Hostname: page-component-76fb5796d-wq484 Total loading time: 0 Render date: 2024-04-26T08:48:51.368Z Has data issue: false hasContentIssue false

Risk factors for prospective increase in psychological stress during COVID-19 lockdown in a representative sample of adolescents and their parents

Published online by Cambridge University Press:  03 May 2021

Kerstin Paschke*
Affiliation:
German Center for Addiction Research in Childhood and Adolescence, University Medical Center Hamburg-Eppendorf, Germany
Nicolas Arnaud
Affiliation:
German Center for Addiction Research in Childhood and Adolescence, University Medical Center Hamburg-Eppendorf, Germany
Maria Isabella Austermann
Affiliation:
German Center for Addiction Research in Childhood and Adolescence, University Medical Center Hamburg-Eppendorf, Germany
Rainer Thomasius
Affiliation:
German Center for Addiction Research in Childhood and Adolescence, University Medical Center Hamburg-Eppendorf, Germany
*
Correspondence: Kerstin Paschke. Email: k.paschke@uke.de
Rights & Permissions [Opens in a new window]

Abstract

Background

COVID-19 lockdown measures imposed extensive restrictions to public life. Previous studies suggest significant negative psychological consequences, but lack longitudinal data on population-based samples.

Aims

We aimed to prospectively identify increased psychological stress and associated risk factors in parent–child dyads.

Method

We conducted a prospective, observational online study on a representative German sample of 1221 adolescents aged 10–17 years and their parents. Psychological stress and psychosocial variables were assessed before the pandemic (baseline) and 1 month after the start of lockdown (follow-up), using standardised measures. We used multilevel modelling to estimate changes in psychological stress, and logistic regression to determine demographic and psychosocial risk factors for increased psychological stress.

Results

The time of measurement explained 43% of the psychological stress variance. Of 731 dyads with complete data, 252 adolescents (34.5%, 95% CI 31.0–37.9) and 217 parents (29.7%, 95% CI 26.4–33.0) reported a significant increase in psychological stress. Baseline levels were lower than in dyads without increased psychological stress. Risk factors for increased psychological stress included sociodemographic (e.g. female parents, severe financial worries) and emotion regulation aspects (e.g. non-acceptance of emotional responses in parents, limited access to emotion regulation strategies in adolescents), explaining 31% of the adolescent (Nagelkerke R2 = 0.31) and 29% of the parental (Nagelkerke R2 = 0.29) model variance.

Conclusions

This study is the first to prospectively show an increase in psychological stress during COVID-19 lockdown in a representative family sample. Identified demographic and psychosocial risk factors lead to relevant implications for prevention measures regarding this important public health issue.

Type
Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Royal College of Psychiatrists

The COVID-19 pandemic represents a major crisis that threatens physical and mental health. It places significant psychological burden on societies and individuals across the world.Reference Holmes, O'Connor, Perry, Tracey, Wessely and Arseneault1 In the first weeks of the pandemic, many countries adopted public measures based on social distancing, to slow down the human-to-human spread of the novel virus. In mid-March 2020, the German Government legislated the nationwide closure of schools, child care facilities, sports venues and public playgrounds, along with the imposition of massive contact restrictions (termed ‘lockdown’).Reference Röhr, Müller, Jung, Apfelbacher, Seidler and Riedel-Heller2 By that time, Europe was the epicentre of the pandemic. By mid-April, 977 569 cases and 84 607 COVID-19-associated deaths were reported in Europe. The most cases occurred in Spain (n = 172 541), Italy (n = 162 488) and Germany (n = 127 584). Among these countries, the death rate was lowest in Germany at that time (2.56%, compared with 12.97% in Italy and 10.46% in Spain).3 Case fatality rates could be shown to positively correlate with fear of the disease.Reference Fulawka, Lenda and Traczyk4 Besides fear of death, severe lifestyle transformations, including decreased social contacts and upended daily structures, were associated with higher depression and anxiety rates in adolescents.Reference Chen, Zheng, Liu, Gong, Guan and Lou5 This is supported by studies from previous virus outbreaks that indicate containment measures, such as quarantine, isolation and social distancing, can have extensive negative consequences for mental health.Reference Brooks, Webster, Smith, Woodland, Wessely and Greenberg6 Moreover, the resulting high-density conditions (i.e. household crowding) are known to be particularly stressful and even traumatising to a significant proportion of children and parents.Reference Röhr, Müller, Jung, Apfelbacher, Seidler and Riedel-Heller2,Reference Brooks, Webster, Smith, Woodland, Wessely and Greenberg6,Reference Solari and Mare7

Initial studies support the notion of the COVID-19 pandemic being perceived as a stressful experience on a population level.Reference Sprang and Silman8 One cross-sectional study identified 38% of the Italian general population as having experienced significant distress during early lockdown.Reference Moccia, Janiri, Pepe, Dattoli, Molinaro and De Martin9 Psychosocial conditions of children and their parents have long played a subordinate role in the public debate during the COVID-19 pandemic.Reference Holmes, O'Connor, Perry, Tracey, Wessely and Arseneault1,Reference Onyeaka, Zahid and Patel10 To the best of our knowledge, no studies are available that have investigated psychological stress before and during the COVID-19 pandemic in representative family samples. Although stress increase in populations facing large-scale stressful events seems to be self-evident, such an approach is necessary to better understand the effects of an event unpredictable in duration.Reference Holmes, O'Connor, Perry, Tracey, Wessely and Arseneault1,Reference Brooks, Webster, Smith, Woodland, Wessely and Greenberg6,Reference Onyeaka, Zahid and Patel10 Assessing the subjective appraisal of threatening or challenging events in light of available coping resources (individually perceived stress), rather than life events per se (objective stress), could be shown to be superior in terms of predicting health and health-related outcomes.Reference Cohen, Kamarck and Mermelstein11 Global stress perception thus depends on contextual and personal factors, such as gender; age; educational, economical and occupational background;Reference Vallejo, Vallejo-Slocker, Fernández-Abascal and Mañanes12 emotion regulation capabilitiesReference Wang and Saudino13 and parental self-efficacy.Reference Kliem, Kessemeier, Heinrichs, Döpfner and Hahlweg14

