Skip to main content

BRIEF RESEARCH REPORT article

Front. Psychol., 03 June 2022
Sec. Psychology for Clinical Settings

Risk and Protective Factors of Psychological Distress in Patients Who Recovered From COVID-19: The Role of Cognitive Reserve

\r\nMaria Devita*&#x;Maria Devita1*†Elisa Di Rosa&#x;Elisa Di Rosa1†Pamela IannizziPamela Iannizzi2Sara BianconiSara Bianconi2Sara Anastasia ContinSara Anastasia Contin2Simona TirioloSimona Tiriolo2Marta Ghisi,Marta Ghisi1,2Rossana SchiavoRossana Schiavo2Nicol BernardinelloNicol Bernardinello3Elisabetta CocconcelliElisabetta Cocconcelli3Elisabetta BalestroElisabetta Balestro3Anna Maria CattelanAnna Maria Cattelan4Davide LeoniDavide Leoni3Biancarosa VolpeBiancarosa Volpe2Daniela MapelliDaniela Mapelli1
  • 1Department of General Psychology, University of Padua, Padua, Italy
  • 2Unitá Operativa Complessa (UOC) Hospital Psychology, Padua University Hospital, Padua, Italy
  • 3Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy
  • 4Infectious Disease Unit, Padua University Hospital, Padua, Italy

Recent studies reported the development of psychological distress symptoms in patients who recovered from COVID-19. However, evidence is still scarce and new data are needed to define the exact risk and protective factors that can explain the variability in symptoms manifestation. In this study, we enrolled 257 patients who recovered from COVID-19 and we evaluated the levels of psychological distress through the Symptoms Checklist-90-R scale. Data concerning illness-related variables were collected from medical records, while the presence of subjective cognitive difficulties, both before and after the illness, as well as the level of the cognitive reserve (CR), were assessed over a clinical interview. Results revealed that being female and reporting the presence of subjective cognitive difficulties after COVID-19 were associated with higher levels of psychological distress. At the same time, being admitted to the hospital and having a high CR were protective factors. Adding new information to this emerging research field, our results highlight the importance of a complete psychological and cognitive assessment in patients with COVID-19.

Introduction

In the last year and a half, the entire world has gone through the outbreak of a novel coronavirus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). So far, more than 200 million cases of infection have been detected worldwide and more than 4 million deaths have unfortunately been recorded (World Health Organization). Indeed, the severity of COVID-19, the disease caused by this infection, widely ranges. It can either be asymptomatic or, in its mild to moderate form, characterized by physical symptoms such as fever, cough, fatigue, and breathing difficulties. Neurological symptoms can also be present, such as loss of smell and taste, febrile seizures, convulsions, change in mental status, and encephalitis. In the most severe cases, COVID-19 can lead to a multisystemic disease often requiring oxygen therapy, hospitalization, and, in the worse cases, intensive care and intubation. It is now well-established that the main risk factors that increase physical symptoms’ severity are age, the presence of respiratory and cardiovascular diseases, and comorbidities, such as obesity, diabetes, and hypertension (Jordan et al., 2020; Matsushita et al., 2020; Passamonti et al., 2020; Sattar et al., 2020; Wolff et al., 2020; Zheng et al., 2020).

Importantly, symptoms of psychological distress, Anxiety, and post-traumatic stress have been reported among patients with COVID-19 (Xu et al., 2020; Bonazza et al., 2020; Janiri et al., 2020; Ma et al., 2020; Rabinovitz et al., 2020; Liyanage-Don et al., 2021), as well as months after recovery (Tomasoni et al., 2021). However, despite their impact on patients’ quality of life, the psychological symptoms of COVID-19 have been scarcely investigated if compared with the physical ones, with no available evidence about their risk and potential protective factors. Indeed, obtaining this information would be extremely useful to maximize both prevention and treatment strategies of the so-called long-COVID syndrome, and the persistence of physical and psychological symptoms in patients who recovered from COVID-19.

Hence, to overcome this limitation by adding new knowledge to this research field, in this study, we evaluated the levels of psychological distress in a large group of patients who recovered from COVID-19, aiming to reach the following three objectives.

The first one concerned the study of the relation between COVID-19 severity and psychological distress. Indeed, although previous evidence has been reported so far, the currently available studies have obtained mixed results (see Mazza et al., 2020; Liyanage-Don et al., 2021; Putri et al., 2021; Sykes et al., 2021; Vincent et al., 2021), and new evidence is needed to shed light on the role of illness-related experiences, such as hospitalization or the need of oxygen supply therapy and psychological distress symptoms of patients who recovered from COVID-19.

Second, we aimed at studying the existence of an association between psychological distress and subjective cognitive difficulties in patients who recovered from COVID-19.

