Cited by 76Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsMental Health Research Topics

Mobile and wireless technologies in health behavior and the potential for intensively adaptive interventions

Open access
Riley, William T, Serrano, Katrina J, Nilsen, Wendy, Atienza, Audie A·2015·Current Opinion in Psychology

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.copsyc.2015.03.024

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [6]Wright J Burgess DJ Advances in Delivery Science and Technology: Long Acting Injections and Implants 2012 Springer

Cited by

Sorted by citations

Authors
Riley, W. T., Serrano, K. J., Nilsen, W., & Atienza, A. A.
Affiliations
  • National Cancer Institute (UA)
  • National Institutes of Health (US)
Corresponding author
Riley, William T
Venue
Current Opinion in Psychology
Publisher
Elsevier BV
Published
2015-10
Volume
5
Pages
67-71
ISSN
2352-250X (ISSN-L)
OpenAlex
W2027315866
Cited by
76
References
37
Citations by year
2026: 1 · 2025: 4 · 2024: 3 · 2023: 12 · 2022: 2 · 2021: 4 · 2020: 7 · 2019: 7 · 2018: 7 · 2017: 16 · 2016: 8 · 2015: 4
FWCI
2.12
Type
journal article
Language
en
Open access
Locations
  • Current Opinion in Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health (Z99 CA999999)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
mobile health, wireless technology, health behavior, real-time assessment, intensive longitudinal data, adaptive algorithms, behavioral interventions

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 ›

Are you an author, or do you see a problem with this page? Request a review