Play Behaviors in Children during the COVID-19 Pandemic: A Review of the Literature
Abstract
:1. Introduction
2. Methods
2.1. Selection of Studies
2.2. Quality Assessment
3. Results
3.1. Selection of Studies
3.2. Outdoor and Indoor Play
3.3. The Types of Play
3.4. Risk of Bias
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Selection | Comparability | Outcome | Total | |||||
---|---|---|---|---|---|---|---|---|
First author (year) | Representativeness of the sample | Sample size | Non-respondents | Ascertainment of exposure | The subjects in different outcome groups are comparable based on the study design or analysis. Confounding factors are controlled. | Assessment of outcome | Statistical test | |
Andrew et al. [37] (2020) | * | * | - | * | ** | * | - | 6/10 |
parents recruited via online survey company | 5582 | No description | Non-validated but tool is described | Family structure, employment, gender | Self-report | no | ||
Arufe Giráldez, Cachón Zagalaz et al. [31] (2020) | - | - | - | ** | ** | * | * | 6/10 |
Non-experimental design for the recruitment of the participants | 837 | No description | Validated measurement tool | Age, number of televisions, PCs and/or tablets at home | Self-report | yes | ||
Egan et al. [36] (2021) | - | - | - | - | - | - | - | 0/10 |
No description | No description | No description | No description | No description | No description | no | ||
Gambin, M. et al. [38] (2020) | * | - | * | * | ** | * | * | 7/10 |
Parents recruited via online platform | 459 | From 514, 459 were eligible | Non-validated but tool is described | Gender, residence, education, marital status | Self-report | yes | ||
Martinez et al. [29] (2020) | * | - | - | * | ** | * | - | 5/10 |
Parents recruited via social networks | 435 | No description | Non-validated but tool is described | Gender and age of the child | Self-report | no | ||
Moore et al. [24] (2020) | * | - | * | * | ** | * | * | 7/10 |
Parents | 1472 | 31/1503 | Non-validated but tool is described | Gender and age of the child | Self-report | yes | ||
O’Keeffe, C. and McNally, S. [35] (2020) | * | - | * | * | ** | * | * | 7/10 |
Snowball sampling | 309 | From 351, 309 were eligible | Non-validated but tool is described | Gender, age, professional characteristics | Self-report | yes | ||
Pombo, A., Luz, C., Rodrigues, L.P., Ferreira, C., and Cordovil, R. [33] (2020) | * | * | - | * | ** | * | * | 7/10 |
Parents recruited via online survey | 2159 | No description | Non-validated but tool is described | Age, gender | Self-report | yes | ||
Stienwandt, S. et al. [25] (2020) | * | * | - | ** | ** | * | * | 8/10 |
Parents recruited through online advertisements, posters on social media platforms, and indirect recruitment through media interviews discussing the pandemic and physical distancing guidelines | 708 | No description | Online questionnaire, self-report Adult Mental Health Disorder Checklist (AMHDC), The Center for Epidemiologic Studies Depression (CESD) and Revised (CESD-R), Generalized Anxiety Disorder 7-Item Scale (GAD-7), Parenting Stress Index (PSI), Parenting Strategies during COVID-19 | Maternal and paternal education level, household employment status during COVID-19, total annual household income, marital status, number of children | Self-report | yes | ||
Torres González et al. [27] (2020) | * | - | - | * | ** | * | * | 6/10 |
Online recruitment: parents of children from 1 to 12 years old under voluntarysocial isolation by COVID-19 | 365 | No description | Non-validated but tool is described | Gender, marital status, socioeconomic status | Self-report | yes | ||
Research with Overlapping Sample | ||||||||
Arufe Giráldez, Sanmiguel-Rodríguez et al. [32] (2020) (overlapping with Arufe Giráldez, Cachón Zagalaz et al., [31] 2020) | - | - | - | ** | * | * | - | 4/10 |
Non-experimental design for the recruitment of the participants | 280 | No description | Validated measurement tool | Age | Self-report | no | ||
