Publications by authors named "Lisa B Sheeber"

Background: Adolescence and early adulthood are pivotal stages for the onset of mental health disorders and the development of health behaviors. Digital behavioral activation interventions, with or without coaching support, hold promise for addressing risk factors for both mental and physical health problems by offering scalable approaches to expand access to evidence-based mental health support.

Objective: This 2-arm pilot randomized controlled trial evaluated 2 versions of a digital behavioral health product, Vira (Ksana Health Inc), for their feasibility, acceptability, and preliminary effectiveness in improving mental health in young adults with depressive symptoms and obesity risk factors.

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Background: Approximately 10% of mothers experience depression each year, which increases risk for depression in offspring. Currently no research has analysed the linguistic features of depressed mothers and their adolescent offspring during dyadic interactions. We examined the extent to which linguistic features of mothers' and adolescents' speech during dyadic interactional tasks could discriminate depressed from non-depressed mothers.

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Parenting styles associated with maternal depression are a risk factor for adolescent psychopathology, and maternal attributional styles may be a key mechanism in this relationship. Mother-adolescent dyads (N = 180; 96 male; ages 10-15) completed in-person interactions and then the mothers participated in a video-mediated recall procedure to assess maternal attributions. Maternal depression was associated with negative attributions.

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Depression is the most common psychological disorder, a leading cause of disability world-wide, and a major contributor to inter-generational transmission of psychopathology within families. To contribute to our understanding of depression within families and to inform modality selection and feature reduction, it is critical to identify interpretable features in developmentally appropriate contexts. Mothers with and without depression were studied.

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This preliminary study applied a computer-assisted quantitative linguistic analysis to examine the effectiveness of language-based classification models to discriminate between mothers (n = 140) with and without history of treatment for depression (51% and 49%, respectively). Mothers were recorded during a problem-solving interaction with their adolescent child. Transcripts were manually annotated and analyzed using a dictionary-based, natural-language program approach (Linguistic Inquiry and Word Count).

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This paper studies the hypothesis that not all modalities are always needed to predict affective states. We explore this hypothesis in the context of recognizing three affective states that have shown a relation to a future onset of depression: positive, aggressive, and dysphoric. In particular, we investigate three important modalities for face-to-face conversations: vision, language, and acoustic modality.

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Background: Internet cognitive behavioural therapy (iCBT) is a viable delivery format of CBT for depression. However, iCBT programmes include training in a wide array of cognitive and behavioural skills via different delivery methods, and it remains unclear which of these components are more efficacious and for whom.

Methods: We did a systematic review and individual participant data component network meta-analysis (cNMA) of iCBT trials for depression.

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Importance: Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them.

Objective: To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information.

Data Sources: We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019.

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Mothers in the United States (U.S.) who are of non-dominant culture and socioeconomically disadvantaged experience depression during postpartum at a rate 3 to 4 times higher than mothers in the general population, but these mothers are least likely to receive services for improving mood.

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Identifying the neural correlates of positive interactions between friendship dyads may provide insights into mechanisms associated with adolescent social development. Forty-eight 14- to 18-year-old typically developing adolescents were video-recorded discussing a shared positive event with a close friend and subsequently viewed clips during an fMRI scan of that friend during the interaction and of an unfamiliar peer in a similar interaction. Adolescents also reported on their positive affect in daily life while with friends using ecological momentary assessment.

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This study evaluated the putative mediating mechanisms of an Internet-facilitated cognitive-behavioral therapy (CBT) intervention for depression tailored to economically disadvantaged mothers of preschool-age children. The CBT mediators were tested across two previously published randomized controlled trials which included the same measures of behavioral activation, negative thinking, and savoring of positive events. Trial 1 included 70 mothers with elevated depressive symptoms who were randomized to either the eight-session, Internet-facilitated intervention (Mom-Net) or to treatment as usual.

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The majority of studies using observational coding systems for family interaction data derive scales describing family members' behaviors based on rational/theoretical approaches. This study explored an empirical approach to identifying the component structure of parent-child observational data that incorporated the affective context of the interaction. Dyads of 155 typically developing 8-year-olds and their mothers completed questionnaires and two interaction tasks, one each designed to illicit positive and negative interactions.

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Little is known about clinically relevant changes in guided Internet-based interventions for depression. Moreover, methodological and power limitations preclude the identification of patients' groups that may benefit more from these interventions. This study aimed to investigate response rates, remission rates, and their moderators in randomized controlled trials (RCTs) comparing the effect of guided Internet-based interventions for adult depression to control groups using an individual patient data meta-analysis approach.

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The prevalence of depression rises steeply during adolescence. Family processes have been identified as one of the important factors that contribute to affect (dys)regulation during adolescence. In this study, we explored the affect expressed by mothers, fathers, and adolescents during a problem-solving interaction and investigated whether the patterns of the affective interactions differed between families with depressed adolescents and families with nondepressed adolescents.