Aims

To better identify those particularly vulnerable and thus in need of future targeted preventive action, this study aimed to assess prospective levels and potential risk factors of psychological stress in adolescents and their parents, from the general population in Germany. We relied on standardised, longitudinal subjective ratings of psychological stress before and during the COVID-19 pandemic, and expected that (a) a relevant proportion of adolescents and/or parents will report an increase in psychological stress during COVID-19 lockdown compared with pre-COVID-19 pandemic baseline measures; and (b) increases in psychological stress can be predicted by a prespecified set of sociodemographic variables, such as gender and financial worries, as well as potentially modifiable family-related and stress coping-associated factors, such as emotional dysregulation and behavioural avoidance (i.e. procrastination).

Method

Participants and procedure

A representative sample of 1221 German adolescents aged between 10 and 17 years, and 1221 respective parents, were included in this observational study, using an online battery of questionnaires (N = 2242). Of those, 824 parent–child dyads (67.5%) consented to join the follow-up measurement (n = 1648). Representativity was assured in terms of proportions of gender, age and region of residence by using a random sampling method from the well-established German market research and opinion polling company forsa Gesellschaft für Sozialforschung und statistische Analysen mbH (for details see the study by Paschke et al,Reference Paschke, Austermann and Thomasius15 and Supplementary Methods and Supplementary Fig. 1 in Supplementary Appendix 1, available at https://doi.org/10.1192/bjo.2021.49). The baseline data was collected as part of a large online survey on psychological stress and media usage in families on a population basis, and supplemented by follow-up measurements at approximately half-year intervals. The first interim results of an ongoing longitudinal study are presented here. The observational period was set between 13 and 27 September 2019 for baseline, and between 20 and 30 April 2020 for the first follow-up assessment, 1 month after the start of the German COVID-19 lockdown.

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. All procedures involving humans were approved by the Local Psychological Ethics Committee of the University Medical Center Hamburg-Eppendorf (ethical approval number LPEK-0145). Informed consent was obtained from all participants.

Measures and outcome

We collected sociodemographic data on gender, age, place of residence, educational and first-generation migration background, parental partnership status and the number of underaged children in the household at baseline. Occupation (‘Which of the following descriptions of your occupation most closely applies to you?’ – example answers: ‘not employed’, ‘job-seeking’ versus ‘part-time employed’, ‘fully employed’), school attendance (‘What are you currently doing? Are you still in school, are you in training, are you employed or what else do you do?’) and financial worries (‘Which of the following statements about your financial situation applies most to you?’ – ‘I often worry about paying my bills’, ’ I/my child often have to do without something because I have to limit myself financially’ versus ‘I have enough money for everything I need’, ‘I have enough money to save something each month’) were measured by single items. Moreover, confidence in parenting was assessed with the validated nine-item Parental Self-efficacy Questionnaire (Fragebogen zur Selbstwirksamkeit in der Erziehung).Reference Kliem, Kessemeier, Heinrichs, Döpfner and Hahlweg14 Adolescents’ and parents’ emotion regulation problems were assessed by the short form of the Difficulties in Emotion Regulation Scale,Reference Kaufman, Xia, Fosco, Yaptangco, Skidmore and Crowell16 a standardised 18-item tool organized into six subscales (non-acceptance of emotional responses, lack of emotional clarity, difficulties engaging in goal-directed behaviour under unpleasant emotions, impulse control difficulties, limited access to emotion regulation strategies and [lack of] emotional awareness). Behavioural avoidance was measured with the four-item Procrastination Questionnaire for Students (Prokrastinationsfragebogen für Studierende).Reference Glöckner-Rist, Engberding, Höcker and Rist17 This questionnaire was initially validated in German university students via online questionnaire. Because of the simple item structure with a five-point Likert-scale response ((almost) never to (almost) always) and its relation to study assignments (e.g. ‘I put off starting tasks until the last moment’), it has been frequently applied to high school students in clinical settings. This is supported by an excellent internal consistency for the present adolescent sample (Cronbach's α = 0.90). Moreover, during follow-up, parents and adolescents were asked whether they mainly stayed at home during COVID-19 lockdown.

The change in psychological stress from baseline to follow-up measurement was the primary outcome assessed by the Perceived Stress Scale (PSS-4).Reference Cohen, Kamarck and Mermelstein11 This four-item instrument has been validated in large international samples,Reference Vallejo, Vallejo-Slocker, Fernández-Abascal and Mañanes12 including adolescents,Reference Cartwright, Wardle, Steggles, Simon, Croker and Jarvis18,Reference Demkowicz, Panayiotou, Ashworth, Humphrey and Deighton19 and was applied at baseline and follow-up. Participants rated how frequently they have appraised their life as unpredictable, uncontrollable and overloading within the previous month. Likert-scale responses were summed up to a score of 0–16, with higher scores indicating higher general stress. A score of ≥ 8 could be referred to as elevated.Reference Harrer, Adam, Baumeister, Cuijpers, Karyotaki and Auerbach20

Statistical analysis

Absolute and relative frequencies were computed together with 95% confidence intervals for categorial variables, and mean values with s.d. for metric variables. Sociodemographic and psychological characteristics of the baseline and the follow-up adolescent and parental sample were compared with χ 2- and t-tests for categorial/ metric variables, to account for the sample attrition. Equivalence testing was performed to compare mean baseline PSS-4 scores with the literature by calculating two one-sided tests (TOST; for a detailed description refer to the Supplementary Methods in Supplementary Appendix 1). To investigate the potential change of mean PSS-4 scores, paired-sample t-tests were computed. Effect sizes were calculated by Cohen's d for repeated measures (drm).

