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. 2021 Jun 8;13(12):2859.
doi: 10.3390/cancers13122859.

Associations of General and Abdominal Obesity with the Risk of Glioma Development

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Associations of General and Abdominal Obesity with the Risk of Glioma Development

Stephen Ahn et al. Cancers (Basel). .

Abstract

The association between obesity and the risk of glioma remains unclear. We sought to evaluate the potential association between general and abdominal obesity and the risk of glioma based on a nationwide population-based cohort study of Koreans. Using data from the Korean National Health Insurance System cohort, 6,833,744 people older than 20 years who underwent regular national health examination in both 2009 and 2011 were followed until the end of 2017. We documented 4771 glioma cases based on an ICD-10 code of C71 during the median follow-up period of 7.30 years. Individuals with a body mass index (BMI) ≥ 25.0 kg/m2 were at significantly higher risk of developing glioma than those with a BMI < 25.0 kg/m2 (HR 1.08 CI 1.02-1.15). Individuals with a waist circumference (WC) ≥ 90 cm (males)/85 cm (females) also had a significantly higher risk of glioma than those with a WC < 90 cm (males)/85 cm (females) (HR 1.16 CI 1.09-1.24). In the group with a BMI ≥ 25.0 kg/m2, individuals with abdominal obesity were at significantly higher risk of developing glioma (HR 1.18 CI 1.09-1.27) than those without abdominal obesity. The role of abdominal obesity in this association was stronger in women than in men. To the best of our knowledge, this is the first demonstration that obese people may be at higher risk of glioma, especially centrally obese people from an Asian population with a BMI ≥ 25.0 kg/m2. Loss of visceral fat in people with abdominal obesity may reduce their risk of developing glioma.

Keywords: abdominal obesity; glioma; obesity; risk factors; waist circumstance.

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Conflict of interest statement

None to declare.

Figures

Figure 1
Figure 1
Impact of abdominal obesity on the association between BMI and risk of glioma development.
Figure 2
Figure 2
Flow of enrollment of study participants.

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