Health and Fitness App Use in College Students: A Qualitative Study

Gowin, Mary; Cheney, Marshall K.; Gwin, Shannon; Wann, Taylor Franklin

doi:10.1080/19325037.2015.1044140

Cited by 127 publications

(169 citation statements)

References 26 publications

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“…Autocomplete functions (41,93,98), crowdsourcing-based semi-automated approaches (51), barcode scanners and drop-down menus (51,56), and comprehensive (exact products and brands) databases improved logging (93,98). Additionally, reports of progress based on logging commenting on overall diet quality, rather than just calorie tracking, were highly valued (38,43,93,95,(97)(98)(99). Narrative game-style applications (typically games with a character and storyline) were more appealing to adolescents than adults, and emotional and social realism were important for motivation (50,62,77,85,89).…”

Section: Evaluation Of Featuresmentioning

confidence: 99%

“…The importance of the application being functional without an internet connection was expressed by all population groups (36,40,45,68,90,95,98), with data access particularly limited for adolescents (40). Excessive data entry for setup and logins was reportedly undesirable (36,93,98,99). Crowdsourcing data from users was useful for providing a comprehensive back-end food database (53,58) and tailoring feedback on meal healthiness (62).…”

Section: Evaluation Of Featuresmentioning

confidence: 99%

“…Adults and overweight populations generally valued quiz-style games if they were quick to play and included incentives such as real rewards (70,74,85). Competition, team participation, and social interaction motivated engagement with applications across all population groups (48,50,77,78,80,90,99), but negative scoring of points was not well understood by low-SES populations (77). Young adults in particular emphasized that social networking and sharing must be voluntary and not automatic (65,93,98,99).…”

Section: Evaluation Of Featuresmentioning

confidence: 99%

“…All 7 dietary self-monitoring trials (38-44), 13 nutritionimprovement trials (36, 47, 48, 50-53, 56-58, 60, 62, 63), 21 discreet application-development projects (64, 65, 68, 70, 72-80, 83, 85, 86, 88-92), and 6 qualitative application-development studies included applications with or a discussion of nutrition-relevant features (93,(95)(96)(97)(98)(99). Table 2 demonstrates the great diversity in the application features used and lists all features found within the reports.…”

Section: Application Featuresmentioning

confidence: 99%

“…Of the 4818 titles identified from the database search, 64 articles were included: 9 reporting dietary self-monitoring trials (38)(39)(40)(41)(42)(43)(44)(45)(46), 18 reporting nutritionimprovement trials (36,(47)(48)(49)(50)(51)(52)(53)(54)(55)(56)(57)(58)(59)(60)(61)(62)(63), 30 reporting applicationdevelopment projects (37,, and 7 reporting qualitative studies with consumers (93)(94)(95)(96)(97)(98)(99). Five reports were published in 2016, 16 each in 2015 and 2014, 11 in 2013, and 16 between 2008 and 2012.…”

Section: Overviewmentioning

confidence: 99%

See 4 more Smart Citations

Characteristics of Smartphone Applications for Nutrition Improvement in Community Settings: A Scoping Review

Tonkin

Brimblecombe

Wycherley

2017

Advances in Nutrition

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Smartphone applications are increasingly being used to support nutrition improvement in community settings. However, there is a scarcity of practical literature to support researchers and practitioners in choosing or developing health applications. This work maps the features, key content, theoretical approaches, and methods of consumer testing of applications intended for nutrition improvement in community settings. A systematic, scoping review methodology was used to map published, peer-reviewed literature reporting on applications with a specific nutrition-improvement focus intended for use in the community setting. After screening, articles were grouped into 4 categories: dietary selfmonitoring trials, nutrition improvement trials, application description articles, and qualitative application development studies. For mapping, studies were also grouped into categories based on the target population and aim of the application or program. Of the 4818 titles identified from the database search, 64 articles were included. The broad categories of features found to be included in applications generally corresponded to different behavior change support strategies common to many classic behavioral change models. Key content of applications generally focused on food composition, with tailored feedback most commonly used to deliver educational content. Consumer testing before application deployment was reported in just over half of the studies. Collaboration between practitioners and application developers promotes an appropriate balance of evidence-based content and functionality. This work provides a unique resource for program development teams and practitioners seeking to use an application for nutrition improvement in community settings. Adv Nutr 2017;8:308-22.

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