Determining who responds better to a computer- vs. human-delivered physical activity intervention: results from the community health advice by telephone ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Eric B Hekler, Matthew P Buman, Jennifer Otten, Cynthia M Castro, Lauren Grieco, Bess Marcus, Robert H Friedman, Melissa A Napolitano, Abby C King

ABSTRACT

BACKGROUND: Little research has explored who responds better to an automated vs. human advisor for health behaviors in general, and for physical activity (PA) promotion in particular. The purpose of this study was to explore baseline factors (i.e., demographics, motivation, interpersonal style, and external resources) that moderate intervention efficacy delivered by either a human or automated advisor. METHODS: Data were from the CHAT Trial, a 12-month randomized controlled trial to increase PA among underactive older adults (full trial N = 218) via a human advisor or automated interactive voice response advisor. Trial results indicated significant increases in PA in both interventions by 12 months that were maintained at 18-months. Regression was used to explore moderation of the two interventions. RESULTS: Results indicated amotivation (i.e., lack of intent in PA) moderated 12-month PA (d = 0.55, p < 0.01) and private self-consciousness (i.e., tendency to attune to one's own inner thoughts and emotions) moderated 18-month PA (d = 0.34, p < 0.05) but a variety of other factors (e.g., demographics) did not (p > 0.12). CONCLUSIONS: Results provide preliminary evidence for generating hypotheses about pathways for supporting later clinical decision-making with regard to the use of either human- vs. computer-delivered interventions for PA promotion. More... »

PAGES

109

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1479-5868-10-109

DOI

http://dx.doi.org/10.1186/1479-5868-10-109

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042253152

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24053756


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1479-5868-10-109'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1479-5868-10-109'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1479-5868-10-109'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1479-5868-10-109'


 

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300 https://www.grid.ac/institutes/grid.253615.6 schema:alternateName George Washington University
301 schema:name George Washington University, Washington, DC, USA
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303 https://www.grid.ac/institutes/grid.266100.3 schema:alternateName University of California, San Diego
304 schema:name Department of Family and Preventive Medicine, University of California, San Diego, CA, USA
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306 https://www.grid.ac/institutes/grid.475010.7 schema:alternateName Boston University School of Medicine
307 schema:name School of Medicine, Boston University and Boston Medical Center, Boston, USA
308 rdf:type schema:Organization
 




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