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丹麦人口中与肥胖有关的疾病的患病率 - - 基于算法的查计划的结果
Claus B Juhl1,2,3,4, Else Marie Bladbjerg3,5, Bibi Gram3
1Department of Endocrinology, University Hospital of Southern Denmark, Esbjerg, Denmark.
概括
基于算法的查有效地识别了未被诊断的与肥胖有关的疾病,如糖尿病和睡眠呼吸暂停. 该计划强调需要改善男性参与肥胖查计划的必要性.
科学领域:
- 内部医学 内部医学
- 公共卫生 公共卫生
- 代谢疾病 代谢疾病
背景情况:
- 全球肥胖率的上升增加了相关慢性疾病的风险.
- 早期发现与肥胖相关的疾病对于有效的管理和预防至关重要.
研究的目的:
- 评估一种基于算法的查程序,用于检测以前未被诊断的与肥胖有关的疾病,这些疾病发生在体重指数 (BMI) 超过30kg/m2的个体中.
- 在这个人群中确定糖尿病,睡眠呼吸暂停,肝硬化/纤维化和动脉高血压等疾病的患病率.
主要方法:
- 使用经过验证的方法对769名患者 (BMI>30 kg/m2,年龄18-60岁) 进行了糖尿病,睡眠呼吸暂停,肝脏疾病和高血压的查.
- 包括一个具有正常BMI (18.5-29.9 kg/m2) 的参考组进行比较.
- 使用了糖基化血红蛋白,口服葡萄糖耐受性测试,问卷,心肺呼吸监测,生物化学,纤维扫描和血压测量.
主要成果:
- 在4.2%的患者中发现了新的糖尿病,在9.1%的患者中发现了糖尿病前期,在25.1%的患者中发现了中度至重度的睡眠呼吸暂停,在68.1%的患者中发现了肝脂肪增加,在17.4%的患者中发现了肝硬度增加.
- 高血压或掩盖高血压在19.0%的参与者中被发现.
- 疾病患病率在男性中显著高,并随着BMI的增加而增加,参考组的病例很少 (除了高血压).
结论:
- 基于算法的查程序是可行的,有效地检测高患有未诊断的肥胖相关疾病.
- 该研究发现,男性的转诊率不成比例地低,这表明需要采取量身定制的方法来改善男性参与肥胖查.
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