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Article

How Personality Relates to Distress in Parents during the Covid-19 Lockdown: The Mediating Role of Child’s Emotional and Behavioral Difficulties and the Moderating Effect of Living with Other People

by
Cristina Mazza
1,
Eleonora Ricci
2,
Daniela Marchetti
3,
Lilybeth Fontanesi
3,
Serena Di Giandomenico
3,
Maria Cristina Verrocchio
3,* and
Paolo Roma
2
1
Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti-Pescara, 66100 Chieti (CH), Italy
2
Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome (RM), Italy
3
Department of Psychological, Health and Territorial Sciences, G. d’Annunzio University of Chieti-Pescara, 66100 Chieti (CH), Italy
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(17), 6236; https://doi.org/10.3390/ijerph17176236
Submission received: 13 July 2020 / Revised: 18 August 2020 / Accepted: 21 August 2020 / Published: 27 August 2020
(This article belongs to the Special Issue Mental Health in the Time of COVID-19)
Browse Figures
Versions Notes

Abstract

:
Since the initiation of the COVID-19 lockdown, Italian parents have been forced to manage their children at home. The present study aimed at investigating the psychological distress of parents during the lockdown, identifying contributing factors. An online survey was administered to 833 participants from 3 to 15 April 2020. Mediation and moderated mediation models were run to explore the association between parent neuroticism and parent distress, mediated by child hyperactivity–inattention and child emotional symptoms, and the moderating effect of living only with child(ren) on the direct and indirect effects of parent neuroticism on parent distress. For parents living only with child(ren), high levels of psychological distress depended exclusively on their levels of neuroticism. For parents living with at least one other person in addition to child(ren), distress levels were also mediated by child behavioral and emotional difficulties. Motherhood emerged as a significant factor contributing to greater distress. Furthermore, parent psychological distress decreased in line with increased child age. The results confirm that neuroticism is an important risk factor for mental health. Preventive measures should be primarily target multicomponent families with younger children and directed towards parents who are already known to present emotional instability and to parents of children who have received local mental health assistance for behavioral and/or emotional difficulties.

1. Introduction

Following the uncontrolled and exceptional spread of COVID-19, the Italian government imposed a lockdown on the entire country on 9 March 2020. Similar to lockdowns in other countries, the Italian lockdown has exposed parents to a long and unexpected period of managing their children’s care and schooling at home, while also—for many—continuing to work remotely [1,2]. A recent review of the literature [3] highlighted that lengthy lockdowns may have a significant negative impact on mental health and well-being. In particular, studies have reported that a long duration of quarantine may increase psychological distress [4], depressive symptoms, stress, and anxiety [5,6,7]. A recent study [8] assessed the psychological impact of the COVID-19 lockdown in 2766 subjects from all regions of Italy, showing a high prevalence of psychological symptomatology. The findings underlined that female gender and the personality domains of negative affect and detachment were associated with higher levels of depression, anxiety, and stress. Furthermore, knowing someone who had been infected with COVID-19 was associated with increased levels of depression and stress, and a history of stressful situations and medical problems was associated with higher levels of depression and anxiety. Finally, persons with a family member who had been infected and young persons who were continuing to work outside the home reported higher levels of anxiety and stress, respectively.
Studies on the psychological effects of quarantine and lockdown measures during previous epidemics and pandemics (e.g., SARS, H1N1, Ebola, MERS, equine influenza) have shown that 30% of children and 25% of parents show high levels of psychological distress [9]. Furthermore, other research [10,11] has underlined that being a parent contributes to greater psychological distress during a lockdown or quarantine and that living with children is significantly associated with increased concern for personal and family health.
To the best of our knowledge, no prior study has investigated the mental health of parents during the COVID-19 lockdown. Nonetheless, recent commentaries [1,2] have highlighted the urgency of assessing the mental health of parents who, following the closure of schools, are forced to care for their children at home whilst also—in many cases—working remotely. In order to assess the mental health of parents during the present lockdown, we gave due consideration to the association between psychological distress and personality traits. The literature in this area shows that some personality features contribute to sensitive parenting, whereas other features are linked to less responsive parenting [12]. In particular, the dimension of neuroticism (also referred to as emotional stability) has received significant empirical attention. Studies have shown that parents with high neuroticism tend to show high psychological distress and anxiety, and to experience negative life events more severely [13,14]. Research on neuroticism has largely focused on mothers with depressive symptoms, highlighting that highly neurotic mothers tend to be less warm and sensitive [15,16,17,18] and more focused on themselves and their own distress, rather than their children’s needs [13,14].
Parental neuroticism has been shown to be associated with increased child mental health problems. Specifically, previous studies have found associations between parental neuroticism and abnormal emotional symptoms in younger children, conduct disorders in older children, and hyperactivity in children of all ages [19]. It is well known that families of children with disabilities or behavioral and emotional problems constantly struggle with the difficulties associated with managing these children’s issues. Recent studies [20,21,22] have shown that low socioeconomic status, a high burden of care, and a lack of psychological support can contribute to greater psychological distress among families. Indeed, high levels of psychological distress have been recorded among families of children with disabilities or behavioral and emotional problems [23], with the parents reporting high levels of stress and depression and difficult emotions, including anger, grief, guilt, and inadequacy [24,25]. Overall, neuroticism was found to predict child behavioral problems, both independently and as a mediator linked to parental depression. In turn, neuroticism was found to be significantly related to parental emotional response to children’s emotional and behavioral difficulties. Thus, parents with higher neuroticism may have reacted to children’s problems and needs with more negative emotionality and reported a higher level of psychological distress. Thus, more neurotic parents (especially mothers) experienced more malaise, had a less happy relationship with their child, which in turn expressed more behavioral problems. This in turn may have exaggerated their anxiety, depression and moodiness. Hence the concept of a vicious cycle [26].
The results of prior studies have also shown that the perceived social support was negatively associated with psychological distress among parents. Social support, indeed, may improve personal control (i.e., individuals’ beliefs regarding their ability to control their life situations), and in turn, improve mental health [27,28]. In line with this finding, O’leimat et al. [29] recently found that divorced parents of children with psychiatric disorder had significantly higher psychological distress than married parents: this outcome may be due to the fact that divorced parents usually have no psychological support from their partner, which might increase their distress. Given the lockdown suddenly imposed by the Italian Government, in the present study “people living with” was considered as a proxy variable to the social support, independently from the marital status or the kinship ties.
Starting from this evidence, the present study set out to test the following hypotheses:
Hypothesis 1:
Neuroticism would be positively related to distress in parents, even after controlling for parent age and parental role, income, and number of children, as well as child age. Higher levels of parent neuroticism would increase parent psychological distress during the lockdown.
Hypothesis 2:
Child hyperactivity–inattention and child emotional symptoms would mediate the relationship between parent neuroticism and parent psychological distress during the lockdown (simple mediational model), even after controlling for parent age and parental role, income, and number of children, as well as child age. We expected that higher levels of parent neuroticism would increase parent psychological distress during the lockdown, via greater child hyperactivity–inattention (2a) and more child emotional symptoms (2b).
Hypothesis 3:
Living only with child(ren) would moderate the positive relationship between parent neuroticism and parent psychological distress during the lockdown (3a), as well as the positive relationship between child hyperactivity–inattention (3b), child emotional symptoms (3c), and parent psychological distress during the lockdown (moderated mediation models). All these relations would be stronger for parents living only with child(ren).
Figure 1 shows the proposed moderated mediation model, in which both mediators were considered simultaneously.

2. Material and Methods

2.1. Procedures

A Qualtrics online survey was administered from 3 to 15 April 2020, 1 month after the initiation of the COVID-19 lockdown in Italy, which participants accessed via a designated link. The link was disseminated through the main means of communication and social networks, in order to reach a large number of parents, both mothers and fathers, indiscriminately. All participants voluntarily responded to the anonymous questionnaire and indicated their informed consent within. They did not receive any compensation for their participation, but it was specified that the results of the research would be made available upon request. Parents were asked to answer truthfully and referring to their own experience, in order to analyze how they were facing the challenges arising from the moment of health emergency they were experiencing in order to be able to promptly implement adequate support interventions. The procedures were clearly explained, and participants could interrupt or quit the survey at any point without explaining their reasons. The study was approved by the local ethics committee (Board of the Department of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University of Rome).

2.2. Participants

A total of 1180 parents participated in the survey. Inclusion criteria were: (a) parent aged 18 years or older, with (b) at least one child aged 3–13 years living with them during the lockdown. Participants with an incomplete questionnaire were excluded from the analyses (N = 247), as well as those who had a child under 3 years (N = 37) or over 13 years (N = 63). Hence, the final sample consisted of 833 parents: 736 mothers (88.4%) and 97 fathers (11.6%), aged 23–67 years (M = 40.61, SD = 6.3), living with one to six children (M = 1.83, SD = 0.75) aged 3–13 years (M = 7.57, SD = 3.2). Most of the sample (N = 325, 39%) had a high school diploma and were employed (N = 704, 84.5%). Of the total sample of parents, 38.1% reported that they were continuing to work remotely from home throughout the lockdown (N = 317), and 84.5% were spending the lockdown at home with their children as well as at least one other person (N = 704). More descriptive statistics, including all of the characteristics considered, are presented in Table 1.

2.3. Measures

In addition to a questionnaire designed to investigate demographic variables and factors related to the COVID-19 lockdown, the following measures were employed.
The 10-item Big Five Inventory (BFI-10) [30,31] was used to measure personality features. This is a 10-item scale designed to assess the Big Five dimensions (i.e., openness to experience, agreeableness, extroversion, emotional stability/neuroticism, conscientiousness). Each dimension is rated on a 5-point Likert scale ranging from 1 (totally disagree) to 5 (totally agree). On the basis of the literature, in the present study, we assessed the Emotional Stability/Neuroticism dimension (i.e., items 4 and 9) and its association with parent distress. It is worth noting that Emotional Stability dimension is defined as the opposite of Neuroticism (i.e., the tendency to experience negative affect). In our sample, internal consistency on the Emotional Stability/Neuroticism subscale was assessed using the Spearman–Brown coefficient (rs = 0.46), which performs better than Cronbach’s alpha in assessing the internal consistency of two-item subscales [32]. In the Italian validation of the BFI-10 [33], Spearman-Brown coefficients were found to be 0.50 or higher and thus considered acceptable, since each subscale consists of only two items [34].
The Strengths and Difficulties Questionnaire (SDQ) [35] was employed to assess hyperactivity–inattention and emotional symptoms among children. The SDQ is a multi-informant instrument for screening developmental psychopathology. Each subscale (Conduct Problems, Hyperactivity–inattention, Emotional Symptoms, Peer Problems) contains five items rated on a 3-point Likert scale ranging from 0 (not true) to 2 (certainly true). In the present study, the Hyperactivity–inattention and Emotional Symptoms subscales were used. These subscales were shown to have good internal consistency, with Cronbach’s alphas of 0.89 and 0.73, respectively [36]. In our sample, the subscales had internal consistency values of 0.76 and 0.70, respectively.
The General Health Questionnaire-12 (GHQ-12) [37] was adopted to detect minor psychiatric disorders. The GHQ-12 is a self-administered questionnaire to assess mental illnesses of a non-psychotic nature. It consists of 12 items measured on a 4-point Likert scale ranging from 1 (less than usual) to 4 (much more than usual). The GHQ-12 has been shown to be a reliable instrument, as indicated by a Cronbach’s alpha of 0.84 [38,39,40]. In our sample, the GHQ-12 obtained high reliability, with a Cronbach’s alpha of 0.84.

3. Statistical Analysis

The mediation and moderated mediation models were run using PROCESS Version 2 [41], as developed by Preacher and Hayes [42] for SPSS, version 25 (IBM, Armonk, NY, USA). Moderated mediation tests simple mediation models (i.e., to determine whether a given variable or mediator accounts for some or all of the relationship between two other variables) that may differ according to additional variables (e.g., when the mediation pathway is only present for individuals with higher/present or lower/absent levels of certain variables). PROCESS estimates indirect effects (i.e., mediation) and conditional indirect effects (i.e., moderated mediation) using bootstrap confidence intervals. In the present study, the bias-corrected 95% confidence interval (CI) was calculated with 5000 bootstrapping resamples. Effects were considered significant when the resulting confidence interval did not contain 0. All measures were treated as continuous variables except for the ordinal covariate “income” and the dummy covariate “living only with child(ren).” With respect to PROCESS Model Templates [41], we first tested a simple mediation model (Model 4) to explore whether the association between parent neuroticism and parent distress was mediated by child hyperactivity–inattention and child emotional symptoms. Next, we tested Model 15 to verify the moderated effect of living only with child(ren) on the direct and indirect effects of neuroticism on parent distress. Both models were tested after controlling for parent age and parental role, income, and number of children, as well as child age.

4. Results

Correlations among the variables are reported in Table 2. All significant correlations were in the expected directions. Of note, higher scores of BFI-10 Emotional Stability corresponded to lower levels of Neuroticism. Neuroticism was positively related to the outcome (rGHQ = −0.318) and to both mediators (rSDQ H-I = −0.195; rSDQ ES = −0.144), but not to living only with child(ren) (rpb = 0.003). The SDQ Hyperactivity–Inattention subscale was positively correlated with parent distress (rGHQ = 0.201) and not correlated with living only with child(ren) (rpb = 0.041). The same was true for the SDQ Emotional Symptoms subscale, which was positively correlated with parent distress (rGHQ = 0.259) and not correlated with living only with child(ren) (rpb = −0.017).

4.1. Mediation Test

We next tested the prediction concerning the link between parent neuroticism and parent distress and the prediction concerning the mediating role of child hyperactivity–inattention and child emotional symptoms. The total effect of neuroticism on distress (B = −0.899 [SE = 0.10] p < 0.001 [CI = −1.089, −0.709]) was significant. Furthermore, as shown in Table 3, the indirect effect of neuroticism on distress via child hyperactivity–inattention and child emotional symptoms was negative (−0.120), and the bootstrapped 95% CI did not include 0 [−0.182, −0.63].
Furthermore, the covariates “child age” and “parental role” showed a significant negative association with parent distress. The final mediation model explained 17% of the variance in parent distress. The direct effect of neuroticism explained 87.4% of the total effect on parent distress, whereas the indirect effects of the mediators were 4.6% and 8% for child hyperactivity–inattention and child emotional symptoms, respectively. Thus, Hypotheses 1 and 2 (a, b) were supported.

4.2. Moderated Mediation Test

Table 4 presents the results of the mediation analyses relating to the conditional direct and indirect effects. Hypothesis 3 further predicted that the strength of the direct (3a) and indirect effects of parent neuroticism on parent distress through child hyperactivity–inattention (3b) and child emotional symptoms (3c) would be conditional on living only with child(ren). The direct effect of parent neuroticism on parent distress was stronger for parents living only with child(ren) (β = −1.234 (SE = 0.23), 95% CI (−1.692, −0.775)), compared to those living with at least one other person (β = −0.665 (SE = 0.11), 95% CI (−0.871, −0.460)). Thus, hypothesis 3a was confirmed. The indirect effect of parent neuroticism on parent distress via child hyperactivity–inattention was significant only for parents living with at least one other person (β = −0.049 (SE = 0.02), 95% CI (−0.100, −0.005)). In contrast, for parents living only with child(ren), the indirect effect of parent neuroticism on parent distress via child hyperactivity–inattention was not significant (β = −0.014 (SE = 0.05), 95% CI (−0.109, 0.068)). The same pattern was found for the indirect effect of parent neuroticism on parent distress via child emotional symptoms: This was significant only for parents living with at least one other person (β = −0.093 (SE = 0.03), 95% CI (−0.151, −0.044)). In contrast, for parents living only with child(ren), the indirect effect of parent neuroticism on parent distress via child emotional symptoms was not significant (β = −0.011 (SE = 0.03), 95% CI (−0.069, 0.055)). Once again, the covariates “child age” and “parental role” showed significant negative associations with parent distress. Taken together, these results revealed that the indirect effect of parent neuroticism on parent distress via child hyperactivity–inattention and child emotional symptoms was significant only for parents living with child(ren) and at least one other person, disconfirming Hypotheses 3b and 3c. Figure 2 showed the simple slope analyses of the effect of living only with child(ren) on the relationship between parent distress and child hyperactivity–inattention (A) and emotional symptoms (B).

