Affective family interactions and their associations with adolescent depression: A dynamic network approach

Dynamic Network Analysis of Mental Health Symptoms Among Persons Living With HIV

AIM

This study aims to develop dynamic networks and examine the longitudinal relationships of mental health symptoms among persons living with HIV (PLWH).

DESIGN

A longitudinal study.

METHODS

We collected data between October 2022 and December 2022 using Wenjuanxing (Questionnaire Star), an online survey platform. The study tracked weekly data across 10 sessions, involving 123 PLWH in Beijing, China. A total of 40 mental health symptoms with six dimensions (somatization symptoms, negative affect, cognitive processes, cognitive function, interpersonal communication and social adaptation) were included in the symptom network, which consists of temporal, contemporaneous and between-person networks.

RESULTS

In the temporal network, 'feeling inferior to others' had the largest in-strength value, whereas 'suicidal ideation' exhibited the largest out-strength value. In the contemporaneous network, 'feeling inferior to others' showed the highest bridge strength, indicating it had the most connections to other mental health symptoms.

CONCLUSIONS

We found that 'feeling inferior to others' had the highest number of predictors, with up to seven mental health symptoms potentially triggering this particular symptom. Additionally, 'suicidal ideation' emerged as a powerful predictor, influencing the greatest number of mental health symptoms across five dimensions.

IMPACT

Our study enhances the understanding of the sequential development and consequences of mental health symptoms among PLWH, which may provide an important basis for designing precise mental health symptom management interventions.

REPORTING METHOD

This study was reported according to the STROBE checklist.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Longitudinal associations of depressive symptoms in father-mother-child triads: A cross-lagged panel network analysis

BACKGROUND

The current study aimed to test symptom-level associations underlying the concordance of depressive symptoms in father-mother-child triads. We used network analysis to examine central and bridge symptoms in the contemporaneous depressive network of triads and additionally assessed prospective relationships in temporal depressive networks.

METHODS

We included 881 father-mother-child triads with children aged 10 to 14 years from the China Family Panel Studies. Depressive symptoms were assessed by the short version of the Center for Epidemiologic Studies Depression Scale (CESD) across three different time points from 2012 to 2018. Contemporaneous and temporal networks (2012 → 2016 and 2016 → 2018) were estimated to examine the cross-sectional and longitudinal relationships between symptoms.

RESULTS

Within the contemporaneous network, "feeling depressed" was the most central symptom. Parental "could not get going" was identified as the bridge symptom across almost all cross-sectional networks. In the temporal network (2012 → 2016), fathers' symptoms were likely to influence mothers' symptoms. Over time (2016 → 2018), offspring symptoms (such as "could not get going") began to affect their parents. Certain symptoms were more influential than others: for instance, fathers' "could not get going" significantly predicted mothers' "bad life" and feeling that "everything was an effort" in 2016. Fathers' "could not get going" in 2016 significantly predicted children's "bad life" and "lack of happiness" in 2018.

LIMITATIONS

A self-reported scale other than clinical diagnosis was used to assess depressive symptoms.

CONCLUSIONS

The current study demonstrates that family members mutually influence each other in specific depressive symptoms. Therefore, family-based treatments that combat depression in youth should also involve both parents and target core depressive symptoms to disrupt the cycle of depression within the family context.

Longitudinal associations between family conflict, intergenerational transmission, and adolescents' depressive symptoms: evidence from China Family Panel studies (2016-2020)

BACKGROUND

Adolescent depression is increasing globally, and family conflict may contribute to its transmission across generations. However, longitudinal evidence on these dynamics remains sparse. This study examines the longitudinal associations between family conflict and adolescents' and parents' depressive symptoms from three waves of data.

METHODS

Data from the 2016-2020 China Family Panel Studies (CFPS) were analyzed, including 1,772 adolescents (Mean age = 12.4, SD = 1.68 in 2016) and their parents. Family conflict was measured using three questions from adolescents, while depressive symptoms were assessed using the Center for Epidemiological Studies Depression Scale (CESD). Multiplelinear regression, latent growth models (LGM), and cross-lagged panel models (CLPM) were employed to examine longitudinal associations between family conflict and depressive symptoms.

RESULTS

The results revealed that family conflict correlated with adolescents' depressive symptoms (r = 0.580,p < 0.001). Adolescents' depressive symptoms also exacerbated family conflict (β1 = 0.030, p < 0.05; β2 = 0.032, p < 0.01) across three waves, while family conflict had a limited contribution to parents' depressive symptoms. Mothers' depressive symptoms influenced adolescents' depressive symptoms significantly (β = 0.043,p < 0.05), while adolescents' depressive symptoms were transmitted to fathers' depressive symptoms (β = 0.080,p < 0.01) between Wave 2 and Wave 3. Moreover, the mother's education level negatively predicted adolescents' depressive symptoms (β = -0.296,p < 0.05).

