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Sleep disorders reveal distress among children and adolescents during the Covid-19 first wave: results of a large web-based Italian survey



Measures to contain the Covid-19 pandemic led to significant lifestyle changes for children and adolescents mainly related to the closure of schools and recreational activities, reduced social interaction, and increased family concerns.


A cross-sectional online survey of 78 questions investigating social determinants of health, mood changes, symptoms of anxiety, increase in sleep disorders and unusual repetitive movements was offered to parents living in Italy with children ≤18 years; including families of children with disabilities, autism spectrum disorders, chronic diseases, and specific learning disabilities. The survey was conducted on the Qualtrics platform 6 months after the beginning of the pandemic and distributed in hospitals and paediatricians’ waiting rooms as well as through social networks. The primary outcomes were the increase in sleep disorders among children and adolescents. Possible risk factors were investigated through multivariable regression.


Six thousand two hundred ten volunteer parents responded to the questions concerning mood changes, sleep disorders and unusual repetitive movements, and were included in the present study. The majority were female (91.8%) and Italian (97.0%). 72.7% answered that their children had become more nervous, worried, or sad (80.2% in children with learning disabilities); 77.6% reported feelings of loneliness and 69.3% more difficulties in children falling asleep, 30.2% in staying asleep, and 18.7% an increase in nightmares and/or sleep terrors. Statistical analysis identified socioeconomic status, parent’s job loss, food insecurity, family attitude toward the pandemic, and children’s mood swing, feelings of loneliness, or missing outdoor activities, as major risk factors for sleep disorders.


The first Covid-19 lockdown impacted children’s and adolescents’ health through an increase in sleep disorders. In the following phases of the pandemic, this evidence may be useful to investigate and treat these disorders as well as make decisions about containment health policies concerning this age group.


The novel Coronavirus disease 2019 (COVID-19) has quickly spread across the globe since December 2019 and drastically changed daily life for billions of people. This pandemic and its associated societal response is thought to have wide-ranging impacts on youth development and child mental health [1]. Indeed, being forced to stay at home, reduce social interaction, minimize outings, boredom, and in parallel manage the attendant health risks, can have a major impact on psychological distress [2]. Quarantined people are significantly more likely to report exhaustion [3], depression [4], stress [5], low mood, irritability, insomnia, migraine [6] and post-traumatic stress symptoms [7]. A previous survey-based study comparing post-traumatic stress symptoms in parents and children quarantined (most of them because of H1N1 and SARS infection) with those not quarantined found that the mean post-traumatic stress scores were four times higher in the first group [8]. Sleep disorders are common in the paediatric age and their prevalence is estimated to be around 25% [9], with significant worsening in stressful situations [10]. There are few systematic studies of the impact of the current pandemic on children. Among these, some have found frequent alterations in sleep routines, increased total sleep duration, and negative impact on sleep quality [11, 12]. Youth with pre-existing neurodevelopmental conditions (including autism spectrum disorder, ASD) may also be particularly vulnerable to worsening of sleep disorders due to restrictive measures [13]. Sleep is an important factor that influences the cognitive, behavioural, and functional development of children [14,15,16]. It is therefore important to detect disturbances in the sleep-wake rhythm at an early stage in order to avoid short- and long-term consequences.

With this survey, we aimed to evaluate the effects of COVID-19 quarantine on sleep quality as an indicator of psychological well-being among children and adolescents living in Italy. Secondly, we aimed to identify potential familial, socioeconomic, and personal risk factors for their occurrence. Subpopulations of patients with learning disabilities, ASD, other disabilities, chronic conditions, and multiple conditions were also considered to specifically assess the impact of the pandemic on them.


Study design and survey development

An online cross-sectional survey of 78 questions was offered to a population made up of families living in Italy with children up to 18 years old. The questions were designed on the basis of a review of the scientific literature relating to the topic and extensive discussion between the authors.