5. Discussion

The results of the present study highlighted that there is a positive relation between parent neuroticism and parent distress, after controlling for parent age, income, and number of children. Indeed, in support of our first hypothesis, high levels of parent neuroticism—characterized by patterns of worrying, nervousness, emotional instability, and feelings of inadequacy—have been found to increase parent psychological distress, mainly in terms of anxiety, depression, and social dysfunction [43]. In other words, parents who report high neuroticism may experience a wide array of negative emotions (e.g., anger, frustration) and cognitions (e.g., pessimism, perfectionism) and be more prone to developing non-specific psychological distress [44], anxiety and depression, supporting the results of Kotov, Gamez, Schmidt, and Watson’s [45] extensive meta-analysis and other longitudinal studies [46]. Neuroticism, indeed, is conceptualized as the trait that reflects individual differences in the experience and expression of negative emotion. It has also been defined in terms of its capacity to amplify (i.e., interact with) the negatively valenced emotional effects of stressors: For these reasons this trait has often been hypothesized to be a vulnerability for depression and other internalizing disorders [47]. Furthermore, the present findings support previous studies showing that parents with high levels of neuroticism tend to experience negative life events more severely [13,14].
It is well known that neuroticism makes parents more focused on themselves, less warm and sensitive towards their children, and less focused on their children’s needs [15,16,17,18]. Parental neuroticism has also been shown to be associated with increased child psychological problems [19]. Indeed, the children of neurotic parents tend to develop abnormal emotional symptoms, conduct disorders, and hyperactivity. Parental psychological distress has also been recorded among families of children with behavioral problems [23], with parents reporting high levels of stress and depression and negative emotions, including anger, grief, guilt, and inadequacy in their ability to manage their children’s difficulties [24,25]. Accordingly, our findings showed that child hyperactivity–inattention and child emotional symptoms increased psychological distress among parents during the lockdown, triggering a self-perpetuating cycle of the negative effects of neuroticism, confirming our second hypothesis.
With regards to our third hypothesis, interesting results emerged. Specifically, for parents living only with child(ren), the effect of neuroticism on their psychological distress was greater—almost double—than that experienced by parents living with at least one other person. In contrast, for parents living with at least one other person, the indirect effect of child hyperactivity–inattention and child emotional symptoms contributed to greater psychological distress, in association with their levels of neuroticism. In other words, while parents living only with child(ren) experienced high psychological distress as an exclusive function of their neuroticism, parents living with at least one other person had their distress mediated by their child’s behavioral and emotional difficulties. A possible explanation for this result, which ran contrary to our expectations, is that neurotic parents may have felt judged as inadequate and incompetent by the person(s) in their household when their children showed emotional and/or behavioral problems. Furthermore, conflicts between household members may have emerged in response to their management of their children’s emotional and/or behavioral problems.
Generally, our results showed that motherhood emerged as a significant factor contributing to greater distress. This finding, in line with previous studies, could be explained by two simultaneous factors: (a) the association between the female gender and increased psychological distress and internalizing symptoms and (b) the sociocultural relation of the maternal role to childcare [26,48,49,50]. Furthermore, when child age increased, parent psychological distress decreased. This may have been due to parents’ limited parenting competence and experience when children were young. Indeed, previous studies have shown that, as children age and become increasingly self-reliant, parents gain parenting knowledge and experience less parenting stress [51,52].

6. Conclusions

Overall, our findings confirm the importance of personality traits in psychological well-being, showing that neuroticism is an important risk factor for poor mental health, especially in the context of stressful situations, such as the COVID-19 outbreak. Support interventions should be immediately activated by mental health and social services for parents who are already known to exhibit emotional instability (e.g., parents who have confirmed this trait during child custody disputes), in order to prevent chronic and amplified negative manifestations, which may have a knock-on effect on children’s psychological health and a predictable return loop. Preventive measures should also be directed towards parents of children who have already received local mental health assistance for behavioral and/or emotional difficulties. These measures should primarily target multicomponent families with younger child(ren). Finally, although more difficult to implement, broad spectrum assessment should be undertaken to detect parents with a high level of neuroticism, in order to develop primary prevention actions [53].
The present study, with a large sample size and validated psychological measures employed, provides insight into the association between parent personality traits, parent distress, and child behavioral and emotional problems from an intergenerational perspective, in the context of great stress (e.g., the COVID-19 pandemic). Above all, it contributes to our understanding of the role of the household members, unexpectedly unsupportive with parents when there are children who exhibit emotional and behavioral difficulties. This finding could lead future research to investigate the role of other people in the household and assess the quality of the relationship between household members. Future study efforts could also explore the combined influence of parent psychological distress and parenting styles in the household, both on children wellbeing and attachment styles.
The main limitation of the research is that the sample was mainly composed of mothers, which reduces the generalizability of the findings to fathers. With respect to this latter limitation, the gender imbalance in the present study has been consistently demonstrated, reported, and addressed in previous research [54,55]. Furthermore, child behavioral and emotional functioning was not directly rated but rated by parents.

