Background: Comparative risk perceptions may rival other types of information in terms of effects on health behavior decisions.
Purpose: We examined associations between comparative risk perceptions, affect, and behavior while controlling for absolute risk perceptions and actual risk.
Methods: Women at an increased risk of breast cancer participated in a program to learn about tamoxifen which can reduce the risk of breast cancer. They reported comparative risk perceptions of breast cancer and completed measures of anxiety, knowledge, and tamoxifen-related behavior intentions. Three months later, the women reported their behavior.
Results: Comparative risk perceptions were positively correlated with anxiety, knowledge, intentions, and behavior 3 months later. After controlling for participants' actual risk of breast cancer and absolute risk perceptions, comparative risk perceptions predicted anxiety and knowledge, but not intentions or behavior.
Conclusions: Comparative risk perceptions can affect patient outcomes like anxiety and knowledge independently of absolute risk perceptions and actual risk information.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3760792 | PMC |
| http://dx.doi.org/10.1007/s12160-011-9287-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Viral Hepatitis B and Its Implications for Public Health in DR Congo: A Systematic Review.
Viruses
December 2024
World Health Organization (WHO) Country Office, Kinshasa 01206, Democratic Republic of the Congo.
The prevalence of hepatitis B virus infection remains high in the Democratic Republic of Congo (DRC), constituting a public health problem in view of the fatal complications it causes, notably cirrhosis and hepatocellular carcinoma. The aim of this study was to provide an overview of the situation of viral hepatitis B in the DRC and in particular its implications for public health. A systematic review was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) group guidelines.
View Article and Find Full Text PDFInterrelation Between BMI, Dietary Habits, Self-Rated Health, and Body Image Perception Among Korean Adolescents: The Korea Youth Risk Behavior Web-Based Survey (2022).
Nutrients
January 2025
Department of Sports Rehabilitation, Jaeneung University, Incheon 22573, Republic of Korea.
Background/objectives: Adolescent obesity is highly likely to lead to adult obesity and is associated with dietary habits, subjective health, and body image perception. This study aimed to analyze the relationships between BMI, dietary habits, subjective health perception, and body image perception among Korean adolescents using data from the 18th Korea Youth Risk Behavior Survey conducted in 2022 to explore strategies for reducing adolescent obesity rates.
Methods: Data from 50,427 participants were analyzed, including BMI, seven lifestyle factors (intake frequencies of water, milk, fruit, soft drinks, vegetables, breakfast, and late-night snacks), and responses to one item each for subjective health perception and body image perception.
The Impact of Social Media on Eating Disorder Risk and Self-Esteem Among Adolescents and Young Adults: A Psychosocial Analysis in Individuals Aged 16-25.
Nutrients
January 2025
Department of Health Promotion, Faculty of Public Health in Bytom, Medical University of Silesia in Katowice, ul. Piekarska 18, 41-902 Bytom, Poland.
Background/objectives: Eating disorders (EDs) result from complex interactions of biological, psychological, social, and cultural factors, disproportionately affecting adolescents and young adults. Social media, peer pressure, and self-esteem issues contribute to ED prevalence. This study examines ED risk, eating behaviors, and self-esteem among individuals aged 16-25, exploring differences by gender, age, and social media usage.
View Article and Find Full Text PDFAn Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models.
Sensors (Basel)
January 2025
School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Artificial intelligence (AI), particularly through advanced large language model (LLM) technologies, is reshaping coal mine safety assessment methods with its powerful cognitive capabilities. Given the dynamic, multi-source, and heterogeneous characteristics of data in typical mining scenarios, traditional manual assessment methods are limited in their information processing capacity and cost-effectiveness. This study addresses these challenges by proposing an embodied intelligent system for mine safety assessment based on multi-level large language models (LLMs) for multi-source sensor data.
View Article and Find Full Text PDFAssessing Attitudes and Perceptions of High-Risk, Low-Resource Communities Towards Cardiopulmonary Resuscitation and Public-Access Defibrillation.
J Clin Med
January 2025
Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Layperson cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use are vital for improving survival rates after out-of-hospital cardiac arrest (OHCA), yet their application varies by community demographics. We evaluated the concerns and factors influencing willingness to perform CPR and use AEDs among laypersons in high-risk, low-resource communities. From April 2022 to March 2024, laypersons in Northern Manhattan's Community District 12 completed surveys assessing their attitudes toward CPR and AED use before attending Hands-Only CPR training.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!