Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-23T18:52:36.384Z Has data issue: false hasContentIssue false

Did we learn something positive out of the COVID-19 pandemic? Post-traumatic growth and mental health in the general population

Published online by Cambridge University Press:  10 January 2022

Giulia Menculini*
Affiliation:
Department of Psychiatry, University of Perugia, Perugia, Italy
Umberto Albert
Affiliation:
Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy Department of Mental Health, Psychiatric Clinic, Azienda Sanitaria Universitaria Giuliano-Isontina—ASUGI, Trieste, Italy
Valeria Bianchini
Affiliation:
Department of Life, Health and Environmental Sciences, Psychiatric Unit: Trattamenti Riabilitativi Psicosociali, Interventi Precoci, TRIP, Psychosocial Rehabilitation Treatment, Early Interventions University Unit, University of L’Aquila, L’Aquila, Italy
Claudia Carmassi
Affiliation:
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
Giuseppe Carrà
Affiliation:
Department of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy
Francesca Cirulli
Affiliation:
Center for Behavioral Sciences and Mental Health, National Institute of Health, Rome, Italy
Bernardo Dell’Osso
Affiliation:
Department of Mental Health, University of Milan, Milan, Italy Department of Biomedical and Clinical Sciences “Luigi Sacco”, University of Milan, Milan, Italy Department of Health Sciences, Aldo Ravelli Center for Neurotechnology and Brain Therapeutic, University of Milan, Milan, Italy
Michele Fabrazzo
Affiliation:
Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie, Naples, Italy
Francesco Perris
Affiliation:
Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie, Naples, Italy
Gaia Sampogna
Affiliation:
Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Largo Madonna delle Grazie, Naples, Italy
Maria Giulia Nanni
Affiliation:
Department of Biomedical and Specialty Surgical Sciences, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
Maurizio Pompili
Affiliation:
Department of Neurosciences, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
Gabriele Sani
Affiliation:
Department of Neuroscience, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome, Italy Department of Psychiatry, Fondazione Policlinico Agostino Gemelli IRCCS, Rome, Italy
Umberto Volpe
Affiliation:
Clinical Psychiatry Unit, Department of Clinical Neurosciences, Università Politecnica delle Marche, Ancona, Italy
Alfonso Tortorella
Affiliation:
Department of Psychiatry, University of Perugia, Perugia, Italy
*
*Author for correspondence: Giulia Menculini, E-mail: [email protected]

Abstract

Background

When facing a traumatic event, some people may experience positive changes, defined as posttraumatic growth (PTG).

Methods

Understanding the possible positive consequences of the pandemic on the individual level is crucial for the development of supportive psychosocial interventions. The present paper aims to: 1) evaluate the levels of PTG in the general population; 2) to identify predictors of each dimension of post-traumatic growth.

Results

The majority of the sample (67%, N = 13,889) did not report any significant improvement in any domain of PTG. Participants reported the highest levels of growth in the dimension of “appreciation of life” (2.3 ± 1.4), while the lowest level was found in the “spiritual change” (1.2 ± 1.2). Female participants reported a slightly higher level of PTG in areas of personal strength (p < .002) and appreciation for life (p < .007) compared to male participants, while no significant association was found with age. At the multivariate regression models, weighted for the propensity score, only the initial week of lockdown (between 9-15 April) had a negative impact on the dimension of “relating to others” (B = −.107, 95% CI = −.181 to −.032, p < .005), while over time no other effects were found. The duration of exposure to lockdown measures did not influence the other dimensions of PTG.

Conclusions

The assessment of the levels of PTG is of great importance for the development of ad hoc supportive psychosocial interventions. From a public health perspective, the identification of protective factors is crucial for developing ad-hoc tailored interventions and for preventing the development of full-blown mental disorders in large scale.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association

Introduction

The COVID-19 pandemic has had a profound negative impact on the mental health of the general population [Reference Twenge and Joiner1Reference Unützer, Kimmel and Snowden3]. The pandemic can be considered as a new type of traumatic stressor, being an unexpected event, affecting the whole population worldwide and causing a severe disruption of daily routine life [Reference Gorwood and Fiorillo4Reference Horesh and Brown6]. Recent research suggests that traumatic stress reactions, including intrusive reexperiencing and heightened arousal, are frequent during the pandemic [Reference Bridgland, Moeck, Green, Swain, Nayda and Matson7] and may be due to its direct threats to important life resources of the general population, such as safety, health, income [Reference Hodgkin, Moscarelli, Rupp and Zuvekas8], work, housing, and social support [Reference Knapp and Wong9,Reference Ren, Zhou and Liu10]. Furthermore, the traumatic stress reactions to the COVID-19 pandemic may be worsened by the indirect exposure to the pandemic, for example, via mass-media coverage and the phenomenon of infodemic [Reference Calleja, AbdAllah, Abad, Ahmed, Albarracin and Altieri11,Reference Crocamo, Viviani, Famiglini, Bartoli, Pasi and Carrà12]; by the psychosocial consequences of the pandemic, in terms of unemployment, isolation [Reference Kato, Kanba and Teo13], nonsudden illness/death [Reference Elbogen, Lanier, Blakey, Wagner and Tsai14Reference Wasserman, van der Gaag and Wise16]; and by the lack of clear and reliable therapeutic guidelines for the management of the COVID-19 infection [Reference Patrucco, Gavelli, Fagoonee, Solidoro, Undas and Pellicano17].

The negative consequences of the pandemic on the mental health may vary in different target populations, such as healthcare professionals, people infected by the COVID-19, people living with disabilities or affected by chronic physical and mental disorders [Reference Li, Yang, Qiu, Wang, Jian and Ji18] or special population, such as pregnant women [Reference Kinser, Jallo, Amstadter, Thacker, Jones and Moyer19Reference Pugliese, Bruni, Carbone, Calabrò, Cerminara and Sampogna24], elderly [Reference Briggs, McDowell, De Looze, Kenny and Ward25,Reference Vannini, Gagliardi, Kuppe, Dossett, Donovan and Gatchel26] or young people [Reference Hoffmann, Pisinger, Rosing and Tolstrup27Reference Squeglia30]. In particular, the psychiatric and psychological consequences of the pandemic on the general population mainly include high levels of distress [Reference Tyrer31,Reference Li, Ge, Yang, Feng, Qiao and Jiang32] and of post-traumatic reactions [Reference Norrholm, Zalta, Zoellner, Powers, Tull and Reist33Reference Morina and Sterr35], social isolation with suicidal ideation [Reference Rooksby, Furuhashi and McLeod36Reference Wasserman, Iosue, Wuestefeld and Carli39], depressive and anxiety symptoms and sleep disorders [Reference Krystal, Prather and Ashbrook40Reference Karatzias, Shevlin, Hyland, Ben-Ezra, Cloitre and Owkzarek44]. A high prevalence of mental exhaustion, burn-out syndrome and insomnia has been found in healthcare workers [Reference Fino, Bonfrate, Fino, Bocus, Russo and Mazzetti45Reference Bryant47]. In disabled people and in those with pre-existing mental health problems, an increased risk of treatment interruption of long-term treatments has been found, associated with relapses or symptoms worsening, as well as with a higher risk of being infected by the COVID-19 [Reference Wang, Xu and Volkow48Reference Coulombe, Pacheco, Cox, Khalil, Doucerain and Auger53]. Specific risk factors identified for the development of these mental health disturbances include female gender, having previous psychiatric or physical disorders, loneliness, time spent on the Internet, and unemployment [Reference Fiorillo, Sampogna, Giallonardo, Del Vecchio, Luciano and Albert54,Reference Mertens, Gerritsen, Duijndam, Salemink and Engelhard55].

