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患有长期疾病、残疾或体弱的人比健康对照者更有可能吸烟:一项工具变量分析。

Individuals with long-term illness, disability or infirmity are more likely to smoke than healthy controls: An instrumental variable analysis.

机构信息

Institute for Global Health, University College London, London, United Kingdom.

Department of Sociology, University of Chicago, Chicago, IL, United States.

出版信息

Front Public Health. 2023 Jan 9;10:1015607. doi: 10.3389/fpubh.2022.1015607. eCollection 2022.

Abstract

Despite the prevalence of smoking cessation programs and public health campaigns, individuals with long-term illness, disability, or infirmity have been found to smoke more often than those without such conditions, leading to worsening health. However, the available literature has mainly focused on the association between long-term illness and smoking, which might suffer from the possible bidirectional influence, while few studies have examined the potential causal effect of long-term illness on smoking. This gap in knowledge can be addressed using an instrumental variable analysis that uses a third variable as an instrument between the endogenous independent and dependent variables and allows the identification of the direction of causality under the discussed assumptions. Our study analyzes the UK General Household Survey in 2006, covering a nationally representative 13,585 households. We exploited the number of vehicles as the instrumental variable for long-term illness, disability, or infirmity as vehicle numbers may be related to illness based on the notion that these individuals are less likely to drive, but that vehicle number may have no relationship to the likelihood of smoking. Our results suggested that chronic illness status causes a significantly 28% higher probability of smoking. The findings have wide implications for public health policymakers to design a more accessible campaign around smoking and for psychologists and doctors to take targeted care for the welfare of individuals with long-term illnesses.

摘要

尽管有戒烟计划和公共卫生运动的普及,但研究发现,长期患病、残疾或体弱的人比没有这些情况的人吸烟更频繁,导致健康状况恶化。然而,现有文献主要集中在长期疾病与吸烟之间的关联上,这种关联可能受到可能的双向影响,而很少有研究探讨长期疾病对吸烟的潜在因果影响。使用工具变量分析可以解决这一知识空白,该分析使用内生自变量和因变量之间的第三个变量作为工具变量,并在讨论的假设下确定因果关系的方向。我们的研究分析了 2006 年英国的全国家庭调查,涵盖了具有全国代表性的 13585 户家庭。我们利用车辆数量作为长期患病、残疾或体弱的工具变量,因为根据这些人不太可能开车的观点,车辆数量可能与疾病有关,但车辆数量与吸烟的可能性可能没有关系。我们的研究结果表明,慢性疾病状况会导致吸烟的可能性显著增加 28%。这些发现对公共卫生政策制定者制定更易获取的戒烟运动以及心理学家和医生为长期患病者提供有针对性的护理具有广泛的影响。

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