Xu Chao, Shao Chuan, Wang Jing, Ding Xinmin, Wu Nan
Department of Neurosurgery, Chongqing General Hospital, Chongqing University, Chongqing, China.
Department of Plastic and Cosmetic Surgery, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
PLoS One. 2025 May 13;20(5):e0323461. doi: 10.1371/journal.pone.0323461. eCollection 2025.
Data regarding the association between anthropometric factors and meningioma risk are inconsistent. Our aim was to investigate the association of body mass index (BMI), height, waist to hip ratio (WHR), waist circumference, and meningioma risk through a comprehensive meta-analysis.
An extensive review of literature was conducted in PubMed and Embase databases. Random-effects models were used to pool the study-specific relative risk estimates (RRs) and 95% confidence intervals (CIs). Moreover, we employed a dose-response meta-analysis with a one-stage robust error meta-regression (REMR) model.
We included nine prospective studies for four anthropometric factors listed above and meningioma risk. Compared with normal weight, both overweight (RR:1.11, 95% CI: 1.04, 1.19; P = 0.003, I2 = 0.0%) and obesity (RR: 1.38, 95% CI:1.16, 1.64; P < 0.001, I2 = 54.7%) were statistically significantly associated with meningioma risk. Dose-response analysis showed a nonlinear relationship between BMI and meningioma risk (P = 0.038). For height, a positive association was identified for men (RR:1.30, 95% CI:1.08, 1.56; P = 0.005, I2 = 0.0%) but not women (RR:1.13, 95% CI: 0.94,1.36; P = 0.186, I2 = 49.8%). Highest vs. lowest levels analyses also showed a positive association between meningioma risk and waist circumference (RR:1.89, 95% CI:1.34, 2.66; P < 0.001, I2 = 0.0%) and WHR (RR:1.40, 95% CI:1.00, 1.94; P = 0.048, I2 = 0.0%).
Our meta-analysis indicates greater height (in men) and excess weight and body fat mass were associated with an increased risk of meningioma. Further prospective studies with particular attention to sex disparity and dose-response analysis are warranted to confirm our observation.
人体测量学因素与脑膜瘤风险之间关联的数据并不一致。我们的目的是通过全面的荟萃分析来研究体重指数（BMI）、身高、腰臀比（WHR）、腰围与脑膜瘤风险之间的关联。
在PubMed和Embase数据库中进行了广泛的文献检索。采用随机效应模型汇总各研究的相对风险估计值（RRs）和95%置信区间（CIs）。此外，我们采用了单阶段稳健误差元回归（REMR）模型进行剂量反应荟萃分析。
我们纳入了9项关于上述4种人体测量学因素与脑膜瘤风险的前瞻性研究。与正常体重相比，超重（RR：1.11，95%CI：1.04，1.19；P = 0.003，I2 = 0.0%）和肥胖（RR：1.38，95%CI：1.16，1.64；P < 0.001，I2 = 54.7%）均与脑膜瘤风险存在统计学显著关联。剂量反应分析显示BMI与脑膜瘤风险之间存在非线性关系（P = 0.038）。对于身高，男性存在正相关（RR：1.30，95%CI：1.08，1.56；P = 0.005，I2 = 0.0%），而女性不存在（RR：1.13，95%CI：0.94，1.36；P = 0.186，I2 = 49.8%）。最高水平与最低水平分析也显示脑膜瘤风险与腰围（RR：1.89，95%CI：1.34，2.66；P < 0.001，I2 = 0.0%）和腰臀比（RR：1.40，95%CI：1.00，1.94；P = 0.048，I2 = 0.0%）之间存在正相关。
我们的荟萃分析表明，身高较高（男性）以及超重和体脂过多与脑膜瘤风险增加有关。有必要进行进一步的前瞻性研究，特别关注性别差异和剂量反应分析，以证实我们的观察结果。