Although these different populations are exposed to the same traumatic event (i.e., the pandemic), its perception is highly variable, because it is mediated by individual psychological and social factors, such as coping strategies and resilience styles [Reference Sampogna, Del Vecchio, Giallonardo, Luciano, Albert and Carmassi56Reference Wlodarczyk, Basabe, Páez, Amutio, García and Reyes60].

When facing a traumatic event, some people may also experience positive changes, the so-called posttraumatic growth (PTG) [Reference Tedeschi and Calhoun61,Reference Mitchell, Gallaway, Millikan and Bell62]. The PTG is a substantive, positive change in a person’s self-perceptions, relationships with others, and/or their personal philosophy of life, resulting after a traumatic experience [Reference Taku, Tedeschi, Shakespeare-Finch, Krosch, David and Kehl63,Reference Seery, Holman and Silver64]. PTG consists of five dimensions [Reference Prati and Pietrantoni65]: (a) changes in how people relate with others (i.e., an increased willing to express emotions or even accepting more likely help from others); (b) recognition of new possibilities (i.e., seen as an increased attitude to take new paths in life and redefine priorities); (c) a sense of greater personal strength (i.e., improved sense of self-efficacy, strength, and self-confidence); (d) changes toward spirituality (i.e., religious beliefs, spiritual matters, and existential/philosophical questions); and (e) greater appreciation of life (i.e., considering meaningful and worth in life’s little things).

Some studies [Reference Muldoon, Haslam, Haslam, Cruwys, Kearns and Jetten66Reference Luciano, De Rosa, Del Vecchio, Sampogna and Sbordone70] highlighted how a collective experience of trauma can help people reflecting on their traumatic experiences, as it would be the case for the COVID-19 pandemic [Reference Venuleo, Gelo and Salvatore71]. Understanding the possible positive consequences of the pandemic on the individual level is crucial for the development of preventive and supportive psychosocial interventions for the general population [Reference Ghebreyesus72Reference Kuzman, Curkovic and Wasserman76]. Furthermore, the sociodemographic and clinical factors facilitating the positive adaptation to trauma may be worth to identify.

During the initial phase of the pandemic, Italy has been among the most severely hit countries, with high rates of COVID-related morbidity and mortality, high occupancy rate in intensive care units and extreme burden on the national health systems. Therefore, the Italian government issued severe public health measures, with lockdown and quarantine in order to limit the spread of the disease. The COvid Mental hEalth Trial (COMET) study is a multicentric, collaborative, notfunded trial carried out during the initial phase of the COVID-19 pandemic, targeting the Italian general population during the first wave of the lockdown [Reference Fiorillo, Sampogna, Giallonardo, Del Vecchio, Luciano and Albert54,Reference Giallonardo, Sampogna, Del Vecchio, Luciano, Albert and Carmassi77].

Based on the COMET study, the present paper aims to: (a) evaluate the levels of PTG in a sample of the general population and (b) to identify predictors of each dimension of post-traumatic growth.

Materials and Methods

The present paper is based on data collected in the COMET [Reference Fiorillo, Sampogna, Giallonardo, Del Vecchio, Luciano and Albert54,Reference Giallonardo, Sampogna, Del Vecchio, Luciano, Albert and Carmassi77].

The COMET study has been coordinated by the University of Campania “Luigi Vanvitelli” (Naples), and includes other Italian university sites (Università Politecnica delle Marche [Ancona], University of Ferrara, University of Milan Bicocca, University of Milan “Statale,” University of Perugia, University of Pisa, Sapienza University of Rome, “Catholic” University of Rome, and University of Trieste) with the Center for Behavioral Sciences and Mental Health of the National Institute of Health in Rome. The COMET trial has been designed as cross-sectional study, adopting a snowball sampling procedure [Reference Giallonardo, Sampogna, Del Vecchio, Luciano, Albert and Carmassi77].

The main outcome measure considered in the present study is represented by the levels of Post Traumatic Growth, which have been evaluated by using the short form of the Post-Traumatic Growth Inventory (PTGI) [Reference Cann, Calhoun, Tedeschi, Taku, Vishnevsky and Triplett78]. The PTGI consists of 10 items, rated on a 6-point Likert scale (i.e., 0 = “I did not experience this change as a result of my crisis”; 5 = “I experienced this change to a very great degree as a result of my crisis”). Items are grouped in following five dimensions: (a) relating to others; (b) new possibilities; (c) personal strengths; (d) spiritual change; and (e) appreciation of life. It is calculated a total score, so that higher scores indicate higher levels of post-traumatic growth. Responses on the items were averaged to form the scale score, and the attainment of substantial PTG was indicated by an average score of 4 [Reference Ng79].

The survey includes also the following validated self-reported questionnaires: DASS-21 [Reference Lovibond and Lovibond80]; General Health Questionnaire—12 items version (GHQ) [Reference Goldberg, Gater, Sartorius, Ustun, Piccinelli and Gureje81]; Obsessive–Compulsive Inventory—Revised version (OCI-R) [Reference Foa, Huppert, Leiberg, Langner, Kichic, Hajcak and Salkovskis82]; Insomnia Severity Index (ISI) [Reference Morin, Belleville, Bélanger and Ivers83]; Suicidal Ideation Attributes Scale (SIDAS) [Reference van Spijker, Batterham, Calear, Farrer, Christensen and Reynolds84]; Severity of Acute Stress Symptoms Adult Scale (SASS) [Reference Kilpatrick, Resnick and Friedman85]; the Impact of Event Scale—short version (IES) [Reference Thoresen, Tambs, Hussain, Heir, Johansen and Bisson86]; the UCLA loneliness scale—short version [Reference Hays and Di Matteo87]; the Brief-COPE [Reference Carver88]; the Connor–Resilience Scale [Reference Connor and Davidson89]; and the Multidimensional Scale of Perceived Social Support (MSPPS) [Reference Zimet, Dahlem, Zimet and Farley90]. Moreover, sociodemographic information (i.e., gender, age, civil status, level of education, number of cohabitations, geographical region, living in one of the most severely impacted area, working condition, and housing condition) have been collected through an ad hoc schedule.

This study is being conducted in accordance with globally accepted standards of good practice, in agreement with the Declaration of Helsinki and with local regulations.

Written informed consents have been collected from participants in order to take part to the online survey. The present study protocol has been reviewed and approved by the Ethical Review Board of the University of Campania “L. Vanvitelli” (Protocol number:0007593/i).

Statistical analysis

Sociodemographic and clinical characteristics of the global sample have been analyzed using descriptive statistics and frequency tables, as appropriate. Differences in levels of PTG according to the different target groups (i.e., general population, healthcare workers, patients with pre-existing mental disorders, and people infected by COVID-19) were evaluated using chi-square with multiple comparisons and ANOVA with Bonferroni corrections.

