The Anxiety-Buffer Hypothesis in the Time of COVID-19: When Self-Esteem Protects From the Impact of Loneliness and Fear on Anxiety and Depression

Alessandro Rossi, Anna Panzeri, Giada Pietrabissa, Gian Mauro Manzoni, Gianluca Castelnuovo, Stefania Mannarini, Alessandro Rossi, Anna Panzeri, Giada Pietrabissa, Gian Mauro Manzoni, Gianluca Castelnuovo, Stefania Mannarini

Abstract

Introduction: The coronavirus (COVID-19) disease has spread worldwide, generating intense fear of infection and death that may lead to enduring anxiety. At the same time, quarantine and physical isolation can intensify feelings of dispositional loneliness that, by focusing on thoughts of disconnection from others, can trigger intense anxiety. Anxiety, generated by both fear of COVID-19 and dispositional loneliness, can activate negative expectations and thoughts of death, potentially generating alarming depressive symptoms. However, the anxiety-buffer hypothesis suggests that self-esteem acts as a shield (buffer) against mental health threats - fear and loneliness - thus hampering anxiety and depressive symptoms.

Objective: This study aims to test the process - triggered by COVID-19 fear and loneliness - in which self-esteem should buffer the path leading to anxiety symptoms, then to depression.

Methods: An observational research design with structural equation models was used. A sample of 1200 participants enrolled from the general population answered an online survey comprising: the fear of COVID-19 scale, the UCLA loneliness scale, the Rosenberg self-esteem scale, and the anxiety and depression scales of the Symptom Checklist-90-Revised.

Results: Structural equation models showed the link between anxiety symptoms (mediator) with both the fear of COVID-19 and dispositional loneliness (predictors), as well as its association with consequent depressive symptomatology (outcome). In line with the anxiety-buffer hypothesis, self-esteem mediated the relationship between the predictors and their adverse psychological consequences.

Conclusion: Self-esteem represents a protective factor from the antecedents of depression. Targeted psychological interventions should be implemented to minimize the psychological burden of the disease whilst promoting adaptation and positive psychological health outcomes.

Keywords: COVID-19; anxiety; anxiety buffer hypothesis; depression; fear; loneliness; self-esteem; terror management theory.

Copyright © 2020 Rossi, Panzeri, Pietrabissa, Manzoni, Castelnuovo and Mannarini.

Figures

FIGURE 1
FIGURE 1
Graphical representation of the several mediation models tested.
FIGURE 2
FIGURE 2
Graphical representation of the full sequential multiple mediation model with two-related different predictors.

References

    1. Ahorsu D. K., Lin C. Y., Imani V., Saffari M., Griffiths M. D., Pakpour A. H. (2020). The Fear of COVID-19 scale: development and initial validation. Int. J. Ment. Health Addict. [Epub ahead of print] 10.1007/s11469-020-00270-8
    1. Armitage R., Nellums L. B. (2020). COVID-19 and the consequences of isolating the elderly. Lancet. Public Health 5, e256–e256. 10.1016/s2468-2667(20)30061-x
    1. Balestroni G., Panzeri A., Omarini P., Cerutti P., Sacco D., Giordano A., et al. (2020). Psychophysical health of great elder inpatients in cardiac rehabilitation: a retrospective cohort study. Eur. J. Phys. Rehabil. Med. 56 197–205. 10.23736/S1973-9087.20.05970-5
    1. Balottin L., Mannarini S., Mensi M. M., Chiappedi M., Gatta M. (2017). Triadic interactions in families of adolescents with anorexia nervosa and families of adolescents with internalizing disorders. Front. Psychol. 7:2046. 10.3389/fpsyg.2016.02046
    1. Bandalos D. L., Finney S. J. (2001). “Item parceling issues in structural equation modeling,” in New Developments and Techniques in Structural Equation Modeling, eds Marcoulides G., Schumacker R. (New York, NY: Psychology Press; ).
    1. Barlow D. (2002). Anxiety and Its Disorders: The Nature and Treatment of Anxiety and Panic, 2nd Edn New York, NY: Guilford Press.
