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Impact of COVID-19 on emotional and behavioral problems among preschool children: a meta-analysis

Abstract

The impact of the Coronavirus Disease 2019 (COVID-19) on society is continuous, resulting in negative psychological consequences. Given the vulnerability and sensitivity to the environment among preschool children, their emotional and behavioral problems deserve more attention. The current study aimed to explore the impact of the epidemic on preschool children’s mental health by determining the pooled prevalence of emotional and behavioral problems amidst the Coronavirus Disease 2019 pandemic and to reveal potential reasons for variations between studies. Published studies were searched in Embase, PubMed, ProQuest, PsycINFO, Web of Science, CNKI, and Wanfang. Based on the inclusion criteria outlined in this study, a total of 10 studies encompassing 38,059 participants were incorporated. Employing a random-effect model for estimating the prevalence of emotional and behavioral problems, the results revealed a pooled prevalence rate of 24.3% (95% CI, 0.15–0.38; I²=99.9%) among preschool children. This rate surpasses the pre-outbreak prevalence observed in different countries, signifying a detrimental influence of the epidemic on the mental well-being of preschoolers. Therefore, mental health care and recovery are essential for the vulnerable group during and after the public health crisis. Specific emotional and behavioral problems among preschool children are expected to be researched in the future to provide more targeted guidance for intervention.

Peer Review reports

Introduction

The COVID-19 outbreak was declared a global public health emergency on January 30, 2020, by the World Health Organization [1], which continues to have an impact worldwide to date. In the wake of the enforcement of global epidemic prevention measures, the profound ramifications of isolation and uncertainty have emerged as formidable threats to individuals’ mental well-being, intensifying emotional disturbances marked by heightened levels of anxiety, depression, and stress [2]. In infants and preschool children, the susceptibility to environmental exposures renders them more vulnerable to severe physical consequences of COVID-19, resulting in systemic disease with several internal organ involvements [3, 4]. Prolonged lockdown-induced isolation may also lead to early-life mental health challenges in children, particularly manifesting as emotional and behavioral problems [3, 5]. Emotional and behavioral problems include a wide range of atypical behavior deviating from social standards [6], such as anxiety disorders, disruptive disorders, and oppositional defiant disorders [7], which are common psychiatric disorders during early childhood [8]. However, most existing research focused on children and adolescents, neglecting preschool children. Comparison of the prevalence of emotional and behavioral problems among preschool children before and during the pandemic could scientifically and intuitively reveal the impact of the epidemic on children’s emotional and behavioral health. Thus, it is essential to conduct a meta-analysis to estimate the prevalence of emotional and behavioral problems among preschool children during the outbreak, which is helpful to the intervention for emotional and behavioral disorders.

Before the pandemic, the prevalence of emotional and behavioral problems among preschool children ranged from 6.9 to 14.7% in various countries [9, 10]. During the pervasive lockdown, evidence suggested that the prevalence significantly elevated in countries worldwide, reaching up to 73.6% [11]. The following risk factors could explain preschool children’s increased emotional and behavioral problems. Firstly, a long-term lack of outdoor exercise may lead to the decreased release of certain neurotransmitters [12], such as low levels of dopamine, serotonin, and adrenaline [13]. The function of emotion regulation in the brain is then adversely affected [14]. Therefore, reduced movement behavior during the lockdown could trigger preschool children’s negative emotions through neural mechanisms [15, 16]. Secondly, caregivers’ perceived economic and parenting stress could induce insensitive parenting practices and negative family atmospheres [17]. Given the strong dependence of preschool children on the family environment, reduced parent-child closeness [18] and negative parenting attitudes may cause increased emotional and behavioral problems [8]. Thirdly, the developmental characteristics of preschool children could exacerbate the effect of the above factors. Children’s advanced cognitive functions are still developing; they may have difficulty monitoring their behavioral performance and regulating their emotions [19], which could affect preschoolers’ social adjustment [20]. Consequently, preschool children are more susceptible to the external environment [21], especially when faced with deviant stimuli. As such, exposure to adversity in early life could affect children’s brain structure and function [22], particularly in emotion regulation [23]. Therefore, it is critical to pay attention to preschool children’s emotional behavioral problems during the epidemic.

Moreover, emotional disturbances and behavioral problems in early childhood may lead to other severe consequences, specifically in social-emotional development and academic achievement. On the one hand, regarding social-emotional development, most children with emotional and behavioral problems were found to co-occur with language deficits [24, 25]. Developmental language disorders have an adverse impact on children’s communication skills [26, 27], thereby negatively affecting their social adjustment and life satisfaction. As the vital interactors of preschool children, parents’ emotions and interaction patterns are also affected by children’s emotional and behavioral problems [28]. Besides, evidence suggested that emotional and behavioral problems could result in inappropriate self-esteem and self-concept [29], which could predict antisocial personality, deliberate self-harm, and psychiatric problems in adulthood [8]. On the other hand, concerning academic achievement, numerous studies have shown that children with emotional and behavioral problems are at high risk of academic failure [30, 31]. The possible mechanism is children’s reduced attention to school work and school absence [32]. More seriously, it could lead to more unemployment, jobs held for a short time, lower job status and income, and other lifelong effects [8]. During the critical period of physical and psychological alternations, the negative consequences of emotional and behavioral problems are irreversible and have lifelong effects. Since recovery and inspiration plans for emotional and behavioral problems are under consideration [33], specific and precise estimates of children’s emotional and behavioral problems during the pandemic are essential, especially for preschoolers.

A growing number of empirical studies have been conducted to examine the prevalence of emotional and behavioral problems among preschool children during the COVID-19 pandemic. However, the prevalence of emotional and behavioral problems reported in studies varied considerably, ranging from 9.3 to 73.6% [11, 34]. Nevertheless, a study has shown that changes in problematic behaviors and anxiety symptoms among preschoolers were not statistically significant between the pre-pandemic and post-pandemic [26]. It is clear that current findings on the prevalence of emotional and behavioral problems among preschool children are inconsistent.

