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Year : 2022  |  Volume : 31  |  Issue : 2  |  Page : 207-213  Table of Contents     

Behavioural and Emotional difficulties in School children during COVID 19 pandemic using narrowband dimensions of SDQ: Online survey from North? East India

Department of Psychiatry, Lokopriya Gopinath Bordoloi Regional Institute of Mental Health, Tezpur, Assam, India

Date of Submission05-Jun-2021
Date of Acceptance09-Nov-2021
Date of Web Publication14-Sep-2022

Correspondence Address:
Dr. Siddeswara Bargur Linganna
Department of Psychiatry, Child and Adolescent Psychiatry Unit, Lokopriya Gopinath Bordoloi Regional Institute of Mental Health, Tezpur - 784 001, Assam
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ipj.ipj_130_21

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Background: Containment strategies such as lockdown during coronavirus disease 2019 (COVID-19) pandemic have forced home confinement of many children. Data on psychological difficulties in children during lockdown are scarce from this part of the country. Aim: The aim of the study is to describe the burden and pattern of behavioral and emotional problems of schoolchildren during COVID-19 lockdown in a small town from Northeastern India. Materials and Methods: Caregivers of children (4–17 years old) attending English medium schools of the town were invited to participate in the study. A descriptive cross-sectional online survey using purposive nonprobability sampling was conducted between August and September 2020. Strengths and Difficulties Questionnaire (SDQ) was used to measure behavioral and emotional difficulties of children. Responses were based on child's behaviors over the last 6 months which coincided with the ongoing lockdown period in the region. Results: A total of 304 responses were received, among which 242 were considered for analysis. The parent-reported SDQ showed 23.1% of children having emotional or behavioral problems during the COVID-19 lockdown. Peer problems (43.4%) were the most common, followed by conduct problems (25.6%), emotional problems (23.1%), and hyperactivity (11.1%). Type of family (nuclear/joint/extended) was significantly associated with total difficulties (χ2 = 6.608, P = 0.03), conduct problems (χ2 = 8.492, P = 0.01), and hyperactivity (χ2 = 5.908, P = 0.05). Socioeconomic status of the family was associated with hyperactivity (χ2 = 8.755, P = 0.01). Conclusion: Significant number of children have behavioral and emotional difficulties during COVID-19 lockdown period.

Keywords: Coronavirus disease 2019, emotional problems, mental health, pandemic, school

How to cite this article:
Nath S, Gogoi V, Linganna SB, Baruah J, Sutradhar B. Behavioural and Emotional difficulties in School children during COVID 19 pandemic using narrowband dimensions of SDQ: Online survey from North? East India. Ind Psychiatry J 2022;31:207-13

How to cite this URL:
Nath S, Gogoi V, Linganna SB, Baruah J, Sutradhar B. Behavioural and Emotional difficulties in School children during COVID 19 pandemic using narrowband dimensions of SDQ: Online survey from North? East India. Ind Psychiatry J [serial online] 2022 [cited 2022 Dec 6];31:207-13. Available from: https://www.industrialpsychiatry.org/text.asp?2022/31/2/207/355945

After the declaration of coronavirus disease 2019 (COVID-19) as a pandemic by the World Health Organization on March 11, 2020, India declared a nationwide lockdown on March 25, 2020, to check the disease's spread. Although restrictions were lifted after 2 months in a phased manner, schools and colleges remained closed from February to December 2020. According to the United Nations, up to 1.5 billion children are affected by school closures and lockdown.[1] Apart from the overall risk of physical illness, the cumulative disease containment experience can be stressful, leading to children's mental health problems. Worldwide, the pre-COVID pooled prevalence estimate of child mental health problems in the community was 13.4%.[2]

In the background of the preexisting burden of child mental morbidity, the spread of COVID-19 has resulted in significant disruption of children's mental health status across the globe.[3] Studies of children under home confinement during the COVID-19 pandemic reported depressive symptoms in 22% on the children's depression inventory.[4] In the same study, 18% showed anxiety symptoms on Screen for Child Anxiety Related Emotional Disorder. Another study from China showed that 43% endorsed depressive symptoms, while 37% had experienced anxiety symptoms.[5] In addition, factors such as age, gender, financial strain in the family, residence in highly infected areas, parental mental health, individual coping styles of children, and support systems were found to influence child mental health.[6] Indian studies evaluating mental morbidity during the pandemic are limited to adults. An online survey conducted in 11 Indian languages to assess psychosocial impact found anxiety and depression in 40% of individuals.[7] Another online survey using a self-reported COVID-19 Peritraumatic Distress Index questionnaire showed 20% experienced mild-to-moderate stress while 2.7% experienced severe stress.[8]

Understanding children's behavioral and emotional difficulties is essential from a pedagogical standpoint and social outcomes, such as school absenteeism, social integration, and self-efficacy. Among many, the Strengths and Difficulties Questionnaire (SDQ) is a widely used screening tool for identifying such difficulties in children and adolescents. Studies show that the narrowband dimensions of the SDQ (emotional symptoms, peer problems, hyperactivity, and conduct problems) are a better predictor than the broadband dimensions (internalizing and externalizing) for socioemotional and academic output in educational contexts.[9] Population demographics, vulnerability, resilience, health, and other support systems also influence the pandemic's direct and indirect effects. This study aimed to gather data on the extent and burden of behavioral and emotional difficulties after home confinement of school children and adolescents and describe the patterns during the COVID-19 pandemic.

   Materials and Methods Top


A cross-sectional online survey was conducted using nonprobability purposive sampling in town's English medium education system schools in the northeastern state Assam, India. The study assessed children and adolescents' behavioral and emotional difficulties during the pandemic from caregivers' and child's perspectives. A caregiver was defined as any parent, relative, or guardian above 18 years with the primary responsibility of child-rearing, attending to daily needs, and involved in the child's direct care for a minimum of 12 months. Principals of ten schools agreed to participate in the study and shared a digital flyer with caregivers of children aged 4–17 years through their digital platforms. The flyer contained links to YouTube videos describing the survey and a link for participation. Data were collected for 2 months, between August 2020 and September 2020.

Information was collected from the participants using Google Forms. Broad sections included participant information sheet, e-consent and e-assent, data privacy policy, sociodemographic proforma, brief clinical questions, and the SDQ items (parent and self-reported). Self-reported SDQ responses were collected from children aged 12–17 years. Based on the participants' responses, logic jumps were used to navigate the form. Presuming that some caregivers may have more than one child and may not have a Google Account, settings in Google Forms were not selected to “limit to 1 response”. Mandatory participant identification details collected were their contact numbers, and optional details included the child's name and E-mail id. The approval for the study from the ethics committee of the authors' institution was obtained. The study was conducted in accordance with the standards of the Institutional Ethics Committee and Helsinki Declaration of 1975, as revised in 2000.

Data collection tools

The sociodemographic questions included age and gender (both child and caregiver), occupation, work status during the lockdown, monthly income, siblings, type of family, caregiver's relationship with the child, and avenues for outdoor games. The brief clinical questionnaire about the child enquired about history of “physical illness requiring regular consultation,” “being on regular medications,” “delay in growth and development,” “ever being diagnosed with a mental health condition,” “consultation with a mental health professional in the past,” and “mental illness in the family.” Each item had two possible responses (yes/no).