    1. Barrett P. (2007). Structural equation modelling: adjudging model fit. Pers. Individ. Diff. 42 815–824. 10.1016/j.paid.2006.09.018
    1. Baud D., Qi X., Nielsen-Saines K., Musso D., Pomar L., Favre G. (2020). Real estimates of mortality following COVID-19 infection. Lancet Infect. Dis. 20:773 10.1016/S1473-3099(20)30195-X
    1. Beck A. T. (1979). Cognitive Therapy of Depression. New York, NY: Guilford press.
    1. Becker E. (1971). Birth and Death of Meaning: An Interdisciplinary Perspective on the Problem of Man. New York, NY: Free Press.
    1. Becker E. (1973). The Denial of Death. New York, NY: Simon & Schuster.
    1. Bentler P. M. (1990). Comparative fit indexes in structural models. Psychol. Bull. 107 238–246. 10.1037/0033-2909.107.2.238
    1. Bentler P. M., Bonett D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychol. Bull. 88 588–606. 10.1037/0033-2909.88.3.588
    1. Bentler P. M., Chou C. H. (1987). Practical issues in structural modeling. Sociol. Methods Res. 16 78–117. 10.1177/0049124187016001004
    1. Betancourt T. S., Brennan R. T., Vinck P., VanderWeele T. J., Spencer-Walters D., Jeong J., et al. (2016). Associations between mental health and ebola-related health behaviors: a regionally representative cross-sectional survey in post-conflict sierra leone. PLoS Med. 13:e1002073. 10.1371/journal.pmed.1002073
    1. Boffo M., Mannarini S., Munari C. (2012). Exploratory structure equation modeling of the UCLA loneliness scale: a contribution to the Italian adaptation. TPM Test. Psychometr. Methodol. Appl. Psychol. 19 345–363. 10.4473/TPM19.4.7
    1. Bollen K. A. (1989). Structural Equations with Latent Variables. New York, NY: JohnWiley & Sons, Inc.
    1. Boomsma A., Hoogland J. J. (2001). “The robustness of LISREL modeling revisited. A Festschrift in honor of Karl Jöreskog,” in Structural Equation Models: Present and Future, eds Cudeck R., du Toit S., Sorbom D. (Lincolnwood: Scientific Software International; ), 139–168.
    1. Bowman G. S. (2001). Emotions and illness. J. Adv. Nurs. 34 256–263.
    1. Brage D., Meredith W. (1994). A causal model of adolescent depression. J. Psychol. 128 455–468. 10.1080/00223980.1994.9712752
    1. Brooks S. K., Webster R. K., Smith L. E., Woodland L., Wessely S., Greenberg N., et al. (2020). The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet 395 912–920. 10.1016/s0140-6736(20)30460-8
    1. Brown R. S., Lees-Haley P. R. (1992). Fear of Future Illness, Chemical AIDS, and Cancerphobia: A Review. Psychological Reports. Los Angeles, CA: SAGE Publications.
    1. Brown T. A. (2015). Confirmatory Factor Analysis for Applied Research (Second ed.). New York: The Guilford Press.
    1. Browne M. W., Cudeck R. (1989). Single sample cross-validation indices for covariance structures. Multivariate Behav. Res. 24 445–455. 10.1207/s15327906mbr2404_4
    1. Browne M. W., Cudeck R. (1992). Alternative ways of assessing model fit. Sociol. Methods Res. 21 230–258. 10.1177/0049124192021002005
    1. Byambasuren O., Cardona M., Bell K., Clark J., McLaws M.-L., Glasziou P. (2020). Estimating the extent of true asymptomatic COVID-19 and its potential for community transmission: systematic review and meta-analysis. MedRxiv [Preprint]. 10.1101/2020.05.10.20097543
    1. Cacioppo J. T., Hughes M. E., Waite L. J., Hawkley L. C., Thisted R. A. (2006). Loneliness as a specific risk factor for depressive symptoms: cross-sectional and longitudinal analyses. Psychol. Aging 21 140–151. 10.1037/0882-7974.21.1.140
    1. Cacioppo S., Capitanio J. P., Cacioppo J. T. (2014). Toward a neurology of loneliness HHS public access. Psychol. Bull. 140 1464–1504. 10.1037/a0037618
    1. Center for Disease Control and Prevention (2020). Coronavirus Disease 2019 (COVID-19): Manage Anxiety & Stress. Atlanta: CDC.
