Association between sleep problems and sociodemographic characteristics among ELSA-Brasil participants: Results of Multiple Correspondence Analysis

Leonardo Shigaki , Letícia de Oliveira Cardoso , Aline Silva-Costa , Sandhi Maria Barreto , Enirtes Caetano Prates Melo , Maria de Jesus Mendes da Fonseca , Rosane Harter Griep
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Abstract

Introduction

Although adequate sleep is important for health, it is regulated by the environment and susceptible to interpersonal and social factors. Inadequate duration and quality of sleep are associated with several diseases, and even an increased risk of death. Previous studies have shown that some demographic and socioeconomic characteristics evaluated in isolation are associated with sleep problems. The objective of this study was to simultaneously evaluate, through the identification of profiles, the relationships between demographic and socioeconomic characteristics and aspects of sleep.

Methods

A cross-sectional study was carried out in the period 2012–2014, with 13,039 participants from the ELSA-Brasil study. The following variables related to sleep were analyzed: sleep duration and deprivation, insomnia symptoms, daytime sleepiness, and the variables sex, age, race/color, marital status, body mass index, schooling, and per capita family income, using Multiple Correspondence Analysis.

Results

In the Multiple Correspondence Analysis, the inertia of the first two dimensions was 66.5 %; the first dimension explained 48.9 % of the data variability and the second dimension 17.6 %. Sleep problems (short sleep duration, insomnia symptoms, sleep deprivation, and daytime sleepiness) were related to the female sex, self-declared race/color black and brown, age group between 51 and 59 years, high schooling, per capita family income ≤ 3 minimum wages, single status, and obesity.

Conclusion

Short sleep duration, insomnia symptoms, sleep deprivation, and daytime sleepiness remained in the same group and were associated with characteristics related to greater socioeconomic vulnerability. Public health policies should focus care resources on the identified groups.

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ELSA巴西参与者睡眠问题与社会人口学特征的相关性:多重对应分析结果
尽管充足的睡眠对健康很重要,但它受环境的调节,容易受到人际和社会因素的影响。睡眠时间和质量不足与多种疾病有关,甚至会增加死亡风险。先前的研究表明,一些单独评估的人口统计学和社会经济特征与睡眠问题有关。本研究的目的是通过识别档案,同时评估人口统计学和社会经济特征以及睡眠方面之间的关系。方法在2012-2014年期间进行了一项横断面研究,13039名参与者来自ELSA巴西研究。使用多重对应分析,分析了以下与睡眠相关的变量:睡眠持续时间和剥夺、失眠症状、日间嗜睡,以及性别、年龄、种族/肤色、婚姻状况、体重指数、受教育程度和人均家庭收入。结果在多元对应分析中,前两个维度的惯性为66.5%;第一维度解释了48.9%的数据可变性,第二维度解释了17.6%。睡眠问题(睡眠时间短、失眠症状、睡眠剥夺和白天嗜睡)与女性、自称种族/肤色的黑人和棕色人种、51至59岁的年龄组、高中学历、人均家庭收入≤3最低工资、单身和肥胖有关。结论睡眠时间短、失眠症状、睡眠剥夺和日间嗜睡在同一组中仍然存在,并与更大的社会经济脆弱性相关。公共卫生政策应将护理资源集中在确定的群体上。
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来源期刊
Sleep epidemiology
Sleep epidemiology Dentistry, Oral Surgery and Medicine, Clinical Neurology, Pulmonary and Respiratory Medicine
CiteScore
1.80
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