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

dc.contributor.authorGouveia, Tamara dos Santos [UNESP]
dc.contributor.authorTrevisan, Iara Buriola [UNESP]
dc.contributor.authorSantos, Caroline Pereira [UNESP]
dc.contributor.authorAlencar Silva, Bruna Spolador de [UNESP]
dc.contributor.authorCipulo Ramos, Ercy Mara [UNESP]
dc.contributor.authorProenca, Mahara
dc.contributor.authorRamos, Dionei [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Estadual Norte Parana
dc.date.accessioned2020-12-12T00:26:30Z
dc.date.available2020-12-12T00:26:30Z
dc.date.issued2020-01-01
dc.description.abstractObjective: To determine the relationships that smoking history has with inflammatory markers, metabolic markers, body composition, muscle strength, and cardiopulmonary capacity in current smokers. Methods: This 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. Results: Smoking 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). Conclusions: In 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.en
dc.description.affiliationUniv Estadual Paulista, Presidente Prudente, SP, Brazil
dc.description.affiliationUniv Estadual Norte Parana, Jacarezinho, PR, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Presidente Prudente, SP, Brazil
dc.format.extent7
dc.identifierhttp://dx.doi.org/10.36416/1806-3756/e20180353
dc.identifier.citationJornal Brasileiro De Pneumologia. Brasilia Df: Soc Brasileira Pneumologia Tisiologia, v. 46, n. 5, 7 p., 2020.
dc.identifier.doi10.36416/1806-3756/e20180353
dc.identifier.fileS1806-37132020000500201.pdf
dc.identifier.issn1806-3713
dc.identifier.scieloS1806-37132020000500201
dc.identifier.urihttp://hdl.handle.net/11449/197911
dc.identifier.wosWOS:000565142100001
dc.language.isoeng
dc.publisherSoc Brasileira Pneumologia Tisiologia
dc.relation.ispartofJornal Brasileiro De Pneumologia
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectTobacco
dc.subjectSmoking
dc.subjectTriglycerides
dc.subjectMonocytes
dc.subjectWaist circumference
dc.subjectBody composition
dc.titleSmoking history: relationships with inflammatory markers, metabolic markers, body composition, muscle strength, and cardiopulmonary capacity in current smokersen
dc.typeArtigo
dcterms.rightsHolderSoc Brasileira Pneumologia Tisiologia
dspace.entity.typePublication
unesp.author.orcid0000-0002-9085-9251[4]
unesp.departmentFisioterapia - FCTpt

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