Evidence map›Paper›PMID 18723566›Full record

ArticleJournal of pediatric psychology2009

Association of multiple behavioral risk factors with adolescents' willingness to engage in eHealth promotion.

Kenneth P Tercyak, Anisha A Abraham, Amanda L Graham, Lara D Wilson, Leslie R Walker

Abstract read
In one paragraph

Article in Journal of pediatric psychology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Parent participation plays an important part in promoting physical activity.International journal of qualitative studies on health and well-being · 2015
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. "Peers, parents and phones"--Swedish adolescents and health promotion.International journal of qualitative studies on health and well-being · 2012
    Article
  19. A behavior change model for internet interventions.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2009
    Article
  20. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kenneth P TercyakCancer Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 3300 Whitehaven Street, NW, Suite 4100, Washington, DC 20007-2401, USA. tercyakk@georgetown.edu
Anisha A Abraham
Amanda L Graham
Lara D Wilson
Leslie R Walker

Funding

Pediatric Cancer Prevention and ControlK07CA091831 · NCI · GEORGETOWN UNIVERSITY · PI TERCYAK, KENNETH · 2002 to 2006
$663k
NCI NIH HHS CA091831NCI NIH HHS K07 CA091831
6 · The paper itself

Abstract

objectiveThis 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.

methodsA 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).

resultsThe 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).

conclusionsAdolescents 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.

Indexed as

Health Services Needs and DemandRisk-TakingAdolescentAdolescent BehaviorAdultAge FactorsBody Mass IndexChildDepressionFemaleHealth PromotionHumansInternetMaleMotor ActivityRisk Factors

Identifiers

PMID18723566
PMCPMC2684486

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.