Evidence map›Paper›PMID 32556029›Full record

ArticleJornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia

Smoking history: relationships with inflammatory markers, metabolic markers, body composition, muscle strength, and cardiopulmonary capacity in current smokers.

Tamara Dos Santos Gouveia, Iara Buriola Trevisan, Caroline Pereira Santos, Bruna Spolador de Alencar Silva, Ercy Mara Cipulo Ramos, Mahara Proença, Dionei Ramos

Open access · diamondAbstract read
In one paragraph

Article in Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Cigarette Smoking, and Blood Monocyte Count Correlate with Chronic Lung Injuries and Mortality.International journal of chronic obstructive pulmonary disease · 2023
    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

7 authors at 2 institutions in 1 country.

Tamara Dos Santos Gouveia. Universidade Estadual Paulista, Presidente Prudente (SP) Brasil.ORCID http://orcid.org/0000-0002-6147-0124
Iara Buriola Trevisan. Universidade Estadual Paulista, Presidente Prudente (SP) Brasil.ORCID http://orcid.org/0000-0003-0743-3231
Caroline Pereira Santos. Universidade Estadual Paulista, Presidente Prudente (SP) Brasil.ORCID http://orcid.org/0000-0002-9336-3577
Bruna Spolador de Alencar Silva. Universidade Estadual Paulista, Presidente Prudente (SP) Brasil.ORCID http://orcid.org/0000-0002-9085-9251
Ercy Mara Cipulo Ramos. Universidade Estadual Paulista, Presidente Prudente (SP) Brasil.ORCID http://orcid.org/0000-0002-3310-7336
Mahara Proença. Universidade Estadual do Norte do Paraná, Jacarezinho (PR) Brasil.ORCID http://orcid.org/0000-0002-6684-4922
Dionei Ramos. Universidade Estadual Paulista, Presidente Prudente (SP) Brasil.ORCID http://orcid.org/0000-0002-2956-7399
Universidade Paulista · BRUniversidade Estadual do Norte do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the relationships that smoking history has with inflammatory markers, metabolic markers, body composition, muscle strength, and cardiopulmonary capacity in current smokers.

methodsThis was a cross-sectional study involving 65 smokers (age range: 18-60 years). On three non-consecutive days, each participant was evaluated in terms of smoking history, pre-existing comorbidities, lung function (by spirometry), peripheral muscle strength (by dynamometry), body composition (by bioelectrical impedance analysis), levels of metabolic/inflammatory markers, and maximum cardiopulmonary capacity (by treadmill exercise test). We evaluated the relationships that smoking history has with inflammatory markers, metabolic markers, body composition, muscle strength, and cardiopulmonary capacity, using logarithmic transformation of the data and calculating Pearson's correlation coefficient and for partial correlations adjusted for age, gender, body mass index (BMI), and comorbidities. To identify the influence of smoking history on pre-existing comorbidities, we used a logistic regression model adjusted for age, BMI, and duration of smoking.

resultsSmoking history correlated significantly, albeit weakly, with triglyceride level (r = 0.317; p = 0.005), monocyte count (r = 0.308; p = 0.013), and waist circumference (r = 0.299; p = 0.017). However, those correlations did not retain their significance in the adjusted analysis. In the logistic regression model, smoking more than 20 cigarettes/day correlated significantly with the presence of metabolic diseases (OR = 0.31; 95% CI: 1.009-1.701; p = 0.043).

conclusionsIn this sample of smokers, smoking history correlated positively with the triglyceride level, the monocyte count, and waist circumference. The prevalence of metabolic disease was highest in those who smoked more than 20 cigarettes/day.

Indexed as

SmokersAdultBiomarkersBody CompositionBody Mass IndexCardiorespiratory FitnessCross-Sectional StudiesFemaleHumansInflammationMaleMiddle AgedMonocytesMuscle StrengthSmokingTriglyceridesBiomarkersTriglycerides

Identifiers

PMID32556029
PMCPMC7572273
OpenAlexW3036271761

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.