Pearson correlation tests were used for PSS-4 values of parents and adolescents at baseline and follow-up. Correlation values were statistically evaluated using a z-test and Cohen's q for effect size estimation.

PSS-4 values of adolescents and corresponding parents were estimated in a multilevel model, with the measurement time point as an independent variable. Random effects were accounted for by considering participants and their nesting within parent–child dyads. To reveal the effect of between-group variance resulting from measurements before and during the COVID-19 pandemic, the intraclass correlation coefficient was calculated.

Based on the individual's change in psychological stress, the samples of adolescents and parents were each divided into two groups: group 1 showed an increase in psychological stress by >3 points (1 s.d.) and group 2 showed no increase in psychological stress. The sociodemographic characteristics and total scores of the psychological measures for these groups were compared by χ 2- and t-tests (categorial/metric variables) and multivariate analysis of variance (psychometric variables), with separate post hoc Scheffé tests for adolescents and parents. Effect sizes were computed with Cramer's V (categorial variables) and Cohen's d (metric variables) for independent measures.

Logistic regression analyses were used to determine risk factors for increased psychological stress in adolescents and parents during COVID-19 lockdown, controlling for potential age and baseline psychological stress effects. Respectively, the sociodemographic and psychological baseline measures, time spent at home during COVID-19 lockdown and an increase in psychological stress (yes/no) of the corresponding parent/child were simultaneously entered into multivariate regression models, with age and PSS-4 baseline as covariates after dichotomising. Model reduction was performed by backwards elimination using the Akaike information criterion. Adjusted odds ratios were estimated based on the final model (for further details refer to the Supplementary Methods in Supplementary Appendix 1).

All statistical analyses were performed with the software package R version 4.0.2 for Windows.21

Results

Sample characteristics

A comparison between the baseline and follow-up sample, regarding sociodemographic factors and psychometric responses to account for potential attrition effects, did not reveal any significant differences (Supplementary Table 1 in Supplementary Appendix 1). Of the 824 dyads that participated in the baseline and the follow-up measurements, 731 sufficiently completed the PSS-4 and could be included in the family-based analyses (Supplementary Fig. 1 in Supplementary Appendix 1).

Table 1 shows the sample characteristics. The adolescent sample was 46.4% female. The adolescents’ mean age was 13.06 (s.d. 2.40). The adolescents showed mean PSS-4 values of 5.53 (s.d. 3.02) before the pandemic and 6.93 (s.d. 3.14) during COVID-19 lockdown. A paired t-test revealed a clinically significant increase in psychological stress in adolescents (t(823) = 11.44, P < 0.001, Cohen's drm = 0.41). The parental sample was 50.9% female. The parents’ mean age was 46.5 (s.d. 8.0). The parents showed mean PSS-4 values of 5.33 (s.d. 2.98) before the pandemic and 6.33 (s.d. 2.99) during COVID-19 lockdown. Comparable with the adolescents, a paired t-test showed a clinically significant increase in psychological stress in the parental sample (t(823) = 9.13, P < 0.001, Cohen's drm = 0.32).

Table 1 Sociodemographic sample description

a. No answer, n = 32.

b. No, special school (Förderschulabschluss) or lower school certificate (Hauptschulabschluss).

c. Secondary school certificate (Realschulabschluss) to university entry qualification (Abitur).

d. No answer, n = 1.

e. In voluntary service, apprenticeship, national service or job-seeking.

f. No answer, n = 1.

g. No or lower school certificate (Hauptschulabschluss).

h. Secondary school certificate (Realschulabschluss) to doctor's degree (PhD).

i. No answer, n = 2.

j. No answer, n = 4.

k. No answer, n = 9.

l. No answer, n = 1.

The parental PSS-4 baseline value was equivalent to the average score of large samples of 37 451 European participants (mean difference of 0.1, TOST 90% CI −0.08 to 0.28).Reference Kliem, Kessemeier, Heinrichs, Döpfner and Hahlweg14 The adolescent baseline score was 1.2 points lower than the PSS-4 total score of a large sample of 29 388 British adolescents (mean difference of 1.2, TOST 90% CI 1.01–1.39).Reference Paschke, Austermann and Thomasius15 A younger British sample showed an equivalent value (mean difference of 0.1, TOST 90% CI −0.17 to 0.23).Reference Kaufman, Xia, Fosco, Yaptangco, Skidmore and Crowell16 Please refer to the Supplementary Results in Supplementary Appendix 1 for further details.

Psychological stress before and during the pandemic

PSS-4 values of adolescents and their respective parents showed moderate correlations at baseline (r = 0.38, P < 0.001) and slightly higher (moderate) correlations at follow-up (r = 0.45, P < 0.001; comparison: z = 3.24, Cohen's q = 0.17). A multilevel analysis of the PSS-4 values of all participants, taking into account the parent–child dyads, revealed an intraclass correlation coefficient value of 0.43 (Supplementary Table 2 in Supplementary Appendix 1). This indicates that 43% of the PSS-4 variance is explained by the time of the measurement (follow-up 1 month after start of COVID-19 lockdown versus baseline 7 months earlier). The different trajectories of psychological stress development are visualised in Fig. 1.

Fig. 1 Multilevel analysis: trajectories of psychological stress before the COVID-19 pandemic and under lockdown measures. The individual trajectories of all adolescents and parents are shown, together with means and 95% confidence intervals of individuals belonging to the increased psychological stress group and non-increased psychological stress group, in reference to the two measurement points. The size of the dots reflects the group size. Accordingly, smaller dots represent the increased psychological stress group and larger dots represent the non-increased psychological stress group.