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In threatening environments, the short (S) allele of 5-HTTLPR is proposed to augment risk for depression. However, it is unknown whether 5-HTTLPR variation increases risk for depression in environments of deprivation, lacking positive or nurturant features. Two independent longitudinal studies (n = 681 and 176, respectively) examined whether 5-HTTLPR moderated associations between low levels of positive parenting at 11-13 years and subsequent depression at 17-19 years.

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Objective: Evaluate an Internet-facilitated cognitive-behavioral treatment intervention for depression, tailored to economically disadvantaged mothers of young children.

Method: Economically disadvantaged mothers (N = 266) of preschool aged children, who reported elevated levels of depressive symptoms, were randomized to either the 8-session, Internet-facilitated intervention (Mom-Net) or to Motivational Interviewing and Referral to Services (MIRS). Outcomes were measured using the Patient Health Questionnaire 9 (PHQ-9; Spitzer et al.

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This systematic review and meta-analysis examined the efficacy of adolescent cognitive-behavioral sleep interventions. Searches of PubMed, PsycINFO, CENTRAL, EMBASE, and MEDLINE were performed from inception to May 1, 2016, supplemented with manual screening. Nine trials were selected (n = 357, mean age = 14.

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A single imaging gene-environment (IGxE) framework that is able to simultaneously model genetic, neurobiological, and environmental influences on psychopathology outcomes is needed to improve understanding of how complex interrelationships between allelic variation, differences in neuroanatomy or neuroactivity, and environmental experience affect risk for psychiatric disorder. In a longitudinal study of adolescent development we demonstrate the utility of such an IGxE framework by testing whether variation in parental behavior at age 12 altered the strength of an imaging genetics pathway, involving an indirect association between allelic variation in the serotonin transporter gene to variation in hippocampal volume and consequent onset of major depressive disorder by age 18. Results were consistent with the presence of an indirect effect of the serotonin transporter S-allele on depression onset via smaller left and right hippocampal volumes that was significant only in family environments involving either higher levels of parental aggression or lower levels of positive parenting.

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Background: Childhood anxiety is associated with low levels of parental autonomy granting and child perceived control, elevated child emotional reactivity and deficits in child emotion regulation. In early childhood, low levels of parental autonomy granting are thought to decrease child perceived control, which in turn leads to increases in child negative emotion. Later in development, perceived control may become a more stable, trait-like characteristic that amplifies the relationship between parental autonomy granting and child negative emotion.

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In this paper, we investigate the problem of detecting depression from recordings of subjects' speech using speech processing and machine learning. There has been considerable interest in this problem in recent years due to the potential for developing objective assessments from real-world behaviors, which may provide valuable supplementary clinical information or may be useful in screening. The cues for depression may be present in "what is said" (content) and "how it is said" (prosody).

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Substantial evidence suggests that rumination is an important vulnerability factor for adolescent depression. Despite this, few studies have examined environmental risk factors that might lead to rumination and, subsequently, depression in adolescence. This study examined the hypothesis that an adverse family environment is a risk factor for rumination, such that the tendency to ruminate mediates the longitudinal association between a negative family environment and adolescent depressive symptoms.

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This review evaluates research addressing the association between parent-child emotional interactions and the development and maintenance of depression in adolescence, with a focus on studies using observational research methods that assess parental responses to children and adolescents' emotional displays. We argue that parental socialization behaviors in response to different emotions expressed by youths may have distinct associations with depressive outcomes. In particular, parental behaviors that reinforce depressive behavior, reciprocate aggression, and fail to positively reinforce positive behavior have each been associated with youth depression.

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Objective: Develop and pilot an Internet-facilitated cognitive-behavioral treatment intervention for depression, tailored to economically disadvantaged mothers of young children.

Method: Mothers (N = 70) of children enrolled in Head Start, who reported elevated levels of depressive symptoms, were randomized to either the 8-session, Internet-facilitated intervention (Mom-Net) or delayed intervention/facilitated treatment-as-usual (DI/TAU). Outcomes were measured using the Beck Depression Inventory (BDI-II; Beck, Steer, & Brown, 1996); the Patient Health Questionnaire 9 (PHQ-9; Spitzer et al.

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In order to more fully understand the abnormalities in emotional responding associated with adolescent depression we examined clinically depressed and non-depressed adolescents' physiological responses to their parents' negative emotional behavior, as indexed by their heart rate responses to parental angry and dysphoric behavior during laboratory-based interactions. Maternal angry and dysphoric behavior predicted heart rate deceleration amongst non-depressed adolescents, a response that was not observed in depressed adolescents. Fathers' angry behavior predicted significant heart rate acceleration in depressed (but not non-depressed) adolescents, whereas fathers' dysphoric behavior predicted heart rate deceleration amongst depressed but not amongst non-depressed adolescents.

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Though much is known about the stable mood patterns that characterize depressive disorder, less attention has been directed to identifying and understanding the temporal dynamics of emotions. In the present study, we examined how depression affects the trajectory of dysphoric and angry adolescent emotional behavior during adolescent-parent interactions. Adolescents (72 depressed; 69 nondepressed) engaged in video recorded positive and negative interactions with their parents.

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