Evidence map›Paper›PMID 39583303›Full record

ArticleSleep medicine: X2024

Sleep quality and associated factors in adults living in the southern Brazil: A population-based study.

Ernani Tiaraju de Santa Helena, Nicolas Boeira Machado, Rafael Tadao Sakae, Clovis Arlindo de Sousa, Carlos Roberto de Oliveira Nunes, Henry Völzke, Ralf Ewert, Marcello Ricardo Paulista Markus

Abstract read
In one paragraph

Article in Sleep medicine: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ernani Tiaraju de Santa HelenaGraduate Program of Public Health, University of Blumenau, Blumenau, Brazil.
Nicolas Boeira MachadoDepartment of Medicine, University of Blumenau, Blumenau, Brazil.
Rafael Tadao SakaeDepartment of Medicine, University of Blumenau, Blumenau, Brazil.
Clovis Arlindo de SousaGraduate Program of Public Health, University of Blumenau, Blumenau, Brazil.
Carlos Roberto de Oliveira NunesGraduate Program of Public Health, University of Blumenau, Blumenau, Brazil.
Henry VölzkeInstitute for Community Medicine, SHIP/Clinical Epidemiology Research, University Medicine Greifswald, Greifswald, Germany.
Ralf EwertDepartment for Internal Medicine B, University Medicine Greifswald, Greifswald, Germany.
Marcello Ricardo Paulista MarkusDepartment of Internal Medicine B, Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases, University Medicine Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze sleep quality and associated socio-demographic and lifestyle factors in participants from a city originally colonised by Germans in southern Brazil. Methods: A cross-sectional population-based study of 2333 individuals aged 20 to 79 years. Data was collected by interview using a structured questionnaire. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. The prevalence of poor sleep quality (PSQI score five or more) was estimated and the associations with study variables were measured by crude and adjusted prevalence ratios using Poisson regression. Results: participants were mostly women (50.9 %), with an average age of 43.3 years. The median total PSQI score was 4 (IQ = 3-7). The frequency of poor sleep quality was 32.7 % (95 % CI 30.7-34.4), higher in older adults (44.0 % vs 30.7 %; p<0.001) and women (40.0 % vs 25.2 %; p<0.001). Multivariate analysis showed that women (PR = 1.3; 95%CI 1.1- 1.5; p<0.001), former smokers (PR = 1.2; 95%CI 1.0-1.4; p = 0.014), current smokers (PR = 1.3; 95%CI 1.1-1.5; p = 0.006), depression (PR = 1.5; 95%CI 1.3-1.7; p<0.001), taking 5 or more medications (PR = 1.2; 95%CI 1.1-1.4; p = 0.001), self-perceived fair health (PR = 2.1; 95%CI 1.8-2.4; p<0.001) or poor/very poor health (PR = 2.6; 95%CI 2.1-3.1; p<0.001) were risk factors for poor sleep quality. Germanic culture (PR = 0.8; 95%CI 0.7-0.9; p<0.001), high school (PR = 0.8; 95%CI 0.6-1.0; p = 0.046) or elementary school (PR = 0.7; 95%CI 0.6-1.0; p = 0.025) or being at work (RP = 0.8; 95%CI 0.7-0.9; p = 0.002) were inversely associated with poor sleep quality. Conclusions: Women, older adults and some clinical, social, cultural and behavioural conditions are associated with poor sleep quality.

Indexed as

Older adultsPolypharmacySleep durationSleep qualitySmokingSocioeconomic factors

Identifiers

PMID39583303
PMCPMC11584591

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.