title: Healthy skepticism.
abstract: OBJECTIVE
  To investigate the relationship between medical skepticism and overall self-rated health and to identify disparities in health for vulnerable subgroups among the elderly.
  
  
  METHODS
  A cross-sectional telephone survey involving multiple callbacks. Independent variables included three measures of medical skepticism and disparities variables (low income, low education, race/ethnicity, gender, rural residence) along with several control variables (body weight, marital status, employment, insurance coverage, number of medical visits).
  
  
  METHODS
  West Texas, a sparsely populated 108-county region.
  
  
  METHODS
  Five thousand six persons aged 65 and over.
  
  
  RESULTS
  Multiple logistic regression analysis revealed that medical skepticism (believing that one can overcome illnesses without the help of a medical professional) was independently related to better self-rated overall health. Disparities in health were found for income, race/ethnicity, and low education but not for residents of rural or frontier areas (vs. urban residents).
  
  
  CONCLUSIONS
  Belief in one's own ability to manage most illnesses may or may not be causally related to better health. However, the association is promising and deserves further investigation. Programs promoting self-care among groups facing health disparities should be considered.
authors.affiliation: Health Services Research, Texas Tech University Health Sciences Center, Amarillo, TX 79130, USA. James.Rohrer@ttuhsc.edu
authors.forename: James E
authors.initials: JE
authors.lastname: Rohrer
authors.forename: Tyrone F
authors.initials: TF
authors.lastname: Borders
mesh_terms: D000368:Aged; D003430:Cross-Sectional Studies; D003695:Delivery of Health Care / Q000592:standards / Q000706:statistics & numerical data; D005260:Female; D006304:Health Status; D006801:Humans; D016015:Logistic Models; D008297:Male; D015999:Multivariate Analysis; D012648:Self Care / Q000592:standards / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires; D013781:Texas