De Lannoy et al. [22] (2020) (overlapping with Moore et al., [24] 2020 and Mitra et al. [23], 2020) | * | - | * | * | - | * | - | |
Parents | 1472 | 31/1503 | Non-validated but tool is described | No description | Self-report | no | 4/10 | |
Mitra et al. [23] (2020) (overlapping with Moore et al [24]., 2020 and De Lannoy et al. [22], 2020) | * | - | * | * | ** | * | * | |
Parents | 1472 | 31/1503 | Non-validated but tool is described | Gender and age of the child | Self-report | yes | 7/10 | |
Pombo, A., Luz, C., Rodrigues, L.P. & Cordovi, R. l, et al. [34] (2021) (overlapping with Pombo, A., Luz, C., Rodrigues, L.P., Ferreira, C., and Cordovil, R. [33], 2020) | * | * | - | * | ** | * | * | 7/10 |
Parents recruited via online survey | 2159 | No description | Online questionnaire | Age, gender, type of house, availability of outdoor space | Self-report | yes |
Selection | Comparability | Outcome | Total | ||||||
First author (year) | Representativeness of the exposed cohort | Selection of the non-exposed cohort | Ascertainment of exposure | Demonstration that outcome of interest was not present at start of study | Comparability of cohorts on the basis of the design or analysis controlled for confounders | Assessment of outcome | Was follow-up long enough for outcomes to occur | Adequacy of follow-up of cohorts | |
Medrano, M. et al. [30] (2020) | * | * | * | * | ** | * | * | * | good quality |
Children and adolescents in Spain | Same community | MUGI project | yes | Age, sex, school, origin of mother, BMI | Record linkage, self-report | yes | no different | ||
Dunton GF, Do B, Wang SD [26] (2020) | * | * | * | * | ** | - | * | * | good quality |
Children 5 to 13 years | Same community | Structure interview, self-report | Pre-COVID period (February 20,200 and early-COVID-19 period (April–May 2020) | Parental age, sex, marital status, work status, annual household income, child age, sex, ethnicity, race | Self-report | yes | Complete follow-up | ||
* | * | * | * | * | * | * | |||
Giménez-Dasí, M. et al. [28](2020) | Parents of children 1–10 years old | Same community | Self-report | Pre-confinement (February 2020) and 4–6 weeks during confinement | No comparability | Validated tool | yes | Complete follow-up | good quality |
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First Author (Year) | Region, Country | Language | Study Period | Study Design | Sample | Sample Size | Age Range | Selection of Sample | Outcomes, Way/Questionnaires They Were Measured | Main Findings |
---|---|---|---|---|---|---|---|---|---|---|
Andrew et al. [37] (2020) | UK | English | 29 April to 20 June 2020 | Cross-sectional | Parents with at least one child between the ages of 2 and 15 | 5.582 | NR | Nationally representative 2019 Labour Force Survey (LFS) | Interview | The rest of the children’s days are filled with learning and leisure activities, which include playing, reading, being outdoors, socializing and on-screen time. Comparing primary with secondary school children in the lockdown period, we see that primary children are more likely to spend time outdoors in a given hour and less likely to be on-screen except for the early hours of the morning. |
Arufe Giráldez; Cachón Zagalaz et al. [31] (2020) | Spain | Spanish | 23 March 2020–6 May 2020 | Cross-sectional | Parents of children in Spain | 837 (50.2% males) | <12 years old (M = 6.22) 0–2 years old: 202, 3–6 years old: 260, 7–12 years old: 375 | Through social networks and using as a filter families with residence in Spain and children under 12 years old | Equipamiento y Uso de Tecnologías de Información y Comunicación en los Hogares (TIC-H2019) in Spanish, self-registration sheet ad hoc questionnaire for parents | Only 13.1% of children spend adequate time on everyday physical activity. Children that spend less time playing videogames, using a computer, watching television, and using tablets or mobile phones spend more time on physical activities. |
Dunton et al. [26] (2020) | US, 35 states and the District of Columbia. | English | 25 April to 16 May 2020 and a second online survey was scheduled to occur within 6–12 months | Cohort | Children | 211 | 5 to 13 years | Respondents were electronically invited through various social media platforms (e.g., Facebook, Twitter) and university-based emailing lists of students, faculty, and staff. | Online self-report questionnaire | 90% of children during the early-COVID-19 period chose free play/unstructured activity (e.g., running around, tag) and 55% went for a walk; 10.4% of children participated in team sports training sessions or practice through remote or streaming services, 28.9% participated in activity classes or lessons (e.g., martial arts, dance, yoga) through remote or streaming services, and 2.4% participated in remote or streaming classes or sessions provided by a health club or gym. Older children (age 9–13) vs. younger children (ages 5–8) were more than five times as likely to participate in team sports training session or practice through remote or streaming services (OR = 5.40, 95% CI [1.70, 17.15], Wald = 8.19, p = 0.004). |
Egan et al. [36] (2021) | Ireland | English | 21 May to 3 June 2020 | Cross-sectional | Parents of children 1–10 years old | 512 | 1–10 | Cognition, Development, and Learning Lab | Interview | 90% missed their friends, 87% missed playing with other children, 72% said play was affected by restrictions, and 34% brought the virus into their play. Most children spent more time playing outdoors, with games and toys and on-screen activities, and 80% went for a walk in their neighborhood at least once a week, with over a third going for a walk every day. |
Gambin et al. [38] (2020) | Poland | English | 4–8 May 2020 | Cross-sectional | Parents | 459 | 18–73 | Online from the Polish research panel ARIADNA | Brief version of the Empathic Sensitivity Questionnaire, The Difficulties in Emotion Regulation Scale Short Form, Social Support Scale, Parenting Self-Agency Measure, as well as The Scale of Positive Experiences in Parent-Child Relationship during the COVID-19 lockdown | Parents and children may have some positive experiences in their relationship during lockdown. Maybe, in some families, experiencing distress or emotional arousal caused parents to be more sensitive and focused on children and relations with them to provide protection or help, so despite struggling with a higher level of negative emotions, they noticed new achievements from their children, shared the joy of playing with them or felt the satisfaction of creating new activities. |
Giménez-Dasí et al. [28] (2020) | Madrid, Spain | English | March 2020, and 8–25 April 2020 | cohort | Families with children aged between 3.2 and 11.1 years | 167 | NR | Children recruited from two public school in Madrid. | System of Evaluation of Children and Adolescents (SENA) and online | Positive changes in some families, referring to improvements in mood and to the positive effect of the greater availability of free time and family time. |
Martinez et al. [29] (2020) | Spain | Spanish | 21 March 2020–5 April 2020 | Cross-sectional | Parents of children and adolescents in Spain | 435 (44.0% males, 3.8% not stated) | 8–17 years old (8–12, 13–17) | Via social networks and survey on LimeSurvey platform | 25-question questionnaire for children (both open and close questions) | 9.30% of male participants and 3.70% of female participants (4.30% 8–12 years old, and 10.70% 13–17 years old) did not practice any sport or carry out any physical activity during the confinement measures. 21.50% of male participants and 13.40% of female participants (14.10% 8–12 years old, and 14.10% 13–17 years old) did not practice any hobby during the confinement measures. Furthermore, playing (both online gaming and conventional games) was the second most important factor (after family) for children and adolescents’ happiness (22.77% boys <12 years old, 26.09% girls <12 years old, 16.65 male adolescents (13–17), 25.86% female adolescents (13–17)). 23.77% of the participants liked the fact that they had more free time to play at home. |
