Hessami Amirhossein, Pourali Ava, Saeedi Majid, Ghara Ali Asghar Nadi, Kheradmand Motahareh, Moosazadeh Mahmood
Non-Communicable Disease Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Department of Pharmaceutics, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran.
BMC Public Health. 2025 Aug 27;25(1):2947. doi: 10.1186/s12889-025-24005-3.
Non-steroidal anti-inflammatory drugs (NSAIDs) are widely used for managing pain and inflammatory conditions. However, their usage patterns and associated risk factors in the general population remain insufficiently understood, particularly in the Iranian context. This study aims to explore the epidemiological and clinical factors associated with NSAID consumption in a population-based cohort.
In this cross-sectional study, data from the enrollment phase of the Tabari Cohort Study, encompassing 9,939 participants aged 35-70 years, were analyzed. NSAIDs usage was assessed based on self-reported consumption for at least 30 days. Logistic regression models were employed to identify demographic, behavioral, and clinical predictors of NSAID use, adjusting for potential confounders.
The prevalence of NSAIDs use was 14.7%, increasing with age, obesity, and the number of comorbidities. Multivariable analysis identified significant predictors, including older age (OR: 5.01 for 60-70 years), obesity (OR: 1.40), urban residence (OR: 1.71), and substance use (OR: 1.34). Comorbid conditions, such as diabetes, hypertension, and coronary heart disease, showed strong associations, with NSAIDs use increasing markedly as the number of chronic conditions rose (OR: 36.35 for seven or more comorbidities, P for trend < 0.001).
This study highlights the high prevalence of NSAIDs use and its association with demographic and clinical factors. The findings underscore the need for careful monitoring of NSAID consumption, particularly among individuals with multiple comorbidities, to mitigate risks and optimize pain management strategies.
非甾体抗炎药（NSAIDs）被广泛用于管理疼痛和炎症性疾病。然而，普通人群中它们的使用模式和相关风险因素仍未得到充分了解，尤其是在伊朗的背景下。本研究旨在探讨基于人群队列中与非甾体抗炎药消费相关的流行病学和临床因素。
在这项横断面研究中，分析了塔巴里队列研究入组阶段的数据，该研究涵盖9939名年龄在35 - 70岁的参与者。非甾体抗炎药的使用是根据自我报告的至少30天的消费情况进行评估的。采用逻辑回归模型来确定非甾体抗炎药使用的人口统计学、行为和临床预测因素，并对潜在的混杂因素进行调整。
非甾体抗炎药的使用率为14.7%，随着年龄、肥胖和合并症数量的增加而上升。多变量分析确定了显著的预测因素，包括老年（60 - 70岁的比值比：5.01）、肥胖（比值比：1.40）、城市居住（比值比：1.71）和物质使用（比值比：1.34）。合并症，如糖尿病、高血压和冠心病，显示出很强的关联，随着慢性病数量的增加，非甾体抗炎药的使用显著增加（七种或更多合并症的比值比：36.35，趋势P值<0.001）。
本研究强调了非甾体抗炎药使用的高患病率及其与人口统计学和临床因素的关联。研究结果强调需要仔细监测非甾体抗炎药的消费情况，特别是在患有多种合并症的个体中，并优化疼痛管理策略以降低风险。
