Journal of Hebei Medical University

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Survey on the prevalence of thyroid nodules among different sexes in rural population in Longnan area of Gansu

  

  1. 1.Department of Endocrinology, the First Hospital of Lanzhou University, Gansu Prvince, Langzhou 
    730000,  China; 2.Department of Endocrinology, the First Hospital of Longnan City, Gansu Province,
    Longnan 730460,  China; 3.Department of Endocrinology, the First Affiliated Hospital of
    China Medical University, Liaoning Province, Shenyang  101100,  China
  • Online:2020-02-25 Published:2020-03-13

Abstract: 〗[Abstract] Objective To investigate the prevalence of thyroid nodules in rural population in Longnan area of Gansu.
Methods A stratified cluster sampling method was used to conduct a cross-sectional survey of the area. We analyzed the detection rate of thyroid nodules in different gender, age, and thyroid function groups, and used Logistic regression to analyze the risk factors of thyroid nodules.
Results A total of 214 thyroid nodules were detected in 1 289 subjects in Longnan, Gansu. The overall prevalence was 16.60%(214/1 289), and the prevalence of male and female were 13.04%(84/644) and 20.16%(130/645), and the prevalence of female significantly higher than male, the difference was statistically significant(P<0.05). With the increased of age, the prevalence of thyroid nodules in male and female increased gradually(P<0.05), and the prevalence of female was significantly higher in men≥60 years(P<0.05). In male and female, the detection rates of nodules in the abnormal thyroid function group were significantly higher than in the normal thyroid function group, and the differences were statistically significant(P<0.05). Logistic regression showed that age≥ 60 and smoking were risk factors for thyroid nodules.
Conclusion The detection rate of thyroid nodules in women in Longnan region of Gansu is higher than that of men, and it gradually increases with age. Abnormal thyroid function may affect the occurrence of thyroid nodules

Key words: thyroid no dule, prevalence; Logistic Models