Hence, there is a necessity to conduct a meta-analysis of the prevalence of emotional and behavioral problems among preschool children in the context of the COVID-19 pandemic. Currently, only one meta-analysis is conducted to integrate the prevalence of emotional and behavioral problems. However, the participants were focused on children and adolescents instead of preschool children. Additionally, the above study was performed before the COVID-19 pandemic [35]. It follows from the above that no meta-analysis of the prevalence of emotional and behavioral problems among preschool children during the outbreak has been undertaken.

Therefore, the current study aimed to estimate the pooled prevalence among preschool children aged six years and under during the COVID-19 pandemic, reflecting the psychological effect of COVID-19. Moreover, we also examined potential factors that may explain the heterogeneity between studies. As such, the findings of our studies help to understand the prevalence of emotional and behavioral problems among preschool children during the COVID-19 pandemic and provide more information for further intervention and recovery.

Method

Study design and search strategy

The current study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [36]. The study protocol was registered with the International Prospective Register of Systematic Reviews, PROSPERO (Protocol ID: CRD42022369811). As the current study exclusively utilized data from published studies and did not involve human or animal subjects, it fell outside the scope requiring ethical review.

Although emotional and behavioral problems contain multiple specific disorders, which are different clinically, most existing studies used comprehensive screening scales to evaluate children’s emotional and behavioral conditions due to the operational challenges of specific clinical screening during early childhood. The preliminary screening of emotional and behavioral problems could widely and conveniently reflect the psychological state of most preschoolers. Therefore, the current study chose emotional and behavioral problems as an indicator to reflect the epidemic’s impact on preschoolers. The search strategy in all databases included three themes: terms related to COVID-19, study population, and terms related to emotional and behavioral symptoms. The specific search terms were (‘COVID-19’ OR ‘SARS-CoV-2’) AND (‘child, preschool’ OR ‘pediatric’ OR ‘toddler’ OR ‘infant’) AND (‘emotional problem’ OR ‘behavioral problem’ OR ‘mental disorder’ OR ‘emotional and behavioral disorder’ OR ‘psychiatric’).

Data sources

Literature searches were systematically performed in Embase, PubMed, ProQuest, PsycINFO, Web of Science, CNKI, and Wanfang databases, covering the period from their inception to June 1, 2023, to retrieve relevant literature pertaining to our research topic. Two authors independently searched the database with the search strategies and performed a supplementary manual search according to the references of the included studies to ensure good coverage. A total of 2421 studies were identified in the initial search process, including 444 duplicated studies. The complete flowchart of the study was presented in Fig. 1.

Fig. 1
figure 1

Flow chart of study selection

Study selection

Considering the standard classification criteria across countries, the current study defines preschool children as children under 6 years old. Two authors autonomously screened studies based on the inclusion and exclusion criteria. The inclusion criteria included: (1) Cross-sectional or longitudinal study; (2) Studies measured preschool children’s emotional and behavioral problems with standardized assessment tools; (3) The participants were preschool children under 6 years or reported a separate prevalence at the age group; (4) Studies reported the rate or prevalence of emotional and behavioral problems; (5) Studies written in English or Chinese. The exclusion criteria included: (1) Qualitative studies, meta-analyses, reviews, editorials, case reports, or protocols; (2) Studies that did not provide the prevalence of emotional and behavioral problems or other necessary data; (3) Studies based on database analysis without human participants or participants did not meet the age criteria; (4) Studies focus on other types of mental problems; (5) Studies written in other languages.

Data extraction

Two authors extracted data independently, and discrepancies were resolved via consensus. Prevalence of emotional and behavioral problems and potential moderators were extracted. For longitudinal studies, waves measured during or after the COVID-19 pandemic were chosen for extraction. Standardized data extraction was conducted from each article: author, publication year, geographical region, study design, sample size, the age of participants, number of children with abnormal scores, assessment tools, cutoff scores, and the reported prevalence.

Quality and risk of Bias Assessment

The quality of each included study was assessed with the National Institute of Health Quality Assessment Tool for Observation Cohort and Cross-Sectional Studies [37] (Table 1 in Supplementary Material). The scoring criteria include sampling, objective outcome, exposure, and validity measures. If the answer is “yes”, the item is scored 1 point; if the answer is “no” “not clear” or “not applicable”, the item is scored 0 points. Studies were appraised as poor (total score < 4), fair (4  total score  6), or good (total score  7) methodological quality.

Data analysis

The statistical analyses were conducted in R-5.4.1 statistical software, using “meta”, “metaphor”, and “robvis” packages. Pooled prevalence estimates were calculated using the random-effect model, considering the heterogeneity between studies. Given the premise of normal distribution, Logit transformation was used as a method of estimating the prevalence. Study heterogeneity was examined using the Q and I² statistics, with forest plots to visualize the results of meta-analyses. I² statistical estimates ≥ 50% indicated considerable statistical heterogeneity [38], suggesting potential sources of heterogeneity should be explored.

Subgroup analyses and meta-regression analyses were used to explore potential sources of significant heterogeneity. We selected geographical regions and assessment tools as categorical moderators, and sample size as a continuous moderator to explain the heterogeneity. Publication bias was examined by visual inspection of funnel plot symmetry, and the Egger’s test was conducted to determine the statistical significance. Besides, a sensitivity test was used to examine the presence of specific studies causing heterogeneity by excluding one article in each turn.

Results

Characteristics of included studies

A total of 2421 studies were found in the initial search results, of which 444 were duplicates. Based on the title and abstract review, 159 full-text articles were retrieved to screen according to the inclusion criteria, and 10 non-overlapping studies were eligible for meta-analyses (Fig. 1). A total of 38,059 participants were included in studies, with a significant fluctuation of sample size between studies, from 61 to 16,094. The majority of studies were from East Asia (6 studies) [34, 39,40,41,42,43] with the rest of the studies from Europe (3 studies) [11, 44, 45] and North America (1 study) [46]. Nine studies were cross-sectional design, and one study was longitudinal design.

