title: Understanding Health and Health-Related Behavior of Users of Internet Health Information.
abstract: Little is known about how actual use of Internet health-related information is associated with health or health-related behavior.
  
  
  
  Using a nationally representative sample of 34,525 from 2012, this study examined the demographics of users of Internet health-related information (users), reports estimates of association with several health and behavioral outcomes adjusting for demographic factors, and analyzed the sample by education level, race, gender, and age.
  
  
  
  Analysis of a large nationally representative sample shows evidence that users of health-related information (users) on the Internet are younger, more educated, more likely to be insured, more likely to be female, and less likely to be African American. After adjusting for demographic differences, users are more likely to have been diagnosed with hypertension, cancer, stroke, and high cholesterol, but no evidence of current hypertension, weight-related issues, or being in fair or poor health. Users are less likely to smoke and among smokers are more likely to attempt quitting. Users are more likely to exercise, get a flu shot, pap smear, mammogram, HIV test, colon cancer screening, blood pressure check, and cholesterol check, but likely to be heavy drinkers. With few exceptions, results appear robust across gender, age groups, level of education, and ethnicity.
  
  
  
  Use is generally positively associated with prior diagnosis for several conditions and behaviors related to improved health, but I find no relationship with existing health status. The association between use of health-related Internet information and health-related behavior seems robust across levels of education, age, gender, and race.
authors.affiliation: University of Michigan-Dearborn , Dearborn, Michigan.
authors.forename: Matt
authors.initials: M
authors.lastname: Wimble
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D002908:Chronic Disease / Q000453:epidemiology; D054626:Consumer Health Information / Q000379:methods*; D005260:Female; D015438:Health Behavior; D006304:Health Status; D006801:Humans; D020407:Internet / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000453:epidemiology; D010342:Patient Acceptance of Health Care; D012737:Sex Factors; D012907:Smoking / Q000453:epidemiology; D012959:Socioeconomic Factors
keywords: Business Administration/Economics; behavioral health; e-health; policy