Abebe Dawit Shawel, Frøyland Lars Roar, Bakken Anders, von Soest Tilmann
Norwegian Social Research (NOVA), Oslo and Akershus University College of Applied Sciences, Norway
Norwegian Social Research (NOVA), Oslo and Akershus University College of Applied Sciences, Norway.
Scand J Public Health. 2016 Feb;44(1):47-54. doi: 10.1177/1403494815604764. Epub 2015 Sep 14.
This study aimed to investigate municipal-level variations and individual- and municipal-level predictors of high levels of depressive symptoms among Norwegian adolescents.
We used data from the Norwegian cross-national Ungdata study. We included 77,424 adolescents from 171 municipalities attending junior high school (Grades 8-10; age 13-16 years) from 2011 to 2013. Multilevel (two-level) logistic regression models were applied for the data analyses.
The study revealed that 11% of adolescents reported high levels of depressive symptoms. The median odds ratio without adjusting for any individual- or municipal-level predictors was 1.24, indicating a small between-municipalities variability for high levels of depressive symptoms. All individual-level factors, such as gender, school grade, family income, substance use behaviours, bullying and dissatisfaction with different aspects of life, were significantly associated with high levels of depressive symptoms (p < 0.05). As to municipal-level factors, a low annual budgets for municipal health services was the sole significant predictor of high levels of depressive symptoms between municipalities. Municipal-level factors and variables related to survey characteristics explained a moderate proportion of the variation in high levels of depressive symptoms between municipalities.
The cluster heterogeneity in high levels of depressive symptoms was small between municipalities in Norway. Further research should examine the geographic clustering of mental health problems at the school and neighbourhood level.
本研究旨在调查挪威青少年中抑郁症状高水平的市级差异以及个体和市级层面的预测因素。
我们使用了挪威跨国青少年数据研究(Ungdata)中的数据。纳入了2011年至2013年来自171个市的77424名初中生(8 - 10年级;年龄13 - 16岁)。数据分析采用多水平(两级)逻辑回归模型。
研究显示,11%的青少年报告有高水平的抑郁症状。在不调整任何个体或市级层面预测因素的情况下,中位数优势比为1.24,表明市级之间抑郁症状高水平的变异性较小。所有个体层面的因素,如性别、年级、家庭收入、物质使用行为、欺凌以及对生活不同方面的不满,都与高水平的抑郁症状显著相关(p < 0.05)。至于市级层面的因素,市级卫生服务年度预算低是市级之间抑郁症状高水平的唯一显著预测因素。市级层面的因素和与调查特征相关的变量解释了市级之间抑郁症状高水平变异的适度比例。
挪威各市之间抑郁症状高水平的聚类异质性较小。进一步的研究应在学校和社区层面检查心理健康问题的地理聚类情况。