CONCLUSIONS

Family conflict plays a critical role in adolescents' depressive symptoms and its intergenerational transmission. The findings underscore the pivotal role of family dynamics in mental health, especially in the development of adolescents' depressive symptoms. Interventions aimed at reducing family conflict may help mitigate depressive symptoms across generations.

A Network Study of Family Affect Systems in Daily Life

Adolescence is a time period characterized by extremes in affect and increasing prevalence of mental health problems. Prior studies have illustrated how affect states of adolescents are related to interactions with parents. However, it remains unclear how affect states among family triads, that is adolescents and their parents, are related in daily life. This study investigated affect state dynamics (happy, sad, relaxed, and irritated) of 60 family triads, including 60 adolescents (Mage = 15.92, 63.3% females), fathers and mothers (Mage = 49.16). The families participated in the RE-PAIR study, where they reported their affect states in four ecological momentary assessments per day for 14 days. First, we used multilevel vector-autoregressive network models to estimate affect dynamics across all families, and for each family individually. Resulting models elucidated how family affect states were related at the same moment, and over time. We identified relations from parents to adolescents and vice versa, while considering family variation in these relations. Second, we evaluated the statistical performance of the network model via a simulation study, varying the percentage missing data, the number of families, and the number of time points. We conclude with substantive and statistical recommendations for future research on family affect dynamics.

Relationship between positive parenting and adolescents' depressive symptoms: Evidence from a Chinese research survey

BACKGROUND

Adolescents often carry their depression well into their adulthood. This creates perpetual difficulties for their family and society. Research on the relationship between positive parenting and adolescent depressive symptoms is rare. The protective effect of positive parenting on adolescent depressive symptoms also remains underexplored. Parents are a vital source of feedback that shapes adolescents' self-view in crucial ways.

AIMS

This study examines the latent relationships between four factors related to positive parenting and adolescent depressive symptoms.

METHOD

Using data from the Chinese Family Panel Studies (CFPS), Stata MP 17.0 was used for preliminary data processing and descriptive statistics. The structural equation model (SEM) was adopted to test the seven proposed hypotheses.

RESULTS

The study participants were 2,816 adolescents (52.34% male). The SEM showed that positive communication and parental praise can directly reduce depressive symptoms in adolescents (path coefficients of -0.24 and -0.13 [p < .001], respectively). Additionally, both positive communication and positive parent-adolescent interactions can reduce adolescents' depressive symptoms by heightening the intermediate factor of parental praise (path coefficients of 0.30 and 0.44 [p < .001], respectively). Conversely, positive parent-adolescent interactions did not negatively affect adolescents' depressive symptoms, as we hypothesized.

CONCLUSIONS

High level of positive parenting negatively predicts the level of depressive symptoms among adolescents. Specifically, positive communication, positive parent-adolescent communication, and parental praise are the main protective factors related to positive parenting for adolescents' depressive symptoms.

The Factors of Adolescent Depression in Jiangsu Province, China, from the Perspective of Social Ecosystem: A Case-Control Study

Background

The prevalence of adolescent depression is continuously increasing, impacting the cognitive, emotional, and behavioral development of adolescents. Therefore, it is crucial to comprehend depression from the perspective of the social ecosystem, necessitating further empirical evaluation.

Methods

This study utilized a case-control study design. The cases consisted of adolescents with depression (aged 13-18 years) admitted to a psychiatric hospital in Nanjing, Jiangsu Province, China, from November 2021 to July 2022, meeting the diagnostic criteria for depression in the 11th Edition of the International Classification of Diseases. Control group students, with a matching gender ratio in the same region, were randomly recruited. Logistic regression analysis was employed to investigate the factors associated with depression, with gender and age as covariates.

Results

The study comprised 200 participants, with 44 (22.0%) males and 156 (78.0%) females. Multiple logistic regression analysis revealed that increased adolescent depression was associated with being an only child (AOR = 2.680, 95% CI: 1.106-6.492), living in urban areas (AOR = 3.324, 95% CI: 1.077-10.267), experiencing school bullying (AOR = 9.087, 95% CI: 2.044-40.408), having severe family dysfunction (AOR = 6.491, 95% CI: 1.109-37.995), and possessing low core self-evaluation (AOR = 11.746, 95% CI: 3.305-41.746). Odds ratios for each factor were statistically significant.

