kathryn Allen Weldon Professor of Alzheimer Research P33673
6 · The paper itself

Abstract

backgroundReversible short-term fluctuations in the frailty index (FI) are often thought of as representing only noise or error. Here, we assess (i) the size and source of short-term FI fluctuations, (ii) variation across sociodemographic characteristics, (iii) association with chronic diseases, (iv) correlation with age, frailty level, frailty change, and mortality, and (v) whether fluctuations reflect discrete health transitions.

methodsNationwide, biweekly longitudinal data from 426 community-dwelling older adults (70+) were collected in the FRequent health Assessment In Later life (FRAIL70+) study using a measurement burst design (5 122 repeated observations, median of 13 repeated observations per person). We calculated the intraindividual standard deviation of the FI and used location-scale mixed regression models.

resultsMean intraindividual standard deviation was 0.04 (standard deviation = .03). Fluctuations were driven foremost by cognitive problems, somatic symptoms, and limitations in instrumental and mobility-related activities of daily living. Short-term fluctuations correlated with higher FI levels (r = 0.62), 1-year FI change (r = 0.26), and older age (+3% per year). Older adults who took to bed due to a health problem (+50%), those who had an overnight hospital stay (+50%), and those who died during follow-up (+44%) exhibited more FI fluctuations.

conclusionsShort-term FI fluctuations were neither small nor random. Instead, as older adults become frailer, their measured health also becomes more unstable; hence, short-term fluctuations in overall health status can be seen as a concomitant phenomenon of the aging process. Researchers and clinicians should be aware of the existence of reversible fluctuations in the FI over weeks and months and its consequences for frailty monitoring.

Indexed as

Activities of Daily LivingFrail ElderlyFrailtyGeriatric AssessmentAgedAged, 80 and overFemaleHumansIndependent LivingLongitudinal StudiesMaleEpidemiologyFrailtyIntraindividual variabilityPhysical function

Identifiers

PMID39501031
PMCPMC11632230

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Registered trials

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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.