TY - JOUR
T1 - Dreaming during lockdown: A quali-quantitative analysis of the Italian population dreams during the first COVID-19 pandemic wave
AU - Borghi, Lidia
AU - Bonazza, Federica
AU - Lamiani, Giulia
AU - Musetti, Alessandro
AU - Manari, Tommaso
AU - Filosa, Maria
AU - Quattropani, Maria C.
AU - Lenzo, Vittorio
AU - Freda, Maria Francesca
AU - Lemmo, Daniela
AU - Saita, Emanuela
AU - Cattivelli, Roberto
AU - Castelnuovo, Gianluca
AU - Vegni, Elena
AU - Franceschini, Christian
AU - Franceschini, Catia
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - COVID-19
KW - Distress
KW - Dreams
KW - General population
KW - Mental health
KW - COVID-19
KW - Distress
KW - Dreams
KW - General population
KW - Mental health
UR - http://hdl.handle.net/10807/186819
U2 - 10.4081/ripppo.2021.547
DO - 10.4081/ripppo.2021.547
M3 - Article
SN - 2239-8031
VL - 24
SP - 200
EP - 211
JO - RESEARCH IN PSYCHOTHERAPY
JF - RESEARCH IN PSYCHOTHERAPY
ER -