Evidence map›Paper›PMID 26844103›Full record

ArticlePreventive medicine reports2015

Association between self-reported and objectively measured physical fitness level in a middle-aged population in primary care.

Kirstine H Obling, Anne-Louise S Hansen, Kristian Overgaard, Kasper Normann, Annelli Sandbaek, Helle T Maindal

Abstract read
In one paragraph

Article in Preventive medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Effects of Indoor Plants on Human Functions: A Systematic Review with Meta-Analyses.International journal of environmental research and public health · 2022
    Pooled it
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  19. Self-Reported vs Measured Physical Fitness in Older Women.Clinical interventions in aging · 2020
    Article
  20. Observational
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

6 authors.

Kirstine H OblingAarhus University, Department of Public Health, Section for Health Promotion and Health Services, Aarhus, Denmark.
Anne-Louise S HansenAarhus University, Department of Public Health, Section for General Practice, Aarhus, Denmark.
Kristian OvergaardAarhus University, Department of Public Health, Section for Sport Science, Aarhus, Denmark.
Kasper NormannAarhus University, Department of Public Health, Section for General Practice, Aarhus, Denmark.
Annelli SandbaekAarhus University, Department of Public Health, Section for General Practice, Aarhus, Denmark.
Helle T MaindalAarhus University, Department of Public Health, Section for Health Promotion and Health Services, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the association between self-reported physical fitness level obtained by a single-item question and objectively measured fitness level in 30- to 49-year-old men and women.

methodsFrom the Danish 'Check Your Health Preventive Program' 2013-2014 fitness level was assessed in 2316 participants using the Aastrand test. Additionally, participants rated their physical fitness as high, good, average, fair or low. The association of self-reported- with objectively measured fitness level was analyzed by linear regression. Categories of self-reported- and objectively measured fitness level were cross-tabulated and agreement was quantified by Kappa statistics. Gender differences within categories were investigated by Poisson regression.

resultsData from 996 men and 1017 women were analyzed (excluded, n = 303). In both men and women a higher self-reported fitness level was associated with a higher objectively measured fitness level (Rall = 0.42). Kappa agreement was 0.25. Poisson regression revealed that women rated their fitness level significantly lower than men (p < 0.001).

conclusionA single-item question is a cost-effective way of measuring physical fitness level, but the method has low association and fair agreement when compared to the Aastrand test. Men tend to overestimate physical fitness more than women, which should be accounted for if using the question in primary care settings.

Indexed as

General populationMaximum oxygen uptakePhysical fitnessSelf-reportSingle-item-question

Identifiers

PMID26844103
PMCPMC4721415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.