The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 4 of 7
Back to Result List

Developmental problems in adolescence

  • This longitudinal study investigated patterns of developmental problems across depression, aggression, and academic achievement during adolescence, using two measurement points two years apart (N = 1665; age T1: M = 13.14; female = 49.6%). Latent Profile Analyses and Latent Transition Analyses yielded four main findings: A three-type solution provided the best fit to the data: an asymptomatic type (i.e., low problem scores in all three domains), a depressed type (i.e., high scores in depression), an aggressive type (i.e., high scores in aggression). Profile types were invariant over the two data waves but differed between girls and boys, revealing gender specific patterns of comorbidity. Stabilities over time were high for the asymptomatic type and for types that represented problems in one domain, but moderate for comorbid types. Differences in demographic variables (i.e., age, socio-economic status) and individual characteristics (i.e., self-esteem, dysfunctional cognitions, cognitive capabilities) predicted profile type membershipsThis longitudinal study investigated patterns of developmental problems across depression, aggression, and academic achievement during adolescence, using two measurement points two years apart (N = 1665; age T1: M = 13.14; female = 49.6%). Latent Profile Analyses and Latent Transition Analyses yielded four main findings: A three-type solution provided the best fit to the data: an asymptomatic type (i.e., low problem scores in all three domains), a depressed type (i.e., high scores in depression), an aggressive type (i.e., high scores in aggression). Profile types were invariant over the two data waves but differed between girls and boys, revealing gender specific patterns of comorbidity. Stabilities over time were high for the asymptomatic type and for types that represented problems in one domain, but moderate for comorbid types. Differences in demographic variables (i.e., age, socio-economic status) and individual characteristics (i.e., self-esteem, dysfunctional cognitions, cognitive capabilities) predicted profile type memberships and longitudinal transitions between types.show moreshow less

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Julia TetznerORCiDGND, Reinhold KlieglORCiDGND, Barbara KrahéORCiDGND, Robert BuschingORCiDGND, Günter EsserORCiDGND
DOI:https://doi.org/10.1016/j.appdev.2017.08.003
ISSN:0193-3973
ISSN:1873-7900
Title of parent work (English):Journal of Applied Developmental Psychology
Subtitle (English):a person-centered analysis across time and domains
Publisher:Elsevier
Place of publishing:New York
Publication type:Article
Language:English
Year of first publication:2017
Publication year:2017
Release date:2021/02/09
Tag:Academic achievement; Adolescence; Aggression; Depression; Person-centered approach
Volume:53
Number of pages:14
First page:40
Last Page:53
Funding institution:German Research Foundation as part of the Graduate College "Intrapersonal developmental risk factors in childhood and adolescence: A longitudinal perspective" [GRK 1668]
Organizational units:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie
DDC classification:1 Philosophie und Psychologie / 15 Psychologie / 150 Psychologie
Peer review:Referiert
Publishing method:Open Access / Green Open-Access
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.