Risk Analysis of Thyroid Cancer in China: A Spatial Analysis

Yu Wang, Wenhui Wang, Peng Li, Xin Qi () and Wenbiao Hu
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Yu Wang: School of Public Health, Xi’an Jiaotong University, Xi’an 710061, China
Wenhui Wang: School of Public Health, Xi’an Jiaotong University, Xi’an 710061, China
Peng Li: School of Public Health, Xi’an Jiaotong University, Xi’an 710061, China
Xin Qi: School of Public Health, Xi’an Jiaotong University, Xi’an 710061, China
Wenbiao Hu: School of Public Health, Queensland University of Technology, Brisbane, QLD 4059, Australia

Geographies, 2022, vol. 2, issue 4, 1-16

Abstract: Thyroid cancer (TC) is the fastest growing cancer in China and has lots of influencing factors which can be intervened to reduce its incidence. In this article, we aimed to identify the risk factors of TC. The regional TC data in 2016 were obtained from the China Cancer Registry Annual Report published by the National Cancer Center (NCC). Univariate correlation analysis and generalized linear Poisson regression analysis were used to determine risk factors for morbidity of TC from the provincial and prefecture levels. High urbanization rate (UR) (RR = 1.109, 95%CI: 1.084, 1.135), high GDP per capita (PGDP) (RR = 1.013, 95%CI: 1.007, 1.018), high aquatic products (RR = 1.047, 95%CI: 1.020, 1.075) and dry and fresh fruit consumption (RR = 1.024, 95%CI: 1.007, 1.040) can increase TC incidence. Therefore, high PGDP, high UR, high aquatic products and dry and fresh fruit consumption were all risk factors for TC incidence. Our results may be helpful for providing analytical ideas and methodological references for the regionalized prevention and control of TC in a targeted manner.

Keywords: thyroid cancer; spatial distribution; risk factors; ecological study (search for similar items in EconPapers)
JEL-codes: Q1 Q15 Q5 Q53 Q54 Q56 Q57 (search for similar items in EconPapers)
Date: 2022
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