. Universidade Estadual Paulista, Presidente Prudente (SP) Brasil.
. Universidade Estadual do Norte do Paraná, Jacarezinho (PR) Brasil.
J Bras Pneumol. 2020 Jun 15;46(5):e20180353. doi: 10.36416/1806-3756/e20180353. eCollection 2020.
To determine the relationships that smoking history has with inflammatory markers, metabolic markers, body composition, muscle strength, and cardiopulmonary capacity in current smokers.
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.
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).
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.
确定吸烟史与当前吸烟者的炎症标志物、代谢标志物、身体成分、肌肉力量和心肺能力之间的关系。
这是一项横断面研究，共纳入 65 名吸烟者（年龄 18-60 岁）。在三个非连续的日子里，每位参与者都接受了吸烟史、既往合并症、肺功能（通过肺活量测定法）、外周肌肉力量（通过测力法）、身体成分（通过生物电阻抗分析法）、代谢/炎症标志物水平和最大心肺能力（通过跑步机运动试验）的评估。我们通过对数转换数据并计算 Pearson 相关系数和偏相关系数来评估吸烟史与炎症标志物、代谢标志物、身体成分、肌肉力量和心肺能力之间的关系，这些偏相关系数是针对年龄、性别、体重指数（BMI）和合并症进行调整的。为了确定吸烟史对既往合并症的影响，我们使用了针对年龄、BMI 和吸烟持续时间进行调整的逻辑回归模型。
吸烟史与甘油三酯水平（r = 0.317；p = 0.005）、单核细胞计数（r = 0.308；p = 0.013）和腰围（r = 0.299；p = 0.017）显著相关，但在调整分析中这些相关性不再具有统计学意义。在逻辑回归模型中，每天吸烟超过 20 支与代谢性疾病的存在显著相关（OR = 0.31；95%CI：1.009-1.701；p = 0.043）。
在本研究的吸烟者样本中，吸烟史与甘油三酯水平、单核细胞计数和腰围呈正相关。每天吸烟超过 20 支的患者中，代谢性疾病的患病率最高。