Medrano et al. [30] (2020) | Navarra (Spain) | English | September–December 2019 and March–April 2020 | Cohort | Children and adolescents in Spain | 291 children (12.1 ± 2.4 years at baseline, 47.8% girls) included in the MUGI project and 113 children from the whole sample agreed to participate in the second evaluation and completed the online questionnaire (39% participation rate; 12.0 ± 2.6 years at baseline, 48.7% girls). | 8 to 16 years | MUGI project | Demographic values, The Youth Activity Profile” questionnaire (YAP), Mediterranean Diet Quality Index for children and teenagers (KIDMED) questionnaire, lifestyle questionnaires during confinement. | During the COVID-19 confinement, physical activity (−91 ± 55 min/d, p < 0.001) and screen time (±2.6 h/d, p < 0.001) worsened, whereas the KIDMED score improved (0.5 ± 2.2 points, p < 0.02). The decrease in PA was higher in children with a mother of non-Spanish origin (−1.8 ± 0.2 vs. −1.5 ± 0.1 h/d, p < 0.04) or with non-university studies (−1.7 ± 0.1 vs. −1.3 ± 0.1 h/d, p < 0.005) in comparison to their counterparts. |
Moore et al. [24] (2020) | Canada | English | 1 month after the WHO declared COVID-19 a global pandemic | Cross-sectional | Parents of children and adolescents 5–17 years old | 1474 children and adolescents (46% males) | 5–17 (5–11 and 11–17) | Survey via Maru/Matchbox | Canadian 24-Hour Movement Guidelines for Children and Youth | 1–5 scale (3 no change): Walks or bikes in neighborhood: children overall 2.57, boys 2.54, girls 2.61. Physical activity or sports outside: children overall 2.28, boys 2.26, girls 2.30. Physical activity or sports inside: children overall 2.94, boys 3.01, girls 2.88 Outdoor play: children overall 2.58, boys 2.57, girls 2.59. Indoor Play: children overall 3.85, boys 3.86, girls 3.84. |
O’Keeffe, C. and McNally, S. [35] (2020) | Republic of Ireland (ROI) | English | 26 June to 10 July 2020 | Cross-sectional | Primary school teachers | 309 | 20–69 | Qualtrics online platform accessed via a link shared on social media platforms | Online self-report questionnaire (32-item list) | During confinement: (i) there was a decrease in children’s physical activity time (72.3%) and an increase in screen time (71.3%) and family activities (83.9%); (ii) the only sex differences were found in playful screen time (boys > girls) and in play without PA (girls > boys); (iii) among age groups, there was a trend for an increase in overall sedentary time and a complementary decrease in overall physical activity time (both F(3,2097) = 97.951, p < 0.001). |
Pombo, A., Luz, C., Rodrigues, L.P., Ferreira, C. & Cordovil, R. [33] (2020) | Portugal | English | 23 March and 1 April 2020 | Cross-sectional | Children younger than 13 years | 2159 | 0–2 years: 462; 3–5 years: 765; 6–9 years: 606; and 10–12 years: 326 | Survey on LimeSurvey, hosted on the Faculty of Human Kinetics, University of Lisbon. | Online questionnaire including four factors: 1. Household: 2.Housing characteristics. 3. Household routines 4. Children’s routines. | The majority of teachers reported encouraging parents to play with their children during lockdown, and 68.8% reported the widespread use of play as one of the key methodologies to engage children in online learning during the pandemic. In all, 87% of teachers indicated that play would have a significant role in teachers’ approaches to supporting children’s transition to school upon reopening, but there would be limited capacity for play in the classroom due to COVID-19 regulations. |
