Symptom load and functional status: results from the Ullensaker population study.

Area of Science:

• Public Health
• Epidemiology
• Health Outcomes Research

Background:

• Self-reported symptoms are established predictors of health outcomes.
• Previous research focused on individual or grouped symptoms, not the total symptom count.
• The relationship between the number of symptoms and functional status requires further investigation.

Purpose of the Study:

• To determine the association between the number of self-reported symptoms and functional status.
• To explore whether the total symptom count is a better predictor of functional status than individual symptoms.

Main Methods:

• A questionnaire survey was administered to 3227 individuals across seven age groups in Southern Norway.
• Musculoskeletal and non-musculoskeletal symptoms were recorded using validated instruments.
• Functional status was assessed using COOP-WONCA charts.

Main Results:

• A significant linear association was found between the number of self-reported symptoms and functional status.
• The total number of symptoms explained 39.2% of the variance in functional status, even after adjusting for age and sex.
• Including minor symptoms captured more variance in functional status than including only severe symptoms.

Conclusions:

• The number of symptoms is a robust predictor of functional status, irrespective of symptom type.
• Counting symptoms may serve as a practical tool for population health studies and research into medically unexplained conditions.