Adolescents

A total of 252 adolescents (34.47%, 95% CI 31.03–37.92) reported an increase in psychological stress from baseline to follow-up. These adolescents showed significantly lower PSS-4 values before the pandemic (4.36 v. 6.81, t(609.54) = −12.79, P < 0.001, d = 0.93) and significantly higher values during COVID-19 lockdown, compared with adolescents who did not experience increased stress (9.15 v. 6.22, t(537.48) = 14.46, P < 0.001, d = 1.10), with large effect sizes.

Parents

A total of 217 parents (29.69%, 95% CI 26.37–33.00) experienced an increase in psychological stress during COVID-19 lockdown. They showed significantly lower PSS-4 values before the pandemic (3.74 v. 6.00, t(546.91) = −11.13, P < 0.001, d = 0.80) and significantly higher values during COVID-19 lockdown (8.33 v. 5.51, t(427.98) = 13.41, P < 0.001, d = 1.06), compared with parents who did not experience increased stress, again with large effect sizes.

A detailed comparison on sociodemographic and psychological parameters, including results of the multivariate analyses of variance and post hoc tests (psychometric variables) between groups with and without increased psychological stress, can be found in Supplementary Appendix 1 (Supplementary Results and Supplementary Tables 3 and 4).

Risk factors for increase in psychological stress

Adolescents

Six out of fifteen predictors and the covariate baseline psychological stress (covariate age excluded) stayed in the logistic regression model after backwards elimination for the adolescents (Supplementary Table 5 in Supplementary Appendix 1). The remaining variables explained 31% of the final adolescent model variance (Nagelkerke R 2 = 0.31). Significant adolescent risk factors for increased psychological stress included financial worries (adjusted odds ratio 2.13, 95% CI 1.29–3.51), increased psychological stress of the corresponding parent (adjusted odds ratio 2.33, 95% CI 1.56–3.49), procrastination (adjusted odds ratio 2.10, 95% CI 1.27–3.48), limited access to emotion regulation strategies (adjusted odds ratio 2.01, 95% CI 1.21–3.35) and mainly staying at home during COVID-19 lockdown (adjusted odds ratio 1.65, 95% CI 1.08–2.50). High emotional awareness served as a protective factor for adolescents, with an adjusted odds ratio of 0.47 (95% CI 0.29–0.77).

Parents

Ten out of nineteen predictors and the two covariates (baseline psychological stress and age) stayed in the logistic regression model after backwards elimination for the parents (Supplementary Table 6 in Supplementary Appendix 1). The remaining variables explained 29% of the final parental model variance (Nagelkerke R 2 = 0.29). Significant parental risk factors for increased psychological stress could be identified, including female gender (adjusted odds ratio 1.86, 95% CI 1.29–2.76), partnership status (adjusted odds ratio 2.78, 95% CI 1.10–6.98), urban living (adjusted odds ratio 1.45, 95% CI 1.00–2.10), financial worries (adjusted odds ratio 1.86, 95% CI 1.08–3.19), increased psychological stress of the corresponding adolescent (adjusted odds ratio 1.59, 95% CI 1.09–2.33), procrastination (adjusted odds ratio 1.70, 95% CI 1.00–2.89) and non-acceptance of emotional responses (adjusted odds ratio 3.02, 95% CI 1.78–5.13).

All adjusted odds ratios are visualised in Fig. 2.

Fig. 2 Adjusted odds ratios with 95% confidence intervals for predictors of increased psychological stress during COVID-19 lockdown measures. The shaded area represents variables that were not assessed in the adolescent sample, and therefore could not be considered as predictors for the adolescent model. Adjusted odds ratio was according to the logistic regression model, with covariates of baseline stress level and age. Reduced logistic regression adolescent model: covariate baseline stress level odds ratio 0.62, 95% CI 0.57–0.68, P < 0.001. Reduced logistic regression parental model: covariate baseline stress level odds ratio 0.65, 95% CI 0.60–0.71, P < 0.001; covariate parental age odds ratio 1.02, 95% CI 0.99–1.04, P = 0.16. aAssessed with the Procrastination Questionnaire for Students (Prokrastionationsfragebogen für Studierende). bAssessed with the short form of the Difficulties in Emotion Regulation Scale. cAssessed with the Parenting Self-efficacy Questionnaire (Fragebogen zur Selbstwirksamkeit in der Erziehung). dAssessed with the Perceived Stress Scale (PSS-4). eNot included in final model after backwards elimination of predictors.

Discussion

To our knowledge, this is the first study to investigate psychological stress within a representative sample of adolescents and their parents during COVID-19 lockdown, compared with pre-COVID-19 conditions, in a longitudinal design. A total of 43% of the psychological stress variance in the parent–child dyads could be explained by the time of measurement (September 2019 versus April 2020). We found that about a third of the adolescents and parents showed a significant increase in psychological stress during COVID-19 lockdown. Although increased psychological stress seems to be a normal human reaction to the COVID-19 pandemic,Reference Brooks, Webster, Smith, Woodland, Wessely and Greenberg6 this finding appears meaningful from a public health perspective because psychological stress is a major predisposing factor for health problems, including (neuro-)psychiatric sequelae.Reference Davis, Holmes, Pietrzak and Esterlis22,Reference Troyer, Kohn and Hong23 This is of particular importance in adolescents, given their increased vulnerability to stress and psychopathology in a period of substantial neurobiological and psychological changes.Reference Grant, Compas, Thurm, McMahon, Gipson and Campbell24 The finding builds on initial cross-sectional studies from Germany,Reference Liu and Heinz25 ItalyReference Moccia, Janiri, Pepe, Dattoli, Molinaro and De Martin9 and China,Reference Wang, Pan, Wan, Tan, Xu and Ho26,Reference Qiu, Shen, Zhao, Wang, Xie and Xu27 showing that about a quarter of German, a third of Italian and up to half of Chinese adults reported feelings of mental distress during the initial stage of the COVID-19 pandemic.