In fact, despite the presence of illness-related cognitive failures has been widely documented (Ferrucci et al., 2021; Kumar et al., 2021; Miskowiak et al., 2021), as well as the association between cognitive frailties and subsequent mood disorders, to the best of our knowledge, scarce evidence these variables among patients with COVID-19 is available.

Concerning these first two objectives, we hypothesized that higher levels of psychological distress can be detected in those who experienced a higher level of COVID-19 severity and in those who reported the presence of cognitive failures.

Finally, our third objective was to evaluate the potential role of cognitive reserve (CR) in the development of psychological distress symptoms in patients with COVID-19. CR is the ability to compensate for brain damage through neural networks and alternative cognitive strategies (Stern, 2009). CR represents a sort of cumulative cerebral potential derived from everyday life (i.e., education, working, and leisure time activities that are cognitively engaging and stimulating). It was found to play protective effects against medical diseases (Ribeiro et al., 2020), although evidence for its influence on psychopathological conditions is still scarce. In the context of the COVID-19 pandemic, in which mood disorders were expected and reported by the current literature, it seems important to understand which factors may protect individuals from developing psychopathological issues (Coin et al., 2022). CR is supposed to have this role, thanks to the higher resilience (Ran et al., 2020), cognitive strategies, and resources people with high CR show every day. Hence, our hypothesis was to find a negative association between CR levels and psychological distress symptoms of COVID-19.

Materials and Methods

Participants

Two hundred and fifty-seven (110 F; mean age 57.3 ± 13.4 years; range 18–86 years; mean education 13.2 ± 4.7 years; range 5–30 years) participants were consecutively recruited, while accessing the follow-up clinical visit at the Infectious and Tropical Diseases Unit (Azienda Ospedale-Università Padova), within 1 month after hospital discharge, between May 2020 and June 2021. During a single follow-up, participants underwent neurological, ophthalmological, blood, cognitive, and psychological examinations. Inclusion criteria were previous positivity to syndrome coronavirus 2 (SARS-CoV-2), a previous consultation and/or hospitalization, and aged between 18 and 90 years. Exclusion criteria were being non-Italian native speakers and the presence of important physical/sensory deficits, which could not allow the testing sessions to properly take place. Moreover, patients with medical records indicating a history of psychiatric illness were also excluded from the analysis, as well as those participants who asked for the medical investigation because of their subjective cognitive impairments in the last year. Every participant provided written informed consent before entering the study. Data were collected at the hospital’s Psychology, the Infectious Diseases, and the Pneumology Operational Units of the Padova University Hospital, during post-hospitalization pneumatological and infectious follow-ups, occurring 1 month after the last negative nasopharyngeal swab test. The protocol was in accordance with the Helsinki Declaration on human rights and was approved by the Ethics Committee of the Padova University Hospital.

Measures

Every participant was asked to attend a testing session where psychological distress was assessed through the Symptoms Checklist-90-R (SCL-90-R; Derogatis, 1992), which produces three Global Indices (Global Severity Index, Positive Symptom Distress Index, and Positive Symptom Total), as well as nine primary symptom dimensions (Somatization, Obsessive–Compulsive, Interpersonal Sensitivity, Depression, Anxiety, Hostility, Phobic Anxiety, Paranoid Ideation, and Psychoticism). Raw scores were transformed into T scores for all the 12 indices and, according to the normative values (Prunas et al., 2012), scores over 55 were considered clinically significant, with the range between 55 and 64 considered moderate severity and scores over 64 considered as major severity indices.

The presence of subjective cognitive difficulties (i.e., forgetfulness, concentration drop, attentional lability, and distractibility) before, during the last year, and after COVID-19 infection was assessed using a semi-structured, “ad hoc” clinical interviews. Answers have been categorized as binary variables (presence; yes vs. absence; no).

To evaluate CR, the Cognitive Reserve Index Questionnaire (CRIq; Nucci et al., 2012) was employed. Responses to this questionnaire produce one global index (CRIq total score), and three sub-scores reflecting the role of education (CRIq-education), occupation (CRIq-working activities), and stimulating activities not related to education and work (CRIq-leisure time).

Information about the severity of COVID-19 diseases, such as hospitalization, intubation,1 and oxygen supply,2 as well as the presence of neurological and previous psychiatric symptoms, was obtained from medical records.

