Evidence map›Paper›PMID 26086033›Full record

ArticleCurrent opinion in psychology2015

Mobile and Wireless Technologies in Health Behavior and the Potential for Intensively Adaptive Interventions.

William T Riley, Katrina J Serrano, Wendy Nilsen, Audie A Atienza

Abstract read
In one paragraph

Article in Current opinion in psychology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Technology-Based Interventions to Reduce Sexually Transmitted Infections and Unintended Pregnancy Among Youth.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2018
    Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Review
  9. Review
  10. Article
  11. Adaptations of an Effective Evidence-Based Pediatric Weight Management Intervention.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors.

William T RileyNational Cancer Institute, Division of Cancer Control and Population Sciences, Behavioral Research Program, Science of Research and Technology Branch.
Katrina J SerranoNational Cancer Institute, Division of Cancer Control and Population Sciences, Behavioral Research Program, Science of Research and Technology Branch.
Wendy NilsenNational Institutes of Health, Office of the Director, Office of Behavioral and Social Sciences Research.
Audie A AtienzaNational Cancer Institute, Division of Cancer Control and Population Sciences, Behavioral Research Program, Science of Research and Technology Branch.

Funding

Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Recent advances in mobile and wireless technologies have made real-time assessments of health behaviors and their influences possible with minimal respondent burden. These tech-enabled real-time assessments provide the basis for intensively adaptive interventions (IAIs). Evidence of such studies that adjust interventions based on real-time inputs is beginning to emerge. Although IAIs are promising, the development of intensively adaptive algorithms generate new research questions, and the intensive longitudinal data produced by IAIs require new methodologies and analytic approaches. Research considerations and future directions for IAIs in health behavior research are provided.

Identifiers

PMID26086033
PMCPMC4465113

What OpenQuestion holds

Textmetadata
LicenceTDM
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.