The aim of the survey was to analyse some of the demographic variables of families and social determinants of health (housing, level of parental education, employment, hunger, stress) [17] among families with children. Briefly, we investigated the composition of the family, the characteristics of the dwelling, parental level of education and job characteristics (type of employment, working time commitment and changes in working conditions during the pandemic), changes in food security before and after the beginning of the pandemic through the Hunger Vital Sign (HVS) 2-item test [18], and modifications in eating habits and weight. Moreover, we inquired children’s sleep disturbances, the onset or worsening of unusual repetitive movements, mood changes, anxiety, and the relationship with school activities and online distance learning. The complete questionnaire is available in Additional file 1-Table A1.

For the purpose of the present study, we analysed the questions focusing on sleep quality and possible risk factors for its deterioration. In detail, the emergence or worsening of disorders of initiating sleep, maintaining sleep, and nocturnal awakenings after the pandemic outbreak (“Did you ever notice that at least one of your children having more difficulty falling asleep during this COVID-19 pandemic?”; “Does at least one of your children awake more than twice per night?”; “Did it ever happen in the past before the COVID-19 pandemic?”; “Did you ever notice that one or more of your children started talking and screaming anguished without waking up during the COVID-19 pandemic?”) were investigated by including some items of the Sleep Disturbance Scale for Children (SDSC) [19]. Moreover, we explored the presence of unusual repetitive movements (“Did you notice the appearance or worsening of unusual, repetitive movements (tics) in at least one of your children?”), mood changes, symptoms of anxiety and the psychophysical well-being of families, the relationship of families and students with school activities and their opinion about online distance learning and future school challenges.

These items were also analysed in a specific subclass of people made up of families with children affected by specific learning disabilities (impairment in reading/written expression/mathematics), ASD, other disabilities, chronic diseases and multiple conditions.

Survey conduction and distribution

The online survey was conducted on the research platform managed by Qualtrics. The Qualtrics model allows researchers to develop surveys using the Qualtrics software and can produce online reliable data similarly to traditional telephone and in-person methods [20].

The survey was open from September 1 until October 15, 2020, but most of the responses (93.3%) were recorded between September 20 and October 4, 2020. It was distributed through a link and a QR code disseminated through posters affixed in our hospital and in the waiting rooms of the paediatricians’ offices as well as through social networks with a snowball sampling technique. The questionnaire was filled out anonymously by parents, spontaneously and with prior online informed consent. The participants were given no reward or incentive.

Statistical analysis

Summary statistics were presented as frequencies and percentages. Multivariable logistic regression analysis was used to investigate which sociodemographic characteristics were associated with changes in sleep disorders and unusual repetitive movements after the pandemic. Due to the presence of missing covariate data, multiple imputation by chained equations was used to replace missing values with multiple sets of simulated values to complete the data (m = 20). Regression estimates from the multiple imputed sets were then combined into one overall estimate with an associated variance that incorporated the within- and between-imputation variability [21]. Covariates that were not significantly associated with the outcome with a significance level of P ≤ 0.15 at bivariate analyses were not included in multivariable regression [22, 23]. Due to the descriptive nature of the analysis, we did not perform any further automated selection of the variables to be included in the final multivariable models. No multi-collinearity issues were found. All data were analysed using Stata version 15 (StataCorp. 2017. Stata Statistical Software: Release 15. College Station, TX: StataCorp LP). The significance level was set at 5%; odds ratios from multivariable logistic regression were evaluated using the 2-sided Wald test.


The present study was approved by the Ethics Committee of the University Hospital of Bologna (Italy) (Institutional Review Board approval number 762/2020/Oss/AOUBo).


The survey was filled in by 7958 parents, but 6210 (78.0%) fully completed the questions concerning sleep disorders and unusual repetitive movements. The 1748 (22%) subjects excluded from the analysis had younger offspring, higher levels of unemployment, lower educational attainment, and were more pessimistic about their economic status after the pandemic (additional file 1- Table A2).

The socioeconomic characteristics of the study sample are summarized in Table 1, as well as parents’ experience and attitudes toward the COVID-19 pandemic. The majority of the respondents were female (91.8%), Italian (97.0%) and living in Northern Italy (89.1%). Either parent had a university degree and both parents were employed in 66.8 and 85.0% of the families, respectively. Learning disabilities were present in 4.3% of the respondents’ children, other disabilities in 1.5%, chronic conditions in 1.2%, ASD in 0.8%, and multiple conditions in 0.8%. Household economy was described as either “well-off” or “overall satisfactory” by 93.3% of the respondents. In 4.4% of the cases, either parent lost their job since the beginning of the pandemic. Almost 60% considered their means more difficult or at risk after the pandemic. Regarding their attitude during the lockdown, parents thought that their children had mainly missed meeting friends and outdoor activities, and reported that they had become more nervous, worried, or sad, and that they had had feelings of loneliness in 72.7 and 67.6% of cases, respectively.