All studies investigated emotional and behavioral performance of preschool children through parent reports, using reliable and valid screening scales to measure emotional and behavioral problems in preschool children. The Strengths and Difficulties Questionnaire (SDQ) was used in five studies, the Preschool Pediatric Symptom Checklist (PPSC) and the Baby Pediatric Symptom Checklist (BPSC) were used in two studies, the Parent Symptom Questionnaire (PSQ) was used in two studies, and the Child Behavior Checklist (CBCL) was used once. The details of each included study were presented in Table 1.

Table 1 Characteristics of included studies

The pooled prevalence of emotional and behavioral problems

Based on 10 included studies, the pooled prevalence from a random-effect meta-analysis of ten studies revealed a pooled prevalence of 24.3% (95%CI, 0.15–0.38; Fig. 2). The result showed significant heterogeneity between studies (I²=99.9%, Q = 7617.9, p < 0.010).

Fig. 2
figure 2

The pooled prevalence of emotional and behavioral problems among preschool children during the COVID-19 pandemic

Subgroup analysis and meta-regression analysis

Given the significant heterogeneity, we conducted subgroup and meta-regression analyses based on the geographical region, assessment tools, and sample size. Two categorical moderators were both significant. The estimated prevalence of emotional and behavioral problems was 41.6% (95%CI, 0.17–0.71) in Western countries and 15.9% (95%CI, 0.13–0.19) in Eastern countries (Fig. 3). A meta-regression indicated significant differences between various study regions (p = 0.010). As for assessment, the estimated prevalence of studies using the PPSC (62.4%, 95%CI, 0.44–0.78) was significantly higher than that using the SDQ (13.2%, 95%CI, 0.10–0.17) and PSQ (17.4%, 95%CI, 0.17–0.18) (Fig. 4). A meta-regression indicated the moderating role of measuring tools is significant (p < 0.010). In terms of the continuous moderator, the meta-regression analysis indicated that the estimated prevalence of emotional and behavioral problems did not change with the sample size (p = 0.999).

Fig. 3
figure 3

Subgroup analysis of the prevalence of emotional and behavioral problems among preschool children in different regions

Fig. 4
figure 4

Subgroup analysis of the prevalence of emotional and behavioral problems among preschool children using different assessment tools

Quality assessment of the included studies

As for the study quality, the overall quality of the included studies is satisfactory. Seven studies are good quality, and only three studies are fair. Apart from items that were not applicable due to the study design, the most common risk is the description of statistical power or effect estimates. A bias graph of the percentage of the included studies in each risk is presented in Fig. 5.

Fig. 5
figure 5

Number and percentage of included studies in each risk of bias of the National Institute of Health Quality Assessment Tool

Publication bias

The visualization of publication bias was presented through the funnel plot (Fig. 6), which was slightly asymmetrical. More precisely, the Egger’s test indicated no significant publication bias (p = 0.811). As shown in the funnel plot, most of the scatters fall outside the triangular region, which is caused by the significant heterogeneity between studies.

Fig. 6
figure 6

Funnel plot of prevalence of emotional and behavioral problems among preschool children during the COVID-19 pandemic

Sensitivity analysis

Sensitivity analysis by excluding each study individually suggested that the current meta-analysis was relatively reliable and stable. No study showed a variation of heterogeneity of more than 2% (Fig. 1 in Supplementary Material).

Discussion

Prevalence of emotional and behavioral problems among preschool children

The current meta-analysis was the first to explore the impact of COVID on emotional and behavioral problems among preschool children. Across 38,059 participants, the pooled prevalence of emotional and behavioral problems is 24.3%. The current findings indicated a threefold increase in prevalence compared to the pre-pandemic, such as 6.9% in Swiss [9], 7.1% in Norwegian [47], 7.4% in Germany, [48] and 9.8% in China [49]. According to publication bias and sensitivity analysis results, the study presented good reliability and stability. Therefore, there is a significant negative effect of COVID-19 on children’s emotional and behavioral health, in line with several longitudinal studies [50, 51].

