Evidence map›Paper›PMID 33592094›Full record

ArticleSleep2021

Sleep health and cognitive function among people with and without HIV: the use of different machine learning approaches.

Davide De Francesco, Caroline A Sabin, Alan Winston, Michael N Rueschman, Nicki D Doyle, Jane Anderson, Jaime H Vera, Marta Boffito, Memory Sachikonye, Patrick W G Mallon and 4 more

Abstract read
In one paragraph

Article in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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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

14 authors.

Davide De FrancescoInstitute for Global Health, University College London, London, UK.ORCID 0000-0002-6185-0514
Caroline A SabinInstitute for Global Health, University College London, London, UK.
Alan WinstonDepartment of Infectious Disease, Imperial College London, London, UK.
Michael N RueschmanBrigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-0506-8368
Nicki D DoyleDepartment of Infectious Disease, Imperial College London, London, UK.
Jane AndersonHomerton University Hospital, London, UK.
Jaime H VeraBrighton and Sussex Medical School, Brighton, UK.
Marta BoffitoChelsea and Westminster Healthcare NHS Foundation Trust, London, UK.
Memory SachikonyeUK Community Advisory Board (UK-CAB), London, UK.
Patrick W G MallonUniversity College Dublin School of Medicine, Dublin, Ireland.
Lewis HaddowInstitute for Global Health, University College London, London, UK.
Frank A PostKing's College Hospital NHS Foundation Trust, London, UK.
Susan RedlineBrigham and Women's Hospital, Boston, MA, USA.ORCID 0000-0002-6585-1610
Ken M KunisakiMinneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA.ORCID 0000-0001-8644-2827

Funding

Sleep, Aging, and HIV Infection Cohort StudyR01HL131049 · NHLBI · UNIVERSITY OF MINNESOTA · PI KUNISAKI, KEN M., REDLINE, SUSAN S. · 2016 to 2019
$2.4M
Department of HealthNHLBI NIH HHS R01 HL131049Wellcome Trust
6 · The paper itself

Abstract

STUDY

objectivesWe investigated associations between actigraphy-assessed sleep measures and cognitive function in people with and without HIV using different analytical approaches to better understand these associations and highlight differences in results obtained by these approaches.

methodsCognitive and 7-day/night actigraphy data were collected from people with HIV (PWH) and lifestyle-similar HIV-negative individuals from HIV and sexual health clinics in the United Kingdom/Ireland. A global cognitive T-score was obtained averaging the standardized individual cognitive test scores accounting for sociodemographics. Average and SD of 11 sleep measures over 7 days/nights were obtained. Rank regression, partial least-squares (PLS) regression, random forest, sleep dimension construct, and latent class analysis (LCA) were applied to evaluate associations between global T-scores and sleep measures.

resultsIn 344 PWH (median age 57 years, 86% males), average sleep duration, efficiency, and wake after sleep onset were not associated with global T-scores according to rank regression (p = 0.51, p = 0.09, p = 0.16, respectively). In contrast, global T-scores were associated with average and SD of length of nocturnal awakenings, SD of maintenance efficiency, and average out-of-bed time when analyzed by PLS regression and random forest. No associations were found when using sleep dimensions or LCA. Overall, findings observed in PWH were similar to those seen in HIV-negative individuals (median age 61 years, 67% males).

conclusionsUsing multivariable analytical approaches, measures of sleep continuity, timing, and regularity were associated with cognitive performance in PWH, supporting the utility of newer methods of incorporating multiple standard and novel measures of sleep-wake patterns in the assessment of health and functioning.

Indexed as

HIV InfectionsSleepActigraphyCognitionFemaleHumansMachine LearningMaleMiddle AgedcognitionHIVmachine learningsleepsleep quality

Identifiers

PMID33592094
PMCPMC8361343

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Registered trials

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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.