Smartphone and tablet use and overweight in children: a systematic review and meta-analysis
DOI:
https://doi.org/10.47197/retos.v81.119604Keywords:
Child, Obesity, Overweight, Smartphone, TabletAbstract
Introduction: Smartphone and tablet use has increased substantially among children in recent years and has been associated with several health outcomes, including excess weight.
Objective: To systematically review and meta-analyze the association between smartphone and tablet use and overweight and obesity in children aged 5 to 10 years.
Methodology: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and included observational studies that met the eligibility criteria based on population, exposure, and outcome (PECO). Searches were conducted in PubMed, Embase, Web of Science, ScienceDirect, Scopus, and LILACS. Methodological quality and risk of bias were assessed using the Newcastle-Ottawa Scale and the AXIS tool. Meta-analyses were performed using the inverse variance method with fixed- and random-effects models.
Results: A total of 1,883 records were identified, and 18 studies were included in the systematic review, of which 12 were included in the meta-analysis. Smartphone and tablet use was positively associated with overweight and obesity in children (OR = 1.31; 95%CI 1.24–1.39). A sensitivity analysis including studies with comparable effect measures showed a stronger association (OR = 1.88; 95%CI 1.54–2.30).
Discussion: The findings are consistent with previous studies suggesting that greater exposure to screen-based devices may be related to excess weight during childhood.
Conclusions: Greater smartphone and tablet use was associated with higher odds of overweight and obesity in children, highlighting the importance of monitoring screen-based behaviors during childhood.
References
Adeomi, A. A., Fatusi, A., & Klipstein-Grobusch, K. (2022). Individual and contextual factors associated with under- and over-nutrition among school-aged children and adolescents in two Nigerian states: a multi-level analysis. Public Health Nutrition, 25(8), 2339–2351. https://doi.org/10.1017/S1368980022000258
Alturki, H. A., Brookes, D. S. K., & Davies, P. S. W. (2020). Does spending more time on electronic screen devices determine the weight outcomes in obese and normal weight Saudi Arabian chil-dren? Saudi Medical Journal, 41(1), 79–87. https://doi.org/10.15537/smj.2020.1.24786
Aragón-Martín, R., Gómez-Sánchez, M. D. M., Martínez-Nieto, J. M., Novalbos-Ruiz, J. P., Segundo-Iglesias, C., Santi-Cano, M. J., Castro-Piñero, J., Lineros-González, C., Hernán-García, M., Schwarz-Rodríguez, M., Jiménez-Pavón, D., & Rodríguez-Martín, A. (2022). Independent and Combined Association of Lifestyle Behaviours and Physical Fitness with Body Weight Status in Schoolchildren. Nutrients, 14(6), 1208. https://doi.org/10.3390/nu14061208
Arundell, L., Fletcher, E., Salmon, J., Veitch, J., & Hinkley, T. (2016). A systematic review of the preva-lence of sedentary behavior during the after-school period among children aged 5–18 years. International Journal of Behavioral Nutrition and Physical Activity, 13(1), 93. https://doi.org/10.1186/s12966-016-0419-1
Bacil, E. D. A., da Silva, M. P., Martins, R. V., da Costa, C. G., & de Campos, W. (2024). Exposure to smartphones and tablets, physical activity and sleep in children from 5 to 10 years old: A sys-tematic review and meta-analysis. American Journal of Health Promotion, 38(7), 1033–1047. https://doi.org/10.1177/08901171241242556
Bartosiewicz, A., Łuszczki, E., Kuchciak, M., Bobula, G., Oleksy, Ł., Stolarczyk, A., & Dereń, K. (2020). Children’s body mass index depending on dietary patterns, the use of technological devices, the internet and sleep on BMI in children. International Journal of Environmental Research and Public Health, 17(20), 7492. https://doi.org/10.3390/ijerph17207492
