Smartphone and Tablet Usage during COVID-19 Pandemic Confinement in Children under 48 Months in Barcelona (Spain)
Abstract
:1. Introduction
2. Methods
2.1. Daily Smartphone and Tablet Usage during Confinement
2.2. Potential Confounders and Covariates
2.3. Statistical Analysis
3. Results
3.1. Descriptive of the Sample
3.2. Smartphone and Tablet Usage during Total COVID-19 Lockdown
4. Discussion
Strengths and Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
- UNESCO. Reopening Schools: When, Where and How? 2020. Available online: https://en.unesco.org/news/reopening-schools-when-where-and-how (accessed on 15 December 2020).
- Ministerio de la Presidencia Relaciones, Con las cortes y Memoria Democratica. Real Decreto 463/2020, de 14 de Marzo, por el Que se Declara el Estado de Alarma Para la Gestión de la Situación de Crisis Sanitaria Ocasionada Por el COVID-19. 2020. Available online: https://www.boe.es/eli/es/rd/2020/03/14/463/con (accessed on 15 December 2020).
- Ammar, A.; Brach, M.; Trabelsi, K.; Chtourou, H.; Boukhris, O.; Masmoudi, L.; Bouaziz, B.; Bentlage, E.; How, D.; Ahmed, M. Effects of COVID-19 Home Confinement on Eating Behaviour and Physical Activity: Results of the ECLB-COVID19 International Online Survey. Nutrients 2020, 12, 1583. [Google Scholar] [CrossRef] [PubMed]
- Wolf, C.; Wolf, S.; Weiss, M.; Nino, G. Children’s Environmental Health in the Digital Era: Understanding Early Screen Exposure as a Preventable Risk Factor for Obesity and Sleep Disorders. Children 2018, 5, 31. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lissak, G. Adverse physiological and psychological effects of screen time on children and adolescents: Literature review and case study. Environ. Res. 2018, 164, 149–157. [Google Scholar] [CrossRef] [PubMed]
- Poitras, V.J.; Gray, C.E.; Janssen, X.; Aubert, S.; Carson, V.; Faulkner, G.; Goldfield, G.S.; Reilly, J.J.; Sampson, M.; Tremblay, M.S. Systematic review of the relationships between sedentary behaviour and health indicators in the early years (0–4 years). BMC Public Health 2017, 17, 868. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- World Health Organization (WHO). Guidelines on Physical Activity, Sedentary Behaviour and Sleep for Children under 5 Years of Age; World Health Organisation, 2019; Available online: https://apps.who.int/iris/handle/10665/311664 (accessed on 15 December 2020).
- American Academy of Pediatrics. Media and Young Minds. Pediatrics 2016, 138, e20162591. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cartanyà-Hueso, À.; Lidón-Moyano, C.; Martín-Sánchez, J.C.; González-Marrón, A.; Matilla-Santander, N.; Miró, Q.; Martínez-Sánchez, J.M. Association of screen time and sleep duration among Spanish 1–14 years old children. Paediatr. Perinat. Epidemiol. 2020, 1–10. [Google Scholar] [CrossRef] [PubMed]
- Díez-Izquierdo, A.; Cassanello, P.; Cartanyà-Hueso, À.; Matilla-Santander, N.; Balaguer, A.; Martinez-Sanchez, J.M. Knowledge and attitudes toward thirdhand smoke among parents with children under 3 years in Spain. Pediatr. Res. 2018, 84, 645–649. [Google Scholar] [CrossRef] [PubMed]
- Duch, H.; Fisher, E.M.; Ensari, I.; Harrington, A. Screen time use in children under 3 years old: A systematic review of correlates. Int. J. Behav. Nutr. Phys. Act. 2013, 10, 102. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Rodrigues, D.; Gama, A.; Machado-Rodrigues, A.M.; Nogueira, H.; Silva, M.R.G.; Rosado-Marques, V.; Padez, C. Social inequalities in traditional and emerging screen devices among Portuguese children: A cross-sectional study. BMC Public Health 2020, 20, 902. [Google Scholar] [CrossRef] [PubMed]
- Carson, V.; Janssen, I. Associations between factors within the home setting and screen time among children aged 0–5 years: A cross-sectional study. BMC Public Health 2012, 12, 539. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cartanyà-Hueso, À.; Lidón-Moyano, C.; González-Marrón, A.; Martín-Sánchez, J.C.; Martínez-Sánchez, J.M. Screen time use and sleep in children: Are there differences among social classes? Sleep Med. 2019. [Google Scholar] [CrossRef] [PubMed]
- Ministerio de la Presidencia, Relaciones con las Cortes y Memoria Democratica. Orden SND/370/2020, de 25 de Abril, Sobre las Condiciones en las que Deben Desarrollarse los Desplazamientos por Parte de la Población Infantil durante la Situación de Crisis Sanitaria Ocasionada por el COVID-19. 2020. Available online: https://www.boe.es/buscar/doc.php?id=BOE-A-2020-4665 (accessed on 15 December 2020).
