Correlation between the change track of metabolic syndrome index and thyroid nodules in individuals receiving health examinations
10.3760/cma.j.cn115624-20240611-00483
- VernacularTitle:健康体检者代谢综合征指标变化轨迹与甲状腺结节的相关性
- Author:
Xiaojin HU
1
;
Shanshan GE
;
Caizheng YANG
;
Jianyu DONG
;
Shuhui LI
;
Ruiling LI
Author Information
1. 山西医科大学第一医院健康管理科，太原 030001
- Publication Type:Journal Article
- Keywords:
Metabolic syndrome;
Thyroid nodules;
Trajectory;
Vertical research;
Cohort study
- From:
Chinese Journal of Health Management
2025;19(2):112-118
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the correlation between metabolic syndrome indexes and thyroid nodules in individuals receiving health examinations.Methods:It′s a retrospective cohort study. A total of 2 678 individuals who received health examinations in the Health Management Center of the First Hospital of Shanxi Medical University for four consecutive years and met the admission criteria were selected as the research objects. According to the metabolic syndrome index data of health examination, according to the different duration of metabolic syndrome during the observation period, the group-based trajectory model, Bayesian information criterion and average posterior grouping probability were used to determine the best trajectory groups, and the objects were divided into three different metabolic syndrome index trajectory groups: normal, abnormal and recovery group. During the physical examination in 2022 and 2023, the detection of thyroid nodules in each group was followed up, and the difference of detection rate of thyroid nodules in different metabolic syndrome trajectory groups was compared by Log-rank test, and the correlation between different metabolic syndrome index change trajectories and thyroid nodules was analyzed by logistic regression model.Results:The cumulative detection rate of thyroid nodules in normal group, abnormal group and recovery group was 18.8% (77/410), 27.5% (327/1 190) and 24.7% (266/1 078), respectively ( χ2=19.482, P<0.001). In model 4, after adjusting for age, gender, smoking, drinking, staying up late, insomnia, physical activity, family history and other confounding factors, the risk of thyroid nodules in abnormal group and recovery group was still 2.011 times (95% CI: 1.457-2.776) and 2.006 times (95% CI: 1.389-2.897) of that in normal group. Conclusion:There is a positive correlation between metabolic syndrome index and thyroid nodules in individuals receiving health examinations, and metabolic syndrome index can be used as a predictive index of thyroid nodules.
