自我报告的戒烟疲劳是否预测成年经常吸烟者尝试戒烟和持续戒烟?
Claudia M Cea1, Hua-Hie Yong1, Ron Borland2
1School of Psychology, Deakin University, Geelong, Victoria, Australia.
Addictive behaviors
|September 25, 2024
概括
经历戒烟疲劳 (CF) 的吸烟者更有可能尝试戒烟,但不太可能保持戒烟. 有针对性的支持可以帮助患有CF的个体维持戒烟的尝试.
科学领域:
- 公共卫生 公共卫生
- 行为科学 行为科学
- 控制烟草的控制方式
背景情况:
- 戒烟具有挑战性,许多吸烟者在反复失败后会经历戒烟疲劳 (CF).
- 戒烟疲劳可能会影响一个人成功戒烟的动力和能力.
研究的目的:
- 调查戒烟疲劳与开始和维持戒烟尝试之间的关联.
- 了解戒烟疲劳是否会影响戒烟尝试和维持戒断的可能性.
主要方法:
- 从2018年和2020年ITC 4CV调查中分析了来自澳大利亚,加拿大,英国和美国的4,139名成年吸烟者的数据.
- 停止疲劳在基线时使用自我报告的尺度进行了测量.
- 采用二元物流回归模型来评估CF对戒烟尝试和持续戒断的预测值,控制共变量.
主要成果:
- 与没有CF的人相比,报告任何程度的戒烟疲劳的人更有可能尝试戒烟.
- 然而,那些患有戒烟疲劳的人不太可能在戒烟尝试后至少一个月保持禁欲.
- 这些关联在调整社会人口统计和吸烟/吸烟因素后仍然显著,并没有因国家而异.
结论:
- 与预期相反,戒烟疲劳与尝试戒烟有积极的联系.
- 在CF和较低的持续戒断率之间观察到非线性关联.
- 研究结果表明,经历戒断疲劳的人可能会从量身定制的干预措施中受益,以支持持续的戒断.
相关概念视频
Determination of Expected Frequency
2.2K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.2K
Longitudinal Research
11.9K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
11.9K
Statistical Methods for Analyzing Epidemiological Data
316
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
316
Fatigue
174
Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
174
Fatigue Strength of Concrete
172
Fatigue, in the context of materials science and engineering, refers to the weakening or failure of a material caused by repeatedly applied loads, even if these loads are below the strength limit of the material. Fatigue strength in concrete is a critical property that influences its durability and longevity. Concrete can fail in two ways due to fatigue. Static fatigue or creep rupture occurs under a constant load or one that increases slowly. The other failure mode is due to cyclical or...
172
Drug Dependence
988
Medications are typically administered to achieve therapeutic effects. Some drugs can modify an individual's mood and perception, frequently resulting in various enjoyable experiences. However, this can result in drug dependency, a condition marked by continuous drug use despite potential negative consequences. Drug dependency primarily falls into two categories: psychological and physical dependence. Psychological dependence occurs when the pleasurable feelings induced by the drug...
988