Statistical Analyses

Descriptive statistics were performed for each of the measure obtained. Chi-square tests were performed to investigate the association between the presence of subjective cognitive difficulties before and after COVID-19. Multiple linear regression models were conducted separately for each of the 12 indices of the SCL-90-R (T scores), which were considered dependent variables. To corroborate this methodological approach, a power analysis has been also conducted (λ = 38.55, F = 1.79, df = 12, 1 − β = 0.99). In each of the models, the following independent variables were considered: age, sex, the presence of subjective cognitive difficulties before COVID-19 (yes vs. no); the presence of subjective cognitive difficulties after COVID-19 (yes vs. no); the four CRIq scores (CRIq total score, CRIq-education, CRIq-working activities, and CRIq-leisure time), presence of neurological symptoms (yes vs. no), hospitalization (yes vs. no), intubation (yes vs. no), and oxygen therapy (yes vs. no).

Statistical analyses were carried out using JAMOVI software, version 1.6.

Results

Data collected from the medical records indicate that 84% of the patients’ sample (N = 216) were hospitalized because of COVID-19, with 18.3% (N = 47) receiving an oxygen supply therapy (such as high flow nasal cannula, non-invasive ventilation, and intensive oxygen therapy) and 6.2% (N = 16) needing intubation. Of the total sample included, 60% of the patients (N = 156) experienced neurological symptoms of COVID-19, such as anosmia, ageusia, headache, olfactory and auditory hallucinations, and tinnitus.

Data collected in the clinical interview revealed that 32.3% of the patients (N = 83) reported the presence of cognitive difficulties after COVID-19, as shown in Table 1. Importantly, 75.9% of them (N = 63) declared that these difficulties were not present before COVID-19. Results of a Chi-square test confirmed the absence of a significant association between the presence of cognitive difficulties before and after COVID-19 (x2 = 0.248; p = 0.619).

TABLE 1
www.frontiersin.org

Table 1. Shows demographic, COVID-19, and psychological descriptive characteristics of the sample, and the frequencies, among participants, of presence/absence of cognitive difficulties before and after infection.

As it showed in Table 2, more than 20% of the sample showed clinically relevant scores at the SCL-90-R subscales assessing symptoms of Anxiety (22.6%), Depression (23%), Obsessive–Compulsive behavior (25.3%), Somatization (27.6%), and Phobic Anxiety (28.8%).

TABLE 2
www.frontiersin.org

Table 2. Symptoms Checklist-90-R and Cognitive Reserve Index Questionnaire scores.

Predictors of Psychological Distress

Illness Severity and Demographics

Results revealed a significant association between scores at the Somatization subscale and hospitalization (Estimate = −8.77; SE = 3.11; Standardized Estimate = −0.76; t = −2.81; p < 0.01), with higher scores in patients who were not hospitalized because of COVID-19. Results also showed significant association between sex and Positive Symptom Total (Estimate = 3.25; SE = 1.58; Standardized Estimate = 0.28; t = 2.4; p < 0.05) with higher levels of psychological distress in female participants. Similarly, no other illness severity indices were found to be significantly associated with any of the SCL-90-R scores.

Subjective Cognitive Difficulties

Results of the linear regression analyses revealed that the COVID-19-related subjective cognitive difficulties represent a predictor of psychological distress, with significant association with the Global Severity Index score (Estimate = −11.43; SE = 1.66; Standardized Estimate = −0.96; t = −6.85; p < 0.001), Positive Symptom Distress Index (Estimate = −8.00; SE = 1.56; Standardized Estimate = −0.76; t = −5.12; p < 0.001), and Positive Symptom Total (Estimate = −10.70; SE = 1.63; Standardized Estimate = −0.92; t = −6.54; p < 0.001). Results also show that the presence of subjective cognitive difficulties was significantly associated to all the nine primary symptoms dimension of the SCL-90-R (for all, p < 0.001; see Table 3); in particular, higher scores at the SCL-90-R were found in those patients who experienced cognitive difficulties after being ill with COVID-19. Importantly, no significant relations emerged between SCL-90-R scores and the presence of subjective cognitive difficulties before COVID-19.

TABLE 3
www.frontiersin.org

Table 3. Results of the regression analysis showing that SCL-90-R primary symptoms dimensions are predicted by subjective cognitive difficulties.

Cognitive Reserve

Results revealed the presence of significant negative associations between CRIq-leisure time score and the following SCL-90-R global indices: Global Severity Index (Estimate = −0.16; SE = 0.06; Standardized Estimate = −0.26; t = −2.45; p < 0.05; see Figure 1A) and Positive Symptom Total (Estimate = −0.17; SE = 0.06; Standardized Estimate = −0.28; t = −2.67; p < 0.01; see Figure 1B).

FIGURE 1
www.frontiersin.org

Figure 1. The association between CRIq-leisure time score and the SCL-90. Global severity index (A) and positive symptom total (B).

