Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort study
Background: Evolving evidence suggests both protein consumption and particulate matter less than 2.5 micrometers (PM2.5) might be related to ovarian cancer (OC) mortality. However, no epidemiological studies have explored their potential interaction. Objective: The objective of this study was to exp...
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Elsevier
2025-02-01
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| Series: | Ecotoxicology and Environmental Safety |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651325001344 |
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| author | He-Li Xu Yi-Fan Wei Qi Bao Ya-Li Wang Xiao-Ying Li Dong-Hui Huang Fang-Hua Liu Yi-Zi Li Yue-Yang Zhao Xin-Xin Zhao Qian Xiao Song Gao Ren-Jie Chen Ling Ouyang Xia Meng Xue Qin Ting-Ting Gong Qi-Jun Wu |
| author_facet | He-Li Xu Yi-Fan Wei Qi Bao Ya-Li Wang Xiao-Ying Li Dong-Hui Huang Fang-Hua Liu Yi-Zi Li Yue-Yang Zhao Xin-Xin Zhao Qian Xiao Song Gao Ren-Jie Chen Ling Ouyang Xia Meng Xue Qin Ting-Ting Gong Qi-Jun Wu |
| author_sort | He-Li Xu |
| collection | DOAJ |
| description | Background: Evolving evidence suggests both protein consumption and particulate matter less than 2.5 micrometers (PM2.5) might be related to ovarian cancer (OC) mortality. However, no epidemiological studies have explored their potential interaction. Objective: The objective of this study was to explore the association of dietary protein, PM2.5, and their interaction with the survival of OC patients. Methods: A prospective cohort study was carried out, which encompassed 658 newly diagnosed OC patients (18–79 years) residing in China. Dietary protein intakes were collected through a food frequency questionnaire examination, including total protein and protein from diverse sources. Average residential PM2.5 concentrations were evaluated using satellite-derived models. We calculated the hazard ratio (HR) and its 95 % confidence interval (CI) by adjusting for multiple variables using Cox proportional risk models. By assessing the relative excess risk due to interaction (RERI) arising from the interplay between PM2.5 exposure and dietary protein intake, we explored the additive interaction between the two. Multiplicative interaction was assessed through a cross-product interaction term. Results: During a median follow-up of 37.60 months, 123 deaths were documented. As for all-cause mortality, the multivariate-adjusted HRs (95 % CIs) in the highest vs. the lowest tertile were 0.57 (0.35–0.93), 0.60 (0.36–0.99), and 0.58 (0.37–0.90) for intakes of fish, egg, as well as fruit/vegetable protein, respectively (all P for trend < 0.05). A positive association between PM2.5 exposure and all-cause mortality was observed (HR=1.52; 95 % CI: 1.13–2.05, per interquartile range increment). Notably, dietary fish, egg, and fruit/vegetable protein modified these associations, as patients with lower intakes had significantly higher PM2.5-related mortality in the cohort (all P for interaction < 0.05). Conclusions: This study provides evidence linking the potential interactions between dietary fish, egg, and fruit/vegetable protein intake and PM2.5 exposure on all-cause mortality of OC patients. Our study demonstrates the importance of adherence to a certain protein diet in reducing PM2.5-related mortality risk for OC patients. |
| format | Article |
| id | doaj-art-f7865e644ecd46a9b50791e6c56e497e |
| institution | Kabale University |
| issn | 0147-6513 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
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| series | Ecotoxicology and Environmental Safety |
| spelling | doaj-art-f7865e644ecd46a9b50791e6c56e497e2025-01-31T05:09:59ZengElsevierEcotoxicology and Environmental Safety0147-65132025-02-01291117798Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort studyHe-Li Xu0Yi-Fan Wei1Qi Bao2Ya-Li Wang3Xiao-Ying Li4Dong-Hui Huang5Fang-Hua Liu6Yi-Zi Li7Yue-Yang Zhao8Xin-Xin Zhao9Qian Xiao10Song Gao11Ren-Jie Chen12Ling Ouyang13Xia Meng14Xue Qin15Ting-Ting Gong16Qi-Jun Wu17Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Information Center, The Fourth Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Library, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Hospice Care, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, ChinaDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, ChinaSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, ChinaDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, ChinaSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, ChinaDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; Correspondence to: Department of Clinical Epidemiology, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China No. 36 Sanhao Street, Shenyang, Liaoning, 110001, China.Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; Correspondence to: Department of Clinical Epidemiology, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China No. 36 Sanhao Street, Shenyang, Liaoning, 110001, China.Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China; Correspondence to: Department of Clinical Epidemiology, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China No. 36 Sanhao Street, Shenyang, Liaoning, 110001, China.Background: Evolving evidence suggests both protein consumption and particulate matter less than 2.5 micrometers (PM2.5) might be related to ovarian cancer (OC) mortality. However, no epidemiological studies have explored their potential interaction. Objective: The objective of this study was to explore the association of dietary protein, PM2.5, and their interaction with the survival of OC patients. Methods: A prospective cohort study was carried out, which encompassed 658 newly diagnosed OC patients (18–79 years) residing in China. Dietary protein intakes were collected through a food frequency questionnaire examination, including total protein and protein from diverse sources. Average residential PM2.5 concentrations were evaluated using satellite-derived models. We calculated the hazard ratio (HR) and its 95 % confidence interval (CI) by adjusting for multiple variables using Cox proportional risk models. By assessing the relative excess risk due to interaction (RERI) arising from the interplay between PM2.5 exposure and dietary protein intake, we explored the additive interaction between the two. Multiplicative interaction was assessed through a cross-product interaction term. Results: During a median follow-up of 37.60 months, 123 deaths were documented. As for all-cause mortality, the multivariate-adjusted HRs (95 % CIs) in the highest vs. the lowest tertile were 0.57 (0.35–0.93), 0.60 (0.36–0.99), and 0.58 (0.37–0.90) for intakes of fish, egg, as well as fruit/vegetable protein, respectively (all P for trend < 0.05). A positive association between PM2.5 exposure and all-cause mortality was observed (HR=1.52; 95 % CI: 1.13–2.05, per interquartile range increment). Notably, dietary fish, egg, and fruit/vegetable protein modified these associations, as patients with lower intakes had significantly higher PM2.5-related mortality in the cohort (all P for interaction < 0.05). Conclusions: This study provides evidence linking the potential interactions between dietary fish, egg, and fruit/vegetable protein intake and PM2.5 exposure on all-cause mortality of OC patients. Our study demonstrates the importance of adherence to a certain protein diet in reducing PM2.5-related mortality risk for OC patients.http://www.sciencedirect.com/science/article/pii/S0147651325001344Air pollutionDietary proteinInteractionMortalityOvarian cancerPM2.5 |
| spellingShingle | He-Li Xu Yi-Fan Wei Qi Bao Ya-Li Wang Xiao-Ying Li Dong-Hui Huang Fang-Hua Liu Yi-Zi Li Yue-Yang Zhao Xin-Xin Zhao Qian Xiao Song Gao Ren-Jie Chen Ling Ouyang Xia Meng Xue Qin Ting-Ting Gong Qi-Jun Wu Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort study Ecotoxicology and Environmental Safety Air pollution Dietary protein Interaction Mortality Ovarian cancer PM2.5 |
| title | Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort study |
| title_full | Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort study |
| title_fullStr | Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort study |
| title_full_unstemmed | Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort study |
| title_short | Dietary protein intake and PM2.5 on ovarian cancer survival: A prospective cohort study |
| title_sort | dietary protein intake and pm2 5 on ovarian cancer survival a prospective cohort study |
| topic | Air pollution Dietary protein Interaction Mortality Ovarian cancer PM2.5 |
| url | http://www.sciencedirect.com/science/article/pii/S0147651325001344 |
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