Kindergarten stressors and cumulative adrenocortical activation: The "first straws" of allostatic load?
Kindergarten stressors and cumulative adrenocortical activation: The "first straws" of allostatic load?
复制标题
DOI：
10.1017/s0954579411000514
复制
发表时间：
2011-11-01
影响因子：
3.3
通讯作者：
Boyce, W. Thomas
中科院分区：
文献类型：
--
作者：
Bush, Nicole R.;Obradovic, Jelena;Boyce, W. Thomas
本研究以338名幼儿园儿童为样本，探讨了累积性环境压力对儿童下丘脑-垂体-肾上腺皮质（HPA）轴调节的影响，并将其作为非稳态负荷的早期生命指标。慢性HPA轴调节进行了评估，使用累积，多日措施皮质醇在秋季和春季的幼儿园一年。分层线性回归分析显示，背景压力与少数民族地位，社会经济地位，家庭逆境每个独特的预测儿童的日常HPA活动，其中一些协会是曲线构象。结果表明，家庭社会经济地位和家庭逆境对儿童HPA轴调节的二次U型影响在不同方向上起作用。结果进一步表明，这些协会不同的白色和少数民族儿童。总的来说，这项研究表明，幼儿期的经历有助于产生非稳态负荷的主要神经生物学系统之一的变化，证实了早期预防和干预工作的重要性。此外，研究结果表明，非稳态负荷和发展理论占其应计的分析将受益于列入曲线协会在测试的预测模型。
Using an ethnically diverse longitudinal sample of 338 kindergarten children, this study examined the effects of cumulative contextual stressors on children's developing hypothalamic-pituitary-adrenocortical (HPA) axis regulation as an early life indicator of allostatic load. Chronic HPA axis regulation was assessed using cumulative, multiday measures of cortisol in both the fall and spring seasons of the kindergarten year. Hierarchical linear regression analyses revealed that contextual stressors related to ethnic minority status, socioeconomic status, and family adversity each uniquely predicted children's daily HPA activity and that some of those associations were curvilinear in conformation. Results showed that the quadratic, U-shaped influences of family socioeconomic status and family adversity operate in different directions to predict children's HPA axis regulation. Results further suggested that these associations differ for White and ethnic minority children. In total, this study revealed that early childhood experiences contribute to shifts in one of the principal neurobiological systems thought to generate allostatic load, confirming the importance of early prevention and intervention efforts. Moreover, findings suggested that analyses of allostatic load and developmental theories accounting for its accrual would benefit from an inclusion of curvilinear associations in tested predictive models.