The physiological mechanisms and psychological mechanisms of the pandemic on preschool children’s emotions and behaviors could explain the increased prevalence. Concerning physiological mechanisms, the cerebral cortex and neural network connections develop rapidly during the preschool period, while the brain is susceptible to environmental exposure. The physiological effects of the epidemic include disruption of biological rhythms and lack of physical activity. The disruption of biological rhythm refers to periodic disturbances in physiological and behavioral expression, embodying dis-regulated sleep among preschool children during the lockdown [52, 53]. Besides, children experienced increased screen time, increased sedentary behavior, and reduced outdoor activity due to epidemic prevention and control [54, 55]. The disruption of rhythm and lack of exercise influence the function of neurotrophic factors and neurotransmitters. Lack of exercise reduces protein expression of brain-derived neurotrophic factor (BDNF), insulin-like growth factor 1 (IGF-1), and vascular endothelial growth factor (VEGF), and deficiency of these neurotrophic factors negatively affects synaptic plasticity and neuronal survival, which in turn affects emotional processing and state stability through multiple signal pathways [56]. Similarly, the secretion of neurotransmitters such as serotonin, dopamine, and norepinephrine, which regulate anxiety and depression, is reduced due to lack of exercise [13, 57]. As important hormones for emotion adjustment, the variation could reduce feelings of euphoria and happiness and even lead to altered brain functions in the regulation of emotion and cognition [57]. Consequently, children who experienced detrimental living changes are likely to develop emotional and behavioral problems and other adverse psychological outcomes [16, 58, 59]. For instance, a study found that excessive screen time could impair the nervous system [60], which was linked to unfavorable temperaments [61], such as inattention and irritability, thereby resulting in children’s emotional disturbances and behavioral problems. Secondly, with respect to psychological mechanisms, the negative thoughts among preschool children and family stress triggered by the lockdown could be possible reasons. On the one hand, preschoolers’ developing cognitive capacities make the cognitive and behavioral responses toward stressful events more intense and sensitive. Existing findings indicated that preschool children worried about getting sick and permanent change and became scared of the pandemic [62, 63]. The worries and fear could lead to increased arousal, including irritability, sleep disturbance, and difficulties regulating emotions [63]. Studies have shown that the younger generation exhibited lower resilience and adaptability in dealing with stressful events, facing challenges in adjusting to the lifestyle changes imposed by the epidemic [64]. Consequently, their mental health status merits careful consideration [65, 66]. However, it is essential to acknowledge that the perception of stressful events varies among individuals and may be influenced by factors such as temperament, personality, family atmosphere, and past experiences. For instance, individuals who perceive their environment as predictable and maintain dynamic confidence in stressful events exhibit heightened adaptive capabilities and are more likely to buffer against mental symptoms induced by the epidemic [67]. On the other hand, as the “cumulative stress” hypothesis explains, the effects of stress exposure in early life are cumulative, making individuals more vulnerable to mental disease [68, 69]. As the direct external environment for early development, family pressure could adversely affect children’s emotions and behaviors. Parents with healthy emotional and psychological states can buffer children’s stresses and help them manage their feelings [70]. On the contrary, parents’ perceived life stress significantly increased because of the lockdown, leading to negative parenting. Frequently use of negative parenting strategies could predict preschool children’s behavioral disorders [26, 71]. Studies also found that maternal mood and harsh parenting mediate the increase in emotional and behavioral problems [72, 73]. Therefore, risk factors related to the epidemic influence preschoolers’ emotions and behaviors through physiological and psychological mechanisms.

Prevalence of emotional and behavioral problems in different regions

In addition, the current study found that the potential sources of heterogeneity were study regions and measuring tools. The estimated prevalence in China was significantly lower than in Italy, Germany, and America. Consistent with the existing studies, a meta-analysis found that the prevalence of child posttraumatic stress disorder in China was significantly lower than the Italian and American estimates [74]. Firstly, the difference may be due to epidemic crisis degrees and prevention and control policies in different countries. Considering the data collection time, most of the included studies collected data after March 2020, with two studies in 2021. At that moment, the spread of the epidemic in China was contained generally, and people were gradually adapting to the prevention and control requirements [75, 76]. However, Western countries were faced with a critical period in fighting against the epidemic at that time, with broad and comprehensive social coverage. Accordingly, the perceived worry and stress could exacerbate emotional and behavioral problems. Thus, the phenomenon indirectly demonstrated the impact of the epidemic on the emotions and behaviors among preschool children. Secondly, society and cultural clusters could influence the discrepancy. A study indicated a social and cultural difference in the prevalence of parent-report emotional and behavioral problems among children and adolescents [77]. Specifically, under some cultural beliefs, people are reluctant to endorse mental diseases because of the fear of being regarded as abnormal. Besides, parents may be less sensitive to children’s emotional and behavioral changes in children during the outbreak, resulting in underreporting in China. Notably, the degree of the epidemic crisis elevated significantly in 2022 in China, followed by strict prevention and control policies. In contrast, most Western countries present satisfactory control of the epidemic currently. Further research should focus on the impact of more recent outbreaks on preschoolers’ development, and the findings may differ from the current findings.

Prevalence of emotional and behavioral problems using different assessment tools

Four screening scales were used in the included studies, which could be the cause of the heterogeneity. The results indicated a higher rate of emotional and behavioral problems in studies using PPSC than in the SDQ and PSQ. The composition and characteristics of different instruments may explain the result. Firstly, different ranges of abnormal behaviors covered by assessment tools could lead to heterogeneity. Although the CBCL has solid psychometric properties [78], the length of the instrument (100–119 items per form) places a burden on researchers. With 25 items in total, the SDQ is simple and convenient to assess and score, showing good reliability and validity [79, 80]. However, the CBCL is far more comprehensive than the SDQ. For instance, only one item on somatic complaints was included in the internalizing domain of the SDQ, while the CBCL includes a whole subscale of somatic complaints [81]. Therefore, the SDQ might omit common behavioral problems, resulting in a lower reporting rate. Similarly, the PSC shows reasonable specificity and sensitivity [82], while it is mainly used for screening attention deficit hyperactivity disorders. Thus, the scale is more reliable when measuring specific syndromes or difficulties. Several symptoms may be missed when measuring a wide range of emotional and behavioral disorders, resulting in a lower prevalence in the current study. Secondly, parent-report could be vulnerable to confounding factors. The new domain in the PPSC and BPSC, parenting challenges [83], may account for the high prevalence of emotional and behavioral problems. Although studies have shown that children’s emotional and behavioral problems could increase parenting stress [84], parenting stress could also be influenced by complex factors during the pandemic, such as unemployment and economic hardship. Accordingly, the reported prevalence of emotional and behavioral problems might be higher due to significant perceived parenting challenges. Thus, whether there is an actual difference in efficiency between these scales should be explored further.

Limitation

There are several limitations in the current study. Firstly, one critical limitation is that the number of included studies was relatively small and the majority of studies were conducted in China. Consequently, the combined prevalence and heterogeneity could be affected. Secondly, the lack of longitudinal studies makes it difficult to accurately determine whether the lockdown has a sustained impact on preschoolers’ emotional and behavioral problems. Thirdly, we found a substantial heterogeneity between studies. Although the heterogeneity could be explained by study regions and assessment tools, the above moderators should be further explored. Finally, screening for emotional and behavioral problems is broad, covering different abnormal psychological traits. Research on the epidemic’s impact on children’s psychological problems remains cursory in screening. There is a gap in exploring specific emotional and behavioral problems among preschoolers, such as anxiety, depression, aggression, and oppositional defiant disorder. Further empirical research and meta-analyses should be conducted on the effects of epidemic or environmental exposures on specific disorders, which could provide a more targeted reference to clinical intervention and recovery.

Conclusion

Overall, the meta-analysis suggested increased emotional and behavioral problems among preschool children during the COVID-19 pandemic, with an estimated prevalence of 24.3%. The combined prevalence of Western countries was significantly higher than Eastern countries. The findings indicated that preschool children’s emotional and behavioral problems should be attached to great importance after the epidemic. Accordingly, intervention and recovery should be carried out to improve preschool children’s mental health globally.

Data availability

The data that support the findings of the article are openly available at https://doi.org/10.7910/DVN/KIFDWR.

References

  1. Sohrabi C, Alsafi Z, O’Neill N, Khan M, Kerwan A, Al-Jabir A, Iosifidis C, Agha R. World Health Organization declares global emergency: a review of the 2019 novel coronavirus (COVID-19). Int J Surg. 2020;76:71–6.

    Article  PubMed  PubMed Central  Google Scholar 

  2. SeyedAlinaghi S, Karimi A, Shobeiri P, Nowroozi A, Mehraeen E, Afsahi AM, Barzegary A. Psychological symptoms of COVID-19 epidemic: a systematic review of current evidence. Psihologija. 2021;54(2):173–92.

    Article  Google Scholar 

  3. Mehraeen E, Oliaei S, SeyedAlinaghi S, Karimi A, Mirzapour P, Afsahi AM, Barzegary A, Vahedi F, Soleymanzadeh M, Behnezhad F, et al. COVID-19 in pediatrics: a systematic review of current knowledge and practice. Infect Disord Drug Targets. 2022;22(5):e290921196908.

    Article  CAS  PubMed  Google Scholar 

  4. Pashaei Z, SeyedAlinaghi S, Qaderi K, Barzegary A, Karimi A, Mirghaderi SP, Mirzapour P, Tantuoyir MM, Dadras O, Ali Z, et al. Prenatal and neonatal complications of COVID-19: a systematic review. Health Sci Rep. 2022;5(2):e510.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Kolcakoglu K, Yucel G. Anxiety and harmful oral habits in preschool children during the 2020 first-wave COVID–19 lockdown in Turkey. Dent Med Probl. 2021;58(4):433–9.

    Article  PubMed  Google Scholar 

  6. Briggs-Gowan MJ, Carter AS, Bosson-Heenan J, Guyer AE, Horwitz SM. Are infant-toddler social-emotional and behavioral problems transient? J Am Acad Child Adolesc Psychiatry. 2006;45(7):849–58.

    Article  PubMed  Google Scholar 

  7. Nuckols CC. The diagnostic and statistical manual of mental disorders,(DSM-5). Philadelphia: American Psychiatric Association 2013.

  8. Geddes JR, Andreasen NC. New Oxford textbook of psychiatry. Oxford University Press, USA; 2020.

  9. Stülb K, Messerli-Bürgy N, Kakebeeke TH, Arhab A, Zysset AE, Leeger-Aschmann CS, Schmutz EA, Meyer AH, Kriemler S, Jenni OG, et al. Prevalence and predictors of behavioral problems in healthy Swiss Preschool Children over a one year period. Child Psychiatry Hum Dev. 2019;50(3):439–48.

    Article  PubMed  Google Scholar 

  10. Kwon S, O’neill ME, Foster CC. The associations of Child’s clinical conditions and behavioral problems with parenting stress among families of preschool-aged children: 2018–2019 National Survey of Child Health. Children. 2022;9(2):241.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Oliva S, Russo G, Gili R, Russo L, Di Mauro A, Spagnoli A, Alunni Fegatelli D, Romani M, Costa A, Veraldi S. Risks and protective factors associated with mental health symptoms during COVID-19 home confinement in Italian children and adolescents: The# understandingkids study. Front Pead 2021:537.

  12. Wipfli B, Landers D, Nagoshi C, Ringenbach S. An examination of serotonin and psychological variables in the relationship between exercise and mental health. Scand J Med Sci Sports. 2011;21(3):474–81.

    Article  CAS  PubMed  Google Scholar 

  13. Mikkelsen K, Stojanovska L, Polenakovic M, Bosevski M, Apostolopoulos V. Exercise and mental health. Maturitas. 2017;106:48–56.

    Article  PubMed  Google Scholar 

  14. Lloyd BA, Hake HS, Ishiwata T, Farmer CE, Loetz EC, Fleshner M, Bland ST, Greenwood BN. Exercise increases mTOR signaling in brain regions involved in cognition and emotional behavior. Behav Brain Res. 2017;323:56–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. McArthur BA, Tough S, Madigan S. Screen time and developmental and behavioral outcomes for preschool children. Pediatr Res. 2022;91(6):1616–21.

    Article  PubMed  Google Scholar 

  16. Pfefferbaum B, Van Horn RL. Physical activity and sedentary behavior in children during the COVID-19 pandemic: implications for Mental Health. Curr Psychiatry Rep 2022:1–9.

  17. van den Heuvel MI, Vacaru SV, Boekhorst MG, Cloin M, van Bakel H, Riem MM, de Weerth C, Beijers R. Parents of young infants report poor mental health and more insensitive parenting during the first Covid-19 lockdown. BMC Pregnancy Childbirth. 2022;22(1):1–14.

    Google Scholar 

  18. Russell BS, Hutchison M, Tambling R, Tomkunas AJ, Horton AL. Initial challenges of caregiving during COVID-19: caregiver burden, mental health, and the parent–child relationship. Child Psychiatry Hum Dev. 2020;51(5):671–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Carlson SM, Wang TS. Inhibitory control and emotion regulation in preschool children. Cogn Dev. 2007;22(4):489–510.

    Article  Google Scholar 

  20. Zhu J, Xiao B, Hipson W, Yan C, Coplan RJ, Li Y. Social avoidance and social adjustment: the moderating role of emotion regulation and emotion lability/negativity among Chinese preschool children. Front Psychol. 2021;12:618670.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Pruss-Ustun A, Corvalán CF, Organization WH. Preventing disease through healthy environments: towards an estimate of the environmental burden of disease. World Health Organization; 2006.

  22. Stevens JS, van Rooij SJ, Jovanovic T. Developmental contributors to trauma response: the importance of sensitive periods, early environment, and sex differences. Behav Neurobiol PTSD 2016:1–22.

  23. Herringa RJ. Trauma, PTSD, and the developing brain. Curr Psychiatry Rep. 2017;19(10):1–9.

    Article  Google Scholar 

  24. Hollo A, Wehby JH, Oliver RM. Unidentified language deficits in children with emotional and behavioral disorders: a meta-analysis. Except Child. 2014;80(2):169–86.

    Article  Google Scholar 

  25. King-Dowling S, Missiuna C, Rodriguez MC, Greenway M, Cairney J. Reprint of co-occurring motor, language and emotional–behavioral problems in children 3–6years of age. Hum Mov Sci. 2015;42:344–51.

    Article  PubMed  Google Scholar 

  26. Sun J, Singletary B, Jiang H, Justice LM, Lin T-J, Purtell KM. Child behavior problems during COVID-19: associations with parent distress and child social-emotional skills. J Appl Dev Psychol. 2022;78:101375.

    Article  PubMed  Google Scholar 

  27. van den Bedem NP, Dockrell JE, van Alphen PM, Rieffe C. Emotional competence mediates the relationship between communication problems and reactive externalizing problems in children with and without developmental language disorder: a longitudinal study. Int J Environ Res Public Health. 2020;17(16):6008.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Sadowsky J. Madness in civilization: a Cultural history of insanity, from the Bible to Freud, from the madhouse to Modern Medicine by Andrew Scull. Bull Hist Med. 2017;91(1):126–7.

    Article  Google Scholar 

  29. Nourbakhsh SMK, Atamanesh M, Effatpanah M, Salehi M, Heidari M. The Association between behavioral problems with Self-Esteem and Self-Concept in Pediatric patients with thalassemia. Iran J Psychiatry. 2021;16(1):36.

    PubMed  PubMed Central  Google Scholar 

  30. Berchiatti M, Ferrer A, Badenes-Ribera L, Longobardi C. School adjustments in children with attention deficit hyperactivity disorder (ADHD): peer relationships, the quality of the student-teacher relationship, and children’s academic and behavioral competencies. J Appl School Psychol 2021:1–21.

  31. Kwon K, Kim E, Sheridan S. Behavioral competence and academic functioning among early elementary children with externalizing problems. School Psychol Rev. 2012;41(2):123–40.

    Article  Google Scholar 

  32. Mundy LK, Canterford L, Tucker D, Bayer J, Romaniuk H, Sawyer S, Lietz P, Redmond G, Proimos J, Allen N. Academic performance in primary school children with common emotional and behavioral problems. J Sch Health. 2017;87(8):593–601.

    Article  PubMed  Google Scholar 

  33. Organization WH. World mental health report: transforming mental health for all: executive summary. In: World mental health report: transforming mental health for all: executive summary edn.; 2022.

  34. Zhu Z, Zhang X, Xue H, Li H, Liu M, Li X. The associations between screen exposure and problems in emotion and behavior among Preschool Children——The moderating effect of Sleep Duration. J Shaanxi Xueqian Normal Univ 2021.

  35. Barkmann C, Schulte-Markwort M. Prevalence of emotional and behavioural disorders in German children and adolescents: a meta-analysis. J Epidemiol Community Health. 2012;66(3):194–203.

    Article  PubMed  Google Scholar 

  36. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9.

    Article  PubMed  Google Scholar 

  37. Lung NH, Institute B, Health NIo H, UDo, Services H. Study quality assessment tools: quality assessment tool for observational cohort and cross-sectional studies. In.; 2018.

  38. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA. Cochrane handbook for systematic reviews of interventions. Wiley; 2019.

  39. Wang P, Li W, Hu Y, Wang G, Jiang F, Chen J. Investigation on sleep problems and related factors in preschool children during home quarantine. Chin J Child Health Care. 2021;29(5):479.

    Google Scholar 

  40. Wang X, Du W, Zhang M. Investigation on screen time and psychosocial problems of preschoolers during the prevalence of COVID-19. China J Health Psychol 2021.

  41. Zhang X, Chen R. Psychological and behavioral problems of children aged 3–6 years during COVID-19. Health Med Res Pract 2022.

  42. Wang X, Yin G, Guo F. Variation in screen time before and after COVID-19 epidemic and its correlation with behavior problems among preschool children. Chin J Public Health. 2021;37(5):769–73.

    Google Scholar 

  43. Zhong H, Tang H, Meng H. Behavioral problems and its association with family factors of young children in home quarantine during the COVID-19 pandemic. Chin J Social Med 2021.

  44. Buechel C, Nehring I, Seifert C, Eber S, Behrends U, Mall V, Friedmann A. A cross-sectional investigation of psychosocial stress factors in German families with children aged 0–3 years during the COVID-19 pandemic: initial results of the CoronabaBY study. Child Adolesc Psychiatry Ment Health. 2022;16(1):37.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Conti E, Sgandurra G, De Nicola G, Biagioni T, Boldrini S, Bonaventura E, Buchignani B, Della Vecchia S, Falcone F, Fedi C. Behavioural and emotional changes during covid-19 lockdown in an Italian paediatric population with neurologic and psychiatric disorders. Brain Sci. 2020;10(12):918.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Hails KA, Petts RA, Hostutler CA, Simoni M, Greene R, Snider TC, Riley AR. COVID-19 distress, negative parenting, and child behavioral problems: the moderating role of parent adverse childhood experiences. Child Abuse Negl. 2022;130(Pt 1):105450.

    Article  PubMed  Google Scholar 

  47. Wichstrøm L, Berg-Nielsen TS, Angold A, Egger HL, Solheim E, Sveen TH. Prevalence of psychiatric disorders in preschoolers. J Child Psychol Psychiatry. 2012;53(6):695–705.

    Article  PubMed  Google Scholar 

  48. Wlodarczyk O, Pawils S, Metzner F, Kriston L, Wendt C, Klasen F, Ravens-Sieberer U. Mental Health problems among preschoolers in Germany: results of the BELLA Preschool Study. Child Psychiatry Hum Dev. 2016;47(4):529–38.

    Article  PubMed  Google Scholar 

  49. Han B, Huang H, Yao X, Li X, Li S, Yan H. Association of screen time with emotional and behavioral problems in preschool children. Chin J School Health 2019:1669–71.

  50. Dollberg DG, Hanetz-Gamliel K, Levy S. COVID-19, child’s behavior problems, and mother’s anxiety and mentalization: a mediated moderation model. Curr Psychol 2021:1–12.

  51. Rakickienė L, Jusienė R, Baukienė E, Breidokienė R. Pre-schoolers’ behavioural and emotional problems during the first quarantine due to COVID-19 pandemic: the role of parental distress and screen time. Psichologija. 2021;64:61–8.

    Article  Google Scholar 

  52. Clarke J, Kipping R, Chambers S, Willis K, Taylor H, Brophy R, Hannam K, Simpson SA, Langford R. Impact of COVID-19 restrictions on preschool children’s eating, activity and sleep behaviours: a qualitative study. BMJ open. 2021;11(10):e051497.

    Article  PubMed  Google Scholar 

  53. Reyes AN, Molina ML, Jansen K, De Lima Bach S, Do Amaral PL, Spessato BC. Silva RAd: biological rhythm and emotional and behavioral problems among schoolchildren in Southern Brazil. Chronobiol Int. 2019;36(3):353–9.

    Article  PubMed  Google Scholar 

  54. Kharel M, Sakamoto JL, Carandang RR, Ulambayar S, Shibanuma A, Yarotskaya E, Basargina M, Jimba M. Impact of COVID-19 pandemic lockdown on movement behaviours of children and adolescents: a systematic review. BMJ Global Health. 2022;7(1):e007190.

    Article  PubMed  Google Scholar 

  55. Sum KK, Cai S, Law E, Cheon B, Tan G, Loo E, Lee YS, Yap F, Chan JKY, Daniel M. COVID-19–Related life experiences, Outdoor Play, and long-term adiposity changes among preschool-and school-aged children in Singapore 1 Year after Lockdown. JAMA Pediatr. 2022;176(3):280–9.

    Article  PubMed  Google Scholar 

  56. Andersen SL. Sensitive periods of Brain Development and Preventive interventions. Volume 53. Springer International Publishing; 2022.

  57. Benca R, Duncan MJ, Frank E, McClung C, Nelson RJ, Vicentic A. Biological rhythms, higher brain function, and behavior: gaps, opportunities, and challenges. Brain Res Rev. 2009;62(1):57–70.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Tandon PS, Zhou C, Johnson AM, Gonzalez ES, Kroshus E. Association of children’s physical activity and screen time with mental health during the COVID-19 pandemic. JAMA Netw Open. 2021;4(10):e2127892–2127892.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Ueno C, Yamamoto S. The relationship between behavioral problems and screen time in children during COVID-19 school closures in Japan. Scandinavian J Child Adolesc Psychiatry Psychol. 2022;10(1):1–8.

    Google Scholar 

  60. Hoehe MR, Thibaut F. Going digital: how technology use may influence human brains and behavior. In.: Taylor & Francis; 2022.

  61. Sanders T, Parker PD, del Pozo-Cruz B, Noetel M, Lonsdale C. Type of screen time moderates effects on outcomes in 4013 children: evidence from the longitudinal study of Australian children. Int J Behav Nutr Phys Activity. 2019;16(1):1–10.

    Article  Google Scholar 

  62. Idoiaga Mondragon N, Berasategi Sancho N, Dosil Santamaria M, Eiguren Munitis A. Struggling to breathe: a qualitative study of children’s wellbeing during lockdown in Spain. Psychol Health. 2021;36(2):179–94.

    Article  PubMed  Google Scholar 

  63. Vasileva M, Alisic E, De Young A. COVID-19 unmasked: Preschool children’s negative thoughts and worries during the COVID-19 pandemic in Australia. Eur J Psychotraumatology. 2021;12(1):1924442.

    Article  Google Scholar 

  64. Schäfer SK, Sopp MR, Koch M, Göritz AS, Michael T. The long-term buffering effect of sense of coherence on psychopathological symptoms during the first year of the COVID-19 pandemic: a prospective observational study. J Psychiatr Res. 2022;153:236–44.

    Article  PubMed  PubMed Central  Google Scholar 

  65. Hu T, Zhang D, Yang Z. The relationship between attributional style for negative outcomes and depression: a meta-analysis. J Soc Clin Psychol. 2015;34(4):304.

    Article  Google Scholar 

  66. Stuijfzand S, Creswell C, Field AP, Pearcey S, Dodd H. Research Review: is anxiety associated with negative interpretations of ambiguity in children and adolescents? A systematic review and meta-analysis. J Child Psychol Psychiatry. 2018;59(11):1127–42.

    Article  PubMed  Google Scholar 

  67. Ranieri J, Guerra F, Cilli E, Caiazza I, Gentili N, Ripani B, Canzio M, Coletti E, Quassoni A, Niutta S. Buffering effect of e-learning on Generation Z undergraduate students: a cross-sectional study during the second COVID-19 lockdown in Italy. Mediterranean J Clin Psychol 2021, 9(2).

