Suppr超能文献

远程食物摄影法与自动化自我管理 24 小时膳食评估工具在测量学龄儿童全天膳食摄入量中的比较。

A comparison of the remote food photography method and the automated self-administered 24-h dietary assessment tool for measuring full-day dietary intake among school-age children.

机构信息

Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO80045, USA.

Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.

出版信息

Br J Nutr. 2022 Apr 28;127(8):1269-1278. doi: 10.1017/S0007114521001951. Epub 2021 Jun 4.

Abstract

The limitations of self-report measures of dietary intake are well-known. Novel, technology-based measures of dietary intake may provide a more accurate, less burdensome alternative to existing tools. The first objective of this study was to compare participant burden for two technology-based measures of dietary intake among school-age children: the Automated-Self-Administered 24-hour Dietary Assessment Tool-2018 (ASA24-2018) and the Remote Food Photography Method (RFPM). The second objective was to compare reported energy intake for each method to the Estimated Energy Requirement for each child, as a benchmark for actual intake. Forty parent-child dyads participated in two, 3-d dietary assessments: a parent proxy-reported version of the ASA24 and the RFPM. A parent survey was subsequently administered to compare satisfaction, ease of use and burden with each method. A linear mixed model examined differences in total daily energy intake between assessments, and between each assessment method and the Estimated Energy Requirement (EER). Reported energy intake was 379 kcal higher with the ASA24 than the RFPM (P = 0·0002). Reported energy intake with the ASA24 was 231 kcal higher than the EER (P = 0·008). Reported energy intake with the RFPM did not differ significantly from the EER (difference in predicted means = -148 kcal, P = 0·09). Median satisfaction and ease of use scores were five out of six for both methods. A higher proportion of parents reported that the ASA24 was more time-consuming than the RFPM (74·4 % v. 25·6 %, P = 0·002). Utilisation of both methods is warranted given their high satisfaction among parents.

摘要

自我报告的饮食摄入量测量方法存在局限性,这是众所周知的。基于新技术的饮食摄入量测量方法可能提供一种更准确、负担更小的替代现有工具的方法。本研究的第一个目标是比较两种基于技术的饮食摄入量测量方法在学龄儿童中的应用:自动化自我管理 24 小时膳食评估工具-2018(ASA24-2018)和远程食物摄影法(RFPM)。第二个目标是将每种方法的报告能量摄入量与每个孩子的估计能量需求进行比较,作为实际摄入量的基准。40 对父母-孩子参与了两项为期 3 天的饮食评估:ASA24 和 RFPM 的父母代理报告版本。随后进行了父母调查,以比较两种方法的满意度、易用性和负担。线性混合模型检查了两种评估方法之间以及每种评估方法与估计能量需求(EER)之间的总每日能量摄入量差异。与 RFPM 相比,ASA24 的报告能量摄入量高 379kcal(P=0·0002)。与 EER 相比,ASA24 的报告能量摄入量高 231kcal(P=0·008)。与 EER 相比,RFPM 的报告能量摄入量没有显著差异(预测均值差异为-148kcal,P=0·09)。两种方法的满意度和易用性评分中位数均为六分中的五分。与 RFPM 相比,更多的父母报告 ASA24 比 RFPM 更耗时(74.4%比 25.6%,P=0·002)。考虑到父母的高度满意度,两种方法都值得使用。

相似文献

3
Nutritional interventions for survivors of childhood cancer.
Cochrane Database Syst Rev. 2016 Aug 22;2016(8):CD009678. doi: 10.1002/14651858.CD009678.pub2.
6
Interventions to prevent obesity in children aged 5 to 11 years old.
Cochrane Database Syst Rev. 2024 May 20;5(5):CD015328. doi: 10.1002/14651858.CD015328.pub2.
7
Assessing the nutrient intake and diet quality of adults wearing dentures using the healthy eating index.
BMC Oral Health. 2025 Jul 2;25(1):996. doi: 10.1186/s12903-025-06182-0.
8
Home treatment for mental health problems: a systematic review.
Health Technol Assess. 2001;5(15):1-139. doi: 10.3310/hta5150.
9
Portion, package or tableware size for changing selection and consumption of food, alcohol and tobacco.
Cochrane Database Syst Rev. 2015 Sep 14;2015(9):CD011045. doi: 10.1002/14651858.CD011045.pub2.
10
Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods.
Cochrane Database Syst Rev. 2015 Jul 27;2015(7):MR000042. doi: 10.1002/14651858.MR000042.pub2.

引用本文的文献

1
Adaptation of the Remote Food Photography Method to Assess Infant Intake During Bottle-Feeding of Ready-to-Feed Formula.
Matern Child Nutr. 2025 Jul;21(3):e70016. doi: 10.1111/mcn.70016. Epub 2025 Mar 17.
4
Dietary Behavior Assessments in Children-A Mixed-Method Research Exploring the Perspective of Pediatric Dieticians on Innovative Technologies.
Curr Dev Nutr. 2023 Apr 26;7(6):100091. doi: 10.1016/j.cdnut.2023.100091. eCollection 2023 Jun.
5
A Multimethod Evaluation of the Futuros Fuertes Intervention to Promote Healthy Feeding, Screen Time, and Sleep Practices.
Acad Pediatr. 2023 Sep-Oct;23(7):1351-1360. doi: 10.1016/j.acap.2023.05.006. Epub 2023 May 19.
6
The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort.
Am J Epidemiol. 2023 Aug 4;192(8):1249-1263. doi: 10.1093/aje/kwad071.
7
A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation.
Sensors (Basel). 2022 Feb 15;22(4):1493. doi: 10.3390/s22041493.

本文引用的文献

1
Association between Body Composition, Physical Activity, Food Intake and Bone Status in German Children and Adolescents.
Int J Environ Res Public Health. 2020 Oct 6;17(19):7294. doi: 10.3390/ijerph17197294.
3
Understanding childhood obesity in the US: the NIH environmental influences on child health outcomes (ECHO) program.
Int J Obes (Lond). 2020 Mar;44(3):617-627. doi: 10.1038/s41366-019-0470-5. Epub 2019 Oct 24.
5
Beyond Nutrient Intake: Use of Digital Food Photography Methodology to Examine Family Dinnertime.
J Nutr Educ Behav. 2019 May;51(5):547-555.e1. doi: 10.1016/j.jneb.2019.01.020. Epub 2019 Feb 28.
8
Evaluation of the Healthy Eating Index-2015.
J Acad Nutr Diet. 2018 Sep;118(9):1622-1633. doi: 10.1016/j.jand.2018.05.019.
9
Update of the Healthy Eating Index: HEI-2015.
J Acad Nutr Diet. 2018 Sep;118(9):1591-1602. doi: 10.1016/j.jand.2018.05.021.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验