影响戒烟的因素:印度孟买全国戒烟热线服务的调查结果。

IF 1.2 Q4 ONCOLOGY
ecancermedicalscience Pub Date : 2024-09-25 eCollection Date: 2024-01-01 DOI:10.3332/ecancer.2024.1777
Atul Budukh, Sharyu Mhamane, Sonali Bagal, Priyal Chakravarti, Ganesh Ogale, Radhika Sharma, Manisha Yadav, Sushama Saoba, Suvarna Gore, Pankaj Chaturvedi
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引用次数: 0

摘要

印度政府设立了国家烟草戒烟热线服务(NTQLS),提供免费、有效的电话咨询,帮助人们戒烟。本文旨在介绍2021-2022年间孟买通过NTQLS戒烟者的数据,以及影响戒烟的因素。这是一项前瞻性研究,愿意戒烟的人利用了 NTQLS。研究人员提供了有效的咨询并进行了跟踪。研究进行了多元逻辑回归分析。戒烟是因变量,而社会人口学特征、烟草消费习惯、以前的戒烟尝试、酒精消费、其他药物使用和合并疾病则是自变量。2021-2022 年间,系统共收到 448893 次呼叫。其中,127,163 个电话(28.3%)得到了接听。在接听的电话中,有 21,504 个电话(16.9%)设定了戒烟日期;其中 8,276 个电话(38.5%)的来电者戒掉了烟草。既往未尝试过戒烟[OR:1.48,95% 置信区间(CI):1.25-1.75]、从未饮酒(OR:1.37,95%CI:1.2-1.56)、6-30 分钟内(OR:1.29,95% CI:1.12-1.49)和起床后 30-60 分钟内(OR:1.26,95% CI:1.05-1.51)吸烟者的戒烟率较高。而女性来电者(OR:0.59,95% CI:0.35-0.99)、私营部门工作者(OR:0.70,95% CI:0.61-0.81)、烟草消费量超过 10 单位/包(OR:0.70,95% CI:0.61-0.79)、烟草使用超过 10 年(OR:0.85,95% CI:0.73-0.97)、烟草支出超过 5,000 卢比(OR:0.58,95% CI:0.44-0.77)和没有已知并发症(OR:0.8,95% CI:0.71-0.91)的人更不可能戒烟。减少烟草消费将在无意中减轻非传染性疾病(NCD)的负担,并有助于实现与烟草控制和非传染性疾病相关的可持续发展目标。戒烟热线在烟草控制中发挥着重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors influencing tobacco quitting: findings from National Tobacco-Quitline Services, Mumbai, India.

The Government of India established National Tobacco Quitline Services (NTQLS) to provide free and effective telephonic counselling to help people quit tobacco. The objective of the paper is to present the data of tobacco quitters who quit tobacco through NTQLS, Mumbai, in the years 2021-2022 and the factors that influenced tobacco quitting. This is a prospective study where individuals willing to quit tobacco utilised NTQLS. Effective counselling was provided and was followed up. Multiple logistic regression analysis was conducted. Tobacco quitting is the dependent variable while sociodemographic characteristics, tobacco consumption habits, previous quit attempts, alcohol consumption, other substance use and co-morbidity were independent variables. In the years 2021-2022, a total of 448,893 calls hit the system. Of these, 127,163 (28.3%) calls were attended. Of the attended calls, a quit date was set for 21,504 calls (16.9%); of these, 8,276 (38.5%) callers quit tobacco. Individuals with no previous quit attempts [OR: 1.48, 95% confidence interval (CI): 1.25-1.75], never consumed alcohol (OR: 1.37, 95%CI: 1.2-1.56), consumed tobacco within 6-30 minutes (OR: 1.29, 95% CI: 1.12-1.49) and 30-60 minutes after waking up (OR: 1.26, 95% CI: 1.05-1.51) had higher quitting rates. While, female callers (OR: 0.59, 95% CI: 0.35-0.99), private sector workers (OR: 0.70, 95% CI: 0.61-0.81), individuals consuming more than ten tobacco units/packets (OR: 0.70, 95% CI: 0.61-0.79), tobacco use more than 10 years (OR: 0.85, 95% CI: 0.73-0.97), expenditure of more than 5,000 rupees on tobacco (OR: 0.58, 95% CI: 0.44-0.77) and those with no known co-morbid conditions (OR: 0.8, 95% CI: 0.71-0.91) were less likely to quit tobacco. Reduced tobacco consumption will inadvertently reduce the non-communicable disease (NCD) burden and help in achieving the sustainable development goals related to tobacco control and NCD. Quitline plays an important role in tobacco control.

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来源期刊
CiteScore
3.80
自引率
5.60%
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