Gerkensmeyer Janis E, Perkins Susan M, Day Jennifer, Austin Joan K, Scott Eric L, Wu Jingwei
Indiana University School of Nursing, Indianapolis, IN 46202, USA.
J Child Fam Stud. 2011 Oct 1;20(5):685-695. doi: 10.1007/s10826-011-9445-4.
As primary caregivers of children with mental health problems, mothers face challenges that put them at risk for depression, which is rarely identified or addressed. The aims of this paper were to (a) identify mean differences among demographic, stressor, threat, and resource variables specified in a theoretical model and thought to be associated with maternal depressive symptoms and (b) determine how much variability in depressive symptoms is explained by these variables. High levels and prevalence of depressive symptoms were found within a quality of life study that these data were drawn from. Of 139 mothers participating in this study, 58% had a score of 16 or greater on the CES-D indicating moderate to high levels of depressive symptoms. Significant differences were found between mothers with higher versus lower levels of depressive symptoms for 11 of the 18 variables. Hierarchical regression was used to examine the variance explained in depressive symptoms based upon the conceptual model with 4 composite variables. Income (step 1), behavioral problems (step 2), threat appraisal (step 3), and resource appraisal (step 4) combined explained 42% of the variance.
作为有心理健康问题孩子的主要照顾者,母亲们面临着使其有患抑郁症风险的挑战,而这种风险很少被识别或解决。本文的目的是:(a)识别理论模型中指定的、被认为与母亲抑郁症状相关的人口统计学、压力源、威胁和资源变量之间的平均差异;(b)确定这些变量能解释抑郁症状的多大变异性。在一项生活质量研究中发现了抑郁症状的高水平和高患病率,这些数据即来自该研究。参与本研究的139位母亲中,58%在流调中心抑郁量表(CES-D)上的得分达到或超过16分,表明存在中度到高度的抑郁症状。在18个变量中的11个变量上,抑郁症状水平较高和较低的母亲之间存在显著差异。采用分层回归来检验基于包含4个复合变量的概念模型对抑郁症状所解释的方差。收入(第一步)、行为问题(第二步)、威胁评估(第三步)和资源评估(第四步)共同解释了42%的方差。