Behavioral and emotional difficulties were assessed using parent and self-reported versions of SDQ, a brief behavioral questionnaire of 25 items. SDQ is a generic tool intended at screening rather than arriving at a specific diagnosis. The narrowband dimensions include subscales for emotional problems, hyperactivity problems, conduct problems, peer problems, and prosocial behavior. The responses are on a Likert-type scale scored from 0 to 2. All the subscales are added together to generate a total difficulty score. It also has an impact supplement, which further enquires about chronicity, distress, social impairment, and burden to others. Each subscale, as well as the total difficulty and the impact supplement scores, is categorized into “close to average,” “slightly raised/slightly lowered,” “high/low,” and “very high/very low,” according to the newer four-band categorization of the scoring system. Based on this, any child with SDQ scores equal to or above the “slightly raised” category in the total difficulties score was considered to have behavioral and emotional problems. Similarly, an SDQ score equal to or lower than the “slightly lowered” category in the dimension of prosocial behavior indicated some problem in prosocial behavior.[10]

Statistical analysis

Descriptive statistics were used for frequency distributions and Chi-square and Pearson's correlation for inferential statistics using Statistical Product and Service Solutions (SPSS) IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. (Armonk, NY: IBM Corp.).

   Results Top

In the present study, a total of 304 responses were received through Google Forms for the survey. Excluding 35 responses for nonconsent and 27 responses to duplicate data, 242 caregiver responses and 86 child responses were eligible for analysis.

Sociodemographic and clinical characteristics

[Table 1]a and [Table 1]b describes the sociodemographic and brief clinical characteristics of the children in the study. Most of the children lived with both parents (90.5%), had siblings (63.63%), belonged to a nuclear family (64%), middle socioeconomic status (70.6%), and only one parent went to work during the lockdown (75.2%). The average age was 10.39 ± 3.53 years (range 4–17) and 125 (51.7%) were female. Only 8 (3.3%) were on regular medication for physical illness and 18 (7.4%) had delayed developmental history. The majority of the children did not have any mental health-related condition or a family history of mental illness.
Table 1:

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Behavioral and emotional difficulties

The total difficulty score above the slightly raised category was observed in 23.1% by the parent-reported and 20.9% by the child-reported SDQ. In both parent-reported and self-reported SDQ, children had more peer problems (43.4% and 40.7%), followed by conduct problems (25.6% and 20.9%), emotional problems (23.1% and 19.8%), and hyperactivity (11.1% and 10.5%), as shown in [Table 2]. The majority (76.7%) of the children had close to average prosocial behavior on the self-reported SDQ compared to just 41.3% having such behavior in the parent-reported SDQ.
Table 2: Parent and child-reported strengths and difficulties questionnaire scores

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We tried to find out whether the behavioral and emotional problems were significantly different for the parent-reported SDQ and child-reported SDQ. A Chi-square test of independence showed that the responses did not differ much across the categories of emotional problems (χ[1] =2.19, P = 0.138), conduct problems (X2[1] =0.996, P = 0.318), hyperactivity (X2[1] =0.002, P = 0.962), peer problems (X2[1] = 0.464, P = 0.496), and total difficulties (X2[1] = 1.662, P =0.197).

Correlation of prosocial behavior with behavioral and emotional problems

Prosocial behavior had a significant negative correlation with total difficulties (r = −0.260, P = 0.000), conduct problems (r = −0.258, P = 0.000), hyperactivity (r = −0.295, P = 0.000), and peer problems (r = −0.352, P = 0.000) and a positive correlation with emotional problems (r = 0.066, NS) for the parent-reported SDQ. The self-reported SDQ also showed a negative correlation of prosocial behavior with total difficulties (r = −0.429, P = 0.000), conduct problem (r = −0.358, P = 0.001), hyperactivity (r = −0.286, P = 0.008), peer problems (r = −0.467, P = 0.000), as well as emotional problems (r = −0.244, P = 0.023).

