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用身体组成数据进行集群分析,以评估儿童的健康风险
Wataru Kudo1, Keita Terui2, Midori Yamamoto3
1Department of Pediatric Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan. ccfa4833@chiba-u.jp.
Pediatric research
|October 31, 2025
概括
综合人体测量和人体成分数据,确定了高风险的儿童子组. 这凸显了在日常儿童健康检查中对身体成分评估的重要性,以早期识别健康风险.
科学领域:
- 儿科健康 儿科健康
- 身体组成分析 身体成分分析
- 公共卫生 公共卫生
背景情况:
- 使用综合的人类测量和身体组成数据,对儿童的健康风险进行了调查.
- 7-14岁儿童的主要体质成分指数的确定的参考数据.
研究的目的:
- 通过综合数据分析,识别患有健康风险增加的儿科亚群.
- 突出身体成分评估在日常儿童检查中的重要性.
主要方法:
- 小学学生 (1-6年级) 的横截面研究,在两年内重复测量.
- 利用生物电阻和人体测量测量,包括腹周,脂质水平,活动和睡眠.
- 应用多项式回归用于数据标准化和分层聚类用于子群体识别.
主要成果:
- 从917个标准化人体成分数据集中开发了参考值模型.
- 确定了五个集群,包括两个高BMI组:一个高脂肪/肌肉质量,另一个高脂肪/平均肌肉质量.
- 高脂肪/平均肌肉质量组表现出高体脂百分比,大腹周长,升高的脂质指数和短暂的睡眠时间.
结论:
- 综合的人类测量和身体组成数据有效地确定了有风险的儿科亚群.
- 将身体成分分析纳入标准健康检查中,可以促进早期识别患有健康问题高风险的儿童.
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