Skip to main content
Cambridge University Press - PMC COVID-19 Collection logoLink to Cambridge University Press - PMC COVID-19 Collection
letter
. 2021 May 6:1–5. doi: 10.1017/S0033291721001987

Emotion regulation difficulties and interpersonal problems during the COVID-19 pandemic: predicting anxiety and depression

Ole André Solbakken 1,, Omid V Ebrahimi 1,2, Asle Hoffart 1,2, Jon T Monsen 1, Sverre Urnes Johnson 1,2
PMCID: PMC8144821  PMID: 33952356

The COVID-19 pandemic and social distancing protocols aimed to slow its transmission are having severe mental health consequences (Brooks et al., 2020; Ebrahimi, Hoffart, & Johnson, 2021; Hoffart, Johnson, & Ebrahimi, 2020; Holmes et al., 2020; Prati & Mancini, 2021; Salari et al., 2020; Xiong et al., 2020). Depending on peoples' typical ways of reacting to stressful circumstances, the pandemic will probably produce different mental health consequences. Among factors likely central to the exacerbation and persistence of psychological symptoms, personality-based processes such as difficulties in the experience and regulation of emotion (Solbakken, Hansen, & Monsen, 2011) and severity of interpersonal problems (Horowitz, Alden, Wiggins, & Pincus, 2000) are particularly salient candidates. Both factors are likely to be impacted by the pandemic and amelioration measures of societal lock-down and social distancing. As amelioration measures in turn are relaxed, this impact may presumably diminish, gradually returning these factors to pre-crisis levels. Difficulties in emotion regulation and interpersonal problems are, in turn, likely to predict symptoms of depression and anxiety throughout the pandemic and beyond, and early levels of these factors will presumably predict later developments in symptom status. Similarly, reductions in emotion regulation- and interpersonal difficulties during various phases of the outbreak will presumably coincide with reductions in psychological symptoms. Thus, emotion regulation difficulties and interpersonal problems are likely to be systematically predictive of the course of mental health problems during the pandemic.

In order to investigate this issue, we conducted an internet-based survey with 10 061 responders at time 1 (T1 – a period of strict social distancing protocols) and 4936 (49.1%) at time 2 (T2 – a period when the majority of distancing protocols were discontinued). We specifically investigated the following hypotheses:

Hypothesis 1 (H1): We postulate a significant decrease in emotion-regulation difficulties and interpersonal problems from T1 to T2.

Hypothesis 2 (H2): We postulate that the T1-level and changes from T1 to T2 in emotion-regulation difficulties and interpersonal problems will predict changes from T1 to T2 in anxiety and depression during the pandemic above and beyond other relevant factors such as age, gender, and education.

In terms of methodology, the study was a longitudinal, internet-based observational survey of the general adult Norwegian population during the COVID-19 pandemic with 10 061 responders at the height of lock-down (T1). After social distancing measures had been eased (T2), 4936 responders completed the survey again. Emotion regulation difficulties were assessed by a subset of items from the Difficulties in Emotion Regulation Scale (DERS). Interpersonal problems were assessed by a subset of items from the Inventory of Interpersonal Problems-64 (IIP). Symptoms of depression were assessed by The Patient Health Questionnaire-9 (PHQ-9). Symptoms of anxiety were assessed by The Generalized Anxiety Disorder-7 (GAD-7). Statistical analyses were performed by hierarchical linear mixed models (see online Supplementary materials for details).

See Table 1 for sample characteristics at T1/T2. Descriptive statistics for predictor and outcome variables at T1/T2 are displayed in Table 2. Models testing H1 showed significant time effects for emotion regulation difficulties, interpersonal problems, anxiety, and depression (see Table 3). Figure 1 displays the effect sizes of changes.

Table 1.