Interestingly, baseline psychological stress level could be identified as a major factor that needs to be considered when investigating potential stress increase. Adolescents and parents who experienced a significant increase in psychological stress had lower baseline stress levels than those who did not experience increased psychological stress during COVID-19 lockdown. This might suggest that the latter group has better developed stress-coping mechanisms than those with lower baseline stress.Reference Glanz, Rimer and Viswanath28 On the other hand, albeit hypothetical at the present stage of research, COVID-19 lockdown consequences, such as school closures and home office implementation, might actually be stress-reductive among a subsample of adolescents and parents. Correspondingly, family cohesion and better family adjustment could be promoted, and school-related problems (like low academic achievement, experiencing social pressure or being bullied) might decrease.Reference Guessoum, Lachal, Radjack, Carretie, Minassian and Benoit29

Furthermore, this is the first study to prospectively identify sociodemographic, family-associated and psychological risk factors for increased psychological stress during COVID-19 lockdown in adolescents and their parents, controlling for potential age and baseline stress effects. The sociodemographic risk factors include parental female gender, urban living, parental partnership status, family's financial worries and the time adolescents spent at home during COVID-19 lockdown. A higher increase in psychological stress in mothers was about twice as likely over time. This is consistent with prior research,Reference Brooks, Webster, Smith, Woodland, Wessely and Greenberg6,Reference Moccia, Janiri, Pepe, Dattoli, Molinaro and De Martin9,Reference Liu and Heinz25,Reference Wang, Pan, Wan, Tan, Xu and McIntyre30 and could be related to gender-specific responses toward environmental stressors, the burden associated with additional role demands (e.g. regarding home schooling, psychological family support, economic and job-related aspects) and a higher vulnerability of women toward stress-related disorders.Reference Connor, Madhavan, Mokashi, Amanuel, Johnson and Pace31 In their recent review, Connor et al analysed health-related international public and governmental databases on severe acute respiratory syndrome (SARS) in 2003, Ebola virus disease in 2014, Zika virus disease in 2016 and COVID-19.Reference Connor, Madhavan, Mokashi, Amanuel, Johnson and Pace31 They found that women experience higher ‘caregiver burden’ and less access to the healthcare system during lockdowns, because of reduced social support, isolation and increased negative economic effects of the pandemic compared with men. Urban living – a mental health challengeReference Lecic-Tosevski32 – could be identified as a moderate risk factor for parental increase in psychological stress (adjusted odds ratio of 1.45). One interesting finding, standing in partial contradiction to prior literature, is the effect of partnership: although some publications do not suggest an effect of marriage status,Reference Brooks, Webster, Smith, Woodland, Wessely and Greenberg6,Reference Moccia, Janiri, Pepe, Dattoli, Molinaro and De Martin9 one study reported higher distress in multi-person compared with single-person households.Reference Wang, Pan, Wan, Tan, Xu and McIntyre30 In line with the latter, we could relate being in a partnership to almost three times higher odds for increased psychological stress in parents. Evidence from previous studies supports our finding, suggesting that containment-like measures under pandemic circumstances may create a highly stressful condition for families and children.Reference Huang and Zhao33 Although the majority of the German population was not under a mandated quarantine, 72% of our adolescent sample reported having spent most of their time at home during COVID-19 lockdown. These adolescents were 65% more likely to report an increase in psychological stress compared with adolescents that stated otherwise. Increased time at home, particularly under high-density conditions, is associated with a lack of physical activity and increased media use.Reference McCormick34 It is consequently a risk factor for reduced well-being, symptoms of psychological disorders such as anxiety and depression, and conduct problems, especially in low-income populations.Reference Evans and English35 Moreover, fear of socioeconomic deprivation during lockdown can cause psychological stress.Reference Brooks, Webster, Smith, Woodland, Wessely and Greenberg6 Low-income families may be threatened more existentially by COVID-19 lockdown-imposed consequences to their working lives. These considerations are in line with our finding that parents and adolescents with financial worries were 1.86 (parents) to 2.13 (adolescents) times more likely to experience an increase in psychological stress. Moreover, our results indicate significant family-related risk factors: significant associations between increased psychological stress of adolescents and the corresponding parent were found (adjusted odds ratio of 1.59 for parents, to 2.33 for adolescents). This is consistent with the repeatedly confirmed mediating influence of parent-based variables on psychological symptoms in children and adolescents.Reference Grant, Compas, Thurm, McMahon, Gipson and Campbell24

From a psychological perspective, problems in emotion regulation could be identified as risk factors of increased psychological stress. Adolescents with limited access to emotion regulation strategies were twice as likely to experience increased psychological stress, and parents with a low acceptance of emotional responses were three times as likely to experience increased psychological stress. Moreover, procrastination – an avoidance-based, short-term emotion regulation strategyReference Zhang, Liu and Feng36 – could be identified as a risk factor for adolescent (adjusted odds ratio of 2.10) and parental increased psychological stress (adjusted odds ratio of 1.70). In contrast, emotional awareness (the appraisal and recognition of one's own feelings) could be identified as a potentially modifiable psychological protective factor against increased psychological stress in adolescents (adjusted odds ratio of 0.47). Aside from external factors, cognitive appraisal processes determine whether and how much a situation is perceived as stressful, triggering coping strategies such as emotion regulation to reduce negative feelings.Reference Myruski, Denefrio and Dennis-Tiwary37 Considering intraindividual difficulties in emotion regulation can help to understand interindividual differences in psychological stress during COVID-19 lockdown measures, thereby providing potential anchors for prevention approaches at individual and family levels. These might include elements of established programs such as mindfulness-based cognitive therapy, dialectical behavioural therapy or acceptance-based behavioural therapy.Reference Moltrecht, Deighton, Patalay and Edbrooke-Childs38 Moreover, activity-based interventions, such as yoga, sports, play and creative arts, have been shown to improve mental health, and might be promising in providing helpful offers for adolescents to spend time outside the home without violating restriction rules.Reference Cahill, Egan and Seber39 Online interventions might be a useful new method to support mental health,Reference Harrer, Adam, Baumeister, Cuijpers, Karyotaki and Auerbach20 especially during a time where personal contacts are limited.

