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功能残疾变化率的决定因素:潜在增长曲线模型的应用

Determinants of rate of change in functional disability: An application of latent growth curve modeling.

作者信息

Chen Ya-Mei, Chen Duan-Rung, Chiang Tung-Liang, Tu Yu-Kang, Yu Hsiao-Wei

机构信息

Institute of Health Policy and Management, National Taiwan University. 6F, No. 17, Xu-Zhou Road, Taipei 100, Taiwan, ROC.

Institute of Health Behaviors and Community Sciences, National Taiwan University. 6F, No.17, Xu-Zhou Road, Taipei 100, Taiwan, ROC.

出版信息

Arch Gerontol Geriatr. 2016 May-Jun;64:21-8. doi: 10.1016/j.archger.2015.11.012. Epub 2015 Dec 29.

Abstract

Our aim was to identify disablement factors, including predisposing, intra-individual, and extra-individual factors, which predict the rate of change in general functional disability (GFD) in older adults. This study utilized the Taiwan Longitudinal Study on Aging Survey in 1996-2007 (N=3,186). Multiple-indicator latent growth curve modeling was used to examine how 12 disablement factors predicted the rate of change in GFD. GFD trajectories were modeled using Nagi's functional limitations, activities of daily living, and instrumental activities of daily living. Greater age (B=.025), female gender (B=.114), and greater numbers of comorbidities (B=.038) were associated with faster increase in GFD. Education (B=-.005) and participation in physically active leisure time activities (B=-.031) were associated with slower increase in GFD. Our findings add to the understanding of how disablement factors contribute to the rate of change in GFD. Predisposing factors played the main role. However, the factors we found to be associated with the rate of change in GFD in older adults were slightly different from the factors reported in the literature. Decreasing the number of comorbidities and increasing the level of physically active leisure time activity should be considered priorities for preventing disability as people age.

摘要

我们的目的是确定致残因素,包括易患因素、个体内因素和个体外因素,这些因素可预测老年人总体功能残疾(GFD)的变化率。本研究采用了1996 - 2007年台湾老年纵向研究(N = 3186)。多指标潜在增长曲线模型用于检验12个致残因素如何预测GFD的变化率。GFD轨迹采用纳吉的功能受限、日常生活活动和工具性日常生活活动进行建模。年龄较大(B = 0.025)、女性(B = 0.114)和更多的合并症(B = 0.038)与GFD的更快增加相关。教育程度(B = -0.005)和参与体育休闲活动(B = -0.031)与GFD的较慢增加相关。我们的研究结果有助于理解致残因素如何影响GFD的变化率。易患因素起主要作用。然而,我们发现的与老年人GFD变化率相关的因素与文献报道的因素略有不同。随着人们年龄增长,减少合并症数量和增加体育休闲活动水平应被视为预防残疾的优先事项。

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