Demographic and social variables for the original sample at T1 and for the completer sample at T2

T1 T2
Characteristics No. % No. %
All participants 10 061 100 4936 100
Gender
Female 7851 78 3911 79
Male 2184 22 1010 21
Transgender 22 0 13 0
Intersex 4 0 2 0
Age groups (years)
18–30 4706 47 1711 35
31–44 2849 28 1610 33
45–64 2142 21 1347 27
65+ 364 4 268 5
Educational level
High school or lower 4417 44 2712 35
University degree 5644 56 3224 65
Partnership status
Unmarried and not in a civil union 5310 53 2337 47
Married or in a civil union 4751 47 2599 53
Employment status
Currently unemployed 1928 19 1156 23
Currently employed 8140 81 3780 77
Refugee status
Refugee 574 6 302 6
Not refugee 9487 94 4634 94
Children
Having children 4253 42 2420 49
Not having children 5808 58 2516 51
Psychological diagnosis
Having a diagnosis 1721 17 890 18
Not having a diagnosis 8340 83 4046 82
Living status
Living alone 1134 23
Living with others 4046 77
Home confinement
Mostly stayed home 7952 79 3892 79
Not mostly stayed home 2109 21 1044 21
Employment and COVID-19
Lost job due to COVID-19 1367 17 203 4
Not lost job due to COVID-19 8694 83 4733 96

Note. T1 = a period of 1 week (31st March to 7th April 2020) starting nearly 3 weeks after the implementation of strict social distancing protocols in Norway (12th March 2020). T2 = a period of 3 weeks (22nd June to 13th July 2020) starting 1 week after the strict social distancing protocols had been discontinued (15th June 2020).

Table 2.

Descriptive statistics for the predictor and outcome variables across time

T1 T2
Variable (range) M s.d. M s.d. r α
Emotion regulation difficulties (6–30) 12.64 4.30 12.22 4.27 0.73 0.75
Interpersonal problems (0–60) 22.92 9.21 22.53 9.65 0.80 0.82
Depression symptoms (0–27) 7.32 5.69 6.63 5.66 0.74 0.91
Anxiety symptoms (0–21) 5.55 4.62 4.66 4.37 0.69 0.90

Note. T1 = a period of 1 week (31st March to 7th April 2020) starting nearly 3 weeks after the implementation of strict social distancing protocols in Norway (12th March 2020). T2 = a period of 3 weeks (22nd June to 13th July 2020) starting 1 week after the strict social distancing protocols had been discontinued (15th June 2020).

r = Pearson's r; d = Cohen's d; α = Cronbach's α.

Table 3.

Fixed effects estimates (top) and variance-covariance estimates (bottom) for multilevel models of difficulties in emotion regulation, interpersonal problems, depressive symptoms, and anxiety symptoms from T1 to T2

DERS IIP PHQ-9 GAD-7
Estimate Estimate Estimate Estimate
Fixed effects
Intercept 12.64* (0.04) 22.92* (0.09) 7.61* (0.06) 5.73* (0.05)
Time −0.27* (0.04) −0.44* (0.08) −0.77* (0.06) −0.95* (0.05)
Estimate Estimate Estimate Estimate
Random effects
Variance intercept 13.36* (0.25) 69.59* (1.22) 23.83* (0.44) 13.85* (0.29)
Residual Tot/T1 5.03* (0.10) 15.18* (0.76) 8.51* (0.17) 7.52* (0.23)
Residual T2 20.40* (0.83) 5.23* (0.22)
AIC 82 542.82 104 477.2 90 835.14 84 793.99

DERS, difficulties in emotion regulation; IIP, overall interpersonal problems; PHQ-9, symptoms of depression; GAD-7, symptoms of anxiety; AIC, Akaike's information criterion.

Note. Standard errors are given in parenthesis. Estimations were performed by the method of maximum likelihood (ML). *p < 0.01. Tot = total residual in models with homoscedastic error covariance structures. T1 = a period of 1 week (31st March to 7th April 2020) starting nearly 3 weeks after the implementation of strict social distancing protocols in Norway (12th March 2020). T2 = a period of 3 weeks (22nd June to 13th July 2020) starting 1 week after the strict social distancing protocols had been discontinued (15th June 2020).

Fig. 1.

Fig. 1.

Effect sizes of changes from T1 to T2 in anxiety symptoms, depression symptoms, emotion regulation difficulties, and interpersonal problems. Note. T1 = a period of 1 week (31st March to 7th April 2020) starting nearly 3 weeks after the implementation of strict social distancing protocols in Norway (12th March 2020). T2 = a period of 3 weeks (22nd June to 13th July 2020) starting 1 week after the strict social distancing protocols had been discontinued (15th June 2020). d = Cohen's d.

