Association between weight-adjusted-waist index and gynecologic cancers: a population-based study
This study aims to analyze the association between the weight-adjusted waist index (WWI) and the risk of gynecologic cancers, using data collected from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016. We employed multiple logistic regression analysis to investigate th...
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Published in | Frontiers in nutrition (Lausanne) Vol. 11; p. 1449643 |
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Abstract | This study aims to analyze the association between the weight-adjusted waist index (WWI) and the risk of gynecologic cancers, using data collected from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016.
We employed multiple logistic regression analysis to investigate the relationship between WWI and risk of gynecologic cancers. Subsequent subgroup analyses were performed on specific populations of interest. A restricted cubic spline model was used to explore potential non-linear relationships. Additionally, the effectiveness of WWI in predicting sarcopenia was assessed through Receiver Operating Characteristic (ROC) curve analysis. K-fold cross-validation was applied for model assessment.
Among the 4,144 participants, 98 self-reported having gynecologic cancers. In the fully adjusted model, WWI was significantly associated with the prevalence of gynecologic cancers (OR = 1.38, 95% CI: 1.02-1.88,
= 0.0344). Our findings indicate a linear positive association between WWI and the risk of gynecologic cancers. Subgroup analysis revealed that WWI had the strongest association with cervical cancer (OR = 1.46, 95% CI: 0.97-2.18,
= 0.0354) and endometrial cancer (OR = 1.39, 95% CI: 0.81-2.39,
= 0.0142). No significant association was found between WWI and the risk of ovarian cancer (OR = 1.16, 95% CI: 0.48-2.72,
= 0.5359). Restricted cubic spline analysis confirmed a linear relationship between WWI and the risk of cervical, endometrial, and ovarian cancers. ROC curve analysis demonstrated that WWI had superior predictive capability for gynecologic cancers.
Elevated levels of WWI were significantly associated with an increased risk of gynecologic cancers in American women, displaying a stronger association than other obesity markers. Therefore, WWI may serve as a distinct and valuable biomarker for assessing the risk of gynecologic cancers, particularly cervical and endometrial cancers. |
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AbstractList | This study aims to analyze the association between the weight-adjusted waist index (WWI) and the risk of gynecologic cancers, using data collected from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016.ObjectiveThis study aims to analyze the association between the weight-adjusted waist index (WWI) and the risk of gynecologic cancers, using data collected from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016.We employed multiple logistic regression analysis to investigate the relationship between WWI and risk of gynecologic cancers. Subsequent subgroup analyses were performed on specific populations of interest. A restricted cubic spline model was used to explore potential non-linear relationships. Additionally, the effectiveness of WWI in predicting sarcopenia was assessed through Receiver Operating Characteristic (ROC) curve analysis. K-fold cross-validation was applied for model assessment.MethodsWe employed multiple logistic regression analysis to investigate the relationship between WWI and risk of gynecologic cancers. Subsequent subgroup analyses were performed on specific populations of interest. A restricted cubic spline model was used to explore potential non-linear relationships. Additionally, the effectiveness of WWI in predicting sarcopenia was assessed through Receiver Operating Characteristic (ROC) curve analysis. K-fold cross-validation was applied for model assessment.Among the 4,144 participants, 98 self-reported having gynecologic cancers. In the fully adjusted model, WWI was significantly associated with the prevalence of gynecologic cancers (OR = 1.38, 95% CI: 1.02-1.88, p = 0.0344). Our findings indicate a linear positive association between WWI and the risk of gynecologic cancers. Subgroup analysis revealed that WWI had the strongest association with cervical cancer (OR = 1.46, 95% CI: 0.97-2.18, p = 0.0354) and endometrial cancer (OR = 1.39, 95% CI: 0.81-2.39, p = 0.0142). No significant association was found between WWI and the risk of ovarian cancer (OR = 1.16, 95% CI: 0.48-2.72, p = 