Study design

Retrospective cohort study.

Objective

To assess the association between obesity and the development of third, fourth, and sixth cranial nerve palsy (CNP).

Methods

We analyzed a cohort of 4,067,842 adults aged between 20 and 90 years who underwent health checkups within the National Health Insurance Service between January 1 and December 31, 2009. The participants were followed until December 31, 2017. Cox proportional hazards regression analysis was used to determine the adjusted hazard ratios (HRs) for CNP. Model 3 (the main analysis model) was adjusted for age, sex, smoking status, alcohol consumption, and physical activity. Model 4 was additionally adjusted for hypertension, dyslipidemia, and diabetes mellitus in the setting of model 3.

Results

A total of 5,835 individuals were diagnosed with CNP during the follow-up period (7.3 years). General obesity (body mass index [BMI] ≥25 kg/m²) was associated with an increased risk of CNP compared to individuals without general obesity (model 3, HR 1.248, 95% CI 1.184-1.315; model 4, HR 1.162, 95% CI 1.102-1.227). Abdominal obesity (waist circumference [WC] ≥90 cm in men and ≥85 cm in women) also showed an increased HR compared to individuals without abdominal obesity (model 3, 1.239, 95% CI 1.170-1.313; model 4, HR 1.127, 95% CI 1.062-1.196). Compared to the group without either type of obesity, the group with only abdominal obesity (model 3, HR 1.167, 95% CI 1.035-1.317), the group with only general obesity (HR 1.19, 95% CI 1.14-1.24), and the group with both obesity types (HR 1.317, 95% CI 1.236-1.404) showed increased HRs for CNP.

Conclusion

Based on our population-based cohort study, both general and abdominal obesity increased the risk of CNP. Also, the combination of general and abdominal obesity may further increase the risk of CNP.

中文翻译：

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肥胖与第三、第四和第六颅神经麻痹发病率的关联

学习规划

回顾性队列研究。

客观的

评估肥胖与第三、第四和第六颅神经麻痹 (CNP) 发展之间的关联。

方法

我们分析了 2009 年 1 月 1 日至 12 月 31 日期间在国民健康保险服务机构内接受健康检查的 4,067,842 名 20 至 90 岁成年人的队列。参与者被跟踪至 2017 年 12 月 31 日。Cox 比例风险回归分析用于确定 CNP 的调整后风险比 (HR)。模型 3（主要分析模型）针对年龄、性别、吸烟状况、饮酒和身体活动进行了调整。在模型 3 的设置中，模型 4 还针对高血压、血脂异常和糖尿病进行了额外调整。

结果

在随访期间（7.3 年），共有 5,835 人被诊断出患有 CNP。一般肥胖（体重指数 [BMI] ≥25 kg/m ²) 与没有一般肥胖的个体相比，与 CNP 风险增加相关（模型 3，HR 1.248，95% CI 1.184-1.315；模型 4，HR 1.162，95% CI 1.102-1.227）。与没有腹部肥胖的个体相比，腹部肥胖（男性腰围 [WC] ≥ 90 cm，女性≥ 85 cm）也显示 HR 增加（模型 3，1.239，95% CI 1.170-1.313；模型 4，HR 1.127， 95% CI 1.062-1.196)。与没有任何一种肥胖的组相比，只有腹部肥胖的组（模型 3，HR 1.167，95% CI 1.035-1.317），只有一般肥胖的组（HR 1.19，95% CI 1.14-1.24），和两种肥胖类型的组（HR 1.317, 95% CI 1.236-1.404）显示 CNP 的 HR 增加。

结论

根据我们基于人群的队列研究，一般肥胖和腹部肥胖都会增加 CNP 的风险。此外，一般肥胖和腹部肥胖的结合可能会进一步增加 CNP 的风险。