Risk and protective factors for psychological distress among Italian university students during the COVID-19 pandemic: The beneficial role of health engagement
Restricted accessLetterFirst published online February, 2021
Risk and protective factors for psychological distress among Italian university students during the COVID-19 pandemic: The beneficial role of health engagement
BakkerA. B.DemeroutiE.VerbekeW. (2004). Using the job demands-resources model to predict burnout and performance. Human Resource Management, 43(1), 83–104. https://doi.org/10.1002/hrm.20004
2.
BarelloS.GraffignaG. (2015). Engaging patients to recover life projectuality: An Italian cross-disease framework. Quality of Life Research, 24(5), 1087–1096. https://doi.org/10.1007/s11136-014-0846-x
3.
BarelloS.PalamenghiL.GraffignaG. (2020). Burnout and somatic symptoms among frontline healthcare professionals at the peak of the Italian COVID-19 pandemic. Psychiatry Research, 290, 113129. https://doi.org/10.1016/j.psychres.2020.113129
4.
CraparoG.FaraciP.RotondoG.GoriA. (2013). The Impact of Event Scale-Revised: Psychometric properties of the Italian version in a sample of flood victims. Neuropsychiatric Disease and Treatment, 9, 1427–1432. https://doi.org/10.2147/NDT.S51793
5.
DubeyS.BiswasP.GhoshR.ChatterjeeS.DubeyM. J.ChatterjeeS.. . . LavieC. J. (2020). Psychosocial impact of COVID-19. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 779–788. https://doi.org/10.1016/j.dsx.2020.05.035
6.
Garnier-CrussardA.ForestierE.GilbertT.Krolak-SalmonP. (2020). Novel coronavirus (COVID-19) epidemic: What are the risks for older patients?Journal of the American Geriatrics Society, 68(5), 939–940. https://doi.org/10.1111/jgs.16407
7.
GraffignaG.BarelloS.BonanomiA.LozzaE. (2015). Measuring patient engagement: Development and psychometric properties of the Patient Health Engagement (PHE) Scale. Frontiers in Psychology, 6, Article 274. https://doi.org/10.3389/fpsyg.2015.00274
8.
GraffignaG.BarelloS.SavareseM.PalamenghiL.CastelliniG.BonanomiA.LozzaE. (2020, April25). Measuring Italian citizens’ engagement in the first wave of the COVID-19 pandemic containment measures a cross-sectional study. medRxiv. https://doi.org/10.1101/2020.04.22.20075234
9.
LiS.WangY.XueJ.ZhaoN.ZhuT. (2020). The impact of covid-19 epidemic declaration on psychological consequences: A study on active Weibo users. International Journal of Environmental Research and Public Health, 17(6), 2032. https://doi.org/10.3390/ijerph17062032
10.
LimaC. K. T.de Medeiros CarvalhoP. M.LimaI. D. A. S.de Oliveira NunesJ. V. A.SaraivaJ. S.de SouzaR. I.. . . NetoM. L. R. (2020). The emotional impact of coronavirus 2019-nCoV (new coronavirus disease). Psychiatry Research, 287, 112915. https://doi.org/10.1016/j.psychres.2020.112915
11.
RovettaA.BhagavathulaA. S. (2020). COVID-19-related web search behaviors and infodemic attitudes in Italy: Infodemiological study. Journal of Medical Internet Research, 6(2), Article e19374. https://doi.org/10.2196/19374
12.
TangW.HuT.HuB.JinC.WangG.XieC.. . . XuJ. (2020). Prevalence and correlates of PTSD and depressive symptoms one month after the outbreak of the COVID-19 epidemic in a sample of home-quarantined Chinese university students. Journal of Affective Disorders, 274, 1–7. https://doi.org/10.1016/j.jad.2020.05.009
13.
ToralesJ.O’HigginsM.Castaldelli-MaiaJ. M.VentriglioA. (2020). The outbreak of COVID-19 coronavirus and its impact on global mental health. International Journal of Social Psychiatry, 66(4), 317–320. https://doi.org/10.1177/0020764020915212