- Espelt, A.; Marí-dell’Olmo, M.; Panello, E.; Bosque-Prous, M. Applied Prevalence Ratio estimation with different Regression models: An example from a cross-national study on substance use research. Adicciones 2016, 29, 37–54. [Google Scholar]
- Anderson, S.C. Gamma Hurdle Models. 2014. Available online: https://seananderson.ca/2014/05/18/gamma-hurdle/ (accessed on 15 December 2020).
- Jusienė, R.; Urbonas, V.; Laurinaitytė, I.; Rakickienė, L.; Breidokienė, R.; Kuzminskaitė, M.; Praninskienė, R. Screen use during meals among young children: Exploration of associated variables. Medicina 2019, 55, 688. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Avery, A.; Anderson, C.; McCullough, F. Associations between children’s diet quality and watching television during meal or snack consumption: A systematic review. Matern. Child Nutr. 2017, 13, e12428. [Google Scholar] [CrossRef] [PubMed]
- Hale, L.; Guan, S. Screen time and sleep among school-aged children and adolescents: A systematic literature review. Sleep Med. Rev. 2015, 21, 50–58. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ministerio de Sanidad, Consumo y Bienestar Social. Encuesta Nacional de Salud ENSE, España 2017. Serie Informes Monográficos #2-ACTIVIDAD FÍSICA, DESCANSO Y OCIO. 2019. Available online: https://www.mscbs.gob.es/estadEstudios/estadisticas/encuestaNacional/encuestaNac2017/ACTIVIDAD_FISICA.pdf (accessed on 15 December 2020).
- Ajuntament de Barcelona. Academic Level of the Population of Barcelona. 2018. Available online: https://www.bcn.cat/estadistica/catala/dades/anuari/cap05/C0501030.htm (accessed on 15 December 2020).
- Lancker, W.V.; Parolin, Z. COVID-19, school closures, and child poverty: A social crisis in the making. Lancet Public Health 2020, 5, e243–e244. [Google Scholar] [CrossRef]
- Ludvigsson, J.F. Systematic review of COVID-19 in children shows milder cases and a better prognosis than adults. Acta Paediatr. 2020, 109, 1088–1095. [Google Scholar] [CrossRef] [PubMed]
- Rajmil, L. Role of children in the transmission of the COVID-19 pandemic: A rapid scoping review. BMJ Paediatr. Open 2020, 4, e000722. [Google Scholar] [CrossRef] [PubMed]
- Statistical Institute of Catalonia. Municipal Population Register. 2020. Available online: http://www.idescat.cat/pub/?geo=prov%3A08&id=pmh&lang=en (accessed on 15 December 2020).
