Literature DB >> 33952356

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

Ole André Solbakken1, Omid V Ebrahimi1,2, Asle Hoffart1,2, Jon T Monsen1, Sverre Urnes Johnson1,2.   

Abstract

Entities:  

Year:  2021        PMID: 33952356      PMCID: PMC8144821          DOI: 10.1017/S0033291721001987

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


× No keyword cloud information.
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

T1T2
CharacteristicsNo.%No.%
All participants10 0611004936100
Gender
Female785178391179
Male218422101021
Transgender220130
Intersex4020
Age groups (years)
18–30470647171135
31–44284928161033
45–64214221134727
65+36442685
Educational level
High school or lower441744271235
University degree564456322465
Partnership status
Unmarried and not in a civil union531053233747
Married or in a civil union475147259953
Employment status
Currently unemployed192819115623
Currently employed814081378077
Refugee status
Refugee57463026
Not refugee948794463494
Children
Having children425342242049
Not having children580858251651
Psychological diagnosis
Having a diagnosis17211789018
Not having a diagnosis834083404682
Living status
Living alone113423
Living with others404677
Home confinement
Mostly stayed home795279389279
Not mostly stayed home210921104421
Employment and COVID-19
Lost job due to COVID-191367172034
Not lost job due to COVID-19869483473396

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

T1T2
Variable (range)Ms.d.Ms.d.rα
Emotion regulation difficulties (6–30)12.644.3012.224.270.730.75
Interpersonal problems (0–60)22.929.2122.539.650.800.82
Depression symptoms (0–27)7.325.696.635.660.740.91
Anxiety symptoms (0–21)5.554.624.664.370.690.90

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

DERSIIPPHQ-9GAD-7
EstimateEstimateEstimateEstimate
Fixed effects
Intercept12.64* (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)
EstimateEstimateEstimateEstimate
Random effects
Variance intercept13.36* (0.25)69.59* (1.22)23.83* (0.44)13.85* (0.29)
Residual Tot/T15.03* (0.10)15.18* (0.76)8.51* (0.17)7.52* (0.23)
Residual T220.40* (0.83)5.23* (0.22)
AIC82 542.82104 477.290 835.1484 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.

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.

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. Demographic and social variables for the original sample at T1 and for the completer sample at T2 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). Descriptive statistics for the predictor and outcome variables across time 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. 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, 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). 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 1Model 2Model 3Model 4
Est.Est.Est.Est.t (df)
Fixed effects
Intercept7.95* (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 × Age0.02* (0.01)0.01* (0.01)0.01* (0.01)0.02* (0.01)5.24 (6140.00)
Time × Gender0.72* (0.14)0.61* (0.13)0.60* (0.14)0.65* (0.13)4.91 (6273.98)
Time × Education0.04 (0.08)0.06 (0.06)0.05 (0.06)0.08 (0.06)1.36 (6317.98)
DERS T10.68* (0.01)0.68* (0.01)0.52* (0.02)26.14 (12 488.75)
IIP T10.10* (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 T10.03* (0.01)0.03* (0.01)−0.10* (0.01)−9.84 (5148.50)
Time × DERS T1 × IIP T10.01* (0.01)0.01 (0.01)1.25 (8210.69)
DERS T20.19* (0.02)9.54 (12 488.75)
IIP T2−0.01 (0.01)−0.57 (12 488.75)
Time × DERS T20.42* (0.02)20.96 (5267.58)
Time × IIP T20.11* (0.01)10.82 (5102.91)
Est.Est.Est.Est.Wald Z
Variance intercept20.54* (0.39)9.99* (0.25)9.97* (0.25)9.62* (0.24)40.80
Residual8.40* (0.17)8.27* (0.16)8.27* (0.16)7.34* (0.15)49.75
AIC89 344.5084 158.2784 149.5882 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 1Model 2Model 3Model 4
Est.Est.Est.Est.t (df)
Fixed effects
Intercept6.08* (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 × Gender0.78* (0.12)0.66* (0.12)0.66* (0.12)0.67* (0.11)6.08 (5982.96)
Time × Education0.05 (0.05)0.01 (0.05)0.01 (0.05)0.04 (0.05)0.71 (5984.17)
DERS T10.58* (0.01)0.58* (0.01)0.46* (0.02)26.62 (10 035.00)
IIP T10.05* (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 T10.03* (0.01)0.03* (0.01)−0.07* (0.01)−7.48 (5399.94)
Time × DERS T1 × IIP T10.01* (0.01)0.01 (0.01)1.34 (4921.00)
DERS T20.16* (0.02)8.96 (10 035.00)
IIP T2−0.01 (0.01)−0.65 (10 035.00)
Time × DERS T20.34* (0.02)19.87 (5508.79)
Time × IIP T20.07* (0.01)8.55 (5355.75)
Est.Est.Est.Est.Wald Z
Variance intercept12.36* (0.27)6.50* (0.18)6.49* (0.18)5.87* (0.16)36.39
Residual T17.28* (0.23)6.24* (0.18)6.25* (0.18)6.76* (0.17)40.16
Residual T25.35* (0.22)6.14* (0.19)6.12* (0.19)4.33* (0.16)27.48
AIC83 621.9178 987.7078 979.6277 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.

