Evidence map›Paper›PMID 41312150›Full record

ArticleEquity neuroscience2025

Use of the visual analogue Parkinson's Disease Sleep Scale in Nigeria.

Olusegun Adediran, Olufisayo Elugbadebo, Hephzibah Oyedapo-Ishola, Aminat Kehinde Bakare, Akin Ojagbemi

Abstract read
In one paragraph

Article in Equity neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Olusegun AdediranDepartment of Ophthalmology, College of Medicine, University of Ibadan, Nigeria.
Olufisayo ElugbadeboWorld Health Organization Collaborating Centre for research and training in mental health, neuroscience, and substance abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Nigeria.
Hephzibah Oyedapo-IsholaWorld Health Organization Collaborating Centre for research and training in mental health, neuroscience, and substance abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Nigeria.
Aminat Kehinde BakareDepartment of Medicine, Federal Medical Centre, Abeokuta, Nigeria.
Akin OjagbemiWorld Health Organization Collaborating Centre for research and training in mental health, neuroscience, and substance abuse, Department of Psychiatry, College of Medicine, University of Ibadan, Nigeria.

Funding

Training Africans to Lead and Execute Neurological Trials & Studies (TALENTS)D43TW012030 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI OVBIAGELE, BRUCE · 2021 to 2025
$1.2M
FIC NIH HHS D43 TW012030
6 · The paper itself

Abstract

Background: Sleep disturbances are common in persons with Idiopathic Parkinson's disease (PD) but often go undetected by attending physicians. Due to its simplicity, the visual analogue PD Sleep Scale (PDSS) could be valuable in the detection and management of sleep disturbances in contexts such as Nigeria where text heavy self-report assessments are difficult to implement due to limited formal education. We aim to test the utility of the PDSS in identifying nocturnal sleep problems in Nigerians with PD. Methods: We evaluated a dataset comprising information collected in southwestern Nigeria between February 2023 and June 2024 as part of a two-centre prevalence and case control study of behavioural symptoms in clinic attendees with PD. Controls were neurologically healthy persons who were matched for age, sex, education and outpatient status. Nocturnal sleep problems were assessed using the PDSS. We also independently administered the Neuropsychiatric Inventory Questionnaire (NPI-Q). We examined indicators of construct validity by comparing the PDSS with the NPI-Q nighttime behavioural subscale, known group validity by comparing with Hoehn and Yahrs stages of PD, and discriminant validity by comparing persons with PD with or without sleep problems. We generated Spearman correlation coefficients, Games-Howell post hoc adjustments in ANOVA, and step-down Bonferroni corrections for multiple comparisons. Results: Among 150 persons with PD and 150 matched neurologically healthy controls, PDSS scores were discriminated in 13 out of the 15 items (step-down Bonferroni corrected Conclusion: The PDSS was useful in identifying a variety of nocturnal sleep problems in people living with PD. These results provide support for the utility of the tool in Nigeria and similar contexts where many patients have limited or no formal education.

Indexed as

Neuropsychiatric symptomsNocturnal sleep problemsParkinson’s DiseasePDSSSleep disorder

Identifiers

PMID41312150
PMCPMC12657023

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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.