title: Complementary and alternative medicine use among US Navy and Marine Corps personnel.
abstract: BACKGROUND
  Recently, numerous studies have revealed an increase in complementary and alternative medicine (CAM) use in US civilian populations. In contrast, few studies have examined CAM use within military populations, which have ready access to conventional medicine. Currently, the prevalence and impact of CAM use in US military populations remains unknown.
  
  
  METHODS
  To investigate CAM use in US Navy and Marine Corps personnel, the authors surveyed a stratified random sample of 5,000 active duty and Reserve/National Guard members between December 2000 and July 2002. Chi-square tests and multivariable logistic regression were used to assess univariate associations and adjusted odds of CAM use in this population.
  
  
  CONCLUSIONS
  Of 3,683 service members contacted, 1,446 (39.3%) returned a questionnaire and 1,305 gave complete demographic and survey data suitable for study. Among respondents, more than 37% reported using at least one CAM therapy during the past year. Herbal therapies were among the most commonly reported (15.9%). Most respondents (69.8%) reported their health as being very good or excellent. Modeling revealed that CAM use was most common among personnel who were women, white, and officers. Higher levels of recent physical pain and lower levels of satisfaction with conventional medical care were significantly associated with increased odds of reporting CAM use.
  
  
  CONCLUSIONS
  These data suggest that CAM use is prevalent in the US military and consistent with patterns in other US civilian populations. Because there is much to be learned about CAM use along with allopathic therapy, US military medical professionals should record CAM therapies when collecting medical history data.
authors.affiliation: Department of Defense Center for Deployment Health Research at the Naval Health Research Center, San Diego, CA, USA. smith@nhrc.navy.mil
authors.forename: Tyler C
authors.initials: TC
authors.lastname: Smith
authors.forename: Margaret A K
authors.initials: MA
authors.lastname: Ryan
authors.forename: Besa
authors.initials: B
authors.lastname: Smith
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Reed
authors.forename: James R
authors.initials: JR
authors.lastname: Riddle
authors.forename: Gia R
authors.initials: GR
authors.lastname: Gumbs
authors.forename: Gregory C
authors.initials: GC
authors.lastname: Gray
mesh_terms: D000328:Adult; D001294:Attitude to Health; D016009:Chi-Square Distribution; D000529:Complementary Therapies / Q000706:statistics & numerical data*; D005260:Female; D015438:Health Behavior; D019538:Health Care Surveys; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D016015:Logistic Models; D008297:Male; D008487:Medical History Taking / Q000706:statistics & numerical data; D008889:Military Personnel / Q000706:statistics & numerical data*; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology