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Journal Article

Citation

Abebe DS, Frøyland LR, Bakken A, von Soest T. Scand. J. Public Health 2015; 44(1): 47-54.

Affiliation

Norwegian Social Research (NOVA), Oslo and Akershus University College of Applied Sciences, Norway Department of Psychology, University of Oslo, Norway.

Copyright

(Copyright © 2015, Associations of Public Health in the Nordic Countries Regions, Publisher SAGE Publishing)

DOI

10.1177/1403494815604764

PMID

26369945

Abstract

AIM: This study aimed to investigate municipal-level variations and individual- and municipal-level predictors of high levels of depressive symptoms among Norwegian adolescents.

METHODS: 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.

RESULTS: 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.

CONCLUSIONS: 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.


Language: en

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