    1. Cerami C., Santi G. C., Galandra C., Dodich A., Cappa S. F., Vecchi T., et al. (2020). COVID-19 outbreak in Italy: are we ready for the psychosocial and economic crisis? baseline findings from the longitudinal psycovid study. SSRN Electron. J. 1–29. 10.2139/ssrn.3569868
    1. Chen F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct. Equ. Model. Multidiscip. J. 14 464–504. 10.1080/10705510701301834
    1. Cheung G. W., Rensvold R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Struct. Equ. Model. 9 233–255. 10.1207/S15328007SEM0902_5
    1. Chew Q., Wei K., Vasoo S., Chua H., Sim K. (2020). Narrative synthesis of psychological and coping responses towards emerging infectious disease outbreaks in the general population: practical considerations for the COVID-19 pandemic. Singap. Med. J. 61 350–356. 10.11622/smedj.2020046
    1. Çivitci N., Çivitci A. (2009). Self-esteem as mediator and moderator of the relationship between loneliness and life satisfaction in adolescents. Pers. Individ. Diff. 47 954–958. 10.1016/j.paid.2009.07.022
    1. Coffman D. L., MacCallum R. C. (2005). Using parcels to convert path analysis models into latent variable models. Multivariate Behav. Res. 40 235–259. 10.1207/s15327906mbr4002_4
    1. Daniel R. M., De Stavola B. L., Cousens S. N., Vansteelandt S. (2015). Causal mediation analysis with multiple mediators. Biometrics 71 1–14. 10.1111/biom.12248
    1. Derogatis L. R., Unger R. (2010). “Symptom checklist-90-revised,” in Corsini Encyclopedia of Psychology, eds Nemeroff C., Craighead W. E. (Hoboken, NJ: John Wiley & Sons, Inc; ). 10.1007/978-3-319-56782-2_2012-2
    1. Duan L., Zhu G. (2020). Psychological interventions for people affected by the COVID-19 epidemic. Lancet Psychiatry 7 300–302. 10.1016/s2215-0366(20)30073-0
    1. Enez Darcin A., Kose S., Noyan C. O., Nurmedov S., Yılmaz O., Dilbaz N. (2016). Smartphone addiction and its relationship with social anxiety and loneliness. Behav. Inform. Technol. 35 520–525. 10.1080/0144929X.2016.1158319
    1. Faccio E., Belloni E., Cipolletta S., Iudici A., Castiglioni M., Mannarini S. (2019). The power of weight and the weight of power in adolescence: a comparison between young and adult women. J. Fam. Stud. 25 46–60. 10.1080/13229400.2016.1187660
    1. Fiedler K., Schott M., Meiser T. (2011). What mediation analysis can (not) do. J. Exp. Soc. Psychol. 47 1231–1236. 10.1016/j.jesp.2011.05.007
    1. Fiese B. H., Tomcho T. J., Douglas M., Josephs K.-B., Poltrock S., Baker T. (2002). A review of 50 years of research on naturally occurring family routines and rituals: cause for celebration? J. Fam. Psychol. 16 381–390. 10.1037/0893-3200.16.4.381
    1. Flora D. B., Curran P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychol. Methods 9 466–491. 10.1037/1082-989X.9.4.466
    1. Frazier P. A., Tix A. P., Barron K. E. (2004). Testing moderator and mediator effects in counseling psychology research. J. Counsel. Psychol. 51 115–134. 10.1037/0022-0167.51.1.115
    1. Fricker R. D. (2008). “Sampling methods for web and e-mail surveys,” in The SAGE Handbook of Online Research Methods, eds Fielding N., Blank G., Lee R. M. (Thousand Oaks, CA: SAGE; ), 195–216. 10.4135/9780857020055.n11
    1. Gonzalez R., Griffin D. (2001). Testing parameters in structural equation modeling: every “one” matters. Psychol. Methods 6 258–269. 10.1037/1082-989x.6.3.258
    1. Graham J. W. (2004). “Creating parcels for multi-dimensional constructs in structural equation modeling,” in Proceedings of the Biennal Meeting of the Society for Multivariate Analysis in the Behavioral Sciences, Jena.
    1. Graham J. W., Tatterson J. W., Widaman K. F. (2000). “Creating parcels for multidimensional constructs in structural equation modeling,” in Proceedings of the Annual Meeting of the Society of Multivariate Experimental Psychology, Saratoga Springs, NY.
    1. Greenberg J., Pyszczynski T., Solomon S. (1986). “The causes and consequences of a need for self-esteem: a terror management theory,” in Public Self and Private Self, ed. Baumeister R. (New York: Springer; ), 189–212. 10.1007/978-1-4613-9564-5_10
    1. Greenberg J., Solomon S., Pyszczynski T., Rosenblatt A., Burling J., Lyon D., et al. (1992). Why do people need self-esteem? Converging evidence that self-esteem serves an anxiety-buffering function. J. Pers. Soc. Psychol. 63 913–922. 10.1037/0022-3514.63.6.913
    1. Harding K. J., Skritskaya N., Doherty E., Fallon B. A. (2008). Advances in understanding illness anxiety. Curr. Psychiatry Rep. 10 311–317. 10.1007/s11920-008-0050-1
    1. Harman H. H. (1976). Modern Factor Analysis. Chicago, IL: University of Chicago Press.
    1. Harmon-Jones E., Simon L., Greenberg J., Solomon S., Pyszczynski T., McGregor H. (1997). Terror management theory and self-esteem: evidence that increased self-esteem reduces mortality salience effects. J. Pers. Soc. Psychol. 72 24–36. 10.1037/0022-3514.72.1.24
    1. Harper C. A., Satchell L. P., Fido D., Latzman R. D. (2020). Functional fear predicts public health compliance in the COVID-19 pandemic. Int. J. Ment. Health Addict. [Epub ahead of print] 10.1007/s11469-020-00281-5
    1. Hayes A. F. (2009). Beyond baron and kenny: statistical mediation analysis in the new millennium. Commun. Monogr. 76 408–420. 10.1080/03637750903310360
    1. Hayes A. F. (2017). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, 2nd Edn New York, NY: Guilford publications.
    1. Heinrich L. M., Gullone E. (2006). The clinical significance of loneliness: a literature review. Clin. Psychol. Rev 26 695–718. 10.1016/j.cpr.2006.04.002
    1. Hossain M. M., Sultana A., Purohit N. (2020). Mental health outcomes of quarantine and isolation for infection prevention: a systematic umbrella review of the global evidence. SSRN Electron. J. [Epub ahead of print]. 10.2139/ssrn.3561265
    1. Hoyle R. H. (2012). Handbook of Strucural Equation Modeling. New York, NY: The Guilford Press.
    1. Hu L. T., Bentler P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct. Equ. Model. 6 1–55. 10.1080/10705519909540118
    1. Huremović D. (2019). “Psychiatry of pandemics. a mental health response to infection outbreak,” in Psychiatry of Pandemics, ed. Huremović D. (Cham: Springer International Publishing; ). 10.1007/978-3-030-15346-5_1
    1. Iacobucci D. (2008). Mediation Analysis. Thousand Oaks, CA: Sage Publications, Inc.
    1. Iacobucci D. (2009). Everything you always wanted to know about SEM (structural equations modeling) but were afraid to ask. J. Consum. Psychol. 19 673–680. 10.1016/j.j.2009.09.002
    1. Iacobucci D. (2010). Structural equations modeling: fit indices, sample size, and advanced topics. J. Consum. Psychol. 20 90–98. 10.1016/j.jcps.2009.09.003
    1. Iacobucci D., Saldanha N., Deng X. (2007). A meditation on mediation: evidence that structural equations models perform better than regressions. J. Consum. Psychol. 17 139–153. 10.1016/s1057-7408(07)70020-7
    1. Iannone R. (2018). DiagrammeR: Graph/Network Visualization. 1.0.0.
    1. Jiang F., Deng L., Zhang L., Cai Y., Cheung C. W., Xia Z. (2020). Review of the clinical characteristics of coronavirus disease 2019 (COVID-19). J. Gen. Intern. Med. 35 1545–1549.
    1. Jorgensen T. D., Pornprasertmanit S., Schoemann A. M., Rosseel Y. (2019). semTools: Useful tools for structural equation modeling (Version 0.5–2).
