Evidence map›Paper›PMID 25009739›Full record

ArticleMultidisciplinary respiratory medicine2014

The influence of active and passive smoking on the cardiorespiratory fitness of adults.

Andresa Thier de Borba, Renan Trevisan Jost, Ricardo Gass, Fúlvio Borges Nedel, Dannuey Machado Cardoso, Hildegard Hedwig Pohl, Miriam Beatris Reckziegel, Valeriano Antonio Corbellini, Dulciane Nunes Paiva

Open access · goldAbstract read
In one paragraph

Article in Multidisciplinary respiratory medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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  6. Young users of electronic cigarettes exhibit reduced cardiorespiratory fitness.Journal of applied physiology (Bethesda, Md. : 1985) · 2024
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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

9 authors at 2 institutions in 1 country.

Andresa Thier de BorbaIn Health Promotion, University of Santa Cruz do Sul (UNISC), Rio Grande do Sul, Brazil.
Renan Trevisan JostPhysiotherapy, University of Santa Cruz do Sul (UNISC), Rio Grande do Sul, Brazil.
Ricardo GassUniversity of Santa Cruz do Sul (UNISC), Rio Grande do Sul, Brazil.
Fúlvio Borges NedelDsc in Epidemiology, Federal University of Santa Catarina (UFSC), Santa Catarina, Brazil.
Dannuey Machado CardosoPhysiotherapy, MSc in Medical Science. Assistant Professor, University of Santa Cruz do Sul (UNISC), Rio Grande do Sul, Brazil.
Hildegard Hedwig PohlProfessional Physical Education. DSc in Regional Development. Titular Professor, University of Santa Cruz do Sul (UNISC), Rio Grande do Sul, Brazil.
Miriam Beatris ReckziegelProfessional Physical Education. MSc in Science of Human Movement, University of Santa Cruz do Sul (UNISC), Rio Grande do Sul, Brazil.
Valeriano Antonio CorbelliniDSc in Chemistry, University of Santa Cruz do Sul (UNISC), Rio Grande do Sul, Brazil.
Dulciane Nunes PaivaPhysiotherapy, DSc Medical Science, University of Santa Cruz do Sul (UNISC), Rio Grande do Sul, Brazil.
Universidade de Santa Cruz do Sul · BRUniversidade Federal de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to analyze the influence of active and passive smoking on cardiorespiratory responses in asymptomatic adults during a sub-maximal-exertion incremental test.

methodsThe participants (n = 43) were divided into three different groups: active smokers (n = 14; aged 36.5 ± 8 years), passive smokers (n = 14; aged 34.6 ± 11.9 years) and non-smokers (n = 15; aged 30 ± 8.1 years). They all answered the Test for Nicotine Dependence and underwent anthropometric evaluation, spirometry and ergospirometry according to the Bruce Treadmill Protocol.

resultsVO2max differed statistically between active and non-smokers groups (p < 0.001) and between non-smokers and passive group (p=0.022). However, there was no difference between the passive and active smokers groups (p=0.053). Negative and significant correlations occurred between VO2max and age (r = - 0.401, p = 0.044), percentage of body fat (r = - 0.429, p = 0.011), and waist circumference (WC) (r = - 0.382, p = 0.025).

conclusionVO2max was significantly higher in non-smokers compared to active smokers and passive smokers. However, the VO2max of passive smokers did not differ from active smokers.

Indexed as

Cardiovascular diseasesExercise testOxygen consumptionSmoking

Identifiers

PMID25009739
PMCPMC4088222
OpenAlexW2166422510

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.