Table 1 Parent’s sociodemographic characteristics and experience/attitudes towards the Coronavirus pandemic

Changes in sleep disorders after the Coronavirus pandemic are illustrated in Fig. 1. In 4306 (69.3%) families, children had more difficulties falling asleep; the frequency of these episodes was more than twice a week in 1290 (30.0%) cases. In 1873 (30.2%) families, the children had more difficulties staying asleep; the frequency of these episodes was more than twice a week in 561 (30.0%) cases. An increased number of nightmares and/or sleep terrors was reported in 1163 (18.7%) families; the frequency of these episodes was more than twice a week in 73 (6.3%) cases.

Fig. 1

Increase in children’s sleep disorders after COVID-19 outbreak. The graph shows parents’ answers to the three reported questions. a More difficulty in maintaining sleep is defined as waking more than twice during the night

Table 2 reports the multivariable logistic regression analysis for increased sleep disorders in children after the beginning of the pandemic. The analysis shows that household economic concerns, household food insecurity, and parents’ perception of increased difficulty in the family means after the pandemic were significantly associated with children’s sleep disorders. Modification in children’s food intake (both more and less food), mood changes (children having feelings of loneliness, sadness, worry, or nervousness) or missing outdoor activities were related to increased sleep disturbances. All these characteristics were linked both to difficulty in falling asleep and staying asleep during the night. Job loss by at least one of the parents and the presence of “chronic diseases” were found to be closely connected to difficulties in staying asleep, while difficulty in falling asleep was greater in those affected by “multiple conditions”. Similarly, children with mood swings, feelings of loneliness, diet changes, and family economic problems were significantly more likely to present nightmares or night terrors.

Table 2 Multivariable logistic regression analysis of increased sleep disorders in children after COVID-19 outbreak. Results are presented as odds ratios (standard errors)

Among the 730 (11.8%) families complaining of an increase in their children’s unusual repetitive movements after the outbreak, 514 (70.4%) reported new-onset, while 216 (29.6%) worsening of pre-existing symptoms. The logistic regression analysis revealed that the worsening of mood was associated both with an increase in pre-existing unusual repetitive movements (OR = 2.77, P < 0.001) and the occurrence of new ones (OR = 1.56, P = 0.002); the same applied to the occurrence of feelings of loneliness that could not be verbalized (worsening of unusual repetitive movements: OR = 1.89, P = 0.006; new ones: OR = 1.49, P = 0.003). Aggravation of the symptoms was greater in children with ASD (OR = 7.24, P < 0.001) and other disabilities (OR = 5.85, P < 0.001).

About distance learning, contingency tables showed that children with learning disabilities were more likely to experience sadness, nervousness, or trouble (P < 0.001) and, in parallel, had more difficulty in paying attention during distance-learning classes (P < 0.001). Additional file 2 reports complete analysis on children’s unusual repetitive movements (Table A3) and distance learning (Table A4).


This questionnaire-based study, involving 6210 parents of individuals aged 0–18, is, to date, the largest study about children and adolescents’ experience during the COVID-19 pandemic and the effects on their physical and mental health.

Similar to other countries, Italy experienced a total lockdown from March 11 to May 18, 2020. As expected in a period of isolation, uncertainty and general concern, feelings of loneliness, sadness, or trouble were present in most of children and adolescents.

One of the most striking finding in our study is the increase in sleep disorders relating to problems with falling asleep, maintaining sleep, and the presence of nightmares and/or sleep terrors.

As our questionnaire asked for the “age of the youngest child” and the questions focused on all children in the household, we were not able to make an exact breakdown by age group. Consequently, this result is hardly comparable to the few existing data in the literature: all but one of them concern pre-school children (aged 3–6). Moreover, they all have smaller samples and use different parameters. Some of them report a negative impact on sleep quality with alterations in sleep routines: a French study on 92 children (median age 29 months) highlighted an increased total SDSC score during the lockdown, with major difficulties in initiating and maintaining sleep, and an increased frequency of parasomnias [24]. An Italian study on 37 children aged 3–6, carried out during lockdown through repeated parental reports, found that after an initial phase of worsened sleep, there was a stabilization of its routine and quality [11]. Others found no effect of the lockdown: a study on 1619 Chinese children aged 4–6 years showed no difference in the Children’s Sleep Habit Questionnaire (CSHQ) scores compared to old surveyed in 2018 [25]. A smaller Italian retrospective study found no significant effect of the lockdown on SDSC score [26]. A larger (n = 1472) Canadian survey focusing on school children and youth (5–17 years) showed no differences in terms of sleep quality but reported increased total sleep duration, more evident in adolescents than in children [12].

Sleep disorders are relatively frequent in paediatric populations and are linked to behavioural and emotional problems both in children and adolescents [27,28,29,30]. Isolation imposed during the lockdown may compromise children’s ability to successfully regulate behaviour and emotions and consequently there is potential for sleep problems to emerge or worsen [31]. Our results confirm this hypothesis: we found a higher frequency of sleep disturbances among those children and adolescents in our population who appear to experience feelings of loneliness, sadness, worry, or nervousness. Sleep disorders were also found to be linked to the presence of other factors “unmasking” the distress in children and adolescents such as changes in food intake.

Social and psychosocial factors also appear to influence sleep disturbance. We found that the perception of family economic instability and job insecurity, even without a change in the employment situation during the pandemic, is a risk factor for problems related to the initiation and maintenance of sleep. This result can be directly traced to the known influence that anxiety, depression (especially maternal) and parental stress have on toddlers’ sleep [26, 32], and, on the other hand, in older children and adolescents, to a direct understanding of family experience, spells of unemployment and parental concern [3]. Before this pandemic, several authors had reported financial loss as a risk factor for psychological disorders and both anger and anxiety during and after quarantine [33,34,35]. It has also been suggested that sleep disorders in children manifest a socio-economic gradient, the causes of which, however, have not been identified [36]. It was thus not surprising that, in the case of parental job loss, also nightmares and terrors occurred more frequently, revealing a much deeper state of concern in the child/adolescent. As some authors report, the inability to make meaning of traumatic or unusual elements may lead to misleading or biased cognitive appraisal and emotional overreactions [37], that may contribute to the pathogenesis of sleep disturbance.

About a possible selection bias, we interestingly found that some socio-economic elements significantly associated with higher child distress (i.e. difficult economic status and/or worsened after the outbreak, parental job loss) were more frequent among excluded individuals whose parents did not provide information about sleep disturbances, so the prevalence of these conditions in the general population may be higher than what we estimated. However, we cannot exclude that respondents to the questionnaire possess cognitive, behavioural, and cultural traits that increase their levels of attention and anxiety towards their offspring’s health conditions, leading to an overestimation of all prevalence figures in our study sample.

Unexpectedly, children of healthcare workers (2.4% of our sample) directly involved in pandemic management and usually experiencing chronic stress and higher levels of depression and anxiety [38], did not show a higher rate of sleep disorders.

In our population, difficulty in falling asleep, nocturnal awakenings, and nightmares and/or sleep terrors were higher in children who were reported to miss outdoor activity. Outdoor activity is related to a better quality of sleep [39]; a recent study also demonstrated that sufficient time spent outdoors is associated with a decreased risk of inadequate sleep time in children. The association seems to be age- and gender-dependent, being stronger in 6–13 year-old males [40]. We could therefore hypothesize that the sleep of a sub-group of children more prone to physical activity (and therefore missing it more) can be affected even more negatively by lockdown and consequent reduced outdoor activity.

Moreover, the inability to go outside, remote learning, and the absence of in-person social interactions lead to a higher amount of time spent using technology, even during the pre-sleep period [13]. The reduced exposure to the sunlight and the prolonged exposure to screen blue and bright light may contribute to determine the sleep disorder by disrupting the physiological circadian rhythm [39,40,41,42,43].