    1. Király O., Potenza M. N., Stein D. J., King D. L., Hodgins D. C., Saunders J. B., et al. (2020). Preventing problematic internet use during the COVID-19 pandemic: consensus guidance. Compr. Psychiatry 100:152180. 10.1016/j.comppsych.2020.152180
    1. Kishton J. M., Widaman K. F. (1994). Unidimensional versus domain representative parceling of questionnaire items: an empirical example. Educ. Psychol. Meas. 54 757–765. 10.1177/0013164494054003022
    1. Kline R. B. (2016). Principles and Practice of Structural Equation Modeling. New York, NY: The Guilford Press.
    1. Lai J., Ma S., Wang Y., Cai Z., Hu J., Wei N., et al. (2020). Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Netw. Open 3:e203976. 10.1001/jamanetworkopen.2020.3976
    1. Leigh-Hunt N., Bagguley D., Bash K., Turner V., Turnbull S., Valtorta N., et al. (2017). An overview of systematic reviews on the public health consequences of social isolation and loneliness. Public Health 152 157–171. 10.1016/j.puhe.2017.07.035
    1. Lima C. K. T., Carvalho P. M. M., Lima I. A. A. S., Nunes J. V. A., Saraiva J. S., de Souza R. I., et al. (2020). The emotional impact of coronavirus 2019-Ncov (New coronavirus disease). Psychiatry Res. 287:112915. 10.1016/j.psychres.2020.112915
    1. Lin C.-Y. (2020). Social reaction toward the 2019 novel coronavirus (COVID-19). Soc. Health Behav. 3:1 10.4103/shb.shb_11_20
    1. Lionetti F., Keijsers L., Dellagiulia A., Pastore M. (2016). Evidence of factorial validity of parental knowledge, control and solicitation, and adolescent disclosure scales: when the ordered nature of Likert scales matters. Front. Psychol. 7:941. 10.3389/fpsyg.2016.00941
    1. Little T. D., Cunningham W. A., Shahar G., Widaman K. F. (2002). To parcel or not to parcel: exploring the question, weighing the merits. Struct. Equ. Model. A Multidiscip. J. 9 151–173. 10.1207/s15328007sem0902_1
    1. Little T. D., Rhemtulla M., Gibson K., Schoemann A. M. (2013). Why the items versus parcels controversy needn’t be one. Psychol. Methods 18 285–300. 10.1037/a0033266
    1. Liu K., Chen Y., Lin R., Han K. (2020). Clinical features of COVID-19 in elderly patients: a comparison with young and middle-aged patients. J. Infect. 80 e14–e18.
    1. Lunn P., Belton C., Lavin C., Mcgowan F., Timmons S., Robertson D. (2020). Using behavioural science to help fight the coronavirus. Behav. Res. Unit 656 1–24.
    1. MacKinnon D. P. (2012). Introduction to Statistical Mediation Analysis. New York, NY: Routledge
    1. MacKinnon D. P., Cheong J., Pirlott A. G. (2012). “An introduction to statistical mediation analys,” in APA Handbook of Research Methods in Psychology. Research Designs: Quantitative, Qualitative, Neuropsychological, and Biological, eds Cooper H., Camic P. M., Long D. L., Panter A. T., Rindskopf D., Sher K. J. (Washington, DC: American Psychological Association; ), 313–331.
    1. MacKinnon D. P., Fairchild A. J., Fritz M. S. (2007). Mediation analysis. Annu. Rev. Psychol. 58 593–614. 10.1146/annurev.psych.58.110405.085542
    1. MacKinnon D. P., Kisbu-Sakarya Y., Gottschall A. C. (2013). “Developments in mediation analysis,” in The Oxford Handbook of Quantitative Methods: Statistical Analysis, Vol. 2 (New York, NY, US: Oxford University Press; ), 338–360.
    1. Mannarini S. (2010). Assessing the Rosenberg Self-esteem Scale dimensionality and items functioning in relation to self-efficacy and attachment styles. TPM Test Psychom. Methodol. Appl. Psychol. 4 229–242.
