2020
DOI: 10.2196/16165
|View full text |Cite
|
Sign up to set email alerts
|

Describing the Process and Tools Adopted to Cocreate a Smartphone App for Obesity Prevention in Childhood: Mixed Method Study

Abstract: Background Childhood obesity prevention is a public health priority in industrialized countries. The Reggio Emilia Local Health Authority has implemented a program involving primary and secondary prevention as well as the care of obese children. There are many health-promoting mobile apps, but few are targeted to children and very few are sponsored by public health agencies. Objective The goal of the research was to describe the process and tools adopte… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 15 publications
(10 citation statements)
references
References 52 publications
0
10
0
Order By: Relevance
“…Health awareness, as a new construct in the theoretical model of user adoption of health management apps, did not release a significant effect on behavioral intention. Health awareness determines behavioral intention in numerous situations from previous research literature on factors influencing health behavior, e.g., juvenile workers toward influenza vaccination, self-monitoring via digital health in weight loss interventions [5] , the adoption of mHealth services in a developing country [13] , and smartphone apps for obesity prevention in childhood [22] . Possible reasons why health awareness does not significantly affect the behavioral intention of overweight or obese patients using health management apps include: the nationwide awakening of health awareness among users in mainland China, so that the influence of health awareness on behavioral intention cannot be effectively distinguished [32] ; the survey data was collected from the 2-year period of the COVID-19 pandemic, and numerous users gradually shaped their intention to use health management apps, which did not happen in sync with health awareness.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Health awareness, as a new construct in the theoretical model of user adoption of health management apps, did not release a significant effect on behavioral intention. Health awareness determines behavioral intention in numerous situations from previous research literature on factors influencing health behavior, e.g., juvenile workers toward influenza vaccination, self-monitoring via digital health in weight loss interventions [5] , the adoption of mHealth services in a developing country [13] , and smartphone apps for obesity prevention in childhood [22] . Possible reasons why health awareness does not significantly affect the behavioral intention of overweight or obese patients using health management apps include: the nationwide awakening of health awareness among users in mainland China, so that the influence of health awareness on behavioral intention cannot be effectively distinguished [32] ; the survey data was collected from the 2-year period of the COVID-19 pandemic, and numerous users gradually shaped their intention to use health management apps, which did not happen in sync with health awareness.…”
Section: Discussionmentioning
confidence: 99%
“…In the context of user acceptance of eHealth systems, perceived risk includes multi-dimensional constructs such as financial risk, social risk, product risk, and security risk [21] . Most weight management apps require users to provide detailed information, including name, gender, age, address, weight, diet, real-time location, and the security of these sensitive private information is a serious concern for users [22] . Thus, we hypothesize:…”
Section: Methodsmentioning
confidence: 99%
“…For data collection, 12 (67%) studies [30][31][32][33][34][35][36][37][38][39][40][41] used focus groups with semistructured interviews, 7 (39%) [20,30,[42][43][44][45][46] used individual interviews, and 1 (6%) [41] used nonparticipant observation. Regarding the electronic devices analyzed, 5 (28%) studies [20,30,38,41,42] used smartphone apps, 2 (11%) [37,40] used the Pokémon GO mobile game, 1 (6%) [45] used mobile text messages, 5 (28%) [31][32][33]39,44] used activity trackers, 4 (22%) [34][35][36]43] used active video games, and 1 (6%) [46] used virtual reality. [20,30,34,35,39,40,[43][44][45].…”
Section: Study Selection and Characteristicsmentioning
confidence: 99%
“…[20,30,34,35,39,40,[43][44][45]. Other limitations were that participants and their voices were not adequately represented in 3 (17%) studies [34,36,38] and that there was no congruity between the stated philosophical perspectives and the research questions or methodology [34,35].…”
Section: Study Selection and Characteristicsmentioning
confidence: 99%
See 1 more Smart Citation