Body mass index and glioma risk: A prospective multicenter study
BackgroundThe association between glioma risk and body mass index (BMI) remains obscure.MethodsThis study aimed to assess the association between glioma risk and BMI in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Cox proportional hazards regression was used to calculat...
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Frontiers Media S.A.
2022-08-01
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Series: | Frontiers in Endocrinology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2022.933921/full |
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author | Chuan Shao Chuan Shao Chuan Shao Hui Tang Xiaoya Wang Jiaquan He Pan Wang Nan Wu |
author_facet | Chuan Shao Chuan Shao Chuan Shao Hui Tang Xiaoya Wang Jiaquan He Pan Wang Nan Wu |
author_sort | Chuan Shao |
collection | DOAJ |
description | BackgroundThe association between glioma risk and body mass index (BMI) remains obscure.MethodsThis study aimed to assess the association between glioma risk and BMI in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Cox proportional hazards regression was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs).ResultsThe onset of a total of 269 gliomas was observed during a median follow-up period of 12.04 years. Compared with the normal weight, overweight (HR: 1.05; 95% CI: 0.80, 1.39) and obesity (HR: 0.91; 95% CI: 0.56, 1.39) were not significantly associated with glioma risk. Further analysis showed a nonlinear relationship between glioma risk and BMI in men but not women. The multivariable-adjusted HRs per unit increase in BMI were 0.94 (95% CI: 0.89, 1.00; P = 0.037) in men with BMI >25 kg/m2 and 1.16 (95% CI: 0.98, 1.38; P = 0.075) in men with BMI <25 kg/m2.ConclusionThe present data provide evidence that there may be a nonlinear association between BMI and glioma risk in men. The risk of glioma decreased with increasing BMI among men with BMI >25 kg/m2. Future studies are needed to validate our observation. |
first_indexed | 2024-04-11T09:41:14Z |
format | Article |
id | doaj.art-a00c457d740347f8b5aac3e137af9f03 |
institution | Directory Open Access Journal |
issn | 1664-2392 |
language | English |
last_indexed | 2024-04-11T09:41:14Z |
publishDate | 2022-08-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Endocrinology |
spelling | doaj.art-a00c457d740347f8b5aac3e137af9f032022-12-22T04:31:11ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-08-011310.3389/fendo.2022.933921933921Body mass index and glioma risk: A prospective multicenter studyChuan Shao0Chuan Shao1Chuan Shao2Hui Tang3Xiaoya Wang4Jiaquan He5Pan Wang6Nan Wu7Department of Neurosurgery, Chongqing General Hospital, Chongqing, ChinaDepartment of Neurosurgery, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, ChinaGraduate Institute, Chongqing Medical University, Chongqing, ChinaDepartment of Neurosurgery, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, ChinaDepartment of Neurosurgery, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, ChinaDepartment of Neurosurgery, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College, Nanchong, ChinaDepartment of Neurosurgery, Chongqing General Hospital, Chongqing, ChinaDepartment of Neurosurgery, Chongqing General Hospital, Chongqing, ChinaBackgroundThe association between glioma risk and body mass index (BMI) remains obscure.MethodsThis study aimed to assess the association between glioma risk and BMI in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Cox proportional hazards regression was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs).ResultsThe onset of a total of 269 gliomas was observed during a median follow-up period of 12.04 years. Compared with the normal weight, overweight (HR: 1.05; 95% CI: 0.80, 1.39) and obesity (HR: 0.91; 95% CI: 0.56, 1.39) were not significantly associated with glioma risk. Further analysis showed a nonlinear relationship between glioma risk and BMI in men but not women. The multivariable-adjusted HRs per unit increase in BMI were 0.94 (95% CI: 0.89, 1.00; P = 0.037) in men with BMI >25 kg/m2 and 1.16 (95% CI: 0.98, 1.38; P = 0.075) in men with BMI <25 kg/m2.ConclusionThe present data provide evidence that there may be a nonlinear association between BMI and glioma risk in men. The risk of glioma decreased with increasing BMI among men with BMI >25 kg/m2. Future studies are needed to validate our observation.https://www.frontiersin.org/articles/10.3389/fendo.2022.933921/fullbody mass indexgliomacohortobeseoverweightobesity |
spellingShingle | Chuan Shao Chuan Shao Chuan Shao Hui Tang Xiaoya Wang Jiaquan He Pan Wang Nan Wu Body mass index and glioma risk: A prospective multicenter study Frontiers in Endocrinology body mass index glioma cohort obese overweight obesity |
title | Body mass index and glioma risk: A prospective multicenter study |
title_full | Body mass index and glioma risk: A prospective multicenter study |
title_fullStr | Body mass index and glioma risk: A prospective multicenter study |
title_full_unstemmed | Body mass index and glioma risk: A prospective multicenter study |
title_short | Body mass index and glioma risk: A prospective multicenter study |
title_sort | body mass index and glioma risk a prospective multicenter study |
topic | body mass index glioma cohort obese overweight obesity |
url | https://www.frontiersin.org/articles/10.3389/fendo.2022.933921/full |
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