    1. Mannarini S., Boffo M., Bertucci V., Andrisani A., Ambrosini G. (2013). A Rasch-based dimension of delivery experience: spontaneous vs. medically assisted conception. J. Clin. Nurs. 22 2404–2416. 10.1111/jocn.12264
    1. Mannarini S., Boffo M., Rossi A., Balottin L. (2018). Etiological beliefs, treatments, stigmatizing attitudes toward schizophrenia. What do Italians and Israelis think? Front. Psychol. 8:2289. 10.3389/fpsyg.2017.02289
    1. Mannarini S., Balottin L., Munari C., Gatta M. (2017a). Assessing conflict management in the couple: the definition of a latent dimension. Fam. J. 25 13–22. 10.1177/1066480716666066
    1. Mannarini S., Reikher A., Shani S., Shani-Zinovich I. (2017b). The role of secure attachment, empathic self-efficacy, and stress perception in causal beliefs related to mental illness - a cross-cultural study: Italy versus Israel. Psychol. Res. Behav. Manag. 10 313–321. 10.2147/PRBM.S138683
    1. Mannarini S., Rossi A. (2019). Assessing mental illness stigma: a complex issue. Front. Psychol. 9:2722. 10.3389/fpsyg.2018.02722
    1. Mannarini S., Rossi A., Munari C. (2020). How do education and experience with mental illness interact with causal beliefs, eligible treatments and stigmatising attitudes towards schizophrenia? A comparison between mental health professionals, psychology students, relatives and patients. BMC Psychiatry 20:167. 10.1186/s12888-020-02580-6
    1. Marsh H. W., Balla J. R., McDonald R. P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: the effect of sample size. Psychol. Bull. 103 391–410. 10.1037/0033-2909.103.3.391
    1. McDonald R. P., Ho M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychol. Methods 7 64–82. 10.1037/1082-989x.7.1.64
    1. McIntyre R. S., Lee Y. (2020). Preventing suicide in the context of the COVID-19 pandemic. World Psychiatry Off. J. World Psychiatr. Assoc. 19 250–251. 10.1002/wps.20767
    1. Meredith W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika 58 525–543. 10.1007/bf02294825
    1. Millsap R. E. (2012). Statistical Approaches to Measurement Invariance. New York, NY: Routledge.
    1. Moody E. J. (2001). Internet use and its relationship to loneliness. Cyberpsychol. Behav. 4 393–401. 10.1089/109493101300210303
    1. Muthén B., Asparouhov T. (2002). Latent variable analysis with categorical outcomes: multiple-group and growth modeling in Mplus. Mplus Web Notes 9 1–22.
    1. Muthén L. K., Muthén B. O. (1998-2017). Mplus User’s Guide, 8th Edn Los Angeles, CA: Muthén & Muthén.
    1. Olmstead R. E., Guy S. M., O’Malley P. M., Bentler P. M. (1991). Longitudinal assessment of the relationship between self-esteem, fatalism, loneliness, and substance use. J. Soc. Behav. Pers. 6 749–770. 10.1017/CBO9781107415324.004
    1. Panzeri A., Rossi Ferrario S., Vidotto G. (2019). Interventions for psychological health of stroke caregivers: a systematic review. Front. Psychol. 10:2045. 10.3389/fpsyg.2019.02045
    1. Parola A. (2020). Novel coronavirus outbreak and career development: a narrative approach into the meaning for Italian University Graduates. Front. Psychol. 11:2255 10.3389/fpsyg.2020.02255
    1. Parola A., Donsì L. (2018). Suspended in time. Inactivity and perceived malaise in NEET young adults. Psicol. Della Salute 3 44–73. 10.3280/PDS2018-003003
    1. Parola A., Donsì L. (2019). Time perspective and employment status: NEET categories as negative predictor of future. Mediterranean J. Clin. Psychol. 7 1–20. 10.6092/2282-1619/2019.7.2093
    1. Parola A., Rossi A., Tessitore F., Troisi G., Mannarini S. (2020). Mental health through the COVID-19 quarantine: a growth curve analysis on Italian young adults. Front. Psychol. 11. 10.3389/fpsyg.2020.567484
    1. Peplau L. A., Perlman D. (1982). Loneliness: A Sourcebook of Current Theory, Research, and Therapy. Hoboken, NJ: Wiley.
    1. Podsakoff P. M., MacKenzie S. B., Lee J. Y., Podsakoff N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88 879–903. 10.1037/0021-9010.88.5.879
    1. Preacher K. J. (2015). Advances in mediation analysis: a survey and synthesis of new developments. Annu. Rev. Psychol. 66 825–852.
    1. Prezza M., Trombaccia F. R., Armento L. (1997). La scala dell’autostima di Rosenberg: Traduzione e validazione Italiana. Florence: Giunti Organizzazioni Speciali.