Conclusions

Our results improve the evidence for associations between adolescent depression and core self-evaluation, school bullying, family function, living in urban areas, and being an only child. These findings should be taken into consideration in the assessment, intervention, and related policies for adolescent depression.

Maternal aggressive behavior in interactions with adolescent offspring: Proximal social-cognitive predictors in depressed and nondepressed mothers

Maternal depressive symptoms are associated with elevations in harsh parenting behavior, including criticism, negative affect, and hostile or coercive behavior, and these behaviors contribute to associations between maternal depressive symptomatology and child functioning. We used multilevel survival analysis to examine social-cognitive processes as proximal predictors of the onset and offset of maternal aggressive behavior during interactions with their adolescent children. Low-income women (N = 180) were selected for either: (a) elevated depressive symptoms and a history of treatment for depression (depressed group) or (b) not more than mild levels of current depressive symptomatology, no history of depression treatment, and no current mental health treatment (nondepressed group). These women and their adolescent children (ages 11-14, M = 12.93; 96 male sex, as assigned at birth) participated in a dyadic problem-solving interaction and mothers completed a video-mediated recall procedure, in which they watched a segment of the interaction, labeled their adolescents' affect, and made attributions for their behavior. Mothers in the depressed group were more likely to initiate aggressive behavior and, once initiated, were less likely to transition out of it. Mothers in both groups were less likely to transition out of aggressive behavior when they made negative attributions for their adolescents' behavior. Findings point to promising cognitive and behavioral targets for intervention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Testing transactional processes between parental support and adolescent depressive symptoms: From a daily to a biennial timescale

Transactional processes between parental support and adolescents' depressive symptoms might differ in the short term versus long term. Therefore, this multi-sample study tested bidirectional within-family associations between perceived parental support and depressive symptoms in adolescents with datasets with varying measurement intervals: Daily (N = 244, Mage = 13.8 years, 38% male), bi-weekly (N = 256, Mage = 14.4 years, 29% male), three-monthly (N = 245, Mage = 13.9 years, 38% male), annual (N = 1,664, Mage = 11.1 years, 51% male), and biennial (N = 502, Mage = 13.8 years, 48% male). Preregistered random-intercept cross-lagged panel models (RI-CLPMs) showed negative between- and within-family correlations. Moreover, although the preregistered models showed no within-family lagged effect from perceived parental support to adolescent depressive symptoms at any timescale, an exploratory model demonstrated a negative lagged effect at a biennial timescale with the annual dataset. Concerning the reverse within-family lagged effect, increases in adolescent depressive symptoms predicted decreases in perceived parental support 2 weeks and 3 months later (relationship erosion effect). Most cross-lagged effects were not moderated by adolescent sex or neuroticism trait level. Thus, the findings mostly support adolescent-driven effects at understudied timescales and illustrate that within-family lagged effects do not generalize across timescales.

"I wanted to hide but also to be found": the high school experiences of young adults who grew up in the same home as a sibling with depression

BACKGROUND

Depression is a mental health condition that can have far-reaching consequences for the entire family, not just for the affected individual. Siblings are particularly vulnerable in that the unremitting stress and guilt at home can affect multiple aspects of their lives, including relationships, added responsibilities, and health. This pressure may affect siblings' own emotional well-being and academic success. Most studies in this field have examined the impact of depression on the affected adolescents or their parents, whereas few have examined the impact on siblings. Sibling studies have been limited by lack of sample homogeneity, especially in the context of coping in high school. This study sought to examine the retrospective experiences of young adults who lived in the same house as a sibling with depression while they were in high school.

METHODS

This qualitative study examined 21 young adults (aged 18-29) who grew up with a sibling with depression. In-depth, semi-structured interviews were conducted from May to September 2022. The interviews were recorded and transcribed and underwent thematic analysis.

RESULTS

Three main themes emerged from the interviews: (1) "School as a place of refuge": The perspective of participants who grew up with a sibling with depression regarding their high school experience. (2) "I wanted the adults at school to see me": Relations between research participants and the school educational staff. (3) "I was afraid people would relate to me as the sibling of a crazy person": Participants' relationships with their peers.

CONCLUSIONS

This study sheds light on the experiences of adolescents who grew up with a sibling with depression. The findings point to feelings of being invisible, self-nullification, avoiding sharing with others, and transparency. The participants were afraid that if their peers found out about their sibling they would also be stigmatized and alienated. The study shows that adolescents living with a sibling with depression need support at school.