About additional possible risk factors, Becker and Gregory have suggested that youth with pre-existing psychopathologies and neurodevelopmental conditions may be particularly vulnerable to disturbed sleep during this pandemic [13]. In our survey we investigated 6 groups: learning disabilities, ASD, other disabilities, chronic conditions, and multiple conditions. No differences between these groups have been found except for a higher rate of difficulty in staying asleep in the “chronic disease” group and of difficulty in falling asleep in the “multiple conditions” group. Unfortunately, since these two groups include patients with very different characteristics, no further speculation is possible.

Regarding unusual repetitive movements we interestingly observed an increased incidence among children with ASD and other disabilities. We therefore suggest that in these cases the “ unusual repetitive movements” may be stereotypies (rather than tics as suggested in the questionnaire), which are frequent in patients with ASD and severe cognitive impairment [44] and might be increased as an expression of anxiety and distress in these patients [45,46,47,48]. However, further specific studies with targeted questions are necessary to confirm this supposition.

Finally, an interesting fact to note, although not univocally explainable with our data, is the higher rate of feelings of loneliness, sadness, or trouble in the group of children with specific learning disorders. Their parents also reported a greater discomfort compared to children without other pathologies or disabilities in paying attention during distance-learning classes. They also expressed feelings of inadequacy in supporting their children’s distance learning and helping them manage their anxiety related to it. Unfortunately, the number of children with learning disabilities is too low to reach a conclusion. Further targeted studies could be useful to clarify this point, as a higher stress rate in engaging distance learning has already already been reported in case of specific learning disorders [49].

Our study has several limitations. The first possible bias is that, as this survey was promoted predominantly by social media, we cannot know the real number of people who received the invitation to participate in the survey and, consequently, the response rate. Moreover, such a study design could limit the ability to reach groups that do not have access to the Internet and thus exclude a population that might be particularly at risk of suffering from the pandemic aftermath. Finally, the inherent limitation of parent response-based questionnaires may not always coincide with the child’s perception and be influenced by numerous factors including parental stress itself.


With this study, we investigated the impact of COVID-19 emergency measures on children and adolescents’ well-being, and the possible risk factors of distress. We found an increase in sleep disorders that significantly impact their quality of life. The following phases of the pandemic are again requiring severe restrictions, including distance learning and social contact limitations, to control the spread of the infection, and it is, therefore, essential to investigate and treat these disorders to prevent long-term physical, cognitive, and psychological effects.

We believe that our results can be of support in formulating public health measures impacting children and adolescents such as outdoor activity restrictions, considering the increased vulnerability of these developing individuals. We also call for concrete and direct measures to support families and children, with an emphasis on those with physical and mental frailty.

Availability of data and materials

All data and materials are available at Sant’Orsola University Hospital, Bologna in AD’s office.



Coronavirus Disease 2019


Autism Spectrum Disorder


Sleep Disturbance Scale for Children


  1. 1.

    Golberstein E, Wen H, Miller BF. Coronavirus disease 2019 and effects of school closure for children and their families—reply. JAMA Pediatr. 2020;(2):211–2.

  2. 2.

    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.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Maunder R, Hunter J, Vincent L, Bennett J, Peladeau N, Leszcz M, et al. The immediate psychological and occupational impact of the 2003 SARS outbreak in a teaching hospital. CMAJ. 2003;168(10):1245–51.

    PubMed  PubMed Central  Google Scholar 

  4. 4.

    Hawryluck L, Gold WL, Robinson S, Pogorski S, Galea S, Styra R. SARS control and psychological effects of quarantine, Toronto, Canada. Emerg Infect Dis. 2004;10(7):1206–12.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    DiGiovanni C, Conley J, Chiu D, Zaborski J. Factors influencing compliance with quarantine in Toronto during the 2003 SARS outbreak. Biosecurity Bioterrorism Biodefense Strateg Pract Sci. 2004;2(4):265–72.

    Article  Google Scholar 

  6. 6.

    Dallavalle G, Pezzotti E, Provenzi L, Toni F, Carpani A, Borgatti R. Migraine symptoms improvement during the COVID-19 lockdown in a cohort of children and adolescents. Front Neurol. 2020;11(October):1–6.

    Article  Google Scholar 

  7. 7.

    Reynolds DL, Garay JR, Deamond SL, Moran MK, Gold W, Styra R. Understanding, compliance and psychological impact of the SARS quarantine experience. Epidemiol Infect. 2008;136(7):997–1007.

    CAS  Article  PubMed  Google Scholar 

  8. 8.

    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.

    Article  PubMed  Google Scholar 

  9. 9.

    Owens J. Classification and epidemiology of childhood sleep disorders. Sleep Med Clin. 2007;2(3):353–61.

    Article  Google Scholar 

  10. 10.

    Vetrugno R, Montagna P. Sleep-to-wake transition movement disorders. Sleep Med. 2011;12(SUPPL. 2):S11–6.

    Article  PubMed  Google Scholar 

  11. 11.

    Dellagiulia A, Lionetti F, Fasolo M, Verderame C, Sperati A, Alessandri G. Early impact of COVID-19 lockdown on children’s sleep: a 4-week longitudinal study. J Clin Sleep Med. 2020;16(9):1639–40.

    Article  PubMed  Google Scholar 

  12. 12.

    Moore SA, Faulkner G, Rhodes RE, Brussoni M, Chulak-Bozzer T, Ferguson LJ, et al. Impact of the COVID-19 virus outbreak on movement and play behaviours of Canadian children and youth: a national survey. Int J Behav Nutr Phys Act. 2020;17(1):85.

    Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Becker SP, Gregory AM. Editorial perspective: perils and promise for child and adolescent sleep and associated psychopathology during the COVID-19 pandemic. J Child Psychol Psychiatry. 2020;61(7):757–9.

    Article  PubMed  Google Scholar 

  14. 14.

    Ophoff D, Slaats MA, Boudewyns A, Glazemakers I, Van Hoorenbeeck K, Verhulst SL. Sleep disorders during childhood: a practical review. Eur J Pediatr. 2018;177(5):641–8.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Short MA, Blunden S, Rigney G, Matricciani L, Coussens S, M. Reynolds C, et al. Cognition and objectively measured sleep duration in children: a systematic review and meta-analysis. Sleep Heal. 2018;4(3):292–300.

    Article  Google Scholar 

  16. 16.

    Beebe DW. Cognitive, behavioral, and functional consequences of inadequate sleep in children and adolescents. Pediatr Clin N Am. 2011;58(3):649–65.

    Article  Google Scholar 

  17. 17.

    Wilkinson R, Marmot M. Determinants of Health the Solid Facts, vol. 2; 1999.

    Google Scholar 

  18. 18.

    Hager ER, Quigg AM, Black MM, Coleman SM, Heeren T, Rose-Jacobs R, et al. Development and validity of a 2-item screen to identify families at risk for food insecurity. Pediatrics. 2010;126(1):e26–32.

    Article  PubMed  Google Scholar 

  19. 19.

    Bruni O, Ottaviano S, Guidetti V, et al. The sleep disturbance scale for children (SDSC) construction and validation of an instrument to evaluate sleep disturbances in childhood and adolescence. J Sleep Res. 1996;5(4):251–61.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Beymer MR, Holloway IW, Grov C. Comparing self-reported demographic and sexual behavioral factors among men who have sex with men recruited through mechanical Turk, Qualtrics, and a HIV/STI clinic-based sample: implications for researchers and providers. Arch Sex Behav. 2018;47(1):133–42.

    Article  PubMed  Google Scholar 

  21. 21.

    White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011;30(4):377–99.

    Article  PubMed  Google Scholar 

  22. 22.

    Mickey RM, Greenland S. The impact of confounder selection criteria on effect estimation. Am J Epidemiol. 1989;129(1):125–37.

    CAS  Article  PubMed  Google Scholar 

  23. 23.

    Bursac Z, Gauss CH, Williams DK, Hosmer DW. Purposeful selection of variables in logistic regression. Source Code Biol Med. 2008;3(1).

  24. 24.

    Lecuelle F, Leslie W, Huguelet S, Franco P, Putois B. Did the COVID-19 lockdown really have no impact on young children’s sleep? J Clin Sleep Med. 2020;16(12):2121.

    Article  PubMed  Google Scholar 

  25. 25.

