饮食摄入量与尿路分泌之间的关联:系统审查和元分析的方案
Nobuhisa Morimoto1, Hasan Jamil2, Mohab Alakkari3
1Department of Nephrology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, 113-8519, Japan. nobumorimoto836@gmail.com.
Systematic reviews
|July 17, 2024
概括
本研究评估了估计饮食摄入量的方法,比较自我报告和尿液分泌. 这些发现将提高评估的准确性.
科学领域:
- 营养科学 营养科学
- 临床研究 临床研究
- 流行病学 流行病学
背景情况:
- 准确估计饮食摄入量对于了解其在慢性疾病中的作用至关重要.
- 目前的方法,包括自我报告的饮食摄入量和24小时尿路分泌,具有诸如报告不足和对功能影响等局限性.
- 摄入量估计方法中的现有偏差需要量化,以改善临床解释和疾病风险评估.
研究的目的:
- 系统地审查和综合有关饮食摄入量估计方法 (自我报告与目标) 与24小时尿路分泌之间的关联强度的证据.
- 分析这些关联在不同年龄组和不同水平的功能.
- 确定影响不同摄入量估计方法之间的关联强度的因素.
主要方法:
- 在主要数据库 (MEDLINE,Embase,Web of Science,Scopus) 进行全面的文献搜索.
- 有资格的研究将包括儿童,青少年,成年人和老年人,不包括透析患者.
- 将使用固定或随机效应模型进行元分析,以结合相关系数,比率或标准化平均差异,评估与I2统计数据的异质性,并通过元回归探索来源.
主要成果:
- 这项研究旨在量化自我报告的饮食摄入量,客观测量的摄入量和24小时尿路分泌量之间的一致性和差异.
- 结果将按年龄组和功能状态分层,以突出差异性关联.
- 超回归将确定导致观察到的关联异质性的关键因素.
结论:
- 了解不同人群中不同摄入量之间的关联对于准确解释研究和临床数据至关重要.
- 这一系统性审查将为摄入量对慢性疾病风险的影响提供更强有力的证据基础.
- 鉴定修饰因素可能会导致更好的预测模型来估计真正的摄入量.
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