Who Participates in an Internet-Based Research Program for Mothers of Infants? A Secondary Prevention Research Study Among Low-Income Families

Objective: The objective of this study was to evaluate the participation rates and factors associated with nonparticipation among mothers living in low-income households who were invited to join a parent-education and -support research program delivered via the Internet with professional support. Methods: Four hundred and seventy-seven mothers of infants were contacted via a variety of recruitment methods, including presentations at clinics/classes, direct mailings, print advertisement, and Internet posts. Research staff attempted to contact these mothers by phone, to assess their eligibility, and interest in participation. For those who were eligible but declined participation, we assessed reasons for declining and collected demographic information. Results: Seventy-four percent of those eligible agreed to participate in the program. Statistical tests comparing participants and decliners on demographic variables found no significant differences on mother’s age and marital status. There was a significant difference on baby’s age due to many decliners in the prenatal period. Mothers were an average age of 28 years and most were married (65.6%). Our sample of low-income participants was diverse with a large number of Latina mothers. Approximately half had a high-school diploma or less but 84% reported being moderately or very comfortable using a computer and half had a computer at home

The impact of depression on mothers’ neural processing of their adolescents’ affective behavior

12 pagesDepression affects neural processing of emotional stimuli and could, therefore, impact parent–child interactions. However, the neural processes with which mothers with depression process their adolescents’ affective interpersonal signals and how this relates to mothers’ parenting behavior are poorly understood. Mothers with and without depression (N = 64 and N = 51, respectively; Mage = 40 years) from low-income families completed an interaction task with their adolescents (Mage = 12.8 years), which was coded for both individuals’ aggressive, dysphoric, positive and neutral affective behavior. While undergoing fMRI, mothers viewed video clips from this task of affective behavior from their own and an unfamiliar adolescent. Relative to non-depressed mothers, those with depression showed more aggressive and less positive affective behavior during the interaction task and more activation in the bilateral insula, superior temporal gyrus and striatum but less in the lateral prefrontal cortex while viewing aggressive and neutral affect. Findings were comparable for own and unfamiliar adolescents’ affect. Heightened limbic, striatal and sensory responses were associated with more aggressive and dysphoric parenting behavior during the interactions, while reduced lateral prefrontal activation was associated with less positive parenting behavior. These results highlight the importance of depressed mothers’ affective information processing for understanding mothers’ behavior during interactions with their adolescents.This research was supported by a grant from the National Institute of Child Health and Human Development (5R01HD081362-05) awarded to L.S. and N.B.A. The funding sources had no role in the study design, data collection and analysis, or submission process

Getting stuck in depression: The roles of rumination and emotional inertia

Like many other mental disorders, depression is characterised by psychological inflexibility. Two instances of such inflexibility are rumination: repetitive cognitions focusing on the causes and consequences of depressive symptoms; and emotional inertia: the tendency for affective states to be resistant to change. In two studies, we tested the predictions that: (1) rumination and emotional inertia are related; and (2) both independently contribute to depressive symptoms. We examined emotional inertia of subjective affective experiences in daily life among a sample of non-clinical undergraduates (Study 1), and of affective behaviours during a family interaction task in a sample of clinically depressed and non-depressed adolescents (Study 2), and related it to self-reported rumination and depression severity. In both studies, rumination (particularly the brooding facet) and emotional inertia (particularly of sad/dysphoric affect) were positively associated, and both independently predicted depression severity. These findings demonstrate the importance of studying both cognitive and affective inflexibility in depression

A hierarchical state space approach to affective dynamics

Linear dynamical system theory is a broad theoretical framework that has been applied in various research areas such as engineering, econometrics and recently in psychology. It quantifies the relations between observed inputs and outputs that are connected through a set of latent state variables. State space models are used to investigate the dynamical properties of these latent quantities. These models are especially of interest in the study of emotion dynamics, with the system representing the evolving emotion components of an individual. However, for simultaneous modeling of individual and population differences, a hierarchical extension of the basic state space model is necessary. Therefore, we introduce a Bayesian hierarchical model with random effects for the system parameters. Further, we apply our model to data that were collected using the Oregon adolescent interaction task: 66 normal and 67 depressed adolescents engaged in a conflict-oriented interaction with their parents and second-to-second physiological and behavioral measures were obtained. System parameters in normal and depressed adolescents were compared, which led to interesting discussions in the light of findings in recent literature on the links between cardiovascular processes, emotion dynamics and depression. We illustrate that our approach is flexible and general: The model can be applied to any time series for multiple systems (where a system can represent any entity) and moreover, one is free to focus on various components of this versatile model.status: publishe

Modeling physiological emotion specificity with regime switching state space models (Symposium on heterogeneity in dynamic models)

status: publishe

Studying latent affective dynamics with a Bayesian state-space approach

In the last years, emotion research has been focusing on the conceptualization of emotions as multicomponential, dynamical systems. This development created a new set of challenging research questions, concerning for instance autoregressive dependencies (related to concepts of emotional homeostasis) or cross-lagged relations (related to the mutual influence of emotion components). In a first part, we want to introduce a state-space approach for the dynamical modeling of emotion components. It will be shown how Markov chain Monte Carlo methods are used to estimate the model parameters. Various model extensions are discussed (e.g. external covariates, regime-switching). In a second part, we apply this framework to high resolution psychophysiological and behavioral data obtained during emotionally evocative adolescent-parent interactions and illustrate how it can be used to obtain new insights in the dynamical nature of emotions.status: publishe