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...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhaoping Zang [verfasserIn] Yong Liu [verfasserIn] Jialin Wang [verfasserIn] Yuqin Liu [verfasserIn] Shaokai Zhang [verfasserIn] Yongzhen Zhang [verfasserIn] Liwei Zhang [verfasserIn] Deli Zhao [verfasserIn] Fugang Liu [verfasserIn] Lina Chao [verfasserIn] Xinzheng Wang [verfasserIn] Chunli Zhang [verfasserIn] Guohui Song [verfasserIn] Zhiyi Zhang [verfasserIn] Youpeng Li [verfasserIn] Zheng Yan [verfasserIn] Yongxiu Wen [verfasserIn] Yinyin Ge [verfasserIn] Chen Niu [verfasserIn] Wei Feng [verfasserIn] Rena Nakyeyune [verfasserIn] Yi Shen [verfasserIn] Yi Shao [verfasserIn] Xiuhua Guo [verfasserIn] Aiming Yang [verfasserIn] Fen Liu [verfasserIn] Guiqi Wang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: BMC Cancer - BMC, 2003, 22(2022), 1, Seite 14 |
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| Übergeordnetes Werk: |
volume:22 ; year:2022 ; number:1 ; pages:14 |
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| DOI / URN: |
10.1186/s12885-022-09206-y |
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| Katalog-ID: |
DOAJ086619977 |
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| 245 | 1 | 0 | |a 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 |
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| 520 | |a 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. | ||
| 650 | 4 | |a Esophageal squamous cell carcinoma | |
| 650 | 4 | |a Precancerous lesions | |
| 650 | 4 | |a Latent class analysis | |
| 650 | 4 | |a Dietary patterns | |
| 650 | 4 | |a Symptom | |
| 653 | 0 | |a Neoplasms. Tumors. Oncology. Including cancer and carcinogens | |
| 700 | 0 | |a Yong Liu |e verfasserin |4 aut | |
| 700 | 0 | |a Jialin Wang |e verfasserin |4 aut | |
| 700 | 0 | |a Yuqin Liu |e verfasserin |4 aut | |
| 700 | 0 | |a Shaokai Zhang |e verfasserin |4 aut | |
| 700 | 0 | |a Yongzhen Zhang |e verfasserin |4 aut | |
| 700 | 0 | |a Liwei Zhang |e verfasserin |4 aut | |
| 700 | 0 | |a Deli Zhao |e verfasserin |4 aut | |
| 700 | 0 | |a Fugang Liu |e verfasserin |4 aut | |
| 700 | 0 | |a Lina Chao |e verfasserin |4 aut | |
| 700 | 0 | |a Xinzheng Wang |e verfasserin |4 aut | |
| 700 | 0 | |a Chunli Zhang |e verfasserin |4 aut | |
| 700 | 0 | |a Guohui Song |e verfasserin |4 aut | |
| 700 | 0 | |a Zhiyi Zhang |e verfasserin |4 aut | |
| 700 | 0 | |a Youpeng Li |e verfasserin |4 aut | |
| 700 | 0 | |a Zheng Yan |e verfasserin |4 aut | |
| 700 | 0 | |a Yongxiu Wen |e verfasserin |4 aut | |
| 700 | 0 | |a Yinyin Ge |e verfasserin |4 aut | |
| 700 | 0 | |a Chen Niu |e verfasserin |4 aut | |
| 700 | 0 | |a Wei Feng |e verfasserin |4 aut | |
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| 700 | 0 | |a Fen Liu |e verfasserin |4 aut | |
| 700 | 0 | |a Guiqi Wang |e verfasserin |4 aut | |
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10.1186/s12885-022-09206-y doi (DE-627)DOAJ086619977 (DE-599)DOAJbddfb9d9e9f248bead7ee1a681cacac7 DE-627 ger DE-627 rakwb eng RC254-282 Zhaoping Zang verfasserin aut 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 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Esophageal squamous cell carcinoma Precancerous lesions Latent class analysis Dietary patterns Symptom Neoplasms. Tumors. Oncology. Including cancer and carcinogens Yong Liu verfasserin aut Jialin Wang verfasserin aut Yuqin Liu verfasserin aut Shaokai Zhang verfasserin aut Yongzhen Zhang verfasserin aut Liwei Zhang verfasserin aut Deli Zhao verfasserin aut Fugang Liu verfasserin aut Lina Chao verfasserin aut Xinzheng Wang verfasserin aut Chunli Zhang verfasserin aut Guohui Song verfasserin aut Zhiyi Zhang verfasserin aut Youpeng Li verfasserin aut Zheng Yan verfasserin aut Yongxiu Wen verfasserin aut Yinyin Ge verfasserin aut Chen Niu verfasserin aut Wei Feng verfasserin aut Rena Nakyeyune verfasserin aut Yi Shen verfasserin aut Yi Shao verfasserin aut Xiuhua Guo verfasserin aut Aiming Yang verfasserin aut Fen Liu verfasserin aut Guiqi Wang verfasserin aut In BMC Cancer BMC, 2003 22(2022), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:22 year:2022 number:1 pages:14 https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/article/bddfb9d9e9f248bead7ee1a681cacac7 kostenfrei https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 |
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10.1186/s12885-022-09206-y doi (DE-627)DOAJ086619977 (DE-599)DOAJbddfb9d9e9f248bead7ee1a681cacac7 DE-627 ger DE-627 rakwb eng RC254-282 Zhaoping Zang verfasserin aut 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 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Esophageal squamous cell carcinoma Precancerous lesions Latent class analysis Dietary patterns Symptom Neoplasms. Tumors. Oncology. Including cancer and carcinogens Yong Liu verfasserin aut Jialin Wang verfasserin aut Yuqin Liu verfasserin aut Shaokai Zhang verfasserin aut Yongzhen Zhang verfasserin aut Liwei Zhang verfasserin aut Deli Zhao verfasserin aut Fugang Liu verfasserin aut Lina Chao verfasserin aut Xinzheng Wang verfasserin aut Chunli Zhang verfasserin aut Guohui Song verfasserin aut Zhiyi Zhang verfasserin aut Youpeng Li verfasserin aut Zheng Yan verfasserin aut Yongxiu Wen verfasserin aut Yinyin Ge verfasserin aut Chen Niu verfasserin aut Wei Feng verfasserin aut Rena Nakyeyune verfasserin aut Yi Shen verfasserin aut Yi Shao verfasserin aut Xiuhua Guo verfasserin aut Aiming Yang verfasserin aut Fen Liu verfasserin aut Guiqi Wang verfasserin aut In BMC Cancer BMC, 2003 22(2022), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:22 year:2022 number:1 pages:14 https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/article/bddfb9d9e9f248bead7ee1a681cacac7 kostenfrei https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 |
