BACKGROUND: Previous research examining the development of anxious and depressive symptoms (i.e., internalizing symptoms) from childhood to adolescence has often assumed that trajectories of these symptoms do not vary across individuals. The purpose of this study was to identify distinct trajectories of internalizing symptoms from childhood to adolescence, and to identify risk factors for membership in these trajectory groups. In particular, we sought to identify risk factors associated with early appearing (i.e., child onset) symptoms versus symptoms that increase in adolescence (i.e., adolescent onset). METHOD: Drawing on longitudinal data from the National Longitudinal Survey of Children and Youth, latent class growth modeling (LCGM) was used to identify distinct trajectories of internalizing symptoms for 6,337 individuals, from age 4-5 to 14-15. Multinomial regression was used to examine potential early-life risk factors for membership in a particular trajectory group. RESULTS: Five trajectories were identified as follows: "low stable" (68%; reference group), "adolescent onset" (10%), "moderate stable" (12%), "high childhood" (6%), and "high stable" (4%). Membership in the "adolescent onset" group was predicted by child gender (greater odds for girls), stressful life events, hostile parenting, aggression, and hyperactivity. Membership in the "high stable" and "high childhood" trajectory groups (i.e., child-onset) was additionally predicted by maternal depression, family dysfunction, and difficult temperament. Also, several significant gender interactions were observed. CONCLUSIONS: Causal mechanisms for child and adolescent depression and anxiety may differ according to time of onset, as well as child gender. Some early factors may put girls at greater risk for internalizing problems than boys.
BACKGROUND: Previous research examining the development of anxious and depressive symptoms (i.e., internalizing symptoms) from childhood to adolescence has often assumed that trajectories of these symptoms do not vary across individuals. The purpose of this study was to identify distinct trajectories of internalizing symptoms from childhood to adolescence, and to identify risk factors for membership in these trajectory groups. In particular, we sought to identify risk factors associated with early appearing (i.e., child onset) symptoms versus symptoms that increase in adolescence (i.e., adolescent onset). METHOD: Drawing on longitudinal data from the National Longitudinal Survey of Children and Youth, latent class growth modeling (LCGM) was used to identify distinct trajectories of internalizing symptoms for 6,337 individuals, from age 4-5 to 14-15. Multinomial regression was used to examine potential early-life risk factors for membership in a particular trajectory group. RESULTS: Five trajectories were identified as follows: "low stable" (68%; reference group), "adolescent onset" (10%), "moderate stable" (12%), "high childhood" (6%), and "high stable" (4%). Membership in the "adolescent onset" group was predicted by child gender (greater odds for girls), stressful life events, hostile parenting, aggression, and hyperactivity. Membership in the "high stable" and "high childhood" trajectory groups (i.e., child-onset) was additionally predicted by maternal depression, family dysfunction, and difficult temperament. Also, several significant gender interactions were observed. CONCLUSIONS: Causal mechanisms for child and adolescent depression and anxiety may differ according to time of onset, as well as child gender. Some early factors may put girls at greater risk for internalizing problems than boys.
Authors: Marilyn N Ahun; Angele Consoli; Jean-Baptiste Pingault; Bruno Falissard; Marco Battaglia; Michel Boivin; Richard E Tremblay; Sylvana M Côté Journal: Eur Child Adolesc Psychiatry Date: 2017-12-22 Impact factor: 4.785
Authors: Amery Treble-Barna; Huaiyu Zang; Nanhua Zhang; H Gerry Taylor; Terry Stancin; Keith Owen Yeates; Shari L Wade Journal: Dev Psychol Date: 2016-11
Authors: Alex S F Kwong; José A López-López; Gemma Hammerton; David Manley; Nicholas J Timpson; George Leckie; Rebecca M Pearson Journal: JAMA Netw Open Date: 2019-06-05
Authors: Alex S F Kwong; David Manley; Nicholas J Timpson; Rebecca M Pearson; Jon Heron; Hannah Sallis; Evie Stergiakouli; Oliver S P Davis; George Leckie Journal: J Youth Adolesc Date: 2019-01-22
Authors: Ymkje Anna de Vries; Ali Al-Hamzawi; Jordi Alonso; Laura Helena Andrade; Corina Benjet; Ronny Bruffaerts; Brendan Bunting; Giovanni de Girolamo; Silvia Florescu; Oye Gureje; Josep Maria Haro; Aimee Karam; Elie G Karam; Norito Kawakami; Viviane Kovess-Masfety; Sing Lee; Zeina Mneimneh; Fernando Navarro-Mateu; Akin Ojagbemi; José Posada-Villa; Kate Scott; Juan Carlos Stagnaro; Yolanda Torres; Miguel Xavier; Zahari N Zarkov; Ronald C Kessler; Peter de Jonge Journal: Psychol Med Date: 2020-11-10 Impact factor: 10.592