title: Who uses complementary and alternative therapies in regional South Australia? Evidence from the Whyalla Intergenerational Study of Health.
abstract: OBJECTIVE
  o assess the prevalence of complementary and alternative medicine (CAM) and service use for people with a chronic disease in rural and regional Australia, where reported prevalence of CAM use is higher.
  
  
  METHODS
  ata were from the Whyalla Intergenerational Study of Health, a population representative cross sectional study of 1146 people recruited in 2008-2009. Self-reported chronic disease diagnosis and health service use including CAM use were collected. Complementary and other medicines were recorded at a clinic visit in a reduced sample (n=722) and SF36 data were collected by questionnaire.
  
  
  RESULTS
  round 32% of respondents reported complementary medicine use and 27% CAM service use. There was no difference in the overall prevalence of CAM use among those with and without a chronic disease (OR 0.9, 95% CI 0.7-1.3). Greater age- and sex-adjusted use of complementary medicines was associated with the ability to save money (OR 1.75, 95% CI 1.17-2.63), but not with any other socioeconomic position indicator. Those who reported using prescribed medication were more likely to report using complementary medicines (OR 2.09, 95% CI 1.35-3.24).
  
  
  CONCLUSIONS
  he prevalence of CAM use in this regional community appeared lower than reported in similar communities outside of South Australia. Mainstream medicine use was associated with complementary medicine use, increasing the risk of an adverse drug interaction. This suggests that doctors and pharmacists should be aware of the possibility that their clients may be using complementary medicines, and the need for vigilance regarding potential side effects and interactions between complementary and mainstream therapies.
authors.affiliation: City East Campus, Sansom Institute, University of South Australia, GPO Box 2471, Adelaide, SA 5000, Australia. katina.d'onise@unisa.edu.au
authors.forename: Katina
authors.initials: K
authors.lastname: D'Onise
authors.forename: Matthew T
authors.initials: MT
authors.lastname: Haren
authors.forename: Gary M H
authors.initials: GM
authors.lastname: Misan
authors.forename: Robyn A
authors.initials: RA
authors.lastname: McDermott
mesh_terms: D000328:Adult; D017677:Age Distribution; D002908:Chronic Disease / Q000188:drug therapy*; D000529:Complementary Therapies / Q000009:adverse effects / Q000191:economics / Q000706:statistics & numerical data*; D017046:Cost Savings / Q000379:methods; D003430:Cross-Sectional Studies; D004522:Educational Status; D005260:Female; D006306:Health Surveys; D041743:Herb-Drug Interactions; D006801:Humans; D008297:Male; D008875:Middle Aged; D019338:Polypharmacy; D055553:Prescription Drugs / Q000009:adverse effects / Q000191:economics / Q000627:therapeutic use*; D012307:Risk Factors; D057566:Self Report; D017678:Sex Distribution; D012959:Socioeconomic Factors; D013021:South Australia
chemical_list: D055553:Prescription Drugs