Bejarano, G., Brayton, R. P., Ranjit, N., Hoelscher, D. M., Brown, D., & Knell, G. (2022). Weight status and meeting the physical activity, sleep, and screen-time guidelines among Texas children: Re-sults from a population-based, cross-sectional analysis. BMC Pediatrics, 22(1), 539. https://doi.org/10.1186/s12887-022-03488-8
Cartanyà-Hueso, À., Lidón-Moyano, C., Martín-Sánchez, J. C., González-Marrón, A., Matilla-Santander, N., Miró, Q., & Martínez-Sánchez, J. M. (2021). Association of screen time and sleep duration among Spanish 1–14 years old children. Paediatric and Perinatal Epidemiology, 35(1), 120–129. https://doi.org/10.1111/ppe.12695
Chahal, H., Fung, C., Kuhle, S., & Veugelers, P. J. (2013). Availability and night-time use of electronic entertainment and communication devices are associated with short sleep duration and obesity among Canadian children. Pediatric Obesity, 8(1), 42–51. https://doi.org/10.1111/j.2047-6310.2012.00085.x
Chang, R. Y., Chen, T. L., Yeh, C. C., Chen, C. H., Wang, Q. W., Toung, T., & Liao, C. C. (2023). Risk of obe-sity among children aged 2–6 years who had prolonged screen time in Taiwan: A nationwide cross-sectional study. Clinical Epidemiology, 15, 165–176. https://doi.org/10.2147/CLEP.S382956
Downes, M. J., Brennan, M. L., Williams, H. C., & Dean, R. S. (2016). Development of a critical appraisal tool to assess the quality of cross-sectional studies (AXIS). BMJ Open, 6(12), e011458. https://doi.org/10.1136/bmjopen-2016-011458
Dube, N., Khan, K., Loehr, S., Chu, Y., & Veugelers, P. (2017). The use of entertainment and communica-tion technologies before sleep could affect sleep and weight status: A population-based study among children. International Journal of Behavioral Nutrition and Physical Activity, 14(1), 93. https://doi.org/10.1186/s12966-017-0547-2
Fraiwan, M., Almomani, F., & Hammouri, H. (2021). Body mass index and potential correlates among elementary school children in Jordan. Eating and Weight Disorders, 26(2), 629–638. https://doi.org/10.1007/s40519-020-00899-3
Hu, R., Zheng, H., & Lu, C. (2021). The association between sedentary screen time, non-screen-based sedentary time, and overweight in Chinese preschool children: A cross-sectional study. Fron-tiers in Pediatrics, 9, 767608. https://doi.org/10.3389/fped.2021.767608
Ikeda, I., Fujihara, K., Yoshizawa, S. M., Takeda, Y., Ishiguro, H., Harada, M. Y., Horikawa, C., Matsubayashi, Y., Yamada, T., Ogawa, Y., & Sone, H. (2024). Association between screen time, including that for smartphones, and overweight/obesity among children in Japan: NICE EVI-DENCE Study 4. Endocrine Journal, 71(2), 171–179. https://doi.org/10.1507/endocrj.EJ23-0343
Jebeile, H., Kelly, A. S., O’Malley, G., & Baur, L. A. (2022). Obesity in children and adolescents: epidemi-ology, causes, assessment, and management. The Lancet Diabetes & Endocrinology, 10(5), 351–365. https://doi.org/10.1016/S2213-8587(22)00047-X
Lee, S. Y., & Gallagher, D. (2008). Assessment methods in human body composition. Current Opinion inClinical Nutrition and Metabolic Care, 11(5), 566–572. https://doi.org/10.1097/MCO.0b013e32830b5f23
Liu, B., Liu, X., Wang, Q., Yan, W., & Hao, M. (2022). Nutritional status, food consumption, lifestyle, and physical fitness in rural and urban elementary school children in Northeast China. Frontiers in Nutrition, 9, 1044877. https://doi.org/10.3389/fnut.2022.1044877