Levels of CRIq-leisure time also predicted the following primary symptoms dimension scores: Obsessive–Compulsive (Estimate = −0.18; SE = 0.06; Standardized Estimate = −0.27; t = −2.65; p < 0.005), Interpersonal Sensitivity (Estimate = −0.14; SE = 0.06; Standardized Estimate = −0.26; t = −2.24; p < 0.05), Depression (Estimate = −0.16; SE = 0.06; Standardized Estimate = −0.25; t = −2.33; p < 0.05), Anxiety (Estimate = −0.13; SE = 0.06; Standardized Estimate = −0.21; t = −1.96; p = 0.05), and Psychoticism (Estimate = −0.15; SE = 0.06; Standardized Estimate = −0.26; t = −2.36; p < 0.05).

Discussion

The main goal of this study is to add new knowledge to the growing research field investigating the post-COVID-19 symptoms. More specifically, we aimed to evaluate symptoms of psychological distress in patients who recovered from COVID-19, confirming what the literature has reported, so far, and investigate the role of illness severity, subjective cognitive failures, and CR in their development and manifestation. To reach our goals, we administered the SCL-90-R scale to a sample of 257 patients who recovered from COVID-19, and we evaluated the role of the above-mentioned variables in the score’s variability. Results show that more than 20% of the patients who recovered from COVID-19 who took part in this study showed clinically relevant symptoms of Anxiety, Depression, Obsessive–Compulsive disorder, Phobic Anxiety, and Somatization (it is interesting to note that, before the pandemic, the Italian prevalence of mental diseases was around 7%, De Girolamo et al., 2014).

If compared with the more recent studies statistics obtained from the Italian population during the pandemic (Delmastro and Zamariola, 2020; Rossi et al., 2020), these data suggest the presence of a significant level of psychological distress in patients who recovered from COVID-19, in line with previous reports (Xu et al., 2020; Bonazza et al., 2020; Janiri et al., 2020; Ma et al., 2020; Rabinovitz et al., 2020; Liyanage-Don et al., 2021; Tomasoni et al., 2021). This result, although not suggesting new evidence, is still contributing to defining the psychological outcomes, of the date somehow mixed (Cooke et al., 2020) of individuals who suffered from COVID-19. Future studies would need to further examine the specific aspects of these psychological symptoms. For example, it would be important to investigate to what extent the Phobic Anxiety symptoms and the Obsessive–Compulsive behaviors are related to possible COVID-19 reinfection.

Coherently with the literature (Hodes and Epperson, 2019; see also Yan et al., 2021), results also indicated that, even in this sample of patients, being female represented a risk factor for the development of psychological distress, and, more specifically, to obtain higher scores at the global index Positive Symptoms Total, which represents the number of SCL-90-R items scored above zero (this latter result, however, confirms what the original authors of the scale found through an investigation about factorial invariance across gender (Derogatis and Cleary, 1977).

Results also indicated that, of the different illness-related variables considered in this study, only hospitalization had a significant role in explaining the variability of these symptoms. Specifically, results revealed a protective role of hospitalization on the scores obtained at the SCL-90-R Somatization subscale, which, according to Holi (2003), measures symptoms that have a high prevalence in disorders with suggested functional etiology and that reflects distress arising from bodily perceptions. Surprisingly, no other illness severity indices were found to be significantly associated with any of the SCL-90-R scores. We could hypothesize that, regardless of the severity of COVID-19, just being infected represents, in a historical experience as a worldwide pandemic, a strong enough event to develop and manifest psychological malaise. Although based on the first reading, the lack of other associations between illness severity and psychological distress could not seem in line with the current literature, we also believe that this result could be ascribed to the measurements used and the psychological domains explored.

Taken together, these first set of results are coherent with the findings of Mazza et al. (2020), who reported that both being male and being admitted to the hospital represented protective factors against the development of psychological sequelae after COVID-19.

We hypothesized that being hospitalized may have induced individuals to feel more protected, in a safe space, in which potentially fatal consequences of the disease would have been early detected and treated by the hospital staff. Conversely, being infected and at home, could have made people feeling more vulnerable, lonely, and abandoned because of the disease.

The second set of results revealed a significant association between the presence of subjective cognitive difficulties and the level of psychological distress in patients who recovered from COVID-19.

Specifically, this association was quite broad and robust, as it was significant for each of the SCL-90-R subscales, and it was at the same time very specific since it concerned only the cognitive difficulties that patients report to be present after, but not before, their illness of COVID-19. These findings are coherent with the well-established relation between subjective cognitive failures and affective symptoms (for a meta-analysis see Hill et al., 2016; see also Mahoney et al., 1998), which has been also reported in recent studies, investigating the general population’s mental health during the pandemic (Kelly, 2020; Fiorenzato et al., 2021; Nogueira et al., 2021; Santangelo et al., 2021). Adding new knowledge in the research field investigating psychological sequelae of recovered patients with COVID-19, our findings open new questions to be answered with follow-up studies.

