Centre for Evidence & Social Innovation, School of Social Sciences, Education & Social Work, Queen's University Belfast, Belfast, United Kingdom.
School of Nursing & Midwifery, Queen's University Belfast, Medical Biology Centre, Belfast, United Kingdom.
PLoS One. 2018 May 23;13(5):e0195192. doi: 10.1371/journal.pone.0195192. eCollection 2018.
Substance misuse persists as a major public health issue worldwide with significant costs for society. The development of interventions requires methodologically sound studies to explore substance misuse causes and consequences. This Cohort description paper outlines the design of the Belfast Youth Development (BYDS), one of the largest cohort studies of its kind in the UK. The study was established to address the need for a long-term prospective cohort study to investigate the initiation, persistence and desistance of substance use, alongside life course processes in adolescence and adulthood. The paper provides an overview of BYDS as a longitudinal data source for investigating substance misuse and outlines the study measures, sample retention and characteristics. We also outline how the BYDS data have been used to date and highlight areas ripe for future work by interested researchers.
The study began in 2000/1 when participants (n = 3,834) were pupils in their first year of post-primary education (age 10/11 years, school year 8) from over 40 schools in Northern Ireland. Children were followed during the school years: Year 9 (in 2002; aged 12; n = 4,343), Year 10 (in 2003; aged 13; n = 4,522), Year 11 (in 2004; aged 14; n = 3,965) and Year 12 (in 2005; aged 15; n = 3,830) and on two more occasions: 2006/07 (aged 16/17; n = 2,335) and 2010/11 (aged 20/21; n = 2,087). Data were collected on substance use, family, schools, neighbourhoods, offending behaviour and mental health. The most novel aspect of the study was the collection of detailed social network data via friendship nominations allowing the investigation of the spread of substance use via friendship networks. In 2004 (school year 11; respondents aged 14), a sub-sample of participants' parents (n = 1,097) and siblings (n = 211) also completed measures on substance use and family dynamics.
The most recent wave (in 2010/2011; respondents aged 20/21 years) indicated lifetime use of alcohol, tobacco and cannabis among the cohort was 94, 70 and 45 per cent, respectively. The paper charts the development of drug use behaviour and some of the key results to date are presented. We have also identified a number of key areas ripe for analysis by interested researchers including sexual health and education.
We have established a cohort with detailed data from adolescence to young adulthood, supplemented with parent and sibling reports and peer network data. The dataset, allowing for investigation of trajectories of adolescent substance use, associated factors and subsequent long-term outcomes, constitutes an important resource for longitudinal substance misuse research. A planned further wave as the cohort enter their late twenties and potential to link to administrative data sources, will further enrich the datasets.
物质滥用在全球范围内仍然是一个主要的公共卫生问题,给社会带来了巨大的成本。干预措施的发展需要有良好方法学基础的研究来探索物质滥用的原因和后果。本队列描述性研究论文概述了贝尔法斯特青年发展研究(BYDS)的设计,这是英国同类最大的队列研究之一。该研究旨在解决对长期前瞻性队列研究的需求,以调查物质使用的开始、持续和戒除,以及青少年和成年期的生命历程过程。本文概述了 BYDS 作为物质滥用的纵向数据源,并概述了研究措施、样本保留和特征。我们还概述了迄今为止 BYDS 数据的使用情况,并强调了有兴趣的研究人员未来可以开展的工作领域。
该研究始于 2000/1 年,当时参与者(n=3834)是北爱尔兰 40 多所学校的一年级小学生(年龄 10/11 岁,学校 8 年级)。儿童在学校期间接受了跟踪调查:第 9 年(2002 年;年龄 12 岁;n=4343)、第 10 年(2003 年;年龄 13 岁;n=4522)、第 11 年(2004 年;年龄 14 岁;n=3965)和第 12 年(2005 年;年龄 15 岁;n=3830),之后还有两次:2006/07 年(年龄 16/17 岁;n=2335)和 2010/11 年(年龄 20/21 岁;n=2087)。数据收集了物质使用、家庭、学校、社区、犯罪行为和心理健康方面的信息。该研究最新颖的方面是通过友谊提名收集详细的社交网络数据,允许通过友谊网络调查物质使用的传播。2004 年(第 11 学年;年龄 14 岁),还对部分参与者的父母(n=1097)和兄弟姐妹(n=211)进行了物质使用和家庭动态方面的测量。
最近一次(2010/2011 年;年龄 20/21 岁)的调查显示,该队列终生使用酒精、烟草和大麻的比例分别为 94%、70%和 45%。本文描述了药物使用行为的发展,目前已经提出了一些关键结果。我们还确定了一些感兴趣的研究人员可以进行分析的关键领域,包括性健康和教育。
我们建立了一个从青少年到成年早期的详细数据队列,补充了父母和兄弟姐妹的报告以及同伴网络数据。该数据集允许对青少年物质使用的轨迹、相关因素和随后的长期结果进行调查,是纵向物质滥用研究的重要资源。计划进行进一步的研究,以便在队列进入 20 多岁后期时进行研究,并有可能与行政数据来源联系起来,将进一步丰富数据集。