An Overview of Traditional and Novel Tools to Assess Diet

M. K. Esquivel, Chloe P. Lozano
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Abstract

Effective dietary interventions are vital for combating morbidity and mortality, necessitating reliable assessment tools. This article explores diverse dietary assessment methods, emphasizing their complexities and applications. Food Frequency Questionnaires (FFQs) offer insights into dietary habits over specified periods but require validation for target populations. Traditional Food Records provide detailed insights but are labor-intensive and prone to underreporting. Technology-based and technology-assisted records offer efficient alternatives, leveraging mobile apps and wearable sensors, albeit with access and privacy concerns. 24 hour Dietary Recall (24HR) methods capture detailed intake within a day, with traditional and technology-assisted approaches strengthening population studies. The Automated Multi-Pass Method (AMPM) and technology-assisted ASA24 represent traditional and contemporary 24HR methodologies, respectively, both yielding comprehensive dietary data. In conclusion, dietary assessments are crucial for understanding dietary patterns and health implications. Integration of novel technologies streamlines data collection and analysis, enhancing researchers’ ability to accurately gauge short- and long-term dietary impacts. Proper utilization of these tools empowers researchers to make informed decisions regarding dietary interventions and public health initiatives.
传统和新型饮食评估工具概述
有效的饮食干预对降低发病率和死亡率至关重要,因此需要可靠的评估工具。本文探讨了各种膳食评估方法,强调了它们的复杂性和应用。食物频率问卷(FFQs)可深入了解特定时期的膳食习惯,但需要对目标人群进行验证。传统的食物记录能提供详细的信息,但需要耗费大量人力,而且容易出现漏报。基于技术的记录和技术辅助记录利用移动应用程序和可穿戴传感器提供了高效的替代方法,但存在访问和隐私方面的问题。24 小时膳食回顾(24HR)方法可捕捉一天内的详细摄入量,传统方法和技术辅助方法可加强人群研究。自动多通道法(AMPM)和技术辅助 ASA24 分别代表了传统和现代的 24 小时膳食回顾法,两者都能获得全面的膳食数据。总之,膳食评估对了解膳食模式和健康影响至关重要。新技术的集成简化了数据收集和分析,提高了研究人员准确评估短期和长期膳食影响的能力。正确使用这些工具能使研究人员在膳食干预和公共卫生措施方面做出明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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