Suppr超能文献

预测慢性受损老年人随时间推移支持情况的个体变化。

Predicting individual change in support over time among chronically impaired older adults.

作者信息

Reinhardt Joann P, Boerner Kathrin, Benn Dolores

机构信息

Arlene R. Gordon Research Institute, Lighthouse International, 111 East 59th Street, New York, New York 10022, USA.

出版信息

Psychol Aging. 2003 Dec;18(4):770-9. doi: 10.1037/0882-7974.18.4.770.

Abstract

Hierarchical linear modeling was used to examine the degree of individual change in friendship and family networks and support over time as a function of sociodemographic characteristics, rehabilitation use, and disability. Participants, 449 older adults, had age-related vision loss, a common, chronic impairment that tends to worsen over time. Three interviews were conducted (baseline and 6- and 18-month follow-ups). All network and support variables showed a decrease over time. Regarding factors predicting individual variation, age (younger) and education (lower) were associated with greater baseline friendship support, rehabilitation was related to maintaining a larger friend network, and disability was positively associated with family network and support. Results supported the importance of examining rates of individual change and factors associated with variability in multiple support components by relationship type.

摘要

采用分层线性模型,以社会人口学特征、康复利用情况和残疾状况为函数,研究友谊和家庭网络随时间的个体变化程度以及支持情况。449名老年参与者患有与年龄相关的视力丧失,这是一种常见的慢性损伤,且往往会随着时间的推移而恶化。研究进行了三次访谈(基线访谈以及6个月和18个月的随访)。所有网络和支持变量均随时间下降。关于预测个体差异的因素,年龄(较小)和教育程度(较低)与更高的基线友谊支持相关,康复与维持更大的朋友网络有关,残疾与家庭网络和支持呈正相关。结果支持了按关系类型检查个体变化率以及与多种支持成分变异性相关因素的重要性。

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