Peer Influence and Factors Associated with Personal Network Size of Underage Drinkers Recruited Through Respondent-driven Sampling 
in Dibrugarh District of Assam, India

IF 1 Q4 HEALTH POLICY & SERVICES Journal of Health Management Pub Date : 2024-03-21 DOI:10.1177/09720634241237590
S. K. Phukan, Jiten Hazarika
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Abstract

Personal networks significantly contributed to initiating risky behaviours among emerging youth. The study aimed to assess the personal network characteristics and factors associated with the personal network size of underage alcohol users. 200 underage drinkers were recruited through respondent-driven sampling in Dibrugarh, Assam using five seeds. Transition probability matrices and homophily indices were used to describe underage drinkers’ network characteristics and network patterns. The weighted logistic regression model was performed to observe the association. Personal network size differed significantly with respect to demographic profile and alcohol consumption patterns of the respondents. A higher proportion of participants used cannabis (77.0%), drank for more than 3 years (40.7%) and liked to drink with peers (51.1%). The affiliation pattern of educational status shows a trend of homophily and interaction between new and older underage drinkers. Students (OR 3.17, 95% CI 1.32, 7.62) who like to drink with peers (OR 3.45, 95% CI 1.24, 9.62) were found significantly associated with larger personal network size in weighted multiple binary logistic regression. The findings will be helpful to understand the network pattern of underage drinkers. The study highlighted the need for effective prevention and intervention programmes for this population and suggested further research in this area.
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印度阿萨姆邦迪布鲁加尔地区通过受访者驱动抽样招募的未成年饮酒者的同伴影响以及与个人网络规模相关的因素
在新出现的青少年中,个人网络是引发危险行为的重要因素。本研究旨在评估未成年饮酒者的个人网络特征以及与个人网络规模相关的因素。研究人员在阿萨姆邦迪布鲁加尔通过受访者驱动的抽样方法,使用五种种子选手招募了 200 名未成年饮酒者。采用过渡概率矩阵和同亲指数来描述未成年饮酒者的网络特征和网络模式。采用加权逻辑回归模型观察两者之间的关联。个人网络规模与受访者的人口统计学特征和饮酒模式存在明显差异。使用大麻(77.0%)、饮酒超过 3 年(40.7%)和喜欢与同伴一起喝酒(51.1%)的参与者比例较高。教育状况的隶属模式显示出新老未成年饮酒者之间的同质性和互动性趋势。在加权多元二元逻辑回归中发现,喜欢与同伴一起喝酒的学生(OR 3.17,95% CI 1.32,7.62)(OR 3.45,95% CI 1.24,9.62)与较大的个人网络规模显著相关。研究结果将有助于了解未成年饮酒者的网络模式。该研究强调了针对这一人群开展有效预防和干预计划的必要性,并建议在这一领域开展进一步研究。
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来源期刊
Journal of Health Management
Journal of Health Management HEALTH POLICY & SERVICES-
CiteScore
3.40
自引率
0.00%
发文量
84
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in Dibrugarh District of Assam, India
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