    1. Pyszczynski T., Solomon S., Greenberg J., Arndt J., Schimel J. (2004). Why do people need self-esteem? A theoretical and empirical review. Psychol. Bull. 130 435–468. 10.1037/0033-2909.130.3.435
    1. R Core Team (2014). The R Project for Statistical Computing. Vienna: R Foundation for Statistical Computing.
    1. R Core Team (2017). R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.
    1. Ratti M. M., Rossi A., Delli Zotti G. B., Sarno L., Spotti D. (2017). Social support, psychological distress and depression in hemodialysis patients. Psicol. Della Salute 1 112–122. 10.3280/PDS2017-001006
    1. Revelle W. (2018). psych: Procedures for Personality and Psychological Research. Evanston, IL: Northwestern University.
    1. Rico-Uribe L. A., Caballero F. F., Martín-María N., Cabello M., Ayuso-Mateos J. L., Miret M. (2018). Association of loneliness with all-cause mortality: a meta-analysis. PLoS One 13:e0190033. 10.1371/journal.pone.0190033
    1. Rosenberg M. (1965). Society and the Adolescent Self-Image. Princeton, NJ: Princeton University Press.
    1. Rosseel Y. (2012). lavaan: an R package for structural equation modeling. J. Stat. Softw. 48 1–36. 10.18637/jss.v048.i02
    1. Rosseel Y., Oberski D., Byrnes J., Vanbrabant L., Savalei V., Merkle E., et al. (2015). Package ‘lavaan’.
    1. Rossi A., Mannarini S. (2019). The Italian version of the attitudes toward seeking professional psychological help scale – short form: the first contribution to measurement invariance. TPM Test. Psychometr. Methodol. Appl. Psychol. 26 93–100. 10.4473/tpm26.1.5
    1. Rossi Ferrario S., Panzeri A. (2020). Exploring illness denial of LVAD patients in cardiac rehabilitation and their caregivers: a preliminary study. Artif. Organs 44 655–660. 10.1111/aor.13630
    1. Rossi Ferrario S., Panzeri A., Anselmi P., Vidotto G. (2019). Development and psychometric properties of a short form of the illness denial questionnaire. Psychol. Res. Behav. Manag. 12 1–13.
    1. Rucker D. D., Preacher K. J., Tormala Z. L., Petty R. E. (2011). Mediation analysis in social psychology: current practices and new recommendations. Soc. Pers. Psychol. Compass 5 359–371. 10.1111/j.1751-9004.2011.00355.x
    1. Russell D. W. (1996). UCLA loneliness scale (Version 3): reliability, validity, and factor structure. J. Pers. Assess. 66 20–40. 10.1207/s15327752jpa6601_2
    1. Santini Z. I., Nielsen L., Hinrichsen C., Meilstrup C., Madsen K. R., Koushede V., et al. (2020). Social disconnectedness, perceived isolation, and symptoms of depression and anxiety among older Americans (NSHAP): a longitudinal mediation analysis. Articles Lancet Public Health 5 E62–E70. 10.1016/S2468-2667(19)30230-0
    1. Sareen J., Jagdeo A., Cox B. J., Clara I., ten Have M., Belik S.-L., et al. (2007). Perceived barriers to mental health service utilization in the United States, Ontario, and the Netherlands. Psychiatr. Serv. 58 357–364. 10.1176/ps.2007.58.3.357
    1. Schaller M., Murray D. R., Bangerter A. (2015). Implications of the behavioral immune system for social behavior and human health in the modern world. Philos. Trans. R. Soc. Lond. B Biol. Sci. 370:20140105.
    1. Soraci P., Ferrari A., Abbiati F. A., Del Fante E., De Pace R., Urso A., et al. (2020). Validation and psychometric evaluation of the Italian version of the fear of COVID-19 scale. Int. J. Ment. Health Addict. [Epub ahead of print] 10.1007/s11469-020-00277-1
    1. Sowislo J. F., Orth U. (2013). Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies. Psychol. Bull. 139 213–240.
    1. Starr L. R., Davila J. (2012). Responding to anxiety with rumination and hopelessness: mechanism of anxiety-depression symptom co-occurrence? Cogn. Ther. Res. 36 321–337. 10.1007/s10608-011-9363-1
    1. Steiger J. H. (1990). Structural model evaluation and modification: an interval estimation approach. Multivariate Behav. Res. 25 173–180. 10.1207/s15327906mbr2502_4
    1. Steiger J. H., Lind J. C. (1980). “Statistically-based test for the number of common factors,” in Proceedings of the Annual Meeting of the Psychometric Society, Iowa City, IA.