0.5359). Restricted cubic spline analysis confirmed a linear relationship between WWI and the risk of cervical, endometrial, and ovarian cancers. ROC curve analysis demonstrated that WWI had superior predictive capability for gynecologic cancers.ResultsAmong the 4,144 participants, 98 self-reported having gynecologic cancers. In the fully adjusted model, WWI was significantly associated with the prevalence of gynecologic cancers (OR = 1.38, 95% CI: 1.02-1.88, p = 0.0344). Our findings indicate a linear positive association between WWI and the risk of gynecologic cancers. Subgroup analysis revealed that WWI had the strongest association with cervical cancer (OR = 1.46, 95% CI: 0.97-2.18, p = 0.0354) and endometrial cancer (OR = 1.39, 95% CI: 0.81-2.39, p = 0.0142). No significant association was found between WWI and the risk of ovarian cancer (OR = 1.16, 95% CI: 0.48-2.72, p = 0.5359). Restricted cubic spline analysis confirmed a linear relationship between WWI and the risk of cervical, endometrial, and ovarian cancers. ROC curve analysis demonstrated that WWI had superior predictive capability for gynecologic cancers.Elevated levels of WWI were significantly associated with an increased risk of gynecologic cancers in American women, displaying a stronger association than other obesity markers. Therefore, WWI may serve as a distinct and valuable biomarker for assessing the risk of gynecologic cancers, particularly cervical and endometrial cancers.ConclusionElevated levels of WWI were significantly associated with an increased risk of gynecologic cancers in American women, displaying a stronger association than other obesity markers. Therefore, WWI may serve as a distinct and valuable biomarker for assessing the risk of gynecologic cancers, particularly cervical and endometrial cancers. This study aims to analyze the association between the weight-adjusted waist index (WWI) and the risk of gynecologic cancers, using data collected from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016. We employed multiple logistic regression analysis to investigate the relationship between WWI and risk of gynecologic cancers. Subsequent subgroup analyses were performed on specific populations of interest. A restricted cubic spline model was used to explore potential non-linear relationships. Additionally, the effectiveness of WWI in predicting sarcopenia was assessed through Receiver Operating Characteristic (ROC) curve analysis. K-fold cross-validation was applied for model assessment. Among the 4,144 participants, 98 self-reported having gynecologic cancers. In the fully adjusted model, WWI was significantly associated with the prevalence of gynecologic cancers (OR = 1.38, 95% CI: 1.02-1.88, = 0.0344). Our findings indicate a linear positive association between WWI and the risk of gynecologic cancers. Subgroup analysis revealed that WWI had the strongest association with cervical cancer (OR = 1.46, 95% CI: 0.97-2.18, = 0.0354) and endometrial cancer (OR = 1.39, 95% CI: 0.81-2.39, = 0.0142). No significant association was found between WWI and the risk of ovarian cancer (OR = 1.16, 95% CI: 0.48-2.72, = 0.5359). Restricted cubic spline analysis confirmed a linear relationship between WWI and the risk of cervical, endometrial, and ovarian cancers. ROC curve analysis demonstrated that WWI had superior predictive capability for gynecologic cancers. Elevated levels of WWI were significantly associated with an increased risk of gynecologic cancers in American women, displaying a stronger association than other obesity markers. Therefore, WWI may serve as a distinct and valuable biomarker for assessing the risk of gynecologic cancers, particularly cervical and endometrial cancers. ObjectiveThis study aims to analyze the association between the weight-adjusted waist index (WWI) and the risk of gynecologic cancers, using data collected from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016.MethodsWe employed multiple logistic regression analysis to investigate the relationship between WWI and risk of gynecologic cancers. Subsequent subgroup analyses were performed on specific populations of interest. A restricted cubic spline model was used to explore potential non-linear relationships. Additionally, the effectiveness of WWI in predicting sarcopenia was assessed through Receiver Operating Characteristic (ROC) curve analysis. K-fold cross-validation was applied for model assessment.ResultsAmong the 4,144 participants, 98 self-reported having gynecologic cancers. In the fully adjusted model, WWI was significantly associated with the prevalence of gynecologic