title: Using zero-inflated models to explain chronic illness, pain, and complementary and alternative medicine use.
abstract: OBJECTIVE
  To extend knowledge of complementary and alternative medicine (CAM) use by understanding how poor health influences both trying CAM and number of CAM types used.
  
  
  METHODS
  Using the 2002 National Health Interview Survey's Supplemental Section, zero-inflated models  were employed to examine CAM use across 5 domains.
  
  
  RESULTS
  Results indicate that level of pain is the only consistent predictor of both the likelihood of trying CAM and how many types of CAM are used. Pain increased the odds ratio and number of CAM types used across all domains. Findings,  however, were mixed for health status and chronic conditions. Only prayer was associated with higher odds ratio (OR=1.705, P<.001) and number of CAM types used for chronic illnesses (OR=1.024, P<.01).
  
  
  CONCLUSIONS
  Expanding to zero-inflated models demonstrates variation in CAM  use behaviors. Pain is the only consistent predictor of both trying CAM and the number of CAM types used. Chronic illness is only consistently influential for prayer.
authors: Southwest Interdisciplinary Research Center, Arizona State University, Phoenix, AZ, USA. Stephanie.L.Ayers@asu.edu
authors: Stephanie L
authors: SL
authors: Ayers
authors: Jennie J
authors: JJ
authors: Kronenfeld
mesh_terms: D000328:Adult; D002908:Chronic Disease / Q000188:drug therapy* / Q000523:psychology*; D000529:Complementary Therapies / Q000523:psychology / Q000706:statistics & numerical data*; D005260:Female; D015438:Health Behavior; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D010146:Pain / Q000188:drug therapy* / Q000523:psychology*; D012720:Severity of Illness Index