Suppr超能文献

过去一年中参加大学入学考试的学生的物质使用行为:来自孟加拉国的见解。

Past-year substance use behaviors among university admission test-takers: insights from Bangladesh.

机构信息

Department of Public Health and Informatics, Jahangirnagar University, Dhaka, Bangladesh.

Department of Public Health, University of South Asia, Dhaka, Bangladesh.

出版信息

BMC Public Health. 2024 Oct 10;24(1):2769. doi: 10.1186/s12889-024-20240-2.

Abstract

University entrance test-takers are a vulnerable group of students transitioning from adolescence to youth, a peak time for adopting unhealthy behaviors. However, limited studies investigate substance use behaviors among this group. This study aimed to investigate the current (past 12 months) prevalence, associated risk factors, and geographic distribution of substance use behaviors, employing spatial analysis to identify regional disparities. A cross-sectional study was conducted utilizing convenience sampling in February 2024 among university entrance test-takers at Jahangirnagar University, Dhaka, Bangladesh (N = 1485). Participants provided information on socio-demographics, admission-related, depression (PHQ-9), anxiety (GAD-7), and substance use. Chi-square tests and logistic regression were employed to explore significant associations, with spatial analysis using ArcGIS to map substance use across districts. About 20.8% reported smoking, 10.1% reported drug use, and 9.9% reported alcohol consumption over the past 12 months. Males exhibited higher rates of smoking (23.1% vs. 17.6%) and alcohol consumption (10% vs. 9.7%), while females reported slightly higher rates of drug use (10.2% vs. 10%). Being female (AOR = 0.56; 95% CI: 0.40-0.79; p = 0.001), living in rural areas (AOR = 0.68; 95% CI: 0.49-0.94; p = 0.020), having a higher monthly family income (AOR = 1.72; 95% CI: 1.01-2.91; p = 0.042), a history of physical illness (AOR = 2.65; 95% CI: 1.87-3.76; p < 0.001), being a repeat test-taker (AOR = 1.49; 95% CI: 1.08-2.05; p = 0.014), and satisfaction with previous mock tests (AOR = 1.66; 95% CI: 1.20-2.28; p = 0.002) were significant risk factors for smoking. For drug use, belonging to a joint family (AOR = 1.71; 95% CI: 1.08-2.71; p = 0.021), having a history of physical illness (AOR = 2.57; 95% CI: 1.64-4.02; p < 0.001), and satisfaction with previous mock tests (AOR = 1.84; 95% CI: 1.20-2.83; p = 0.005) increased the risk. Additionally, a history of physical illness (AOR = 5.12; 95% CI: 3.27-8.02; p < 0.001) and satisfaction with previous mock tests (AOR = 1.78; 95% CI: 1.13-2.80; p = 0.013) were contributing factors to alcohol consumption. Spatial analyses indicated higher rates of substance use in border districts. The findings warrant targeted interventions, such as mental health support and substance use prevention programs, particularly in high-risk regions. By understanding the factors driving substance use, tailored strategies can be developed to reduce risk behaviors among university entrance test-takers, ultimately enhancing public health outcome in this vulnerable population.

摘要

大学生群体是从青少年向青年过渡的弱势群体,这个时期是他们养成不健康行为的高峰期。然而,针对该群体的物质使用行为的研究相对较少。本研究旨在通过空间分析识别区域差异,调查大学生物质使用行为的当前(过去 12 个月)流行率、相关风险因素和地理分布。

2024 年 2 月,在孟加拉国达卡的 Jahangirnagar 大学,利用便利抽样方法,对大学生进行了一项横断面研究(N=1485)。参与者提供了社会人口统计学、入学相关、抑郁(PHQ-9)、焦虑(GAD-7)和物质使用方面的信息。采用卡方检验和逻辑回归分析探索显著关联,并使用 ArcGIS 进行空间分析以绘制各地区的物质使用情况。

约 20.8%的人报告过去 12 个月内有吸烟行为,10.1%的人报告过去 12 个月内有药物使用行为,9.9%的人报告过去 12 个月内有饮酒行为。男性吸烟率(23.1%比 17.6%)和饮酒率(10%比 9.7%)较高,而女性药物使用率略高(10.2%比 10%)。女性(AOR=0.56;95%CI:0.40-0.79;p=0.001)、居住在农村地区(AOR=0.68;95%CI:0.49-0.94;p=0.020)、家庭月收入较高(AOR=1.72;95%CI:1.01-2.91;p=0.042)、有既往病史(AOR=2.65;95%CI:1.87-3.76;p<0.001)、重复参加考试(AOR=1.49;95%CI:1.08-2.05;p=0.014)和对以往模拟考试的满意度(AOR=1.66;95%CI:1.20-2.28;p=0.002)是吸烟的显著危险因素。对于药物使用,属于联合家庭(AOR=1.71;95%CI:1.08-2.71;p=0.021)、有既往病史(AOR=2.57;95%CI:1.64-4.02;p<0.001)和对以往模拟考试的满意度(AOR=1.84;95%CI:1.20-2.83;p=0.005)会增加风险。此外,既往病史(AOR=5.12;95%CI:3.27-8.02;p<0.001)和对以往模拟考试的满意度(AOR=1.78;95%CI:1.13-2.80;p=0.013)是饮酒的危险因素。空间分析表明,边境地区的物质使用率较高。

这些发现需要采取有针对性的干预措施,例如心理健康支持和物质使用预防计划,特别是在高风险地区。通过了解导致物质使用的因素,可以制定有针对性的策略,减少大学生考试群体的危险行为,最终改善这一弱势群体的公共卫生状况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d787/11468215/d9958e1702a3/12889_2024_20240_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验