关键词: Irrational drug use Medication profile Polypharmacy Socioeconomic status

Mesh : Male Humans Female Aged Polypharmacy Cohort Studies Urban Population Prevalence Cross-Sectional Studies

来  源:   DOI:10.34172/aim.2023.24   PDF(Pubmed)

Abstract:
Although polypharmacy is considered a major predictor of irrational use of drugs, little is known about polypharmacy in developing regions. We aimed to indicate the prevalence and correlates of polypharmacy and to determine the medication profile at the population level in southern Iran.
In this cross-sectional study, we analyzed data from participants of the Pars Cohort Study (PCS) (aged above 40 years, N=9269). Polypharmacy was defined as using five or more medications concurrently. A Poisson multivariable model was applied to estimate the adjusted prevalence ratios (APRs) of various risk factors. The Anatomical Therapeutic Chemical (ATC) classification system was used for classifying medications.
Prevalence of polypharmacy was 10.4%, (95% CI: 9.75; 11.08) and it was higher among females (15.0%), older adults (age≥65 years) (16.0%), and individuals with more than two chronic conditions (31%). Being female, educated, married, and not having a low socio-economic class were independently associated with a higher likelihood of polypharmacy. The most prevalent medications among female participants were sex hormones and modulators of the genital system (58.4%), drugs for acid-related disorders (14.6%), and anti-anemic preparations (13.6%,). On the other hand, males were using acid-related disorders (14.6%), anti-inflammatory and anti-rheumatic products (7.8%), and beta-blocking agents (6.3%).
The prevalence of polypharmacy in our sample was relatively low, especially among males. Cardiovascular drugs, acid suppressants, hormonal contraceptives, and anti-anemic preparations are drug classes with the highest contribution to polypharmacy.
摘要:
尽管多重用药被认为是不合理使用药物的主要预测因素,对发展中地区的多重制药知之甚少。我们旨在表明多种药物的患病率和相关性,并确定伊朗南部人口水平的药物概况。
在这项横断面研究中,我们分析了Pars队列研究(PCS)参与者的数据(年龄在40岁以上,N=9269)。多重用药被定义为同时使用五种或更多种药物。应用泊松多变量模型来估计各种危险因素的调整患病率比(APRs)。使用解剖治疗化学(ATC)分类系统对药物进行分类。
多重用药的患病率为10.4%,(95%CI:9.75;11.08),女性较高(15.0%),老年人(年龄≥65岁)(16.0%),以及患有两种以上慢性疾病的个体(31%)。作为女性,受过教育,已婚,并且没有较低的社会经济阶层与较高的多重用药可能性独立相关。女性参与者中最普遍的药物是性激素和生殖系统调节剂(58.4%),酸相关疾病的药物(14.6%),和抗贫血制剂(13.6%,).另一方面,男性使用酸相关疾病(14.6%),抗炎及抗风湿产品(7.8%),和β-阻断剂(6.3%)。
我们的样本中多重用药的患病率相对较低,尤其是男性。心血管药物,酸抑制剂,荷尔蒙避孕药,抗贫血制剂是对多重用药贡献最大的药物类别。
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