吸烟女性慢性阻塞性肺病患者尼古丁成瘾的概率,取决于吸烟史和吸烟数量

Vyacheslav S. Lotkov, Anna V. Dzyubailo
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摘要

导言本文介绍了根据育龄妇女的吸烟史和每天吸烟数量对尼古丁成瘾的可能性进行评估的结果。目的是根据吸烟史和吸烟数量,确定吸烟者尼古丁成瘾的预后概率。材料和方法。该前瞻性研究纳入了107名患有慢性阻塞性肺疾病和不同阶段尼古丁成瘾(以下简称尼古丁成瘾)的吸烟女性患者。根据吸二手烟的情况,这些患者被分为两组:53名吸食二手烟的患者和54名不吸食二手烟的患者。观察组包括 42 名没有任何慢性疾病的非吸烟女性。慢性阻塞性肺病的诊断依据是俄罗斯呼吸学会的临床建议(2021 年)。采用参数和非参数统计方法对结果的可靠性进行了评估。在使用所有统计研究方法之前,我们检查了抽样是否符合高斯(正态)分布规律。我们使用 Kolmogorov- Smirnov 和 Lilliefors 正态性标准以及单样本 Shapiro-Wilco 正态性检验来描述分布规律。使用逻辑回归对二元特征与定量或定性特征的非线性联系进行了评估。通过逻辑回归分析,可以根据现有数据建立预测事件发生概率的统计模型。结果与讨论在平均每天吸烟 14 支的情况下,第一组(主动吸烟和吸二手烟的组合)的尼古丁成瘾开始于 12 年的吸烟经历,在 15 年的吸烟经历中达到最大概率。在第二组中,尼古丁成瘾的出现比第一组晚四年,并达到最大值(100%)。随着每天吸烟数量增加到 16 支,在尼古丁成瘾的早期过程中也观察到了相同的模式。结论除主动吸烟外,二手烟还会增加尼古丁负荷,为慢性阻塞性肺病的发病过程提供更明显的先决条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PROBABILITY OF NICOTINE ADDICTION DEVELOPMENT IN SMOKING FEMALE PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE, DEPENDING ON SMOKING HISTORY AND THE NUMBER OF CIGARETTES SMOKED
Introduction. This paper presents the results of assessing the likelihood of developing nicotine addiction, depending on smoking history and on the number of cigarettes smoked per day by women of fertile age. The aim is to establish the prognostic probability of nicotine addiction development in smokers, depending on smoking history and on the number of cigarettes smoked. Materiаls and Methods. The prospective study included 107 smoking female patients with chronic obstructive pulmonary disease and nicotine addiction of different stages (hereinafter referred to as nicotine addiction). The patients were divided into 2 groups, depending on their secondhand smoke: 53 smoking patients with and 54 smoking patients without secondhand smoke. The observational group consisted of 42 non-smoking women without any chronic diseases. Chronic obstructive pulmonary disease was diagnosed based on the clinical recommendations of the Russian Respiratory Society (2021). Reliability of the outcomes was assessed using the methods of parametric and nonparametric statistics. Prior to the application of all statistical research methods, we checked whether our sam- pling complied with the Gaussian (normal) distribution law. The distribution law was described using the Kolmogorov- Smirnov and Lilliefors normality criteria, and a single-sample Shapiro-Wilco normality test. Nonlinear links of binary features with quantitative or qualitative features were evaluated using logistic regression. Logistic regression analysis made it possible to create a statistical model for predicting the probability of an event based on available data. Results and Discussion. With an average smoking activity of 14 cigarettes per day, the onset of nicotine addiction in the first group (a combination of active and secondhand smoke) began with the smoking experience of 12 years, reaching the maximum probability with the experience of 15 years. In the second group, nicotine addiction appeared and reached its maximum (100 %) four years later than in the first group. With an increase in the number of cigarettes up to 16 per day, an identical pattern was observed within the course of earlier nicotine addiction. Conclusions. Secondhand smoke, in addition to active smoking, increases the nicotine load with the development of more pronounced prerequisites for the pathogenetic processes of chronic obstructive pulmonary disease development.
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