Poor Sleep Quality and Its Consequences on Mental Health During the COVID-19 Lockdown in Italy

Frontiers in Psychology

Gianluca Castelnuovo¹  Roberto Cattivelli¹  Giuseppe Plazzi²  Dieter Riemann³  Laura Palagini⁴  Maria Catena Quattropani⁵  Vittorio Lenzo⁵  Elena Vegni⁶  Lidia Borghi⁶  Daniela Lemmo⁷  Maria Francesca Freda⁷  Alessandro Musetti⁸  Christian Franceschini⁹  Emanuela Saita^1,10  Luigi De Gennaro^1,11  Serena Scarpelli^1,11  Corrado Zenesini^1,12 

[1] 0Psychology Research Laboratory, Ospedale San Giuseppe, Istituto Auxologico Italiano IRCCS, Verbania, Italy;1Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy;2Medical Center, Department of Psychiatry and Psychotherapy, Faculty of Medicine, University of Freiburg, Freiburg, Germany;Department of Clinical and Experimental Medicine, Psychiatric Section, University of Pisa, Azienda Ospedaliera Universitaria Pisana (AOUP), Pisa, Italy;Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy;Department of Health Sciences, University of Milan, Milan, Italy;Department of Humanistic Studies, University of Naples Federico II, Naples, Italy;Department of Humanities, Social Sciences and Cultural Industries, University of Parma, Parma, Italy;Department of Medicine and Surgery, University of Parma, Parma, Italy;Department of Psychology, Catholic University of Milan, Milan, Italy;IRCCS Fondazione Santa Lucia, Rome, Italy;IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy;

关键词: sleep quality;    sleep habits;    COVID-19;    Italian lockdown;    depression;    anxiety;   

DOI  :  10.3389/fpsyg.2020.574475

来源: DOAJ

【 摘 要 】

BackgroundCoronavirus disease 2019 (COVID-19) seriously affected the whole of Italy. The extreme virulence and the speed of propagation resulted in restrictions and home confinement. This change was immediately perceived by people who found themselves exposed to feelings of uncertainty, fear, anger, stress, and a drastic change in the diurnal but above all nocturnal lifestyle. For these reasons, we aimed to study the quality of sleep and its connection to distress levels and to evaluate how lifestyle changed in the Italian population during the lockdown.MethodsBy means of an Internet survey we recruited 6,519 adults during the whole of the COVID-19 lockdown (from March 10–1st phase to May 4–2nd phase). We investigated the sociodemographic and COVID-19-related information and assessed sleep quality using the Medical Outcomes Study–sleep scale (MOS-SS) and mental health with the short form of Depression, Anxiety, and Stress Scales–21 Items (DASS-21). Multiple logistic regression model was used to evaluate the multivariate association between the dependent variable (good sleeper vs. poor sleeper) and all the variables that were significant in the univariate analysis.ResultsA total of 3,562 (55.32%) participants reported poor sleep quality according to the MOS-Sleep Index II score. The multiple binary logistic regression results of poor sleepers revealed several risk factors during the outbreak restrictions: female gender, living in Central Italy, having someone close who died because of COVID-19, markedly changed sleep–wake rhythms characterized by earlier or postponed habitual bedtime, earlier habitual awakening time and reduced number of afternoon naps, and extremely severe levels of stress, anxiety, and depression.ConclusionThis is the first study designed to understand sleep quality and sleep habits during the whole of the lockdown period in the Italian population that provides more than 6,000 participants in a survey developed specifically for the health emergency related to COVID-19. Our study found that more than half of the Italian population had impaired sleep quality and sleep habits due to elevated psychological distress during the COVID-19 lockdown containment measures. A multidisciplinary action should be undertaken in order to plan appropriate responses to the current crisis caused by the lockdown for the COVID-19 outbreak.

【 授权许可】

Unknown