Risk factors for thyroid nodules in a health examination population: a cross-sectional study and development of a simplified predictive model

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Authors: Hangtian Yu, Jingle Cao, Jing Han, Yang Li, Wenyu Li, Zihan Li, Jinjia Zhang, Yali Zhang
Cited by: 1
References: 38

Abstract

Background: Thyroid nodules (TNs) are common in adults and have been linked to various metabolic and demographic factors. This study aims to explore the associations between metabolic indicators and TNs in a Chinese health examination population, and to develop a simplified predictive model based on independent risk factors. Methods: We conducted a cross-sectional analysis of 23,305 adults (12,977 men, 10,328 women; aged 18-90 years) who underwent health examinations at the Second Hospital of Hebei Medical University between January 2021 and December 2022. Exclusion criteria included prior thyroid surgery, endocrine or systemic disorders, pregnancy, and incomplete data. Demographic, lifestyle, and biochemical parameters were collected. Group differences were assessed using chi-square tests for categorical variables and t-tests or Mann-Whitney U tests for continuous variables. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors, with model performance evaluated by the area under the receiver operating characteristic curve (AUC). Results: The overall prevalence of TNs was 64.7% (n=15,085). The prevalence increased from 38.8% in those aged 30 years or younger to 87.8% in those older than 70 years (P for trend

Fields of Study & Subjects

Thyroid Cancer Diagnosis and Treatment Thyroid Disorders and Treatments Thyroid and Parathyroid Surgery

Publication details

Journal / source
Frontiers in Endocrinology
Publisher
Frontiers Media SA
Volume
16
Pages
1738544–1738544
Publication date
15 January 2026
Language
EN