    Liu Z, Tang H, Jin Q, et al. Sleep of preschoolers during the coronavirus disease 2019 (COVID-19) outbreak. J Sleep Res. 2020;(April):e13142. doi:

  26. 26.

    Di Giorgio E, Di Riso D, Mioni G, Cellini N. The interplay between mothers’ and children behavioral and psychological factors during COVID-19: an Italian study. Eur Child Adolesc Psychiatry. 2020.

  27. 27.

    Mindell JA, Leichman ES, DuMond C, Sadeh A. Sleep and social-emotional development in infants and toddlers. J Clin Child Adolesc Psychol. 2017;46(2):236–46.

    Article  PubMed  Google Scholar 

  28. 28.

    Hysing M, Harvey AG, Linton SJ, Askeland KG, Sivertsen B. Sleep and academic performance in later adolescence: results from a large population-based study. J Sleep Res. 2016;25(3):318–24.

    Article  PubMed  Google Scholar 

  29. 29.

    Kosticova M, Husarova D, Dankulincova Z. Difficulties in getting to sleep and their association with emotional and Behavioural problems in adolescents: does the sleeping duration influence this association? Int J Environ Res Public Health. 2020;17(5):1691.

    Article  PubMed Central  Google Scholar 

  30. 30.

    Sinha S, Jhaveri R, Banga A. Sleep disturbances and behavioral disturbances in children and adolescents. Psychiatr Clin North Am. 2015;38(4):705–21.

    Article  PubMed  Google Scholar 

  31. 31.

    Altena E, Baglioni C, Espie CA, Ellis J, Gavriloff D, Holzinger B, et al. Dealing with sleep problems during home confinement due to the COVID-19 outbreak: practical recommendations from a task force of the European CBT-I academy. J Sleep Res. 2020;29(4):1–7.

    Article  Google Scholar 

  32. 32.

    Bathory E, Tomopoulos S. Sleep regulation, physiology and development, sleep duration and patterns, and sleep hygiene in infants, toddlers, and preschool-age children. Curr Probl Pediatr Adolesc Health Care. 2017;47(2):29–42.

    Article  PubMed  Google Scholar 

  33. 33.

    Pellecchia U, Crestani R, Decroo T, Van den Bergh R, Al-Kourdi Y. Social Consequences of Ebola Containment Measures in Liberia. PLoS One. 2015;10(12):e0143036.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Mihashi M, Otsubo Y, Yinjuan X, Nagatomi K, Hoshiko M, Ishitake T. Predictive factors of psychological disorder development during recovery following SARS outbreak. Health Psychol. 2009;28(1):91–100.

    Article  PubMed  Google Scholar 

  35. 35.

    Jeong H, Yim HW, Song Y-J, Ki M, Min JA, Cho J, et al. Mental health status of people isolated due to Middle East respiratory syndrome. Epidemiol Health. 2016;38:e2016048.

    Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Jarrin DC, McGrath JJ, Quon EC. Objective and subjective socioeconomic gradients exist for sleep in children and adolescents. Health Psychol. 2014;33(3):301–5.

    Article  PubMed  Google Scholar 

  37. 37.

    Provenzi L, Baroffio E, Ligabue S, Borgatti R. The little professor and the virus: scaffolding Children’s meaning making during the COVID-19 emergency. Front Psychiatry. 2020;11(August):1–4.

    Article  Google Scholar 

  38. 38.

    McAlonan GM, Lee AM, Cheung V, et al. Immediate and sustained psychological impact of an emerging infectious disease outbreak on health care workers. Can J Psychiatr. 2007;52(4):241–7.

    Article  Google Scholar 

  39. 39.

    Xu H, Wen LM, Hardy LL, Rissel C. Associations of outdoor play and screen time with nocturnal sleep duration and pattern among young children. Acta Paediatr. 2016;105(3):297–303.

    Article  PubMed  Google Scholar 

  40. 40.

    Luo J, Cao M, Sun F, Shi B, Wang X, Jing J. Association between outdoor activity and insufficient sleep in Chinese school-aged children. Med Sci Monit. 2020;26.

  41. 41.

