青少年和成年早期吸烟行为的纵向模式及其与可改变风险因素和社会人口风险因素的关系

A. Andrayas, H. J. Jones, J. Khouja, L. Hines, M. Munafo, J. Heron, H. Sallis
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引用次数: 0

摘要

导言 吸烟给公共卫生造成了巨大负担;因此,确定吸烟的风险因素仍然是一个重要的研究领域。本研究利用在英国年轻成人样本中收集的重复吸烟测量数据,对现有文献进行了补充,以(a)检验纵向吸烟行为之间的差异,(b)调查这些行为与多种风险因素之间的关联,以及(c)考虑这些关联如何随着时间的推移而变化。方法 本研究采用纵向潜类分析和 12 种重复测量方法,得出雅芳父母与子女纵向研究中的吸烟模式。然后研究了这些模式与从 0-28 岁收集的 402 个风险因素测量值之间的关联。选定的风险因素包括家庭和同伴因素、生活方式和社会人口因素、心理健康、父母身份、不良童年经历和创伤。结果 得出了五种不同的潜在吸烟类别,分别为不吸烟、短期吸烟、偶尔吸烟、早发吸烟和晚发吸烟。这些类别在开始吸烟的年龄、频率和戒烟情况方面存在差异。其他物质的使用以及父母和同伴物质的使用与吸烟模式的关系最为密切。与早发性吸烟相关的风险因素多于晚发性吸烟。许多经常吸烟的风险因素与偶尔吸烟的关系并不一样。区分晚发性吸烟和短期吸烟的措施较少。一些关联因测量时间或相关吸烟模式而异。结论 这项研究的结果可用于确定哪些人群最容易受到有害吸烟模式的影响,尽管他们已经受到了强有力的烟草预防工作的影响。这也有助于更好地调整吸烟干预措施和改进烟草控制政策。
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Longitudinal patterns of smoking behaviours in adolescence and early adulthood and their association with modifiable and sociodemographic risk factors
Introduction Smoking contributes a huge burden on public health; thus, identifying risk factors for smoking remains an important area of research. This study adds to the wealth of existing literature by utilising repeated smoking measures collected in a UK sample of young adults to (a) examine differences between longitudinal smoking behaviours, (b) investigate their association with many risk factors, and c) consider how these associations may change over time. Methods This study uses longitudinal latent class analysis and 12 repeated measures to derive patterns of smoking in the Avon Longitudinal Study of Parents and Children. The association of these patterns with 402 risk factor measures collected from 0-28 years is then investigated. The selected risk factors include familial and peer factors, lifestyle and sociodemographic factors, mental health, parenthood, adverse childhood experiences and trauma. Results Five different latent classes of smoking were derived and referred to as non-smoking, short-term smoking, occasional smoking, early-onset smoking, and late-onset smoking. These showed differences in age of onset, frequency, and cessation. Other substance use, and parental and peer substance use, showed the strongest association with smoking patterns. More risk factors were associated with early-onset than late-onset smoking. Many risk factors of regular smoking did not show the same associations with occasional smoking. Fewer measures differentiated late-onset from short-term smoking. Some associations varied depending on the time of measurement or smoking pattern in question. Conclusions Findings from this study may be used to identify groups of people most vulnerable to more harmful smoking patterns despite being exposed to strong tobacco prevention efforts. This could also help better tailor smoking interventions and improve tobacco control policies.
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