cancers (OR = 1.38, 95% CI: 1.02–1.88, p = 0.0344). Our findings indicate a linear positive association between WWI and the risk of gynecologic cancers. Subgroup analysis revealed that WWI had the strongest association with cervical cancer (OR = 1.46, 95% CI: 0.97–2.18, p = 0.0354) and endometrial cancer (OR = 1.39, 95% CI: 0.81–2.39, p = 0.0142). No significant association was found between WWI and the risk of ovarian cancer (OR = 1.16, 95% CI: 0.48–2.72, p = 0.5359). Restricted cubic spline analysis confirmed a linear relationship between WWI and the risk of cervical, endometrial, and ovarian cancers. ROC curve analysis demonstrated that WWI had superior predictive capability for gynecologic cancers.ConclusionElevated levels of WWI were significantly associated with an increased risk of gynecologic cancers in American women, displaying a stronger association than other obesity markers. Therefore, WWI may serve as a distinct and valuable biomarker for assessing the risk of gynecologic cancers, particularly cervical and endometrial cancers. |
Author | Fang, Liyuan Wang, Runxi Li, Xiaotong Fang, Yuhang Zhang, Ying Xie, Yi Wang, Yan |
AuthorAffiliation | 3 Beijing University of Chinese Medicine , Beijing , China 2 Department of Surgery, Shanghai University of Traditional Chinese Medicine Affiliated Putuo Central Hospital , Shanghai , China 1 Department of Oncology, Guang’anmen Hospital of the Chinese Academy of Traditional Chinese Medicine , Beijing , China |
AuthorAffiliation_xml | – name: 3 Beijing University of Chinese Medicine , Beijing , China – name: 1 Department of Oncology, Guang’anmen Hospital of the Chinese Academy of Traditional Chinese Medicine , Beijing , China – name: 2 Department of Surgery, Shanghai University of Traditional Chinese Medicine Affiliated Putuo Central Hospital , Shanghai , China |
Author_xml | – sequence: 1 givenname: Liyuan surname: Fang fullname: Fang, Liyuan – sequence: 2 givenname: Xiaotong surname: Li fullname: Li, Xiaotong – sequence: 3 givenname: Yuhang surname: Fang fullname: Fang, Yuhang – sequence: 4 givenname: Yan surname: Wang fullname: Wang, Yan – sequence: 5 givenname: Runxi surname: Wang fullname: Wang, Runxi – sequence: 6 givenname: Yi surname: Xie fullname: Xie, Yi – sequence: 7 givenname: Ying surname: Zhang fullname: Zhang, Ying |
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Cites_doi | 10.1111/cas.14667 10.1038/s41598-018-35073-4 10.3389/fendo.2024.1330206 10.3389/fnut.2023.1171775 10.1038/s41571-024-00881-3 10.3322/caac.21834 10.3389/fcvm.2022.948194 10.1101/gad.346312.120 10.3389/fendo.2023.1175394 10.1001/jamaoncol.2022.7826 10.1093/annonc/mdx819 10.3322/caac.21820 10.3389/fpubh.2024.1409214 10.3390/nu16091370 10.1016/S2213-8587(20)30019-X 10.1038/ijo.2008.11 10.1038/s41598-024-61928-0 10.1093/ije/dyw158 10.1111/obr.13190 10.1080/14728222.2024.2316739 10.1001/jamanetworkopen.2023.51906 10.1056/NEJMsa1909301 10.1038/s41590-018-0251-7 10.1016/S0140-6736(14)60892-8 10.1111/imr.12849 10.1002/jcsm.13302 10.1016/j.jad.2024.01.104 10.1002/ijc.29207 10.1056/NEJMoa1614362 10.3389/fpubh.2023.1210669 10.1016/S2214-109X(22)00501-0 10.1371/journal.pone.0122985 10.1200/JCO.21.02112 10.3390/nu13082530 10.3389/fendo.2024.1345411 10.1007/s00011-023-01832-x 10.1038/s41467-024-46927-z 10.1016/j.jsbmb.2019.105476 10.1038/nrclinonc.2018.8 10.1186/s12916-022-02322-3 10.1038/oby.2009.461 10.1002/ijgo.13870 10.1016/S0140-6736(07)61602-X 10.1016/j.mayocp.2023.09.021 |
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Copyright | Copyright © 2024 Fang, Li, Fang, Wang, Wang, Xie and Zhang. Copyright © 2024 Fang, Li, Fang, Wang, Wang, Xie and Zhang. 2024 Fang, Li, Fang, Wang, Wang, Xie and Zhang |
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Keywords | weight-adjusted-waist index NHANES gynecologic cancers obesity non-linear |
Language | English |
License | Copyright © 2024 Fang, Li, Fang, Wang, Wang, Xie and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Ozra Tabatabaei-Malazy, Tehran University of Medical Sciences, Iran Sepehr Khosravi, Tehran University of Medical Sciences, Iran Reviewed by: Ali Golestani, Tehran University of Medical Sciences, Iran Shirin Djalalinia, Ministry of Health and Medical Education, Iran |
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SubjectTerms | gynecologic cancers NHANES non-linear Nutrition obesity weight-adjusted-waist index |
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Title | Association between weight-adjusted-waist index and gynecologic cancers: a population-based study |
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