巴西普通人群的睡眠质量:一项横断面研究

Luciano F. Drager , Daniela Vianna Pachito , Rogerio Morihisa , Pedro Carvalho , Abner Lobao , Dalva Poyares
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引用次数: 3

摘要

目的本研究旨在评估巴西人群的睡眠质量和睡眠质量差的独立预测因素。方法对巴西所有五个地区的成年人进行在线调查。参与者回答了一份结构化问卷,包括性别、年龄、地理区域、州、社会经济阶层、教育水平、伴侣/室友的存在、自我报告的失眠症、智能手机/互动媒体的使用等变量。采用匹兹堡睡眠质量指数(PSQI)评价睡眠质量。建立逻辑回归模型评估睡眠质量差的潜在独立预测因子(PSQI >5)。结果共纳入2635名成人,年龄中位数为35岁,女性占54.1%。PSQI中位评分为7.0 (IQR: 4.0;65.5%睡眠不良者)。多变量模型显示,女性(OR: 1.079;95% ci: 1.041-1.119);年龄55岁(OR: 1.107;95% ci: 1.031-1.189);伴侣/室友睡在另一张床上(OR: 1.086;95% CI: 1.005-1.172)和另一个房间(OR: 1.137;95% ci: 1.046-1.235);自我报告的失眠症(OR: 1.410;95% ci: 1.357-1.465);居住在中西部地区(OR: 1.125;95% CI: 1.005-1.259),南方(OR: 1.121;95% CI: 1.015-1.239)和东南(OR: 1.125;95% CI: 1.025-1.236),与北方相比;智能手机/互动媒体使用(OR: 1.129;95% CI: 1.088-1.171)是睡眠质量差的预测因子。结论巴西人群普遍存在睡眠质量差的问题。年轻、女性、伴侣睡在另一张床或另一个房间、自我报告的失眠、使用智能手机/互动媒体都是睡眠质量差的预测因素。
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Sleep quality in the Brazilian general population: A cross-sectional study

Objective

This study aimed to assess sleep quality and the independent predictors of poor sleep quality in the Brazilian population.

Methods

An online survey was conducted in adults from all five Brazilian regions. Participants answered a structured questionnaire including variables such as sex, age, geographic region, state, socioeconomic class, education level, the existence of a partner/roommate, self-reported insomnia, and smart phone/interactive media use. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. A logistic regression model was built to assess potential independent predictors of poor sleep quality (PSQI >5).

Results

A total of 2,635 adult individuals were included in the study (median age: 35 years, 54.1% females). Median PSQI score was 7.0 (IQR: 4.0; 65.5% of poor sleepers). Multivariate model showed that females (OR: 1.079; 95% CI: 1.041-1.119); age <55 years (OR: 1.107; 95% CI: 1.031–1.189); having a partner/roommate sleeping in another bed (OR: 1.086; 95% CI: 1.005–1.172) and in another room (OR: 1.137; 95% CI: 1.046–1.235); self-reported insomnia (OR: 1.410; 95% CI: 1.357–1.465); living in Midwest (OR: 1.125; 95% CI: 1.005-1.259), South (OR: 1.121; 95% CI: 1.015-1.239) and Southeast (OR: 1.125; 95% CI: 1.025-1.236) regions, compared to North; and smart phone/interactive media use (OR: 1.129; 95% CI: 1.088-1.171) were predictors of poor sleep quality.

Conclusion

Poor sleep quality is prevalent among the Brazilian population. Being younger, female, having a partner sleeping in another bed or room, self-reported insomnia, and smart phone/interactive media use were predictors of poor sleep quality.

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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
自引率
0.00%
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0
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