Models testing H2 are shown in Tables 4 and 5. Addition of demographic variables and their interactions with time (model 1) showed that males, older persons, and the highly educated had lower depression at T1, males and older persons reported smaller reductions to T2. Similarly, males, older persons, and the highly educated had lower anxiety at T1, and males reported smaller reductions to T2.

Table 4.

Fixed effects estimates (top) and variance-covariance estimates (bottom) for predictive multilevel models of depressive symptoms (PHQ-9) from T1 to T2

Model 1 Model 2 Model 3 Model 4
Est. Est. Est. Est. t (df)
Fixed effects
Intercept 7.95* (0.06) 7.84* (0.05) 7.83* (0.05) 7.89* (0.05) 168.46 (12 488.75)
Time −0.88* (0.06) −0.90* (0.06) −0.99* (0.07) −0.78* (0.06) −12.01 (6501.68)
Age −0.11* (0.01) −0.04* (0.01) −0.04* (0.01) −0.03* (0.01) −9.79 (12 488.75)
Gender −1.57* (0.13) −1.07* (0.11) −1.07* (0.11) −1.20* (0.10) −11.74 (12 488.75)
Education −0.60* (0.05) −0.45* (0.05) −0.45* (0.05) −0.44* (0.05) −9.54 (12 488.75)
Time × Age 0.02* (0.01) 0.01* (0.01) 0.01* (0.01) 0.02* (0.01) 5.24 (6140.00)
Time × Gender 0.72* (0.14) 0.61* (0.13) 0.60* (0.14) 0.65* (0.13) 4.91 (6273.98)
Time × Education 0.04 (0.08) 0.06 (0.06) 0.05 (0.06) 0.08 (0.06) 1.36 (6317.98)
DERS T1 0.68* (0.01) 0.68* (0.01) 0.52* (0.02) 26.14 (12 488.75)
IIP T1 0.10* (0.01) 0.11* (0.01) 0.10* (0.01) 9.67 (12 488.75)
Time × DERS T1 −0.13* (0.02) −0.15* (0.02) −0.37* (0.02) −19.00 (5267.96)
Time × IIP T1 0.03* (0.01) 0.03* (0.01) −0.10* (0.01) −9.84 (5148.50)
Time × DERS T1 × IIP T1 0.01* (0.01) 0.01 (0.01) 1.25 (8210.69)
DERS T2 0.19* (0.02) 9.54 (12 488.75)
IIP T2 −0.01 (0.01) −0.57 (12 488.75)
Time × DERS T2 0.42* (0.02) 20.96 (5267.58)
Time × IIP T2 0.11* (0.01) 10.82 (5102.91)
Est. Est. Est. Est. Wald Z
Variance intercept 20.54* (0.39) 9.99* (0.25) 9.97* (0.25) 9.62* (0.24) 40.80
Residual 8.40* (0.17) 8.27* (0.16) 8.27* (0.16) 7.34* (0.15) 49.75
AIC 89 344.50 84 158.27 84 149.58 82 914.32

DERS, difficulties in emotion regulation; IIP, overall interpersonal problems; AIC, Akaike's information criterion.

Note. Standard errors and degrees of freedom are given in parenthesis. Estimations were performed by the method of maximum likelihood (ML) and with a homoscedastic error covariance structure. *p < 0.01. T1 = a period of 1 week (31st March to 7th April 2020) starting nearly 3 weeks after the implementation of strict social distancing protocols in Norway (12th March 2020). T2 = a period of three weeks (22nd June to 13th July 2020) starting 1 week after the strict social distancing protocols had been discontinued (15th June 2020). Degrees of freedom (df), t values, and Wald Z are given only for the final model.

Table 5.

