表征青少年负面情绪的个人轨迹:纵向聚类方法

IF 3.2 1区 心理学 Q2 PSYCHOLOGY, DEVELOPMENTAL
Katherine A. Grisanzio, Patrick Mair, Leah H. Somerville
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引用次数: 0

摘要

虽然日常的负面影响在青春期正常地上升,但情绪体验也在个体之间分层或分化。此外,消极情绪不是一个单一的结构,而是由不同的感觉状态(例如,悲伤、愤怒、焦虑)组成,每种状态都有不同的年龄相关趋势。然而,大多数发展研究依赖于横断面方法,将负面影响视为单一维度,限制了对青春期离散负面影响的颗粒状、个人轨迹的洞察。在目前的研究中,我们的目标是使用来自人类连接组发展项目的三波纵向样本(跨越~ 2.5年,N = 251,基线年龄9-15岁)来表征这些轨迹进行分析。在每次访问中,参与者完成自我报告测量,评估不同形式的负面影响——悲伤、愤怒、评估性焦虑和一般焦虑——以及一系列社会和全球功能结果。分析揭示了三个不同的青少年亚组:一组每日负性情绪较低,仅随着年龄的增长而适度上升;一组每日负性情绪中等,随着年龄的增长而显著上升;另一组每日负性情绪开始较高,并随着年龄的增长而继续加剧。这些集群在社会功能和生活满意度的外部功能结果测量上有意义的差异。此外,回归分析显示,特定负面情绪类型的斜率对某些结果提供了独特的预测价值,强调了在青少年情绪体验调查中保持情感粒度的重要性。这些发现通过揭示特定的负面影响轨迹模式和离散的影响类型来帮助完善青少年情绪发展的理论,这些影响类型最能预测随后的幸福感。我们使用纵向聚类方法来描述9-15岁基线个体的负面情感经历的个人轨迹。虽然平均而言,负面情绪在青春期会增加,但在这一时期,个体之间存在很大程度的差异,这促使人们对其潜在结构进行调查。有限混合模型揭示了三个潜在的亚组个体在消极情绪的强度和发展轨迹上存在差异,并且在功能结果测量上存在差异。研究结果提高了描述典型年龄相关影响轨迹的粒度,并突出了幸福感较差的高风险个体亚群。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing Within-Person Trajectories of Negative Affect Across Adolescence: A Longitudinal Clustering Approach

While day-to-day negative affect normatively rises across adolescence, emotional experiences also stratify, or diverge, across individuals. Moreover, negative affect is not a unitary construct but comprises distinct feeling states (e.g., sadness, anger, anxiety), each characterized by distinct age-related trends. Yet, most developmental research relies on cross-sectional approaches and treats negative affect as a singular dimension, limiting insights into the granular, within-person trajectories of discrete negative affects across adolescence. In the current study, we aimed to characterize these trajectories using a three-wave longitudinal sample (spanning ∼2.5 years, N = 251, aged 9–15 years at baseline) from the Human Connectome Project in Development for analysis. At each visit, participants completed self-report measures assessing different forms of negative affect—sadness, anger, evaluative anxiety, and general anxiety—and a range of social and global functional outcomes. Analyses revealed three distinct subgroups of adolescents—one whose daily negative affect was low and rose only modestly with age, one whose daily negative affect was moderate and rose more significantly with age, and one whose daily negative affect started high and continued to intensify with age. These clusters meaningfully differentiated on external functional outcome measures of social functioning and life satisfaction. Additionally, regression analyses revealed that slopes for specific negative affect types provided unique predictive value for certain outcomes, emphasizing the importance of preserving affective granularity in investigations of adolescent emotional experience. These findings help to refine theories of adolescent emotional development by revealing the specific negative affect trajectory patterns and discrete affect types most predictive of subsequent well-being.

Summary

  • We used a longitudinal clustering approach to characterize within-person trajectories of negative affective experiences in individuals 9–15 years at baseline.
  • While on average, negative affect increases across adolescence, there is a large degree of variability between individuals across this period of life, motivating an investigation of its underlying structure.
  • Finite mixture models revealed three latent subgroups of individuals differing both in the intensity and developmental trajectories of negative affect and that differentiated on functional outcome measures.
  • Findings enhance the granularity in describing typical age-related affect trajectories and highlight subgroups of individuals at a higher risk of experiencing poorer well-being.
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来源期刊
CiteScore
8.10
自引率
8.10%
发文量
132
期刊介绍: Developmental Science publishes cutting-edge theory and up-to-the-minute research on scientific developmental psychology from leading thinkers in the field. It is currently the only journal that specifically focuses on human developmental cognitive neuroscience. Coverage includes: - Clinical, computational and comparative approaches to development - Key advances in cognitive and social development - Developmental cognitive neuroscience - Functional neuroimaging of the developing brain
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