开发一个用户友好的自我查工具,用于评估来自经济困难地区的年轻人代谢综合征风险
Jacqueline Fernandes de Sa Xavier1, Shirley C Feuerstein1, Augusto Cesar Ferreira De Moraes2
1Health, Physical Activity and Behavior Research (HEALTHY-BRA) Group, Universidade Federal do Tocantins, Miracema do Tocantins 77650-000, Brazil.
Journal of personalized medicine
|August 29, 2024
概括
这项研究开发了用户友好的诺姆图,用于预测来自低收入地区的年轻人的代谢综合征. 这些工具利用自我报告的数据进行早期风险识别,这对于预防心脏病和糖尿病至关重要.
科学领域:
- 公共卫生 公共卫生
- 预防医学 预防医学
- 生物统计学 生物统计学
背景情况:
- 代谢综合征对心脏病和糖尿病构成重大风险.
- 早期发现和管理至关重要,特别是在服务不足的人群中.
- 在低收入地区获得医疗保健的限制使得需要可访问的风险评估工具.
研究的目的:
- 为个性化代谢综合征风险估计创建名图.
- 专注于居住在经济不利地区的年轻人.
- 促进早期干预,以减轻长期健康后果.
主要方法:
- 评估了巴西城市的496名大学生,基尼指数较低.
- 利用后勤回归来确定与腹部肥胖相关的变量.
- 开发并验证了使用自我报告数据和体重的三个名录 (A,B,C分数).
主要成果:
- 确定了10个预测变量,包括人口统计,体育活动和学术因素.
- 诺姆图表显示可接受的预测性能 (AUC ≥0.70) 和校准.
- 外部验证证实,基于生活方式和人口统计数据的nomograms具有更高的预测准确性.
结论:
- 自我报告的数据可以准确地预测来自低收入环境的年轻人的代谢综合征.
- 开发出来的诺姆图为风险评估提供了一种实用的方法.
- 支持早期识别和管理,改善弱势群体的健康结果.
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