  68. Daskalakis NP, Oitzl MS, Schächinger H, Champagne DL, de Kloet ER. Testing the cumulative stress and mismatch hypotheses of psychopathology in a rat model of early-life adversity. Physiol Behav. 2012;106(5):707–21.

    Article  CAS  PubMed  Google Scholar 

  69. Nederhof E, Schmidt MV. Mismatch or cumulative stress: toward an integrated hypothesis of programming effects. Physiol Behav. 2012;106(5):691–700.

    Article  CAS  PubMed  Google Scholar 

  70. Courtney D, Watson P, Battaglia M, Mulsant BH, Szatmari P. COVID-19 impacts on child and youth anxiety and depression: challenges and opportunities. Can J Psychiatry. 2020;65(10):688–91.

    Article  PubMed  PubMed Central  Google Scholar 

  71. Oliveira T, Costa D, Alvim-Soares A, de Paula J, Kestelman I, Silva A, Malloy-Diniz L, Miranda D. Children’s behavioral problems, screen time, and sleep problems’ association with negative and positive parenting strategies during the COVID-19 outbreak in Brazil. Child Abuse Negl. 2022;130:105345.

    Article  CAS  PubMed  Google Scholar 

  72. Frigerio A, Nettuno F, Nazzari S. Maternal mood moderates the trajectory of emotional and behavioural problems from pre-to during the COVID-19 lockdown in preschool children. Eur Child Adolesc Psychiatry 2022:1–11.

  73. Wang P, Sun X, Li W, Wang Z, He S, Zhai F, Xin Y, Pan L, Wang G, Jiang F. Mental Health of parents and preschool-aged children during the COVID-19 pandemic: the mediating role of harsh parenting and child sleep disturbances. Front Psychiatry 2021, 12.

  74. Yang F, Wen J, Huang N, Riem MM, Lodder P, Guo J. Prevalence and related factors of child posttraumatic stress disorder during COVID-19 pandemic: a systematic review and meta-analysis. Eur Psychiatry. 2022;65(1):e37.

    Article  PubMed  PubMed Central  Google Scholar 

  75. Salzberger B, Glück T, Ehrenstein B. Successful containment of COVID-19: the WHO-Report on the COVID-19 outbreak in China. In., vol. 48: Springer; 2020: 151–153.

  76. Zhang S, Wang Z, Chang R, Wang H, Xu C, Yu X, Tsamlag L, Dong Y, Wang H, Cai Y. COVID-19 containment: China provides important lessons for global response. Front Med. 2020;14(2):215–9.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Rescorla LA, Althoff RR, Ivanova MY, Achenbach TM. Effects of society and culture on parents’ ratings of children’s mental health problems in 45 societies. Eur Child Adolesc Psychiatry. 2019;28(8):1107–15.

    Article  PubMed  Google Scholar 

  78. Achenbach TM, Becker A, Döpfner M, Heiervang E, Roessner V, Steinhausen H-C, Rothenberger A. Multicultural assessment of child and adolescent psychopathology with ASEBA and SDQ instruments: research findings, applications, and future directions. J Child Psychol Psychiatry. 2008;49(3):251–75.

    Article  PubMed  Google Scholar 

  79. Goodman R. Psychometric properties of the strengths and difficulties questionnaire. J Am Acad Child Adolesc Psychiatry. 2001;40(11):1337–45.

    Article  CAS  PubMed  Google Scholar 

  80. Warnick EM, Bracken MB, Kasl S. Screening efficiency of the child Behavior Checklist and strengths and difficulties Questionnaire: a systematic review. Child Adolesc Mental Health. 2008;13(3):140–7.

    Article  Google Scholar 

  81. Mansolf M, Blackwell CK, Cummings P, Choi S, Cella D. Linking the child behavior checklist to the strengths and difficulties Questionnaire. Psychol Assess. 2022;34(3):233.

    Article  PubMed  Google Scholar 

  82. Abdekhodaie Z, Tabatabaei SM, Gholizadeh M. The investigation of ADHD prevalence in kindergarten children in northeast Iran and a determination of the criterion validity of Conners’ questionnaire via clinical interview. Res Dev Disabil. 2012;33(2):357–61.

    Article  PubMed  Google Scholar 

  83. Sheldrick RC, Henson BS, Neger EN, Merchant S, Murphy JM, Perrin EC. The baby pediatric symptom checklist: development and initial validation of a new social/emotional screening instrument for very young children. Acad Pediatr. 2013;13(1):72–80.

    Article  PubMed  Google Scholar 

  84. Baker BL, McIntyre LL, Blacher J, Crnic K, Edelbrock C, Low C. Pre-school children with and without developmental delay: behaviour problems and parenting stress over time. J Intellect Disabil Res. 2003;47(4–5):217–30.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We are deeply grateful to the researchers and fund for their guidance and support, and sincerely appreciate the reviewers’ valuable suggestions on improving the manuscript.

Funding

The study was supported by National Key Research and Development Program of China (2021YFC2501405), Qingpu District Health Bureau Project (MY2023-4).

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CJ Yang, XY Su and YJ Du contributed to the study design and JQ Jing prepared the protocol. Author JQ Jing and Y Wang contributed to the literature search, data extraction and quality assessment. JQ Jing conducted the analysis and drafted the manuscript. All authors participated in the revision of the manuscript and gave consent to the final manuscript.

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Correspondence to Chang-Jiang Yang or Yi-Jie Du.

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Jing, JQ., Yang, CJ., Wang, Y. et al. Impact of COVID-19 on emotional and behavioral problems among preschool children: a meta-analysis. BMC Pediatr 24, 455 (2024). https://doi.org/10.1186/s12887-024-04931-8

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