Who participates? Accounting for longitudinal retention in the MIDUS national study of health and well-being.

Who participates? Accounting for longitudinal retention in the MIDUS national study of health and well-being.
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DOI:
10.1177/0898264309358617
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发表时间:
2010-04
影响因子:
2.8
通讯作者:
Ryff CD
Ryff CD
中科院分区:
医学3区
文献类型:
--
作者:
Radler BT;Ryff CD

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本文使用MIDUS(美国中年)的数据(一项针对美国人(N = 7,108)的全国性研究)来调查预测纵向保留的因素。由于其广泛的年龄范围(时间1时为25-75岁)和长期设计(9- 10年的调查间隔),MIDUS可用于调查持续参与的常见社会人口统计学和健康预测因素。作者对基线社会人口统计学和健康变量进行了逻辑回归分析,预测保留。选择交互作用项检查目标变量之间的相互作用。与先前的研究一致,在白人,女性和已婚人士以及健康状况较好和受教育程度较高的人中发现了较高的保留率。互动分析进一步阐明,(a)健康状况更好地预测了老年人与年轻人相比以及女性与男性相比的留用情况;(B)婚姻状况更好地预测了白人与非白人相比以及女性与男性相比的留用情况;(c)经济状况更好地预测了功能健康状况较差者的留用情况。作者的分析澄清了纵向保留取决于受访者的社会人口特征和他们的健康状况。这篇文章的独特贡献在于,预测不参与的因素可以被其他因素抵消或补偿。
This article uses data from MIDUS (Midlife in the United States), a national study of Americans (N = 7,108), to investigate factors that predict longitudinal retention. With its extensive age range (25–75 at Time 1) and long-term design (9- to 10-year survey interval), MIDUS is useful for investigating common sociodemographic and health predictors of continuing participation. The authors conducted logistic regression analyses of baseline sociodemographic and health variables predicting retention. Select interaction terms examined the interplay between targeted variables. Consistent with prior research, higher retention rates were found among Whites, females, and married individuals as well as those with better health and more education. Interaction analyses further clarified that (a) health status better predicted retention among older compared to younger respondents and among women compared to men, (b) marital status better predicted retention among Whites compared to non-Whites and among women compared to men, and (c) economic status better predicted retention among those with poorer functional health status. The authors’ analyses clarify that longitudinal retention varied depending on respondents’ sociodemographic characteristics and their health status. The unique contribution of this article is that factors predicting nonparticipation can be offset by, or compensated for, other factors.
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