Hawley-Hague Helen, Horne Maria, Campbell Malcolm, Demack Sean, Skelton Dawn A, Todd Chris
School of Nursing, Midwifery and Social Work, University of Manchester, UK.
Faculty of Development and Society, Sheffield Hallam University, Sheffield, UK.
Gerontologist. 2014 Aug;54(4):599-610. doi: 10.1093/geront/gnt075. Epub 2013 Jul 30.
To examine the influence of individual participant, instructor, and group factors on participants' attendance and adherence to community exercise classes for older adults.
Longitudinal data from 16 instructors, 26 classes, and 193 older participants within those classes (aged 60-100 years) were examined. Data were collected using questionnaires on individual participants' demographics, attitudes, health perceptions and conditions, and group cohesion. Instructors' demographics, training, background, experience, attitudes, and personality were collected. Group factors included class type, cost, transport, and whether the class was held in an area of deprivation. Outcomes (attendance/adherence) were collected through attendance records.
Multilevel modelling (MLwiN) revealed both instructor and individual participant variables were important in understanding attendance and adherence. Individuals' housing, education, mental well-being, group cohesion, and attitudes were important predictors of attendance at 3 and 6 months. Instructors' age, gender, experience, and motivational training were important at 3 months, whereas instructor personality was important at both 3 and 6 months. Having attended longer than 6 months at baseline, participants' attitudes, weeks offered, instructors' personality, and experience were associated with adherence at 6 months.
Results suggest that instructors' characteristics alongside individual participant factors play a role in influencing participants' attendance to exercise classes. These factors should be considered when setting up new programs.
研究个体参与者、教练及群体因素对老年人参加社区健身课程及坚持上课情况的影响。
对16名教练、26个课程以及这些课程中的193名老年参与者(年龄在60至100岁之间)的纵向数据进行了研究。通过问卷调查收集了个体参与者的人口统计学信息、态度、健康认知与状况以及群体凝聚力等数据。收集了教练的人口统计学信息、培训情况、背景、经验、态度和性格等数据。群体因素包括课程类型、费用、交通以及课程是否在贫困地区举办。通过出勤记录收集结果(出勤/坚持情况)。
多层次建模(MLwiN)显示,教练和个体参与者变量对于理解出勤和坚持情况都很重要。个体的住房情况、教育程度、心理健康、群体凝聚力和态度是3个月和6个月出勤情况的重要预测因素。教练的年龄、性别、经验和激励培训在3个月时很重要,而教练性格在3个月和6个月时都很重要。在基线时参加课程超过6个月的参与者,其态度、提供课程的周数、教练性格和经验与6个月时的坚持情况相关。
结果表明,教练的特征以及个体参与者因素在影响参与者参加健身课程方面发挥着作用。在制定新计划时应考虑这些因素。