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Dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional latent class analysis
BACKGROUND: Dietary patterns and symptoms research among Chinese with esophageal squamous cell carcinoma (ESCC) and its precursor lesions is limited, especially as it relates to multiple food consumption and multiple co-occurring symptoms. The aim of our study was to identify the dietary patterns an...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783423/ https://www.ncbi.nlm.nih.gov/pubmed/35062901 http://dx.doi.org/10.1186/s12885-022-09206-y |
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author | Zang, Zhaoping Liu, Yong Wang, Jialin Liu, Yuqin Zhang, Shaokai Zhang, Yongzhen Zhang, Liwei Zhao, Deli Liu, Fugang Chao, Lina Wang, Xinzheng Zhang, Chunli Song, Guohui Zhang, Zhiyi Li, Youpeng Yan, Zheng Wen, Yongxiu Ge, Yinyin Niu, Chen Feng, Wei Nakyeyune, Rena Shen, Yi Shao, Yi Guo, Xiuhua Yang, Aiming Liu, Fen Wang, Guiqi |
author_facet | Zang, Zhaoping Liu, Yong Wang, Jialin Liu, Yuqin Zhang, Shaokai Zhang, Yongzhen Zhang, Liwei Zhao, Deli Liu, Fugang Chao, Lina Wang, Xinzheng Zhang, Chunli Song, Guohui Zhang, Zhiyi Li, Youpeng Yan, Zheng Wen, Yongxiu Ge, Yinyin Niu, Chen Feng, Wei Nakyeyune, Rena Shen, Yi Shao, Yi Guo, Xiuhua Yang, Aiming Liu, Fen Wang, Guiqi |
author_sort | Zang, Zhaoping |
collection | PubMed |
description | BACKGROUND: Dietary patterns and symptoms research among Chinese with esophageal squamous cell carcinoma (ESCC) and its precursor lesions is limited, especially as it relates to multiple food consumption and multiple co-occurring symptoms. The aim of our study was to identify the dietary patterns and severity of symptom classes with the risk of esophageal squamous cell carcinoma and its histological precursor lesions, and develop a risk prediction model for different stages of esophageal disease. METHODS: We analyzed data from a multicenter cross-sectional study carried out in ESCC high incidence areas between 2017 and 2018, which included 34,707 individuals aged 40–69 years. Dietary patterns and severity of symptom classes were derived by applying a latent class analysis (LCA). A multiple logistic regression model was used to derive the odds ratio (ORs) and corresponding 95% confidence intervals (CIs) for ESCC and the different stages of esophageal disease according to the dietary patterns and severity of symptom classes identified. We built the risk prediction model by using a nomogram. RESULTS: We identified five dietary patterns and three severity of symptom classes. The dietary patterns were classified as follows: “Healthy”, “Western”, “Lower consumers-combination”, “Medium consumers-combination” and “Higher consumers-combination” patterns based on the intake of foods such as red meat, vegetables and fruits. The severity of symptoms was categorized into “Asymptomatic”, “Mild symptoms” and “Overt symptoms” classes based on health-related symptoms reported by the participants. Compared to the “Healthy” pattern, the other four patterns were all associated with an increased risk of esophageal disease. Similarly, the other two symptom classes present different degrees of increased risk of esophageal disease compared to the “Asymptomatic”. The nomograms reflect the good predictive ability of the model. CONCLUSION: Among individuals aged 40–69 years in high incidence regions of upper gastrointestinal cancer, the results supplied that subjects with diets rich in livestock and poultry meat and low in fruits and vegetables and subjects with typical symptoms were at increased ESCC risk. The findings highlight the importance of considering food and symptom combinations in cancer risk evaluation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09206-y. |
format | Online Article Text |
id | pubmed-8783423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87834232022-01-24 Dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional latent class analysis Zang, Zhaoping Liu, Yong Wang, Jialin Liu, Yuqin Zhang, Shaokai Zhang, Yongzhen Zhang, Liwei Zhao, Deli Liu, Fugang Chao, Lina Wang, Xinzheng Zhang, Chunli Song, Guohui Zhang, Zhiyi Li, Youpeng Yan, Zheng Wen, Yongxiu Ge, Yinyin Niu, Chen Feng, Wei Nakyeyune, Rena Shen, Yi Shao, Yi Guo, Xiuhua Yang, Aiming Liu, Fen Wang, Guiqi BMC Cancer Research BACKGROUND: Dietary patterns and symptoms research among Chinese with esophageal squamous cell carcinoma (ESCC) and its precursor lesions is limited, especially as it relates to multiple food consumption and multiple co-occurring symptoms. The aim of our study was to identify the dietary patterns and severity of symptom classes with the risk of esophageal squamous cell carcinoma and its histological precursor lesions, and develop a risk prediction model for different stages of esophageal disease. METHODS: We analyzed data from a multicenter cross-sectional study carried out in ESCC high incidence areas between 2017 and 2018, which included 34,707 individuals aged 40–69 years. Dietary patterns and severity of symptom classes were derived by applying a latent class analysis (LCA). A multiple logistic regression model was used to derive the odds ratio (ORs) and corresponding 95% confidence intervals (CIs) for ESCC and the different stages of esophageal disease according to the dietary patterns and severity of symptom classes identified. We built the risk prediction model by using a nomogram. RESULTS: We identified five dietary patterns and three severity of symptom classes. The dietary patterns were classified as follows: “Healthy”, “Western”, “Lower consumers-combination”, “Medium consumers-combination” and “Higher consumers-combination” patterns based on the intake of foods such as red meat, vegetables and fruits. The severity of symptoms was categorized into “Asymptomatic”, “Mild symptoms” and “Overt symptoms” classes based on health-related symptoms reported by the participants. Compared to the “Healthy” pattern, the other four patterns were all associated with an increased risk of esophageal disease. Similarly, the other two symptom classes present different degrees of increased risk of esophageal disease compared to the “Asymptomatic”. The nomograms reflect the good predictive ability of the model. CONCLUSION: Among individuals aged 40–69 years in high incidence regions of upper gastrointestinal cancer, the results supplied that subjects with diets rich in livestock and poultry meat and low in fruits and vegetables and subjects with typical symptoms were at increased ESCC risk. The findings highlight the importance of considering food and symptom combinations in cancer risk evaluation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09206-y. BioMed Central 2022-01-21 /pmc/articles/PMC8783423/ /pubmed/35062901 http://dx.doi.org/10.1186/s12885-022-09206-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zang, Zhaoping Liu, Yong Wang, Jialin Liu, Yuqin Zhang, Shaokai Zhang, Yongzhen Zhang, Liwei Zhao, Deli Liu, Fugang Chao, Lina Wang, Xinzheng Zhang, Chunli Song, Guohui Zhang, Zhiyi Li, Youpeng Yan, Zheng Wen, Yongxiu Ge, Yinyin Niu, Chen Feng, Wei Nakyeyune, Rena Shen, Yi Shao, Yi Guo, Xiuhua Yang, Aiming Liu, Fen Wang, Guiqi Dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional latent class analysis |
title | Dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional latent class analysis |
title_full | Dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional latent class analysis |
title_fullStr | Dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional latent class analysis |
title_full_unstemmed | Dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional latent class analysis |
title_short | Dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional latent class analysis |
title_sort | dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in china: a multicenter cross-sectional latent class analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783423/ https://www.ncbi.nlm.nih.gov/pubmed/35062901 http://dx.doi.org/10.1186/s12885-022-09206-y |
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