Emotional stimulation processing characteristics in depression: Meta-analysis of eye tracking findings

Objective

To systematically evaluate the attentional bias in patients with depression toward emotional stimuli and to explore eye movement indicators and potential regulatory variables that can distinguish such patients from healthy individuals.

Methods

Case-control studies regarding eye-tracking in major depressive disorder published in PubMed, Web of Science, ScienceDirect, The Cochrane Library, EBSCOhost, Embase, China National Knowledge Infrastructure, Wanfang, and VIP databases from database initiation until March 12, 2022 were included in the present meta-analysis. Two researchers independently screened the literature and performed data extraction. The quality of the literature was assessed using the Newcastle-Ottawa quality assessment scale.RevMan 5.4 software was used for Meta-analysis.

Results

Overall, 14 studies were included, including 1,167 participants (N _depression = 474; N _healthy = 693). We found that (1) fixation duration was significantly lower for positive emotional stimuli in the depression group than that in the healthy group; however, for negative stimuli, the fixation duration was significantly more in the depression group than in the healthy group. No significant difference was observed in terms of neutral emotional stimuli between groups. (2) Patients with depression exhibited a significantly lower fixation count for positive emotional stimuli than healthy individuals, whereas the fixation count for negative emotional stimuli was significantly higher in the depression group than in the healthy group. No significant difference was found for neutral emotional stimuli between groups. (3) No significant difference was detected in terms of the first fixation duration of the positive, negative, and neutral emotional stimuli between groups. (4) subgroup analysis indicated that age effected fixation duration for positive emotional stimuli. In addition, age and the type of negative emotional picture (sad, dysphoric, threat, anger) effected fixation duration for negative emotional stimuli.

Conclusion

Our research supports that patients with depression exhibit a negative attention bias toward emotional stimuli, and the fixation duration and fixation counts may be used as auxiliary objective indicators for depression screening.

ConNEcT: An R package to build contingency measure-based networks on binary time series

Dynamic networks are valuable tools to depict and investigate the concurrent and temporal interdependencies of various variables across time. Although several software packages for computing and drawing dynamic networks have been developed, software that allows investigating the pairwise associations between a set of binary intensive longitudinal variables is still missing. To fill this gap, this paper introduces an R package that yields contingency measure-based networks (ConNEcT). ConNEcT implements different contingency measures: proportion of agreement, corrected and classic Jaccard index, phi correlation coefficient, Cohen's kappa, odds ratio, and log odds ratio. Moreover, users can easily add alternative measures, if needed. Importantly, ConNEcT also allows conducting non-parametric significance tests on the obtained contingency values that correct for the inherent serial dependence in the time series, through a permutation approach or model-based simulation. In this paper, we provide an overview of all available ConNEcT features and showcase their usage. Addressing a major question that users are likely to have, we also discuss similarities and differences of the included contingency measures.

The association between the romantic relationships of parents and offspring depressive symptoms: Mediating effects of offspring communication patterns and romantic relationships

This study investigated a conceptual model by testing how parental romantic relationships influenced the depressive symptoms of grown-up children and whether the constructive communication patterns of grown-up children and romantic relationships played mediation effects within it. A total of 421 Chinese participants were enrolled in the study. The level of depressive symptoms, romantic relationship satisfaction and closeness, couple communication patterns, and parental romantic relationships were measured via self-report questionnaires. According to the results, the structural equation modeling analysis verified that the severity of participants’ depressive symptoms was negatively associated with the parental romantic relationship and that the association was mediated by participants’ constructive communication patterns and their own romantic relationships. Furthermore, compared with nondepressed participants, depressed participants were less satisfied with their parental romantic relationships, exhibited fewer constructive communication patterns, and were more distant and unsatisfied with current romantic relationships.

Investigation of the bidirectional relations between adolescents' anger at their parents and symptoms of depression

OBJECTIVE

This study examined the associations between adolescents' anger at their parents and depression over a 1-year period.

BACKGROUND

Anger tends to co-occur with depression during adolescence. Most research on anger has investigated anger in general and has not focused on specific sources of anger. Anger at parents is likely an important source of adolescents' anger.

METHOD

Participants were 321 adolescents (M _age at enrollment = 13.41 years [SD = 0.52]; 46.7% male) and one of their parents. Families completed questionnaires at two time points separated by 1 year.

RESULTS

High levels of adolescents' anger at their parents were related to increased levels of depression 1 year later (based only on parent-reported anger at parents). Similarly, high levels of depression were associated with increased levels of adolescents' anger at their parents 1 year later (based on adolescent- and parent-reported anger at parents).

CONCLUSIONS

The findings suggest that adolescents' anger at their parents and depression are mutually reinforcing during middle adolescence.

