Evidence map›Paper›PMID 36100911›Full record

ArticleBMC geriatrics2022

Physical performance reference values for Japanese oldest old: a SONIC study.

Kiyoaki Matsumoto, Yasuyuki Gondo, Yukie Masui, Saori Yasumoto, Yuko Yoshida, Kazunori Ikebe, Yasumichi Arai, Mai Kabayama, Kei Kamide, Hiroshi Akasaka and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

11 authors.

Kiyoaki MatsumotoGraduate School of Human Sciences, Osaka University, Osaka, Japan. u956573a@ecs.osaka-u.ac.jp.
Yasuyuki GondoGraduate School of Human Sciences, Osaka University, Osaka, Japan.ORCID 0000-0002-9805-2807
Yukie MasuiTokyo Metropolitan Institute of Gerontology, Tokyo, Japan.ORCID 0000-0001-6197-6697
Saori YasumotoGraduate School of Human Sciences, Osaka University, Osaka, Japan.ORCID 0000-0003-1087-7650
Yuko YoshidaTokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Kazunori IkebeDepartment of Prosthodontics, Gerodontology and Oral Rehabilitation, Osaka University Graduate School of Dentistry, Osaka, Japan.ORCID 0000-0001-5696-6785
Yasumichi AraiCenter for Supercentenarian Medical Research, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-1746-965X
Mai KabayamaDivision of Health Sciences, Osaka University, Graduate School of Medicine, Osaka, Japan.ORCID 0000-0003-1394-1152
Kei KamideDivision of Health Sciences, Osaka University, Graduate School of Medicine, Osaka, Japan.ORCID 0000-0003-1720-2218
Hiroshi AkasakaDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID 0000-0003-0238-8320
Tatsuro IshizakiTokyo Metropolitan Institute of Gerontology, Tokyo, Japan.ORCID 0000-0002-1277-7293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe oldest old, defined as those aged 90 or over, is now the fastest-growing population sector. This study aimed to determine reference values for several physical performance measures (PPMs) among 90-year-olds using internationally standardized measurements and to clarify the characteristics of these indices by comparing their results for 90-year-olds with those for older people 70 and 80.

methodsWe used the Septuagenarians, Octogenarians, and Nonagenarians Investigation with Centenarians (SONIC) study data from 2010 to 2018. The study subjects were 70, 80, and 90-year-olds in the target area eligible to participate in the venue. Excluding those certified for long-term care, the final number of eligible persons is 70s cohort 1000 (2010), 80s cohort 973 (2011), and 90s cohort 690. 90s cohort only consisted of three survey waves: 2012, 2015, and 2018. We used hand grip strength and score on the Short Physical Performance Battery (SPPB) for our physical performance measurements. In addition, we statistically analyzed sex and age differences.

resultThe simple mean ± standard deviation (SD) for the 90-year-old respondents were in men, 24.1 ± 5.4 kg in hand grip strength, 0.80 ± 0.22 m/s in usual gait speed, 17.2 ± 6.73 s in 5times chair stand, 5.89 ± 4.42 s in tandem balance, and 8.3 ± 2.2 in SPPB respectively and in women, 14.4 ± 4.0 kg in hand grip strength, 0.72 ± 0.20 m/s in usual gait speed, 17.8 ± 7.89 s in 5times chair stand, 4.72 ± 4.35 s in tandem balance, and 7.5 ± 2.4 in SPPB, respectively. For all PPMs, the age 90 cohort was statistically significantly different from the age 70 and 80 cohorts (all trends P <  0.001). Hand grip strength decreased with a similar gradient with age cohort increase of 10 years for both sexes. In contrast, SPPB lower limb score showed a larger drop between the age 80 and 90 cohorts than between the age 70 and 80 cohorts. We also constructed sex-specific appraisal standards according to quintiles.

conclusionsOur study yielded inclusive sex-specific reference values and appraisal standards for major physical performance measures not certified as requiring long-term care, community-dwelling, oldest old Japanese. The characteristics of age-related decline in physical performance differed between the upper and lower extremity assessments.

Indexed as

Hand StrengthPhysical Functional PerformanceAgedAged, 80 and overFemaleHumansJapanMaleReference ValuesWalking SpeedAgingJapanese older adultsOldest oldPhysical performanceReference valueSPPB

Identifiers

PMID36100911
PMCPMC9470232

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.