Socioeconomic status predicts objective and subjective sleep quality in aging women
Socioeconomic status predicts objective and subjective sleep quality in aging women
复制标题
DOI：
10.1097/psy.0b013e31814ceada
复制
发表时间：
2007-09-01
影响因子：
3.3
通讯作者：
Ryff, Carol D.
中科院分区：
文献类型：
--
作者：
Friedman, Elliot M.;Love, Gayle D.;Ryff, Carol D.
目的：检验社会经济状况(SES)与客观测量的睡眠质量相关的假设，即使在控制了相关的协变量(健康状况、心理社会特征)之后也是如此。将SES和睡眠质量联系起来的流行病学研究传统上依赖于自我报告的睡眠评估。方法：94名年龄在61岁到90岁之间的女性参与了这项研究。SES由税前家庭收入和受教育年限决定。睡眠质量的客观和主观评估分别使用夜间睡眠系统和匹兹堡睡眠质量指数(PSQI)。健康状况由近期和慢性病的主观健康评级和客观测量确定。抑郁症状和神经质分别使用流行病学研究中心抑郁量表和NEO人格问卷中的神经质子量表进行量化。结果：即使在调整了人口统计因素、健康状况和心理社会特征后，家庭收入仍显著预测睡眠潜伏期和睡眠效率。收入也可以预测PSQI得分，尽管这种联系被多变量分析中的神经质因素显著削弱。教育既可以预测睡眠潜伏期，也可以预测睡眠效率，但在健康状况和心理社会措施被纳入分析后，后者的相关性部分降低。教育可以预测PSQI睡眠效率部分的分数，但不能预测全球分数。结论：这些结果表明SES与主观和客观的睡眠质量密切相关，健康状况和心理社会特征部分解释了这些联系。
Objective: To test the hypothesis that socioeconomic status (SES) would be associated with sleep quality measured objectively, even after controlling for related covariates (health status, psychosocial characteristics). Epidemiological studies linking SES and sleep quality have traditionally relied on self-reported assessments of sleep. Methods: Ninety-four women, 61 to 90 years of age, participated in this study. SES was determined by pretax household income and years of education. Objective and subjective assessments of sleep quality were obtained using the NightCap sleep system and the Pittsburgh Sleep Quality Index (PSQI), respectively. Health status was determined by subjective health ratings and objective measures of recent and chronic illnesses. Depressive symptoms and neuroticism were quantified using the Center for Epidemiological Studies Depression Scale and the Neuroticism subscale of the NEO Personality Inventory, respectively. Results: Household income significantly predicted sleep latency and sleep efficiency even after adjusting for demographic factors, health status, and psychosocial characteristics. Income also predicted PSQI scores, although this association was significantly attenuated by inclusion of neuroticism in multivariate analyses. Education predicted both sleep latency and sleep efficiency, but the latter association was partially reduced after health status and psychosocial measures were included in analyses. Education predicted PSQI sleep efficiency component scores, but not global scores. Conclusions: These results suggest that SES is robustly linked to both subjective and objective sleep quality, and that health status and psychosocial characteristics partially explain these associations.