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dc.contributor.authorFazzino, Tera L.
dc.contributor.authorMartin, Corby K.
dc.contributor.authorForbush, Kelsie T.
dc.date.accessioned2021-01-22T20:05:13Z
dc.date.available2021-01-22T20:05:13Z
dc.date.issued2018-03-22
dc.identifier.citationFazzino TL, Martin CK, Forbush K The Remote Food Photography Method and SmartIntake App for the Assessment of Alcohol Use in Young Adults: Feasibility Study and Comparison to Standard Assessment Methodology JMIR Mhealth Uhealth 2018;6(9):e10460en_US
dc.identifier.urihttp://hdl.handle.net/1808/31213
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractBackground: Heavy drinking is prevalent among young adults and may contribute to obesity. However, measurement tools for assessing caloric intake from alcohol are limited and rely on self report, which is prone to bias. Objective: The purpose of our study was to conduct feasibility testing of the Remote Food Photography Method and the SmartIntake app to assess alcohol use in young adults. Aims consisted of (1) quantifying the ability of SmartIntake to capture drinking behavior, (2) assessing app usability with the Computer System Usability Questionnaire (CSUQ), (3) conducting a qualitative interview, and (4) comparing preference, usage, and alcohol use estimates (calories, grams per drinking episode) between SmartIntake and online diet recalls that participants completed for a parent study. Methods: College students (N=15) who endorsed a pattern of heavy drinking were recruited from a parent study. Participants used SmartIntake to send photographs of all alcohol and food intake over a 3-day period and then completed a follow-up interview and the CSUQ. CSUQ items range from 1-7, with lower scores indicating greater usability. Total drinking occasions were determined by adding the number of drinking occasions captured by SmartIntake plus the number of drinking occasions participants reported that they missed capturing. Usage was defined by the number of days participants provided food/beverage photos through the app, or the number of diet recalls completed. Results: SmartIntake captured 87% (13/15) of total reported drinking occasions. Participants rated the app as highly usable in the CSUQ (mean 2.28, SD 1.23). Most participants (14/15, 93%) preferred using SmartIntake versus recalls, and usage was significantly higher with SmartIntake than recalls (42/45, 93% vs 35/45, 78%; P=.04). Triple the number of participants submitted alcohol reports with SmartIntake compared to the recalls (SmartIntake 9/15, 60% vs recalls 3/15, 20%; P=.06), and 60% (9/15) of participants reported drinking during the study. Conclusions: SmartIntake was acceptable to college students who drank heavily and captured most drinking occasions. Participants had higher usage of SmartIntake compared to recalls, suggesting SmartIntake may be well suited to measuring alcohol consumption in young adults. However, 40% (6/15) did not drink during the brief testing period and, although findings are promising, a longer trial is needed.en_US
dc.publisherJMIR Publicationsen_US
dc.rights©Tera L Fazzino, Corby K Martin, Kelsie Forbush. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), DOI: 24.09.2018.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectAlcohol consumptionen_US
dc.subjectAlcohol college studentsen_US
dc.subjectAlcohol assessmenten_US
dc.subjectDietary assessmenten_US
dc.subjectSelf reporten_US
dc.subjectMobile phoneen_US
dc.subjectMobile healthen_US
dc.subjectEhealthen_US
dc.subjectPhotographyen_US
dc.subjectYoung adultsen_US
dc.titleThe Remote Food Photography Method and SmartIntake App for the Assessment of Alcohol Use in Young Adults: Feasibility Study and Comparison to Standard Assessment Methodologyen_US
dc.typeArticleen_US
kusw.kuauthorFazzino, Tera
kusw.kudepartmentPsychologyen_US
dc.identifier.doi10.2196/10460en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2896-9791en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8125-4015en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-5900-4204en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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©Tera L Fazzino, Corby K Martin, Kelsie Forbush. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), DOI: 24.09.2018.
Except where otherwise noted, this item's license is described as: ©Tera L Fazzino, Corby K Martin, Kelsie Forbush. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), DOI: 24.09.2018.