Strengths and limitations

The study has numerous strengths, including the use of prospective data with an assessment just before the pandemic and during COVID-19 lockdown; a large study population representative regarding gender (most of the studies available have included a significant higher proportion of female respondents), age and region of living; the data of parent–child dyads; information on potential risk factors before the COVID-19 pandemic and the variety of standardised subjective ratings to collect data on psychological stress and potential psychological risk factors. However, several limitations of this study need to be considered.

First, although sample representativity was warranted in terms of age, gender and place of residence, representativity in other respects might have been reduced because of the data collection procedure. In this respect, the sample only includes households with sufficient knowledge of the German language, so families with an immigrant background might not have been properly taken into account. In addition, around 5% of German households do not have internet accessReference statista40 and could not be included in this study. Moreover, although online questionnaires are highly valued for cost-effectiveness in large epidemiological studies, missing data is a common problem, especially when investigating dyads and children. Accordingly, 113 parent–child dyads had to be omitted from subsequent analysis, which might have decreased representativity. In addition, all participants were asked to complete the questionnaire independently, but the influence of others cannot be excluded.

Second, although our study revealed a significant increase in psychological stress in families on a population level, and identified risk factors during the first German COVID-19 lockdown, it could not explain the individual circumstances that may have preceded these increases. In fact, we cannot rule out the possibility that other factors or unknown third variables during the survey interval contributed to the variance in the prospective psychological stress change. Moreover, we cannot conclude on the individual factors that actually led to the observed increases in psychological stress, because of the restricted number of items in an online survey, such as the number of critical life events, family members affected by COVID-19 and lockdown-induced economic changes. This was not the primary aim of the study and is a complex issue, as research shows that youth stress responsiveness is a highly volatile construct, affected by numerous family-related, developmental and other biopsychosocial aspects.Reference Lippold, Davis, McHale, Buxton and Almeida41 Nevertheless, based on prior research, we can assume that the COVID-19 pandemic was a significant source of stressors in the current sample, allowing for conclusions on a population level.Reference Veer, Riepenhausen, Zerban, Wackerhagen, Puhlmann and Engen42 Finally, it should be kept in mind that the reported results are from an ongoing study. Thus, the added value of prospective studies by means of multiple measurement points has not yet been fully exploited.

Clinical relevance and future research

This prospective observational study is the first to report on the increase in psychological stress in adolescents and their parents, as well as associated demographic and psychosocial risk factors in a representative German family sample during COVID-19 lockdown, compared with pre-COVID-19 conditions. It thus adds knowledge to the current evidence base on the psychological impact of this worldwide pandemic. Our findings have several implications for clinicians, researchers, policy makers and social actors. As the COVID-19 pandemic continues, psychological stress and its corresponding threat to mental health should be of greater consideration among public health authorities. Besides protecting the population from the disease, adolescents and their parents – especially mothers – could benefit from targeted psychological stress prevention measures. The identification of sociodemographic, family-associated and potentially modifiable psychological risk factors, such as capacity for adaptive coping, provides decision makers with meaningful insights for public health action.

Future studies should focus on the detailed investigation of factors explaining individual increased psychological stress and resiliency. Although the present study could not identify adolescents’ age as a significant covariate regarding psychological stress, future research should investigate age aspects in more detail by including younger children and their parents. Moreover, cross-cultural studies should enhance knowledge on the comparability of the presented findings. Psychological stress variability during the course of the pandemic should be investigated by follow-up measurements.

Supplementary material

Supplementary material is available online at https://doi.org/10.1192/bjo.2021.49.

Data availability

The data that support the findings of this study are available from the corresponding author, K.P., upon reasonable request, after all results of the parent–child survey have been published.

Acknowledgements

We thank Dr Peter-Michael Sack for his support on preparing the manuscript, Dr Torsten Wüstenberg for valuable discussions on the initial data analysis strategies, and Milan Röhricht for his language-editing support.

Author contributions

K.P. and R.T. conceptualised and designed the study, and decided to publish the paper. K.P. performed the statistical analysis. All authors interpreted the data. K.P. drafted the manuscript, with support of N.A.. M.I.A. edited tables and figures and performed the final formatting. All authors critically revised the draft for important intellectual content. All authors agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All authors gave final approval for the article to be published.

Funding

The current study is part of a parent–child survey that was financially supported by the German health insurance company DAK Gesundheit. The funding was awarded to the German Center for Addiction Research in Childhood and Adolescence (K.P. and R.T.). The supporters had no role in the creation of the study design, data collection, data analysis, data interpretation or writing of the manuscript.

Declaration of interest

None.

