在患有代谢综合征的患者中,抑郁症的发生率和风险因素
Li-Na Zhou1, Xian-Cang Ma1, Wei Wang2
1Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, Shaanxi Province, China.
World journal of psychiatry
|March 11, 2024
概括
抑郁症在患有代谢综合征 (MetS) 的中国老年人中越来越普遍. 使用基线因素的预测模型可以识别处于早期干预风险的个体.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 代谢综合征 (MetS) 和抑郁症是老龄化人口的重大健康问题.
- 对患有MetS的中国老年人抑郁症的研究是有限的.
- 中国老龄化社会需要对这一人口群体进行专注研究.
研究的目的:
- 确定中年和老年人中患有中国大陆MetS的抑郁症的发病率和危险因素.
- 在这个人群中开发抑郁症的预测模型.
主要方法:
- 利用了中国健康与退休长度研究的四波数据.
- 包括2533名中年和老年MetS患者,使用流行病学研究中心-抑郁症 (CES-D) 尺度评估抑郁症.
- 分析了2年,4年和7年的随访数据,以选与抑郁症相关的因素,并构建一个预测模型.
主要成果:
- 在MetS患者中,抑郁症的患病率在基线时为37.02%,在7年随访后增加到38.15%.
- 一个结合CES-D分数,身体自我维护量表,睡眠时间,慢性疾病,年龄和体重的预测模型显示了对2年抑郁风险的良好预测值 (AUC=0.775).
- 该模型实现了68%的灵敏度和74%的特异性.
结论:
- 抑郁症的患病率随着时间的推移在中国老年患者中随着时间的推移而增加.
- 对抑郁症状的早期鉴定和干预对于MetS患者至关重要.
- 开发的预测模型有助于在这个人口群体中主动管理抑郁症.
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