IMPLICATIONS

The results highlight the importance of assessing anger at parents when working with adolescents who are experiencing depressive symptoms. Further, adolescents' feelings of anger at their parents when evident should be incorporated into case conceptualizations and treatment plans.

Longitudinal Associations Among Low-Income Mothers' and Fathers' Parenting and Relationships with Children and Adolescent Depression

Few studies have examined the associations among quality of parent-child relationships, parenting, and adolescent depression in samples of low-income mothers and fathers with large numbers of nonresidential fathers. This study used the Fragile Families and Child Wellbeing data (N = 3,384) to examine the longitudinal associations among parent-child closeness, harsh parenting, and neglect when children were nine years old and adolescent depression at age 15. The findings indicated that children who perceived having close relationships with mothers and fathers at age nine reported significantly less depression at age 15, regardless of residential status. Moderation analyses showed a stronger negative relationship between daughters' closeness with mothers and depression than sons' closeness with mothers and depression. Daughters and sons who were close to fathers reported less depression. There were no significant associations among harsh discipline or neglect and depression. The findings support the use of interventions that promote healthy attachments and close parent-child relationships between low-income parents and children.

ConNEcT: A Novel Network Approach for Investigating the Co-occurrence of Binary Psychopathological Symptoms Over Time

Network analysis is an increasingly popular approach to study mental disorders in all their complexity. Multiple methods have been developed to extract networks from cross-sectional data, with these data being either continuous or binary. However, when it comes to time series data, most efforts have focused on continuous data. We therefore propose ConNEcT, a network approach for binary symptom data across time. ConNEcT allows to visualize and study the prevalence of different symptoms as well as their co-occurrence, measured by means of a contingency measure in one single network picture. ConNEcT can be complemented with a significance test that accounts for the serial dependence in the data. To illustrate the usefulness of ConNEcT, we re-analyze data from a study in which patients diagnosed with major depressive disorder weekly reported the absence or presence of eight depression symptoms. We first extract ConNEcTs for all patients that provided data during at least 104 weeks, revealing strong inter-individual differences in which symptom pairs co-occur significantly. Second, to gain insight into these differences, we apply Hierarchical Classes Analysis on the co-occurrence patterns of all patients, showing that they can be grouped into meaningful clusters. Core depression symptoms (i.e., depressed mood and/or diminished interest), cognitive problems and loss of energy seem to co-occur universally, but preoccupation with death, psychomotor problems or eating problems only co-occur with other symptoms for specific patient subgroups.

PCovR2: A flexible principal covariates regression approach to parsimoniously handle multiple criterion variables

Principal covariates regression (PCovR) allows one to deal with the interpretational and technical problems associated with running ordinary regression using many predictor variables. In PCovR, the predictor variables are reduced to a limited number of components, and simultaneously, criterion variables are regressed on these components. By means of a weighting parameter, users can flexibly choose how much they want to emphasize reconstruction and prediction. However, when datasets contain many criterion variables, PCovR users face new interpretational problems, because many regression weights will be obtained and because some criteria might be unrelated to the predictors. We therefore propose PCovR2, which extends PCovR by also reducing the criteria to a few components. These criterion components are predicted based on the predictor components. The PCovR2 weighting parameter can again be flexibly used to focus on the reconstruction of the predictors and criteria, or on filtering out relevant predictor components and predictable criterion components. We compare PCovR2 to two other approaches, based on partial least squares (PLS) and principal components regression (PCR), that also reduce the criteria and are therefore called PLS2 and PCR2. By means of a simulated example, we show that PCovR2 outperforms PLS2 and PCR2 when one aims to recover all relevant predictor components and predictable criterion components. Moreover, we conduct a simulation study to evaluate how well PCovR2, PLS2 and PCR2 succeed in finding (1) all underlying components and (2) the subset of relevant predictor and predictable criterion components. Finally, we illustrate the use of PCovR2 by means of empirical data.

Accounting for auto-dependency in binary dyadic time series data: A comparison of model- and permutation-based approaches for testing pairwise associations

Many theories have been put forward on how people become synchronized or co-regulate each other in daily interactions. These theories are often tested by observing a dyad and coding the presence of multiple target behaviours in small time intervals. The sequencing and co-occurrence of the partners' behaviours across time are then quantified by means of association measures (e.g., kappa coefficient, Jaccard similarity index, proportion of agreement). We demonstrate that the association values obtained are not easy to interpret, because they depend on the marginal frequencies and the amount of auto-dependency in the data. Moreover, often no inferential framework is available to test the significance of the association. Even if a significance test exists (e.g., kappa coefficient) auto-dependencies are not taken into account, which, as we will show, can seriously inflate the Type I error rate. We compare the effectiveness of a model- and a permutation-based framework for significance testing. Results of two simulation studies show that within both frameworks test variants exist that successfully account for auto-dependency, as the Type I error rate is under control, while power is good.

