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CN 34-1304/RISSN 1674-3679

Volume 25 Issue 3
Mar.  2021
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FENG Xiang, SONG Tong-qiu, QIAN Dong-fu, ZHOU Qin, SHI Ai-wu, WEI Wen-qiang, ZHOU Jin-yi, HUA Zhao-lai. Current status and clustering analysis of risk factors in high-risk groups of esophageal cancer in Yangzhong City, Jiangsu Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(3): 317-322. doi: 10.16462/j.cnki.zhjbkz.2021.03.013
Citation: FENG Xiang, SONG Tong-qiu, QIAN Dong-fu, ZHOU Qin, SHI Ai-wu, WEI Wen-qiang, ZHOU Jin-yi, HUA Zhao-lai. Current status and clustering analysis of risk factors in high-risk groups of esophageal cancer in Yangzhong City, Jiangsu Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(3): 317-322. doi: 10.16462/j.cnki.zhjbkz.2021.03.013

Current status and clustering analysis of risk factors in high-risk groups of esophageal cancer in Yangzhong City, Jiangsu Province

doi: 10.16462/j.cnki.zhjbkz.2021.03.013
Funds:

National Key Research and Development Program of China National Key Research and Development Program of China

National Key Research and Development Program of China 2016YFC1302800

Joint Growth Plan for Chinese Doctors of Early Gastrointestinal Cancer GTCZ-2020-JS-32-0003

Guiding Science and Technology Plan Project of Social Development in Zhenjiang City FZ2020023

  • Received Date: 2020-08-13
  • Rev Recd Date: 2020-12-17
  • Publish Date: 2021-03-10
  •   Objective  To analyze the prevalence and clustering of esophageal cancer risk factors and explore the influencing factors of its clustering among high-risk groups of esophageal cancer in Yangzhong, Jiangsu Province.  Methods  Relying on the early diagnosis and treatment of upper gastrointestinal cancer and esophageal cancer-specific disease cohort project, we used multi-stage stratified cluster sampling and 2 591 high-risk populations aged 40 to 69 years old were selected for a one-to-one interview survey. Univariate Logistic regression analysis and multivariate Logistic regression analysis were used to explore the influencing factors of risk clustering.  Results  The prevalence rates of smoking, drinking, hot diet intake, eating too fast, indoor air pollution, teeth loss among participants were 22.27%, 17.79%, 16.79%, 26.94%, 18.45%, 32.15% and 40.22%, respectively. The most common clustering patterns of risk factors were indoor air pollution + teeth loss, smoking + drinking and eating too fast + teeth loss. Multivariate Logistic regression analysis showed that the risk factors clustering was higher among men, older, low-educated, and rural high-risk groups (all P < 0.05).  Conclusions  The exposure of some risk factors among high-risk populations of esophageal cancer in Yangzhong City is still at a relatively high level, and there is an apparent clustering of risk factors. Males, the elder, residents with low education level and in rural areas are the key groups for the prevention and control of esophageal cancer.
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