    Cheung CHM, Bedford R, Saez De Urabain IR, Karmiloff-Smith A, Smith TJ. Daily touchscreen use in infants and toddlers is associated with reduced sleep and delayed sleep onset. Sci Rep. 2017;7(1):46104.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Lissak G. Adverse physiological and psychological effects of screen time on children and adolescents: literature review and case study. Environ Res. 2018;164:149–57.

    CAS  Article  PubMed  Google Scholar 

  43. 43.

    Higuchi S, Motohashi Y, Liu Y, Maeda A. Effects of playing a computer game using a bright display on presleep physiological variables, sleep latency, slow wave sleep and REM sleep. J Sleep Res. 2005;14(3):267–73.

    Article  PubMed  Google Scholar 

  44. 44.

    Sanger TD, Chen D, Fehlings DL, Hallett M, Lang AE, Mink JW, et al. Definition and classification of hyperkinetic movements in childhood. Mov Disord. 2010;25(11):1538–49.

    Article  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Spiker MA, Lin CE, Van Dyke M, Wood JJ. Restricted interests and anxiety in children with autism. Autism. 2012;16(3):306–20.

    Article  PubMed  Google Scholar 

  46. 46.

    Joosten AV, Bundy AC, Einfeld SL. Intrinsic and extrinsic motivation for stereotypic and repetitive behavior. J Autism Dev Disord. 2009;39(3):521–31.

    Article  PubMed  Google Scholar 

  47. 47.

    Baribeau DA, Vigod S, Pullenayegum E, et al. Repetitive Behavior Severity as an Early Indicator of Risk for Elevated Anxiety Symptoms in Autism Spectrum Disorder. J Am Acad Child Adolesc Psychiatry. 2020;59(7):890–899.e3.

    Article  PubMed  Google Scholar 

  48. 48.

    Grumi S, Provenzi L, Gardani A, Aramini V, Dargenio E, Naboni C, et al. Rehabilitation services lockdown during the COVID-19 emergency: the mental health response of caregivers of children with neurodevelopmental disabilities. Disabil Rehabil. 2020;0(0):1–6.

    Article  Google Scholar 

  49. 49.

    Richardson JTE. Academic attainment in students with dyslexia in distance education. Dyslexia. 2015;21(4):323–37.

    Article  PubMed  Google Scholar 

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We thank Prof. Gabriele Pizzi from the Department of Management of the University of Bologna for allowing us to conduct the survey on the Qualtrics platform; Francesco Bianchi from the Press Office of the Sant’Orsola Hospital (Bologna) for his precious help in distributing the survey; Cameron Barclay for revising the English language. We also thank the Associazione Ospedali Pediatrici Italiani (AOPI) and the Autorità Garante per l’Infanzia e l’Adolescenza (AGIA) for patronage and support of our initiative. Finally, we thank all the families who completed the survey.


The study did not receive any funding.

Author information




AD, ML conceived the study and developed the study design with DMC, EC, FM, and AF. AD, FM, and EC acquired the data. J L analysed the data. AF, AD, FM, EC, and AR wrote the initial draft of the manuscript and all authors contributed to interpretation of the data and critical revision of the manuscript and approved the final version. AD and JL had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. The author(s) read and approved the final manuscript.

Corresponding author

Correspondence to Arianna Dondi.

Ethics declarations

Ethics approval and consent to participate

The present study was approved by the Ethics Committee of the University Hospital of Bologna (Italy) (Institutional Review Board approval number 762/2020/Oss/AOUBo).

Consent for publication

Not applicable.

Competing interests

We declare no competing interests.

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Supplementary Information

Additional file 1: Table A1.

Online questionnaire. Table A2. Percentage distribution of the characteristic of subjects included and excluded from the analyses.

Additional file 2: Table A3.

Multivariable logistic regression analysis of the increase in children’s unusual repetitive movements after COVID-19 outbreak. Table A4. Percentage distribution of mood swings and information about distance learning, by child’s condition.

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Dondi, A., Fetta, A., Lenzi, J. et al. Sleep disorders reveal distress among children and adolescents during the Covid-19 first wave: results of a large web-based Italian survey. Ital J Pediatr 47, 130 (2021).

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  • Coronavirus
  • Sleep
  • Mood changes
  • Child mental health
  • Lockdown
  • SDSC
  • Distance learning