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Updated: Jun 27, 2025

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开发和初步验证基于使用24小时尿液多重回归的和比预测公式
Marina Yamagishi1, Ribeka Takachi2, Junko Ishihara3
1Department of Food Science and Nutrition, Nara Women's University Graduate School of Humanities and Sciences, Kitauoyahigashimachi, Nara-shi, Nara, 630-8506, Japan.
估计饮食中的摄入量是很困难的. 这项研究开发了一种使用饮食行为和食物频率的预测公式,提高了流行病学研究中和分泌量测量的准确性.
科学领域:
- 营养科学 营养科学
- 流行病学 流行病学
- 饮食评估 饮食评估
背景情况:
- 准确的饮食摄入量测量对于流行病学研究至关重要,但往往受到重大测量误差的阻碍.
- 现有的方法,如食品成分方法,在估计习惯性摄入量及其对健康的影响方面可能缺乏准确性.
研究的目的:
- 开发和验证用于估计24小时尿液分泌量和与比的预测公式.
- 确定与日本人口中分泌相关的关键饮食行为和食物频率.
主要方法:
- 利用了244名日本参与者 (年龄在35-80岁) 的数据,包括五个24小时尿样和两个食物频率问卷 (FFQ).
- 采用多变量线性回归分析来确定尿路分泌和与比率的决定因素.
- 通过将受试者分为开发和验证组来评估公式有效性.
主要成果:
- 鉴定了口味偏好,大豆的使用,制蔬菜的摄入量和米索的摄入量作为分泌的重要决定因素.
- 在男性和女性中,所获得的相关系数分别为0.42-0.43的和0.49-0.50的与比.
- 演示了开发的预测公式的初步有效性.
结论:
- 与传统的食品成分方法相比,开发的预测公式为估计习惯性摄入量和与比率提供了潜在的更准确的方法.
- 这种方法可以提高调查摄入对健康影响的流行病学研究的可靠性.
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