    1. Tabachnick B. G., Fidell L. S. (2014). Using Multivariate Statistics. Harlow: Pearson.
    1. Thakur V., Jain A. (2020). COVID 2019-suicides: a global psychological pandemic. Brain Behav. Immun. 88 952–953. 10.1016/j.bbi.2020.04.062
    1. Thompson E. A., Mazza J. J., Herting J. R., Randell B. P., Eggert L. L. (2005). The mediating roles of anxiety, depression, and hopelessness on adolescent suicidal behaviors. Suicide Life Threat. Behav. 35 14–34. 10.1521/suli.35.1.14.59266
    1. Tomarken A. J., Waller N. G. (2005). Structural equation modeling: strengths, limitations, and misconceptions. Annu. Rev. Clin. Psychol. 1 31–65. 10.1146/annurev.clinpsy.1.102803.144239
    1. Torales J., O’Higgins M., Castaldelli-Maia J. M., Ventriglio A. (2020). The outbreak of COVID-19 coronavirus and its impact on global mental health. Int. J. Soc. Psychiatry 66 317–320. 10.1177/0020764020915212
    1. Usher K., Bhullar N., Jackson D. (2020). Life in the pandemic: social isolation and mental health. J. Clin. Nurs. 29 2756–2757. 10.1111/jocn.15290
    1. van de Schoot R., Lugtig P., Hox J. (2012). A checklist for testing measurement invariance. Eur. J. Dev. Psychol. 9 486–492. 10.1080/17405629.2012.686740
    1. Vandenberg R. J., Lance C. E. (2000). A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ. Res. Methods 3 4–70. 10.1177/109442810031002
    1. VanderWeele T., Vansteelandt S. (2014). Mediation analysis with multiple mediators. Epidemiol. Methods 2:95. 10.1515/em-2012-0010
    1. Vidotto G., Anselmi P., Filipponi L., Tommasi M., Saggino A. (2018). Using overt and covert items in self-report personality tests: susceptibility to faking and identifiability of possible fakers. Front. Psychol. 9:1100. 10.3389/fpsyg.2018.01100
    1. Wang C., Pan R., Wan X., Tan Y., Xu L., Ho C. S., et al. (2020). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int. J. Environ. Res. Public Health 17:1729. 10.3390/ijerph17051729
    1. Weston R., Gore P. A. (2006). A brief guide to structural equation modeling. Counsel. Psychol. 34 719–751. 10.1177/0011000006286345
    1. Wiedermann W., von Eye A. (2015). Direction of effects in mediation analysis. Psychol. Methods 20 221–244. 10.1037/met0000027
    1. Wilson C. J., Deane F. P. (2012). Brief report: need for autonomy 554 and other perceived barriers relating to adolescents’ intentions to seek professional mental health care. J. Adolesc. 35 233–237. 10.1016/j.adolescence.2010.06.011
    1. Wind T. R., Rijkeboer M., Andersson G., Riper H. (2020). The COVID-19 pandemic: the ‘black swan’ for mental health care and a turning point for e-health. Internet Intervent. 20:100317. 10.1016/j.invent.2020.100317
    1. World Health Organization [WHO] (2020). WHO Director-General’s opening remarks at the media briefing on COVID-19 - 11 March 2020. Geneva: WHO.
    1. Yang C., Nay S., Hoyle R. H. (2010). Three approaches to using lengthy ordinal scales in structural equation models:parceling, latent scoring, and shortening scales. Appl. Psychol. Meas. 34 122–142. 10.1177/0146621609338592
    1. Yao H., Chen J.-H., Xu Y.-F. (2020). Patients with mental health disorders in the COVID-19 epidemic. Lancet Psychiatry 7:e21 10.1016/S2215-0366(20)30090-0
    1. Yu C. Y. (2002). Evaluating Cutoff Criteria of Model Fit Indices for Latent Variable Models with Binary and Continuous Outcomes. Ph.D. thesis, University of California, California.
    1. Zheng Y. Y., Ma Y. T., Zhang J. Y., Xie X. (2020). COVID-19 and the cardiovascular system. Nat. Rev. Cardiol. Nat. Res. 17 259–260. 10.1038/s41569-020-0360-5
    1. Zhou X., Snoswell C. L., Harding L. E., Bambling M., Edirippulige S., Bai X., et al. (2020). The role of telehealth in reducing the mental health burden from COVID-19. Telemed. E Health 26 377–379. 10.1089/tmj.2020.0068

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