Abrishami Golbarg, Emadzadeh Maryam, Bakhshi Aida, Moeinipour Yasamin, Taghavi Ghazaleh, Hasani Solmaz
Department of Internal Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Clinical Research Development Unit, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran.
BMC Endocr Disord. 2025 Feb 13;25(1):40. doi: 10.1186/s12902-025-01869-5.
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.
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.
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.
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.
甲状腺结节是常见的临床发现，具有恶变的可能性，在老年人群中尤为如此。以相互关联的代谢异常为特征的代谢综合征被认为是一种潜在的危险因素。本研究利用一个大型队列的数据，探讨甲状腺结节的患病率及其与代谢综合征的关联。
在马什哈德的波斯组织队列中进行了一项横断面研究，纳入了4121名年龄在35至70岁之间的参与者。通过超声检查确定甲状腺结节，并使用美国国家胆固醇教育计划成人治疗组第三次报告（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。
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<0.001）。有结节的个体的平均年龄显著高于无结节的个体（47.9岁对43.5岁，p<0.001）。甲状腺结节患者的代谢综合征患病率明显更高（5.3%对3.8%，p=0.028）。逻辑回归分析确定代谢综合征（比值比[OR]=1.43，p=0.03）、年龄（每年增加OR=1.05，p<0.001）和性别是甲状腺结节的重要预测因素。
代谢综合征显著预测甲状腺结节的存在，提示存在共同的病理生理机制，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，并突出了采用多学科方法优化护理和预防策略的必要性。
