Evidence map›Paper›PMID 34341697›Full record

ArticleAging and disease2021

Exercise in Aging: Be Balanced.

Joanna Gronek, Michał Boraczyński, Piotr Gronek, Dariusz Wieliński, Jacek Tarnas, Sławomir Marszałek, Yi-Yuan Tang

Abstract read
In one paragraph

Article in Aging and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
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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

7 authors.

Joanna Gronek1Department of Dance, Poznań University of Physical Education, Poland.
Michał Boraczyński2Faculty of Health Sciences, Collegium Medicum, University of Warmia and Mazury, Poland.
Piotr Gronek1Department of Dance, Poznań University of Physical Education, Poland.
Dariusz Wieliński3Department of Anthropology and Biometry, Poznań University of Physical Education, Poland.
Jacek Tarnas4Department of Physical Education and Lifelong Sports, Poznań University of Physical Education, Poland.
Sławomir Marszałek5Department of Physiotherapy, Poznań University of Physical Education, Poland.
Yi-Yuan Tang7Department of Psychological Sciences, Texas Tech University, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The beneficial effects of exercise are recognized for preventing physical and cognitive decline during the aging process. However, there is still a gap concerning recommended intensity, volume, frequency and mode of exercise especially for older people. The aim of this study was to investigate an appropriate type of physical activity (PA) model for healthy aging. A commentary of the influence of PA and exercise on healthy aging through an online search of the databases Web of Science, PubMed and Google Scholar. Two living groups can be considered as potential references: modern hunter-gatherer small-scale population and master athletes. Greater physical activity is proposed for healthy aging than that recommended by WHO. Additionally, mindfulness meditation techniques during exercise are recommended especially for persons practicing long-duration exercises. Complex and compound exercise and workouts should include challenging exercises adjusted and balanced to provide clients, especially older people, with noticeable changes and progress.

Indexed as

healthy agingmindfulness and exerciseolder peoplephysical activityphysical activity pattern

Identifiers

PMID34341697
PMCPMC8279522

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.