Intergenerational transmission of depression: A launch and grow model of change across adolescence
Intergenerational transmission of depression: A launch and grow model of change across adolescence
复制标题
DOI：
10.1017/s0954579410000489
复制
发表时间：
2010-11-01
影响因子：
3.3
通讯作者：
Cole, David A.
中科院分区：
文献类型：
--
作者：
Garber, Judy;Cole, David A.
本研究测试了一个“启动和增长”类型的级联模型，其中一个早期的风险因素（e。例如，在一个实施例中，12岁时暴露于母亲抑郁症）被假设为预测发育期间的几个风险过程（例如，例如，在一个实施例中，压力，家庭关系，自我价值[SW]），然后随着时间的推移为儿童的抑郁症状的增长设定了路线。参与者是240名母亲和儿童（平均年龄= 11.87岁，SD = 0.57），他们在6年内每年进行评估。DSM诊断的结构化临床访谈用于评估母亲的精神病史; 185名母亲患有情绪障碍，55名母亲终身无精神病诊断。在每次评估中，母亲完成了他们目前抑郁症状和压力生活事件水平的测量;青少年完成了他们对家庭环境和SW的看法的测量;临床医生根据与青少年和母亲的单独访谈对青少年的抑郁症状水平进行了评级。潜在生长曲线分析显示，母亲抑郁史显著预测青少年抑郁症状、母亲当前抑郁症状、压力性生活事件、家庭环境和青少年SW的生长轨迹的截距。斜率）的青少年抑郁症状的增长在6年的研究。这些结果与母亲抑郁症引发一系列风险因素的假设模型一致，这些风险因素反过来预测青春期抑郁症状的增长。干预措施，旨在预防抑郁症的风险青年的影响进行了讨论。
The present study tested a "launch-and-grow" type of cascade model in which an earlier risk factor (e. g., exposure to maternal depression by age 12) was hypothesized to predict several risk processes during development (e. g., stress, family relationships, self-worth [SW]), which then set the course for the growth of children's depressive symptoms over time. Participants were 240 mothers and children (mean age = 11.87 years, SD = 0.57) who were evaluated annually across 6 years. The Structured Clinical Interview for DSM diagnoses was used to assess mothers' psychiatric history; 185 mothers had had a mood disorder and 55 mothers were lifetime free of psychiatric diagnoses. At each assessment, mothers completed measures of their current level of depressive symptoms and stressful life events; adolescents completed measures about their perceptions of the family environment and their SW; and clinicians rated adolescents' level of depressive symptoms based on separate interviews with the adolescent and mother. Latent growth curve analyses revealed that history of maternal depression significantly predicted the intercepts of the growth trajectories of adolescents' depressive symptoms, mothers' current depressive symptoms, stressful life events, family environment, and adolescents' SW. The intercepts of each of these variables then predicted the trajectory (i.e., slope) of the growth of adolescents' depressive symptoms across the 6 years of the study. These results were consistent with the hypothesized model of maternal depression launching a set of risk factors, which in turn predict the growth of depressive symptoms during adolescence. Implications for interventions aimed at preventing depression in at-risk youth are discussed.