Author Contributions

Survey conception: P.R., M.C.V., D.M., L.F. Online questionnaire implementation: S.D.G., D.M., L.F. Data analysis: C.M. Data interpretation: all authors. Drafting of the manuscript: C.M., E.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Cluver, L.; Lachman, J.M.; Sherr, L.; Wessels, I.; Krug, E.; Rakotomalala, S.; Blight, S.; Hillis, S.; Bachman, G.; Green, O.; et al. Parenting in a time of COVID-19. Lancet 2020, 395, e64. [Google Scholar] [CrossRef]
  2. Wang, G.; Zhang, Y.; Zhao, J.; Zhang, J.; Jiang, F. Mitigate the effects of home confinement on children during the COVID-19 outbreak. Lancet 2020, 395, 945–947. [Google Scholar] [CrossRef]
  3. Brooks, S.K.; Webster, R.K.; Smith, L.E.; Woodland, L.; Wessely, S.; Greenberg, N.; Rubin, G.J. The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. Lancet 2020, 395, 912–920. [Google Scholar] [CrossRef] [Green Version]
  4. Hawryluck, L.; Gold, W.L.; Robinson, S.; Pogorski, S.; Galea, S.; Styra, R. SARS control and psychological effects of quarantine, Toronto, Canada. Emerg. Infect. Dis. 2004, 10, 1206–1212. [Google Scholar] [CrossRef] [PubMed]
  5. DiGiovanni, C.; Conley, J.; Chiu, D.; Zaborski, J. Factors influencing compliance with quarantine in Toronto during the 2003 SARS outbreak. Biosecur. Bioterror. 2004, 2, 265–272. [Google Scholar] [CrossRef] [PubMed]
  6. Holmes, E.A.; O’Connor, R.C.; Perry, V.H.; Tracey, I.; Wessely, S.; Arseneault, L.; Ballard, C.; Christensen, H.; Silver, R.C.; Everall, I.; et al. Multidisciplinary research priorities for the COVID-19 pandemic. A call for action for mental health science. Lancet Psychiatry 2020. [Google Scholar] [CrossRef]
  7. Jeong, H.; Yim, H.-W.; Song, Y.-J.; Ki, M.; Min, J.-A.; Cho, J.; Chae, J.-H. Mental health status of people isolated due to Middle East respiratory syndrome. Epidemiol. Health 2016, 38, e2016048. [Google Scholar] [CrossRef]
  8. Mazza, C.; Ricci, E.; Biondi, S.; Colasanti, M.; Ferracuti, S.; Napoli, C.; Roma, P. A nationwide survey of psychological distress among Italian People during the COVID-19 pandemic: Immediate psychological responses and associated factors. Int. J. Environ. Res. Public Health 2020, 17, 3165. [Google Scholar] [CrossRef]
  9. Sprang, G.; Silman, M. Posttraumatic stress disorder in parents and youth after health-related disasters. Disaster Med. Public Health Prep. 2013, 7, 105–110. [Google Scholar] [CrossRef]
  10. Maunder, R. The experience of the 2003 SARS outbreak as a traumatic stress among frontline healthcare workers in Toronto: Lessons learned. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2004, 359, 1117–1125. [Google Scholar] [CrossRef] [Green Version]
  11. Nickell, L.A.; Crighton, E.J.; Tracy, C.S.; Al-Enazy, H.; Bolaji, Y.; Hanjrah, S.; Hussain, A.; Makhlouf, S.; Upshur, R. Psychosocial effects of SARS on hospital staff: Survey of a large tertiary care institution. CMAJ 2004, 170, 793–798. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Belsky, J.; Barends, N. Personality and parenting. In Handbook of Parenting: Vol. 3. Being and Becoming a Parent, 2nd ed.; Bornstein, M.H., Ed.; Lawrence Erlbaum: Mahwah, NJ, USA, 2002; pp. 415–438. [Google Scholar]
  13. Smith, C.L. Multiple determinants of parenting: Predicting individual differences in maternal parenting behavior with toddlers. Parent. Sci. Pract. 2010, 10, 1–17. [Google Scholar] [CrossRef]
  14. Smith, C.L.; Spinrad, T.L.; Eisenberg, N.; Gaertner, B.M.; Popp, T.K.; Maxon, E. Maternal personality: Longitudinal associations to parenting behavior and maternal emotional expressions toward toddlers. Parent. Sci. Pract. 2007, 7, 305–329. [Google Scholar] [CrossRef] [PubMed]
  15. Belsky, J.; Crnic, K.; Woodworth, S. Personality and parenting: Exploring the mediating role of transient mood and daily hassles. J. Pers. 1995, 63, 905–929. [Google Scholar] [CrossRef]
  16. Clark, L.A.; Kochanska, G.; Ready, R. Mothers’ personality and its interaction with child temperament as predictors of parenting behavior. J. Pers. Soc. Psychol. 2000, 79, 274–285. [Google Scholar] [CrossRef]
  17. Kochanska, G.; Clark, L.A.; Goldman, M.S. Implications of mothers’ personality for their parenting and their young children’s developmental outcomes. J. Pers. 1997, 65, 387–420. [Google Scholar] [CrossRef]
  18. Losoya, S.H.; Callor, S.; Rowe, D.C.; Goldsmith, H.H. Origins of familial similarity in parenting: A study of twins and adoptive siblings. Dev. Psychol. 1997, 33, 1012–1023. [Google Scholar] [CrossRef]
  19. Amrock, S.M.; Weitzman, M. Parental psychological distress and children’s mental health: Results of a national survey. Acad. Pediatr. 2014, 14, 375–381. [Google Scholar] [CrossRef]
  20. Al-Sharbati, M.M.; Al-Farsi, Y.M.; Al-Sharbati, Z.M.; Al-Sulaimani, F.; Ouhtit, A.; Al-Adawi, S. Profile of Mental and Behavioral Disorders Among Preschoolers in a Tertiary Care Hospital in Oman: A Retrospective Study. Oman Med. J. 2016, 31, 357–364. [Google Scholar] [CrossRef]
  21. Jesmin, A.; Mullick, M.S.I.; Rahman, K.M.; Muntasir, M.M. Psychiatric Disorders in Children and Adolescents Attending Pediatric Out Patient Departments of Tertiary Hospitals. Oman Med. J. 2016, 31, 258–262. [Google Scholar] [CrossRef]
