Prevalence and predictors of thyroid nodules among adults: analyzing the association with metabolic syndrome in a cross-sectional study.

IF 2.8 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Golbarg Abrishami, Maryam Emadzadeh, Aida Bakhshi, Yasamin Moeinipour, Ghazaleh Taghavi, Solmaz Hasani
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引用次数: 0

Abstract

Background: Thyroid nodules are prevalent clinical findings with potential for malignancy, particularly in aging populations. Metabolic syndrome, characterized by interrelated metabolic abnormalities, has been implicated as a potential risk factor. This study explores the prevalence of thyroid nodules and their association with metabolic syndrome, leveraging data from a large cohort.

Methods: A cross-sectional study was conducted within the Persian Organizational Cohort in Mashhad, comprising 4,121 participants aged 35-70 years. Thyroid nodules were identified via ultrasonography, and metabolic syndrome was assessed using the NCEP ATP III criteria. Demographic, clinical, and laboratory data were analyzed using descriptive statistics, chi-square tests, and logistic regression models to identify predictors of thyroid nodules.

Results: Thyroid nodules were detected in 27.4% of participants, with a higher prevalence in females (60%) than males (40%, p < 0.001). The average age of individuals with nodules was significantly higher than those without (47.9 vs. 43.5 years, p < 0.001). Metabolic syndrome prevalence was notably higher among those with thyroid nodules (5.3% vs. 3.8%, p = 0.028). Logistic regression analysis identified metabolic syndrome (OR = 1.43, p = 0.03), age (OR = 1.05 per year increase, p < 0.001), and gender as significant predictors of thyroid nodules.

Conclusion: Metabolic syndrome significantly predicts the presence of thyroid nodules, suggesting shared pathophysiological mechanisms, including chronic inflammation and hormonal dysregulation. These findings underscore the importance of integrating metabolic health management into thyroid nodule evaluation and highlight the need for multidisciplinary approaches to optimize care and prevention strategies.

成人甲状腺结节的患病率和预测因素:在一项横断面研究中分析与代谢综合征的关系
背景:甲状腺结节是常见的临床表现,具有潜在的恶性肿瘤,特别是在老年人群中。代谢综合征以相关代谢异常为特征,已被认为是一个潜在的危险因素。本研究利用大量队列数据,探讨甲状腺结节的患病率及其与代谢综合征的关系。方法:在马什哈德的波斯组织队列中进行横断面研究,包括4121名年龄在35-70岁之间的参与者。通过超声检查确定甲状腺结节,并使用NCEP ATP III标准评估代谢综合征。使用描述性统计、卡方检验和逻辑回归模型分析人口统计学、临床和实验室数据,以确定甲状腺结节的预测因素。结果:27.4%的参与者检测到甲状腺结节,女性患病率(60%)高于男性(40%)。p结论:代谢综合征显著预测甲状腺结节的存在,提示共享的病理生理机制,包括慢性炎症和激素失调。这些发现强调了将代谢健康管理纳入甲状腺结节评估的重要性,并强调了多学科方法来优化护理和预防策略的必要性。
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来源期刊
BMC Endocrine Disorders
BMC Endocrine Disorders ENDOCRINOLOGY & METABOLISM-
CiteScore
4.40
自引率
0.00%
发文量
280
审稿时长
>12 weeks
期刊介绍: BMC Endocrine Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of endocrine disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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