Association of Multiple Behavioral Risk Factors with Adolescents' Willingness to Engage in eHealth Promotion
Open accessAbstract
OBJECTIVE: This study examines adolescents' willingness to use the internet and other forms of technology for health promotion purposes (i.e., "eHealth promotion" willingness) and determines if a relationship exists between adolescents' behavioral risks and their eHealth promotion willingness. METHODS: A total of 332 adolescents provided data at a routine medical check-up, including assessments of technology access, eHealth promotion willingness, and multiple behavioral risk factors for child- and adult-onset disease (body mass index, physical activity, smoking, sun protection, depression). RESULTS: The level of access to technology among the sample was high, with moderate willingness to engage in eHealth promotion. After adjusting for adolescents' access to technology, the presence of multiple behavioral risk factors was positively associated with willingness to use technology for health promotion purposes (beta =.12, p =.03). CONCLUSIONS: Adolescents with both single and multiple behavioral risk factors are in need of health promotion to prevent the onset of disease later in life. eHealth appears to be an acceptable and promising intervention approach with this population.
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User traits can function as predictors or be modified together with the target problem.
“In fact, these user characteristics may serve as predictor variables [20, 21] or be targeted for change along with the identified problem.”
From A Behavior Change Model for Internet Interventions (2009) · cites this paper as [21]
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A Behavior Change Model for Internet Interventions
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“Internet and mobile app interventions may be particularly appealing to adolescents and young adults in cancer treatment [74].”
BackgroundAttitudes Toward e-Mental Health Services in a Community Sample of Adults: Online Survey
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“Although there has been some prior work demonstrating a relationship between individual characteristics and willingness to participate in online treatments [49], whether these same characteristics equally predict later effective engagement is not clear.”
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- Authors
- Tercyak, K. P., Abraham, A. A., Graham, A. L., Wilson, L. D., & Walker, L. R.
- Affiliations
- Georgetown University Medical Center (US)
- Seattle Children's Hospital (US)
- ORCID
- Graham, A. L.
- Venue
- Journal of Pediatric Psychology
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-08-22
- Volume
- 34
- Issue
- 5
- Pages
- 457-469
- ISSN
- 0146-8693 (ISSN-L)
- 1465-735X
- PMC
- PMC2684486
- OpenAlex
- W2151348277
- Cited by
- 50
- References
- 111
- Citations by year
- 2026: 1 · 2022: 3 · 2021: 1 · 2020: 2 · 2019: 3 · 2018: 3 · 2017: 5 · 2016: 2 · 2015: 6 · 2014: 8 · 2013: 3 · 2012: 6
- FWCI
- 4.51
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Pediatric Psychology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (K07CA091831, CA 091831)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Health › Social Media in Health Education
- Keywords
- adolescents, behavioral risk factors, access to technology, internet use, body mass index, physical activity, adolescent smoking, sun protection, depression, chronic disease prevention
- MeSH terms
- Adolescent, Adolescent Behavior, Adult, Age Factors, Child, Depression, Female, Health Promotion, Health Services Needs and Demand, Humans, Male, Motor Activity, Surveys and Questionnaires, Risk Factors, Risk-Taking, Smoking, Body Mass Index, Internet, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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