In order to assess the impact of the duration of lockdown on the different dimensions of post-traumatic growth (i.e., personal strength, relating to others, new possibilities, spiritual life, and appreciation for life) multivariate linear regression models were implemented. This statistical approach has been already adopted in previous published papers based on the COMET study [Reference Fiorillo, Sampogna, Giallonardo, Del Vecchio, Luciano and Albert54] and the categorical variable “Week” was entered in the regression models. Several sociodemographic characteristics, including gender, age, working status, having a physical comorbid condition, having a pre-existing mental disorder, civil status, level of education, satisfaction with one’s own life, and with housing conditions, adaptive and maladaptive coping strategies, having been infected by COVID-19 were entered in the models and adjusted for them.

Multiple imputation approach has been used for managing missing data. The level of statistical significance was set at p < 0.05 and statistical analyses were performed using the Statistical Package for Social Sciences (SPSS), version 26.0, and STATA, version 15.

Results

The final sample consists of 20,720 participants, mainly female (71%, N = 14,720) and with a mean age of 40.4 ± 14.3 years (Table 1), half of the respondents were in a stable relationship and were living with a partner.

Table 1. Sociodemographic characteristics of the global sample (n = 20,720).

The majority of the sample (67%, N = 13,889) did not report any significant improvement in any domain of PTG (Figure 1). Only 4% of participants (N = 824) reported a substantial PTG (i.e., >4.0) by the overall scale score. Considering the specific dimensions of PTG, 18% (N = 3,739) of respondents achieved a significant post-traumatic growth in the dimensions of appreciation for life and personal strength, while only 4.8% (N = 1,003) of participants reported a change in spiritual life.

Figure 1. Percentage of participants with growth in at least one domain of PTG.

Participants reported the highest levels of growth in the dimension of “appreciation of life” (2.3 ± 1.4), while the lowest level was found in the “spiritual change” (1.2 ± 1.2).

Female participants reported a slightly higher level of PTG in the dimensions of personal strength (p < 0.002) and appreciation for life (p < 0.007) compared to male participants, while no significant association was found with age (Table 2). No significant differences in the levels of PTG were found among healthcare professionals, people infected by COVID-19 and patients with pre-existing mental disorders, compared to the general population (Table 3).

Table 2. Gender differences in levels of PTG.

Abbreviations: M, mean; NS, not significant; PTGI, post-traumatic growth inventory; SD, standard deviation; p = p value.

Table 3. Differences in the levels of PTG.

Abbreviations: M, mean; NS, not significant; p, p value; PTGI, post-traumatic growth inventory; SD, standard deviation.

At the multivariate regression models, weighted for the propensity score, only the initial week of lockdown (between April 9 and April 15) had a negative impact on the dimension of “relating to others” of the PTG (B = −0.107, 95% CI = −0.181 to −0.032, p < 0.005), while over time no other effects were found. However, the duration of exposure to lockdown measures did not influence the other dimensions of PTG (Table 4).

Table 4. Predictors of levels of post-traumatic growth.

Abbreviations: B = beta coefficient; Model statistics: R 2 = R 2 adjusted. Sig = significance.

Factors significantly associated with the increase in the levels of PTG include the levels of resilience, with a B coefficient ranging from .025 (95% CI = 0.023 to 0.027) for “relating to others” (p < 0.000) to B = 0.047 (95%CI = 0.045 to 0.049) for “personal strength” (p < 0.000), the perceived support from family members and friends and the level of education. Furthermore, adaptive coping strategies, such as emotional support (B = 0.140, 95% CI = 0.108 to 0.172, dimension “relating to others”; B = 0.055, 95% CI = 0.028 to 0.083, dimension “new possibilities”; B = 0.071, 95% CI = 0.038 to 0.104; B = 0.048, 95% CI = 0.013 to 0.082, dimension “appreciation for life”), reframing (0.208, 95% CI = 0.182 to 0.233) and practical support (B = 0.186, 95% CI = 0.153 to 0.218) were significant predictors of several dimensions of PTG, including relating to others, new possibilities and appreciation for life. On the other hand, maladaptive coping strategies, including self-blame (B = −0.047, 95% CI = −0.073 to −0.022) and venting (B = −0.043, 95% CI = −0.070 to −0.016) were associated with a reduction of many dimensions of post-traumatic growth.

Living in one of the most severely hit areas of the pandemic was a negative predictor only for the “New possibilities” (B = −0.032, 95% CI = −0.064 to −0.001), but not for the other dimensions of PTG. Having a pre-existing mental or physical disorder, having being infected by COVID-19, being a healthcare worker did not have any impact on the several dimensions of post-traumatic growth.

Finally, in the different age groups, the probability of having higher levels of post-traumatic growth was found in people aged 55–64 years old, both for the dimension of relating to others (B = 0.118, 95% CI = 0.033 to 0.204) as well as for the dimension of personal strength (B = 0.122, 95% CI = 0.033 to 0.211).

Discussion

This study was conducted to investigate the levels of post-traumatic growth during the first wave of COVID-19 related lockdown in the general population. During the initial phase of the national emergency for the pandemic, Italy was one of the most severely hit areas in Europe, and strict containment measures were issued by the Italian government in order to limit the spread of the virus and its morbidity and mortality rate, since no vaccinations were available [Reference Eichenberg, Grossfurthner, Kietaibl, Riboli, Borlimi and Holocher-Benetka91]. This survey was promoted and disseminated in the Italian general population during the weeks of the first lockdown, a period of uncertainty, fears for the future and exceptional changes in the daily routine. All these sociocultural factors have contributed to feature the pandemic as a new type of traumatic stressor, which could have an impact on the mental health of the general population. Although several papers have reported increasing levels of anxiety, depressive and stress symptoms in the Italian general population [Reference Fiorillo, Sampogna, Giallonardo, Del Vecchio, Luciano and Albert54], as well as the presence of sleep disorders and of suicidal ideation, a few data are available on the possible positive consequences of the pandemic on the general population. Some studies have found that growth and distress are at opposite ends of the same continuum, from which a negative association was found [Reference Winefield, Gill, Taylor and Pilkington92]. Alternatively, growth has been thought to positively coexist with distress, with some authors stating that “the higher the distress, the better the growth” [Reference Dekel, Mandl and Solomon93]. In the present study, we found that respondents did not report high levels of post-traumatic growth, with only 15% reporting a significant growth at least in one dimension. This data is in line with those found in Hong-Kong, where post-traumatic growth was found in less than 20% of the general population [Reference Lau, Chan and Ng94,Reference Kwok, Li, Chan, Yi, Tang and Wei95]. Other studies carried out in China reported levels of post-traumatic growth of up to 50% in at least one domain of PTG. These differences could be due to the divergence in social contexts among countries, in terms of social cohesion, acceptance and satisfaction with the governmental measures for containing the pandemic and the perception of collective identity [Reference Zmerli and Newton96,Reference Voci97]. Therefore, it is of extreme interest to understand the possible impact of these necessary and unavoidable containment measures on the mental health of the general population, in order to develop appropriate supportive and preventive interventions to mitigate the long-term negative effects of the pandemic on mental health.