- Choi, B.C.K.; Pak, A.W.P. A catalog of biases in questionnaires. Prev. Chronic Dis. 2005, 2, A13. [Google Scholar] [PubMed]
To Be Exposed to Smartphones or Tablets during COVID-19 Confinement | Daily Smartphone and Tablet Usage during Confinement (min) 4 | To Be Exposed to Smartphones and Tablets during COVID-19 Confinement Meals 4 | To Be Exposed to Smartphones and Tablets before Going to Bed during COVID-19 Confinement 4 | ||||||
---|---|---|---|---|---|---|---|---|---|
n (%) | n (%) | p-Value | Median (IQR) | p-Value | n (%) | p-Value | n (%) | p-Value | |
Overall | 302 (100) | 204 (67.5) | 45 (15–90) | 58 (28.6) | 41 (20.2) | ||||
Sex of the child | 0.839 5 | 0.895 8 | 0.002 5 | 0.222 5 | |||||
Male | 150 (49.7) | 104 (68.4) | 60 (15–60) | 40 (38.5) | 25 (24.0) | ||||
Female | 152 (50.3) | 100 (66.7) | 31.5 (15–90) | 18 (18.2) | 16 (16.2) | ||||
Age of the child (months) | <0.001 6 | <0.001 9 | 0.011 6 | 0.011 6 | |||||
0–11 | 78 (25.8) | 30 (38.5) | 22.5 (6.75–60) | 5 (16.7) | 3 (10.0) | ||||
12–23 | 85 (28.1) | 53 (62.4) | 30 (15–60) | 10 (19.2) | 6 (11.5) | ||||
24–35 | 77 (25.5) | 67 (87.0) | 60 (30–120) | 23 (34.3) | 17 (25.4) | ||||
36–47 | 62 (20.5) | 54 (87.1) | 60 (30–90) | 20 (37.0) | 15 (27.8) | ||||
Siblings | 0.968 5 | 0.508 8 | 0.240 5 | 0.599 5 | |||||
No | 112 (37.1) | 75 (67.0) | 45 (15–67.5) | 17 (23.0) | 13 (17.6) | ||||
Yes | 190 (62.9) | 129 (67.9) | 45 (15–90) | 41 (31.8) | 28 (21.7) | ||||
Relationship between who answered the questionnaire and child | 0.349 7 | 0.726 8 | 1.000 7 | 0.218 7 | |||||
Mother | 290 (96) | 194 (66.9) | 45 (15–90) | 55 (28.5) | 41 (21.2) | ||||
Father | 12 (4) | 10 (83.3) | 33 (30–60) | 3 (30.0) | 0 (0.0) | ||||
Education level of mother/father 1 | 0.525 6 | 0.041 9 | 0.022 6 | 0.786 6 | |||||
High | 235 (78.1) | 162 (68.9) | 30 (15–60) | 41 (25.5) | 33 (20.5) | ||||
Medium | 46 (15.3) | 27 (58.7) | 60 (30–90) | 8 (29.6) | 4 (14.8) | ||||
Low | 20 (6.6) | 14 (70.0) | 60 (30–108.75) | 8 (57.1) | 3 (21.4) | ||||
Age of mother/father (years) | 0.496 6 | 0.255 9 | 0.915 6 | 0.249 6 | |||||
18–34 | 106 (38.3) | 68 (64.2) | 30 (15–60) | 18 (26.5) | 17 (25.0) | ||||
35–39 | 117 (42.2) | 81 (69.2) | 36 (15–90) | 22 (27.2) | 14 (17.3) | ||||
≥40 | 54 (19.5) | 37 (68.5) | 60 (30–90) | 9 (24.3) | 7 (18.9) | ||||
Kindergarten 2 | <0.001 5 | 0.027 8 | 0.627 5 | 0.283 5 | |||||
No | 117 (43.2) | 59 (50.4) | 30 (7.5–60) | 14 (23.7) | 8 (13.6) | ||||
Yes | 154 (56.8) | 117 (76.0) | 45 (24–75) | 33 (28.9) | 25 (21.9) | ||||
Questionnaire was answered after government allowed children going out 1 h/day 3 | 1.000 5 | <0.001 8 | <0.001 7 | <0.001 7 | |||||
No | 20 (6.6) | 13 (65.0) | 30 (30–60) | 3 (23.1) | 2 (15.4) | ||||
Yes | 282 (93.4) | 191 (67.7) | 45 (15–90) | 55 (28.9) | 39 (20.5) |
To Be Exposed to Smartphones and Tablets during COVID-19 Confinement | Daily Smartphone and Tablets Usage during COVID-19 Confinement | |||
---|---|---|---|---|
PR (95% CI) | aPR (95% CI) | GMR (95% CI) | aGMR (95% CI) | |
To be exposed to screens during COVID-19 confinement meals | ||||
No | ——— | ——— | 1.00 Reference | 1.00 Reference |
Yes | ——— | ——— | 2.42 (1.82, 3.25) | 2.38 (1.73, 3.34) |
To be exposed to screens before going to bed during COVID-19 confinement | ||||