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10.1186/s12885-022-09206-y doi (DE-627)DOAJ086619977 (DE-599)DOAJbddfb9d9e9f248bead7ee1a681cacac7 DE-627 ger DE-627 rakwb eng RC254-282 Zhaoping Zang verfasserin aut 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 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Esophageal squamous cell carcinoma Precancerous lesions Latent class analysis Dietary patterns Symptom Neoplasms. Tumors. Oncology. Including cancer and carcinogens Yong Liu verfasserin aut Jialin Wang verfasserin aut Yuqin Liu verfasserin aut Shaokai Zhang verfasserin aut Yongzhen Zhang verfasserin aut Liwei Zhang verfasserin aut Deli Zhao verfasserin aut Fugang Liu verfasserin aut Lina Chao verfasserin aut Xinzheng Wang verfasserin aut Chunli Zhang verfasserin aut Guohui Song verfasserin aut Zhiyi Zhang verfasserin aut Youpeng Li verfasserin aut Zheng Yan verfasserin aut Yongxiu Wen verfasserin aut Yinyin Ge verfasserin aut Chen Niu verfasserin aut Wei Feng verfasserin aut Rena Nakyeyune verfasserin aut Yi Shen verfasserin aut Yi Shao verfasserin aut Xiuhua Guo verfasserin aut Aiming Yang verfasserin aut Fen Liu verfasserin aut Guiqi Wang verfasserin aut In BMC Cancer BMC, 2003 22(2022), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:22 year:2022 number:1 pages:14 https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/article/bddfb9d9e9f248bead7ee1a681cacac7 kostenfrei https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 |
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10.1186/s12885-022-09206-y doi (DE-627)DOAJ086619977 (DE-599)DOAJbddfb9d9e9f248bead7ee1a681cacac7 DE-627 ger DE-627 rakwb eng RC254-282 Zhaoping Zang verfasserin aut 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 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Esophageal squamous cell carcinoma Precancerous lesions Latent class analysis Dietary patterns Symptom Neoplasms. Tumors. Oncology. Including cancer and carcinogens Yong Liu verfasserin aut Jialin Wang verfasserin aut Yuqin Liu verfasserin aut Shaokai Zhang verfasserin aut Yongzhen Zhang verfasserin aut Liwei Zhang verfasserin aut Deli Zhao verfasserin aut Fugang Liu verfasserin aut Lina Chao verfasserin aut Xinzheng Wang verfasserin aut Chunli Zhang verfasserin aut Guohui Song verfasserin aut Zhiyi Zhang verfasserin aut Youpeng Li verfasserin aut Zheng Yan verfasserin aut Yongxiu Wen verfasserin aut Yinyin Ge verfasserin aut Chen Niu verfasserin aut Wei Feng verfasserin aut Rena Nakyeyune verfasserin aut Yi Shen verfasserin aut Yi Shao verfasserin aut Xiuhua Guo verfasserin aut Aiming Yang verfasserin aut Fen Liu verfasserin aut Guiqi Wang verfasserin aut In BMC Cancer BMC, 2003 22(2022), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:22 year:2022 number:1 pages:14 https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/article/bddfb9d9e9f248bead7ee1a681cacac7 kostenfrei https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 |
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10.1186/s12885-022-09206-y doi (DE-627)DOAJ086619977 (DE-599)DOAJbddfb9d9e9f248bead7ee1a681cacac7 DE-627 ger DE-627 rakwb eng RC254-282 Zhaoping Zang verfasserin aut 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 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. Esophageal squamous cell carcinoma Precancerous lesions Latent class analysis Dietary patterns Symptom Neoplasms. Tumors. Oncology. Including cancer and carcinogens Yong Liu verfasserin aut Jialin Wang verfasserin aut Yuqin Liu verfasserin aut Shaokai Zhang verfasserin aut Yongzhen Zhang verfasserin aut Liwei Zhang verfasserin aut Deli Zhao verfasserin aut Fugang Liu verfasserin aut Lina Chao verfasserin aut Xinzheng Wang verfasserin aut Chunli Zhang verfasserin aut Guohui Song verfasserin aut Zhiyi Zhang verfasserin aut Youpeng Li verfasserin aut Zheng Yan verfasserin aut Yongxiu Wen verfasserin aut Yinyin Ge verfasserin aut Chen Niu verfasserin aut Wei Feng verfasserin aut Rena Nakyeyune verfasserin aut Yi Shen verfasserin aut Yi Shao verfasserin aut Xiuhua Guo verfasserin aut Aiming Yang verfasserin aut Fen Liu verfasserin aut Guiqi Wang verfasserin aut In BMC Cancer BMC, 2003 22(2022), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:22 year:2022 number:1 pages:14 https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/article/bddfb9d9e9f248bead7ee1a681cacac7 kostenfrei https://doi.org/10.1186/s12885-022-09206-y kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 22 2022 1 14 |