References

Holmes, EA, O'Connor, RC, Perry, VH, Tracey, I, Wessely, S, Arseneault, L, et al. Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. Lancet Psychiatry 2020; 7(6): 547–60.CrossRefGoogle Scholar
Röhr, S, Müller, F, Jung, F, Apfelbacher, C, Seidler, A, Riedel-Heller, SG. Psychosoziale folgen von quarantänemaßnahmen bei schwerwiegenden coronavirus-ausbrüchen: ein rapid review. [Psychosocial impact of quarantine measures during serious coronavirus outbreaks: a rapid review]. Psychiatr Prax 2020; 47(4): 179–89.Google Scholar
World Health Organization (WHO). Coronavirus disease 2019 (COVID-19) Situation Report – 86. WHO, 2020 (https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200415-sitrep-86-covid-19.pdf?sfvrsn=c615ea20_6).Google Scholar
Fulawka, K, Lenda, D, Traczyk, J. Associations between case fatality rates and self-reported fear of neoplasms and circulatory diseases. Med Decis Making 2019; 39(7): 727–37.CrossRefGoogle ScholarPubMed
Chen, F, Zheng, D, Liu, J, Gong, Y, Guan, Z, Lou, D. Depression and anxiety among adolescents during COVID-19: a cross-sectional study. Brain Behav Immun 2020; 88: 36–8.CrossRefGoogle ScholarPubMed
Brooks, SK, Webster, RK, Smith, LE, Woodland, L, Wessely, S, Greenberg, N, et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet 2020; 395(10227): 912–20.CrossRefGoogle Scholar
Solari, CD, Mare, RD. Housing crowding effects on children's wellbeing. Soc Sci Res 2012; 41(2): 464–76.CrossRefGoogle ScholarPubMed
Sprang, G, Silman, M. Posttraumatic stress disorder in parents and youth after health-related disasters. Disaster Med Public Health Prep 2013; 7(1): 105–10.CrossRefGoogle ScholarPubMed
Moccia, L, Janiri, D, Pepe, M, Dattoli, L, Molinaro, M, De Martin, V, et al. Affective temperament, attachment style, and the psychological impact of the COVID-19 outbreak: an early report on the Italian general population. Brain Behav Immun 2020; 87: 75–9.CrossRefGoogle ScholarPubMed
Onyeaka, HK, Zahid, S, Patel, RS. The unaddressed behavioral health aspect during the coronavirus pandemic. Cureus 2020; 12(3): e7351.Google ScholarPubMed
Cohen, S, Kamarck, T, Mermelstein, R. A global measure of perceived stress. J Health Soc Behav 1983; 24(4): 385–96.CrossRefGoogle ScholarPubMed
Vallejo, MA, Vallejo-Slocker, L, Fernández-Abascal, EG, Mañanes, G. Determining factors for stress perception assessed with the Perceived Stress Scale (PSS-4) in Spanish and other European samples. Front Psychol 2018; 9: 37.CrossRefGoogle ScholarPubMed
Wang, M, Saudino, KJ. Emotion regulation and stress. J Adult Dev 2011; 18: 95103.CrossRefGoogle Scholar
Kliem, S, Kessemeier, Y, Heinrichs, N, Döpfner, M, Hahlweg, K. Der Fragebogen zur Selbstwirksamkeit in der Erziehung (FSW). [The Parenting Self-efficacy Questionnaire (FSW).] Diagnostica 2014; 60: 3545.CrossRefGoogle Scholar
Paschke, K, Austermann, MI, Thomasius, R. Assessing ICD-11 gaming disorder in adolescent gamers by parental ratings: development and validation of the Gaming Disorder Scale for Parents (GADIS-P). J Behav Addict [Epub ahead of print] 7 Jan 2021. Available from: https://doi.org/10.1556/2006.2020.00105.Google Scholar
Kaufman, EA, Xia, M, Fosco, G, Yaptangco, M, Skidmore, CR, Crowell, SE. The Difficulties in Emotion Regulation Scale Short Form (DERS-SF): validation and replication in adolescent and adult samples. J Psychopathol Behav Assess 2016; 38: 443–55.CrossRefGoogle Scholar
Glöckner-Rist, A, Engberding, M, Höcker, A, Rist, F. Prokrastinationsfragebogen für Studierende (PfS). [Procrastination Scale for Students.] In: Zusammenstellung sozialwissenschaftlicher Items und Skalen. [Summary of Items and Scales in Social Science.] GESIS, 2009 (https://doi.org/10.6102/ZIS140).Google Scholar
Cartwright, M, Wardle, J, Steggles, N, Simon, AE, Croker, H, Jarvis, MJ. Stress and dietary practices in adolescents. Health Psychol 2003; 22(4): 362–9.CrossRefGoogle ScholarPubMed
Demkowicz, O, Panayiotou, M, Ashworth, E, Humphrey, N, Deighton, J. The factor structure of the 4-item Perceived Stress Scale in English adolescents. Eur J Psychol Assess 2019; 36: 913–17.CrossRefGoogle Scholar
Harrer, M, Adam, SH, Baumeister, H, Cuijpers, P, Karyotaki, E, Auerbach, RP, et al. Internet interventions for mental health in university students: a systematic review and meta-analysis. Int J Methods Psychiatr Res 2019; 28(2): e1759.CrossRefGoogle ScholarPubMed
R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2019 (https://www.R-project.org/).Google Scholar
Davis, MT, Holmes, SE, Pietrzak, RH, Esterlis, I. Neurobiology of chronic stress-related psychiatric disorders: evidence from molecular imaging studies. Chronic Stress 2017; 1: 2470547017710916.CrossRefGoogle ScholarPubMed
Troyer, EA, Kohn, JN, Hong, S. Are we facing a crashing wave of neuropsychiatric sequelae of COVID-19? Neuropsychiatric symptoms and potential immunologic mechanisms. Brain Behav Immun 2020; 87: 34–9.CrossRefGoogle ScholarPubMed
Grant, KE, Compas, BE, Thurm, AE, McMahon, SD, Gipson, PY, Campbell, AJ, et al. Stressors and child and adolescent psychopathology: evidence of moderating and mediating effects. Clin Psychol Rev 2006; 26(3): 257–83.CrossRefGoogle ScholarPubMed
Liu, S, Heinz, A. Cross-cultural validity of psychological distress measurement during the coronavirus pandemic. Pharmacopsychiatry 2020; 53(5): 237–8.Google ScholarPubMed
Wang, C, Pan, R, Wan, X, Tan, Y, Xu, L, Ho, CS, et al. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int J Environ Res Public Health 2020; 17(5): 1729.CrossRefGoogle ScholarPubMed
Qiu, J, Shen, B, Zhao, M, Wang, Z, Xie, B, Xu, Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations. Gen Psychiatr 2020; 33(2): e100213.CrossRefGoogle ScholarPubMed
Glanz, K, Rimer, BK, Viswanath, K. Health Behavior and Health Education: Theory, Research, and Practice. John Wiley & Sons, 2008.Google Scholar
Guessoum, SB, Lachal, J, Radjack, R, Carretie, E, Minassian, S, Benoit, L, et al. Adolescent psychiatric disorders during the COVID-19 pandemic and lockdown. Psychiatry Res 2020; 291: 113264.CrossRefGoogle ScholarPubMed
Wang, C, Pan, R, Wan, X, Tan, Y, Xu, L, McIntyre, RS, et al. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain Behav Immun 2020; 87: 40–8.CrossRefGoogle ScholarPubMed
Connor, J, Madhavan, S, Mokashi, M, Amanuel, H, Johnson, NR, Pace, LE, et al. Health risks and outcomes that disproportionately affect women during the COVID-19 pandemic: a review. Soc Sci Med 2020; 266: 113364.CrossRefGoogle ScholarPubMed
Lecic-Tosevski, D. Is urban living good for mental health? Curr Opin Psychiatry 2019; 32(3): 204–9.CrossRefGoogle ScholarPubMed
Huang, Y, Zhao, N. Chinese mental health burden during the COVID-19 pandemic. Asian J Psychiatr 2020; 51: 102052.CrossRefGoogle ScholarPubMed
McCormick, R. Does access to green space impact the mental well-being of children: a systematic review. J Pediatr Nurs 2017; 37: 37.CrossRefGoogle ScholarPubMed
Evans, GW, English, K. The environment of poverty: multiple stressor exposure, psychophysiological stress, and socioemotional adjustment. Child Dev 2002; 3(4): 1238–48.CrossRefGoogle Scholar
Zhang, S, Liu, P, Feng, T. To do it now or later: the cognitive mechanisms and neural substrates underlying procrastination. Wiley Interdiscip Rev Cogn Sci 2019; 10(4): e1492.CrossRefGoogle ScholarPubMed
Myruski, S, Denefrio, S, Dennis-Tiwary, TA. Stress and emotion regulation. In The Oxford Handbook of Stress and Mental Health: 415. Oxford University Press, 2019.Google Scholar
Moltrecht, B, Deighton, J, Patalay, P, Edbrooke-Childs, J. Effectiveness of current psychological interventions to improve emotion regulation in youth: a meta-analysis. Eur Child Adolesc Psychiatry [Epub ahead of print] 27 Feb 2020. Available from: https://doi.org/10.1007/s00787-020-01498-4.Google Scholar
Cahill, SM, Egan, BE, Seber, J. Activity- and occupation-based interventions to support mental health, positive behavior, and social participation for children and youth: a systematic review. Am J Occup Ther 2020; 74(2): 7402180020.CrossRefGoogle ScholarPubMed
statista, . Share of households in Germany with internet access by 2020. statista, 2021 (https://de.statista.com/statistik/daten/studie/153257/umfrage/haushalte-mit-internetzugang-in-deutschland-seit-2002/).Google Scholar
Lippold, MA, Davis, KD, McHale, SM, Buxton, OM, Almeida, DM. Daily stressor reactivity during adolescence: the buffering role of parental warmth. Health Psychol 2016; 35(9): 1027–35.CrossRefGoogle Scholar
Veer, IM, Riepenhausen, A, Zerban, M, Wackerhagen, C, Puhlmann, LMC, Engen, H, et al. Psycho-social factors associated with mental resilience in the corona lockdown. Transl Psychiatry 2021; 11: 67.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Sociodemographic sample description