Fixed effects estimates (top) and variance-covariance estimates (bottom) for predictive multilevel models of anxiety symptoms (GAD-7) from T1 to T2

Model 1 Model 2 Model 3 Model 4
Est. Est. Est. Est. t (df)
Fixed effects
Intercept 6.08* (0.05) 5.97* (0.04) 5.97* (0.04) 5.99* (0.04) 148.33 (10 035.00)
Time −1.01* (0.05) −1.03* (0.05) −1.10* (0.06) −0.94* (0.05) −17.43 (5972.01)
Age −0.06* (0.01) −0.01* (0.01) −0.01* (0.01) −0.01* (0.01) −4.90 (10 035.00)
Gender −1.67* (0.11) −1.15* (0.09) −1.15* (0.09) −1.15* (0.09) −13.06 (10 035.00)
Education −0.60* (0.05) −0.17* (0.04) −0.17* (0.04) −0.16* (0.04) −4.11 (10 035.00)
Time × Age −0.01 (0.01) −0.01 (0.01) −0.01 (0.01) 0.01 (0.01) 0.70 (5969.33)
Time × Gender 0.78* (0.12) 0.66* (0.12) 0.66* (0.12) 0.67* (0.11) 6.08 (5982.96)
Time × Education 0.05 (0.05) 0.01 (0.05) 0.01 (0.05) 0.04 (0.05) 0.71 (5984.17)
DERS T1 0.58* (0.01) 0.58* (0.01) 0.46* (0.02) 26.62 (10 035.00)
IIP T1 0.05* (0.01) 0.05* (0.01) 0.05* (0.01) 5.14 (10 035.00)
Time × DERS T1 −0.14* (0.01) −0.15* (0.01) −0.34* (0.02) −19.86 (5509.21)
Time × IIP T1 0.03* (0.01) 0.03* (0.01) −0.07* (0.01) −7.48 (5399.94)
Time × DERS T1 × IIP T1 0.01* (0.01) 0.01 (0.01) 1.34 (4921.00)
DERS T2 0.16* (0.02) 8.96 (10 035.00)
IIP T2 −0.01 (0.01) −0.65 (10 035.00)
Time × DERS T2 0.34* (0.02) 19.87 (5508.79)
Time × IIP T2 0.07* (0.01) 8.55 (5355.75)
Est. Est. Est. Est. Wald Z
Variance intercept 12.36* (0.27) 6.50* (0.18) 6.49* (0.18) 5.87* (0.16) 36.39
Residual T1 7.28* (0.23) 6.24* (0.18) 6.25* (0.18) 6.76* (0.17) 40.16
Residual T2 5.35* (0.22) 6.14* (0.19) 6.12* (0.19) 4.33* (0.16) 27.48
AIC 83 621.91 78 987.70 78 979.62 77 825.80

DERS, difficulties in emotion regulation; IIP, overall interpersonal problems; AIC, Akaike's information criterion.

Note. Standard errors and degrees of freedom are given in parenthesis. Estimations were performed by the method of maximum likelihood (ML) and a heteroskedastic error covariance structure. *p < 0.01. T1 = a period of 1 week (31st March to 7th April 2020) starting nearly 3 weeks after the implementation of strict social distancing protocols in Norway (12th March 2020). T2 = a period of 3 weeks (22nd June to 13th July 2020) starting 1 week after the strict social distancing protocols had been discontinued (15th June 2020). Degrees of freedom (df), t values, and Wald Z are given only for the final model.

The addition of initial emotion regulation difficulties, interpersonal problems, and interactions with time (model 2), showed that greater problem load in both domains was associated with more extensive anxiety and depression at T1. More extensive emotion regulation difficulties at T1 predicted greater reductions in both symptom domains, more extensive interpersonal problems did not.

Addition of three-way interactions between emotion regulation difficulties, interpersonal problems, and time (model 3), indicated that the effect of initial emotion regulation difficulties on symptom reduction was dependent on the level of interpersonal problems: more pervasive interpersonal problems reversed the effect of emotion regulation difficulties on symptom development.

The final step, adding T2 levels of the predictors (model 4) and their respective interactions with time, demonstrated that reductions in the predictor variables across time were strongly associated with reductions in symptoms.

Problem load in all of the examined domains was significantly reduced, but with minor effect sizes. Thus, vaccination, mass immunity, and subsequent return to normal daily life may not in and of themselves lead to the desired rapid improvement of mental health in the population. As expected, greater problem load in both predictor domains was associated with more anxiety- and depressive symptoms across time. Improvements in predictor domains were associated with symptom reduction. Thus, focused interventions that target these processes may help remediate the mental health strain of COVID-19.

