Evidence map›Paper›PMID 39031835›Full record

ArticleGeriatrics & gerontology international2024

Risk factors predicting subtypes of physical frailty incidence stratified by musculoskeletal diseases in community-dwelling older adults: The SONIC study.

Yuka Ohata, Kayo Godai, Mai Kabayama, Michiko Kido, Yuya Akagi, Winston Tseng, Marlon Maus, Hiroshi Akasaka, Yoichi Takami, Koichi Yamamoto and 10 more

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

20 authors.

Yuka OhataDivision of Health Science, Graduate School of Medicine, Osaka University, Osaka, Japan.ORCID https://orcid.org/0009-0004-7973-3772
Kayo GodaiDivision of Health Science, Graduate School of Medicine, Osaka University, Osaka, Japan.
Mai KabayamaDivision of Health Science, Graduate School of Medicine, Osaka University, Osaka, Japan.ORCID https://orcid.org/0000-0003-1394-1152
Michiko KidoDivision of Health Science, Graduate School of Medicine, Osaka University, Osaka, Japan.
Yuya AkagiDivision of Health Science, Graduate School of Medicine, Osaka University, Osaka, Japan.
Winston TsengDepartment of Ethnic Studies, University of California, Berkeley, California, USA.
Marlon MausArt of the School of Public Health, University of California, Berkeley, California, USA.
Hiroshi AkasakaDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Yoichi TakamiDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Koichi YamamotoDepartment of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Yasuyuki GondoDepartment of Clinical Thanatology and Geriatric Behavioral Science, Graduate School of Human Sciences, Osaka University, Osaka, Japan.
Saori YasumotoDepartment of Clinical Thanatology and Geriatric Behavioral Science, Graduate School of Human Sciences, Osaka University, Osaka, Japan.
Madoka OgawaDepartment of Clinical Thanatology and Geriatric Behavioral Science, Graduate School of Human Sciences, Osaka University, Osaka, Japan.
Ayaka KasugaCollege of Comprehensive Psychology, Ritsumeikan University, Osaka, Japan.
Kiyoaki MatsumotoDepartment of Clinical Thanatology and Geriatric Behavioral Science, Graduate School of Human Sciences, Osaka University, Osaka, Japan.
Yukie MasuiResearch Team for Human Care, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Kazunori IkebeDepartment of Prosthodontics, Gerodontology and Oral Rehabilitation, Graduate School of Dentistry, Osaka University, Osaka, Japan.ORCID https://orcid.org/0000-0001-5696-6785
Yasumichi AraiCenter for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan.
Tatsuro IshizakiResearch Team for Human Care, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1277-7293
Kei KamideDivision of Health Science, Graduate School of Medicine, Osaka University, Osaka, Japan.ORCID https://orcid.org/0000-0003-1720-2218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to identify the key risk factors that lead to subtypes of physical frailty assessed by walking speed and grip strength among community-dwelling Japanese individuals, stratified by the presence of musculoskeletal diseases (MSDs) and age group.

methodsWe included 302 participants aged 70 or 80 years who did not exhibit subtypes of physical frailty at baseline through the Septuagenarians, Octogenarians, Nonagenarians, Investigation with Centenarians (SONIC) study. Our study was a longitudinal study. The outcome was the incidence of subtypes of physical frailty after 3 years. Subtypes of physical frailty were defined as a weak grip strength or slow walking speed, or both, based on the Japanese version of the Cardiovascular Health Study Index. The risk factors for subtypes of physical frailty incidence were examined by age group and MSD, using multivariate logistic regressions.

resultsOf the 302 participants, 110 (36.4%) had MSD. Those with MSD were significantly more likely to have subtypes of physical frailty after 3 years compared with those without MSD. Among all participants, older age was a risk factor of subtypes of physical frailty (P < 0.05). Without MSD, older age and dissatisfied financial status were risk factors (P < 0.05). With MSD, older age was a risk factor (P < 0.05). By age group, in individuals aged 70 years old, a dissatisfied financial status was a risk factor for those without MSD (P < 0.05), and a higher BMI was one for those with MSD (P < 0.05).

conclusionsOlder age was a risk factor for subtypes of physical frailty, but other risk factors differed according to the presence of MSD and age. Geriatr Gerontol Int 2024; 24: 797-805.

Indexed as

Frail ElderlyFrailtyGeriatric AssessmentIndependent LivingMusculoskeletal DiseasesAgedAged, 80 and overAge FactorsFemaleHand StrengthHumansIncidenceJapanLongitudinal StudiesMaleRisk Factorscommunity‐dwelling older adultslongitudinal studymusculoskeletal diseasesphysical frailty

Identifiers

PMID39031835
PMCPMC11503630

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LicenceCC BY-NC-ND
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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.