Evidence map›Paper›PMID 38055660›Full record

ArticlePloS one2023

Accelerometer-measured physical activity and sedentary behavior in nonagenarians: Associations with self-reported physical activity, anthropometric, sociodemographic, health and cognitive characteristics.

Sari Aaltonen, Mia Urjansson, Anni Varjonen, Henri Vähä-Ypyä, Paula Iso-Markku, Sara Kaartinen, Tommi Vasankari, Urho M Kujala, Karri Silventoinen, Jaakko Kaprio and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. 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 at 4 institutions in 1 country.

Sari AaltonenInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-2873-4263
Mia UrjanssonInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
Anni VarjonenInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
Henri Vähä-YpyäUKK Institute for Health Promotion Research, Tampere, Finland.ORCID 0000-0001-7537-2501
Paula Iso-MarkkuInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
Sara KaartinenDepartment of Public Health, University of Helsinki, Helsinki, Finland.
Tommi VasankariUKK Institute for Health Promotion Research, Tampere, Finland.
Urho M KujalaFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.ORCID 0000-0002-9262-1992
Karri SilventoinenFaculty of Social Sciences, University of Helsinki, Helsinki, Finland.
Jaakko KaprioInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3716-2455
Eero VuoksimaaInstitute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland.
University of Helsinki · FITampere University · FIUniversity of Jyväskylä · FIUrho Kaleva Kekkonen Institute · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on device-based physical activity in the oldest-old adults is scarce. We examined accelerometer-measured physical activity and sedentary behavior in nonagenarians. We also investigated how the accelerometer characteristics associate with nonagenarians' self-reported physical activity, anthropometric, sociodemographic, health and cognitive characteristics.

methodsNonagenarians from a population-based cohort study (N = 38, mean age 91.2) used accelerometers during the waking hours for seven days. They also participated in a health survey and cognitive telephone interview. The Wald test and Pearson and polyserial correlations were used to analyze the data.

resultsThe participants' average day consisted of 2931 steps, 11 minutes of moderate-to-vigorous physical activity and 13.6 hours of sedentary time. Physical activity bouts less than 3 minutes per day and sedentary time bouts of 20-60 minutes per day were the most common. No sex differences were found. Many accelerometer-measured and self-reported physical activity characteristics correlated positively (correlations ≥0.34, p-values <0.05). The low levels of many accelerometer-measured physical activity characteristics associated with low education (correlations ≥0.25, p-values <0.05), dizziness (correlations ≤-0.42, p-values <0.01) and fear of falling (correlations ≤-0.45, p-values <0.01). Fear of falling was also associated with accelerometer-measured sedentary behavior characteristics (correlations -0.42 or ≥0.43).

conclusionsNonagenarians were mostly sedentary and low in physical activity, but individual variability existed. Accelerometer-measured and self-reported physical activity had a good consistency. Education, dizziness and fear of falling were consistently related to accelerometer-measured characteristics in nonagenarians.

Indexed as

NonagenariansSedentary BehaviorAccelerometryAccidental FallsAdultAged, 80 and overCognitionCohort StudiesDizzinessExerciseFearHumansSelf Report

Identifiers

PMID38055660
PMCPMC10699641
OpenAlexW4389398488

What OpenQuestion holds

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LicenceCC BY
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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.