Contrary to hypothesis, more extensive emotion regulation difficulties initially predicted greater symptom reduction, whereas the opposite was true for interpersonal problems. Thus, participants with more extensive emotion regulation difficulties became more similar to average responders in symptoms from T1 to T2, whereas those with more severe interpersonal problems became further removed from the average. We may speculate that those having greater difficulties tolerating unpleasant emotions were more negatively affected by the onset of the pandemic, and also experienced more relief when emotional pressures associated with COVID-19 somewhat dissipated with easing of social distancing protocols. Similarly, the negative effect of interpersonal problems on symptom improvement is meaningful, as entrenched, maladaptive interpersonal strategies presumably hinder constructive use of social contacts in the service of improving one's situation as social distancing was eased. These propositions are also consistent with the interaction between emotion regulation difficulties and interpersonal problems. In this case, additional relief afforded by reduced emotional pressure through eased amelioration measures for responders with low tolerance for emotions was offset by the presence of persistent maladaptive relational strategies. Our results suggest that poor tolerance of emotions and maladaptive relational strategies are targets of intervention worth pursuing for alleviating anxiety and depression during the pandemic.

Financial support

The study was in its entirety funded internally by the University of Oslo, Norway.

Supplementary material

For supplementary material accompanying this paper visit http://dx.doi.org/10.1017/S0033291721001987.

S0033291721001987sup001.docx (35.2KB, docx)

click here to view supplementary material

Conflict of interest

The authors declare no conflict of interest.

References

  1. Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020). The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. The Lancet, 395(10227), 912–920. doi: 10.1016/S0140-6736(20)30460-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Ebrahimi, O. V., Hoffart, A., & Johnson, S. U. (2021). Physical distancing and mental health during the COVID-19 pandemic: Factors associated with psychological symptoms and adherence to pandemic mitigation strategies. Clinical Psychological Science. 10.1177/2167702621994545 [DOI] [Google Scholar]
  3. Hoffart, A., Johnson, S. U., & Ebrahimi, O. (2020). Loneliness and social distancing during the COVID-19 pandemic: Risk factors and associations with psychopathology. PsyArXiv. doi: 10.31234/osf.io/j9e4q. [DOI] [PMC free article] [PubMed]
  4. Holmes, E. A., O'Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. The Lancet Psychiatry, 7, 547–560. doi: 10.1016/S2215-0366(20)30168-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Horowitz, L. M., Alden, L. E., Wiggins, J. S., & Pincus, A. L. (2000). Inventory of interpersonal problems (IIP-32/IIP-64). London: Psychological Corporation. [Google Scholar]
  6. Prati, G., & Mancini, A. (2021). The psychological impact of COVID-19 pandemic lockdowns: A review and meta-analysis of longitudinal studies and natural experiments. Psychological Medicine, 51(2), 201–211. doi: 10.1017/S0033291721000015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Salari, N., Hosseinian-Far, A., Jalali, R., Vaisi-Raygani, A., Rasoulpoor, S., Mohammadi, M., … Khaledi-Paveh, B. (2020). Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. Globalization and Health, 16(1), 57–57. doi: 10.1186/s12992-020-00589-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Solbakken, O. A., Hansen, R. S., & Monsen, J. T. (2011). Affect integration and reflective function: Clarification of central conceptual issues. Psychotherapy Research, 21(4), 482–496. doi: 10.1080/10503307.2011.583696. [DOI] [PubMed] [Google Scholar]
  9. Xiong, J., Lipsitz, O., Nasri, F., Lui, L. M., Gill, H., Phan, L., … McIntyre, R. S. (2020). Impact of COVID-19 pandemic on mental health in the general population: A systematic review. Journal of Affective Disorders, 277, 55–64. doi: 10.1016/j.jad.2020.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

For supplementary material accompanying this paper visit http://dx.doi.org/10.1017/S0033291721001987.

S0033291721001987sup001.docx (35.2KB, docx)

click here to view supplementary material


Articles from Psychological Medicine are provided here courtesy of Cambridge University Press

RESOURCES