QUESTION: How has adherence been measured in recent prospective studies focusing on adherence to exercise programs among older people? What is the range of adherence rates? Which factors are associated with better adherence? DESIGN: Systematic review of prospective studies that had a primary aim of assessing adherence to exercise programs. PARTICIPANTS: Older people undertaking exercise programs. INTERVENTION: Exercise programs. OUTCOME MEASURES: Measures of adherence, adherence rates and factors associated with adherence. RESULTS: Nine eligible papers were identified. The most common adherence measures were the proportion of participants completing exercise programs (ie, did not cease participation, four studies, range 65 to 86%), proportion of available sessions attended (five studies, range 58 to 77%) and average number of home exercise sessions completed per week (two studies, range 1.5 to 3 times per week). Adherence rates were generally higher in supervised programs. The person-level factors associated with better adherence included: demographic factors (higher socioeconomic status, living alone); health status (fewer health conditions, better self-rated health, taking fewer medications); physical factors (better physical abilities); and psychological factors (better cognitive ability, fewer depressive symptoms). CONCLUSION: Older people's adherence to exercise programs is most commonly measured with dropout and attendance rates and is associated with a range of program and personal factors.
QUESTION: How has adherence been measured in recent prospective studies focusing on adherence to exercise programs among older people? What is the range of adherence rates? Which factors are associated with better adherence? DESIGN: Systematic review of prospective studies that had a primary aim of assessing adherence to exercise programs. PARTICIPANTS: Older people undertaking exercise programs. INTERVENTION: Exercise programs. OUTCOME MEASURES: Measures of adherence, adherence rates and factors associated with adherence. RESULTS: Nine eligible papers were identified. The most common adherence measures were the proportion of participants completing exercise programs (ie, did not cease participation, four studies, range 65 to 86%), proportion of available sessions attended (five studies, range 58 to 77%) and average number of home exercise sessions completed per week (two studies, range 1.5 to 3 times per week). Adherence rates were generally higher in supervised programs. The person-level factors associated with better adherence included: demographic factors (higher socioeconomic status, living alone); health status (fewer health conditions, better self-rated health, taking fewer medications); physical factors (better physical abilities); and psychological factors (better cognitive ability, fewer depressive symptoms). CONCLUSION: Older people's adherence to exercise programs is most commonly measured with dropout and attendance rates and is associated with a range of program and personal factors.
Authors: M Lauzé; D D Martel; A Agnoux; M-J Sirois; M Émond; R Daoust; M Aubertin-Leheudre Journal: J Nutr Health Aging Date: 2018 Impact factor: 4.075
Authors: Mary Stuart; Alexander W Dromerick; Richard Macko; Francesco Benvenuti; Brock Beamer; John Sorkin; Sarah Chard; Michael Weinrich Journal: Neurorehabil Neural Repair Date: 2019-07-11 Impact factor: 3.919
Authors: Marko D M Stojanović; Mladen J Mikić; Zoran Milošević; Jovan Vuković; Tatjana Jezdimirović; Vlatko Vučetić Journal: J Sports Sci Med Date: 2021-03-01 Impact factor: 2.988
Authors: Machiko R Tomita; Nadine M Fisher; Dan Ramsey; Kathleen Stanton; Bruce J Naughton Journal: J Am Geriatr Soc Date: 2019-06-17 Impact factor: 5.562
Authors: Miriam C Morey; Cathy C Lee; Steven Castle; Willy M Valencia; Leslie Katzel; Jamie Giffuni; Teresa Kopp; Heather Cammarata; Michelle McDonald; Kris A Oursler; Timothy Wamsley; Chani Jain; Janet P Bettger; Megan Pearson; Kenneth M Manning; Orna Intrator; Peter Veazie; Richard Sloane; Jiejin Li; Daniel C Parker Journal: J Am Geriatr Soc Date: 2018-02-12 Impact factor: 5.562