VIOLENCE BY MALE PARTNERS AGAINST WOMEN DURING THE CHILDBEARING YEAR - A CONTEXTUAL ANALYSIS
VIOLENCE BY MALE PARTNERS AGAINST WOMEN DURING THE CHILDBEARING YEAR - A CONTEXTUAL ANALYSIS
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DOI：
10.2105/ajph.85.8_pt_1.1092
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发表时间：
1995-08-01
影响因子：
12.7
通讯作者：
WANG, MC
中科院分区：
文献类型：
--
作者：
OCAMPO, P;GIELEN, AC;WANG, MC
目标。许多在识别不良结果的风险因素方面弥合微观层面与宏观层面差距的背景分析并未使用适合多级数据的方法。本文的目的是说明适当的多层次分析方法的应用并讨论其对公共卫生的影响。方法。先前发表的男性伴侣在育龄期间实施身体暴力的个人层面模型经过重新分析，纳入了描述女性居住社区的变量。使用广义估计方程的估计方法的逻辑回归进行上下文分析。为了评估广义估计方程相对于传统逻辑回归的优势，将 Bath 用于两水平模型。结果。上下文模型的回归系数与个体水平模型中获得的贝塔值不同。不仅邻里层面的变量与伴侣实施暴力的风险相关，而且模型中这些宏观层面变量的存在也改变了个人层面的变量与暴力风险的关系。结论。包括个人和社区层面因素的两级模型可能有利于公共壁炉研究的解释。
Objectives. Many contexual analyses that bridge the micro-level-macro-level gap in identifying risk factors for adverse outcomes have not used methods appropriate for multilevel data. The purpose of this paper is to illustrate the application of appropriate multi-level analytic methods and discuss their implications for public health.Methods. A previously published individual-level model of physical violence perpetrated by male partners during the childbearing year was reanalyzed to include variables describing the neighborhoods where the women resided. Logistic regression with estimation methods of the generalized estimating equation was used for the contextual analysis. To assess the advantages of the generalized estimating equation over conventional logistic regression, bath were used for the two-level model.Results. The regression coefficients from the contextual model differed from the betas obtained in the individual-level model. Not Only were neighborhood-level variables related to the risk of partner-perpetrated violence, but the presence of these macro-level variables in the models modified the relationships of the individual-level variables to the risk of violence.Conclusions. Two-level models that include individual- and community-level factors may be beneficial for purposes of explanation in public hearth research.