Liu, Y., Sun, X., Zhang, E., Li, H., Ge, X., Hu, F., Cai, Y., & Xiang, M. (2023). Association between types of screen time and weight status during the COVID-19 pandemic: A longitudinal study in children and adolescents. Nutrients, 15(9), 2055. https://doi.org/10.3390/nu15092055
Lopez-Gonzalez, D., Partida-Gaytán, A., Wells, J. C., Reyes-Delpech, P., Avila-Rosano, F., Ortiz-Obregon, M., Gomez-Mendoza, F., Diaz-Escobar, L., & Clark, P. (2020). Obesogenic lifestyle and its influ-ence on adiposity in children and adolescents, evidence from Mexico. Nutrients, 12(3), 819. https://doi.org/10.3390/nu12030819
Mai, T. M. T., Tran, Q. C., Nambiar, S., Gallegos, D., & Van der Pols, J. C. (2023). Dietary patterns and child, parental, and societal factors associated with being overweight and obesity in Vietnam-ese children living in Ho Chi Minh City. Maternal & Child Nutrition, 19(4), e13514. https://doi.org/10.1111/mcn.13514
Oliveira, M. de F. de, Carvalho, A. R. da S., Siqueira, B. S., Almeida, B. E. M. de, Viera, C. S., Machineski, G. G., Toso, B. R. G. de O., & Grassiolli, S. (2023). Body mass index and abdominal waist values are related to increased cardiometabolic risk in schoolchildren aged five to ten years. Revista Paulista de Pediatria, 42, e2022113. https://doi.org/10.1590/1984-0462/2024/42/2022113
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRIS-MA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Papamichael, M. M., Karaglani, E., Boutsikou, T., Dedousis, V., Cardon, G., Iotova, V., Chakarova, N., Wikström, K., Imre, R., Si Radó, A., Liatis, S., Makrilakis, K., Moreno, L., & Manios, Y. (2022). How do the home food environment, parenting practices, health beliefs, and screen time affect the weight status of European children? The Feel4Diabetes-Study. Nutrition, 103–104, 111834. https://doi.org/10.1016/j.nut.2022.111834
Phelps, N. H., Singleton, R. K., Zhou, B., Heap, R. A., Mishra, A., Bennett, J. E., Paciorek, C. J., Lhoste, V. P., Carrillo-Larco, R. M., Stevens, G. A., Rodriguez-Martinez, A., Bixby, H., Bentham, J., Di Cesare, M., Danaei, G., Rayner, A. W., Barradas-Pires, A., Cowan, M. J., Savin, S., … Ezzati, M. (2024). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. The Lan-cet, 403(10431), 1027–1050. https://doi.org/10.1016/S0140-6736(23)02750-2
Qi, J., Yan, Y., & Yin, H. (2023). Screen time among school-aged children aged 6–14: A systematic re-view. Global Health Research and Policy, 8(1), 32. https://doi.org/10.1186/s41256-023-00297-z
Reilly, J. J. (2002). Assessment of childhood obesity: National reference data or international ap-proach? Obesity Research, 10(8), 838–840. https://doi.org/10.1038/oby.2002.114
Sánchez-Guette, L., Contreras-Correa, K. E., Altahona-Rodríguez, M., Gómez-Ramírez, O. J., Campo-Ternera, L., & Pacheco-Romero, J. A. (2025). Asociación entre actividad física, comportamiento sedentario y obesidad en escolares: estudio de casos y controles. Retos, 73, 617–623. https://doi.org/10.47197/retos.v73.112101
Serral, G., Londoño-Cañola, C., Continente, X., Brugueras, S., Sanchez-Martínez, F., & Ariza, C. (2024). Prevalence of obesity and related factors in schoolchildren aged 3 to 4 years. Anales de Pedi-atría, 101(1), 3–13. https://doi.org/10.1016/j.anpede.2024.07.002
Simmonds, M., Llewellyn, A., Owen, C. G., & Woolacott, N. (2016). Predicting adult obesity from child-hood obesity: A systematic review and meta-analysis. Obesity Reviews, 17(2), 95–107. https://doi.org/10.1111/obr.12334
Stiglic, N., & Viner, R. M. (2019). Effects of screentime on the health and well-being of children and adolescents: A systematic review of reviews. BMJ Open, 9(1), e023191. https://doi.org/10.1136/bmjopen-2018-023191
