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[成人药物使用情况:患病率及个体决定因素]

[Drug utilization in adults: prevalence and individuals determinants].

作者信息

Bertoldi Andréa D, Barros Aluísio J D, Hallal Pedro C, Lima Rosângela C

机构信息

Programa de Pós-Graduação em Epidemiologia, Faculdade de Medicina, Universidade Federal de Pelotas, Pelotas, RS, Brasil.

出版信息

Rev Saude Publica. 2004 Apr;38(2):228-38. doi: 10.1590/s0034-89102004000200012. Epub 2004 Apr 26.

Abstract

OBJECTIVE

To study epidemiological patterns of drug utilization and its individual determinants and to classify drugs used into pharmacological groups.

METHODS

In a population-based cross-sectional study, 3,182 subjects aged 20 years or more were selected from an urban area in Southern Brazil using a multi-stage sampling design. Data were collected through home interviews using a structured questionnaire. Drug use in the previous 15 days was recorded. Crude analysis was performed using the Chi-square test for heterogeneity and trend and t-test for means' comparison. The adjusted analysis was carried out using Poisson regression.

RESULTS

The overall prevalence of drug utilization was 65.9%. The highest prevalences of drug use after adjusting for confounding were seen among elderly women in the upper economic class who had ill health self-perception. Analgesics, anti-inflammatory and anti-hypertensive drugs were the most frequently used drugs.

CONCLUSIONS

The prevalence of drug use was found to be higher than in other national and international studies. Studies focusing on individual determinants of drug utilization can identify those groups with higher use. This knowledge might encourage specific strategies to decrease drug use and lead to restrictive policies concerning drug prescription and sale.

摘要

目的

研究药物使用的流行病学模式及其个体决定因素,并将所使用的药物分类为药理学组。

方法

在一项基于人群的横断面研究中,采用多阶段抽样设计从巴西南部的一个城市地区选取了3182名20岁及以上的受试者。通过使用结构化问卷进行家庭访谈收集数据。记录前15天的药物使用情况。使用卡方检验进行异质性和趋势的粗分析,使用t检验进行均值比较。使用泊松回归进行调整分析。

结果

药物使用的总体患病率为65.9%。在调整混杂因素后,药物使用患病率最高的是经济阶层较高、自我感觉健康状况不佳的老年女性。镇痛药、抗炎药和抗高血压药是最常用的药物。

结论

发现药物使用患病率高于其他国内和国际研究。关注药物使用个体决定因素的研究可以识别出药物使用较高的群体。这些知识可能会促使采取具体策略来减少药物使用,并导致有关药物处方和销售的限制性政策。

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