title: The validity of self-rated health as a measure of health status among young military personnel: evidence from a cross-sectional survey.
abstract: BACKGROUND
  Single item questions about self ratings of overall health status are widely used in both military and civilian surveys. Limited information is available to date that examines what relationships exist between self-rated health, health status and health related behaviors among relatively young, healthy individuals.
  
  
  METHODS
  The current study uses the population of active duty United States Air Force recruits (N = 31,108). Participants completed surveys that asked about health behaviors and health states and were rated their health on a continuum from poor to excellent.
  
  
  RESULTS
  Ratings of health were consistently lower for those who used tobacco (F = 241.7, p < .001), reported binge drinking (F = 69.0, p < .001), reported drinking and driving (F = 19.4, p < .001), reported taking health risks (F = 109.4, p < .001), were depressed (F = 256.1, p < .001) and were overweight (F = 39.5, p < .001).
  
  
  CONCLUSIONS
  Given the consistent relationship between self-rated overall health and factors important to military health and fitness, self-rated health appears to be a valid measure of health status among young military troops.
authors.affiliation: School of Medicine, University of Missouri-Kansas City, 2411 Holmes Street, Room MC-M03, Kansas City, MO 64110, USA. haddockc@umkc.edu
authors.forename: Christopher K
authors.initials: CK
authors.lastname: Haddock
authors.forename: Walker S C
authors.initials: WS
authors.lastname: Poston
authors.forename: Sara A
authors.initials: SA
authors.lastname: Pyle
authors.forename: Robert C
authors.initials: RC
authors.lastname: Klesges
authors.forename: Mark W
authors.initials: MW
authors.lastname: Vander Weg
authors.forename: Alan
authors.initials: A
authors.lastname: Peterson
authors.forename: Margaret
authors.initials: M
authors.lastname: Debon
mesh_terms: D000328:Adult; D000435:Alcoholic Intoxication / Q000453:epidemiology; D001294:Attitude to Health; D003430:Cross-Sectional Studies; D003863:Depression / Q000453:epidemiology; D005260:Female; D015438:Health Behavior; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D008889:Military Personnel / Q000523:psychology* / Q000706:statistics & numerical data; D016272:Occupational Health / Q000706:statistics & numerical data*; D015995:Prevalence; D012307:Risk Factors; D012649:Self Concept; D012907:Smoking / Q000009:adverse effects; D013315:Stress, Psychological / Q000453:epidemiology; D014481:United States / Q000453:epidemiology