Profile of physical activity levels in community-dwelling older adults

Profile of physical activity levels in community-dwelling older adults
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DOI:
10.1249/01.mss.0000181303.51937.9c
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发表时间:
2005-10-01
期刊:
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子:
--
通讯作者:
Lawson, JA
Lawson, JA
中科院分区:
其他
文献类型:
--
作者:
Chad, KE;Reeder, BA;Lawson, JA

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目的:研究选定的社会人口学、健康相关和环境因素与三个年龄段的老年人体力活动水平之间的关系。方法:来自加拿大一座中等城市的764名老年人(平均年龄为77.4+/-8.6岁)在研究人员的监督下完成了一份自填式问卷。采用老年人体力活动量表(PASE)测定体力活动水平。体力活动的相关因素通过先前有效的问卷进行了检验。研究结果与个人和环境因素有关。结果:总体而言,在以下类别中,这些人的PASS平均得分显著更高:男性(P<0.001)、已婚或同居(P<0.001)、不独居(P<0.001)、不住在老年人住房(P<0.001)、高教育水平(P<0.001)和高收入(P<0.001)。较好的身体健康状况与PASE评分呈显著正相关(P<0.001)。报告至少四种或更多慢性健康状况的个体的PASE得分显著低于那些报告没有慢性健康状况的个体(P<0.001)。在那些使用国内服务的人中,PASE得分也显著降低(P<0.001)。PASS得分较高与丘陵、自行车和步行道、路灯、各种娱乐设施、看到其他人活跃和无人看管的狗有关(P<0.001)。结论:了解影响老年人体育锻炼行为的因素,对于制定有效的干预策略,解决老年人缺乏体育锻炼的问题,从而改善老年人的健康状况和生活质量,同时对医疗保健支出产生重大影响,是至关重要的。
Purpose: To examine relationships between selected sociodemographic, health-related and environmental factors and levels of physical activity in older adults across three age groups. Methods: Seven hundred sixty-four older adults (mean age = 77.4 +/- 8.6 yr) from a midsize Canadian city completed a self-administered questionnaire under researcher supervision. Level of physical activity was determined using the Physical Activity Scale for the Elderly (PASE). Correlates of physical activity were examined using previously validated questionnaires. The findings pertaining to personal and environmental factors are presented. Results: Overall, significantly higher mean PASE scores were seen in those individuals in the following categories: male (P < 0.001), married or common-law (P < 0.001), not living alone (P < 0.001), not living in senior's housing (P < 0.001), higher levels of education (P < 0.001) and higher incomes (P < 0.001). Better physical health showed significant positive associations (P < 0.001) with PASE score. Individuals reporting at least four or more chronic health conditions had significantly lower PASE scores than those reporting no chronic conditions (P < 0.001). Significantly lower PASE scores were also reported in those using domestic services (P < 0.001). Higher PASE scores were related to the presence of hills, biking and walking trails, street lights, various recreation facilities, seeing others active and unattended dogs (P < 0.001 to P < 0.05). Conclusion: An understanding of the factors that influence physical activity behavior in older adults is critical to developing effective intervention strategies that will address the problem of physical inactivity in this population, and in doing so, improve the health status and quality of life of the older adult, while having a significant impact on healthcare expenditures.