Reported Energy Intake Accuracy Compared to Doubly Labeled Water and Usability of the Mobile Food Record among Community Dwelling Adults.
The mobile Food Record (mFR) is an image-based dietary assessment method for mobile devices. The study primary aim was to test the accuracy of the mFR by comparing reported energy intake (rEI) to total energy expenditure (TEE) using the doubly labeled water (DLW) method. Usability of the mFR was assessed by questionnaires before and after the study. Participants were 45 community dwelling men and women, 21-65 years. They were provided pack-out meals and snacks and encouraged to supplement with usual foods and beverages not provided. After being dosed with DLW, participants were instructed to record all eating occasions over a 7.5 days period using the mFR. Three trained analysts estimated rEI from the images sent to a secure server. rEI and TEE correlated significantly (Spearman correlation coefficient of 0.58,p< 0.0001). The mean percentage of underreporting below the lower 95% confidence interval of the ratio of rEI to TEE was 12% for men (standard deviation (SD) ± 11%) and 10% for women (SD ± 10%). The results demonstrate the accuracy of the mFR is comparable to traditional dietary records and other image-based methods. No systematic biases could be found. The mFR was received well by the participants and usability was rated as easy.
Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA. cjboushey@cc.hawaii.edu.
Carol J
CJ
Boushey
Department for Structural Advancement and Quality Management in Health Care, Technical University Berlin, Berlin 10632, Germany. Melissa.spoden@googlemail.com.
Melissa
M
Spoden
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. ace@ecn.purdue.edu.
Edward J
EJ
Delp
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. zhu0@ecn.purdue.edu.
Fengqing
F
Zhu
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA. Marc.Bosch.Ruiz@jhuapl.edu.
Marc
M
Bosch
Motorola Mobility LLC, Chicago, IL 60654, USA. ziad@motorola.com.
Ziad
Z
Ahmad
Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI 96813, USA. yshvetso@cc.hawaii.edu.
Yurii B
YB
Shvetsov
Department of Medicine, Division of Endocrinology and Metabolism, University of Pittsburgh, Pittsburgh, PA 15213, USA. jpd21@pitt.edu.
James P
JP
DeLany
School of Public Health, Curtin University, Perth WA 6845, Australia. d.kerr@curtin.edu.au.
Deborah A
DA
Kerr
D000328:Adult; D000368:Aged; D015992:Body Mass Index; D001835:Body Weight; D040421:Cell Phone; D015930:Diet Records; D002149:Energy Intake; D004734:Energy Metabolism; D005260:Female; D006801:Humans; D008297:Male; D062407:Meals; D008875:Middle Aged; D015596:Nutrition Assessment; D010781:Photography; D015203:Reproducibility of Results; D012424:Rural Population; D011795:Surveys and Questionnaires; D055815:Young Adult
adults; dietary assessment; doubly labeled water; image-based dietary assessment; mobile food record