Indeed, in absence of a pre-illness evaluation of both cognitive functions and psychological status, the association that emerged in this study does not give us information about the temporal dynamics of this symptom’s association and can be, by now, read as proof of an association between the patient’ distress and the subjective evaluation of cognitive abilities, and associations that were also documented in other clinical conditions (Goebel et al., 2013; Pranckeviciene et al., 2017). Furthermore, it could be that subjective cognitive difficulties can be intended as a proxy rather than a cause of distress. Our data are currently not able to disambiguate this point, which we believe represents an open issue to investigate.

Finally, the third set of results revealed that CR represents a protective factor against the development of psychological distress symptoms in patients who recovered from COVID-19.

Specifically, a higher frequency of cognitively stimulating activities not directly related to education or occupation, such as going to the movies, driving a car, and managing a bank account, predicts lower levels of Depression, Anxiety, and Obsessive–Compulsive symptoms, expressed as clinically significant by more than 20% of the sample, as well as lower scores at the SCL-90-R sub-scales assessing Interpersonal Sensitivity and Psychoticism. These associations were also reflected by the ones between CR and two of the three SCL-90-R global indices, namely, the Global Severity Index, which is the average score of the 90 items of the questionnaire, and the Positive Symptom Total, which is the number of items scored above zero (Derogatis, 1992). It is interesting to note that CR related to leisure time activity showed the most significant results in our analyses considering the social restrictions adopted to control the COVID-19 spread. This makes even more sense if we look at some of the results, such as Interpersonal Sensitivity, Depression, and Psychoticism that are somehow implicated in individuals’ social life and abilities.

To the best of our knowledge, this is the first study pointing out the role of CR and, more specifically, of the reserve build through a lifetime of cognitive and socially stimulating activity, not directly linked to the educational context, as a protective factor against the psychological distress symptoms experienced by patients who recovered from COVID-19. Indeed, in a recent study by Yan et al. (2021), psychological distress was positively correlated with education, and negatively correlated with the frequency of contact with colleagues and with psychological resilience.

Limitations and Future Directions

Some limitations should be noted when considering our results. First, the lack of a psychological and cognitive assessment that preceded the illness, prevented us from evaluating more rigorously the changes in psychological wellbeing and cognitive functions due to COVID-19. Second is the lack of a control group, either of individuals who have never contracted the virus, or of patients who had a different diagnosis in the same historical period. Recognizing these two as the main limitations of our study, we have directly addressed them by asking participants to evaluate their psychological and cognitive wellbeing before the diagnosis of COVID-19, and adopting an analytic approach aimed to investigate the role of specific COVID-19-related variables, which would not have been evaluable in healthy individuals or patients with different clinical conditions. On the other hand, also asking patients directly about their cognitive and psychological wellbeing could represent a bias per se since it is not unobjectionable to their meta-cognitive ability. Furthermore, it should be acknowledged that individuals with psychiatric diseases were excluded from the study; however, this information was only collected by a self-report and consulting clinical records without assessing the presence/absence of diseases through specific tools. Finally, and similarly to the previous consideration, the presence/absence of cognitive difficulties was simply asked from participants without a neuropsychological screening. Also, data about cognitive status before the pandemic should be carefully considered, considering the self-report methodology adopted.

Future development of the present work could take into account these aspects by planning multiple follow-ups and testings of patients who recovered from COVID-19. This would allow not only to overcome these limitations, but also to better define the psychological and cognitive aspects of COVID-19.

Conclusion

To our opinion, the findings of this study represent a set of crucial information for both researchers and clinicians working with patients who recovered from COVID-19, which is currently more than 4 M only in Italy (World Health Organization). Indeed, our results not only represent an important knowledge advancement in the study of the factors associated with psychological distress in patients who recovered from COVID-19, but it emphasizes the importance of a multidisciplinary assessment, where clinical, psychological, and cognitive evaluations should be integrated.

Gaining insight into the dynamic association between these aspects might help not only in identifying individuals who are at increased risk early on, but also in providing adequate support to mitigate mental health problems in patients who recovered from COVID-19.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by the Ethics Committee of the Padova University Hospital. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

ED, MD, PI, BV, and DM designed the study. ED analyzed the data and drafted the manuscript. All authors contributed to data collection, interpretation, and manuscript revision.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Footnotes

  1. ^ 1N = 227.
  2. ^ 2N = 236.

