Social networks and disability transitions across eight intervals of yearly data in the New Haven EPESE
Social networks and disability transitions across eight intervals of yearly data in the New Haven EPESE
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DOI：
10.1093/geronb/54b.3.s162
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发表时间：
1999-05-01
影响因子：
6.2
通讯作者：
Berkman, LF
中科院分区：
文献类型：
--
作者：
de Leon, CFM;Glass, TA;Berkman, LF
目标.有大量证据表明，社交网络与生存和其他健康结果密切相关。然而，关于社交网络对残疾结果的影响的研究结果并不一致。本研究探讨这种关系方面的风险发展残疾和残疾康复。数据来自纽黑文65岁及以上人口的社区样本，1982年至1991年期间进行了9次年度访谈。残疾通过6项日常生活活动（ADL）指数和3项Rosow-Breslau指数进行测量，残疾定义为每项测量中一项或多项任务的损伤。社会网络变量的四个领域的关系：儿童，亲戚，朋友，和知己，和总社交网络的总结措施。在控制了社会人口学和健康相关变量后，使用马尔可夫模型估计所有8个时间间隔的平均一年残疾转换。总的社交网络与发展ADL残疾的风险显著降低相关（β =-0.009，p
Objectives. There is considerable evidence that social networks are strongly related to survival and other health outcomes. However, findings regarding the effect of social networks on disability outcomes have been inconsistent. This study examines this relationship with respect to the risk of developing disability and recovering from disability.Methods. Data come from a community-based sample of the New Haven population aged 65 years and older, with nine annual interviews conducted between 1982 and 1991. Disability was measured by a 6-item index of activities of daily living (ADL), and a 3-item Rosow-Breslau index, with disability defined as impairment in one or more tasks on each measure. Social network variables were constructed for each of four domains of ties: children, relatives, friends, and a confidant, and a summary measure of total social networks. A Markov model was used to estimate one-year disability transitions averaged across all 8 intervals, after controlling for sociodemographic and health-related variables.Results. Total social networks was associated with a significantly reduced risk of developing ADL disability (beta = -0.009, p