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Zhaoping Zang @@aut@@ Yong Liu @@aut@@ Jialin Wang @@aut@@ Yuqin Liu @@aut@@ Shaokai Zhang @@aut@@ Yongzhen Zhang @@aut@@ Liwei Zhang @@aut@@ Deli Zhao @@aut@@ Fugang Liu @@aut@@ Lina Chao @@aut@@ Xinzheng Wang @@aut@@ Chunli Zhang @@aut@@ Guohui Song @@aut@@ Zhiyi Zhang @@aut@@ Youpeng Li @@aut@@ Zheng Yan @@aut@@ Yongxiu Wen @@aut@@ Yinyin Ge @@aut@@ Chen Niu @@aut@@ Wei Feng @@aut@@ Rena Nakyeyune @@aut@@ Yi Shen @@aut@@ Yi Shao @@aut@@ Xiuhua Guo @@aut@@ Aiming Yang @@aut@@ Fen Liu @@aut@@ Guiqi Wang @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ086619977</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230311052252.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230311s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s12885-022-09206-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ086619977</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJbddfb9d9e9f248bead7ee1a681cacac7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC254-282</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Zhaoping Zang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">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</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Esophageal squamous cell carcinoma</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Precancerous lesions</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Latent class analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dietary patterns</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Symptom</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neoplasms. Tumors. 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Zhaoping Zang |
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Zhaoping Zang misc RC254-282 misc Esophageal squamous cell carcinoma misc Precancerous lesions misc Latent class analysis misc Dietary patterns misc Symptom misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens 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 |
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RC254-282 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 Esophageal squamous cell carcinoma Precancerous lesions Latent class analysis Dietary patterns Symptom |
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misc RC254-282 misc Esophageal squamous cell carcinoma misc Precancerous lesions misc Latent class analysis misc Dietary patterns misc Symptom misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
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misc RC254-282 misc Esophageal squamous cell carcinoma misc Precancerous lesions misc Latent class analysis misc Dietary patterns misc Symptom misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
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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 |
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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 |
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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 |
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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 |
| abstract |
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. |
| abstractGer |
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. |
| abstract_unstemmed |
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. |
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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 |
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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 |
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10.1186/s12885-022-09206-y |
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2024-07-03T21:46:27.166Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ086619977</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230311052252.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230311s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/s12885-022-09206-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ086619977</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJbddfb9d9e9f248bead7ee1a681cacac7</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC254-282</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Zhaoping Zang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">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</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Esophageal squamous cell carcinoma</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Precancerous lesions</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Latent class analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dietary patterns</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Symptom</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neoplasms. Tumors. 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