This investigation estimates the impact often modifiable health risk behaviors and measures and their impact on health care expenditures, controlling for other measured risk and demographic factors.
Retrospective two-stage multivariate analyses, including logistic and linear regression models, were used to follow up 46,026 employees from six large health care purchasers for up to 3 years after they completed an initial health risk appraisal.
These participants contributed 113,963 person-years of experience.
Results show that employees at high risk for poor health outcomes had significantly higher expenditures than did subjects at lower risk in seven often risk categories : those who reported themselves as depressed (70% higher expenditures), at high stress (46%), with high blood glucose levels (35%), at extremely high or low body weight (21%), former (20%) and current (14%) tobacco users, with high blood pressure (12%), and with sedentary lifestyle (10%). These same risk facton were found to be associated with a higher likelihood of having extremely high (outlier) expenditures.
Employees with multiple risk profiles for specific disease outcomes had higher expenditures than did those without these profiles for the following diseases : heart disease (228% higher expenditures), psychosocial problems (147%), and stroke (85%). (...)
Mots-clés Pascal : Economie santé, Facteur risque, Base donnée, Analyse coût, Prévention, Epidémiologie, Etats Unis, Amérique du Nord, Amérique, Analyse multivariable, Médecine travail, Analyse risque, Homme, Analyse statistique, Comparaison interindividuelle, Morbidité
Mots-clés Pascal anglais : Health economy, Risk factor, Database, Cost analysis, Prevention, Epidemiology, United States, North America, America, Multivariate analysis, Occupational medicine, Risk analysis, Human, Statistical analysis, Interindividual comparison, Morbidity
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0001741
Code Inist : 002B30A01C. Création : 31/05/1999.