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1.
J Child Psychol Psychiatry ; 65(1): 31-41, 2024 Jan.
Article in English | MEDLINE | ID: mdl-37402634

ABSTRACT

BACKGROUND: Childhood maltreatment is associated with pervasive risk for depression. However, the immediate cognitive and neural mechanisms that mediate this risk during development are unknown. We here studied the impact of maltreatment on self-generated thought (SGT) patterns and their association with depressive symptoms, subcallosal cingulate cortex (SCC) thickness, and cortisol levels in children. METHODS: We recruited 183 children aged 6-12 years, 96 of which were exposed to maltreatment. Children performed a mind wandering task to elicit SGTs. A subgroup of children underwent structural magnetic resonance imaging (N = 155) for SCC thickness analyses and saliva collection for quantification of free cortisol concentrations (N = 126) was collected. Using network analysis, we assessed thought networks and compared these networks between children with and without maltreatment exposure. Using multilevel analyses, we then tested the association between thought networks of children with maltreatment exposure with depressive symptoms, SCC thickness, and cortisol levels. RESULTS: Children exposed to maltreatment generated fewer positively valenced thoughts. Network analysis revealed rumination-like thought patterns in children with maltreatment exposure, which were associated with depressive symptoms, SCC thickness, and cortisol levels. Children with maltreatment exposure further exhibited decreased future-self thought coupling, which was associated with depressive symptoms, while other-related and past-oriented thoughts had the greatest importance within the network. CONCLUSIONS: Using a novel network analytic approach, we provide evidence that children exposed to maltreatment exhibit ruminative clustering of thoughts, which is associated with depressive symptoms and neurobiological correlates of depression. Our results provide a specific target for clinical translation to design early interventions for middle childhood. Targeting thought patterns in children with maltreatment exposure may be an effective strategy to effectively mitigate depression risk early in life.


Subject(s)
Child Abuse , Depression , Humans , Child , Depression/psychology , Hydrocortisone , Gyrus Cinguli/diagnostic imaging , Child Abuse/psychology
2.
J Pers ; 87(3): 633-647, 2019 06.
Article in English | MEDLINE | ID: mdl-30003553

ABSTRACT

OBJECTIVE: Solitude is a ubiquitous experience, often confused with loneliness, yet sometimes sought out in daily life. This study aimed to identify distinct types of solitude experiences from everyday affect/thought patterns and to examine how and for whom solitude is experienced positively versus negatively. METHOD: One hundred community-dwelling adults aged 50-85 years (64% female; 56% East Asian, 36% European, 8% other/mixed heritage) and 50 students aged 18-28 years (92% female; 42% East Asian, 22% European, 36% other/mixed) each completed approximately 30 daily life assessments over 10 days on their current and desired social situation, thoughts, and affect. RESULTS: Multilevel latent profile analysis identified two types of everyday solitude: one characterized by negative affect and effortful thought (negative solitude experiences) and one characterized by calm and the near absence of negative affect/effortful thought (positive solitude experiences). Individual differences in social self-efficacy and desire for solitude were associated with everyday positive solitude propensity; trait self-rumination and self-reflection were associated with everyday negative solitude propensity. CONCLUSIONS: This study provides a new framework for conceptualizing everyday solitude. It identifies specific affect/thought patterns that characterize distinct solitude experience clusters, and it links these clusters with well-established individual differences. We discuss key traits associated with thriving in solitude.


Subject(s)
Loneliness/psychology , Social Isolation/psychology , Adolescent , Adult , Aged , Aged, 80 and over , Cognition , Female , Humans , Latent Class Analysis , Male , Middle Aged , Social Networking , Students , Surveys and Questionnaires , Universities , Young Adult
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