Regarding the several PTG dimensions, we found that scores of “appreciation of life” were the greatest, while “spiritual change” was the lowest. These results are in line with those reported by Prati and Pietrantoni [Reference Prati and Pietrantoni98], confirming that our findings can be considered representative of the Italian general population.

Another interesting finding is that higher levels of post-traumatic growth during the initial phase of the pandemic were found in female participants. Previous studies carried out during other natural emergencies have found a gender difference in the levels of post-traumatic growth [Reference Zwahlen, Hagenbuch, Carley, Jenewein and Buchi99]. Although little research has examined the underlying processes for such gender differences in PTG, the role of some cognitive styles, such as rumination, has been proposed [Reference Zwahlen, Hagenbuch, Carley, Jenewein and Buchi99,Reference Petzold, Bendau, Plag, Pyrkosch, Mascarell Maricic and Betzler100]. In particular, the tendency to ruminate on constructive issues, such as an increased awareness of personal strengths or an appreciation of the importance of social connections, has been suggested as the mechanism leading to the greater reports of PTG [Reference Kim and Bae101]. In different groups of traumatized people, such as bereaved parents or women at a high risk for breast cancer, the use of reflective rumination was associated with high levels of post traumatic growth [Reference Vishnevsky, Cann, Calhoun, Tedeschi and Demakis102Reference Antoni, Lehman, Klibourn, Boyers, Culver and Alferi104].

Another potential mediator while processing traumatic events is the type of coping strategies adopted. In fact, we found that using adaptive coping strategies, such as planning, practical support and reframing, predicted higher levels of post-traumatic growth. This finding is in line with previous COVID-related data [Reference Fiorillo, Sampogna, Giallonardo, Del Vecchio, Luciano and Albert54,Reference Kar, Kar and Kar105] but also with other studies carried out on factors moderating the impact of traumatic events [Reference Kim and Bae101,Reference Sattler, Bloyd and Kirsch106,Reference Teasdale, Yardley, Schlotz and Michie107]. PTG may be conceptualized as a cognitive adaptive process among those who experience traumatic stress in response to a disaster, in terms of a positive reinterpretation and positive reframing of the negative experience. However, the use of adaptive coping strategies can sustain and booster this process and it is therefore essential to promote the dissemination of psychosocial interventions aiming to teach and improve adaptive coping strategies in the general population.

Contrary to what we expected, we did not find a significant effect of the weeks of lockdown on the levels of post-traumatic growth, except for the dimension of “searching new possibilities.” This finding is particularly striking if we consider that the levels of stress and of psychiatric symptoms tended to increase over time [Reference Fiorillo, Sampogna, Giallonardo, Del Vecchio, Luciano and Albert54]; it may be that PTG is not related to the duration of the traumatic event, but it is related to the nature of the trauma and to the personality traits and characteristics of the individual [Reference Ellena, Aresi, Marta and Pozzi108]. Of course, this interpretation deserves more studies. Furthermore, patients with pre-existing severe mental disorders did not show significantly lower levels of PTG, compared to the general population. This was an unexpected finding, which should be due to the ability, skills and personal resources of patients to adapt to the “new” life routine posed by the pandemic. Moreover, a possible time-lead effect should explain this finding, being the levels of PTG quite high at the initial phase of the pandemic, and it should be reduced over the following months.

The present study has some limitations, which are hereby acknowledged. First, the online snowball sampling methodology may have led to a selection bias, with only those interested in the psychological consequences of the pandemic willing to participate [Reference Baltar and Brunet109]. Second, the cross-sectional design of the survey prevents us to delineate any causal relationship between the selected variables. Finally, several variables, such as social cohesion, national identity and interpersonal trust, personality traits and cognitive styles should have had an impact on the levels of post-traumatic growth [Reference Ellena, Aresi, Marta and Pozzi108,Reference Wong and Yeung110].

Conclusions

The assessment of the levels of post-traumatic growth in the general population during the initial phase of the national health emergency is of great importance for the development of ad hoc supportive and preventive psychosocial interventions [Reference Kaufman, Petkova, Bhui and Schulze111Reference Reynolds114]. It has been repeatedly stated that the pandemic will have longstanding, and far-reaching, consequences on global mental health and wellbeing to the whole population, regardless of age and gender [Reference Sinha, Collins and Herrman115Reference Jorm, Kitchener and Reavley118]. From a public health perspective, the identification of protective factors is crucial for developing ad hoc tailored interventions and for preventing the development of full-blown mental disorders in large scale [Reference Kahn, Cohen, Tubiana, Legrand, Wasserman and Carli119Reference Barry, Clarke and Petersen122]. From a clinical practice perspective, the promotion of supportive interventions aiming to improve the levels of resilience, the adaptive coping strategies and the levels of post-traumatic growth should be prioritized in order to mitigate the detrimental effects of the pandemic.

Data Availability Statement

The dataset is not available for sharing.

Author Contributions

Conceptualization: G.M., G.S.; Formal analysis: G.S.; Investigation: A.T.; Methodology: A.T.; Supervision: G.C., M.P.; Writing—original draft: G.M., A.T.; Writing—review and editing: U.A., V.B., C.C., G.C., F.C., B.D.O., M.F., F.P., M.P., M.G.N., U.V., G.Sa., A.T.

Financial Support

This research received no external funding.

Conflict of Interest

The authors declare none.

