Evidence map›Paper›PMID 36542772›Full record

ReviewAnnual review of public health2023

Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective.

Jennifer L Hicks, Melissa A Boswell, Tim Althoff, Alia J Crum, Joy P Ku, James A Landay, Paula M L Moya, Elizabeth L Murnane, Michael P Snyder, Abby C King and 1 more

Abstract readReview
In one paragraph

Review in Annual review of public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

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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

11 authors.

Jennifer L HicksDepartment of Bioengineering, Stanford University, Stanford, California, USA; email: jenhicks@stanford.edu.
Melissa A BoswellDepartment of Bioengineering, Stanford University, Stanford, California, USA; email: jenhicks@stanford.edu.
Tim AlthoffAllen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA.
Alia J CrumDepartment of Psychology, Stanford University, Stanford, California, USA.
Joy P KuDepartment of Bioengineering, Stanford University, Stanford, California, USA; email: jenhicks@stanford.edu.
James A LandayDepartment of Computer Science, Stanford University, Stanford, California, USA.
Paula M L MoyaDepartment of English and the Center for Comparative Studies in Race and Ethnicity, Stanford University, Stanford, California, USA.
Elizabeth L MurnaneSchool of Engineering, Dartmouth College, Hanover, New Hampshire, USA.
Michael P SnyderDepartment of Genetics, Stanford School of Medicine, Stanford University, Stanford, California, USA.
Abby C KingDepartment of Epidemiology and Population Health, and Department of Medicine (Stanford Prevention Research Center), Stanford School of Medicine, Stanford University, Stanford, California, USA.
Scott L DelpDepartment of Bioengineering and Department of Mechanical Engineering, Stanford University, Stanford, California, USA.

Funding

Stanford/Salk MoTrPAC Site for Genomes, Epigenomes and TranscriptomesU24DK112348 · NIDDK · STANFORD UNIVERSITY · PI Stephen Montgomery, MICHAEL P. SNYDER · 2017 to 2026
$18.4M
TR&D Project 3: OpenSim for PredictionP41EB027060 · NIBIB · STANFORD UNIVERSITY · PI SCOTT L DELP · 2020 to 2026
$9.7M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Technology DevelopmentP2CHD101913 · NICHD · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2020 to 2024
$4.1M
NIBIB NIH HHS P41 EB027060NICHD NIH HHS P2C HD101913NIDDK NIH HHS P30 DK092924NIDDK NIH HHS U24 DK112348
6 · The paper itself

Abstract

Health behaviors are inextricably linked to health and well-being, yet issues such as physical inactivity and insufficient sleep remain significant global public health problems. Mobile technology-and the unprecedented scope and quantity of data it generates-has a promising but largely untapped potential to promote health behaviors at the individual and population levels. This perspective article provides multidisciplinary recommendations on the design and use of mobile technology, and the concomitant wealth of data, to promote behaviors that support overall health. Using physical activity as anexemplar health behavior, we review emerging strategies for health behavior change interventions. We describe progress on personalizing interventions to an individual and their social, cultural, and built environments, as well as on evaluating relationships between mobile technology data and health to establish evidence-based guidelines. In reviewing these strategies and highlighting directions for future research, we advance the use of theory-based, personalized, and human-centered approaches in promoting health behaviors.

Indexed as

Health PromotionPublic HealthExerciseHealth BehaviorHumansTechnologyculturally relevant personalized medicinedigital healthhealth behavior changephysical activitywearable sensors

Identifiers

PMID36542772
PMCPMC10523351

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.