Open AccessPredictors of Dropout in Exercise Trials in Older Adults: The Generation 100 Study
Author(s) -
Hallgeir Viken,
Line Skarsem Reitlo,
Nina Zisko,
Javaid Nauman,
Nils Petter Aspvik,
Jan Erik Ingebrigtsen,
Ulrik Wisløff,
Dorthe Stensvold
Publication year - 2019
Publication title -
medicine and science in sports and exercise
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.703
H-Index - 224
eISSN - 1530-0315
pISSN - 0195-9131
DOI - 10.1249/mss.0000000000001742
Subject(s) - cardiorespiratory fitness , dropout (neural networks) , medicine , logistic regression , physical therapy , randomized controlled trial , grip strength , randomization , gerontology , machine learning , computer science
Dropout from exercise programs, both in the real world and in research, is a challenge, and more information on dropout predictors is needed for establishing strategies to increase the likelihood of maintaining participants in a prescribed exercise program. The aim of the present study was to determine the dropout rate and its predictors during a 3-yr exercise program in older adults.