Social Media Use as a Predictor of Positive and Negative Affect: An Ecological Momentary Assessment Study of Adolescents with and without Clinical Depression.

Social media use is common in adolescents, with implications for psychosocial development and the emergence of depression. Yet, little is known about the time-linked connections between social media use and adolescents' affective experiences and how they may differ between depressed and non-depressed youth. We leveraged ecological momentary assessment in adolescents oversampled for current depression to examine (1) associations between social media use and concurrent and later positive and negative affect and (2) sex and presence of a depressive disorder as moderators of these associations. Adolescents aged 14-17 with (n = 48) and without (n = 97) clinical depression, as indicated via clinical interview, reported momentary social media use and positive and negative affect seven times per day for one week. Multilevel modeling indicated that social media use was associated with reduced positive affect both concurrently and at the next assessment. Further, among clinically depressed youth only, social media use was associated with reduced negative affect at the next assessment. Results suggest that social media use may reduce both positive and negative affect, highlighting the nuanced relation between adolescent social media use and emotional health and laying the groundwork for future research to address several open questions.

LiveWell, a smartphone-based self-management intervention for bipolar disorder: Intervention participation and usability analysis.

BACKGROUND: Understanding how individuals utilize and perceive digital mental health interventions may improve engagement and effectiveness. To support intervention improvement, participant feedback was obtained and app use patterns were examined for a randomized clinical trial evaluating a smartphone-based intervention for individuals with bipolar disorder. METHODS: App use and coaching engagement were examined (n = 124). Feedback was obtained via exit questionnaires (week 16, n = 81) and exit interviews (week 48, n = 17). RESULTS: On average, over 48 weeks, participants used the app for 4.4 h and engaged with the coach for 3.9 h. Participants spent the most time monitoring target behaviors and receiving adaptive feedback and the least time viewing self-assessments and skills. Participants reported that the daily check in helped increase awareness of target behaviors but expressed frustration with repetitiveness of monitoring and feedback content. Participants liked personalizing their wellness plan, but its use did not facilitate skills practice. App use declined over time which participants attributed to clinical stability, content mastery, and time commitment. Participants found the coaching supportive and motivating for app use. LIMITATIONS: App engagement based on viewing time may overestimate engagement. The delay between intervention delivery and the exit interviews and low exit interview participation may introduce bias. CONCLUSION: Utilization patterns and feedback suggest that digital mental health engagement and efficacy may benefit from adaptive personalization of targets monitored combined with adaptive monitoring and feedback to support skills practice and development. Increasing engagement with supports may also be beneficial.

Trajectories of positive and negative affect across adolescence: Maternal history of depression and adolescent sex as predictors.

BACKGROUND: Trajectories of affect vary across development, with normative increases in positive affect occurring during childhood and declines in positive affect appearing across adolescence. Little is known, however, about predictors of the trajectories of affect across adolescence. The present study examined associations between changes in adolescent affect across adolescence and maternal history of depression and child sex. METHODS: Participants were 240 adolescents and their mothers; 185 mothers had a history of depression (i.e., high risk) and 55 mothers did not (i.e., low risk). Youth were assessed annually from 6th grade (meanage = 11.86 years, SD = 0.57, 54.2 % female, 82 % White) through 12th grade. Latent growth models tested the relation of maternal depression history and adolescent sex with trajectories of adolescent affect. RESULTS: High-risk adolescents exhibited lower levels of PA as compared to low-risk youth (coefficient = -3.51, p = .008, 95 % CI [-6.11, -0.91]). Girls experienced earlier increases in negative affect (NA) as compared to boys, with more positive linear (coefficient = 2.07, p = .002, 95 % CI [0.774, 3.368]) and quadratic (coefficient = -0.29, p = .025, 95 % CI [-0.55, -0.04]) slopes. LIMITATIONS: Use of self-report measures and limited generalizability. CONCLUSION: Maternal depression significantly predicted decreases in offspring PA and distinct trajectories of NA in girls and boys. Interventions aimed at reducing risk in adolescent offspring of depressed parents may benefit from targeting PA and supporting girls in early adolescence.

Predictors of Sleep-Problem Trajectories Across Adolescence.

Stress and sleep problems are significantly correlated in adolescents. Few longitudinal studies, however, have evaluated possible correlates and predictors of sleep problems at multiple points across adolescence. The current study examined the relation between stress and sleep problems across four years in a sample of adolescents who varied in risk for psychopathology. Participants included 223 adolescents (55% female) and 223 mothers (77% with a history of a mood disorder during their child's life). Youth were evaluated in grade 7 (M = 12.69 years, SD = 0.61) and again in grades 8, 9, and 11. Sleep problems were assessed as part of a clinical interview, and weekly stressful events were measured with the Life Events Interview for Adolescents. Multi-group latent growth curve analyses were conducted. Among youth whose mothers had a history of depression (high-risk), sleep problems significantly increased over time (p < .001). Second, among high-risk youth, at each time point, higher stress levels during the prior three months significantly predicted higher levels of sleep problems (p < .001). Finally, across the entire sample, at each time point a greater level of sleep problems predicted higher stress ratings a year later (p ≤ .001). Thus, stress was a significant predictor of sleep problems across multiple years of adolescence, particularly among offspring of mothers with a history of depression. Results highlight targets for preventive interventions for sleep problems in youth.

Components of Behavioral Activation Therapy for Depression Engage Specific Reinforcement Learning Mechanisms in a Pilot Study.

Background: Behavioral activation is an evidence-based treatment for depression. Theoretical considerations suggest that treatment response depends on reinforcement learning mechanisms. However, which reinforcement learning mechanisms are engaged by and mediate the therapeutic effect of behavioral activation remains only partially understood, and there are no procedures to measure such mechanisms. Objective: To perform a pilot study to examine whether reinforcement learning processes measured through tasks or self-report are related to treatment response to behavioral activation. Method: The pilot study enrolled 13 outpatients (12 completers) with major depressive disorder, from July of 2018 through February of 2019, into a nine-week trial with BA. Psychiatric evaluations, decision-making tests and self-reported reward experience and anticipations were acquired before, during and after the treatment. Task and self-report data were analysed by using reinforcement-learning models. Inferred parameters were related to measures of depression severity through linear mixed effects models. Results: Treatment effects during different phases of the therapy were captured by specific decision-making processes in the task. During the weeks focusing on the active pursuit of reward, treatment effects were more pronounced amongst those individuals who showed an increase in Pavlovian appetitive influence. During the weeks focusing on the avoidance of punishments, treatment responses were more pronounced in those individuals who showed an increase in Pavlovian avoidance. Self-reported anticipation of reinforcement changed according to formal RL rules. Individual differences in the extent to which learning followed RL rules related to changes in anhedonia. Conclusions: In this pilot study both task- and self-report-derived measures of reinforcement learning captured individual differences in treatment response to behavioral activation. Appetitive and aversive Pavlovian reflexive processes appeared to be modulated by separate psychotherapeutic interventions, and the modulation strength covaried with response to specific interventions. Self-reported changes in reinforcement expectations are also related to treatment response. Trial Registry Name: Set Your Goal: Engaging in GO/No-Go Active Learning, #NCT03538535, http://www.clinicaltrials.gov.