References

Bonazza, F., Borghi, L., di San Marco, E. C., Piscopo, K., Bai, F., Monforte, A. D. A., et al. (2020). Psychological outcomes after hospitalization for COVID-19: data from a multidisciplinary follow-up screening program for recovered patients. Res. Psychother. 23:491. doi: 10.4081/ripppo.2020.491

PubMed Abstract | CrossRef Full Text | Google Scholar

Coin, A., Devita, M., Bizzotto, M., Bubola, A., Manzato, E., Sergi, G., et al. (2022). The association between cognitive reserve and depressive mood in older inpatients: gender and age differences. Exp. Aging Res. [Online ahead of print] doi: 10.1080/0361073X.2022.2041324

PubMed Abstract | CrossRef Full Text | Google Scholar

Cooke, J. E., Eirich, R., Racine, N., and Madigan, S. (2020). Prevalence of posttraumatic and general psychological stress during COVID-19: a rapid review and meta-analysis. Psychiatry Res. 292:113347. doi: 10.1016/j.psychres.2020.113347

PubMed Abstract | CrossRef Full Text | Google Scholar

De Girolamo, G., Polidori, G., Morosini, P., Mazzi, F., Serra, G., Visonà, G., et al. (2014). La Prevalenza dei Disturbi Mentali in Italia. Il Progetto ESEMED-WMH. Roma: Una sintesi.

Google Scholar

Delmastro, M., and Zamariola, G. (2020). Depressive symptoms in response to COVID-19 and lockdown: a cross-sectional study on the Italian population. Sci. Rep. 10, 1–10. doi: 10.1038/s41598-020-79850-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Derogatis, L. R. (1992). SCL-90-R: Administration, Scoring & Procedures Manual-II for the (Revised) Version and other Instruments of the Psychopathology Rating Scale Series. Towson, MD: Clinical Psychometric Research, 1–16.

Google Scholar

Derogatis, L. R., and Cleary, P. A. (1977). Factorial invariance across gender for the primary symptom dimensions of the SCL-90. Br. J. Soc. Clin. Psychol. 16, 347–356.

Google Scholar

Ferrucci, R., Dini, M., Groppo, E., Rosci, C., Reitano, M. R., Bai, F., et al. (2021). Long-lasting cognitive abnormalities after COVID-19. Brain Sci. 11:235. doi: 10.3390/brainsci11020235

PubMed Abstract | CrossRef Full Text | Google Scholar

Fiorenzato, E., Zabberoni, S., Costa, A., and Cona, G. (2021). Cognitive and mental health changes and their vulnerability factors related to COVID-19 lockdown in Italy. PLoS One 16:e0246204. doi: 10.1371/journal.pone.0246204

CrossRef Full Text | Google Scholar

Goebel, S., Kaup, L., Wiesner, C. D., and Mehdorn, H. M. (2013). Affective state and cognitive functioning in patients with intracranial tumors: validity of the neuropsychological baseline assessment. Psychooncology 22, 1319–1327. doi: 10.1002/pon.3142

PubMed Abstract | CrossRef Full Text | Google Scholar

Hill, N. L., Mogle, J., Wion, R., Munoz, E., DePasquale, N., Yevchak, A. M., et al. (2016). Subjective cognitive impairment and affective symptoms: a systematic review. Gerontologist 56, e109–e127.

Google Scholar

Hodes, G. E., and Epperson, C. N. (2019). Sex differences in vulnerability and resilience to stress across the life span. Biol. Psychiatry 86, 421–432. doi: 10.1016/j.biopsych.2019.04.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Holi, M. (2003). Assessment of Psychiatric Symptoms using the SCL-90. Doctoral thesis. Helsinki: University of Helsinki.

Google Scholar

Janiri, D., Kotzalidis, G. D., Giuseppin, G., Molinaro, M., Modica, M., Montanari, S., et al. (2020). Psychological distress after covid-19 recovery: reciprocal effects with temperament and emotional dysregulation. an exploratory study of patients over 60 years of age assessed in a post-acute care service. Front. Psychiatry 11:590135. doi: 10.3389/fpsyt.2020.590135

CrossRef Full Text | Google Scholar

Jordan, R. E., Adab, P., and Cheng, K. (2020). Covid-19: risk factors for severe disease and death. BMJ 368:m1198.