  22. Masulani-Mwale, C.; Kauye, F.; Gladstone, M.; Mathanga, D. Prevalence of psychological distress among parents of children with intellectual disabilities in Malawi. BMC Psychiatry 2018, 18, 146. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. O’Leimat, A.S.; Alhussami, M.; Rayan, A. The correlates of psychological distress among parents of children with psychiatric disorders. J. Child Adolesc. Psychiatr. Nurs. 2019, 32, 24–32. [Google Scholar] [CrossRef] [PubMed]
  24. Altindag, Ö.; Işcan, A.; Akcan, S.; Koksal, S.; Erçin, M.; Ege, L. Anxiety and depression levels in mothers of children with cerebral palsy. Turk. J. Phys. Med. Rehabil. 2007, 53, 22–24. [Google Scholar]
  25. Emerson, E.; Llewellyn, G. The mental health of Australian mothers and fathers of young children at risk of disability. Aust. N. Z. J. Public Health 2008, 32, 53–59. [Google Scholar] [CrossRef] [PubMed]
  26. Cheng, H.; Furnham, A. Correlates of maternal Emotional Stability: Findings from the Millennium Cohort Study. Pers. Individ. Differ. 2020, 164. [Google Scholar] [CrossRef]
  27. Uchino, N. Social support and health: A review of physiological processes potentially underlying links to disease outcomes. J. Behav. Med. 2006, 29, 377–387. [Google Scholar] [CrossRef]
  28. Mirowsky, J.; Ross, C.E. Social Causes of Psychological Distress, 2nd ed.; Routledge: London, UK, 2003. [Google Scholar]
  29. Peer, J.W.; Hillman, S.B. Stress and resilience for parents of children with intellectual and developmental disabilities: A review of key factors and recommendations for practitioners. J. Policy. Pract. Intellect. Disabil. 2014, 11, 92–98. [Google Scholar] [CrossRef] [Green Version]
  30. Rammstedt, B. The 10-item Big Five Inventory. Eur. J. Psychol. Assess. 2007, 23, 193–201. [Google Scholar] [CrossRef]
  31. Rammstedt, B.; John, O.P. Measuring personality in one minute or less: A 10-item short version of the Big Five Inventory in English and German. J. Res. Pers. 2007, 41, 203–212. [Google Scholar] [CrossRef]
  32. Eisinga, R.; Grotenhuis, M.T.; Pelzer, B. The reliability of a two-item scale: Pearson, Chronbach, or Spearman–Brown? Int. J. Public Health 2013, 58, 637–642. [Google Scholar] [CrossRef]
  33. Guido, G.; Peluso, A.M.; Capestro, M.; Miglietta, M. An Italian version of the 10-item Big Five Inventory: An application to hedonic and utilitarian shopping values. Pers. Individ. Differ. 2015, 76, 135–140. [Google Scholar] [CrossRef]
  34. Clark, L.A.; Watson, D. Constructing validity: Basic issues in objective scale development. Psychol. Assess. 1995, 7, 309–319. [Google Scholar] [CrossRef]
  35. Goodman, R. The Strengths and Difficulties Questionnaire: A research note. J. Child Psychol. Psychiatry 1997, 38, 581–586. [Google Scholar] [CrossRef] [PubMed]
  36. Marzocchi, G.M.; Di Pietro, M.; Vio, C.; Bassi, E.; Filoramo, G.; Salmaso, A. Il questionario SDQ: Strengths and Difficulties Questionnaire: Uno strumento per valutare difficoltà comportamentali ed emotive in età evolutiva [The SDQ questionnaire: Strengths and difficulties: A tool to evaluate behavioral and emotional difficulties in developmental age]. Diffic. Apprend. 2002, 8, 75–84. [Google Scholar]
  37. Goldberg, D.; Williams, P. A User’s Guide to the General Health Questionnaire; NFER-Nelson: Windsor, UK, 1988. [Google Scholar]
  38. Giorgi, G.; Leon Perez, J.M.; Castiello, D.; Antonio, A.; Fiz Perez, F.J.; Arcangeli, G. The General Health Questionaire (GHQ-12) in a Sample of Italian Workers: Mental Health at Individual and Organizational Level. World J. Med. Sci. 2014. [Google Scholar] [CrossRef]
  39. Piccinelli, M.; Bisoffi, G.; Bon, M.G.; Cunico, L.; Tansella, M. Validity and test–retest reliability of the Italian version of the 12-item General Health Questionnaire in general practice: A comparison between three scoring methods. Compr. Psychiatry 1993, 34, 198–205. [Google Scholar] [CrossRef]
  40. Piccinelli, M.; Politi, P. Struttura fattoriale della versione a 12 domande del General Health Questionnaire in un campione di giovani maschi adulti. Epidem. Psichiatr. Soc. 1993, 2, 173–181. [Google Scholar] [CrossRef]
  41. Hayes, A.F. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach; Guilford Press: New York, NY, USA, 2013. [Google Scholar]
  42. Preacher, K.J.; Hayes, A.F. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behav. Res. Methods Instrum. Comput. 2004, 36, 717–731. [Google Scholar] [CrossRef] [Green Version]
  43. Griffith, G.J.; Jones, K. Understanding the population structure of the GHQ-12: Methodological considerations in dimensionally complex measurement outcomes. Soc. Sci. Med. 2019, 243, 112638. [Google Scholar] [CrossRef]
  44. Tian, L.; Jiang, S.; Huebner, E.S. The big two personality traits and adolescents’ complete mental health: The mediation role of perceived school stress. Sch. Psychol. Q 2019, 34, 32–42. [Google Scholar] [CrossRef]
  45. Kotov, R.; Gamez, W.; Schmidt, F.; Watson, D. Linking “big” personality traits to anxiety, depressive, and substance use disorders: A meta-analysis. Psychol. Bull. 2010, 136, 768–821. [Google Scholar] [CrossRef] [PubMed]
  46. Klein, D.N.; Durbin, C.E.; Shankman, S.A. Personality and mood disorders. In Handbook of Depression; Gotlib, I.H., Hammen, C.L., Eds.; The Guilford Press: London, UK, 2009; Volume 2, pp. 93–112. [Google Scholar]
  47. Mineka, S.; Williams, A.L.; Wolitzky-Taylor, K.; Vrshek-Schallhorn, S.; Craske, M.G.; Hammen, C.; Zinbarg, R.E. Five-year prospective neuroticism-stress effects on major depressive episodes: Primarily additive effects of the general neuroticism factor and stress. J. Abnorm. Psychol. 2020. [Google Scholar] [CrossRef] [PubMed]
