Modeling multiple risks during infancy to predict quality of the caregiving environment: Contributions of a person-centered approach
Modeling multiple risks during infancy to predict quality of the caregiving environment: Contributions of a person-centered approach
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DOI：
10.1016/j.infbeh.2011.02.002
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发表时间：
2011-06-01
影响因子：
2.1
通讯作者：
Cox, Martha
中科院分区：
文献类型：
--
作者：
Lanza, Stephanie T.;Rhoades, Brittany L.;Cox, Martha
这项研究的主要目的是比较几种以变量为中心和以人为中心的方法来模拟婴儿期的多种风险因素，以预测六个月大时照看环境的质量。在宾夕法尼亚州和北卡罗来纳州低收入、非城市社区出生的儿童(N=1047)中，研究人员对儿童两个月大时评估的与家庭人口统计和母亲心理社会风险有关的九个风险因素进行了探索。这些危险因素是：(1)单亲(无伴侣)，(2)婚姻状况，(3)母亲初次生育年龄，(4)母亲教育，(5)母亲阅读能力，(6)贫困状况，(7)居住拥挤，(8)产前吸烟暴露，(9)母亲抑郁。我们比较了使用双变量方法、多元回归分析、累积风险指数和潜在类别分析(LCA)得出的结论。与其他方法相比，使用生命周期分析得出的风险类别更直观地总结了多个风险在个人内部是如何组织的。这五个风险类别是：已婚低风险人群；已婚低收入人群；同居多问题人群；单身低收入人群；单身低收入人群/受教育人群。LCA的研究结果表明，特定的家庭结构与婴儿照料环境质量之间的关联如何因种族和地点而异。讨论的重点是以人为中心的分析模型对理解多种风险因素预测的复杂性的价值。(C)2011 Elsevier Inc.保留所有权利。
The primary goal of this study was to compare several variable-centered and person-centered methods for modeling multiple risk factors during infancy to predict the quality of caregiving environments at six months of age. Nine risk factors related to family demographics and maternal psychosocial risk, assessed when children were two months old, were explored in the understudied population of children born in low-income, non-urban communities in Pennsylvania and North Carolina (N = 1047). These risk factors were (1) single (unpartnered) parent status, (2) marital status, (3) mother's age at first child birth, (4) maternal education, (5) maternal reading ability, (6) poverty status, (7) residential crowding, (8) prenatal smoking exposure, and (9) maternal depression. We compared conclusions drawn using a bivariate approach, multiple regression analysis, the cumulative risk index, and latent class analysis (LCA). The risk classes derived using LCA provided a more intuitive summary of how multiple risks were organized within individuals as compared to the other methods. The five risk classes were: married low-risk; married low-income; cohabiting multiproblem; single low-income; and single low-income/education. The LCA findings illustrated how the association between particular family configurations and the infants' caregiving environment quality varied across race and site. Discussion focuses on the value of person-centered models of analysis to understand complexities of prediction of multiple risk factors. (C) 2011 Elsevier Inc. All rights reserved.