Google Scholar

Kelly, B. D. (2020). Quarantine, restrictions and mental health in the COVID-19 pandemic. QJM 114, 93–94. doi: 10.1093/qjmed/hcaa322

PubMed Abstract | CrossRef Full Text | Google Scholar

Kumar, S., Veldhuis, A., and Malhotra, T. (2021). Neuropsychiatric and cognitive sequelae of COVID-19. Front. Psychol. 12:577529. doi: 10.3389/fpsyg.2021.577529

CrossRef Full Text | Google Scholar

Liyanage-Don, N. A., Cornelius, T., Sanchez, J. E., Trainor, A., Moise, N., Wainberg, M., et al. (2021). Psychological distress, persistent physical symptoms, and perceived recovery after COVID-19 Illness. J. Gen. Internal Med. 36, 2525–2527. doi: 10.1007/s11606-021-06855-w

PubMed Abstract | CrossRef Full Text | Google Scholar

Ma, Y. F., Li, W., Deng, H. B., Wang, L., Wang, Y., Wang, P. H., et al. (2020). Prevalence of depression and its association with quality of life in clinically stable patients with COVID-19. J. Affect. Disord. 275, 145–148. doi: 10.1016/j.jad.2020.06.033

PubMed Abstract | CrossRef Full Text | Google Scholar

Mahoney, A. M., Dalby, J. T., and King, M. C. (1998). Cognitive failures and stress. Psychol. Rep. 82, 1432–1434. doi: 10.2466/pr0.1998.82.3c.1432

PubMed Abstract | CrossRef Full Text | Google Scholar

Matsushita, K., Ding, N., Kou, M., Hu, X., Chen, M., Gao, Y., et al. (2020). The relationship of COVID-19 severity with cardiovascular disease and its traditional risk factors: a systematic review and meta-analysis. Glob. Heart 15:64. doi: 10.5334/gh.814

PubMed Abstract | CrossRef Full Text | Google Scholar

Mazza, M. G., De Lorenzo, R., Conte, C., Poletti, S., Vai, B., Bollettini, I., et al. (2020). Anxiety and depression in COVID-19 survivors: role of inflammatory and clinical predictors. Brain Behav. Immun. 89, 594–600. doi: 10.1016/j.bbi.2020.07.037

PubMed Abstract | CrossRef Full Text | Google Scholar

Miskowiak, K. W., Johnsen, S., Sattler, S. M., Nielsen, S., Kunalan, K., Rungby, J., et al. (2021). Cognitive impairments four months after COVID-19 hospital discharge: pattern, severity and association with illness variables. Eur. Neuropsychopharmacol. 46, 39–48. doi: 10.1016/j.euroneuro.2021.03.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Nogueira, J., Gerardo, B., Silva, A. R., Pinto, P., Barbosa, R., Soares, S., et al. (2021). Effects of restraining measures due to COVID-19: pre-and post-lockdown cognitive status and mental health. Curr. Psychol. [Online ahead of print] doi: 10.1007/s12144-021-01747-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Nucci, M., Mapelli, D., and Mondini, S. (2012). Cognitive Reserve Index questionnaire (CRIq): a new instrument for measuring cognitive reserve. Aging Clin. Exp. Res. 24, 218–226. doi: 10.3275/7800

PubMed Abstract | CrossRef Full Text | Google Scholar

Passamonti, F., Cattaneo, C., Arcaini, L., Bruna, R., Cavo, M., Merli, F., et al. (2020). Clinical characteristics and risk factors associated with COVID-19 severity in patients with haematological malignancies in Italy: a retrospective, multicentre, cohort study. Lancet Haematol. 7, e737–e745. doi: 10.1016/S2352-3026(20)30251-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Pranckeviciene, A., Deltuva, V. P., Tamasauskas, A., and Bunevicius, A. (2017). Association between psychological distress, subjective cognitive complaints and objective neuropsychological functioning in brain tumor patients. Clin. Neurol. Neurosurg. 163, 18–23. doi: 10.1016/j.clineuro.2017.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Prunas, A., Sarno, I., Preti, E., Madeddu, F., and Perugini, M. (2012). Psychometric properties of the Italian version of the SCL-90-R: a study on a large community sample. Eur. Psychiatry 27, 591–597. doi: 10.1016/j.eurpsy.2010.12.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Putri, D. U., Tsai, Y. S., Chen, J. H., Tsai, C. W., Ou, C. Y., Chang, C. R., et al. (2021). Psychological distress assessment among patients with suspected and confirmed COVID-19: a cohort study. J. Formos. Med. Assoc. 120, 1602–1610. doi: 10.1016/j.jfma.2021.02.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Rabinovitz, B., Jaywant, A., and Fridman, C. B. (2020). Neuropsychological functioning in severe acute respiratory disorders caused by the coronavirus: implications for the current COVID-19 pandemic. Clin. Neuropsychol. 34, 1453–1479. doi: 10.1080/13854046.2020.1803408

PubMed Abstract | CrossRef Full Text | Google Scholar

Ran, L., Wang, W., Ai, M., Kong, Y., Chen, J., and Kuang, L. (2020). Psychological resilience, depression, anxiety, and somatization symptoms in response to COVID-19: a study of the general population in China at the peak of its epidemic. Soc. Sci. Med. 262:113261. doi: 10.1016/j.socscimed.2020.113261

PubMed Abstract | CrossRef Full Text | Google Scholar

Ribeiro, M. H. D. M., da Silva, R. G., Mariani, V. C., and dos Santos Coelho, L. (2020). Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. Chaos Solitons Fractals 135, 109853.

