Evidence map›Paper›PMID 28832747›Full record

ArticleArquivos brasileiros de cardiologia2017

Pre-Participation Physical Fitness does not Influence Adherence to a Supervised Exercise Program.

Fábio Akio Nishijuka, Christina Grüne de Souza E Silva, Carlos Vieira Duarte, Claudio Gil Soares de Araújo

Abstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Guideline
  2. Exploring the Enjoyment of the Intergenerational Physical Activity.Journal of functional morphology and kinesiology · 2021
    Article
  3. Brazilian Cardiovascular Rehabilitation Guideline - 2020.Arquivos brasileiros de cardiologia · 2020
    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

4 authors.

Fábio Akio NishijukaPrograma de Pós-Graduação em Cardiologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Christina Grüne de Souza E SilvaPrograma de Pós-Graduação em Cardiologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Carlos Vieira DuarteClínica de Medicina do Exercício, Rio de Janeiro, RJ, Brazil.
Claudio Gil Soares de AraújoClínica de Medicina do Exercício, Rio de Janeiro, RJ, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExercise-based cardiac rehabilitation tends to reduce mortality. However, it requires medium/long-term adherence to regular physical exercise. It is relevant to identify the variables that affect adherence to an supervised exercise program (SEP).

objectiveTo evaluate the influence of pre-participation levels of aerobic and non-aerobic physical fitness components in medium-term adherence to SEP.

methodsA total of 567 SEP participants (65 ± 12 years) (68% men) were studied. Participants adherent to the program for less than 6 months (48%) (non-adherent - NAD) were compared with 52% of participants who were adherent for 6 months or more (adherents - AD). In the non-aerobic fitness, flexibility (FLX) (Flexitest) and muscle power (MPW)/body weight in standing rowing (watts/kg) were evaluated while aerobic fitness was obtained by direct measure of VO2max/body weight (VO2). These measurements were normatized for sex and age based on percentiles (P) (P-FLX/P-MPW) of reference data or percentages of predicted (P-VO2). Additionally, AD and NAD with extreme results (tertiles) were simultaneously compared for the three variables.

resultsThere was no difference between AD and NAD for non-aerobic results, in median [P25-P75], P-FLX: 30 [13-56] and 31 [9-52], respectively, (p = 0.69) and P-MPW: 34 [17-58] and 36 [16-62], respectively (p = 0.96), and for aerobic results (mean ± standard error) P-VO2 (75.9 ± 1.3% and 75.0 ± 1.3%, respectively) (p = 0.83). When comparing extreme tertiles, a difference was found for P-MPW in the lower tertile only, with a slight advantage of AD over NAD- 9 [5-16] versus 4 [1-11] (p = 0.04).

conclusionAlthough awareness of the pre-participation levels of aerobic and non-aerobic physical fitness components is useful for individualized exercise prescription, these variables do not seem to influence medium-term adherence to SEP.

Indexed as

AdultAgedAged, 80 and overCardiac RehabilitationExerciseExercise TherapyFemaleHumansMaleMiddle AgedMuscle StrengthOxygen ConsumptionPatient CompliancePhysical FitnessRange of Motion, ArticularReference Values

Identifiers

PMID28832747
PMCPMC5644214

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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.