Figure 1

Fig. 1 Multilevel analysis: trajectories of psychological stress before the COVID-19 pandemic and under lockdown measures. The individual trajectories of all adolescents and parents are shown, together with means and 95% confidence intervals of individuals belonging to the increased psychological stress group and non-increased psychological stress group, in reference to the two measurement points. The size of the dots reflects the group size. Accordingly, smaller dots represent the increased psychological stress group and larger dots represent the non-increased psychological stress group.

Figure 2

Fig. 2 Adjusted odds ratios with 95% confidence intervals for predictors of increased psychological stress during COVID-19 lockdown measures. The shaded area represents variables that were not assessed in the adolescent sample, and therefore could not be considered as predictors for the adolescent model. Adjusted odds ratio was according to the logistic regression model, with covariates of baseline stress level and age. Reduced logistic regression adolescent model: covariate baseline stress level odds ratio 0.62, 95% CI 0.57–0.68, P < 0.001. Reduced logistic regression parental model: covariate baseline stress level odds ratio 0.65, 95% CI 0.60–0.71, P < 0.001; covariate parental age odds ratio 1.02, 95% CI 0.99–1.04, P = 0.16. aAssessed with the Procrastination Questionnaire for Students (Prokrastionationsfragebogen für Studierende). bAssessed with the short form of the Difficulties in Emotion Regulation Scale. cAssessed with the Parenting Self-efficacy Questionnaire (Fragebogen zur Selbstwirksamkeit in der Erziehung). dAssessed with the Perceived Stress Scale (PSS-4). eNot included in final model after backwards elimination of predictors.

Supplementary material: File

Paschke et al. supplementary material

Paschke et al. supplementary material

Download Paschke et al. supplementary material(File)
File 95.1 KB
Submit a response

eLetters

No eLetters have been published for this article.