References

Twenge, JM, Joiner, TE. Mental distress among U.S. adults during the COVID-19 pandemic. J Clin Psychol. 2020;76:2170–82.CrossRefGoogle ScholarPubMed
Fiorillo, A, Gorwood, P. The consequences of the COVID-19 pandemic on mental health and implications for clinical practice. Eur Psychiatry. 2020;63:e32.CrossRefGoogle ScholarPubMed
Unützer, J, Kimmel, RJ, Snowden, M. Psychiatry in the age of COVID-19. World Psychiatry. 2020;19:130–31.CrossRefGoogle ScholarPubMed
Gorwood, P, Fiorillo, A. One year after the COVID-19: What have we learnt, what shall we do next?. Eur Psychiatry. 2021;64:e15.CrossRefGoogle ScholarPubMed
Marazziti, D, Stahl, SM. The relevance of COVID-19 pandemic to psychiatry. World Psychiatry. 2020;19:261.CrossRefGoogle ScholarPubMed
Horesh, D, Brown, AD. Traumatic stress in the age of COVID-19: a call to close critical gaps and adapt to new realities. Psychol Trauma. 2020;12(4):331–5.CrossRefGoogle Scholar
Bridgland, VME, Moeck, EK, Green, DM, Swain, TL, Nayda, DM, Matson, LA, et al. Why the COVID-19 pandemic is a traumatic stressor. PLoS One. 2021;16(1):e0240146.CrossRefGoogle ScholarPubMed
Hodgkin, D, Moscarelli, M, Rupp, A, Zuvekas, SH. Mental health economics: bridging research, practice and policy. World Psychiatry. 2020;19(2):258–9.CrossRefGoogle ScholarPubMed
Knapp, M, Wong, G. Economics and mental health: the current scenario. World Psychiatry. 2020;19(1):314.CrossRefGoogle ScholarPubMed
Ren, Z, Zhou, Y, Liu, Y. The psychological burden experienced by Chinese citizens during the COVID-19 outbreak: prevalence and determinants. BMC Public Health. 2020;20(1):1617.CrossRefGoogle ScholarPubMed
Calleja, N, AbdAllah, A, Abad, N, Ahmed, N, Albarracin, D, Altieri, E, et al. A public health research agenda for managing infodemics: methods and results of the first WHO infodemiology conference. JMIR Infodemiology. 2021;1(1):e30979.CrossRefGoogle ScholarPubMed
Crocamo, C, Viviani, M, Famiglini, L, Bartoli, F, Pasi, G, Carrà, G. Surveilling COVID-19 emotional contagion on twitter by sentiment analysis. Eur Psychiatry. 2021;64:e17.CrossRefGoogle ScholarPubMed
Kato, TA, Kanba, S, Teo, AR. Defining pathological social withdrawal: proposed diagnostic criteria for hikikomori. World Psychiatry. 2020;19(1):116–17. doi:10.1002/wps.20705.CrossRefGoogle ScholarPubMed
Elbogen, EB, Lanier, M, Blakey, SM, Wagner, HR, Tsai, J. Suicidal ideation and thoughts of self-harm during the COVID-19 pandemic: the role of COVID-19-related stress, social isolation, and financial strain. Depress Anxiety. 2021;38:739–48. doi:10.1002/da.23162.CrossRefGoogle Scholar
Green, MF, Lee, J, Wynn, JK. Experimental approaches to social disconnection in the general community: can we learn from schizophrenia research? World Psychiatry. 2020;19:177–8.CrossRefGoogle ScholarPubMed
Wasserman, D, van der Gaag, R, Wise, J. The term “physical distancing” is recommended rather than “social distancing” during the COVID-19 pandemic for reducing feelings of rejection among people with mental health problems. Eur Psychiatry. 2020;63(1):e52.CrossRefGoogle ScholarPubMed
Patrucco, F, Gavelli, F, Fagoonee, S, Solidoro, P, Undas, A, Pellicano, R. Current treatment challenges in the COVID-19 pandemic. Pol Arch Intern Med. 2021;131(9):854–61. doi:10.20452/pamw.16077.CrossRefGoogle ScholarPubMed
Li, J, Yang, Z, Qiu, H, Wang, Y, Jian, L, Ji, J, et al. Anxiety and depression among general population in China at the peak of the COVID-19 epidemic. World Psychiatry. 2020;19:249–50.CrossRefGoogle ScholarPubMed
Kinser, PA, Jallo, N, Amstadter, AB, Thacker, LR, Jones, E, Moyer, S, et al. Depression anxiety, resilience, and coping: the experience of pregnant and new mothers during the first few months of the COVID-19 pandemic. J Womens Health. 2021;30:654–64.CrossRefGoogle ScholarPubMed
Brown, S. Perinatal mental health and the COVID-19 pandemic. World Psychiatry. 2020;19:333–4.CrossRefGoogle ScholarPubMed
Glover, V. Prenatal mental health and the effects of stress on the foetus and the child. Should psychiatrists look beyond mental disorders? World Psychiatry. 2020;19:331–2.CrossRefGoogle ScholarPubMed
Alderdice, F. Supporting psychological well-being around the time of birth: What can we learn from maternity care? World Psychiatry. 2020;19(3):332–3. doi:10.1002/wps.20778.CrossRefGoogle ScholarPubMed
Chandra, PS, Nanjundaswamy, MH. Pregnancy specific anxiety: an under-recognized problem. World Psychiatry. 2020;19:336–7.CrossRefGoogle Scholar
Pugliese, V, Bruni, A, Carbone, EA, Calabrò, G, Cerminara, G, Sampogna, G, et al. Maternal stress, prenatal medical illnesses and obstetric complications: risk factors for schizophrenia spectrum disorder, bipolar disorder and major depressive disorder. Psychiatry Res. 2019;271:2330.CrossRefGoogle ScholarPubMed
Briggs, R, McDowell, CP, De Looze, C, Kenny, RA, Ward, M. Depressive symptoms among older adults pre- and post-COVID-19 pandemic. J Am Med Dir Assoc. 2021;22:2251–7.CrossRefGoogle ScholarPubMed
Vannini, P, Gagliardi, GP, Kuppe, M, Dossett, ML, Donovan, NJ, Gatchel, JR, et al. Stress, resilience, and coping strategies in a sample of community-dwelling older adults during COVID-19. J Psychiatr Res. 2021;138:176–85.CrossRefGoogle Scholar
Hoffmann, SH, Pisinger, VSC, Rosing, JA, Tolstrup, JS. Symptoms of distress among young Danes during the national lockdown in May 2020. Eur Child Adolesc Psychiatry. 2021;20:110.Google Scholar
Zainel, AA, Qotba, H, Al-Maadeed, A, Al-Kohji, S Al Mujalli, H, Ali, A, et al. Psychological and coping strategies related to home isolation and social distancing in children and adolescents during the COVID-19 pandemic: cross-sectional study. JMIR Form Res. 2021;5:e24760.CrossRefGoogle ScholarPubMed
Duarte, CS, Monk, C, Weissman, MM, Posner, J. Intergenerational psychiatry: a new look at a powerful perspective. World Psychiatry. 2020;19(2):175–6.CrossRefGoogle Scholar
Squeglia, LM. Alcohol and the developing adolescent brain. World Psychiatry. 2020;19:393–4.CrossRefGoogle ScholarPubMed
Tyrer, P. COVID-19 health anxiety. World Psychiatry. 2020;19:307–8.CrossRefGoogle ScholarPubMed
Li, Z, Ge, J, Yang, M, Feng, J, Qiao, M, Jiang, R, et al. Vicarious traumatization in the general public, members, and non-members of medical teams aiding in COVID-19 control. Brain Behav Immun. 2020;88:916–9.CrossRefGoogle ScholarPubMed
Norrholm, SD, Zalta, A, Zoellner, L, Powers, A, Tull, MT, Reist, C, et al. Does COVID-19 count? Defining criterion a trauma for diagnosing PTSD during a global crisis. Depress Anxiety. 2021;38(9):882–5.CrossRefGoogle ScholarPubMed
