Evidence map›Paper›PMID 34075173›Full record

ArticleScientific reports2021

Demographic, psychological, chronobiological, and work-related predictors of sleep disturbances during the COVID-19 lockdown in Italy.

Federico Salfi, Marco Lauriola, Aurora D'Atri, Giulia Amicucci, Lorenzo Viselli, Daniela Tempesta, Michele Ferrara

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
10.9field-weighted citation impact, top 1% of its field
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

38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Federico SalfiDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio (Coppito 2), 67100, Coppito, AQ, Italy.
Marco LauriolaDepartment of Social and Developmental Psychology, Sapienza University of Rome, Rome, Italy.
Aurora D'AtriDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio (Coppito 2), 67100, Coppito, AQ, Italy.
Giulia AmicucciDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio (Coppito 2), 67100, Coppito, AQ, Italy.
Lorenzo ViselliDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio (Coppito 2), 67100, Coppito, AQ, Italy.
Daniela TempestaDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio (Coppito 2), 67100, Coppito, AQ, Italy.
Michele FerraraDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, Via Vetoio (Coppito 2), 67100, Coppito, AQ, Italy. michele.ferrara@univaq.it.
University of L'Aquila · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The first COVID-19 contagion wave caused unprecedented restraining measures worldwide. In Italy, a period of generalized lockdown involving home confinement of the entire population was imposed for almost two months (9 March-3 May 2020). The present is the most extensive investigation aimed to unravel the demographic, psychological, chronobiological, and work-related predictors of sleep disturbances throughout the pandemic emergency. A total of 13,989 Italians completed a web-based survey during the confinement period (25 March-3 May). We collected demographic and lockdown-related work changes information, and we evaluated sleep quality, insomnia and depression symptoms, chronotype, perceived stress, and anxiety using validated questionnaires. The majority of the respondents reported a negative impact of confinement on their sleep and a delayed sleep phase. We highlighted an alarming prevalence of sleep disturbances during the lockdown. Main predictors of sleep disturbances identified by regression models were: female gender, advanced age, being a healthcare worker, living in southern Italy, confinement duration, and a higher level of depression, stress, and anxiety. The evening chronotype emerged as a vulnerability factor, while morning-type individuals showed a lower predisposition to sleep and psychological problems. Finally, working from home was associated with less severe sleep disturbances. Besides confirming the role of specific demographic and psychological factors in developing sleep disorders during the COVID-19 pandemic, we propose that circadian typologies could react differently to a particular period of reduced social jetlag. Moreover, our results suggest that working from home could play a protective role against the development of sleep disturbances during the current pandemic emergency.

Indexed as

TeleworkingAdolescentAdultAgedAged, 80 and overCircadian RhythmCommunicable Disease ControlCOVID-19FemaleHumansItalyMaleMiddle AgedPandemicsPhotoperiodPrevalence

Identifiers

PMID34075173
PMCPMC8169862
OpenAlexW3163963613

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.