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Prevalence, predictors and consequences of gambling on Children in Ghana

BACKGROUND: Gambling is illegal for children in Ghana. However, young people, including children, are increasingly engaged in gambling across the country. Gambling is harmful and poses developmental implications for the youth, including children. There are limited studies on child gambling in Ghana...

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Autores principales: Kyei-Gyamfi, Sylvester, Coffie, Daniel, Abiaw, Michael Ofori, Hayford, Patience, Martey, Joseph Otchere, Kyei-Arthur, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719180/
https://www.ncbi.nlm.nih.gov/pubmed/36460997
http://dx.doi.org/10.1186/s12889-022-14750-0
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author Kyei-Gyamfi, Sylvester
Coffie, Daniel
Abiaw, Michael Ofori
Hayford, Patience
Martey, Joseph Otchere
Kyei-Arthur, Frank
author_facet Kyei-Gyamfi, Sylvester
Coffie, Daniel
Abiaw, Michael Ofori
Hayford, Patience
Martey, Joseph Otchere
Kyei-Arthur, Frank
author_sort Kyei-Gyamfi, Sylvester
collection PubMed
description BACKGROUND: Gambling is illegal for children in Ghana. However, young people, including children, are increasingly engaged in gambling across the country. Gambling is harmful and poses developmental implications for the youth, including children. There are limited studies on child gambling in Ghana and other sub-Saharan African countries. This study examined the prevalence of gambling participation, predictors of gambling participation, and perceived harm of gambling on children. METHODS: A cross-sectional convergent parallel mixed methodology was used to study 5024 children aged 8 to 17 in the three ecological zones of Ghana. Binary logistic regression was used to examine the predictors of gambling participation while the qualitative data was analysed thematically. RESULTS: Overall, 3.1% of children aged 8 to 17 had ever engaged in gambling activities. Also, being a female (AOR = 0.210, Wald test = 34.413, 95% CI: 0.125–0.354), having attained primary education (AOR = 4.089, Wald test = 18.643, 95% CI: 2.158–7.749), doing paid work (AOR = 2.536, Wald test = 10.687, 95% CI: 1.452–4.430), having a friend who gambles (AOR = 1.587, Wald test = 4.343; 95% CI: 1.028–2.451), having access to radio (AOR = 1.658, Wald test = 6.694, 95% CI: 1.130–2.431) and having access to mobile phone (AOR = 0.590, Wald test = 6.737, 95% CI: 0.396–0.879) were predictors of gambling participation. Gambling is perceived as harmful by children since it is addictive, affects learning and class attendance, and makes them steal from their families to gamble. CONCLUSIONS: This study demonstrated that socio-demographic characteristics (sex, age, educational attainment, ecological zone, persons taking care of children, living arrangement, engagement in paid work, radio access, mobile phone access) and gambling-related information (having friends who gamble) make children more susceptible to gambling. Researchers and policymakers should consider these socio-demographic characteristics and gambling-related information when designing interventions to curb gambling among children aged 8 to 17 in Ghana. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14750-0.
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spelling pubmed-97191802022-12-04 Prevalence, predictors and consequences of gambling on Children in Ghana Kyei-Gyamfi, Sylvester Coffie, Daniel Abiaw, Michael Ofori Hayford, Patience Martey, Joseph Otchere Kyei-Arthur, Frank BMC Public Health Research BACKGROUND: Gambling is illegal for children in Ghana. However, young people, including children, are increasingly engaged in gambling across the country. Gambling is harmful and poses developmental implications for the youth, including children. There are limited studies on child gambling in Ghana and other sub-Saharan African countries. This study examined the prevalence of gambling participation, predictors of gambling participation, and perceived harm of gambling on children. METHODS: A cross-sectional convergent parallel mixed methodology was used to study 5024 children aged 8 to 17 in the three ecological zones of Ghana. Binary logistic regression was used to examine the predictors of gambling participation while the qualitative data was analysed thematically. RESULTS: Overall, 3.1% of children aged 8 to 17 had ever engaged in gambling activities. Also, being a female (AOR = 0.210, Wald test = 34.413, 95% CI: 0.125–0.354), having attained primary education (AOR = 4.089, Wald test = 18.643, 95% CI: 2.158–7.749), doing paid work (AOR = 2.536, Wald test = 10.687, 95% CI: 1.452–4.430), having a friend who gambles (AOR = 1.587, Wald test = 4.343; 95% CI: 1.028–2.451), having access to radio (AOR = 1.658, Wald test = 6.694, 95% CI: 1.130–2.431) and having access to mobile phone (AOR = 0.590, Wald test = 6.737, 95% CI: 0.396–0.879) were predictors of gambling participation. Gambling is perceived as harmful by children since it is addictive, affects learning and class attendance, and makes them steal from their families to gamble. CONCLUSIONS: This study demonstrated that socio-demographic characteristics (sex, age, educational attainment, ecological zone, persons taking care of children, living arrangement, engagement in paid work, radio access, mobile phone access) and gambling-related information (having friends who gamble) make children more susceptible to gambling. Researchers and policymakers should consider these socio-demographic characteristics and gambling-related information when designing interventions to curb gambling among children aged 8 to 17 in Ghana. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14750-0. BioMed Central 2022-12-02 /pmc/articles/PMC9719180/ /pubmed/36460997 http://dx.doi.org/10.1186/s12889-022-14750-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kyei-Gyamfi, Sylvester
Coffie, Daniel
Abiaw, Michael Ofori
Hayford, Patience
Martey, Joseph Otchere
Kyei-Arthur, Frank
Prevalence, predictors and consequences of gambling on Children in Ghana
title Prevalence, predictors and consequences of gambling on Children in Ghana
title_full Prevalence, predictors and consequences of gambling on Children in Ghana
title_fullStr Prevalence, predictors and consequences of gambling on Children in Ghana
title_full_unstemmed Prevalence, predictors and consequences of gambling on Children in Ghana
title_short Prevalence, predictors and consequences of gambling on Children in Ghana
title_sort prevalence, predictors and consequences of gambling on children in ghana
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9719180/
https://www.ncbi.nlm.nih.gov/pubmed/36460997
http://dx.doi.org/10.1186/s12889-022-14750-0
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