McElroy, E, Shevlin, M, Murphy, S, Roberts, B, Makhashvili, N, Javakhishvili, J, et al. ICD-11 PTSD and complex PTSD: structural validation using network analysis. World Psychiatry. 2019;18:236–7.CrossRefGoogle ScholarPubMed
Morina, N, Sterr, TN. Lack of evidence for the efficacy of psychotherapies for PTSD and depression in child and adolescent refugees. World Psychiatry. 2019;18:107–8.CrossRefGoogle ScholarPubMed
Rooksby, M, Furuhashi, T, McLeod, HJ. Hikikomori: a hidden mental health need following the COVID-19 pandemic. World Psychiatry. 2020;19:399400.CrossRefGoogle ScholarPubMed
Pompili, M, Innamorati, M, Sampogna, G, Albert, U, Carmassi, C, Carrà, G, et al. The impact of Covid-19 on unemployment across Italy: consequences for those affected by psychiatric conditions. J Affect Disord. 2021;296:5966.CrossRefGoogle ScholarPubMed
McIntyre, RS, Lee, Y. Preventing suicide in the context of the COVID-19 pandemic. World Psychiatry. 2020;19:250–1.CrossRefGoogle ScholarPubMed
Wasserman, D, Iosue, M, Wuestefeld, A, Carli, V. Adaptation of evidence-based suicide prevention strategies during and after the COVID-19 pandemic. World Psychiatry. 2020;19:294306.CrossRefGoogle ScholarPubMed
Krystal, AD, Prather, AA, Ashbrook, LH. The assessment and management of insomnia: an update. World Psychiatry. 2019;18:337–52.CrossRefGoogle ScholarPubMed
Qiu, D, Li, Y, Li, L, He, J, Ouyang, F, Xiao, S. Prevalence of post-traumatic stress symptoms among people influenced by coronavirus disease 2019 outbreak: a meta-analysis. Eur. Psychiatry. 2021;64:e30.CrossRefGoogle ScholarPubMed
McCracken, LM, Badinlou, F Buhrman, M, Brocki, KC. Psychological impact of COVID-19 in the Swedish population: depression, anxiety, and insomnia and their associations to risk and vulnerability factors. Eur Psychiatry. 2020;63:e81.CrossRefGoogle ScholarPubMed
Janiri, D, Carfì, A, Kotzalidis, GD, Bernabei, R, Landi, F, Sani, G, et al. Posttraumatic stress disorder in patients after severe COVID-19 infection. JAMA Psychiatry. 2021;78:567–9.CrossRefGoogle ScholarPubMed
Karatzias, T, Shevlin, M, Hyland, P, Ben-Ezra, M, Cloitre, M, Owkzarek, M, et al. The network structure of ICD-11 complex post-traumatic stress disorder across different traumatic life events. World Psychiatry. 2020;19:400–1.CrossRefGoogle Scholar
Fino, E, Bonfrate, I, Fino, V, Bocus, P, Russo, PM, Mazzetti, M. Harnessing distress to boost growth in frontline healthcare workers during COVID-19 pandemic: the protective role of resilience, emotion regulation and social support. Psychol Med. 2021;13.CrossRefGoogle ScholarPubMed
Al-Humadi, S, Bronson, B, Muhlrad, S, Paulus, M, Hong, H, Cáceda, R. Depression, suicidal thoughts, and burnout among physicians during the COVID-19 pandemic: a survey-based cross-sectional study. Acad Psychiatry. 2021;14:19.Google Scholar
Bryant, RA. Post-traumatic stress disorder: a state-of-the-art review of evidence and challenges. World Psychiatry. 2019;18:259–69.CrossRefGoogle ScholarPubMed
Wang, Q, Xu, R, Volkow, ND. Increased risk of COVID-19 infection and mortality in people with mental disorders: analysis from electronic health records in the United States. World Psychiatry. 2021;20:124–30.CrossRefGoogle ScholarPubMed
De Hert, M, Mazereel, V, Detraux, J, Van Assche, K. Prioritizing COVID-19 vaccination for people with severe mental illness. World Psychiatry. 2021;20:54–5.CrossRefGoogle ScholarPubMed
Alonzi, S, La Torre, A, Silverstein, MW. The psychological impact of preexisting mental and physical health conditions during the COVID-19 pandemic. Psychol Trauma. 2020;12:S236–8.CrossRefGoogle ScholarPubMed
Chatterjee, SS, Barikar, CM, Mukherjee, A. Impact of COVID-19 pandemic on pre-existing mental health problems. Asian J Psychiatr. 2020;51:102071.CrossRefGoogle ScholarPubMed
Storch, EA, Sheu, JC, Guzick, AG, Schneider, SC, Cepeda, SL, Rombado, BR, et al. Impact of the COVID-19 pandemic on exposure and response prevention outcomes in adults and youth with obsessive-compulsive disorder. Psychiatry Res. 2021;295:113597.CrossRefGoogle ScholarPubMed
Coulombe, S, Pacheco, T, Cox, E, Khalil, C, Doucerain, MM, Auger, E., et al. Risk and resilience factors during the COVID-19 pandemic: a snapshot of the experiences of canadian workers early on in the crisis. Front Psychol. 2020;11:580702.CrossRefGoogle ScholarPubMed
Fiorillo, A, Sampogna, G, Giallonardo, V, Del Vecchio, V, Luciano, M, Albert, U, et al. Effects of the lockdown on the mental health of the general population during the COVID-19 pandemic in Italy: Results from the COMET collaborative network. Eur Psychiatry. 2020;63:e87.CrossRefGoogle ScholarPubMed
Mertens, G, Gerritsen, L, Duijndam, S, Salemink, E, Engelhard, I. Fear of the coronavirus (COVID-19): predictors in an online study conducted in March 2020. J Anxiety Disord.. 2020;10:102258.CrossRefGoogle Scholar
Sampogna, G, Del Vecchio, V, Giallonardo, V, Luciano, M, Albert, U, Carmassi, C, et al. What Is the role of resilience and coping strategies on the mental health of the general population during the COVID-19 pandemic? Results from the Italian multicentric COMET study. Brain Sci. 2021;11(9):1231.CrossRefGoogle ScholarPubMed
Feldman, R. What is resilience: an affiliative neuroscience approach. World Psychiatry. 2020;19:132–50.CrossRefGoogle ScholarPubMed
Park, CL, Finkelstein-Fox, L, Russell, BS, Fendrich, M, Hutchison, M, Becker, J. Psychological resilience early in the COVID-19 pandemic: stressors, resources, and coping strategies in a national sample of Americans. Am Psychol. 2021:76:715–28. doi:10.1037/amp0000813.CrossRefGoogle Scholar
Lazarus, RS, Folkman, S. Stress, appraisal, and coping. New York: Springer; 1984.Google Scholar
Wlodarczyk, A, Basabe, N, Páez, D, Amutio, A, García, FE, Reyes, C, et al. Positive effects of communal coping in the aftermath of a collective trauma: the case of the 2010 Chilean earthquake. Eur J Educ Psychol. 2016;9:919.CrossRefGoogle Scholar
Tedeschi, RG, Calhoun, LG. Trauma & transformation: growing in the aftermath of suffering. Thousand Oaks, CA: Sage; 1995. doi:10.4135/9781483326931.CrossRefGoogle Scholar
Mitchell, MM, Gallaway, MS, Millikan, AM, Bell, MR. Combat exposure, unit cohesion, and demographic characteristics of soldiers reporting posttraumatic growth. J Loss Trauma. 2013;18:383–95.CrossRefGoogle Scholar
