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The prevalence, patterns, and correlates of gambling behaviours in men: An exploratory study from Goa, India
BACKGROUND: There is a significant evidence gap on gambling in India, where gambling is viewed predominantly through the legal lens. The aim of this study is to determine the prevalence, patterns, and correlates of gambling. METHODS: Cross-sectional data from the follow-up assessment in a cohort (n ...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712305/ https://www.ncbi.nlm.nih.gov/pubmed/31151082 http://dx.doi.org/10.1016/j.ajp.2019.03.021 |
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author | Bhatia, Urvita Bhat, Bhargav George, Sanju Nadkarni, Abhijit |
author_facet | Bhatia, Urvita Bhat, Bhargav George, Sanju Nadkarni, Abhijit |
author_sort | Bhatia, Urvita |
collection | PubMed |
description | BACKGROUND: There is a significant evidence gap on gambling in India, where gambling is viewed predominantly through the legal lens. The aim of this study is to determine the prevalence, patterns, and correlates of gambling. METHODS: Cross-sectional data from the follow-up assessment in a cohort (n = 1514 men) from India. The following data were collected using a structured questionnaire: socio-demographic information, gambling, interpersonal violence, tobacco use, alcohol use disorders (AUD), common mental disorders, and suicidality. Logistic regression models were used to examine the correlates of gambling. RESULTS: 658 participants (45.4%) reported gambling in the past year, and lottery was the most frequent form of gambling (67.8%). Current gambling was correlated with rural residence (OR 1.42, CI 1.05–1.93, p = 0.02), work-related problems (OR 1.42, CI 1.03–1.96, p = 0.03), interpersonal violence (OR 3.45, CI 1.22–9.75, p = 0.02), tobacco use (OR 1.59, CI 1.16–2.19, p = 0.004), and AUD (OR 2.14, CI 1.35–3.41, p = 0.001). 724 (49.9%) participants reported gambling at least once in their lifetime. Lifetime gambling was correlated with work-related problems (OR 1.57, CI 1.14–2.17, p = 0.006), interpersonal violence (OR 4.03, CI 1.32–12.30 p = 0.02), tobacco use (OR 1.60, CI 1.16–2.20, p = 0.004), and AUD (OR 2.12, CI 1.33–3.40, p = 0.002). Age was significantly associated with playing lottery more frequently (OR 3.24, CI 1.34–7.84, p = 0.009) and tobacco use was significantly associated with playing matka more frequently (OR 1.69, CI 1.08–2.64, p = 0.02). DISCUSSION: The high prevalence of gambling and its association with social problems and risk factors for non-communicable diseases warrants further epidemiological research. |
format | Online Article Text |
id | pubmed-6712305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67123052019-08-29 The prevalence, patterns, and correlates of gambling behaviours in men: An exploratory study from Goa, India Bhatia, Urvita Bhat, Bhargav George, Sanju Nadkarni, Abhijit Asian J Psychiatr Article BACKGROUND: There is a significant evidence gap on gambling in India, where gambling is viewed predominantly through the legal lens. The aim of this study is to determine the prevalence, patterns, and correlates of gambling. METHODS: Cross-sectional data from the follow-up assessment in a cohort (n = 1514 men) from India. The following data were collected using a structured questionnaire: socio-demographic information, gambling, interpersonal violence, tobacco use, alcohol use disorders (AUD), common mental disorders, and suicidality. Logistic regression models were used to examine the correlates of gambling. RESULTS: 658 participants (45.4%) reported gambling in the past year, and lottery was the most frequent form of gambling (67.8%). Current gambling was correlated with rural residence (OR 1.42, CI 1.05–1.93, p = 0.02), work-related problems (OR 1.42, CI 1.03–1.96, p = 0.03), interpersonal violence (OR 3.45, CI 1.22–9.75, p = 0.02), tobacco use (OR 1.59, CI 1.16–2.19, p = 0.004), and AUD (OR 2.14, CI 1.35–3.41, p = 0.001). 724 (49.9%) participants reported gambling at least once in their lifetime. Lifetime gambling was correlated with work-related problems (OR 1.57, CI 1.14–2.17, p = 0.006), interpersonal violence (OR 4.03, CI 1.32–12.30 p = 0.02), tobacco use (OR 1.60, CI 1.16–2.20, p = 0.004), and AUD (OR 2.12, CI 1.33–3.40, p = 0.002). Age was significantly associated with playing lottery more frequently (OR 3.24, CI 1.34–7.84, p = 0.009) and tobacco use was significantly associated with playing matka more frequently (OR 1.69, CI 1.08–2.64, p = 0.02). DISCUSSION: The high prevalence of gambling and its association with social problems and risk factors for non-communicable diseases warrants further epidemiological research. Elsevier 2019-06 /pmc/articles/PMC6712305/ /pubmed/31151082 http://dx.doi.org/10.1016/j.ajp.2019.03.021 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bhatia, Urvita Bhat, Bhargav George, Sanju Nadkarni, Abhijit The prevalence, patterns, and correlates of gambling behaviours in men: An exploratory study from Goa, India |
title | The prevalence, patterns, and correlates of gambling behaviours in men: An exploratory study from Goa, India |
title_full | The prevalence, patterns, and correlates of gambling behaviours in men: An exploratory study from Goa, India |
title_fullStr | The prevalence, patterns, and correlates of gambling behaviours in men: An exploratory study from Goa, India |
title_full_unstemmed | The prevalence, patterns, and correlates of gambling behaviours in men: An exploratory study from Goa, India |
title_short | The prevalence, patterns, and correlates of gambling behaviours in men: An exploratory study from Goa, India |
title_sort | prevalence, patterns, and correlates of gambling behaviours in men: an exploratory study from goa, india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712305/ https://www.ncbi.nlm.nih.gov/pubmed/31151082 http://dx.doi.org/10.1016/j.ajp.2019.03.021 |
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