Clarke Clare L, Sniehotta Falko F, Vadiveloo Thenmalar, Argo Ishbel S, Donnan Peter T, McMurdo Marion E T, Witham Miles D
School of Medicine, University of Dundee, Dundee, Scotland, UK.
Institute of Health and Society, Newcastle University, Newcastle, England, UK.
BMC Geriatr. 2017 Aug 14;17(1):180. doi: 10.1186/s12877-017-0578-1.
Cross-sectional relationships between physical activity and health have been explored extensively, but less is known about how physical activity changes with time in older people. The aim of this study was to assess baseline predictors of how objectively measured physical activity changes with time in older people.
Longitudinal cohort study using data from the Physical Activity Cohort Scotland. A sample of community-dwelling older people aged 65 and over were recruited in 2009-2011, then followed up 2-3 years later. Physical activity was measured using Stayhealthy RT3 accelerometers over 7 days. Other data collected included baseline comorbidity, health-related quality of life (SF-36), extended Theory of Planned Behaviour Questionnaire and Social Capital Module of the General Household Survey. Associations between follow-up accelerometer counts and baseline predictors were analysed using a series of linear regression models, adjusting for baseline activity levels and follow-up time.
Follow up data were available for 339 of the original 584 participants. The mean age was 77 years, 185 (55%) were female and mean follow up time was 26 months. Mean activity counts fell by between 2% per year (age < =80, deprivation decile 5-10) and 12% per year (age > 80, deprivation decile 5-10) from baseline values. In univariate analysis age, sex, deprivation decile, most SF-36 domains, most measures of social connectedness, most measures from the extended Theory of Planned Behaviour, hypertension, diabetes mellitus, chronic pain and depression score were significantly associated with adjusted activity counts at follow-up. In multivariate regression age, satisfactory friend network, SF-36 physical function score, and the presence of diabetes mellitus were independent predictors of activity counts at follow up after adjustment for baseline count and duration of follow up.
Health status and social connectedness, but not extended Theory of Planned Behaviour measures, independently predicted changes in physical activity in community dwelling older people.
体力活动与健康之间的横断面关系已得到广泛研究,但对于老年人的体力活动如何随时间变化却知之甚少。本研究的目的是评估老年人客观测量的体力活动随时间变化的基线预测因素。
采用苏格兰体力活动队列研究的数据进行纵向队列研究。2009年至2011年招募了65岁及以上居住在社区的老年人样本,然后在2至3年后进行随访。使用Stayhealthy RT3加速度计测量7天的体力活动。收集的其他数据包括基线合并症、健康相关生活质量(SF-36)、扩展的计划行为理论问卷和综合住户调查的社会资本模块。使用一系列线性回归模型分析随访加速度计计数与基线预测因素之间的关联,并对基线活动水平和随访时间进行调整。
原始的584名参与者中有339人有随访数据。平均年龄为77岁,185人(55%)为女性,平均随访时间为26个月。从基线值来看,平均活动计数每年下降2%(年龄<=80岁,贫困十分位数5-10)至12%(年龄>80岁,贫困十分位数5-10)。在单变量分析中,年龄、性别、贫困十分位数、大多数SF-36领域、大多数社会联系测量指标、扩展的计划行为理论的大多数测量指标、高血压、糖尿病、慢性疼痛和抑郁评分与随访时调整后的活动计数显著相关。在多变量回归中,年龄、满意的朋友网络、SF-36身体功能评分和糖尿病的存在是在对基线计数和随访持续时间进行调整后随访时活动计数的独立预测因素。
健康状况和社会联系,而非扩展的计划行为理论测量指标,独立预测了社区居住老年人的体力活动变化。