Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

125
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
125

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Community-engaged design of a virtual diabetes prevention program intervention with care coordination.

BMC health services research·2026
Same author

The 2025-2030 Dietary Guidelines for Americans are associated with higher land, water and nitrogen use, and greenhouse gas emissions.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

On Health and Understanding: Signature Threats to Signal in an Age of Noise.

American journal of health promotion : AJHP·2026
Same author

Dietary assessment at the confluence of public and planetary health: introduction of the DIEM (Dietary Impacts on Environmental Measures) scoring system.

Frontiers in nutrition·2025
Same author

Effect of Daily Incorporation of Eggs in a Heart-Healthy Diet for 8 Weeks Compared with Their Exclusion on Cardio-Metabolic Risk Factors in Adults with Hyperlipidemia: A Randomized, Controlled, Crossover Trial.

Journal of the American Nutrition Association·2025
Same author

Perspective: Nutrition Research & Programming in Multicultural Populations: The Fixed-Quality Variable-Type (FQVT) Dietary Intervention.

Advances in nutrition (Bethesda, Md.)·2025

相关实验视频

Updated: Jul 14, 2025

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

7.3K

通过模式识别进行饮食评估:比较分析.

Adam M Bernstein1, Lauren Q Rhee1, Valentine Y Njike2

  • 1Diet ID, Inc., Detroit, MI, USA.

Current developments in nutrition
|October 9, 2023
PubMed
概括

饮食质量照片导航 (DQPN) 显示了与传统方法相比,对评估饮食质量的有效性和可靠性. 它的易用性支持将饮食评估纳入临床护理.

科学领域:

  • 营养科学 营养科学
  • 饮食评估方法的方法论
  • 医疗信息学 医疗信息学

背景情况:

  • 传统的饮食评估工具在医疗保健整合方面面临局限性.
  • 饮食质量照片导航 (DQPN) 是为了克服这些局限性而开发的.
  • 验证新的工具与既定方法相比是标准的做法.

研究的目的:

  • 评估饮食ID (DQPN) 与食物记录 (FR) 和食物频率问卷 (FFQ) 对饮食质量,食物组和营养摄入量的有效性.
  • 评估饮食ID (DQPN) 的测试可复制性和可靠性.

主要方法:

  • 通过在线平台招募了90名参与者,58人完成了评估.
  • 参与者完成了DQPN,为期3天的FR (自动自主24小时饮食评估工具) 和FFQ (饮食历史问卷III).
  • 估计平均营养素和食物组摄入量,并计算仪器之间的皮尔森相关性.

主要成果:

  • DQPN与FFQ (0.58) 和FR (0.56) 的饮食质量有很强的相关性.
  • 对于选定的营养素和食物组,观察到中等的相关性.
  • 对DQPN饮食质量评估的试验-重试可重复性产生了0.70.0的相关性.
关键词:
饮食质量 饮食质量饮食质量照片导航饮食评估 饮食评估营养 营养 营养 营养模式识别 模式识别 模式识别

更多相关视频

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.2K
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

5.8K

相关实验视频

Last Updated: Jul 14, 2025

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
04:46

'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake

Published on: September 18, 2018

7.3K
Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.2K
Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method
06:21

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

5.8K

结论:

  • DQPN表现出与传统工具估计整体饮食质量的可比性能的表现.
  • 该工具的易用性和可扩展性支持其在普遍临床饮食评估中的潜在作用.
  • DQPN可能会提高饮食评估在日常医疗保健中的整合.