Evidence map›Paper›PMID 28646468›Full record

ArticleIrish journal of medical science2018

An investigation into the association between demographic and morbidity factors, and sleep disturbance.

N Mullane, C Bradley

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Article in Irish journal of medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

N MullaneDepartment of General Practice, Brookfield Health Sciences Building, University College Cork, Cork, Ireland. niamh.mullane1@gmail.com.
C BradleyDepartment of General Practice, Brookfield Health Sciences Building, University College Cork, Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recognition of sleep disorders is important because in the long term, they are associated with numerous deleterious health outcomes. Despite the high prevalence of sleep disorders, they are widely under-diagnosed at general practice level.

aimThis study aims to investigate the association between demographic and morbidity factors, and self-reported sleep disturbance symptoms.

methodsA quantitative cross-sectional study design was used. The data collection tool was an anonymous questionnaire consisting of 22 sleep symptoms categorised into four subscales: 1. Insomnia, 2. Daytime Distress, 3. Sleep Disorder, 4. Psychological Distress. Participants were adults ≥18 years of age attending their general practitioner.

resultsA total of 281 questionnaires were analysed (70.3% response rate). Participants with a diagnosis of depression and those who experienced low mood 'very frequently' had significantly higher median scores on all four subscales. Those with a body mass index (BMI) >30 kg/m

conclusionsA number of factors are significantly associated with sleep disturbance, particularly depression, low mood, elevated BMI and smoking. General practitioners should consider these factors to increase recognition of patients who would benefit from sleep disorder investigation.

Indexed as

Body Mass IndexCross-Sectional StudiesDemographyFemaleHumansMaleMiddle AgedMorbidityPrevalenceSleep Initiation and Maintenance DisordersSurveys and QuestionnairesSurvival AnalysisBody mass indexDepressionGeneral practitionerObstructive sleep apnoeaPolysomnographySleep symptom checklist

Identifiers

PMID28646468

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.