Torres González et al. [27] (2020) | Mexico | English | 21 April to 5 March 2020 | Cross-sectional | Parents of children from 1–12 years old under voluntary social isolation by COVID-19 | 365 | Over 18 years old (mean = 35.62, SD = 7.4) | Open invitation through social networks and emailed to the participants | Online self-report questionnaire (35 item list) | 21.7% perceived a greater presence of active games, 18.4% perceived an increase in participation in board games, 16.4% in videogames, 11.7% in manipulative games with toys, 9.4% reported roleplay as predominant, 8.6% showed a bigger frequency of engaging in creative types of games, 8.2% different recreational activities, and 5.7% exploratory games. Regarding game themes, 49.5% of the parents mentioned that they observed a greater predominance of fantasy games, with 19.5% of these games representing the current situation, 18.6% representing games of solidarity and mutual help, 10.5% an increase in violent games, 1.1% challenge/skill games, and the remaining 0.8% stating that their children played mostly exploratory/educational games. In addition, parents reported that 35.6% of children prefer to play with adults, 35.2% alone, and 28.9% with other children. |
Stienwand, S. et al. [25] (2020) | Canada | English | 14 April to 1 June 2020 | Cross-sectional | Mothers and fathers with children aged 2–8 years | 708 | 35.59 years old (SD = 5.59; range = 21–72) | Online convenience sample through online advertisements, posters shared on social media platforms, and indirect recruitment through media interviews discussing the pandemic and physical distancing guidelines | Online questionnaire, self-report Adult Mental Health Disorder Checklist (AMHDC), The Center for Epidemiologic Studies Depression (CESD) and Revised (CESD-R), Generalized Anxiety Disorder 7-Item Scale (GAD-7), Parenting Stress Index (PSI), Parenting Strategies During COVID-19. | For families with childcare needs, parental anxiety was associated with higher total hands-on play (F(3142) = 14.01, p < 0.001), combined hands-on play (F(285) = 6.82, p = 0.011), and combined screen time (F(282) = 6.25, p = 0.014). Families without childcare needs indicated parenting stress was associated with lower total hands-on play (F(3212) = 7.95, p < 0.005) and combined hands-on play (F(2110) = 5.67, p = 0.019), and higher supervised screen time (F(3138) = 6.14, p = 0.014). |
Studies with overlapping samples | ||||||||||
Arufe Giráldez, Sanmiguel-Rodríguez et al. [32] (2020) (overlapping with Arufe Giráldez, Cachón Zagalaz et al. [31] 2020) | Spain | English | 23 March 2020–6 May 2020 | Cross-sectional | Parents of children in Spain | 280 (51.1% males) | 0–4 years old (M = 2.44), <0 years old: 9.3% (n = 26); 1–2 years old: 40.4% (n = 113); 3–4 years old: 50.4% (n = 140) | Through social networks and using as a filter families with residence in Spain and children under 5 years old | Equipamiento y Uso de Tecnologías de Información y Comunicación en los Hogares (TIC-H2019) in Spanish, self-reported questionnaire for parents | Overall decrease in outdoor play. Differences in outdoor play across different Canadian provinces. |
De Lannoy et al. [22] (2020) (overlapping with Moore et al., [24] 2020 and Mitra et al., [23] 2020 | Canada | English | 1 month after the WHO declared COVID-19 a global pandemic | Cross-sectional | Parents of children and adolescents 5–17 years old | 1472 children and adolescents (46% males) | 5–17 (5–11 and 11–17) | Survey via Maru/Matchbox | Canadian 24-H Movement Guidelines for Children and Youth | Walk or bike: all children and youth: decrease 53.2%, same 26,3%, increase 20.5%; children (5–11 years): decrease 47.3%, same 25.0%, increase 27.7%; youth (12–17 years): decrease 58.4%, same 27.6%, increase 14.0%Physical activity or sport outside: all children and youth: decrease 63.8%, same 22.2%, increase 20.5%; children (5–11 years): decrease 47.3%, same 25.0%, increase 14.0%; youth (12–17 years): decrease 68.0%, same 21.8%, increase 10.1%Physical activity or sport inside: all children and youth: decrease 34.0%, same 40.5%, increase 25.5%; children (5–11 years): decrease 27.1%, same 41.7%, increase 31.2%; youth (12–17 years): decrease 40.1%, same 39.4%, increase 20.5%Playing outside: all children and youth: decrease 51.2%, same 30.9%, increase 17.9%; children (5–11 years): decrease 47.5%, same 26.3%, increase 26.3%; youth (12–17 