Parent's perception of lockdown effect in children

To explore the parents' perception of the effect of lockdown, in a simple Yes/No question, 101 (41.7%) caregivers felt that the lockdown had significantly affected their child's well-being, whereas 141 (58.3%) did not. Of parents who responded as “Yes,” to the question, a higher percentage of their children had an abnormal SDQ score on all subscales, except peer problems [Table 3]. The other group, which responded “No” too, had children with abnormal SDQ scores, with a high percentage of peer problems. The total difficulty, conduct problem, and hyperactivity were significantly higher in children whose parent's perceived the lockdown as affecting their children.
Table 3: Parent's perception of the effect of lockdown on children and behavioural problems (total n=242)

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Association of behavioral problems with sociodemographic variables

Next, to test the association between the behavioral problems and the sociodemographic variables, the Chi-square test was applied for analysis [Table 4]. The total difficulty was higher in children from 12 to 17 years' age group, females, nuclear family, upper socioeconomic status, living with a single parent and sibling, and where both parents were working during the lockdown. However, only type of family was significantly associated with total difficulties (X2 = 6.608, P = 0.03), hyperactivity (X2 = 5.908, P = 0.05), and conduct problems (X2 = 8.492, P = 0.01). In addition, significant associations were seen between socioeconomic status and hyperactivity (X2 = 8.755, P = 0.01).
Table 4: Association of behavioral and emotional problems with sociodemographic variables (parent-reported; total n=242)

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   Discussion Top

Investigations into the child mental health status during the COVID-19 pandemic in China and the United States of America have shown higher stress and anxiety levels.[4],[5],[11] Indian studies have also explored the mental health status during the current pandemic.[7],[8],[12],[13] However, the focus on children was minimal. Inherent challenges in reaching and eliciting mental health information from children through online surveys during the lockdown period can be a few reasons for the lesser focus on children. Thus, we attempted to estimate the burden and patterns of behavioral and emotional problems in children during the current pandemic situation.

The majority of the present study samples belonged to a middle socioeconomic Hindu nuclear family with no significant past or family history of medical/psychiatric illness. Children under challenging circumstances such as institutionalized children, street children, and children in observational homes may experience unique risk processes,[14] therefore were excluded. Thus, the majority of the children were less vulnerable to develop mental health problems.

A significant number of parents (58.3%) felt that lockdown had not affected their children's wellbeing. However, even in this subgroup, difficulties were detected in four dimensions of the SDQ [Table 3]. This highlights the importance of screening school children with a standardized tool for behavioral and emotional difficulties during adversity.

In the present study, behavioral and emotional problem estimates were less compared to other studies conducted during the COVID pandemic. The parent-rated SDQ scores showed 23.1% of children having emotional or behavioral problems during the last 6 months, which coincided with the lockdown period in the region of study. It is also noted that SDQ is a screening instrument with high sensitivity, and the children with slightly raised scores were considered to have problems in the present study. The differences in the severity of the pandemic, timing of the survey in relation to the pandemic phase, number of deaths due to covid in the region, and support systems could have contributed to the lower estimates. Further, a lack of diagnostic confirmation and differences in measurement tools and online survey methods could also contribute to the varied estimates.

Despite lesser estimates of child behavioral and emotional problems compared to other countries during the COVID pandemic in the present study, it is higher than the prepandemic estimates from India. A systematic review of sixteen community-based studies (n = 14594) from India showed a prepandemic prevalence of child psychiatric disorders 6.46%.[15] Another Indian study estimated the prevalence of child psychiatric disorders for children between 4 and 16 years to be 12%.[16]

Similarly, prevalence estimates obtained using SDQ in an Indian study of adolescent school children showed 15% had significant scores.[17] Further, considering that the present study sample consisted of relatively risk-free children, the estimate of 23.1% could reflect an increase relative to prepandemic levels.

Peer problems were the most common, followed by conduct and emotional problems. Hyperactivity symptoms were among the least reported. Greater peer problems can hint towards the impact of social disruption due to lockdown restrictions. However, the present study's patterns are similar to the patterns obtained in studies conducted before the pandemic.[17],[18] In an epidemiological survey conducted before the COVID pandemic in India showed peer problems (28%) were most typical, followed by conduct (17%) and emotional (13%) problems. Respondents least endorsed hyperactivity symptoms (6%).[17] Prosocial behavior in our study group had a significant negative correlation with total difficulties, conduct problems, peer problems, and hyperactivity, a pattern similar to other previous studies.[19],[20] This may be helpful from an intervention point of view – targeted approaches to promote prosocial behavior besides engaging with the problematic behaviors may prove beneficial. The presence of prosocial behavior in a larger portion of our study sample might also have been a reason for lower estimates of behavioral problems relative to other studies done during the pandemic.

