A laryngeal disorders prediction model based on cluster analysis and regression analysis.

Area of Science:

• Public Health
• Epidemiology
• Health Promotion

Background:

• Laryngeal disorders pose a significant public health concern.
• Understanding the interplay of risk factors is crucial for effective prevention strategies.
• Previous research has not fully elucidated the clustering of multiple health risks associated with laryngeal disorders in the South Korean population.

Purpose of the Study:

• To establish a baseline for community health promotion policies.
• To identify clusters of multiple health risk factors.
• To determine the risks of laryngeal disorders within these identified clusters.

Main Methods:

• Utilized data from the 5th Korean National Health and Nutrition Examination Survey (KNHANES) with 5941 participants.
• Employed 2-way cluster analysis to identify distinct population groups based on health risk factors.
• Conducted multinomial logit analysis to assess the relationship between clusters and laryngeal disorder risk.

Main Results:

• The overall prevalence of laryngeal disorder was 6.7%.
• Three distinct clusters of sociodemographic factors, health risk behaviors, and health status were identified.
• Multinomial logistic regression revealed significant associations between these clusters and the risk of laryngeal disorders.

Conclusions:

• Sociodemographic factors, health risk behaviors, and health status clusters significantly influence laryngeal disorder risk.
• Specific demographic and behavioral profiles, such as males who smoke, drink heavily, and have higher education/income, face increased risk.
• Tailoring health education and promotion programs based on identified population clusters is recommended for laryngeal disorder prevention.