Evidence map›Paper›PMID 30666568›Full record

ArticleBiogerontology2019

Can markers of biological age predict dependency in old age?

Juulia Jylhävä, Miao Jiang, Andrea D Foebel, Nancy L Pedersen, Sara Hägg

Abstract read
In one paragraph

Article in Biogerontology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Epigenetic Age Acceleration and Change in Frailty in MOBILIZE Boston.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Associations of annual ambient PMEnvironmental pollution (Barking, Essex : 1987) · 2020
    Article
  14. Article
  15. Article
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.

Juulia JylhäväThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17 156, Stockholm, Sweden. juulia.jylhava@ki.se.ORCID 0000-0003-0250-4491
Miao JiangThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17 156, Stockholm, Sweden.
Andrea D FoebelThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17 156, Stockholm, Sweden.
Nancy L PedersenThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17 156, Stockholm, Sweden.
Sara HäggThe Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 17 156, Stockholm, Sweden.

Funding

GENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGINGR01AG010175 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 1992 to 2006
$2.8M
Cholesterol metabolism pathway: Cognitive change and Alzheimer's disease riskR01AG028555 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI REYNOLDS, CHANDRA A · 2007 to 2010
$1.1M
NIA NIH HHS R01 AG010175NIA NIH HHS R01 AG028555
6 · The paper itself

Abstract

Recent research has shown that markers of biological age, such as leukocyte telomere length (LTL), epigenetic clocks and the frailty index (FI) are predictive of mortality and age-related diseases. However, whether these markers associate with the need for care in old age, thereby having utility in reflecting dependency, is unclear. This study was undertaken to analyze whether LTL, two epigenetic clocks-the DNA methylation age (DNAmAge) and DNAm PhenoAge-and the FI are associated with the need for regular care in up to 604 individuals (aged 48-94 years) participating in the Swedish Adoption/Twin Study of Aging. Need for regular care was defined as receiving formal or informal help in daily routines at least once per week. Logistic regression adjusted for age, sex and education was used in the analysis. The predictive accuracies, assessed as the area under the curve (AUC) for the significant biological age measures were further compared to the accuracies of the limitations in activities of daily living (ADL) and instrumental ADL (IADL). Neither LTL nor the epigenetic clocks were associated with the need for care, whereas the FI was; odds ratio for 10% increase in FI 3.54 (95% confidence interval 2.32-5.41). The FI also demonstrated higher predictive accuracy than the ADL score (FI AUC 0.80 vs. ADL score AUC 0.62; p < 0.001 for equality of the AUCs), whereas the difference between FI AUC (0.80) and IADL score AUC (0.75) was not significant (p = 0.238). The FI might thus be a useful marker for the need for care.

Indexed as

Activities of Daily LivingAgedAged, 80 and overBiomarkersFemaleFrail ElderlyGeriatric AssessmentHumansMaleMiddle AgedSwedenBiomarkersADLEpigenetic clockFrailty indexLeukocyte telomere lengthNeed for care

Identifiers

PMID30666568
PMCPMC6535415

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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.