42 research outputs found

    Beyond main effects?: Affect level as a moderator in the relation between affect dynamics and depressive symptoms

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    There are opposing views on the relative adaptiveness of affective change and its role in depression. Some studies link depression to more changes in affect (i.e., higher variability), others to a greater resistance to change (i.e., higher inertia). Our study provides an explanation for such inconsistencies by hypothesizing that the relation between affect dynamics and depression differs as a function of mean levels of affect. We analyzed data from seven studies that measured affect in daily life in adolescents and young adults (N = 1,448, age range = 11.7-29.9 years, 64.8% females). We tested main and interaction effects of affect dynamics (variability and inertia) and affect level on depressive symptoms, separately for positive affect (PA) and negative affect (NA). For PA, we found mostly main, but no interaction effects. Depressive symptoms were associated with more PA variability and less PA inertia, indicating that depressive symptoms in young people may be characterized by more fluctuating PA, independent of PA mean levels. For NA, we found a significant moderation effect between NA variability and NA levels for depressive symptoms at baseline. For individuals with low NA levels, high NA variability was associated with more depressive symptoms. In contrast, for individuals with high NA levels, high NA variability was associated with fewer depressive symptoms. These results suggest that the relative adaptiveness of NA variability depends on overall NA levels and underscores the need for a more nuanced understanding of affect variability in depression

    Fotografia S353

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    Contemporary quantitative statistical methods for family psychology

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    Item does not contain fulltextThis chapter discusses some contemporary statistical methods and their application in the field of family psychology. It focuses on longitudinal data analyses, because the author believes that family psychology benefits from longitudinal designs. The chapter outlines some key issues in operationalizing constructs - that is, measurement models, including latent factor modeling and measurement invariance. It turns to basic and advanced statistical methods for describing and explaining the associations between constructs. Basic statistical methods include moderation and mediation analyses, whereas advanced statistical methods include developmental cascade models, growth curve models, latent difference score models, and growth mixture models. The discussion of each method begins with a description of the statistical techniques, followed by a relevant study in the field of family psychology, used as an illustration of that particular method. The chapter concludes with a general discussion of statistical methods and future directions for their use in the field of family psychology

    Expanding the theory of planned behavior to explain energy dense food intentions among early adolescents in Indonesia

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    The aim of this study is to examine an extended model of the Theory of Planned Behavior (TPB) and increase insight into the intentions to consume energy-dense food among adolescents in Indonesia. This study included 411 adolescents from private schools who reported their intentions to consume energy-dense food the next day and the next week, as well as attitudes, subjective norms, descriptive norms, and perceived behavioral control regarding energy-dense food consumption. Linear regression analyses (in R) were conducted to examine associations of TPB determinants (model 1), TPB determinants plus descriptive norms (model 2), and interactions between determinants (model 3) with the intention to consume energy-dense food the (1) next day or (2) next week. Attitudes and subjective norms were positively associated with both the 'next day' and 'next week' energy-dense food intentions (model 1), although associations for the 'next day model' appeared to be stronger. Descriptive norms, compared to subjective norms, were more strongly associated with 'next week intentions', whereas both norms (descriptive and subjective) did not differ in how strongly they were associated with 'next day' intentions (model 2). Significant interactions between TPB constructs were found for the model predicting ‘next day’ intentions (i.e. subjective norms × attitude and attitude × PBC) (model 3). Our study provides important information about proximal food intentions among collectivistic cultures specifically, which may have crucial implications for future preventive interventions

    Behavioral inhibition, negative parenting, and social withdrawal: Longitudinal associations with loneliness during early, middle, and late adolescence

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    Adolescent loneliness can have detrimental effects on physical and mental health, but there is limited understanding of its antecedents in infancy and childhood. A 20-year longitudinal, multi-informant, and multi-methods study (first data collection in 1998) was conducted to examine mechanisms underlying adolescent loneliness (N = 128, 52% boys, Mage_baseline = 1.23, SD = 0.02, 99% White, recruitment in Dutch urban, healthcare centers). Structural equation modeling showed that high infant behavioral inhibition (BI) was indirectly associated with high loneliness during adolescence via high childhood social withdrawal. This indirect effect was equally strong during early, middle, and late adolescence. Contrary to expectations, infant parenting did not moderate the relation between BI and social withdrawal. The results suggest a developmental cascade with infant BI showing long-lasting indirect effects on adolescent loneliness up to 20 years later via childhood social withdrawal

    Longitudinal associations between negative life events and depressive symptoms: A 9-year longitudinal study on between-person and within-person effects and the role of family history

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    Item does not contain fulltextResearch has shown that negative life events contribute to the development of depression. Moreover, it has been suggested that individuals with a family history of depression experience more negative life events and are more susceptible to the effect of negative life events. However, previous studies did not differentiate stable between-person effects (interindividual differences) and temporal within-person effects (intraindividual differences). This study aims to examine the bidirectional relation between negative life events and depressive symptoms using a novel statistical method (i.e., a random intercept cross-lagged panel model) that allows to separate within-person from between-person processes. Second, we examined the role of family history in that relation. Data came from 1,771 adults (1,320 with a depressive and/or anxiety disorder, 451 controls) that were followed over 9 years (baseline, 2-, 4-, 6-, and 9-year follow-up). Questionnaires were used to measure depressive symptoms and the number of independent (i.e., events independent of someone’s symptoms) and dependent negative life events (i.e., events more likely to be influenced by a person). Results showed that individuals with more negative life events experienced more depressive symptoms on a between-person level. Additionally, although the effects were considerably smaller, results suggested within-person increases in dependent and independent negative life events were correlated with within-person increases in depressive symptoms. Overall, our results suggest that negative life events and depressive symptoms are more consistently associated on a between-person than on a within-person level. Thus, negative life events may rather explain differences in depressive symptoms between persons than within persons.15 p
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