Parental Monitoring Predicts Depressive Symptom and Suicidal Ideation Outcomes in Adolescents Being Treated for Co-Occurring Substance Use and Psychiatric Disorders

BACKGROUND

Comorbidity of substance use disorders (SUDs) with mood disorders and other psychiatric conditions is common. Parenting processes and family functioning are impaired in adolescents with SUDs and mood disorders, and parent/family factors predict intervention response. However, limited research has examined the relationship between parent/family factors and mood symptom treatment response in adolescents with comorbid SUDs and psychiatric conditions.

METHOD

This study examined the predictive effects of parenting processes and family functioning on depressive symptoms and suicidal ideation (SI) in a randomized controlled trial of integrated cognitive-behavioral therapy vs. treatment as usual for 111 adolescents with comorbid SUDs and psychiatric disorders. Measures of parenting processes, family functioning, depressive symptoms, and SI were completed at baseline and 3-, 6-, and 12-month follow-ups. Exploratory analyses involved mixed-effects regression models.

RESULTS

Across treatment conditions, depressive symptoms and SI improved over 12 months. Family functioning domains of family roles (d=0.47) and affective involvement (d=0.39) significantly improved across treatment conditions over 12 months. Higher baseline parental monitoring predicted improved trajectory of depressive symptoms (d=0.44) and SI (d=0.46). There were no significant predictive effects for baseline family functioning or other parenting processes (listening, limit setting).

LIMITATIONS

Limitations include the modest sample, attrition over follow-up, and generalizability to samples with higher rates of mood disorders and/or uncomplicated mood disorders.

CONCLUSIONS

Parental monitoring may be an important prognostic indicator of depressive symptoms and SI in adolescents with co-occurring SUDs and psychiatric conditions, and therefore may be useful to assess and target in treatment, in addition to family functioning.

Using informant discrepancies in report of parent-adolescent conflict to predict hopelessness in adolescent depression

Hopelessness is an important symptom of adolescent depression, being associated with both risk of suicide and poor treatment response, but predictors of hopelessness are understudied. Conflict with parents is common in adolescent depression, but parents and adolescents often disagree when reporting conflict severity. Discrepancy in reporting may be an indicator of the parent-adolescent dyad lacking a shared representation of the state of their relationship. This could make conflicts seem unresolvable to the adolescent, leading to expectations of persistent stress and lack of support, increasing hopelessness. This study employed latent difference scores, ordinal regression and cross-validation to evaluate the hypothesis that discrepancy in report of parent-adolescent conflict would predict hopelessness among depressed adolescents. Parents reporting less conflict than the adolescent was associated with increased adolescent hopelessness, giving preliminary support to the hypothesis.

Effects of an adolescent depression prevention program on maternal criticisms and positive remarks

This study examined effects of an adolescent depression prevention program on maternal criticisms and positive remarks, whether the extent of adolescents' depression accounted for effects, and whether effects of the program on maternal criticisms and positive remarks differed by adolescents' gender. Participants were 298 adolescent (Mage = 14.79, SD = 1.36; 59% female) offspring of mothers with histories of depression; youth were randomized to either a cognitive-behavioral prevention (CBP) program or usual care (UC). At baseline and 9-month postintervention evaluations, mothers were administered the Five-Minute Speech Sample to measure number of criticisms and positive remarks made during an open-ended description of their child and their relationship. Adolescents' depression from pre- through postintervention was assessed with interviews. A hierarchical generalized linear model showed a significant condition-by-gender interaction, indicating that, controlling for baseline criticism, at postintervention mothers of girls in CBP made significantly more criticisms than did mothers of girls in UC, whereas mothers of boys in CBP made fewer criticisms than did mothers of boys in UC. The extent of adolescents' depression from pre- through postintervention partially mediated the relation between intervention condition and mothers' criticisms, for boys but not for girls. Second, controlling for preintervention positive remarks, at postintervention, mothers of youth in CBP made significantly more positive remarks about their child than did mothers of youth in UC, regardless of gender; this relation was not mediated by adolescent depression from pre- through postintervention. We suggest possible explanations for the observed effects of CBP on mothers' criticisms and positive remarks. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Parenting and Youth Onset of Depression Across Three Years: Examining the Influence of Observed Parenting on Child and Adolescent Depressive Outcomes

