Israel Medical Association Journal

Background: Due to multiple chronic illness and disability, the elderly consume a disproportionately large share of medications.

Objectives: To assess the patterns and determinants of drug use among the community dwelling old-old population.

Methods: The study population included 1,369 old-old persons from the baseline data of the Cross-Sectional and Longitudinal Aging Study (CALAS), which is based on a national random stratified sample of the Israeli Jewish population aged 75–94 years.

Results: The mean number of drugs used by the study population was 3.3, and only 12.5% did not consume any drugs. Multivariate linear regression analysis showed that women used significantly more drugs than men, and that those born in Europe took significantly more drugs than those born in Israel and Asia-Africa. The number of medical conditions was the strongest predictor of drug use. Hospitalizations during the last year and frequent visits to family physician were also significant factors related to drug use. All variables combined explained 40% of the variance in drug use by the old-old. The most commonly used therapeutic groups were cardiovascular drugs (53%), psychotropic drugs (31%), analgesics (30%), and gastrointestinal drugs (28%).

Conclusions: Our data indicate that in addition to the association of drug use with health status and healthcare utilization, the number and type of drugs taken vary with gender and place of birth.

Objectives: To compare risk behavior between subjects attending anonymous and confidential clinics for human immunodeficiency virus testing, and to assess whether anonymous testing results in a higher accrual of persons at risk for HIV.

Methods: An anonymous questionnaire that addressed sociodemographic and risk behavior aspects was administered to 140 subjects attending an anonymous clinic and 124 attending a confidential clinic in the Tel Aviv area. A logistic regression analysis was used to compare the effects of various behavioral factors on the probability of attending each clinic.

Results: Chronological age, age at first sexual intercourse and the percent of married subjects were similar in both clinics. However, there was a significant difference in the sex ratio and in educational attainment (85.0% versus 55.6% were males, P< 0.001 and 58% vs. 34% had over 12 years of education, P<0.001, in the anonymous and confidential clinics respectively).

There was a striking difference between the two clinics with regard to sexual experience characteristics: of the subjects reaching the anonymous clinic 21.4% were homosexual and 10.0% bisexual versus a total of 2.6% in the confidential clinic. A logistic regression analysis, comparing the effects of various behavioral factors on the probability of attending each clinic showed that gender (male), high education, homosexuality, number of partners and sexual encounter with sex workers were the strongest predictors for selecting anonymous HIV examination.

Conclusions: Individuals at high risk for HIV, such as homosexuals and bisexuals, prefer to attend an anonymous clinic.