Bannink Rienke, Broeren Suzanne, Heydelberg Jurriën, van't Klooster Els, Raat Hein
Department of Public Health, Erasmus University Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, the Netherlands.
Municipality of Rotterdam, Librijesteeg 4, 3000, KS, Rotterdam, the Netherlands.
BMC Public Health. 2015 Apr 18;15:396. doi: 10.1186/s12889-015-1692-7.
Depressive symptoms and risk behaviours often do not occur in isolation among adolescents and young adults. In order to improve intervention programmes, more research is needed to elucidate the clustering of risk behaviours, the association with depressive symptoms, and demographic variables. Therefore, this study examined the clustering of risk behaviours, the association with depressive symptoms, and demographic variables among adolescents and young adults in vocational education. Furthermore, the prevalence of depressive symptoms and risk behaviours was examined.
This study included 584 students (mean age 18.3 years) attending vocational education in the Netherlands. Depressive symptoms and risk behaviours (binge drinking, cannabis use, smoking, delinquency and incurring debts) were assessed with self-report questionnaires. Truancy was monitored via the school registration system. Principal Components Analysis (PCA) was conducted to assess the factor structure of the risk behaviours (i.e. clustering). Linear regression analyses with a bootstrapping method were performed to assess the associations.
Binge drinking was reported by 50.5% and cannabis use by 14.2% of the students (both in the past 4 weeks), whereas 37.7% reported currently being a smoker. More than 10% reported having been questioned at a police station in the past year. Furthermore, 82.2% had been truanting in the first two months of education, 21.0% reported having debts and 29.2% reported clinically-relevant depressive symptoms. The PCA indicated two clusters. The 'substance use' cluster consisted of the risk behaviours: binge drinking, cannabis use and smoking. The 'problem behaviours' cluster consisted of the risk behaviours: delinquency, truancy and incurring debts. Both clusters were associated with depressive symptoms. Various demographic variables were associated with both clusters.
Risk behaviours formed two clusters, both of which were associated with depressive symptoms. These findings underscore the importance of screening adolescents and young adults at lower educational levels for multiple risk behaviours and depressive symptoms and of focusing on multiple risk behaviours in interventions simultaneously.
抑郁症状和危险行为在青少年和青年中往往并非单独出现。为了改进干预项目,需要更多研究来阐明危险行为的聚集情况、与抑郁症状的关联以及人口统计学变量。因此,本研究调查了职业教育中的青少年和青年的危险行为聚集情况、与抑郁症状的关联以及人口统计学变量。此外,还调查了抑郁症状和危险行为的患病率。
本研究纳入了荷兰584名接受职业教育的学生(平均年龄18.3岁)。通过自我报告问卷评估抑郁症状和危险行为(暴饮、使用大麻、吸烟、犯罪和欠债)。通过学校注册系统监测逃学情况。进行主成分分析(PCA)以评估危险行为的因素结构(即聚集情况)。采用自抽样法进行线性回归分析以评估关联。
50.5%的学生报告有暴饮行为,14.2%的学生报告在过去4周内使用过大麻,而37.7%的学生报告目前吸烟。超过10%的学生报告在过去一年中曾在警察局接受询问。此外,82.2%的学生在入学的前两个月有逃学行为,21.0%的学生报告有债务,29.2%的学生报告有临床相关的抑郁症状。主成分分析表明有两个聚类。“物质使用”聚类包括危险行为:暴饮、使用大麻和吸烟。“问题行为”聚类包括危险行为:犯罪、逃学和欠债。两个聚类均与抑郁症状相关。各种人口统计学变量与两个聚类均有关联。
危险行为形成两个聚类,二者均与抑郁症状相关。这些发现强调了筛查低教育水平的青少年和青年的多种危险行为和抑郁症状以及在干预中同时关注多种危险行为的重要性。