An attempt was also made to find if sociodemographic variables were associated with behavior and emotional problems in the study participants. Type of family was significantly associated with “Total difficulties, Hyperactivity and Conduct problems.” Furthermore, socioeconomic status was associated with hyperactivity problems. Major epidemiological and longitudinal studies conducted before the pandemic have shown the association of family and socioeconomic factors with disruptive behaviors.[21],[22]

Limitations of the study include the unavailability of the response rate as the number of respondents receiving the forms was unknown. Self-selection bias can affect the estimates in an online survey.[23] Further samples are drawn from English medium schools and smartphone-handling parents, which may affect the generalizability. The absence of a baseline estimate of child mental health problems in the study population also leads to challenges in understanding the pandemic's impact on children. Lack of corroboration and confirmation following SDQ screening can affect reliability. Finally, the self-reported behavioral difficulties observed by the SDQ may not always align with the assessment by a mental health professional.

   Conclusion Top

The present study provides preliminary estimates of child behavioral and emotional problems in the context of a pandemic using an online survey platform. Significant number of children have emotional and behavioral difficulties during the lockdown period. Peer problems appear to be the pressing concerns for children in the current context. Peer-directed programs focusing on rebuilding positive peer interactions can be relevant during postlockdown school resumption. Further enquiry into the psychological risk processes relevant during lockdowns and follow-up evaluations can provide insights for interventions and preventive programs.

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.

