Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions

Scott Sittig, Aleise McGowan, Sriram Iyengar

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

In this extensive review of behavioral digital obesity interventions, we reviewed randomized control trials aimed at weight loss or maintaining weight loss and identifying persuasive categories and principles that drive these interventions. The following databases were searched for long-term obesity interventions: Medline, PsycINFO, Academic Search Complete, CINAHL and Scopus. The inclusion criteria included the following search terms: obesity, overweight, weight reduction, weight loss, obesity management, and diet control. Additional criteria included randomized control trial, ≥ 6 months intervention, ≥ 100 participants and must include persuasive technology. Forty-six publications were in the final review. Primary task support was the most frequently utilized persuasive system design (PSD) category and self-monitoring was the most utilized PSD principle. Behavioral obesity interventions that utilized PSD with a behavior change theory more frequently produced statistically significant weight loss findings. Persuasive technology and PSD in digital health play a significant role in the management and improvement of obesity especially when aligned with behavior change theories. Understanding which PSD categories and principles work best for behavioral obesity interventions is critical and future interventions might be more effective if they were based on these specific PSD categories and principles.

Original languageEnglish (US)
Article number128
JournalJournal of Medical Systems
Volume44
Issue number7
DOIs
StatePublished - Jul 1 2020
Externally publishedYes

Keywords

  • Behavior change
  • Digital health
  • mHealth
  • Obesity
  • Persuasive system design
  • Persuasive technology

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management

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