Luciano F. Drager , Daniela Vianna Pachito , Rogerio Morihisa , Pedro Carvalho , Abner Lobao , Dalva Poyares
{"title":"巴西普通人群的睡眠质量:一项横断面研究","authors":"Luciano F. Drager , Daniela Vianna Pachito , Rogerio Morihisa , Pedro Carvalho , Abner Lobao , Dalva Poyares","doi":"10.1016/j.sleepe.2022.100020","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>This study aimed to assess sleep quality and the independent predictors of poor sleep quality in the Brazilian population.</p></div><div><h3>Methods</h3><p>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).</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusion</h3><p>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.</p></div>","PeriodicalId":74809,"journal":{"name":"Sleep epidemiology","volume":"2 ","pages":"Article 100020"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667343622000014/pdfft?md5=c3836ddb1e5c4be0c3a939f362e4382c&pid=1-s2.0-S2667343622000014-main.pdf","citationCount":"3","resultStr":"{\"title\":\"Sleep quality in the Brazilian general population: A cross-sectional study\",\"authors\":\"Luciano F. Drager , Daniela Vianna Pachito , Rogerio Morihisa , Pedro Carvalho , Abner Lobao , Dalva Poyares\",\"doi\":\"10.1016/j.sleepe.2022.100020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>This study aimed to assess sleep quality and the independent predictors of poor sleep quality in the Brazilian population.</p></div><div><h3>Methods</h3><p>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).</p></div><div><h3>Results</h3><p>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.</p></div><div><h3>Conclusion</h3><p>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.</p></div>\",\"PeriodicalId\":74809,\"journal\":{\"name\":\"Sleep epidemiology\",\"volume\":\"2 \",\"pages\":\"Article 100020\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2667343622000014/pdfft?md5=c3836ddb1e5c4be0c3a939f362e4382c&pid=1-s2.0-S2667343622000014-main.pdf\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sleep epidemiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667343622000014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sleep epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667343622000014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.