Concurrent associations between parenting behaviors and youth depression are well established. A smaller body of work has demonstrated longitudinal associations between aspects of parenting and youth risk for depression; however, this limited longitudinal work has predominantly relied upon self- and parent-report questionnaire measures and is thus affected by biases related to retrospective recall and common method variance. The present study used behavioral observation measures of parenting and clinical interview measures of youth depression to examine prospective relationships between observed parental support, responsiveness, criticism, and conflict and youths' onset of a depressive episode in a 3-year longitudinal design. Participants included 585 community youth age 8-16 (M = 11.92, SD = 2.39, 56.6% female) and a participating caregiver. Parental behavior was coded by trained observers in the context of a 5-min conflict resolution discussion at the baseline assessment. Youth onset of depression was subsequently assessed every 6 months for a period of 3 years using the Schedule for Affective Disorders and Schizophrenia for School Aged Children (KSADS) to ascertain whether youth experienced onset of depressive episode over the follow-up. Logistic regression analyses indicated that greater parental conflict at baseline predicted higher odds of youth experiencing a depressive onset across the 3-year follow up period, even after controlling for youth and caregiver history of depression at baseline. Findings suggest that parental conflict is particularly influential in youth vulnerability to depression.

The link between parental psychological control, depressive symptoms and epigenetic changes in the glucocorticoid receptor gene (NR3C1)

AIMS

This paper examines the relationship between parental Psychological Control (PC) and depressive symptoms in adolescents and assesses whether this relationship was mediated by DNA methylation, focusing on the glucocorticoid receptor gene (NR3C1), which plays a crucial role in HPA-axis functioning and is linked to environmental stress and depression. This is among the very few studies that looked at the relation between DNA methylation, environmental stress and depression in family trios.

METHODS

The study cohort consisted of 250 families: father, mother and a biologically related adolescent (adolescents (48.9% boys), mean age: 15.14, SD= 1.9; mean age mothers: 45.83, SD= 4.2; mean age fathers: 47.77, SD= 4.7). Depressive symptoms and PC were measured in adolescents and in both parents. DNA methylation levels in NR3C1 were examined in all participants.

RESULTS

Depressive symptoms in adolescents were predicted by PC of both mothers and fathers. Moreover, maternal depressive symptoms were associated with maternal PC, and fathers' depressive symptoms and PC. In fathers, only the level of their self-reported PC was associated with their depressive symptoms. There was no relation between adolescents' DNA methylation and depressive symptoms or the level of parental PC. Yet, there was a significant association between maternal depressive symptoms and maternal epigenetic patterns in NR3C1.

CONCLUSIONS

These findings highlight the need for more research in order to better understand the biological and contextual mechanisms through which parenting and parental emotional well-being is related to the development of psychopathology.

Conflict with Parents in Adolescent Depression: Associations with Parental Interpersonal Problems and Depressive Symptoms

Conflict with parents is common among depressed adolescents, interferes with treatment, and may increase risk of recurrence. Parental depressive symptoms have been shown to predict conflict with adolescent children, but an important role for different kinds of parental interpersonal problems, as described by interpersonal circumplex, is also plausible. This study compared parental interpersonal problems to parental depressive symptoms as predictors of parent-adolescent conflict reported by a depressed adolescent child, using multilevel linear regression, leave-one-out cross-validation and model stacking (N = 100 parents, 57 mothers and 43 fathers, of 60 different adolescents). Cross-validation and model stacking showed that including parental interpersonal problems contributes to accurate predictions. Parents reporting more interpersonal problems related to excessive dominance or submissiveness was associated with increased or decreased conflict, respectively. Parental depressive symptoms were found to be negatively associated with parent-adolescent conflict only in father-adolescent relationships.

Quality of Life in Family Caregivers of Adolescents with Depression in China: A Mixed-Method Study

PURPOSE

In this study, we investigated quantitatively the quality of life (QoL) and its influencing factors among Chinese family caregivers who care for adolescents with depression (AWD) and we explored qualitatively their care-giving experiences.

METHODS

The study was a mixed method with convergent parallel design. The sociodemographic characteristics, QoL, caregivers' burden, family functioning, positive and negative affects were assessed by using questionnaires on 240 family caregivers of AWD in China. Twelve of these family caregivers were interviewed by using a semi-structured guide to explore their care-giving experiences.

