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

机译:英国自我报告的睡眠问题的性别和社会经济模式。

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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.
机译:睡眠对健康和福祉至关重要,但对睡眠质量的研究很少。本文探讨了社会经济状况和性别与睡眠问题之间的关系。我们研究(i)报告的睡眠问题的社会经济状况(SES)模式,(ii)睡眠问题中的SES差异是否可以通过社会人口统计学特征,吸烟,忧虑,健康和抑郁症来解释,以及(iii)性别差异睡眠问题,解决SES,吸烟,忧虑,健康和抑郁的相对影响,以解释这些差异。使用Logistic回归分析2000年英国精神病学发病率调查,该调查采访了8578名16-74岁的男性和女性。在睡眠问题和SES的四个指标之间发现了很强的独立联系:家庭收入,教育资格,租房生活和没有有偿就业。调整健康和其他特征后,睡眠问题的收入差异不再显着。调整后,失业者和受教育程度较低的成年人中出现睡眠问题的几率更高。与已婚的被调查者相比,离婚和丧偶的妇女的睡眠问题明显多于男性。在调整了社会经济特征后,睡眠问题的性别差异减少了一半,这表明SES不平等在解释睡眠问题中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解释的首要性提出了疑问。由于不利的社会经济特征与睡眠问题密切相关,因此我们得出结论,睡眠中断可能是低SES与不良健康相关联的一种机制。

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