  48. Roma, P.; Ricci, F.; Kotzalidis, G.D.; Abbate, L.; Lavadera, A.L.; Versace, G.; Pazzelli, F.; Malagoli Togliatti, M.; Girardi, P.; Ferracuti, S. MMPI-2 in child custody litigation: A comparison between genders. Eur. J. Psychol. Assess. 2014, 30, 110–116. [Google Scholar] [CrossRef]
  49. Roma, P.; Piccinni, E.; Ferracuti, S. Using MMPI-2 in forensic assessment. Rass. Ital. Criminol. 2016, 10, 116–122. [Google Scholar]
  50. Mazza, C.; Burla, F.; Verrocchio, M.C.; Marchetti, D.; Di Domenico, A.; Ferracuti, S.; Roma, P. MMPI-2-RF profiles in child custody litigants. Front. Psychiatry 2019, 10. [Google Scholar] [CrossRef] [PubMed]
  51. Crnic, K.; Ross, E. Parenting stress and parental efficacy. In Parental Stress and Early Child Development: Adaptive and Maladaptive Outcomes; Deater-Deckard, K., Panneton, R., Eds.; Springer: Cham, Switzerland, 2017; pp. 267–280. [Google Scholar]
  52. Menon, M.; Fauth, R.C.; Easterbrooks, M.A. Exploring trajectories of young mothers’ parenting stress in early childhood: Associations with protective factors and psychological vulnerabilities. Parenting 2020, 1–29. [Google Scholar] [CrossRef]
  53. Fontanesi, L.; Marchetti, D.; Mazza, C.; Di Giandomenico, S.; Roma, P.; Verrocchio, M.C. The effect of the COVID-19 lockdown on parents: A call to adopt urgent measures. Psychol. Trauma 2020. [Google Scholar] [CrossRef]
  54. Saleh, A.; Bista, K. Examining factors impacting online survey response rates in educational research: Perceptions of graduate students. Online Submiss. 2017, 13, 63–74. [Google Scholar]
  55. Slauson-Blevins, K.; Johnson, K.M. Doing gender, doing surveys? Women’s gatekeeping and men’s non-participation in multi-actor reproductive surveys. Sociol. Inq. 2016, 86, 427–449. [Google Scholar] [CrossRef]
Ijerph 17 06236 g001 550
Figure 1. Proposed moderated mediation model.
Figure 1. Proposed moderated mediation model.
Ijerph 17 06236 g001
Ijerph 17 06236 g002 550
Figure 2. Simple slope analyses (A,B).
Figure 2. Simple slope analyses (A,B).
Ijerph 17 06236 g002
Table
Table 1. Descriptive statistics of parents.
Table 1. Descriptive statistics of parents.
CharacteristicGroupN (%)
Parental role
Mother736 (88.4)
Father97 (11.6)
Educational level
Primary school diploma3 (0.4)
Middle school diploma44 (5.3)
High school diploma325 (39)
Graduate274 (32.9)
Postgraduate187 (22.4)
Occupation
Unemployed129 (15.5)
Employed704 (84.5)
Income
Low (0–15,000)99 (11.9)
Medium–low (16,000–33,000)377 (45.3)
Medium–high (34,000–55,000)273 (32.8)
High (over 55,000)84 (10.1)
Citizenship
Italian818 (98.2)
Foreign15 (1.8)
Marital status
Unmarried26 (3.1)
Married614 (73.7)
Separated/Divorced68 (8.2)
Widower4 (0.5)
Cohabitant121 (14.5)
Living with
Only child(ren)129 (15.5)
Child(ren) and others704 (84.5)
Condition (home/work)
Must go to work127 (15.2)
Working from home317 (38.1)
Can stay home/work activity stopped389 (47.6)
Table
Table 2. Descriptive statistics and intercorrelations.
Table 2. Descriptive statistics and intercorrelations.
DimensionMSD12345
1. GHQ-1219.505.9-
2. BFI-10 Emotional Stability/Neuroticism6.342.0−0.318 **-
3. SDQ HYP3.232.40.201 **−0.195 **-
4. SDQ ES2.001.90.259 **−0.144 **0.298 **-
5. Living only with child(ren) ^--0.0270.0030.0410.017-
Notes. GHQ-12 = General Health Questionnaire-12; HYP = child hyperactivity–inattention; ES = child emotional symptoms. p < 0.01 **. ^ Point-biserial correlations were computed.
Table
Table 3. Simple mediation results (N = 833).
Table 3. Simple mediation results (N = 833).
PredictorsHYPESGHQ-12
β (SE) p β (SE) p β (SE) p
Independent variables
Neuroticism−0.205 (0.04)<0.001−0.129 (0.03)<0.001−0.779 (0.10)<0.001
HYP----0.206 (0.09)0.017
ES----0.600 (0.10)<0.001
Covariates
Parent age0.015 (0.02)0.358−0.007 (0.01)0.5770.055 (0.04)0.150
Parental role (ref. motherhood)−0.297 (0.03)0.245−0.453 (0.21)0.032−1.463 (0.60)0.015
Income−0.259 (0.10)0.010−0.193 (0.08)0.0210.231 (0.24)0.332
Child age−0.108 (0.03)0.0010.055 (0.03)0.035−0.177 (0.08)0.018
N° children0.077 (0.11)0.4860.071 (0.09)0.4390.471 (0.26)0.072
R20.060.040.17
F (df)9.447 (6826) ***6.073 (6826) ***20.965 (8824) ***
Bootstrap indirect effects on GHQ-12 GHQ-1295% CI
β (SE) LL UL
Total −0.120 (0.03) −0.182 −0.063
HYP −0.042 (0.02) −0.087 −0.004
ES −0.077 (0.02) −0.127 −0.034
Notes. HYP = child hyperactivity–inattention; ES = child emotional symptoms; GHQ-12 = General Health Questionnaire-12. Bootstrap sample size = 5000 (two-tailed); p < 0.001 ***.
Table
Table 4. Moderated mediation results (N = 833).
Table 4. Moderated mediation results (N = 833).
Predictorβ(SE)p95% CI
LLUL
Neuroticism−1.234 (0.23)<0.001−1.692−0.775
HYP0.070 (0.21)0.741−0.3430.483
ES0.083 (0.24)0.619−0.3930.559
Living only with child(ren)−5.118 (1.9)0.006−8.830−1.406
Neuroticism × Living only with child(ren)0.568 (0.26)0.0210.0671.070
HYP × Living only with child(ren)0.170 (0.23)0.459−0.2800.620
ES × Living only with child(ren)0.636 (0.27)0.0170.1131.159
Parent age0.058 (0.04)0.131−0.0170.132
Parental role (ref. motherhood)−1.468 (0.60)0.015−2.647−0.288
Income0.178 (0.24)0.460−0.2950.651
Child age−0.165 (0.08)0.028−0.312−0.018
N° children0.468 (0.26)0.073−0.0430.979
R20.18
F15.138 (12820) ***
Notes. HYP = child hyperactivity–inattention; ES = child emotional symptoms; GHQ-12 = General Health Questionnaire-12. Bootstrap sample size = 5000 (two-tailed); p < 0.001 ***.

