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Individual and Parental Factors of Adolescents' mHealth App Use : Nationally Representative Cross-sectional Study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F22%3A00129268" target="_blank" >RIV/00216224:14230/22:00129268 - isvavai.cz</a>

  • Result on the web

    <a href="https://mhealth.jmir.org/2022/12/e40340/" target="_blank" >https://mhealth.jmir.org/2022/12/e40340/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2196/40340" target="_blank" >10.2196/40340</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Individual and Parental Factors of Adolescents' mHealth App Use : Nationally Representative Cross-sectional Study

  • Original language description

    Background: Knowledge of the characteristics of adolescents who use mobile health (mHealth) apps to monitor health and how these characteristics differ from those of app nonusers is limited. Objective: We aimed to determine mHealth app use based on adolescent and parental factors, including sociodemographics, digital skills, and health indicators, in a nationally representative sample of Czech adolescents (N=2500). Methods: Adolescents aged 11 to 16 years and one of their parents participated in an online survey in 2021. A professional research agency recruited the participants. Quotas were used to ensure the sample’s representativeness. The sociodemographic factors were the adolescents’ age, gender, and parental perceived financial security. The adolescents also provided information about their screen time, eHealth literacy, BMI, health anxiety, physical activity, and sleep quality. Parents reported their digital skills, mobile phone attitudes, and the mediation of their children’s online health information–seeking behaviors. We evaluated the differences between the users and nonusers of mHealth apps and identified the significant predictors of mHealth app use. Next, we separately examined how these factors were associated with the use of mHealth apps that track calorie intake or expenditure, number of steps, weight, or sports activity (eg, exercise, running, and working out), as well as other mHealth apps (eg, those that track sleep and heart rate). Results: More than half of the adolescents (1429/2455, 58.21%) reported using mHealth apps. App users were relatively older and, more often, girls. Apps that counted the number of steps were used most frequently, and adolescents whose parents reported higher perceived financial security used them more regularly. Overall, being older and physically active and having higher eHealth literacy skills were associated with using mHealth apps. Adolescents with higher BMI, health anxiety, and lower sleep quality more frequently used mHealth apps to track calorie intake or expenditure, weight, and health indicators. mHealth apps to track physical activity were used more regularly by girls. There was a positive association between parental mediation of online health information–seeking behaviors and adolescents’ mHealth app use. Conclusions: These findings demonstrated that older age, physical activity, and eHealth literacy skills were the common underlying factors of adolescents’ mHealth app use. We initially showed parents as significant role models for their children’s adoption of, and engagement with, mHealth apps when they actively mediate their online health information–seeking behaviors. Improving the eHealth literacy skills of adolescents through parental guidance might enhance health technology use in this population. Tracking eating behaviors, weight, and health were more prevalent for adolescents who reported higher BMI, health anxiety, and lower sleep quality. Future research studies should examine the determinants and health outcomes of adolescents’ mHealth app use longitudinally.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50101 - Psychology (including human - machine relations)

Result continuities

  • Project

    <a href="/en/project/GX19-27828X" target="_blank" >GX19-27828X: Modelling the future: Understanding the impact of technology on adolescent’s well-being</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    JMIR mHealth and uHealth

  • ISSN

    2291-5222

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    CA - CANADA

  • Number of pages

    13

  • Pages from-to

    1-13

  • UT code for WoS article

    000994302100003

  • EID of the result in the Scopus database

    2-s2.0-85144588720