Related Experiment Video
Updated: Jun 14, 2026

Studying Effects of Cigarette Smoke on Pseudomonas Infection in Lung Epithelial Cells
Published on: May 11, 2020
Risk perception and smoking behavior in medically ill smokers: a prospective study
Belinda Borrelli1, Rashelle B Hayes, Shira Dunsiger
1Centers for Behavioral and Preventive Medicine, Warren Alpert Medical School of Brown University and The Miriam Hospital, Providence, RI 02903, USA. belinda_borrelli@brown.edu
Understanding risk perception is key to quitting smoking. Increased perceived vulnerability and precaution effectiveness predict smoking cessation, while optimistic bias may hinder it, especially in those with smoking-related illnesses.
Area of Science:
- Behavioral Science
- Public Health
- Addiction Medicine
Background:
- Smoking cessation remains a significant public health challenge.
- Understanding the psychological factors influencing quit attempts and success is crucial for developing effective interventions.
- Risk perception, including perceived vulnerability, optimistic bias, and precaution effectiveness, may play a role in smoking cessation.
Purpose of the Study:
- To investigate how different facets of risk perception influence smokers' intentions to quit.
- To determine the predictive validity of risk perception measures on post-treatment smoking abstinence.
- To examine these relationships in adult smokers receiving care from home health-care nurses.
Main Methods:
- A prospective, longitudinal study design was employed.
- 237 adult smokers (mean age 56) were recruited in the United States.
- Risk perception (perceived vulnerability, optimistic bias, precaution effectiveness) was measured pre- and post-treatment, with smoking status biochemically verified at multiple follow-up points.
Main Results:
- Risk perception measures demonstrated theoretical discriminability and predictive validity.
- Elevated risk perception correlated with various socio-demographic and psychosocial factors.
- Change in perceived vulnerability predicted cessation; optimistic bias predicted lower cessation likelihood; precaution effectiveness predicted higher cessation likelihood, particularly in smokers with illness.
Conclusions:
- Perceived vulnerability changes are significant predictors of smoking cessation in patients receiving home health-care.
- For individuals with smoking-related illnesses, optimistic bias is associated with continued smoking, whereas precaution effectiveness is linked to successful cessation.
More Related Videos
Related Concept Videos
Stress Prevention and Stress Management Techniques IV
Factors Affecting Illness
For instance, risk factors are connected to illness, disability,...
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History
Observational Studies
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...
Statistical Methods for Analyzing Epidemiological Data
Assessment of Respiration
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like asthma or COPD,...

