Evelien Dietvorst1, Marieke Hiemstra2, Dominique Maciejewski3, Eeske van Roekel4, Tom Ter Bogt5, Manon Hillegers6, Loes Keijsers7. 1. Department of Child and Adolescents Psychiatry/Psychology Erasmus MC- Sophia Children's Hospital, Erasmus University Medical Center, Rotterdam, the Netherlands. Electronic address: e.dietvorst@erasmusmc.nl. 2. Rijksinstituut voor Volksgezondheid en Milieu, Bilthoven, the Netherlands. Electronic address: marieke.hiemstra@rivm.nl. 3. Department of Developmental Psychology, Behavioral Science Institute, Radboud University, Nijmegen, the Netherlands. Electronic address: d.maciejewski@pwo.ru.nl. 4. Department of Developmental Psychology, Tilburg School of Behavioral and Social Sciences, Tilburg University, the Netherlands. Electronic address: g.h.vanroekel@tilburguniversity.edu. 5. Department of Interdisciplinary Social Science, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, the Netherlands. Electronic address: t.f.m.terbogt@uu.nl. 6. Department of Child and Adolescents Psychiatry/Psychology Erasmus MC- Sophia Children's Hospital, Erasmus University Medical Center, Rotterdam, the Netherlands. Electronic address: m.hillegers@erasmusmc.nl. 7. Erasmus School of Social and Behavioral Sciences, Erasmus University, Rotterdam, the Netherlands. Electronic address: keijsers@essb.eur.nl.
Abstract
INTRODUCTION: This study aimed at differentiating normative developmental turmoil from prodromal depressive symptoms in adolescence. METHOD: Negative and positive mood (daily) in different contexts (friends, home, school), and (subsequent) depressive symptoms were assessed in Dutch adolescents. RESULTS & CONCLUSION: Mixture modeling on one cross-sectional study, using a newly developed questionnaire (CSEQ; subsample 1a; n = 571; girls 55.9%; Mage = 14.17) and two longitudinal datasets with Experience Sampling Methods data (subsample 1b: n = 241; Mage = 13.81; 62.2% girls, sample 2: n = 286; 59.7% girls; Mage = 14.19) revealed three mood profiles: 18-24% "happy", 43-53% "typically developing", and 27-38% "at-risk". Of the "at-risk" profile between 12.5% and 25% of the adolescents scored above the clinical cut-off for depression. These mood profiles predicted later depressive symptoms, while controlling for earlier symptoms. In subsample 1b, parents were not always aware of the mental health status of their adolescent.
INTRODUCTION: This study aimed at differentiating normative developmental turmoil from prodromal depressive symptoms in adolescence. METHOD: Negative and positive mood (daily) in different contexts (friends, home, school), and (subsequent) depressive symptoms were assessed in Dutch adolescents. RESULTS & CONCLUSION: Mixture modeling on one cross-sectional study, using a newly developed questionnaire (CSEQ; subsample 1a; n = 571; girls 55.9%; Mage = 14.17) and two longitudinal datasets with Experience Sampling Methods data (subsample 1b: n = 241; Mage = 13.81; 62.2% girls, sample 2: n = 286; 59.7% girls; Mage = 14.19) revealed three mood profiles: 18-24% "happy", 43-53% "typically developing", and 27-38% "at-risk". Of the "at-risk" profile between 12.5% and 25% of the adolescents scored above the clinical cut-off for depression. These mood profiles predicted later depressive symptoms, while controlling for earlier symptoms. In subsample 1b, parents were not always aware of the mental health status of their adolescent.
Authors: Marion I van den Heuvel; Anne Bülow; Vera E Heininga; Elisabeth L de Moor; Loes H C Janssen; Mariek Vanden Abeele; Myrthe G B M Boekhorst Journal: Front Psychol Date: 2021-12-06
Authors: Evelien Dietvorst; Michelle A Aukes; Jeroen S Legerstee; Annabel Vreeker; Micah M Hrehovcsik; Loes Keijsers; Manon H J Hillegers Journal: JMIR Form Res Date: 2022-03-03
Authors: Daniel Zarate; Vasileios Stavropoulos; Michelle Ball; Gabriel de Sena Collier; Nicholas C Jacobson Journal: BMC Psychiatry Date: 2022-06-22 Impact factor: 4.144