Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning models
BackgroundUnhealthy lifestyle habits, such as smoking, can impact oxidative stress. During oxidative stress, unnaturalized free radicals can damage DNA, proteins, and lipids, leading to cellular damage and death. A comprehensive measurement of various pro-oxidative and antioxidative exposures can re...
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Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Nutrition |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2025.1586606/full |
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| author | Chunlin Dong Chunlin Dong Ding Ma Ding Ma Ding Ma Jinjin Yu Ke Gu Yaying Lin Jing Song Yuan Wang Yanjun Zhou |
| author_facet | Chunlin Dong Chunlin Dong Ding Ma Ding Ma Ding Ma Jinjin Yu Ke Gu Yaying Lin Jing Song Yuan Wang Yanjun Zhou |
| author_sort | Chunlin Dong |
| collection | DOAJ |
| description | BackgroundUnhealthy lifestyle habits, such as smoking, can impact oxidative stress. During oxidative stress, unnaturalized free radicals can damage DNA, proteins, and lipids, leading to cellular damage and death. A comprehensive measurement of various pro-oxidative and antioxidative exposures can reflect an individual's oxidative stress burden. However, studies on assessing the association between dietary and lifestyle factors related to oxidative stress and menopause were previously lacking.Materials and methodsA cohort of 2,813 women aged 40–60 years from the National Health and Nutrition Examination Survey conducted between 2003 and 2020 was identified as meeting the eligibility criteria. The associations of oxidative balance score (OBS) with the menopausal status were examined via weighted logistic regression models, and the odds ratios (ORs) of menopause onset were calculated with 95% confidence intervals (CIs). Machine learning models were developed and compared to classify the menopausal status based on the OBS and other epidemiological factors, with the interpretability of the models explored using the Shapley Additive Explanations method.ResultsFollowing adjustment for various confounding factors, OBS was reversely associated with menopause (OR: 0.97, 95% CI: 0.94–0.99, p = 0.010). When the OBS was categorized into quartiles, the association with menopause was still significant (p for trend = 0.009). The association of the OBS with menopause remained significant after excluding any each survey year cycles (p for trend < 0.050). The menopause classification models developed using TabFPN, Random Forest, CatBoost, and XGBoost achieved an area under the curve of 0.880, 0.884, 0.886, and 0.878, respectively. Based on the results from epidemiological analysis and machine learning models, the intake of magnesium, zinc, niacin, and vitamin B6 showed a decline in the early postmenopausal period and contributed in the model performance.ConclusionsOBS were reversely associated with the menopausal status, and the OBS might serve as an indicator of an individual's oxidative stress status for lifestyle interventions during the menopausal transition. |
| format | Article |
| id | doaj-art-b9d9443882c047efb4787a316f79695a |
| institution | OA Journals |
| issn | 2296-861X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Nutrition |
| spelling | doaj-art-b9d9443882c047efb4787a316f79695a2025-08-20T01:52:18ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2025-05-011210.3389/fnut.2025.15866061586606Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning modelsChunlin Dong0Chunlin Dong1Ding Ma2Ding Ma3Ding Ma4Jinjin Yu5Ke Gu6Yaying Lin7Jing Song8Yuan Wang9Yanjun Zhou10Department of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaWuxi Medical College, Jiangnan University, Wuxi, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaWuxi Medical College, Jiangnan University, Wuxi, ChinaKey Laboratory of the Ministry of Education, Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaDepartment of Radiation Oncology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaDepartment of Obstetrics and Gynecology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaDepartment of Radiation Oncology, Affiliated Hospital of Jiangnan University, Wuxi, ChinaBackgroundUnhealthy lifestyle habits, such as smoking, can impact oxidative stress. During oxidative stress, unnaturalized free radicals can damage DNA, proteins, and lipids, leading to cellular damage and death. A comprehensive measurement of various pro-oxidative and antioxidative exposures can reflect an individual's oxidative stress burden. However, studies on assessing the association between dietary and lifestyle factors related to oxidative stress and menopause were previously lacking.Materials and methodsA cohort of 2,813 women aged 40–60 years from the National Health and Nutrition Examination Survey conducted between 2003 and 2020 was identified as meeting the eligibility criteria. The associations of oxidative balance score (OBS) with the menopausal status were examined via weighted logistic regression models, and the odds ratios (ORs) of menopause onset were calculated with 95% confidence intervals (CIs). Machine learning models were developed and compared to classify the menopausal status based on the OBS and other epidemiological factors, with the interpretability of the models explored using the Shapley Additive Explanations method.ResultsFollowing adjustment for various confounding factors, OBS was reversely associated with menopause (OR: 0.97, 95% CI: 0.94–0.99, p = 0.010). When the OBS was categorized into quartiles, the association with menopause was still significant (p for trend = 0.009). The association of the OBS with menopause remained significant after excluding any each survey year cycles (p for trend < 0.050). The menopause classification models developed using TabFPN, Random Forest, CatBoost, and XGBoost achieved an area under the curve of 0.880, 0.884, 0.886, and 0.878, respectively. Based on the results from epidemiological analysis and machine learning models, the intake of magnesium, zinc, niacin, and vitamin B6 showed a decline in the early postmenopausal period and contributed in the model performance.ConclusionsOBS were reversely associated with the menopausal status, and the OBS might serve as an indicator of an individual's oxidative stress status for lifestyle interventions during the menopausal transition.https://www.frontiersin.org/articles/10.3389/fnut.2025.1586606/fullmenopauseoxidative stressoxidative balance scoreniacinmagnesium |
| spellingShingle | Chunlin Dong Chunlin Dong Ding Ma Ding Ma Ding Ma Jinjin Yu Ke Gu Yaying Lin Jing Song Yuan Wang Yanjun Zhou Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning models Frontiers in Nutrition menopause oxidative stress oxidative balance score niacin magnesium |
| title | Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning models |
| title_full | Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning models |
| title_fullStr | Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning models |
| title_full_unstemmed | Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning models |
| title_short | Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning models |
| title_sort | oxidative balance score and menopausal status insights from epidemiological analysis and machine learning models |
| topic | menopause oxidative stress oxidative balance score niacin magnesium |
| url | https://www.frontiersin.org/articles/10.3389/fnut.2025.1586606/full |
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