COVID-19 lockdown impact on mental health in a large representative sample of Italian adults

Background: The potential benefits of the COVID-19 lockdown need to be carefully weighed versus the possible impact on people's daily life and negative mental health effects.We aimed to assess the prevalence of depression, anxiety, insomnia and quality of life before and during the COVID-19 lockdown,identifying subgroups at higher risk of mental distress as a consequence of COVID-19 associated restrictions. Methods: Within the Lost in Italy project, a web-based cross-sectional study was conducted on a representative sample of 6003 Italian adults aged 18-74 recruited from April 27 to May 3, 2020, within the nation-wide stay-athome order. Results: The prevalence of depressive symptoms (PHQ-2 > 3) increased from 14.3% before lockdown to 33.2% during lockdown, anxiety symptoms (GAD-2 > 3) from 18.1% to 41.5%, insufficient sleep (<= 6 h/day) from 33.7% to 41.1%, unsatisfactory sleep from 17.0% to 38.8% and unsatisfactory quality of life from 13.1% to 42.1%.Overall, 47.7% reported worsened depressive symptoms, 43.6% worsened anxiety symptoms, sleep quantity (31.5%) and quality (35.0%),and 64.1% worsened quality of life.A statistically significant relationship with all mental health outcomes considered was found for women vs. men (multivariate odds ratio,OR between 1.13 and 1.63), for current vs. never smokers (OR between 1.15 and 1.25), and with increasing physical activity (p for trend<0.001 for all the indicators).The use of at least one psychotropic drug increased by 20% compared to pre-lockdown (from 9.5% to 11.4%). Conclusions: This is the first cross-sectional study conducted in Italy on a representative sample of adults to testify the huge implications of the lockdown on mental health.

Automated summary

The study in Italy demonstrated the significant impact of lockdown on mental health, with increased prevalence of depression, anxiety, sleep problems, and dissatisfaction with quality of life during the lockdown. Women, smokers, and individuals with lower physical activity levels were more likely to be affected.