   References Top

Nations U. Policy Brief: The Impact of COVID-19 on Children; 2020. Available from: https://www.un.org/sites/un2.un.org/files/policy_brief_on_covid_impact_on_children_16_april_2020.pdf. [Last accessed on 2021 Nov 01]  Back to cited text no. 1
Polanczyk GV, Salum GA, Sugaya LS, Caye A, Rohde LA. Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. J Child Psychol Psychiatry Allied Discip 2015;56:345-65.  Back to cited text no. 2
Loades ME, Chatburn E, Higson-Sweeney N, Reynolds S, Shafran R, Brigden A, et al. Rapid systematic review: The impact of social isolation and loneliness on the mental health of children and adolescents in the context of COVID-19. J Am Acad Child Adolesc Psychiatry 2020;59:1218-39.e3.  Back to cited text no. 3
Xie X, Xue Q, Zhou Y, Zhu K, Liu Q, Zhang J, et al. Mental health status among children in home confinement during the coronavirus disease 2019 outbreak in Hubei Province, China. JAMA Pediatr 2020;174:898.  Back to cited text no. 4
Zhou SJ, Zhang LG, Wang LL, Guo ZC, Wang JQ, Chen JC, et al. Prevalence and socio-demographic correlates of psychological health problems in Chinese adolescents during the outbreak of COVID-19. Eur Child Adolesc Psychiatry 2020;29:749-58.  Back to cited text no. 5
Racine N, Cooke JE, Eirich R, Korczak DJ, McArthur B, Madigan S. Child and adolescent mental illness during COVID-19: A rapid review. Psychiatry Res 2020;292:113307.  Back to cited text no. 6
Grover S, Sahoo S, Mehra A, Avasthi A, Tripathi A, Subramanyan A, et al. Psychological impact of COVID-19 lockdown: An online survey from India. Indian J Psychiatry 2020;62:354.  Back to cited text no. 7
  [Full text]  
Ramasubramanian V, Mohandoss AA, Rajendhiran G, Pandian PRS, Ramasubramanian C. Statewide survey of psychological distress among people of Tamil Nadu in the COVID-19 pandemic. Indian J Psychol Med 2020;42:368-73.  Back to cited text no. 8
Kulawiak PR, Wilbert J, Schlack R, Börnert-Ringleb M. Prediction of child and adolescent outcomes with broadband and narrowband dimensions of internalizing and externalizing behavior using the child and adolescent version of the strengths and difficulties questionnaire. PLoS One 2020;15:e0240312.  Back to cited text no. 9
Goodman R. The strengths and difficulties questionnaire: A research note. Child Psychol Psychiatry Allied Discip 1997;38:581-6.  Back to cited text no. 10
Rosen Z, Weinberger-Litman S, Rosenzweig C, Rosmarin D, Muennig P, Carmody E, et al. Anxiety and distress among the first community quarantined in the U.S due to COVID-19: Psychological implications for the unfolding crisis. 2020 (preprint). Available from: https://psyarxiv.com/7eq8c/. [Last accessed on 2020 Aug 23].  Back to cited text no. 11
Roy D, Tripathy S, Kar SK, Sharma N, Verma SK, Kaushal V. Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian J Psychiatr 2020;51:102083.  Back to cited text no. 12
Chakraborty K, Chatterjee M. Psychological impact of COVID-19 pandemic on general population in West Bengal: A cross-sectional study. Indian J Psychiatry 2020;62:266.  Back to cited text no. 13
  [Full text]  
Jenkins J, Sheri Madigan LA. Psychosocial adversity. In: Thapar A, Pine DS, Leckman JF, Scott S, Snowling MJ, Taylor E, editors. Rutter's Child and Adolescent Psychiatry. 6th ed. UK: JohnWiley & Sons, Ltd.; 2015. p. 330.  Back to cited text no. 14
Malhotra S, Patra BN. Prevalence of child and adolescent psychiatric disorders in India: A systematic review and meta-analysis. Child Adolesc Psychiatry Ment Health 2014;8:22.  Back to cited text no. 15
Srinath S, Girimaji SC, Gururaj G, Seshadri S, Subbakrishna DK, Bhola P, et al. Epidemiological study of child & adolescent psychiatric disorders in urban & rural areas of Bangalore, India. Indian J Med Res 2005;122:67-79.  Back to cited text no. 16
Nair S, Ganjiwale J, Kharod N, Varma J, Nimbalkar SM. Epidemiological survey of mental health in adolescent school children of Gujarat, India. BMJ Paediatr Open 2017;1:e000139.  Back to cited text no. 17
Kovess-Masfety V, Husky MM, Keyes K, Hamilton A, Pez O, Bitfoi A, et al. Comparing the prevalence of mental health problems in children 6–11 across Europe. Soc Psychiatry Psychiatr Epidemiol 2016;51:1093-103.  Back to cited text no. 18
Flynn E, Ehrenreich SE, Beron KJ, Underwood MK. Prosocial behavior: Long-term trajectories and psychosocial outcomes. Soc Dev 2015;24:462-82.  Back to cited text no. 19
Flouri E, Sarmadi Z. Prosocial behavior and childhood trajectories of internalizing and externalizing problems: The role of neighborhood and school contexts. Dev Psychol 2016;52:253-8.  Back to cited text no. 20
Atif Rahman CK. Global psychiatry. In: Thapar A, Pine DS, Leckman JF, Scott S, Snowling MJ, Taylor E, editors. Rutter's Child and Adolescent Psychiatry. 6th ed. Oxford, UK: Wiley-Blackwell Publishing; 2018. p. 206.  Back to cited text no. 21
Murray J, Farrington DP. Risk factors for conduct disorder and delinquency: Key findings from longitudinal studies. Can J Psychiatry 2010;55;633-42.  Back to cited text no. 22
Heiervang E, Goodman R. Advantages and limitations of web-based surveys: Evidence from a child mental health survey. Soc Psychiatry Psychiatr Epidemiol 2011;46:69-76.  Back to cited text no. 23


  [Table 1], [Table 2], [Table 3], [Table 4]


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