ABSTRACT
Resumo Introdução O tabagismo é uma das principais causas de morte, e embora existam várias estratégias para parar de fumar, a ansiedade e a depressão podem prejudicar este processo. Objetivo Avaliar os níveis de ansiedade e depressão em tabagistas, ajustando os valores para possíveis variáveis de confusão, como sexo, idade, escolaridade e nível socioeconômico. Método Estudo transversal, amostra de 444 indivíduos avaliados em relação ao histórico de tabagismo, níveis de ansiedade e depressão pela Escala Hospitalar de Ansiedade e Depressão e caracterizados conforme o perfil socioeconômico. Resultados Encontrou-se uma associação entre tabagismo e ansiedade (p = 0,003) e entre tabagismo e depressão (p <0,001) mesmo após ajustes para fatores de confusão (tabagismo e ansiedade: OR sexo: 2,01; OR idade: 2,56; OR escolaridade: 2,25; OR nível socioeconômico: 2,26; tabagismo e depressão: OR sexo: 4,80; OR idade: 3,13; OR escolaridade: 1,82; OR nível socioeconômico: 1,81). Conclusão O estudo mostrou que tabagistas apresentam altos níveis de ansiedade e depressão.
Abstract Background Smoking is one of the leading causes of death, although there are several strategies for quitting smoking. Anxiety and depression can hinder this process. Objective To assess levels of anxiety and depression in smokers, adjusting the values for possible confounding variables such as sex, age, schooling, and socioeconomic status. Method Cross-sectional study, the sample included 444 subjects were assessed for smoking history, anxiety levels and depression by the Hospital Anxiety and Depression Scale and characterized according to the socioeconomic profile. Results An association was found between smoking and anxiety (p=0.003) and between smoking and depression (p≤ 0.001) even after adjustments for confounding factors (Smoking and anxiety: OR Sex: 2.01; OR Age: 2.56; OR Schooling: 2.25; OR Socioeconomic level: 2.26; Smoking and Depression: OR Sex: 4.80; OR Age: 3.13; OR Schooling: 1.82; OR Socioeconomic level: 1.81). Conclusion The study showed that smokers present high anxiety and depression.
ABSTRACT
Abstract Background: Nasal mucociliary clearance (NMC) responds to autonomic activity through exercise. However, there is a gap in the literature on how NMC responds to resistance exercise. Objective: To evaluate the acute effects of resistance tube exercise on NMC and the autonomic nervous system in smokers. Methods: Clinical trial was performed with 18 individuals. Personal, anthropometric, and smoking history data were collected, and a pulmonary function test was performed by spirometry. The fatigue resistance test was performed in order to obtain the number of repetitions for the prescription of exercise. Heart rate variability was captured using a monitor. Subsequently, the exhaled carbon monoxide (exCO) was measured and a saccharin transit test (STT) was performed for NMC. Results: The non-smoking group presented a significant decrease of 4.0±3.2 minutes in STT after P1 (p=0.021). Regarding HRV, the smoking group presented a significant decrease of mean RR (−90.3±53.0; p=0.011), SDNN (−560.0±1333.2; p=0.008), RMSSD (−13.6±10.5; p=0.011), LFms² (−567.3±836.1; p=0.008), HFms² (−223.8±231.8; p=0.008), SD1 (−9.7±7.4; p=0.011) and SD2 (−20.7±17.0; p=0.008), and an increase of mean HR (10.2±5.9; p=0.011) after P2. In the non-smoking group, a significant decrease was observed in the mean RR (−67.1±70.7; p=0.038), SDNN (−16.8±15.0; p=0.015), RMSSD (−12.3±14.7; p=0.011), LFms² (−831.2±1347.5; p=0.015), SD1 (−8.7±10.4; p=0.011), and SD2 (−22.0±19.1; p=0.015), while an increase in HR (7.1±7.3; p=0.028) was found after P1. Conclusions: The intensity of the resistance exercise applied to the patient was not enough to promote changes in smokers. By contrast, in non-smokers, the same intensity of exercise was effective in promoting alterations in the NMC and autonomic activity. (Int J Cardiovasc Sci. 2021; 34(2):223-230)
Subject(s)
Humans , Male , Female , Adult , Middle Aged , Mucociliary Clearance , Smokers , Endurance Training/methods , Respiratory Function Tests , Exercise , Smoking/adverse effectsABSTRACT
ABSTRACT Objective: 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.
RESUMO Objetivo: Verificar a relação da carga tabágica com marcadores inflamatórios, marcadores metabólicos, composição corporal, força muscular e capacidade cardiorrespiratória em tabagistas. Métodos: Estudo transversal com 65 tabagistas de ambos os sexos (idade: 18-60 anos). Todos os participantes foram avaliados em três dias não consecutivos quanto ao histórico de tabagismo, comorbidades pré-existentes, função pulmonar (espirometria), força muscular periférica (dinamometria), composição corporal (bioimpedância), dosagem de marcadores metabólicos e inflamatórios e teste cardiopulmonar em esteira para avaliar a capacidade cardiorrespiratória máxima. Avaliou-se a relação da carga tabágica com marcadores inflamatórios, marcadores metabólicos, composição corporal, força muscular e capacidade cardiorrespiratória com transformação logarítmica através da correlação de Pearson e correlações parciais ajustadas para idade, sexo, índice de massa corpórea (IMC) e comorbidades. A regressão logística com modelo ajustado para idade, IMC e tempo de tabagismo foi utilizada para identificar a influência do histórico de tabagismo sobre as comorbidades pré-existentes. Resultados: Observaram-se correlações positivas fracas somente para dados não ajustados da carga tabágica com nível de triacilglicerol (r = 0,317; p = 0,005), contagem de monócitos (r = 0,308; p = 0,013) e circunferência abdominal (r = 0,299; p = 0,017). No modelo de regressão logística, fumar mais de 20 cigarros/dia correlacionou-se significativamente com a presença de doenças metabólicas (OR = 0,31; IC95%: 1,009-1,701; p = 0,043). Conclusões: Nesta amostra de tabagistas, a carga tabágica se correlacionou positivamente com nível de triacilglicerol, contagem de monócitos e circunferência abdominal. A prevalência de doenças metabólicas foi maior em tabagistas que fumam mais de 20 cigarros/dia.