对肥胖患者减肥心理困扰的预测模型的开发和验证:一个横截面研究
Zhiqiang Cheng1, Meiling Liu1, Xiaxin Li2
1Department of Health Management Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
Frontiers in public health
|December 29, 2025
概括
这项研究开发了一种预测模型,以识别肥胖患者在减肥期间面临心理痛苦风险. 该模型准确地识别高风险个体,使早期干预和支持成为可能.
科学领域:
- 肥胖研究的研究.
- 心理上的痛苦 心理上的痛苦
- 预测建模的预测建模.
背景情况:
- 肥胖患者经常经历心理困扰,包括低自尊,焦虑和抑郁.
- 肥胖个体的身体形状变化会导致腹部张张和等问题.
- 预测模型可以帮助早期识别和干预体重减轻的肥胖患者的心理痛苦.
研究的目的:
- 探索中年和年轻肥胖患者心理痛苦的风险因素.
- 在这个人群中构建和验证心理痛苦的风险预测模型.
主要方法:
- 一项对中国357名肥胖患者的横截面调查.
- 后勤回归分析被用来构建一个预测模型.
- 使用ROC曲线,Hosmer-Lemeshow测试和决策曲线分析来评估模型性能.
主要成果:
- 确定了七个预测因素:年轻年龄,女性性别,慢性病史,高BMI,饮食/运动减肥方法,感知到的社会支持低,以及一般自我效率低.
- 该模型表现出强大的预测性能,AUC为0.852,并在内部和外部队列中得到验证.
- 霍斯默-莱梅肖测试显示了很好的模型准确性 (p > 0.05).
结论:
- 开发了一种经过验证的预测模型,用于体重减轻期间肥胖患者的心理痛苦.
- 该模型具有强大的预测能力,对早期检测高风险个体非常有用.
- 这种工具可以支持主动干预,以减轻肥胖患者的心理痛苦.
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