No | ——— | ——— | 1.00 Reference | 1.00 Reference |
Yes | ——— | ——— | 2.00 (1.41, 2.91) | 1.95 (1.34, 2.91) |
Sex of the child | ||||
Male | 1.00 Reference | 1.00 Reference | 1.00 Reference | 1.00 Reference |
Female | 0.97 (0.83, 1.14) | 0.96 (0.83, 1.12) | 1.00 (0.73, 1.36) | 0.99 (0.71, 1.38) |
Age of the child (months) | ||||
0–11 | 1.00 Reference | 1.00 Reference | 1.00 Reference | 1.00 Reference |
12–23 | 1.62 (1.17, 2.25) | 1.42 (1.01, 1.99) | 1.19 (0.72, 1.91) | 1.31 (0.76, 2.21) |
24–35 | 2.26 (1.69, 3.03) | 2.16 (1.61, 2.89) | 2.07 (1.28, 3.27) | 2.10 (1.23, 3.52) |
36–47 | 2.26 (1.68, 3.05) | 2.15 (1.59, 2.90) | 1.88 (1.14, 3.02) | 2.11 (1.22, 3.59) |
Siblings | ||||
No | 1.00 Reference | 1.00 Reference | 1.00 Reference | 1.00 Reference |
Yes | 1.01 (0.86, 1.19) | 0.92 (0.79, 1.09) | 1.04 (0.75, 1.43) | 0.95 (0.67, 1.34) |
Relationship between who answered the questionnaire and child | ||||
Mother | 1.00 Reference | 1.00 Reference | 1.00 Reference | 1.00 Reference |
Father | 1.25 (0.96, 1.62) | 1.17 (0.87, 1.57) | 0.91 (0.48, 2.03) | 1.11 (0.51, 2.73) |
Education level of mother/father | ||||
High | 1.00 Reference | 1.00 Reference | 1.00 Reference | 1.00 Reference |
Medium | 0.85 (0.66, 1.10) | 0.85 (0.67, 1.08) | 1.28 (0.84, 2.05) | 1.36 (0.84, 2.30) |
Low | 1.02 (0.75, 1.37) | 0.93 (0.67, 1.28) | 1.66 (0.96, 3.19) | 1.47 (0.76, 3.23) |
Age of mother/father (years) | ||||
18–34 | 1.00 Reference | 1.00 Reference | 1.00 Reference | 1.00 Reference |
35–39 | 1.08 (0.90, 1.30) | 1.01 (0.85, 1.20) | 1.10 (0.75, 1.59) | 0.97 (0.66, 1.40) |
≥40 | 1.07 (0.85, 1.34) | 0.91 (0.73, 1.12) | 1.20 (0.76, 1.93) | 0.99 (0.62, 1.60) |
Questionnaire was answered after government allowed children going out 1 h/day | ||||
No | 1.00 Reference | 1.00 Reference | 1.00 Reference | 1.00 Reference |
Yes | 1.04 (0.75, 1.45) | 1.04 (0.72, 1.50) | 1.57 (0.79, 2.78) | 1.94 (0.93, 3.59) |
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Cartanyà-Hueso, À.; Lidón-Moyano, C.; Cassanello, P.; Díez-Izquierdo, A.; Martín-Sánchez, J.C.; Balaguer, A.; Martínez-Sánchez, J.M. Smartphone and Tablet Usage during COVID-19 Pandemic Confinement in Children under 48 Months in Barcelona (Spain). Healthcare 2021, 9, 96. https://doi.org/10.3390/healthcare9010096
Cartanyà-Hueso À, Lidón-Moyano C, Cassanello P, Díez-Izquierdo A, Martín-Sánchez JC, Balaguer A, Martínez-Sánchez JM. Smartphone and Tablet Usage during COVID-19 Pandemic Confinement in Children under 48 Months in Barcelona (Spain). Healthcare. 2021; 9(1):96. https://doi.org/10.3390/healthcare9010096
Chicago/Turabian StyleCartanyà-Hueso, Àurea, Cristina Lidón-Moyano, Pia Cassanello, Ana Díez-Izquierdo, Juan Carlos Martín-Sánchez, Albert Balaguer, and Jose M. Martínez-Sánchez. 2021. "Smartphone and Tablet Usage during COVID-19 Pandemic Confinement in Children under 48 Months in Barcelona (Spain)" Healthcare 9, no. 1: 96. https://doi.org/10.3390/healthcare9010096
APA StyleCartanyà-Hueso, À., Lidón-Moyano, C., Cassanello, P., Díez-Izquierdo, A., Martín-Sánchez, J. C., Balaguer, A., & Martínez-Sánchez, J. M. (2021). Smartphone and Tablet Usage during COVID-19 Pandemic Confinement in Children under 48 Months in Barcelona (Spain). Healthcare, 9(1), 96. https://doi.org/10.3390/healthcare9010096