title: Use of prescription medications in an elderly rural population: the MoVIES Project.
abstract: OBJECTIVE
  To determine the pharmacoepidemiology of prescription drug use in a rural elderly community sample, specifically the numbers and categories of medications taken and the factors associated with them.
  
  
  METHODS
  Cross-sectional community survey.
  
  
  METHODS
  The mid-Monongahela Valley of southwestern Pennsylvania.
  
  
  METHODS
  An age-stratified random sample of 1360 community-dwelling individuals, aged 65 years and older.
  
  
  METHODS
  Self-reported use of prescription drugs demographic characteristics, and use of health services.
  
  
  RESULTS
  Nine hundred sixty-seven participants (71%) reported regularly taking at least one prescription medication and 157 (10%) reported taking five or more medications (median 2.0, range 0-13). Women took significantly more medications than men (median 2.0, range 0-13 and median 1.0, range 0-9, respectively; p = 0.01). The use of a greater number of medications was independently and statistically significantly associated with older age, hospitalization within the previous 6 months, home health care in previous year, visit to a physician within the previous year, and insurance coverage for prescription medication. Individuals older than 85 years were significantly more likely to be taking cardiovascular agents, anticoagulants, vasodilating agents, diuretics, and potassium supplements. Significantly more women than men were taking nonsteroidal antiinflammatory drugs, antidepressants, potassium supplements, and thyroid replacement medications.
  
  
  CONCLUSIONS
  Both the number and the types of prescription medications vary with age and gender. The demographic and health service use variables associated with greater medication use in the community may help define high-risk groups for polypharmacy and adverse drug reactions. Longitudinal studies are needed.
authors.affiliation: Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA 15261, USA.
authors.forename: H C
authors.initials: HC
authors.lastname: Lassila
authors.forename: G P
authors.initials: GP
authors.lastname: Stoehr
authors.forename: M
authors.initials: M
authors.lastname: Ganguli
authors.forename: E C
authors.initials: EC
authors.lastname: Seaberg
authors.forename: J E
authors.initials: JE
authors.lastname: Gilby
authors.forename: S H
authors.initials: SH
authors.lastname: Belle
authors.forename: D A
authors.initials: DA
authors.lastname: Echement
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D003430:Cross-Sectional Studies; D003625:Data Collection; D011307:Drug Prescriptions; D004363:Drug Utilization; D005260:Female; D006801:Humans; D007356:Insurance, Pharmaceutical Services; D008297:Male; D010414:Pennsylvania / Q000453:epidemiology; D017891:Pharmacoepidemiology; D012424:Rural Population; D012737:Sex Factors; D012959:Socioeconomic Factors