Suárez, Á. P., Lombán, B. N., Soto, E. C., Sánchez, J. M. P., Rodríguez, L. G. G., & Ortega, R. M. (2021). Weight status, body composition, and diet quality of Spanish schoolchildren according to their level of adherence to the 24-hour movement guidelines. Nutricion Hospitalaria, 38(1), 73–84. https://doi.org/10.20960/nh.03127
Tambalis, K. D., Panagiotakos, D. B., Psarra, G., & Sidossis, L. S. (2020). Screen time and its effect on dietary habits and lifestyle among schoolchildren. Central European Journal of Public Health, 28(4), 260–266. https://doi.org/10.21101/cejph.a6097
Tanaka, C., Tremblay, M. S., Okuda, M., Inoue, S., & Tanaka, S. (2020). Proportion of Japanese primary school children meeting recommendations for 24-h movement guidelines and associations with weight status. Obesity Research and Clinical Practice, 14(3), 234–240. https://doi.org/10.1016/j.orcp.2020.05.003
Telford, R. M., Telford, R. D., Olive, L. S., Cochrane, T., & Davey, R. (2016). Why are girls less physically active than boys? Findings from the LOOK longitudinal study. PLoS ONE, 11(3), e0150041. https://doi.org/10.1371/journal.pone.0150041
Valencia de Ita, M. A., Muñoz-Muñoz, M. A., Vázquez-Ramos, G., & González-González, J. G. (2026). Relación entre el estado nutricional, hábitos alimentarios, actividad física y autopercepción de salud en niños. Retos, 80, 153–167. https://doi.org/10.47197/retos.v80.118846
Wang, Y., & Wang, J. Q. (2002). A comparison of international references for the assessment of child and adolescent overweight and obesity in different populations. European Journal of Clinical Nutrition, 56(10), 973–982. https://doi.org/10.1038/sj.ejcn.1601415
Wada, K., Yamakawa, M., Konishi, K., Goto, Y., Mizuta, F., Koda, S., Uji, T., Tamura, T., Nakamura, K., Tsuji, M., Nagai, H., Itakura, N., Harada, K., Takahara, O., Yamanaka, H., & Nagata, C. (2019). As-sociations of cell phone use and screen viewing with overweight in children. Childhood Obesity, 15(7), 417–425. https://doi.org/10.1089/chi.2018.0312
Wells, J. C. K., & Fewtrell, M. S. (2006). Measuring body composition. Archives of Disease in Childhood, 91(7), 612–617. https://doi.org/10.1136/adc.2005.085522
Wu, Y., Amirfakhraei, A., Ebrahimzadeh, F., Jahangiry, L., & Abbasalizad-Farhangi, M. (2022). Screen time and body mass index among children and adolescents: A systematic review and meta-analysis. Frontiers in Pediatrics, 10, 822108. https://doi.org/10.3389/fped.2022.822108
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Rafael Vieira Martins, Eliane Denise da Silveira Araújo, Michael Pereira da Silva, Wagner de Campos

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and ensure the magazine the right to be the first publication of the work as licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of authorship of the work and the initial publication in this magazine.
- Authors can establish separate additional agreements for non-exclusive distribution of the version of the work published in the journal (eg, to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Is allowed and authors are encouraged to disseminate their work electronically (eg, in institutional repositories or on their own website) prior to and during the submission process, as it can lead to productive exchanges, as well as to a subpoena more Early and more of published work (See The Effect of Open Access) (in English).
This journal provides immediate open access to its content (BOAI, http://legacy.earlham.edu/~peters/fos/boaifaq.htm#openaccess) on the principle that making research freely available to the public supports a greater global exchange of knowledge. The authors may download the papers from the journal website, or will be provided with the PDF version of the article via e-mail.