Google Scholar

Rossi, R., Socci, V., Talevi, D., Mensi, S., Niolu, C., Pacitti, F., et al. (2020). COVID-19 pandemic and lockdown measures impact on mental health among the general population in Italy. Front. Psychiatry 11:790. doi: 10.3389/fpsyt.2020.00790

CrossRef Full Text | Google Scholar

Santangelo, G., Baldassarre, I., Barbaro, A., Cavallo, N. D., Cropano, M., Maggi, G., et al. (2021). Subjective cognitive failures and their psychological correlates in a large Italian sample during quarantine/self-isolation for COVID-19. Neurol. Sci. 42, 2625–2635. doi: 10.1007/s10072-021-05268-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Sattar, N., McInnes, I. B., and McMurray, J. J. (2020). Obesity is a risk factor for severe COVID-19 infection: multiple potential mechanisms. Circulation 142, 4–6. doi: 10.1161/CIRCULATIONAHA.120.047659

PubMed Abstract | CrossRef Full Text | Google Scholar

Stern, Y. (2009). Cognitive reserve. Neuropsychologia 47, 2015–2028.

Google Scholar

Sykes, D. L., Holdsworth, L., Jawad, N., Gunasekera, P., Morice, A. H., and Crooks, M. G. (2021). Post-COVID-19 symptom burden: what is long-COVID and how should we manage it? Lung 199, 113–119. doi: 10.1007/s00408-021-00423-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Tomasoni, D., Bai, F., Castoldi, R., Barbanotti, D., Falcinella, C., Mulè, G., et al. (2021). Anxiety and depression symptoms after virological clearance of COVID-19: a cross-sectional study in Milan, Italy. J. Med. Virol. 93, 1175–1179. doi: 10.1002/jmv.26459

PubMed Abstract | CrossRef Full Text | Google Scholar

Vincent, A., Beck, K., Becker, C., Zumbrunn, S., Ramin-Wright, M., Urben, T., et al. (2021). Psychological burden in patients with COVID-19 and their relatives 90 days after hospitalization: a prospective observational cohort study. J. Psychosom. Res. 147:110526. doi: 10.1016/j.jpsychores.2021.110526

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolff, D., Nee, S., Hickey, N. S., and Marschollek, M. (2020). Risk factors for Covid-19 severity and fatality: a structured literature review. Infection 49, 15–28. doi: 10.1007/s15010-020-01509-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, B., Fan, C.-Y., Wang, A.-L., Zou, Y.-L., Yu, Y.-H., He, C., et al. (2020). Suppressed T cell-mediated immunity in patients with COVID-19: a clinical retrospective study in Wuhan, China. J. Infect. 81, e51–e60.

Google Scholar

Yan, S., Xu, R., Stratton, T. D., Kavcic, V., Luo, D., Hou, F., et al. (2021). Sex differences and psychological stress: responses to the COVID-19 pandemic in China. BMC Public Health 21:79. doi: 10.1186/s12889-020-10085-w

CrossRef Full Text | Google Scholar

Zheng, Z., Peng, F., Xu, B., Zhao, J., Liu, H., Peng, J., et al. (2020). Risk factors of critical & mortal COVID-19 cases: a systematic literature review and meta-analysis. J. Infect. 81, e16–e25.

Google Scholar

Keywords: COVID-19, cognitive reserve, psychological distress, subjective cognitive difficulties, protective factors, risk factors

Citation: Devita M, Di Rosa E, Iannizzi P, Bianconi S, Contin SA, Tiriolo S, Ghisi M, Schiavo R, Bernardinello N, Cocconcelli E, Balestro E, Cattelan AM, Leoni D, Volpe B and Mapelli D (2022) Risk and Protective Factors of Psychological Distress in Patients Who Recovered From COVID-19: The Role of Cognitive Reserve. Front. Psychol. 13:852218. doi: 10.3389/fpsyg.2022.852218

Received: 11 January 2022; Accepted: 05 May 2022;
Published: 03 June 2022.

Edited by:

Lorys Castelli, University of Turin, Italy

Reviewed by:

Paolo Taurisano, University of Bari “Aldo Moro”, Italy
Alberto Sardella, University of Messina, Italy

Copyright © 2022 Devita, Di Rosa, Iannizzi, Bianconi, Contin, Tiriolo, Ghisi, Schiavo, Bernardinello, Cocconcelli, Balestro, Cattelan, Leoni, Volpe and Mapelli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Maria Devita, maria.devita@unipd.it

These authors share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.