[Survey on medicine use by elderly retirees in Belo Horizonte, Southeastern Brazil].
OBJECTIVE
To describe self-reported use of medicines by Brazilian elderly retirees focusing on gender differences.


METHODS
Household survey conducted in a random sample comprising 667 subjects aged 60 years or more who were living in Belo Horizonte, Southeastern Brazil, in 2003. The elderly were interviewed by pharmacists, using a standardized questionnaire. The prevalence of medicine use and mean use in the 15 days previous to the interview were estimated and then stratified by gender according to sociodemographic and health variables.


RESULTS
The prevalence of medicine use was 90.1%, and significantly higher among women (93.4%) than men (84.3%). Women and men took on average 4.6+/-3.2 and 3.3+/-2.6 products (p<0.001), respectively. The most frequently used drug category was cardiovascular, followed by nervous system and gastrointestinal tract and metabolism. Women showed higher use in all these drug categories, as well as higher mean number of drugs consumed, according to selected sociodemographic and health variables.


CONCLUSIONS
The study identified higher use of medicines by women, making them more vulnerable to the harmful effects of polytherapy, such as drug interactions and inadequate use of medicines.
Ribeiro
Andréia Queiroz
AQ
Departamento de Farmácia Social, Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil. andreiaribeiro@hotmail.com
Rozenfeld
Suely
S
Klein
Carlos Henrique
CH
César
Cibele Comini
CC
Acurcio
Francisco de Assis
Fde A
D000368:Aged; D000369:Aged, 80 and over; D001938:Brazil / Q000453:epidemiology; D016009:Chi-Square Distribution; D004358:Drug Therapy / Q000706:statistics & numerical data*; D005260:Female; D015577:Geriatric Assessment / Q000706:statistics & numerical data*; D006306:Health Surveys; D006801:Humans; D007407:Interviews as Topic; D008297:Male; D008875:Middle Aged; D017891:Pharmacoepidemiology; D019338:Polypharmacy; D015995:Prevalence; D012179:Retirement; D012737:Sex Factors; D012943:Social Security / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors