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      Cross-sectional relationship of perceived familial protective factors with depressive symptoms in vulnerable youth

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          Abstract

          Background

          There are multiple negative consequences associated with heavy episodic drinking and close associations between substance abuse and depression, alcohol-intoxicated adolescents (AIA) represent a vulnerable group. We aim to add to the current literature by investigating the cross-sectional relationship of perceived familial protective factors with depressive symptoms in AIA in hospitals, with respect to sex. Depression is among the 10 leading causes of disabilities during childhood and adolescence, with girls being more vulnerable than boys. Considerable evidence reveals a strong association between depression and alcohol abuse. The family provides the possibility to positively influence depressive symptoms.

          Methods

          We present cross-sectional data of a German multisite, epidemiological cohort study on AIA. By using youth’s self-reports, we assessed sociodemographic data, as well as data on perceived familial protective factors and depressive symptoms using items of the Communities that Care Youth Survey instrument. We performed descriptive and multigroup analyses to evaluate the measurement invariance of the used instruments. Moreover, to investigate the relationships between the constructs, we used structural equation modelling.

          Results

          The study sample comprised 342 AIA, with a mean age of 15.5 years (SD = 1.2; 48.1% girls). The final structural equation model achieved an acceptable model fit of χ 2 (69, 342) = 110.056; p = .001; TLI = 0.97; CFI = 0.98; RMSEA = 0.046; SRMR = 0.042, and the rewards for prosocial involvement in the family context correlated significantly negatively with present depressive symptoms, (ß = − 0.540, p <  0.001). The effects were stronger in boys (ß = − 0.576, p <  0.001) than in girls (ß = − 0.519, p <  0.001).

          Conclusion

          In vulnerable youth in Germany, depressive symptoms are correlated to good experiences within the family. Future research should assess whether interventions that enhance parental support reduce the risk of depressive symptoms in AIA. Our findings highlight the need for family-based prevention programmes, particularly for AIA with an increased risk of depression.

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          Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

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            Structural Equation Modeling with AMOS : Basic Concepts, Applications, and Programming

            <p>This bestselling text provides a practical guide to the basic concepts of structural equation modeling (SEM) and the AMOS program (Versions 17 & 18). The author reviews SEM applications based on actual data taken from her research. Noted for its non-mathematical language, this book is written for the novice SEM user. With each chapter, the author "walks" the reader through all steps involved in testing the SEM model including: </p><ul><p><li>an explanation of the issues addressed </li><p></p><p><li>an illustration of the hypothesized and posthoc models tested </li><p></p><p><li>AMOS input and output with accompanying interpretation and explanation</li><p></p><p><li>The function of the AMOS toolbar icons and their related pull-down menus</li><p></p><p><li>The data and published reference upon which the model was based.</li><p></p></ul><p></p><p>With over 50% new material, highlights of the new edition include:</p><ul><p><li>All new screen shots featuring Version 17 of the AMOS program </li><p></p><p><li>All data files now available at www.psypress.com/sem-with-amos </li><p></p><p><li>Application of a multitrait-mulitimethod model, latent growth curve model, and second-order model based on categorical data</li><p></p><p><li>All applications based on the most commonly used graphical interface</li><p></p><p><li>The automated multi-group approach to testing for equivalence</li><p></p></ul><p></p><p>The book opens with an introduction to the fundamental concepts of SEM and the basics of the AMOS program. The next 3 sections present applications that focus on single-group, multiple-group, and multitrait-mutimethod and latent growth curve models. The book concludes with a discussion about non-normal and missing (incomplete) data and two applications capable of addressing these issues. </p><p></p><p>Intended for researchers, practitioners, and students who use SEM and AMOS in their work, this book is an ideal resource for graduate level courses on SEM taught in departments of psychology, education, business, and other social and health sciences and/or as a supplement in courses on applied statistics, multivariate statistics, statistics II, intermediate or advanced statistics, and/or research design. Appropriate for those with limited or no previous exposure to SEM, a prerequisite of basic statistics through regression analysis is recommended. </p>
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              The social development model: An integrated approach to delinquency prevention.

              This paper describes a comprehensive developmental approach to preventing youth crime based on the social development model, an integration of social control theory and social learning theory. The model asserts that the most important units of socialization, family, schools, peers, and community, influence behavior sequentially. Positive socialization is achieved when youths have the opportunity within each unit to be involved in conforming activities, when they develop skills necessary to be successfully involved, and when those with whom they interact consistently reward desired behaviors. These conditions should increase attachment to others, commitment to conforming behavior, and belief in the conventional order. These social bonds to conventional society inhibit association with delinquent pers and, in turn, prevent delinquent behavior. The paper describes prevention approaches consistent with the model. Rigorous evaluation of the delinquency prevention effects of these interventions is needed.
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                Author and article information

                Contributors
                0761 682 648 , hanna.schwendemann@ph-freiburg.de
                heidi.kuttler@cooptima.de
                ThomasMoessle@hfpol-bw.de
                evamaria.bitzer@ph-freiburg.de
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                7 February 2018
                7 February 2018
                2018
                : 18
                : 36
                Affiliations
                [1 ]Pädagogische Hochschule Freiburg/University of Education, Kunzenweg 21, 79117 Freiburg, Germany
                [2 ]Cooptima, Talweg 44, 79540 Lörrach, Germany
                [3 ]State Police College Baden-Württemberg, Sturmbühlstraße 250, 78054 Villingen-Schwenningen, Germany
                Article
                1618
                10.1186/s12888-018-1618-x
                5804045
                29415711
                f308acd2-76c0-4074-a8ef-6c3be6600a7d
                © The Author(s). 2018

                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
                : 13 February 2017
                : 25 January 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003107, Bundesministerium für Gesundheit;
                Award ID: IIA5-2511DSM220
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Clinical Psychology & Psychiatry
                depressive symptoms,adolescents,familial protective factors,resilience,family structure

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