Factors predicting smoking in a laboratory-based smoking-choice task
Krysten W Bold1, Haewon Yoon1, Gretchen B Chapman1
1Department of Psychology.
Experimental and Clinical Psychopharmacology
|February 21, 2013
Summary
This study reveals that nicotine dependence and daily cigarette consumption predict earlier smoking initiation. Behavioral disinhibition and lower distress tolerance also influence smoking choices in a laboratory setting.
Area of Science:
- Behavioral Psychology
- Addiction Science
- Nicotine Dependence Research
Background:
- Understanding smoking maintenance is crucial for developing effective cessation strategies.
- Relapse risk factors are key targets for intervention.
- Novel laboratory tasks can model real-world smoking choices.
Purpose of the Study:
- To investigate the relationship between relapse risk factors and behavioral smoking choices.
- To utilize a novel laboratory smoking-choice task to examine smoking maintenance.
- To identify predictors of smoking sooner and more intensively.
Main Methods:
- A laboratory smoking-choice task was developed.
- Participants underwent 12 hours of nicotine deprivation.
- Choices involved smoking immediately versus delayed gratification for more cigarettes.
Main Results:
- Greater nicotine dependence and higher daily cigarette use predicted smoking sooner.
- Behavioral disinhibition was linked to immediate smoking latency.
- Lower distress tolerance correlated with more cigarettes smoked.
Conclusions:
- The novel smoking-choice paradigm serves as a valuable analog for cessation attempts.
- Factors like craving, dependence, and distress tolerance influence smoking lapses.
- Identifying these factors can aid in personalized cessation interventions.
Related Concept Videos
Statistical Methods for Analyzing Epidemiological Data
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:
Factorial Design
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
Factors Affecting Pulmonary Ventilation
Besides the pressure difference between the external environment and the lungs, the airflow rate and ease of pulmonary ventilation are also influenced by three other factors: surface tension of the fluid in the alveoli, compliance of the lungs, and airway resistance.
Alveolar Surface Tension
The alveolar fluid lines the luminal surface of the alveoli and exerts a force called surface tension. This force is caused by the polar water molecules in the liquid being more strongly attracted to each...
Alveolar Surface Tension
The alveolar fluid lines the luminal surface of the alveoli and exerts a force called surface tension. This force is caused by the polar water molecules in the liquid being more strongly attracted to each...

