Cited by 396Mobile Health and mHealth ApplicationsDigital Mental Health InterventionsPhysical Activity and Health

The DOI matches its Crossref record; 94 of the 95 references it cites were found in a registry or an index.

Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors

Open access

Abstract

Because physical inactivity and unhealthy diets are highly prevalent, there is a need for cost-effective interventions that can reach large populations. Electronic health (eHealth) and mobile health (mHealth) solutions have shown promising outcomes and have expanded rapidly in the past decade. The purpose of this report is to provide an overview of the state of the evidence for the use of eHealth and mHealth in improving physical activity and nutrition behaviors in general and special populations. The role of theory in eHealth and mHealth interventions is addressed, as are methodological issues. Key recommendations for future research in the field of eHealth and mHealth are provided.

Overview

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Registry

Crossref · 10.1016/j.jneb.2015.12.006

Cites

94 of 94 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Vandelanotte, C., Müller, A. M., Short, C. E., Hingle, M., Nathan, N., Williams, S. L., Lopez, M. L., Parekh, S., & Maher, C. A.
Affiliations
  • Central Queensland University (AU)
  • University of Malaya (MY)
  • South Australian Health and Medical Research Institute (AU)
  • University of Arizona (US)
  • Hunter Medical Research Institute (AU)
  • Griffith University (AU)
  • University of South Australia (AU)
Corresponding author
Vandelanotte, Corneel
Venue
Journal of Nutrition Education and Behavior
Publisher
Elsevier BV
Published
2016-03
Volume
48
Issue
3
Pages
219-228.e1
ISSN
1499-4046 (ISSN-L)
OpenAlex
W2294434433
Cited by
396
References
95
Citations by year
2026: 18 · 2025: 30 · 2024: 37 · 2023: 35 · 2022: 59 · 2021: 54 · 2020: 43 · 2019: 43 · 2018: 36 · 2017: 30 · 2016: 11
FWCI
74.51
Type
journal article
Language
en
Open access
Locations
  • Journal of Nutrition Education and Behavior (publishedVersion)
  • PubMed (publishedVersion)
  • Acquire (CQUniversity) (submittedVersion)
  • National University of Singapore (submittedVersion)
  • UniSA Research Outputs Repository (University of South Australia) (submittedVersion)
  • SSRN Electronic Journal (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
  • ePrints Soton (University of Southampton) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • Griffith Research Online (submittedVersion)
  • NOVA (University of Newcastle Australia) (submittedVersion)
Funders
  • National Heart Foundation of Australia (ID100427)
  • University of Malaya/Ministry of Higher Education
  • National Health and Medical Research Council Early Career Fellowship
  • Postdoctoral Research Fellowship
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
Keywords
e-health, mobile health, physical activity, dietary behavior, nutrition behavior, physical inactivity, unhealthy diet, theory-based intervention, research recommendations, methodological issues
MeSH terms
Diet, Health Promotion, Humans, Health Behavior, Exercise, Telemedicine, Behavioral Research

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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.

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