Evidence map›Paper›PMID 21991450›Full record

ArticleAdvances in preventive medicine2011

Resistance Training Is an Effective Tool against Metabolic and Frailty Syndromes.

Jan Sundell

Open access · hybridAbstract read
In one paragraph

Article in Advances in preventive medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
2.9field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
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  12. Physical activity in metabolic syndrome.Frontiers in physiology · 2024
    Review
  13. Article
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  18. Article
  19. Voluntary Aerobic Exercise Reverses Frailty in Old Mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2015
    Article
  20. 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

1 author at 1 institution in 1 country.

Jan SundellDepartment of Medicine, University of Turku, P.O. Box 52, 20521 Turku, Finland.
University of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome is a set of risk factors (abdominal obesity, insulin resistance, hypertension, and dyslipidemia) which increases markedly the risk of arteriosclerotic vascular disease. In subjects with frailty syndrome, aging-related loss of muscle (sarcopenia) and bone (osteoporosis) might progress to the extent that an older person loses his or her ability to live independently. Due to ongoing obesity pandemic and growing elderly population, metabolic and frailty syndromes are major emerging concerns in healthcare system. Recent studies show that resistance training has remarkable beneficial effects on the musculoskeletal system including prevention and treatment of these syndromes. Resistance training has favourable effect on metabolic syndrome since it decreases fat mass including abdominal fat. It also enhances insulin sensitivity, improves glucose tolerance, and reduces blood pressure values. The combination of sarcopenia and osteoporosis is often seen in the frailty syndrome. Resistance training is probably the most effective measure to prevent and treat sarcopenia. In addition, many studies show that resistance training can maintain or even increase bone mineral density. Optimal nutrition enhances the anabolic effect of resistance training. Resistance training should be a central component of public health promotion programs along with an aerobic exercise.

Identifiers

PMID21991450
PMCPMC3168930
OpenAlexW2094256852

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.