Taku, K, Tedeschi, RG, Shakespeare-Finch, J, Krosch, D, David, G, Kehl, D, et al. Posttraumatic growth (PTG) and posttraumatic depreciation (PTD) across ten countries: global validation of the PTG-PTD theoretical model. Pers Indiv Differ. 2021;169:110222. doi:10.1016/j.paid.2020.110222.CrossRefGoogle Scholar
Seery, MD, Holman, EA, Silver, RC. Whatever does not kill us: cumulative lifetime adversity, vulnerability, and resilience. J Pers Soc Psychol. 2010;99:1025–41.CrossRefGoogle Scholar
Prati, G, Pietrantoni, L. Optimism, social support, and coping strategies as factors contributing to posttraumatic growth: a meta-analysis. J Loss Trauma. 2009;14(5):364–88. doi:10.1080/15325020902724271.CrossRefGoogle Scholar
Muldoon, OT, Haslam, SA, Haslam, C, Cruwys, T, Kearns, M, Jetten, J. The social psychology of responses to trauma: social identity pathways associated with divergent traumatic responses. Eur RevSoc Psychology. 2019;30(1):311–48. doi:10.1080/10463283.2020.1711628.CrossRefGoogle Scholar
Carmassi, C, Bertelloni, CA, Gesi, C, Conversano, C, Stratta, P, Massimetti, G, et al. New DSM-5 PTSD guilt and shame symptoms among Italian earthquake survivors: impact on maladaptive behaviors. Psychiatry Res. 2017;251:142–7.CrossRefGoogle ScholarPubMed
Lowe, SR Manove, EE, Rhodes, JE.. Posttraumatic stress and posttraumatic growth among low-income mothers who survived Hurricane Katrina. J Consult Clin Psychol. 2013;81:877–89.CrossRefGoogle ScholarPubMed
Khalid, I, Khalid, TJ, Qabajah, MR, Barnard, AG, Qushmaq, IA. Healthcare workers emotions, perceived stressors and coping strategies during a MERS-CoV outbreak. Clin Med Res. 2016;14:714.CrossRefGoogle ScholarPubMed
Luciano, M, De Rosa, C, Del Vecchio, V, Sampogna, G, Sbordone, D, et al. Perceived insecurity, mental health and urbanization: results from a multicentric study. Int J Soc Psychiatry. 2016;62:252–61.CrossRefGoogle ScholarPubMed
Venuleo, C, Gelo, C, Salvatore, S. Fear, affective semiosis, and management of the pandemic crisis: COVID-19 as semiotic vaccine. Clin Neuropsych. 2020;17:117–30. doi:10.36131/CN20200218.Google ScholarPubMed
Ghebreyesus, TA. Addressing mental health needs: an integral part of COVID-19 response. World Psychiatry. 2020;19:129–30.CrossRefGoogle Scholar
Stewart, DE, Appelbaum, PS. COVID-19 and psychiatrists’ responsibilities: a WPA position paper. World Psychiatry. 2020;19:406–7.CrossRefGoogle ScholarPubMed
Ormel, J, Cuijpers, P, Jorm, AF, Schoevers, R. Prevention of depression will only succeed when it is structurally embedded and targets big determinants. World Psychiatry. 2019;18:111–2.CrossRefGoogle ScholarPubMed
Roepke, AM. Psychosocial interventions and posttraumatic growth: a metaanalysis. J Consult Clin Psychol. 2015;83:129–42.CrossRefGoogle Scholar
Kuzman, MR, Curkovic, M, Wasserman, D. Principles of mental health care during the COVID-19 pandemic. Eur Psychiatry. 2020;63(1):e45.CrossRefGoogle ScholarPubMed
Giallonardo, V, Sampogna, G, Del Vecchio, V, Luciano, M, Albert, U, Carmassi, C, et al. The impact of quarantine and physical distancing following COVID-19 on mental health: study protocol of a multicentric Italian population trial. Front Psychiatr. 2020;11:533.CrossRefGoogle ScholarPubMed
Cann, A, Calhoun, LG, Tedeschi, RG, Taku, K, Vishnevsky, T, Triplett, KN, et al. A short form of the post-traumatic growth inventory. Anxiety Stress Coping. 2010;23:127–37.CrossRefGoogle Scholar
Ng, SM. Mental health of adults in Hong Kong and mainland China. In: Virtual forum on social distance, social responses: solutions and strategies for coping with COVID-19. Hong Kong: The University of Hong Kong; 2020.Google Scholar
Lovibond, SH, Lovibond, PF. Manual for the depression anxiety & stress scales. 2nd ed. Sydney: Psychology Foundation; 1995.Google Scholar
Goldberg, DP, Gater, R, Sartorius, N, Ustun, TB, Piccinelli, M, Gureje, O, et al. The validity of two versions of the GHQ in the WHO study of mental illness in general health care. Psychol Med. 1997;27:191–7.CrossRefGoogle ScholarPubMed
Foa, EB, Huppert, JD, Leiberg, S, Langner, R, Kichic, R, Hajcak, G, Salkovskis, PM. The obsessive-compulsive inventory: development and validation of a short version. Psychol Assess. 2002;14:485–96.CrossRefGoogle ScholarPubMed
Morin, CM, Belleville, G, Bélanger, L, Ivers, H. The insomnia severity index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011;34:601–8.CrossRefGoogle ScholarPubMed
van Spijker, BA, Batterham, PJ, Calear, AL, Farrer, L, Christensen, H, Reynolds, J, et al. The suicidal ideation attributes scale (SIDAS): community-based validation study of a new scale for the measurement of suicidal ideation. Suicide Life Threat Behav. 2014;44:408–19.CrossRefGoogle ScholarPubMed
Kilpatrick, DG, Resnick, HS, Friedman, MJ. Severity of acute stress symptoms—adult (National Stressful Events Survey Acute Stress Disorder Short Scale [NSESSS]). Washington: American Psychiatric Association; 2013.Google Scholar
Thoresen, S, Tambs, K, Hussain, A, Heir, T, Johansen, VA, Bisson, JI. Brief measure of posttraumatic stress reactions: impact of event scale-6. Soc Psychiatry Psychiatr Epidemiol. 2010;45:405–12.CrossRefGoogle ScholarPubMed
Hays, RD, Di Matteo, MR. A short-form measure of loneliness. J Personal Assess. 1987;51:6981.CrossRefGoogle ScholarPubMed
Carver, CS. You want to measure coping but your protocol’ too long: consider the brief cope. Int J Behav Med. 1997;4:92100.CrossRefGoogle Scholar
Connor, KM, Davidson, JRT. Development of a new resilience scale: the Connor-Davidson resilience scale (CD-RISC). Depress Anxiety. 2003;18:7182.CrossRefGoogle Scholar
Zimet, GD, Dahlem, NW, Zimet, SG, Farley, GK. The multidimensional scale of perceived social support. J Personal Assess. 1988;1:3041.CrossRefGoogle Scholar
Eichenberg, C, Grossfurthner, M, Kietaibl, S, Riboli, G, Borlimi, R, Holocher-Benetka, S. Emotional distress in the early stages of the COVID-19 related lockdowns depending on the severity of the pandemic and emergency measures: a comparative online-survey in Germany, Austria and Italy. BMC Psychiatry. 2021;21(1):509.CrossRefGoogle ScholarPubMed
Winefield, HR, Gill, TK, Taylor, AW, Pilkington, RM. Psychological well-being and psychological distress: is it necessary to measure both?. Psych Well-Being. 2012;2:3. doi:10.1186/2211-1522-2-3.CrossRefGoogle Scholar
Dekel, S, Mandl, C, Solomon, Z. Shared and unique predictors of post-traumatic growth and distress. J Clin Psychol. 2011;67:241–52. doi:10.1002/jclp.20747.CrossRefGoogle ScholarPubMed
