tervisefaktoritest

Tervisefaktoritest is a health-factor assessment designed to evaluate an individual's overall health risk by combining several physiological, behavioral, and psychosocial determinants into a single composite score. Used in clinical practice and public health, it helps identify people at higher risk for conditions such as cardiovascular disease, diabetes, or premature mortality, and supports prevention and care decisions. It is not a single standardized instrument but a family of methods.

Typical components include objective measures (body mass index or waist, blood pressure, lipid profile, glucose or HbA1c), lifestyle factors (physical activity, diet, smoking, alcohol), mental health indicators (stress, sleep, mood), and social determinants (education, income, social support). Some versions incorporate environmental exposures or data from wearables.

Administration and scoring vary. Data may come from lab tests, questionnaires, exams, and sensor data. Composite scores weight factors to classify risk (low, moderate, high). Some implementations use machine learning to optimize prediction and integration with electronic health records.

Applications include risk stratification in primary care, prioritizing preventive services, monitoring population health trends, and guiding targeted interventions. It can support shared decision making and efficient allocation of resources, while enabling researchers to study links between health determinants and outcomes.

Limitations and considerations include potential biases, cultural relevance, and data quality. Validation across populations is essential, as is protecting privacy and avoiding overreliance on a single score. Transparency about included factors and weights improves interpretability and clinical usefulness.