Predictors and effects of participation in peer support : a prospective structural equation modeling analysis

Guadalupe X. Ayala, Juliana C. Chan, Andrea Cherrington, John P. Elder, Edwin B. Fisher, Michele Heisler, Annie Green Howard, Humberto Parada, Monika Safford, David Simmons, Tricia S. Tang

Research output: Contribution to journalArticlepeer-review

Abstract

Peer support provides benefits across varied health concerns. As opposed to simple offer of support, however, predictors of and importance of levels of participation are not well understood. Analyses of 7 peer support interventions, with 1,612 participants address these questions, first identifying characteristics that predict participation, and then examining whether, controlling for those characteristics, participation itself predicts benefit, using reduced HbA1c as an indicator of benefit.
Original languageEnglish
Number of pages2
JournalDiabetes
Volume69
Issue numberSuppl. 1
DOIs
Publication statusPublished - 2020

Fingerprint

Dive into the research topics of 'Predictors and effects of participation in peer support : a prospective structural equation modeling analysis'. Together they form a unique fingerprint.

Cite this