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      School environment and mental health in early adolescence - a longitudinal study in Sweden (KUPOL)

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          Abstract

          Background

          Longitudinal studies indicate strong associations between school proficiency and indicators of mental health throughout adulthood, but the mechanisms of such associations are not fully elucidated. The Kupol study is a prospective cohort study in Sweden set up in order to: (i) describe the association of school pedagogic and social environment and its specific dimensions with the risk of mental ill-health and psychiatric disorders in adolescence; (ii) evaluate the direct effects of school pedagogic and social environment on mental health and the effects mediated by the individual’s academic achievements; and (iii) assess if school pedagogic and social environment are associated with mental ill-health through epigenetic mechanisms, in particular those involving genes regulating the response to stress.

          Methods

          The Kupol cohort at baseline consists of 3959 children attending the 7th grade of compulsory school (13–14 years old) in 8 regions of central Sweden in the school years 2013–2014 or 2014–2015. Three follow-up surveys in subsequent years are planned. Teachers’ and students’ perceptions of the culture, climate and ethos of their schools, and students’ mental ill-health are assessed at the whole school level by annual questionnaire surveys. In order to conduct epigenetic analyses saliva specimens are collected from a nested sample of students at inception and two years later. Further, class-, family- and child-level information is collected at baseline and during each year of follow-up. Self-reported information is being complemented with register data via record-linkages to national and regional health and administrative registers.

          Discussion

          The topic being investigated is new, and the sample constitutes the largest adolescent cohort in Sweden involved in an ad hoc study. Epigenetic analyses centered on environmental cues to stress response are a thoroughly new approach. Finally a notable feature is the multi-informant and multi-method data collection, with surveys at the school, class, family, and student level. Collaboration and data access: interested investigators should contact the coordinating centre. Additional information is available on the study’s website, http://kupolstudien.se/.

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          Most cited references5

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          Screening for depressive disorder in children and adolescents: validating the Center for Epidemiologic Studies Depression Scale for Children.

          The utility of the Center for Epidemiologic Studies Depression Scale for Children (CES-DC), a modified version of the Center for Epidemiologic Studies Depression Scale, was explored in a sample of children, adolescents, and young adults at high or low risk for depression according to their parents' diagnosis. Proband parents were participants in the Yale Family Study of Major Depression who had children between the ages of 6 and 23 years. Diagnostic and self-report information on offspring was collected over two waves, spaced 2 years apart, from 1982 to 1986. Support was obtained for the reliability and validity of the CES-DC as a measure of depressive symptoms, especially for girls and for children and adolescents aged 12-18 years. Children with major depressive disorder or dysthymia, as defined by the Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III), had elevated scores in comparison with all other respondents. The CES-DC lacked diagnostic specificity; children with a range of current DSM-III diagnoses had elevated scores on the measure. A cutoff point of 15 and above for screening children and adolescents for current major depressive disorder or dysthymia may be optimal. Depressed respondents scoring below this cutoff point (false negatives) showed better social adjustment than true positives; nondepressed respondents scoring above this cutoff point (false positives) showed worse adjustment than true negatives. Factor analysis was used to construct an abbreviated, four-item version of the scale. The abbreviated scale was shown to be useful as a screen.
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            Longitudinal associations between depressive problems, academic performance, and social functioning in adolescent boys and girls.

            Depressive problems and academic performance, social well-being, and social problems in adolescents are strongly associated. However, longitudinal and bidirectional relations between the two remain unclear, as well as the role of gender. Consequently, this study focuses on the relation between depressive problems and three types of functioning in adolescents while testing gender differences. Depressive problems and functioning of 2,230 children were measured with structured questionnaires. The measurements took place biennially over 3 waves, from late childhood into adolescence (age range = 10-18 years). To examine the longitudinal relation between depression and functioning, path analyses with cross-lagged effects were conducted with structural equation modeling. Multigroup analyses were used to test for gender differences, which were only observed for academic performance. Other findings indicated substantial stability in depressive problems and functioning over time and within-wave correlations between depression and the 3 types of functioning. Poor social well-being was predicted by depressive problems but not the other way around. The relation between depressive and social problems was bidirectional, that is, they predicted each other. Finally, depressive problems and academic performance were bidirectionally related as well but only in girls.
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              The epigenetics of social adversity in early life: implications for mental health outcomes.

              An organism's behavioral and physiological and social milieu influence and are influenced by the epigenome, which is composed predominantly of chromatin and the covalent modification of DNA by methylation. Epigenetic patterns are sculpted during development to shape the diversity of gene expression programs in the organism. In contrast to the genetic sequence, which is determined by inheritance and is virtually identical in all tissues, the epigenetic pattern varies from cell type to cell type and is potentially dynamic throughout life. It is postulated here that different environmental exposures, including early parental care, could impact epigenetic patterns, with important implications for mental health in humans. Because epigenetic programming defines the state of expression of genes, epigenetic differences could have the same consequences as genetic polymorphisms. Yet in contrast to genetic sequence differences, epigenetic alterations are potentially reversible. This review will discuss basic epigenetic mechanisms and how epigenetic processes early in life might play a role in defining inter-individual trajectories of human behavior. In this regard, we will examine evidence for the possibility that epigenetic mechanisms can contribute to later-onset neurological dysfunction and disease. (c) 2010 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                +46 8 12337165 , rosaria.galanti@ki.se
                Hanna.Hultin@ki.se
                christina.dalman@ki.se
                Karin.Engstrom@ki.se
                laura.ferrer-wreder@psychology.su.se
                Yvonne.Forsell@ki.se
                martin.karlberg@edu.uu.se
                Catharina.Lavebratt@ki.se
                Cecilia.Magnusson@ki.se
                Knut.Sundell@sbu.se
                jia.zhou@ki.se
                melody.almroth@ki.se
                elena.raffetti@ki.se
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                16 July 2016
                16 July 2016
                2016
                : 16
                : 243
                Affiliations
                [ ]Department of Public Health Sciences, Centre for Epidemiology and Community Medicine (CES), Stockholm County’s Health Care District (SLSO), Karolinska Institutet, Widerströmska Huset, Tomtebodavägen 18a, 17177 Stockholm, Sweden
                [ ]Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
                [ ]Department of Psychology, Stockholm University, Stockholm, Sweden
                [ ]Department of Education, Uppsala University, Stockholm, Sweden
                [ ]Center for Molecular Medicine, Karolinska Institutet, University Hospital Sweden, Stockholm, Sweden
                [ ]The Swedish Agency for Health Technology Assessment and Assessment of the Social Services, SBU, Stockholm, Sweden
                Author information
                http://orcid.org/0000-0002-7805-280X
                Article
                919
                10.1186/s12888-016-0919-1
                4947256
                27421757
                2a31da66-2fca-4d70-ac2c-ad06b054c4e2
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 1 May 2016
                : 8 June 2016
                Funding
                Funded by: FundRef , Formas;
                Award ID: 259-212-48
                Award Recipient :
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2016

                Clinical Psychology & Psychiatry
                school environment,mental health,adolescence
                Clinical Psychology & Psychiatry
                school environment, mental health, adolescence

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