Gender and socio-economic patterning of self-reported sleep problems in Britain

Gender and socio-economic patterning of self-reported sleep problems in Britain
复制标题

DOI:
10.1016/j.socscimed.2008.10.016
复制
发表时间:
2009-01-01
影响因子:
5.4
通讯作者:
Meadows, Robert
Meadows, Robert
中科院分区:
医学2区
文献类型:
--
作者:
Arber, Sara;Bote, Marcos;Meadows, Robert

文献摘要

被引文献

相似文献

睡眠是健康和幸福的基础,但对睡眠质量的研究相对较少。这篇论文阐述了社会经济环境和性别与睡眠问题的关系。我们考察了(I)报告的睡眠问题的社会经济地位(SES)模式,(Ii)社会人口学特征、吸烟、担忧、健康和抑郁是否可以解释SES在睡眠问题上的差异,以及(Iii)睡眠问题的性别差异,探讨SES、吸烟、担忧、健康和抑郁在解释这些差异方面的相对贡献。Logistic回归被用于分析2000年英国精神病学发病率调查,该调查访问了8578名年龄在16-74岁的男性和女性。睡眠问题与SES的四项指标之间存在很强的独立相关性:家庭收入、教育程度、住在租来的房子里和没有受薪工作。在调整了健康和其他特征后,睡眠问题上的收入差异不再显著。调整后,失业者和受教育程度较低的成年人出现睡眠问题的几率仍然很高。女性报告的睡眠问题明显多于男性,离婚和丧偶的受访者与已婚受访者相比也是如此。在对社会经济特征进行调整后,睡眠问题上的性别差异减少了一半,这表明社会经济地位不平等在解释睡眠问题上的性别差异方面发挥了重要作用。我们的研究对这些性别差异背后的生理学解释的重要性提出了质疑。由于不利的社会经济特征与睡眠问题密切相关,我们得出结论,睡眠障碍可能是SES低与健康不良相关的一种机制。(C)2008爱思唯尔有限公司。保留所有权利。
Sleep is fundamental to health and well-being, yet relatively little research attention has been paid to sleep quality. This paper addresses how socio-economic circumstances and gender are associated with sleep problems. We examine (i) socio-economic status (SES) patterning of reported sleep problems, (ii) whether SES differences in sleep problems can be explained by socio-demographic characteristics, smoking, worries, health and depression, and (iii) gender differences in sleep problems, addressing the relative contribution of SES, smoking, worries, health and depression in explaining these differences. Logistic regression is used to analyse the British Psychiatric Morbidity Survey 2000, which interviewed 8578 men and women aged 16-74. Strong independent associations are found between sleep problems and four measures of SES: household income, educational qualifications, living in rented housing and not being in paid employment. Income differences in sleep problems were no longer significant when health and other characteristics were adjusted. The higher odds of sleep problems among the unemployed and adults with low education remained significant following adjustment. Women reported significantly more sleep problems than men, as did the divorced and widowed compared with married respondents. Gender differences in sleep problems were halved following adjustment for socio-economic characteristics, suggesting that SES inequalities play a major part in accounting for gender differences in sleep problems. Our study casts doubt on the primacy of physiological explanations underlying these gender differences. Since disadvantaged socio-economic characteristics are strongly associated with sleep problems, we conclude that disrupted sleep may be a mechanism through which low SES is linked to poor health. (C) 2008 Elsevier Ltd. All rights reserved.