Fixed effects estimates (top) and variance-covariance estimates (bottom) for predictive multilevel models of depressive symptoms (PHQ-9) from T1 to T2 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. Fixed effects estimates (top) and variance-covariance estimates (bottom) for predictive multilevel models of anxiety symptoms (GAD-7) from T1 to T2 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.
  7 in total

1.  Affect integration and reflective function: clarification of central conceptual issues.

Authors:  Ole André Solbakken; Roger Sandvik Hansen; Jon Trygve Monsen
Journal:  Psychother Res       Date:  2011-06-28

2.  Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: a systematic review and meta-analysis.

Authors:  Nader Salari; Amin Hosseinian-Far; Rostam Jalali; Aliakbar Vaisi-Raygani; Shna Rasoulpoor; Masoud Mohammadi; Shabnam Rasoulpoor; Behnam Khaledi-Paveh
Journal:  Global Health       Date:  2020-07-06       Impact factor: 4.185

3.  The psychological impact of COVID-19 pandemic lockdowns: a review and meta-analysis of longitudinal studies and natural experiments.

Authors:  Gabriele Prati; Anthony D Mancini
Journal:  Psychol Med       Date:  2021-01-13       Impact factor: 7.723

4.  Loneliness and Social Distancing During the COVID-19 Pandemic: Risk Factors and Associations With Psychopathology.

Authors:  Asle Hoffart; Sverre Urnes Johnson; Omid V Ebrahimi
Journal:  Front Psychiatry       Date:  2020-11-20       Impact factor: 4.157

Review 5.  Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science.

Authors:  Emily A Holmes; Rory C O'Connor; V Hugh Perry; Irene Tracey; Simon Wessely; Louise Arseneault; Clive Ballard; Helen Christensen; Roxane Cohen Silver; Ian Everall; Tamsin Ford; Ann John; Thomas Kabir; Kate King; Ira Madan; Susan Michie; Andrew K Przybylski; Roz Shafran; Angela Sweeney; Carol M Worthman; Lucy Yardley; Katherine Cowan; Claire Cope; Matthew Hotopf; Ed Bullmore
Journal:  Lancet Psychiatry       Date:  2020-04-15       Impact factor: 27.083

6.  Impact of COVID-19 pandemic on mental health in the general population: A systematic review.

Authors:  Jiaqi Xiong; Orly Lipsitz; Flora Nasri; Leanna M W Lui; Hartej Gill; Lee Phan; David Chen-Li; Michelle Iacobucci; Roger Ho; Amna Majeed; Roger S McIntyre
Journal:  J Affect Disord       Date:  2020-08-08       Impact factor: 4.839

Review 7.  The psychological impact of quarantine and how to reduce it: rapid review of the evidence.

Authors:  Samantha K Brooks; Rebecca K Webster; Louise E Smith; Lisa Woodland; Simon Wessely; Neil Greenberg; Gideon James Rubin
Journal:  Lancet       Date:  2020-02-26       Impact factor: 79.321

  7 in total
  3 in total

1.  Depression and Perceived Social Support among Unemployed Youths in China: Investigating the Roles of Emotion-Regulation Difficulties and Self-Efficacy.

Authors:  Zhiya Hua; Dandan Ma
Journal:  Int J Environ Res Public Health       Date:  2022-04-13       Impact factor: 4.614

2.  Within- and across-day patterns of interplay between depressive symptoms and related psychopathological processes: a dynamic network approach during the COVID-19 pandemic.

Authors:  Omid V Ebrahimi; Julian Burger; Asle Hoffart; Sverre Urnes Johnson
Journal:  BMC Med       Date:  2021-11-30       Impact factor: 8.775

3.  Heterogeneity in mental health change during the COVID-19 pandemic in Germany: The role of social factors.

Authors:  Dorota Reis; Kai Krautter; Alexander Hart; Malte Friese
Journal:  Stress Health       Date:  2022-07-02       Impact factor: 3.454

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.