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Frequency of ubiquitous connectivity and associated factors among Mexican adolescents

Authors :
Arturo Aguilar-Ye
Hortensia Reyes-Morales
Lourdes Campero
Nicéforo Garnelo-Bibiano
Source :
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-7 (2019)
Publication Year :
2019
Publisher :
BMC, 2019.

Abstract

Abstract Background There is limited information in Mexico - a middle-income country and a digital adopter with an important demographic bonus - regarding the potential use of technology and connectivity in health promotion among adolescent population. Therefore, the objective of this study was to determine the proportion of adolescents connected ubiquitously; and to identify its associated factors for the further development of mobile health interventions. Methods An online survey of adolescents from state of Morelos, Mexico, was conducted in 2016. Explored individual socio-educational and school technological infrastructure characteristics and habits of use of mobile technologies. A logistic regression model was fitted to identify variables associated with ubiquitous connectivity. Results One thousand three hundred thirty-six students were included and six questionnaires (0.45%) were eliminated due to duplication of information. Fifty-four percent of participants were female, and the mean age was 16.31 ± 0.84 years. In total, 47% of students were ubiquitously connected. Associated factors to ubiquitous connectivity included better academic performance, the need to use Internet-based technologies, engaging in ludic activities on the Web and living in the state capital. Conclusions Ubiquitous connectivity it’s a desirable condition for strengthening health promotion programs focused on young population. Strategies including digital technology tools with potential to increase adolescent engagement should be explored and evaluated. However, it is necessary to recognize that there are additional factors that may influence the success of health promotion interventions.

Details

Language :
English
ISSN :
14726947
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.7b2e3d2a83d446bf93f18d6d789182df
Document Type :
article
Full Text :
https://doi.org/10.1186/s12911-019-0922-9