Evidence map›Paper›PMID 34568113›Full record

ArticleResearch in psychotherapy (Milano)2021

Dreaming during lockdown: a quali-quantitative analysis of the Italian population dreams during the first COVID-19 pandemic wave.

Lidia Borghi, Federica Bonazza, Giulia Lamiani, Alessandro Musetti, Tommaso Manari, Maria Filosa, Maria C Quattropani, Vittorio Lenzo, Maria Francesca Freda, Daniela Lemmo and 5 more

Abstract read
In one paragraph

Article in Research in psychotherapy (Milano), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Dreaming during the COVID-19 pandemic: A narrative review.Neuroscience and biobehavioral reviews · 2022
    Review
  5. The Oneiric Activity during and after the COVID-19 Total Lockdown in Italy: A Longitudinal Study.International journal of environmental research and public health · 2022
    Article
  6. Article
  7. Article
  8. Introduction to the Special Section onResearch in psychotherapy (Milano) · 2021
    Article
  9. 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

15 authors.

Lidia BorghiPsicologia Clinica, Dipartimento di Scienze della Salute, Università degli Studi di Milano, Milano.
Federica BonazzaPsicologia Clinica, Dipartimento di Scienze della Salute, Università degli Studi di Milano, Milano.
Giulia LamianiPsicologia Clinica, Dipartimento di Scienze della Salute, Università degli Studi di Milano, Milano.
Alessandro MusettiDipartimento di Discipline Umanistiche, Sociali e delle Imprese culturali, Università di Parma, Parma.
Tommaso ManariDipartimento di Discipline Umanistiche, Sociali e delle Imprese culturali, Università di Parma, Parma.
Maria FilosaDipartimento di Medicina e Chirurgia, Università di Parma, Parma.
Maria C QuattropaniDipartimento di Medicina Clinica e Sperimentale, Università di Messina, Messina.
Vittorio LenzoDipartimento di Scienze della Società e della Formazione d'Area Mediterranea, Università per Stranieri 'Dante Alighieri' di Reggio Calabria.
Maria Francesca FredaDipartimento di Scienze Umanistiche, Università Federico II, Napoli.
Daniela LemmoDipartimento di Scienze Umanistiche, Università Federico II, Napoli.
Emanuela SaitaDipartimento di Psicologia, Università Cattolica di Milano, Milano.
Roberto CattivelliDipartimento di Psicologia, Università Cattolica di Milano, Milano.
Gianluca CastelnuovoDipartimento di Psicologia, Università Cattolica di Milano, Milano.
Elena VegniPsicologia Clinica, Dipartimento di Scienze della Salute, Università degli Studi di Milano, Milano.
Christian FranceschiniDipartimento di Medicina e Chirurgia, Università di Parma, Parma.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to explore the emotional experiences related to the lockdown during the first pandemic wave, analysing the dreams of the Italian population. Through an online survey spread throughout the country, participants completed the Depression Anxiety Stress Scale-21 (DASS-21), the Resilience Scale (RS) and were asked to narrate a dream they had during the lockdown. The dreams were qualitatively analysed through the thematic content analysis. Logistic regression analyses were then conducted to verify the relationship among the categories that emerged and between these categories and the DASS-21 and RS scores. In the dreams 8 categories were identified (Places, Characters, Relationships, Actions, Danger, Death, Processes, and Emotions) composed of specific sub-categories, which seem to compose a sort of narrative structure of the dream. Some sub-categories were found to be predictor of depression and resilience or with exposure to COVID-19. Dreams can be a valid tool both to understand the experiences of the population during the pandemic and to evaluate those at risk of developing distress in clinical practice.

Indexed as

COVID-19distressDreamsgeneral populationmental health

Identifiers

PMID34568113
PMCPMC8451213

What OpenQuestion holds

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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.