title: BMI is Associated with the Willingness to Record Diet  with  a  Mobile  Food  Record  among  Adults  Participating in Dietary Interventions.
abstract: Image-based dietary assessment methods have the potential to address respondent burden and improve engagement in the task of recording for dietary interventions. The aim of this study was to assess factors associated with the willingness of adults to take images of food and beverages using a mobile food record (mFR) application. A combined sample of 212 young adults and 73 overweight and obese adults completed a 4-day mobile food record on two occasions and a follow-up usability questionnaire. About 74% of participants stated they would record using the mFR for a longer period compared with a written record (29.4 ± 69.3 vs. 16.1 ± 42.6 days respectively; p < 0.0005). Multivariable logistic regression was used to identify those who were more likely to record mFR in the top tertile (≥14 days). After adjusting for age and gender, those with a BMI ≥ 25 were 1.68 times more likely (Odds Ratio 95% Confidence Interval: 1.02-2.77) than those with BMI < 25 to state a willingness to record with the mFR for ≥ 14 days. The greater willingness of overweight and obese individuals to record dietary intake using an mFR needs further examination to determine if this translates to more accurate estimates of energy intake.
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. d.kerr@curtin.edu.au.
authors.forename: Deborah A
authors.initials: DA
authors.lastname: Kerr
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. S.Dhaliwal@curtin.edu.au.
authors.forename: Satvinder S
authors.initials: SS
authors.lastname: Dhaliwal
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. c.pollard@curtin.edu.au.|Public Health Division, Department of Health in Western Australia, 189 Royal Street, East Perth 6004, Australia. c.pollard@curtin.edu.au.
authors.forename: Christina M
authors.initials: CM
authors.lastname: Pollard
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. richard.norman@curtin.edu.au.
authors.forename: Richard
authors.initials: R
authors.lastname: Norman
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. J.Wright@exchange.curtin.edu.au.
authors.forename: Janine L
authors.initials: JL
authors.lastname: Wright
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. amelia.harray@curtin.edu.au.
authors.forename: Amelia J
authors.initials: AJ
authors.lastname: Harray
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. charlene.shoneye@curtin.edu.au.
authors.forename: Charlene L
authors.initials: CL
authors.lastname: Shoneye
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. v.solah@curtin.edu.au.
authors.forename: Vicky A
authors.initials: VA
authors.lastname: Solah
authors.affiliation: School of Public Health, Curtin University, Perth 6845, Australia. W.Newton@exchange.curtin.edu.au.
authors.forename: Wendy J
authors.initials: WJ
authors.lastname: Hunt
authors.affiliation: School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. zhu0@ecn.purdue.edu.
authors.forename: Fengqing
authors.initials: F
authors.lastname: Zhu
authors.affiliation: School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. ace@ecn.purdue.edu.
authors.forename: Edward J
authors.initials: EJ
authors.lastname: Delp
authors.affiliation: Epidemiology Program, University of Hawaii Cancer Center, HI 96813, USA. CJBoushey@cc.hawaii.edu.|Nutrition Program, Purdue University, West Lafayette, IN 47907, USA. CJBoushey@cc.hawaii.edu.
authors.forename: Carol J
authors.initials: CJ
authors.lastname: Boushey
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015992:Body Mass Index; D004032:Diet; D015930:Diet Records; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D063731:Mobile Applications; D015999:Multivariate Analysis; D015596:Nutrition Assessment; D009765:Obesity / Q000628:therapy*; D050177:Overweight / Q000628:therapy*; D011795:Surveys and Questionnaires; D055815:Young Adult
keywords: mobile food record;  dietary assessment;  intervention;  novel technology;  overweight  adults;  young adults