一个名图和在线计算器用于预测肥胖美国人的抑郁风险
Xuefen Yu1, Sihua Liang2, Yanya Chen3,4
1Comprehensive Special Diagnosis Department, First Affiliated Hospital of Jinan University, Guangzhou, China.
Heliyon
|July 24, 2024
概括
患有抑郁症的肥胖个体面临风险,但它是.
科学领域:
- 医学研究 医学研究
- 公共卫生 公共卫生
- 临床预测模型的临床预测模型.
背景情况:
- 肥胖和抑郁经常同时发生,增加不良事件的风险.
- 在肥胖人群中,抑郁症往往被诊断不足,治疗不足.
- 准确的风险评估对于肥胖患者的早期干预至关重要.
研究的目的:
- 在肥胖的美国成年人中确定抑郁症的关键预测因素.
- 为评估抑郁风险开发一个名图和计算器.
- 在初级保健机构提供早期抑郁症查的辅助工具.
主要方法:
- 这是一项横截面研究,利用了国家健康和营养检查调查 (NHANES) 中2674名肥胖参与者的数据.
- 参与者被随机分配到培训 (70%) 和验证 (30%) 组.
- 通过LASSO和多变量逻辑回归确定了预测因素;使用C统计,校准图和决策曲线分析 (DCA) 评估了nomogram性能.
主要成果:
- 确定了7种抑郁症的重要预测因素:性别,高血压,睡眠时间,贫困与收入的比例,先前的心理健康咨询,糖尿病和白天的嗜睡.
- 开发的名图表显示出良好的区分能力,AUC为0.817 (训练) 和0.772 (外部验证).
- 诺米图表表现出良好的校准和临床有用性,这是DCA证实的.
结论:
- 一个经过验证的名图和计算器可以有效地预测肥胖美国人的抑郁风险.
- 这些工具可以作为初级保健中早期抑郁症查的宝贵辅助工具.
- 改善早期检测可以促进肥胖患者及时治疗抑郁症.
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