Dietary Assessment by Pattern Recognition: a Comparative Analysis

被引:5
作者
Bernstein, Adam M. [1 ]
Rhee, Lauren Q. [1 ]
Njike, Valentine Y. [2 ]
Katz, David L. [1 ]
机构
[1] Diet ID Inc, Detroit, MI 48226 USA
[2] Griffin Hosp, Yale Griffin Prevent Res Ctr, Derby, CT USA
关键词
dietary assessment; diet quality photo navigation; pattern recognition; diet quality; nutrition; FALSE MEMORIES; NUTRITION; HEALTH;
D O I
10.1016/j.cdnut.2023.101999
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: Diet quality photo navigation (DQPN) is a novel dietary intake assessment tool that was developed to help address limitations of traditional tools and to easily integrate into health care delivery systems. Prevailing practice is to validate new tools against approaches that are in wide use.Objective: This study aimed to assess 1) the validity of Diet ID in measuring diet quality, food group and nutrient intake against 2 traditional dietary assessment methods (i.e., food record [FR], food frequency questionnaire) and 2) the test reproducibility/reliability of Diet ID to obtain similar results with repeat assessments.Methods: Using a participant-sourcing platform for online research, we recruited 90 participants, 58 of whom completed DQPN, a 3-d FR (via the Automated Self-Administered 24-hour Dietary Assessment Tool), and a food frequency questionnaire (FFQ, via the Dietary History Questionnaire III). We estimated mean nutrient and food group intake with all 3 instruments and generated Pearson correlations between them.Results: Mean age (SD) of participants was 38 (11) y, and more than half were male (64%). The strongest correlations for DQPN when compared with the other 2 instruments were for diet quality, as measured by the Healthy Eating Index 2015; between DQPN and the FFQ, the correlation was 0.58 (P < 0.001), and between DQPN and the FR, the correlation was 0.56 (P < 0.001). Selected nutrients and food groups also showed moderate strength correlations. Test-retest reproducibility for measuring diet quality was evaluated for DQPN and showed a correlation of 0.70 (P < 0.0001).Conclusions: The current study offers evidence that DQPN is comparable to traditional dietary assessment tools for estimating overall diet quality. This performance, plus DQPN's ease-of-use and scalability, may recommend it in efforts to make dietary assessment a universal part of clinical care.
引用
收藏
页数:7
相关论文
共 30 条
[1]   Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 [J].
Afshin, Ashkan ;
Sur, Patrick John ;
Fay, Kairsten A. ;
Cornaby, Leslie ;
Ferrara, Giannina ;
Salama, Joseph S. ;
Mullany, Erin C. ;
Abate, Kalkidan Hassen ;
Abbafati, Cristiana ;
Abebe, Zegeye ;
Afarideh, Mohsen ;
Aggarwal, Anju ;
Agrawal, Sutapa ;
Akinyemiju, Tomi ;
Alahdab, Fares ;
Bacha, Umar ;
Bachman, Victoria F. ;
Badali, Hamid ;
Badawi, Alaa ;
Bensenor, Isabela M. ;
Bernabe, Eduardo ;
Biryukov, Stan H. ;
Biadgilign, Sibhatu Kassa K. ;
Cahill, Leah E. ;
Carrero, Juan J. ;
Cercy, Kelly M. ;
Dandona, Lalit ;
Dandona, Rakhi ;
Anh Kim Dang ;
Degefa, Meaza Girma ;
Zaki, Maysaa El Sayed ;
Esteghamati, Alireza ;
Esteghamati, Sadaf ;
Fanzo, Jessica ;
Farinha, Carla Sofia E. Sa ;
Farvid, Maryam S. ;
Farzadfar, Farshad ;
Feigin, Valery L. ;
Fernandes, Joao C. ;
Flor, Luisa Sorio ;
Foigt, Nataliya A. ;
Forouzanfar, Mohammad H. ;
Ganji, Morsaleh ;
Geleijnse, Johanna M. ;
Gillum, Richard F. ;
Goulart, Alessandra C. ;
Grosso, Giuseppe ;
Guessous, Idris ;
Hamidi, Samer ;
Hankey, Graeme J. .
LANCET, 2019, 393 (10184) :1958-1972
[2]   Implausible Data, False Memories, and the Status Quo in Dietary Assessment [J].
Archer, Edward ;
Blair, Steven N. .
ADVANCES IN NUTRITION, 2015, 6 (02) :229-230
[3]  
ars, 2022, Food and Nutrient Database for Dietary Studies
[4]  
Bernstein A., 2021, RES IDEAS OUTCOMES, V7, pe70642, DOI [10.3897/rio.7.e70642, DOI 10.3897/RIO.7.E70642]
[5]   The Consequences of False Memories for Food Preferences and Choices [J].
Bernstein, Daniel M. ;
Loftus, Elizabeth F. .
PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, 2009, 4 (02) :135-139
[6]   Alternative Dietary Indices Both Strongly Predict Risk of Chronic Disease [J].
Chiuve, Stephanie E. ;
Fung, Teresa T. ;
Rimm, Eric B. ;
Hu, Frank B. ;
McCullough, Marjorie L. ;
Wang, Molin ;
Stampfer, Meir J. ;
Willett, Walter C. .
JOURNAL OF NUTRITION, 2012, 142 (06) :1009-1018
[7]   Rapid, Digital Dietary Assessment in Association with Cardiometabolic Biomarkers [J].
Dansinger, Michael L. L. ;
Breton, Gary L. L. ;
Joly, Justin E. E. ;
Rhee, Lauren Q. Q. ;
Katz, David L. L. .
AMERICAN JOURNAL OF HEALTH PROMOTION, 2023, 37 (06) :835-840
[8]  
Dietary Assessment Primer, 2022, Evaluating the Measurement Error Structure of Self-Report Dietary Assessment Instruments
[9]  
Dietary Assessment Primer, 2022, Key Concepts about validation
[10]  
Dietary Assessment Primer, 2022, Learn More About Energy Adjustment