Evidence map›Paper›PMID 31367731›Full record

ArticleThe journal of nutrition, health & aging2019

Self-Reported Cognitive Frailty Predicts Adverse Health Outcomes for Community-Dwelling Older Adults Based on an Analysis of Sex and Age.

M Okura, M Ogita, H Arai

Abstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Association of Cognitive Frailty With Subsequent All-Cause Mortality Among Middle-Aged and Older Adults in 17 Countries.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2025
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  16. Article
  17. Cognitive Frailty: An Update.Frontiers in psychology · 2021
    Review
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  19. 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

3 authors.

M OkuraMika Okura, Kyoto University, Kyoto, Kyoto Japan, okura.mika.2e@kyoto-u.ac.jp.
M Ogita
H Arai

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study examined whether the combination of self-reported mobility decline (SR-MD) and cognitive decline (SR-CD) was associated with mortality and new long-term care insurance (LTCI) service certifications based on sex and age.

designA prospective cohort study. SETTING AND

participantsWe analyzed cohort data from a sample of older adult residents in Kami Town, Japan. The response rate was 94.3%, and we followed 5,094 older adults for 3 years. Full analyses were conducted on 5,076 participants. MEASURES: A total of four groups were determined through self-reported responses on the Kihon Checklist for SR-MD (a score of 3 or more on 5 items) and SR-CD (a score of 1 or more on 3 items): non-SR-cognitive frailty, non-SR-MD and SR-CD, SR-MD and non-SR-CD, and SR-cognitive frailty.

resultsMain outcomes included mortality (n = 262) or new certifications for LTCI services (n = 708) during the 3-year period. Excluding overlapping, this included 845 older adults (16.6%). Among men, prevalence of non-SR-cognitive frailty, non-SR-MD and SR-CD, SR-MD and non-SR-CD, and SR-cognitive frailty (SR-MD and SR-CD) was 48.2%, 26.4%, 11.5%, and 13.8%, respectively. Respective rates for women were 45.7%, 15.5%, 23.1%, and 15.7%. Multivariate analyses revealed that for men, SR-MD and non-SR-CD significantly affected adverse health outcomes, leading to earlier negative outcomes relative to the non-SR-MD and SR-CD group. For women, non-SR-MD and SR-CD and SR-MD and non-SR-CD had similar slopes.

conclusionsThe impact of SR-MD or SR-CD on adverse health outcomes differed as a function of age and sex. Thus, we need to consider preventive approaches according to these specific target group features.

Indexed as

Mobility LimitationAgedAged, 80 and overChecklistCognitionCohort StudiesFemaleFrail ElderlyFrailtyHumansIndependent LivingInsurance, Long-Term CareJapanMalePrevalenceProspective Studiescognitive impairmentFrailtylong-term care insurancemobility disordersmortalityolder adults

Identifiers

PMID31367731
PMCPMC12280378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.