Computer Prompt Software to Reduce Sedentary Behavior and Promote Physical Activity Among Desk-Based Workers: A Systematic Review.

behavioral change disease prevention health promotion work breaks workplace

Journal

Human factors
ISSN: 1547-8181
Titre abrégé: Hum Factors
Pays: United States
ID NLM: 0374660

Informations de publication

Date de publication:
08 2023
Historique:
medline: 26 7 2023
pubmed: 17 8 2021
entrez: 16 8 2021
Statut: ppublish

Résumé

Do computer prompt software programs at the workplace reduce sitting time and/or increase physical activity at work? Many products are promoted and being used in the workplace; however, their effectiveness and use are unknown or the evidence base that they work to change behavior is lacking. We searched for relevant papers published between 2005 and 2020. The inclusion criteria were computer prompt software programs installed as behavioral change interventions; interventions implemented during work hours and delivered through a work personal computer or laptop; and measures of sedentary behavior and/or physical activity. To minimize risk of bias, three recommended best-evidence synthesis criteria were used: random assignment, sample size, and external validity. Based on these criteria, articles were selected and evaluated. Six publications met the quality threshold for review. Seven articles did not meet the quality threshold. Four of the six included publications found that computer prompt software programs decreased sedentary behavior and/or increased physical activity. Two publications reported inconsistent results. The promising results from this systematic review indicate that there is potential for computer prompt software programs to improve the health of desk-based workers. For conclusive findings, more high-quality, scientific studies are needed. The best-evidence publications in this review can serve as a guide in selecting and implementing computer prompt software programs at the workplace to decrease sedentary behavior and increase physical activity.

Sections du résumé

OBJECTIVE
Do computer prompt software programs at the workplace reduce sitting time and/or increase physical activity at work?
BACKGROUND
Many products are promoted and being used in the workplace; however, their effectiveness and use are unknown or the evidence base that they work to change behavior is lacking.
METHOD
We searched for relevant papers published between 2005 and 2020. The inclusion criteria were computer prompt software programs installed as behavioral change interventions; interventions implemented during work hours and delivered through a work personal computer or laptop; and measures of sedentary behavior and/or physical activity. To minimize risk of bias, three recommended best-evidence synthesis criteria were used: random assignment, sample size, and external validity. Based on these criteria, articles were selected and evaluated.
RESULTS
Six publications met the quality threshold for review. Seven articles did not meet the quality threshold. Four of the six included publications found that computer prompt software programs decreased sedentary behavior and/or increased physical activity. Two publications reported inconsistent results.
CONCLUSIONS
The promising results from this systematic review indicate that there is potential for computer prompt software programs to improve the health of desk-based workers. For conclusive findings, more high-quality, scientific studies are needed.
APPLICATION
The best-evidence publications in this review can serve as a guide in selecting and implementing computer prompt software programs at the workplace to decrease sedentary behavior and increase physical activity.

Identifiants

pubmed: 34392738
doi: 10.1177/00187208211034271
doi:

Types de publication

Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

891-908

Auteurs

Wendell C Taylor (WC)

The University of Texas Medical Branch at Galveston, USA.

Jordan R Williams (JR)

The University of Texas Health Science Center at Houston, USA.

Lauren E Harris (LE)

The University of Texas Health Science Center at Houston, USA.

Ross Shegog (R)

The University of Texas Health Science Center at Houston, USA.

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Classifications MeSH