Lau, BHP, Chan, CLW, Ng, SM. Resilience of Hong Kong people in the COVID-19 pandemic: lessons learned from a survey at the peak of the pandemic in Spring 2020. Asia Pac J Soc Work Dev. 2020;31:105–14.CrossRefGoogle Scholar
Kwok, KO, Li, KK, Chan, HHH, Yi, YY, Tang, A, Wei, WI, et al. Community responses during early phase of COVID-19 epidemic in Hong Kong: risk perception, information exposure and preventive measures. Emerg Infect Dis. 2020;26:1575–79. doi:10.3201/eid2607.200500.CrossRefGoogle Scholar
Zmerli, S, Newton, K. Social trust and attitudes toward democracy. Public Opin Q. 2008;72:706–24. doi:10.1093/poq/nfn054.CrossRefGoogle Scholar
Voci, A. The link between identification and in-group favouritism: effects of threat to social identity and trust-related emotions. Br J Soc Psychol. 2006;45:265–84. doi:10.1348/014466605x52245.CrossRefGoogle ScholarPubMed
Prati, G, Pietrantoni, L. Italian adaptation and confirmatory factor analysis of the full and the short form of the posttraumatic growth inventory. J Loss Trauma. 2012;19:1222.CrossRefGoogle Scholar
Zwahlen, D, Hagenbuch, N, Carley, MI, Jenewein, J, Buchi, S. Posttraumatic growth in cancer patients and partners – effects of role, gender and the dyad on couples’ posttraumatic growth experience. Psychooncology. 2010;19(1):1220.CrossRefGoogle ScholarPubMed
Petzold, MB, Bendau, A Plag, J, Pyrkosch, L, Mascarell Maricic, L., Betzler, F, et al. Risk, resilience, psychological distress, and anxiety at the beginning of the COVID-19 pandemic in Germany. Brain Behav. 2020;10:e01745.CrossRefGoogle ScholarPubMed
Kim, E, Bae, S. Gratitude moderates the mediating effect of deliberate rumination on the relationship between intrusive rumination and post-traumatic growth. Front Psychol. 2019;10:2665.CrossRefGoogle ScholarPubMed
Vishnevsky, T, Cann, A, Calhoun, LG, Tedeschi, RG, Demakis, GJ. Gender differences in self-reported posttraumatic growth: a meta-analysis. Psychol Women Q.. 2010;34:110–20.CrossRefGoogle Scholar
Kashdan, TB, Kane, JQ. Post-traumatic distress and the presence of post-traumatic growth and meaning in life: experiential avoidance as a moderator. Pers Individ Dif. 2011;50:84–9. doi:10.1016/j.paid.2010.08.028.CrossRefGoogle Scholar
Antoni, MH, Lehman, JM, Klibourn, KM, Boyers, AE, Culver, JL, Alferi, SM, et al. Cognitive-behavioral stress management intervention decreases the prevalence of depression and enhances benefit finding among women under treatment for early-stage breast cancer. Health Psychology. 2001;20:2032.Google ScholarPubMed
Kar, N, Kar, B, Kar, S. Stress and coping during COVID-19 pandemic: result of an online survey. Psychiatry Res. 2021;295:113598.CrossRefGoogle ScholarPubMed
Sattler, DN, Bloyd, B, Kirsch, J. Trauma-exposed firefighters: relationships among posttraumatic growth, posttraumatic stress, resource availability, coping and critical incident stress debriefing experience. Stress Health. 2014;30:356–65.CrossRefGoogle ScholarPubMed
Teasdale, E, Yardley, L, Schlotz, W, Michie, S. The importance of coping appraisal in behavioural responses to pandemic flu. Br J Health Psychol. 2012;17:4459.CrossRefGoogle ScholarPubMed
Ellena, AM, Aresi, G, Marta, E, Pozzi, M. Post-traumatic growth dimensions differently mediate the relationship between national identity and interpersonal trust among young adults: a study on COVID-19 crisis in Italy. Front Psychol. 2021;11:576610.CrossRefGoogle Scholar
Baltar, F, Brunet, I Social research 2.0: virtual snowball sampling method using facebook. Internet Res. 2012;22:5774.CrossRefGoogle Scholar
Wong, CCY, Yeung, NCY. Self-compassion and posttraumatic growth: cognitive processes as mediators. Mindfulness. 2017;8:1078–87.CrossRefGoogle Scholar
Kaufman, K, Petkova, E, Bhui, K, Schulze, T. A global needs assessment in times of a global crisis: world psychiatry response to the COVID-19 pandemic. BJPsych Open. 2020;6:e48.CrossRefGoogle ScholarPubMed
McDaid, D. Viewpoint: investing in strategies to support mental health recovery from the COVID-19 pandemic. Eur Psychiatry. 2021;64(1):e32.CrossRefGoogle ScholarPubMed
Whitley, R, Shepherd, G, Slade, M. Recovery colleges as a mental health innovation. World Psychiatry. 2019;18:141–2.CrossRefGoogle ScholarPubMed
Reynolds, CF. Optimizing personalized management of depression: the importance of real-world contexts and the need for a new convergence paradigm in mental health. World Psychiatry. 2020;19:266–8.CrossRefGoogle ScholarPubMed
Sinha, M, Collins, P, Herrman, H. Collective action for young people’s mental health: the citiesRISE experience. World Psychiatry. 2019;18:114–5.CrossRefGoogle ScholarPubMed
Collins, PY. What is global mental health? World Psychiatry. 2020;19(3):265–6. doi:10.1002/wps.20728.CrossRefGoogle ScholarPubMed
Phillips, MR. World mental health day 2020: promoting global mental health during COVID-19. China CDC Wkly. 2020;2(43):844–7. doi:10.46234/ccdcw2020.220.CrossRefGoogle ScholarPubMed
Jorm, AF, Kitchener, BA, Reavley, NJ. Mental health first aid training: lessons learned from the global spread of a community education program. World Psychiatry. 2019;18:142–3.CrossRefGoogle ScholarPubMed
Kahn, JP, Cohen, RF, Tubiana, A, Legrand, K, Wasserman, C, Carli, V, et al. Influence of coping strategies on the efficacy of YAM (Youth Aware of Mental Health): a universal school-based suicide preventive program. Eur Child Adolesc Psychiatry. 2020;29(12):1671–81. doi:10.1007/s00787-020-01476-w.CrossRefGoogle ScholarPubMed
Papola, D, Purgato, M, Gastaldon, C, Bovo, C, van Ommeren, M, Barbui, C, et al. Psychological and social interventions for the prevention of mental disorders in people living in low- and middle-income countries affected by humanitarian crises. Cochrane Database Syst Rev. 2020;9(9):CD012417.Google ScholarPubMed
D’Arcy, C, Meng, X. Prevention of common mental disorders: conceptual framework and effective interventions. Curr Opin Psychiatry. 2014;27(4):294301.CrossRefGoogle ScholarPubMed
Barry, MM, Clarke, AM, Petersen, I. Promotion of mental health and prevention of mental disorders: priorities for implementation. East Mediterr Health J. 2015;21(7):503–11.CrossRefGoogle Scholar
Figure 0

Table 1. Sociodemographic characteristics of the global sample (n = 20,720).

Figure 1

Figure 1. Percentage of participants with growth in at least one domain of PTG.

Figure 2

Table 2. Gender differences in levels of PTG.

Figure 3

Table 3. Differences in the levels of PTG.

Figure 4

Table 4. Predictors of levels of post-traumatic growth.

Submit a response

Comments

No Comments have been published for this article.