Examining Patterns of Depressive Symptoms Among Black Youth in Economically Disinvested Urban Communities: A Latent Class Analysis.

The current study used a person-centered analytic approach to identify distinct classes of depressive symptoms among Black adolescents in under-resourced, urban communities and examined demographic and contextual factors related to class differences. Participants were 403 Black adolescents (ages 11–...

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Publicado en:Research on Child & Adolescent Psychopathology Vol. 53; no. 7; pp. 983 - 999
Autores principales: Alli, Jasmine, Gaylord-Harden, Noni, Jenkins, Esther
Formato: Artículo
Publicado: Springer Nature Jul2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2025
      vid: 53
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      pub: Springer Nature
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        10.1007/s10802-025-01314-0
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        atl: Examining Patterns of Depressive Symptoms Among Black Youth in Economically Disinvested Urban Communities: A Latent Class Analysis.
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        au:
          Alli, Jasmine
          Gaylord-Harden, Noni
          Jenkins, Esther
        affil:
          https://ror.org/01f5ytq51 Department of Psychological and Brain Sciences, Texas a&M University, 230 Psychology Bldg., 77843-4235, College Station, TX, USA
          https://ror.org/05ekwbr88 Department of Psychology and Counseling, Chicago State University, Chicago, IL, USA
      su:
        Black youth
        Violence in the community
        Mental depression
        Sociocultural factors
        Urban community development
        Mood (Psychology)
        Latent class analysis (Statistics)
        Anhedonia
      sug:
        subj:
          Black youth
          Violence in the community
          Mental depression
          Sociocultural factors
          Urban community development
          Mood (Psychology)
          Administration of Urban Planning and Community and Rural Development
          Latent class analysis (Statistics)
          Anhedonia
      keyword:
        Black Adolescents
        Community Violence
        Depression
        Social Support
        Black Adolescents
        Community Violence
        Depression
        Social Support
      ab: The current study used a person-centered analytic approach to identify distinct classes of depressive symptoms among Black adolescents in under-resourced, urban communities and examined demographic and contextual factors related to class differences. Participants were 403 Black adolescents (ages 11–15, 54% female) who completed self-report surveys. Latent class analysis identified three depressive symptom classes: A Moderate Anhedonia/Mild Dysphoric Mood class endorsing moderate affective symptoms with lower cognitive and somatic symptoms; a High Cognitive-Affective-Somatic class endorsing high cognitive, affective, and somatic symptoms; and a Mild Somatic Complaints class with moderate endorsement of somatic symptoms and lower cognitive and affective symptoms. Girls were more likely to be in the High Cognitive-Affective-Somatic class and the Mild Somatic Complaints than the Moderate Anhedonia/Mild Dysphoric Mood class. Youth with fathers who had higher levels of schooling were more likely to be in the High Cognitive-Affective-Somatic class than both the Moderate Anhedonia/Mild Dysphoric Mood and Somatic Complaints classes. Additionally, youth with more community violence exposure were more likely to be in the High Cognitive-Affective-Somatic class than the Moderate Anhedonia/Mild Dysphoric Mood, whereas youth with lower levels of community violence exposure were more likely to be in the Mild Somatic Complaints class than both the Moderate Anhedonia/Mild Dysphoric Mood and High Cognitive-Affective-Somatic classes. Finally, youth with more peer and family support were more likely to be in the Mild Somatic Complaints class than the High Cognitive-Affective-Somatic class. These findings highlight the heterogeneity of depressive symptom expression among Black adolescents and the importance of sociocultural considerations in clinical practice.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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