Related Experiment Video
Updated: Jul 26, 2026

10:37
Automated Measurement of Pulmonary Emphysema and Small Airway Remodeling in Cigarette Smoke-exposed Mice
Published on: January 16, 2015
Smoking motive factors: a review and replication
The International Journal of the Addictions
|May 1, 1980
Summary
Smoking motives are stable over time, reflecting personality traits. This study confirmed the reliability of the smoking motive model in adult male smokers over a three-year period.
Area of Science:
- Behavioral Psychology
- Addiction Research
- Psychometrics
Background:
- Emerging consensus on the number, nature, and function of smoking motives.
- Lack of large-scale studies on the stability of smoking motives and the smoking motive model's utility.
Purpose of the Study:
- To test the factorial replicability and longitudinal stability of smoking motives.
- To evaluate the smoking motive model's utility in adult male smokers.
Main Methods:
- Longitudinal study using the Horn-Waingrow Smoker Survey administered in 1973 and 1976.
- Inclusion of 20 additional items developed by Coan.
- Factor analyses conducted on data from 1,340 current and former adult male smokers.
Main Results:
- The original factor structure of smoking motives was satisfactorily replicated at both time points.
- The addition of Coan's items yielded only one new factor.
- Three-year stability coefficients ranged from .45 to .67 for both continuing and former smokers.
Conclusions:
- Smoking motives demonstrate significant longitudinal stability over a three-year period.
- The findings support the concept that smoking motives are stable reflections of underlying personality needs and traits.
- The smoking motive model is a reliable tool for understanding individual differences in smoking behavior.
Related Concept Videos
Observational Studies
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Drugs Acting on Autonomic Ganglia: Stimulants
Ganglionic stimulants activate NM nicotinic receptors in autonomic ganglia, falling into two categories: nicotine mimetics [e.g., lobeline, dimethylpiperazine, tetramethylammonium] and muscarinic receptor agonists [e.g., muscarine, methacholine]. The first category's action is rapid and blocked by nicotinic receptor antagonists, while the second category's action is delayed and blocked by atropine-like agents. Nicotine, an alkaloid, affects the heart rate by stimulating sympathetic or...
Criteria for Causality: Bradford Hill Criteria - II
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
Criteria for Causality: Bradford Hill Criteria - I
The Bradford Hill criteria are a group of principles that provide a framework to determine a causal relationship between a specific factor and a disease. There are nine criteria that are pivotal in assessing causality in epidemiological studies. Here's a closer look at Strength, Consistency, Specificity, and Temporality criteria with definitions and examples:
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:
Stress Prevention and Stress Management Techniques IV
Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...