RESULTS

The mean score among family caregivers of AWD for physical QoL was 65.18 and 59.42 for mental QoL, which was significantly lower than the Chinese norms for QoL. Multiple regression analysis demonstrated that course of disease of AWD, caregivers' educational qualification, family functioning, positive affect and care-giving burden accounted for 57% of the variance in physical QoL. Suicide history of AWD, caregivers' educational qualification, negative affect, positive affect, care-giving burden and family functioning accounted for 54% of the variance in mental QoL. Four major themes of the care-giving experiences emerged: lack of knowledge about depression, being overwhelmed emotionally with psychological burden, the devastating impact of illness on family, and the perceived benefits of care-giving.

CONCLUSION

The QoL among family caregivers of AWD in China was low. It is necessary for health-care professionals to pay more attention to the QoL of family caregivers who care for AWD.

Unraveling middle childhood attachment-related behavior sequences using a micro-coding approach

Attachment theory states that children learn to trust in their parent's availability and support if they repeatedly experience that their parents respond sensitively to their needs during distress. Attachment is thus developed and shaped by day-to-day interactions, while at the same time, each interaction is a momentary expression of the attachment relation. How attachment-related behaviors of mother and child follow upon each other during interactions in middle childhood, and how these sequences differ in function of attachment quality, has hardly been studied up to now. To fill this gap, we analyzed the micro-coded interaction of 55 mother-child dyads (27 girls, 28 boys, mean age: 10.3) after a standardized stress-induction. Results reveal that all mother-child dyads show a loop between positive mother and child behaviors. This pattern is complemented with a loop of negative mother and child behaviors in low-trust and more avoidantly attached children: these children tend to handle negative mother behavior less well as they show more negative behavior and less positive behavior in response to negative maternal behavior. More anxiously attached children also show less positive behavior, but react positively on collaborative interactions. The micro-coded interactions thus reveal important insights that inform practitioners and advance attachment theory.

Using automated computer vision and machine learning to code facial expressions of affect and arousal: Implications for emotion dysregulation research

As early as infancy, caregivers' facial expressions shape children's behaviors, help them regulate their emotions, and encourage or dissuade their interpersonal agency. In childhood and adolescence, proficiencies in producing and decoding facial expressions promote social competence, whereas deficiencies characterize several forms of psychopathology. To date, however, studying facial expressions has been hampered by the labor-intensive, time-consuming nature of human coding. We describe a partial solution: automated facial expression coding (AFEC), which combines computer vision and machine learning to code facial expressions in real time. Although AFEC cannot capture the full complexity of human emotion, it codes positive affect, negative affect, and arousal-core Research Domain Criteria constructs-as accurately as humans, and it characterizes emotion dysregulation with greater specificity than other objective measures such as autonomic responding. We provide an example in which we use AFEC to evaluate emotion dynamics in mother-daughter dyads engaged in conflict. Among other findings, AFEC (a) shows convergent validity with a validated human coding scheme, (b) distinguishes among risk groups, and (c) detects developmental increases in positive dyadic affect correspondence as teen daughters age. Although more research is needed to realize the full potential of AFEC, findings demonstrate its current utility in research on emotion dysregulation.

Network dynamics of positive and negative affect in bipolar disorder

BACKGROUND

The network approach to psychopathology has become increasingly popular. Little research has examined the dynamic network structure of mental disorders, and, to date, no study has investigated the network dynamics of positive affect, negative affect, and physical activity in bipolar disorder. This represents the first study to estimate the dynamic network structure of affect and physical activity in individuals with and without bipolar I disorder.

METHODS

An intensive longitudinal design was used to assess positive affect, negative affect, and actigraphy-based estimates of physical activity. The overall sample consisted of 32 adults with bipolar I disorder and 36 healthy control participants. Eligible participants underwent an 8-week assessment period, in which once-per-day ratings of affect and actigraphy estimates were obtained. Participants were re-assessed on baseline measures afterwards. Dynamic network analysis was used to examine the network structure of affect and physical activity over time. Multilevel models were used to examine the relationship between autocorrelation and changes in depression symptoms among participants with bipolar disorder.

LIMITATIONS

The network analyses assume stationarity. Future research should consider time-varying multilevel network models to better account for time trends.

RESULTS

The results of the temporal networks indicated that the directed edges between positive and negative affect were mostly positive among individuals with bipolar I disorder. Among healthy control participants, the directed edges between positive and negative affect were mostly negative in direction. Physical activity, as assessed by daily actigraphy indices, was more densely connected in the healthy control network than the bipolar disorder network. Furthermore, the results indicated that critical slowing down predicted worsening of mood symptoms in the bipolar I disorder group.

CONCLUSIONS

This study suggests that certain dynamic patterns of affect may be an underlying process that contributes to the maintenance of bipolar disorder. These results have both theoretical and practical implications.