Economic Adversity and Children's Sleep Problems: Multiple Indicators and Moderation of Effects
Economic Adversity and Children's Sleep Problems: Multiple Indicators and Moderation of Effects
复制标题
DOI：
10.1037/a0030413
复制
发表时间：
2013-08-01
影响因子：
4.2
通讯作者：
Buckhalt, Joseph A.
中科院分区：
文献类型：
--
作者：
El-Sheikh, Mona;Bagley, Erika J.;Buckhalt, Joseph A.
目的：为了解释经济逆境与儿童睡眠之间的关系，我们研究了社会经济地位（SES）/逆境的多个指标与儿童客观和主观得出的睡眠参数之间的关联；种族被视为潜在的调节因素。方法：参与者为 276 名三四年级儿童及其家人（133 名女孩；M 年龄 = 9.44 岁；SD = .71）：66% 为欧洲裔美国人 (EA)，34% 为非洲裔美国人 (AA)。使用了四项社会经济地位指标：收入与需求的比率、感知的经济福祉、孕产妇教育和社区贫困。孩子们佩戴活动记录仪 7 个晚上，并完成自我报告测量来评估睡眠问题。结果：客观和主观评估的睡眠参数与不同的 SES 指标相关，来自较低 SES 家庭的儿童总体睡眠质量较差。具体来说，来自收入与需求比率较低家庭的儿童报告的睡眠/觉醒问题水平较高。父母感知的经济幸福感与儿童的睡眠时间较短和睡眠开始时间的较大变异性相关。母亲受教育程度较低与睡眠效率较低有关。就读 Title 1 学校的孩子的睡眠时间较短。种族是某些 SES 指标与儿童睡眠之间关系的重要调节因素。与 EA 儿童相比，AA 儿童的睡眠受到收入需求比和母亲教育程度的负面影响更大。结论：结果主张指定特定的 SES 和睡眠变量的重要性，因为它们可能会影响检测睡眠与经济逆境之间关联的能力。
Objective: Toward explicating relations between economic adversity and children's sleep, we examined associations between multiple indicators of socioeconomic status (SES)/adversity and children's objectively and subjectively derived sleep parameters; ethnicity was examined as potential moderator. Methods: Participants were 276 third-and fourth-grade children and their families (133 girls; M age = 9.44 years; SD = .71): 66% European American (EA) and 34% African American (AA). Four SES indicators were used: income-to-needs ratio, perceived economic well-being, maternal education, and community poverty. Children wore actigraphs for 7 nights and completed a self-report measure to assess sleep problems. Results: Objectively and subjectively assessed sleep parameters were related to different SES indicators, and overall worse sleep was evident for children from lower SES homes. Specifically, children from homes with lower income-to-needs ratios had higher levels of reported sleep/wake problems. Parental perceived economic well-being was associated with shorter sleep minutes and greater variability in sleep onset for children. Lower mother's education was associated with lower sleep efficiency. Children who attended Title 1 schools had shorter sleep minutes. Ethnicity was a significant moderator of effects in the link between some SES indicators and children's sleep. AA children's sleep was more negatively affected by income-to-needs ratio and mother's education than was the sleep of EA children. Conclusions: The results advocate for the importance of specifying particular SES and sleep variables used because they may affect the ability to detect associations between sleep and economic adversity.