Smith Kristy L, Carr Kelly, Wiseman Alexandra, Calhoun Kelly, McNevin Nancy H, Weir Patricia L
Department of Kinesiology, University of Windsor, Windsor, ON, Canada N9B 3P4.
J Aging Res. 2012;2012:890679. doi: 10.1155/2012/890679. Epub 2012 Sep 4.
The identification of barriers to physical activity and exercise has been used for many decades to explain exercise behavior in older adults. Typically health concerns are the number one barrier to participation. Data from CCHS-HA dataset (N = 20, 875) were used to generate a sample of Canadians, 60+ years, who did not identify a health condition limitation, illness, or injury as a barrier to participation in physical activity (n = 4,900) making this dataset unique in terms of the study of barriers to participation. While the vast majority of older adults participated in physical activity, 9.4% did not. The relationships between nonparticipation, barriers, self-reported health status, and chronic health conditions were determined using binary logistic regression. The main findings suggest that traditional barriers and self-reported health status are not responsible for nonparticipation. Nonparticipation was best predicted by chronic health conditions suggesting a disconnect between self-reported health status and underlying health conditions. The data are clear in suggesting that barriers are not the limiting factor and physical activity programming must be focused on meeting the health needs of our aging population.
几十年来,对身体活动和锻炼障碍的识别一直被用于解释老年人的锻炼行为。通常,健康问题是参与的首要障碍。来自加拿大社区健康调查-健康老龄化数据集(N = 20,875)的数据被用于生成一个60岁及以上加拿大人群的样本,这些人未将健康状况限制、疾病或损伤视为参与身体活动的障碍(n = 4,900),这使得该数据集在参与障碍研究方面具有独特性。虽然绝大多数老年人参与了身体活动,但仍有9.4%的人没有参与。使用二元逻辑回归确定了不参与、障碍、自我报告的健康状况和慢性健康状况之间的关系。主要研究结果表明,传统障碍和自我报告的健康状况并非导致不参与的原因。慢性健康状况最能预测不参与,这表明自我报告的健康状况与潜在健康状况之间存在脱节。数据清楚地表明,障碍不是限制因素,身体活动规划必须专注于满足我们老龄化人口的健康需求。