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Gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from Bangladesh

BACKGROUND: People are becoming more dependent on technology than ever before. Today’s children and adults are heavily plugged into electronics, which raises concerns for their physical and cognitive development. This cross-sectional study was conducted to assess the relationship between media usage...

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Autores principales: Liza, Mowshomi Mannan, Iktidar, Mohammad Azmain, Roy, Simanta, Jallow, Musa, Chowdhury, Sreshtha, Tabassum, Mustari Nailah, Mahmud, Tarannum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944298/
https://www.ncbi.nlm.nih.gov/pubmed/36808098
http://dx.doi.org/10.1136/bmjpo-2022-001759
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author Liza, Mowshomi Mannan
Iktidar, Mohammad Azmain
Roy, Simanta
Jallow, Musa
Chowdhury, Sreshtha
Tabassum, Mustari Nailah
Mahmud, Tarannum
author_facet Liza, Mowshomi Mannan
Iktidar, Mohammad Azmain
Roy, Simanta
Jallow, Musa
Chowdhury, Sreshtha
Tabassum, Mustari Nailah
Mahmud, Tarannum
author_sort Liza, Mowshomi Mannan
collection PubMed
description BACKGROUND: People are becoming more dependent on technology than ever before. Today’s children and adults are heavily plugged into electronics, which raises concerns for their physical and cognitive development. This cross-sectional study was conducted to assess the relationship between media usage and cognitive function among school-going children. METHODS: This cross-sectional study was conducted in 11 schools in 3 of Bangladesh’s most populous metropolitan areas: Dhaka, Chattogram and Cumilla. A semistructured questionnaire with three sections was used to obtain data from the respondents: (1) background information, (2) PedsQL Cognitive Functioning Scale and (3) Problematic Media Use Measure Short Form. Stata (V.16) was used for statistical analysis. Mean and SD were used to summarise quantitative variables. Qualitative variables were summarised using frequency and percentage. The χ(2) test was used to explore bivariate association between categorical variables, and a binary logistic regression model was fit to investigate the factors associated with the cognitive function of the study participants after adjusting for confounders. RESULTS: The mean age of total of 769 participants was 12.0±1.8 years, and the majority (67.31%) were females. The prevalence of high gadget addiction and poor cognitive function was 46.9% and 46.5%, respectively, among the participants. After adjusting the factors, this study found a statistically significant relationship (adjusted OR 0.4, 95% CI 0.3 to 0.7) between gadget addiction and cognitive function. In addition, the duration of breast feeding was a predictor of cognitive function as well. CONCLUSION: This study found digital media addiction as a predictor of decreased cognitive performance in children who use digital gadgets regularly. Although the cross-sectional design of the study precludes causal relationships from being determined, the study finding deserves further examination via longitudinal research.
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spelling pubmed-99442982023-02-23 Gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from Bangladesh Liza, Mowshomi Mannan Iktidar, Mohammad Azmain Roy, Simanta Jallow, Musa Chowdhury, Sreshtha Tabassum, Mustari Nailah Mahmud, Tarannum BMJ Paediatr Open Adolescent Health BACKGROUND: People are becoming more dependent on technology than ever before. Today’s children and adults are heavily plugged into electronics, which raises concerns for their physical and cognitive development. This cross-sectional study was conducted to assess the relationship between media usage and cognitive function among school-going children. METHODS: This cross-sectional study was conducted in 11 schools in 3 of Bangladesh’s most populous metropolitan areas: Dhaka, Chattogram and Cumilla. A semistructured questionnaire with three sections was used to obtain data from the respondents: (1) background information, (2) PedsQL Cognitive Functioning Scale and (3) Problematic Media Use Measure Short Form. Stata (V.16) was used for statistical analysis. Mean and SD were used to summarise quantitative variables. Qualitative variables were summarised using frequency and percentage. The χ(2) test was used to explore bivariate association between categorical variables, and a binary logistic regression model was fit to investigate the factors associated with the cognitive function of the study participants after adjusting for confounders. RESULTS: The mean age of total of 769 participants was 12.0±1.8 years, and the majority (67.31%) were females. The prevalence of high gadget addiction and poor cognitive function was 46.9% and 46.5%, respectively, among the participants. After adjusting the factors, this study found a statistically significant relationship (adjusted OR 0.4, 95% CI 0.3 to 0.7) between gadget addiction and cognitive function. In addition, the duration of breast feeding was a predictor of cognitive function as well. CONCLUSION: This study found digital media addiction as a predictor of decreased cognitive performance in children who use digital gadgets regularly. Although the cross-sectional design of the study precludes causal relationships from being determined, the study finding deserves further examination via longitudinal research. BMJ Publishing Group 2023-02-17 /pmc/articles/PMC9944298/ /pubmed/36808098 http://dx.doi.org/10.1136/bmjpo-2022-001759 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Adolescent Health
Liza, Mowshomi Mannan
Iktidar, Mohammad Azmain
Roy, Simanta
Jallow, Musa
Chowdhury, Sreshtha
Tabassum, Mustari Nailah
Mahmud, Tarannum
Gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from Bangladesh
title Gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from Bangladesh
title_full Gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from Bangladesh
title_fullStr Gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from Bangladesh
title_full_unstemmed Gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from Bangladesh
title_short Gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from Bangladesh
title_sort gadget addiction among school-going children and its association to cognitive function: a cross-sectional survey from bangladesh
topic Adolescent Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944298/
https://www.ncbi.nlm.nih.gov/pubmed/36808098
http://dx.doi.org/10.1136/bmjpo-2022-001759
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