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Obesity and Risk for Brain/CNS Tumors, Gliomas and Meningiomas: A Meta-Analysis.

Sergentanis TN, Tsivgoulis G, Perlepe C, Ntanasis-Stathopoulos I, Tzanninis IG, Sergentanis IN, Psaltopoulou T - PLoS ONE (2015)

Bottom Line: Random-effects meta-analysis and dose-response meta-regression analysis was conducted.The analysis was performed using Stata/SE version 13 statistical software.Dose-response meta-regression analysis further validated the findings.

View Article: PubMed Central - PubMed

Affiliation: Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National University of Athens, Athens, Greece.

ABSTRACT

Objective: This meta-analysis aims to examine the association between being overweight/obese and risk of meningiomas and gliomas as well as overall brain/central nervous system (CNS) tumors.

Study design: Potentially eligible publications were sought in PubMed up to June 30, 2014. Random-effects meta-analysis and dose-response meta-regression analysis was conducted. Cochran Q statistic, I-squared and tau-squared were used for the assessment of between-study heterogeneity. The analysis was performed using Stata/SE version 13 statistical software.

Results: A total of 22 studies were eligible, namely 14 cohort studies (10,219 incident brain/CNS tumor cases, 1,319 meningioma and 2,418 glioma cases in a total cohort size of 10,143,803 subjects) and eight case-control studies (1,009 brain/CNS cases, 1,977 meningioma cases, 1,265 glioma cases and 8,316 controls). In females, overweight status/obesity was associated with increased risk for overall brain/CNS tumors (pooled RR = 1.12, 95%CI: 1.03-1.21, 10 study arms), meningiomas (pooled RR = 1.27, 95%CI: 1.13-1.43, 16 study arms) and gliomas (pooled RR = 1.17, 95%CI: 1.03-1.32, six arms). Obese (BMI>30 kg/m2) females seemed particularly aggravated in terms of brain/CNS tumor (pooled RR = 1.19, 95%CI: 1.05-1.36, six study arms) and meningioma risk (pooled RR = 1.48, 95%CI: 1.28-1.71, seven arms). In males, overweight/obesity status correlated with increased meningioma risk (pooled RR = 1.58, 95%CI: 1.22-2.04, nine study arms), whereas the respective association with overall brain/CNS tumor or glioma risk was not statistically significant. Dose-response meta-regression analysis further validated the findings.

Conclusion: Our findings highlight obesity as a risk factor for overall brain/CNS tumors, meningiomas and gliomas among females, as well as for meningiomas among males.

No MeSH data available.


Related in: MedlinePlus

Forest plot describing the association between overweight status/obesity and brain/CNS tumor risk among females.Apart from the overall analysis, the subanalyses on cohort (upper panels) and case-control (lower panels) studies are presented.
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pone.0136974.g002: Forest plot describing the association between overweight status/obesity and brain/CNS tumor risk among females.Apart from the overall analysis, the subanalyses on cohort (upper panels) and case-control (lower panels) studies are presented.

Mentions: The middle panels of Table 3 present the results of the meta-analyses regarding the association between being overweight/obese and risk of overall brain/CNS tumors. Overweight status/obesity was associated with increased risk for brain/CNS tumors among females (pooled RR = 1.12, 95%CI: 1.03–1.21, 10 study arms, I2 = 12.8%, Fig 2), with the association being evident in the subset of cohort studies (pooled RR = 1.13, 95%CI: 1.03–1.24, eight study arms, I2 = 24.4%). The positive association was mainly due to the obese female subjects, as increased brain/CNS tumor risk was observed among them (pooled RR = 1.19, 95%CI: 1.05–1.36, six study arms, I2 = 17.8%, Fig A in S1 File).


Obesity and Risk for Brain/CNS Tumors, Gliomas and Meningiomas: A Meta-Analysis.

Sergentanis TN, Tsivgoulis G, Perlepe C, Ntanasis-Stathopoulos I, Tzanninis IG, Sergentanis IN, Psaltopoulou T - PLoS ONE (2015)

Forest plot describing the association between overweight status/obesity and brain/CNS tumor risk among females.Apart from the overall analysis, the subanalyses on cohort (upper panels) and case-control (lower panels) studies are presented.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4558052&req=5

pone.0136974.g002: Forest plot describing the association between overweight status/obesity and brain/CNS tumor risk among females.Apart from the overall analysis, the subanalyses on cohort (upper panels) and case-control (lower panels) studies are presented.
Mentions: The middle panels of Table 3 present the results of the meta-analyses regarding the association between being overweight/obese and risk of overall brain/CNS tumors. Overweight status/obesity was associated with increased risk for brain/CNS tumors among females (pooled RR = 1.12, 95%CI: 1.03–1.21, 10 study arms, I2 = 12.8%, Fig 2), with the association being evident in the subset of cohort studies (pooled RR = 1.13, 95%CI: 1.03–1.24, eight study arms, I2 = 24.4%). The positive association was mainly due to the obese female subjects, as increased brain/CNS tumor risk was observed among them (pooled RR = 1.19, 95%CI: 1.05–1.36, six study arms, I2 = 17.8%, Fig A in S1 File).

Bottom Line: Random-effects meta-analysis and dose-response meta-regression analysis was conducted.The analysis was performed using Stata/SE version 13 statistical software.Dose-response meta-regression analysis further validated the findings.

View Article: PubMed Central - PubMed

Affiliation: Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National University of Athens, Athens, Greece.

ABSTRACT

Objective: This meta-analysis aims to examine the association between being overweight/obese and risk of meningiomas and gliomas as well as overall brain/central nervous system (CNS) tumors.

Study design: Potentially eligible publications were sought in PubMed up to June 30, 2014. Random-effects meta-analysis and dose-response meta-regression analysis was conducted. Cochran Q statistic, I-squared and tau-squared were used for the assessment of between-study heterogeneity. The analysis was performed using Stata/SE version 13 statistical software.

Results: A total of 22 studies were eligible, namely 14 cohort studies (10,219 incident brain/CNS tumor cases, 1,319 meningioma and 2,418 glioma cases in a total cohort size of 10,143,803 subjects) and eight case-control studies (1,009 brain/CNS cases, 1,977 meningioma cases, 1,265 glioma cases and 8,316 controls). In females, overweight status/obesity was associated with increased risk for overall brain/CNS tumors (pooled RR = 1.12, 95%CI: 1.03-1.21, 10 study arms), meningiomas (pooled RR = 1.27, 95%CI: 1.13-1.43, 16 study arms) and gliomas (pooled RR = 1.17, 95%CI: 1.03-1.32, six arms). Obese (BMI>30 kg/m2) females seemed particularly aggravated in terms of brain/CNS tumor (pooled RR = 1.19, 95%CI: 1.05-1.36, six study arms) and meningioma risk (pooled RR = 1.48, 95%CI: 1.28-1.71, seven arms). In males, overweight/obesity status correlated with increased meningioma risk (pooled RR = 1.58, 95%CI: 1.22-2.04, nine study arms), whereas the respective association with overall brain/CNS tumor or glioma risk was not statistically significant. Dose-response meta-regression analysis further validated the findings.

Conclusion: Our findings highlight obesity as a risk factor for overall brain/CNS tumors, meningiomas and gliomas among females, as well as for meningiomas among males.

No MeSH data available.


Related in: MedlinePlus