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
Abstract 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 pat...
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| Format: | Article |
| Language: | English |
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BMC
2022-01-01
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| Series: | BMC Cancer |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12885-022-09206-y |
| _version_ | 1798024965280235520 |
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| author | Zhaoping Zang Yong Liu Jialin Wang Yuqin Liu Shaokai Zhang Yongzhen Zhang Liwei Zhang Deli Zhao Fugang Liu Lina Chao Xinzheng Wang Chunli Zhang Guohui Song Zhiyi Zhang Youpeng Li Zheng Yan Yongxiu Wen Yinyin Ge Chen Niu Wei Feng Rena Nakyeyune Yi Shen Yi Shao Xiuhua Guo Aiming Yang Fen Liu Guiqi Wang |
| author_facet | Zhaoping Zang Yong Liu Jialin Wang Yuqin Liu Shaokai Zhang Yongzhen Zhang Liwei Zhang Deli Zhao Fugang Liu Lina Chao Xinzheng Wang Chunli Zhang Guohui Song Zhiyi Zhang Youpeng Li Zheng Yan Yongxiu Wen Yinyin Ge Chen Niu Wei Feng Rena Nakyeyune Yi Shen Yi Shao Xiuhua Guo Aiming Yang Fen Liu Guiqi Wang |
| author_sort | Zhaoping Zang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-11T18:11:10Z |
| format | Article |
| id | doaj.art-bddfb9d9e9f248bead7ee1a681cacac7 |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-04-11T18:11:10Z |
| publishDate | 2022-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj.art-bddfb9d9e9f248bead7ee1a681cacac72022-12-22T04:10:07ZengBMCBMC Cancer1471-24072022-01-0122111410.1186/s12885-022-09206-yDietary 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 analysisZhaoping Zang0Yong Liu1Jialin Wang2Yuqin Liu3Shaokai Zhang4Yongzhen Zhang5Liwei Zhang6Deli Zhao7Fugang Liu8Lina Chao9Xinzheng Wang10Chunli Zhang11Guohui Song12Zhiyi Zhang13Youpeng Li14Zheng Yan15Yongxiu Wen16Yinyin Ge17Chen Niu18Wei Feng19Rena Nakyeyune20Yi Shen21Yi Shao22Xiuhua Guo23Aiming Yang24Fen Liu25Guiqi Wang26Department of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical UniversityDepartment of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeShandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesGansu Provincial Cancer HospitalDepartment of Cancer Epidemiology and Prevention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer HospitalDepartment of Epidemiology, Shanxi Cancer HospitalThe Fourth Hospital of Hebei Medical UniversityFeicheng People’s HospitalDongping People’s HospitalDepartment of Epidemiology, Hebi People’s HospitalYangcheng Cancer HospitalThe First People’s Hospital of Ningyang CountyCixian Institute for Cancer Prevention and ControlGansu Wuwei Cancer HospitalMinqin County People’s HospitalLinze County People’s HospitalShandan County People’s HospitalGaotai County People’s HospitalDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical UniversityDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical UniversityDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical UniversityDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical UniversityDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical UniversityDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical UniversityDepartment of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical SciencesDepartment of Epidemiology and Health Statistics, School of Public Health, Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical UniversityDepartment of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeAbstract 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.https://doi.org/10.1186/s12885-022-09206-yEsophageal squamous cell carcinomaPrecancerous lesionsLatent class analysisDietary patternsSymptom |
| spellingShingle | Zhaoping Zang Yong Liu Jialin Wang Yuqin Liu Shaokai Zhang Yongzhen Zhang Liwei Zhang Deli Zhao Fugang Liu Lina Chao Xinzheng Wang Chunli Zhang Guohui Song Zhiyi Zhang Youpeng Li Zheng Yan Yongxiu Wen Yinyin Ge Chen Niu Wei Feng Rena Nakyeyune Yi Shen Yi Shao Xiuhua Guo Aiming Yang Fen Liu Guiqi Wang 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 BMC Cancer Esophageal squamous cell carcinoma Precancerous lesions Latent class analysis Dietary patterns Symptom |
| 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 | Esophageal squamous cell carcinoma Precancerous lesions Latent class analysis Dietary patterns Symptom |
| url | https://doi.org/10.1186/s12885-022-09206-y |
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