PMID- 32839035
OWN - NLM
STAT- MEDLINE
DCOM- 20210816
LR  - 20210816
IS  - 1532-1983 (Electronic)
IS  - 0261-5614 (Linking)
VI  - 39
IP  - 10
DP  - 2020 Oct
TI  - Validity of image-based dietary assessment methods: A systematic review and 
      meta-analysis.
PG  - 2945-2959
LID - S0261-5614(20)30403-9 [pii]
LID - 10.1016/j.clnu.2020.08.002 [doi]
AB  - BACKGROUND & AIMS: Image-assisted or image-based dietary assessments (IBDAs) 
      refer to the use of food images as the primary dietary record and have emerged as 
      key methods for evaluating habitual dietary intake; however, the validity of 
      image-assisted or IBDAs is still unclear, and no meta-analysis has been 
      conducted. Our aim was to investigate the validity of IBDAs in assessing energy 
      intake (EI) and macronutrients compared to biomarker-based (double-labeled water 
      (DLW)) and traditional methods of 24-h dietary recall (24-HDR) and 
      estimated/weighed food records (WFRs). METHODS: A systematic review and 
      meta-analysis were performed according to Preferred Reporting Items for 
      Systematic Reviews and Meta-Analyses (PRISMA) guidelines using the PubMed, 
      EMBASE, and Cochrane Central Register of Controlled Trials databases. Of the 4346 
      papers identified, 13 studies met the inclusion criteria, comprising 606 
      participants. RESULTS: The overall weighted mean difference (WMD) in EI showed 
      significant under-reporting (WMD = -179.32 kcal, 95% confidence interval 
      (CI): -269.50 to -89.15 kcal; I(2) = 89%), with the greatest difference observed 
      between tests and DLW (WMD = -448.04 kcal, 95% CI: -755.52 to -140.56 kcal; 
      I(2) = 95%). A small non-significant trend towards under-reporting of 
      carbohydrates (CHOs) was observed (WMD = -9.17 g, 95% CI: -20.58 to 2.24 g; 
      I(2) = 64%), but no differences were found in protein (WMD = -0.08 g, 95% 
      CI: -3.94 to 3.79 g; I(2) = 68%, p < 0.01) or fat (WMD = -0.57 g, 95% CI: -2.58 
      to 1.43 g; I(2) = 12%, p = 0.35). A meta-regression analysis found potential 
      effects of the body-mass index (tests vs. DLW: beta = 34.9, p = 0.063) and duration 
      of the assessment (tests vs. WFR: beta = -66.5, p = 0.002) on EI; age (tests vs. 
      24-HDR: beta = -2.222, p = 0.019) and duration of the assessment (tests vs. WFR: 
      beta = -9.19, p = 0.013) on CHO intake; duration of the assessment on protein intake 
      (tests vs. WFR: beta = -3.2250, p = 0.0175); and duration of the assessment on fat 
      intake (tests vs. WFR: beta = -1.07, p = 0.040). CONCLUSIONS: Except for DLW, no 
      statistical difference was found between IBDAs and traditional methods. This 
      suggests that like traditional methods, image-based methods have serious 
      measurement errors, and more studies are needed to determine inherent measurement 
      errors in IBDAs.
CI  - Copyright (c) 2020 Elsevier Ltd and European Society for Clinical Nutrition and 
      Metabolism. All rights reserved.
FAU - Ho, Dang Khanh Ngan
AU  - Ho DKN
AD  - School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical 
      University, Taipei, Taiwan.
FAU - Tseng, Sung-Hui
AU  - Tseng SH
AD  - Department of Physical Medicine and Rehabilitation, Taipei Medical University 
      Hospital, Taipei, Taiwan; Department of Physical Medicine and Rehabilitation, 
      School of Medicine, College of Medicine, Taipei Medical University, Taipei, 
      Taiwan.
FAU - Wu, Meng-Chieh
AU  - Wu MC
AD  - School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical 
      University, Taipei, Taiwan.
FAU - Shih, Chun-Kuang
AU  - Shih CK
AD  - School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical 
      University, Taipei, Taiwan.
FAU - Atika, Anif Prameswari
AU  - Atika AP
AD  - Public Health Graduate Program, Faculty of Medicine, Public Health, and Nursing, 
      Universitas Gadjah Mada, Yogyakarta, Indonesia.
FAU - Chen, Yang-Ching
AU  - Chen YC
AD  - School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical 
      University, Taipei, Taiwan; Department of Family Medicine, Taipei Medical 
      University Hospital, Taipei, Taiwan; Department of Family Medicine, School of 
      Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; 
      Graduate Institute of Metabolism and Obesity Sciences, College of Nutrition, 
      Taipei Medical University, Taipei, Taiwan.
FAU - Chang, Jung-Su
AU  - Chang JS
AD  - School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical 
      University, Taipei, Taiwan; Graduate Institute of Metabolism and Obesity 
      Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan; 
      Nutrition Research Center, Taipei Medical University Hospital, Taipei, Taiwan; 
      Chinese Taipei Society for the Study of Obesity (CTSSO), Taipei, Taiwan. 
      Electronic address: susanchang@tmu.edu.tw.
LA  - eng
PT  - Journal Article
PT  - Meta-Analysis
PT  - Systematic Review
DEP - 20200812
PL  - England
TA  - Clin Nutr
JT  - Clinical nutrition (Edinburgh, Scotland)
JID - 8309603
SB  - IM
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - *Diet
MH  - *Diet Records
MH  - Energy Intake
MH  - Feeding Behavior
MH  - Female
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Nutritive Value
MH  - *Photography
MH  - Predictive Value of Tests
MH  - Reproducibility of Results
MH  - Young Adult
OTO - NOTNLM
OT  - Food photography
OT  - Image-based dietary assessment
OT  - Meta-analysis
OT  - Validity
COIS- Conflicts of interest The authors declare that no competing interest exists.
EDAT- 2020/08/26 06:00
MHDA- 2021/08/17 06:00
CRDT- 2020/08/26 06:00
PHST- 2019/12/30 00:00 [received]
PHST- 2020/05/12 00:00 [revised]
PHST- 2020/08/01 00:00 [accepted]
PHST- 2020/08/26 06:00 [pubmed]
PHST- 2021/08/17 06:00 [medline]
PHST- 2020/08/26 06:00 [entrez]
AID - S0261-5614(20)30403-9 [pii]
AID - 10.1016/j.clnu.2020.08.002 [doi]
PST - ppublish
SO  - Clin Nutr. 2020 Oct;39(10):2945-2959. doi: 10.1016/j.clnu.2020.08.002. Epub 2020 
      Aug 12.