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本文引用的文献

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People with a body mass index ⩾30 under-report their dietary intake: A systematic review.身体质量指数 ⩾30 的人会少报他们的饮食摄入量:系统评价。
J Health Psychol. 2019 Dec;24(14):2042-2059. doi: 10.1177/1359105317714318. Epub 2017 Jul 21.
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Strategies for Successful Recruitment of Pregnant Patients Into Clinical Trials.成功招募孕妇参与临床试验的策略
Obstet Gynecol. 2017 Mar;129(3):554-559. doi: 10.1097/AOG.0000000000001900.
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Preconceptional and maternal obesity: epidemiology and health consequences.孕前和母体肥胖:流行病学和健康后果。
Lancet Diabetes Endocrinol. 2016 Dec;4(12):1025-1036. doi: 10.1016/S2213-8587(16)30217-0. Epub 2016 Oct 12.
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Energy Intake and Energy Expenditure for Determining Excess Weight Gain in Pregnant Women.用于确定孕妇体重过度增加的能量摄入与能量消耗
Obstet Gynecol. 2016 May;127(5):884-892. doi: 10.1097/AOG.0000000000001372.
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A Mobile Phone Based Method to Assess Energy and Food Intake in Young Children: A Validation Study against the Doubly Labelled Water Method and 24 h Dietary Recalls.一种基于手机评估幼儿能量和食物摄入量的方法:与双标水法和24小时膳食回顾法的验证研究
Nutrients. 2016 Jan 15;8(1):50. doi: 10.3390/nu8010050.
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Gestational Weight Gain - United States, 2012 and 2013.2012年和2013年美国妊娠期体重增加情况
MMWR Morb Mortal Wkly Rep. 2015 Nov 6;64(43):1215-20. doi: 10.15585/mmwr.mm6443a3.
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Measuring food intake with digital photography.利用数码摄影测量食物摄入量。
J Hum Nutr Diet. 2014 Jan;27 Suppl 1(0 1):72-81. doi: 10.1111/jhn.12014. Epub 2013 Jul 15.
8
Self-report-based estimates of energy intake offer an inadequate basis for scientific conclusions.基于自我报告的能量摄入估计值为科学结论提供的依据并不充分。
Am J Clin Nutr. 2013 Jun;97(6):1413-5. doi: 10.3945/ajcn.113.062125.
9
Can we modify the intrauterine environment to halt the intergenerational cycle of obesity?我们能否改变子宫内环境以阻断肥胖的代际循环?
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Effects of interventions in pregnancy on maternal weight and obstetric outcomes: meta-analysis of randomised evidence.干预妊娠对产妇体重和产科结局的影响:随机证据的荟萃分析。
BMJ. 2012 May 16;344:e2088. doi: 10.1136/bmj.e2088.

肥胖孕妇的食物摄影不能准确衡量能量摄入。

Food Photography Is Not an Accurate Measure of Energy Intake in Obese, Pregnant Women.

机构信息

Reproductive Endocrinology and Women's Health Laboratory, Biostatistics Core, Ingestive Behavior Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA.

Department of Women's Health, Dell Medical School, University of Texas, Austin, TX.

出版信息

J Nutr. 2018 Apr 1;148(4):658-663. doi: 10.1093/jn/nxy009.

DOI:10.1093/jn/nxy009
PMID:29659958
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6167554/
Abstract

BACKGROUND

To improve weight management in pregnant women, there is a need to deliver specific, data-based recommendations on energy intake.

OBJECTIVE

This cross-sectional study evaluated the accuracy of an electronic reporting method to measure daily energy intake in pregnant women compared with total daily energy expenditure (TDEE).

METHODS

Twenty-three obese [mean ± SEM body mass index (kg/m2): 36.9 ± 1.3] pregnant women (aged 28.3 ±1.1 y) used a smartphone application to capture images of their food selection and plate waste in free-living conditions for ≥6 d in early (13-16 wk) and late (35-37 wk) pregnancy. Energy intake was evaluated by the smartphone application SmartIntake and compared with simultaneous assessment of TDEE obtained by doubly labeled water. Accuracy was defined as reported energy intake compared with TDEE (percentage of TDEE). Ecological momentary assessment prompts were used to enhance data reporting. Two-one-sided t tests for the 2 methods were used to assess equivalency, which was considered significant when accuracy was >80%.

RESULTS

Energy intake reported by the SmartIntake application was 63.4% ± 2.3% of TDEE measured by doubly labeled water (P = 1.00). Energy intake reported as snacks accounted for 17% ± 2% of reported energy intake. Participants who used their own phones compared with participants who used borrowed phones captured more images (P = 0.04) and had higher accuracy (73% ± 3% compared with 60% ± 3% of TDEE; P = 0.01). Reported energy intake as snacks was significantly associated with the accuracy of SmartIntake (P = 0.03). To improve data quality, excluding erroneous days of likely underreporting (<60% TDEE) improved the accuracy of SmartIntake, yet this was not equivalent to TDEE (-22% ± 1% of TDEE; P = 1.00).

CONCLUSIONS

Energy intake in obese, pregnant women obtained with the use of an electronic reporting method (SmartIntake) does not accurately estimate energy intake compared with doubly labeled water. However, accuracy improves by applying criteria to eliminate erroneous data. Further evaluation of electronic reporting in this population is needed to improve compliance, specifically for reporting frequent intake of small meals. This trial was registered at www.clinicaltrials.gov as NCT01954342.

摘要

背景

为改善孕妇的体重管理,需要提供特定的、基于数据的能量摄入建议。

目的

本横断面研究评估了一种电子报告方法在测量孕妇日常能量摄入方面的准确性,与总能量消耗(TDEE)相比。

方法

23 名肥胖孕妇(平均 ± SEM 体重指数(kg/m2):36.9 ± 1.3)在孕早期(13-16 周)和孕晚期(35-37 周)自由生活条件下使用智能手机应用程序拍摄食物选择和餐盘浪费的图像,持续至少 6 天。通过智能手机应用程序 SmartIntake 评估能量摄入,并与同时通过双标记水评估的 TDEE 进行比较。准确性定义为报告的能量摄入与 TDEE 相比(TDEE 的百分比)。使用生态瞬时评估提示来增强数据报告。使用双单侧 t 检验评估两种方法的等效性,当准确性大于 80%时,认为等效性显著。

结果

SmartIntake 应用程序报告的能量摄入占双标记水测量的 TDEE 的 63.4% ± 2.3%(P=1.00)。报告的零食摄入量占报告能量摄入量的 17% ± 2%。与使用借来的手机的参与者相比,使用自己手机的参与者拍摄的图像更多(P=0.04),准确性更高(SmartIntake 为 73% ± 3%,TDEE 为 60% ± 3%;P=0.01)。报告的零食摄入量与 SmartIntake 的准确性显著相关(P=0.03)。为了提高数据质量,排除可能低估的错误天数(<60% TDEE)可提高 SmartIntake 的准确性,但这与 TDEE 并不等效(-22% ± 1% TDEE;P=1.00)。

结论

使用电子报告方法(SmartIntake)获得的肥胖孕妇的能量摄入与双标记水相比,不能准确估计能量摄入。然而,通过应用标准消除错误数据可提高准确性。需要进一步评估该人群的电子报告以提高依从性,特别是对频繁摄入小餐的报告。本试验在 www.clinicaltrials.gov 注册为 NCT01954342。