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MDPI and ACS Style

Mazza, C.; Ricci, E.; Marchetti, D.; Fontanesi, L.; Di Giandomenico, S.; Verrocchio, M.C.; Roma, P. How Personality Relates to Distress in Parents during the Covid-19 Lockdown: The Mediating Role of Child’s Emotional and Behavioral Difficulties and the Moderating Effect of Living with Other People. Int. J. Environ. Res. Public Health 2020, 17, 6236. https://doi.org/10.3390/ijerph17176236

AMA Style

Mazza C, Ricci E, Marchetti D, Fontanesi L, Di Giandomenico S, Verrocchio MC, Roma P. How Personality Relates to Distress in Parents during the Covid-19 Lockdown: The Mediating Role of Child’s Emotional and Behavioral Difficulties and the Moderating Effect of Living with Other People. International Journal of Environmental Research and Public Health. 2020; 17(17):6236. https://doi.org/10.3390/ijerph17176236

Chicago/Turabian Style

Mazza, Cristina, Eleonora Ricci, Daniela Marchetti, Lilybeth Fontanesi, Serena Di Giandomenico, Maria Cristina Verrocchio, and Paolo Roma. 2020. "How Personality Relates to Distress in Parents during the Covid-19 Lockdown: The Mediating Role of Child’s Emotional and Behavioral Difficulties and the Moderating Effect of Living with Other People" International Journal of Environmental Research and Public Health 17, no. 17: 6236. https://doi.org/10.3390/ijerph17176236

APA Style

Mazza, C., Ricci, E., Marchetti, D., Fontanesi, L., Di Giandomenico, S., Verrocchio, M. C., & Roma, P. (2020). How Personality Relates to Distress in Parents during the Covid-19 Lockdown: The Mediating Role of Child’s Emotional and Behavioral Difficulties and the Moderating Effect of Living with Other People. International Journal of Environmental Research and Public Health, 17(17), 6236. https://doi.org/10.3390/ijerph17176236

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