OBJECTIVES To examine how the selections of different risk adjustors and statistical approaches affect the profiles of physician groups on patient satisfaction. DATA SOURCES Mailed patient surveys. Patients with asthma were selected randomly from each of 20 California physician groups between July 1998 and February 1999. A total of 2515 patients responded. RESEARCH DESIGN A cross-sectional ...

Television viewing (TV) is associated with an increased risk of type 2 diabetes, cardiovascular diseases, and all-cause mortality (1). In particular, excessive TV viewing was found to be more prevalent among older adults aged over 55 years than among younger age groups (2). Moreover, it has been emphasized the importance of identifying atrisk populations with excessive TV viewing time and its p...

BACKGROUND Experience of common health symptoms without a clear physical or psychological cause, such as headache or dizziness, is often reported in adolescence. The present study attempted to investigate associations of self-reported subjective health complaints (SHC) with a number of sociodemographic factors of Greek adolescents. METHODS Questionnaires were administered to a Greek nationwid...

BACKGROUND Studies on anxiety in patients having intra-alveolar extraction as well as the effect of patient's sociodemographic characteristics influencing level of associated anxiety are few in our environment. The aim of this study was to statistically analyze the sociodemographic determinants of dental anxiety in patients scheduled for intra-alveolar extraction. METHODS A cross-sectional st...

Understanding the sociodemographic factors that are related to adolescent health insurance status is key to unraveling the problem of those who are uninsured. Parent’s insurance status, poverty and family income, who adolescents live with, race and ethnicity, parent’s marital status and education, region and residence, and parent’s work status, and employment characteristics are all related to ...