years): decrease 54.6%, same 35.0%, increase 10.4% Playing inside: all children and youth: decrease 7.0%, same 39.9%, increase 53.1%; children (5–11 years): decrease 6.5%, same 32.5%, increase 61.0%; youth (12–17 years): decrease 7.4%, same 46.6%, increase 46.0% Increased outdoor activities: House (ref: Apartment) OR = 2.05, Pr < 0.001 Dwelling density OR = 0.77 Pr = 0.079, Access to parks OR = 0.83 Pr = 0.067 Distance to major road OR = 1.22 Pr = 0.039, Intercept OR = 0.59, Pr = 0.029 “Increased outdoor activities, age 7–11 (ref 12–17): OR = 1.77, Pr < 0.001 Income of $75,000 to $150,000 (ref $35,000 to 75,000): OR = 1.46 Pr = 0.000 House (ref apartment): OR = 1.39, Pr = 0.017 Dwelling density: OR = 0.68, Pr < 0.001 Distance to major road: OR = 1.12, Pr = 0.073 Dwelling density X Access to park: OR = 1.19, Pr = 0.002 Intercept: OR = 0.32, Pr < 0.001 |
Mitra et al. [23] (2020) (overlapping with Moore et al., [24] 2020 and De Lannoy et al., [22] 2020) | Canada | English | 1 month after the WHO declared COVID-19 a global pandemic | Cross-sectional | Parents of children and adolescents 5–17 years old | 1473–690 children- (46% males) | 5–17 (5–11 and 11–17) | Survey via Maru/Matchbox | Parents’ self-report in 11 movement behaviors: 1) walking or cycling, 2) physical activity or sport outside, 3) physical activity or sport inside, 4) household chores, 5) playing outside, 6) playing inside, 7) screen time, 8) social media use, 9) othernon-screen-based sedentary activities, 10) sleep duration, and 11) sleep quality. | Daily physical activity in minutes: ≤ 1 year 6.54 min; 1–2 years 35.58 min; 3–4 years 33.45 min. Creativity level (10-point scale): ≤ 1 year 5.65; 1–2 years 7.70; 3–4 years 8.09 |
Pombo, A., A., Luz, C., Rodrigues, L.P. & Cordovil, R. [34] (2021) (overlapping with Pombo, A., Luz, C., Rodrigues, L.P., Ferreira, C., and Cordovil, R. [33] 2020) | Portugal | English | 23 March and 1 April 2020 | Cross-sectional | Children younger than 13 years | 2159 | 0–2 years: 462; 3–5 years: 765; 6–9 years: 606; and 10–12 years: 326 | Survey on LimeSurvey, hosted on the Faculty of Human Kinetics, University of Lisbon. | Questionnaire including demographic values, household characteristics, children’s routines, and five categories: a) intellectual activity (school assignments and online classes), b) playful screen time (games, movies, social networks, Internet, audio and video calls), c) play without PA (reading, drawing, painting, board games, cards, Legos, and so on), d) play with physical activity (hide and seek, jumping, tag, and so on), e) PA (organized PA indoors, PA outdoors, walking the dog). | Boys and girls did not differ in the %PA in any of the age groups; children with an outdoor space and who had other children in the household were significantly more active (p < 0.001); children from families with all adults working from home showed lower levels of %PA; and being younger, having a big outdoor space, having other children in the household, and having at least one adult not working from home were significant positive predictors of children’s %PA, explaining 21% of the overall variance. |
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Kourti, A.; Stavridou, A.; Panagouli, E.; Psaltopoulou, T.; Tsolia, M.; Sergentanis, T.N.; Tsitsika, A. Play Behaviors in Children during the COVID-19 Pandemic: A Review of the Literature. Children 2021, 8, 706. https://doi.org/10.3390/children8080706
Kourti A, Stavridou A, Panagouli E, Psaltopoulou T, Tsolia M, Sergentanis TN, Tsitsika A. Play Behaviors in Children during the COVID-19 Pandemic: A Review of the Literature. Children. 2021; 8(8):706. https://doi.org/10.3390/children8080706
Chicago/Turabian StyleKourti, Anastasia, Androniki Stavridou, Eleni Panagouli, Theodora Psaltopoulou, Maria Tsolia, Theodoros N. Sergentanis, and Artemis Tsitsika. 2021. "Play Behaviors in Children during the COVID-19 Pandemic: A Review of the Literature" Children 8, no. 8: 706. https://doi.org/10.3390/children8080706