Core dimensions of anxiety and depression change independently during adolescence

Anhedonia in adolescents at transdiagnostic familial risk for severe mental illness: Clustering by symptoms and mechanisms of association with behavior

BACKGROUND

Anhedonia is a transdiagnostic symptom of severe mental illness (SMI) and emerges during adolescence. Possible subphenotypes and neural mechanisms of anhedonia in adolescents at risk for SMI are understudied.

METHODS

Adolescents at familial risk for SMI (N = 81) completed anhedonia (e.g., consummatory, anticipatory, social), demographic, and clinical measures and one year prior, a subsample (N = 46) completed fMRI scanning during a monetary reward task. Profiles were identified using k-means clustering of anhedonia type and differences in demographics, suicidal ideation, impulsivity, and emotional processes were examined. Moderation analyses were conducted to investigate whether levels of brain activation of reward regions moderated the relationships between anhedonia type and behaviors.

RESULTS

Two-clusters emerged: a high anhedonia profile (high-anhedonia), characterized by high levels of all types of anhedonia, (N = 32) and a low anhedonia profile (low-anhedonia), characterized by low levels of anhedonia types (N = 49). Adolescents in the high-anhedonia profile reported more suicidal ideation and negative affect, and less positive affect and desire for emotional closeness than low-anhedonia profile. Furthermore, more suicidal ideation, less positive affect, and less desire for emotional closeness differentiated the familial high-risk, high-anhedonia profile adolescents from the familial high-risk, low-anhedonia profile adolescents. Across anhedonia profiles, moderation analyses revealed that adolescents with high dmPFC neural activation in response to reward had positive relationships between social, anticipatory, and consummatory anhedonia and suicidal ideation.

LIMITATIONS

Small subsample with fMRI data.

CONCLUSION

Profiles of anhedonia emerge transdiagnostically and vary on clinical features. Anhedonia severity and activation in frontostriatal reward areas have value for clinically important outcomes such as suicidal ideation.

Anxiety and Depression from Childhood to Young Adulthood: Trajectories and Risk Factors

This study aimed to (1) evaluate how population levels of anxiety and depression grow and correlate from middle childhood through early adulthood, and (2) determine whether sex, family socioeconomic status, parental education, academic achievement, learning disabilities, or externalizing symptoms predict anxiety and/or depression levels and growth trajectory. We used two longitudinal samples (N = 445, 448) of Portuguese children. Mean depression levels increased from mid-childhood through adolescence before stabilizing in early adulthood and were most strongly predicted by academic achievement and learning disabilities. Mean anxiety levels increased until adolescence before decreasing across early adulthood and were most strongly predicted by academic achievement, learning disabilities, and externalizing symptoms. Quadratic models of growth fit best for both depression and anxiety, and depression and anxiety growth trajectories were strongly correlated. Though anxiety and depression trajectories differ in pattern and predictors, the two are highly interrelated and pathways to comorbid anxiety and depression should be characterized.

Exploring symptom-level associations between anxiety and depression across developmental stages of adolescence: a network analysis approach

BACKGROUND

Anxiety and depression often co-occur during adolescence, but the associations between symptoms of these two disorders in this developmental period are not yet fully understood. Network analysis provides a valuable approach to uncover meaningful associations among symptoms and offers insights for prevention and intervention strategies. This study aimed to investigate symptom-level associations between anxiety and depression using network analysis and to identify core symptoms, bridge symptoms, and differences in network structure across different stages of adolescence.

METHODS

The cross-sectional study was conducted in March 2022 in Shenzhen, China. Participants completed the Generalized Anxiety Disorder Scale-7 and Patient Health Questionnaire Depression Scale, along with demographic questionnaires assessing age and gender. Chinese adolescents aged 10 to 17 who were in Grades 5 or 6 of elementary school, Grades 1 or 2 of middle school, or Grades 1 or 2 of high school, and who could comprehensively understand and read Chinese were recruited as participants. Students in Grade 3 of middle and high schools were excluded due to their upcoming high school or college entrance examinations. Based on age, participants were categorized into early, middle, and late developmental stages of adolescence.

RESULTS

"Loss of control" was among the most central symptoms in the comorbidity network throughout all three developmental stages; "excessive worry" and "anhedonia" emerged as the core symptoms in early adolescence, and "restlessness" as the core symptom in late adolescence. "Anhedonia," "sad mood," and "fatigue" were identified as bridge symptoms between anxiety and depression across all three developmental stages of adolescence. The global strength of the network in middle adolescence was significantly higher compared to the other two stages.

CONCLUSION

These findings highlight the core and bridge symptoms that require special attention and intervention at each stage of adolescence. Moreover, significantly higher network connectivity in middle adolescence suggests this is a critical period for intervention to prevent the development of comorbid mental disorders.

Brain morphometry points to emerging patterns of psychosis, depression, and anxiety vulnerability over a 2-year period in childhood

BACKGROUND

Gray matter morphometry studies have lent seminal insights into the etiology of mental illness. Existing research has primarily focused on adults and then, typically on a single disorder. Examining brain characteristics in late childhood, when the brain is preparing to undergo significant adolescent reorganization and various forms of serious psychopathology are just first emerging, may allow for a unique and highly important perspective of overlapping and unique pathogenesis.

METHODS

A total of 8645 youth were recruited as part of the Adolescent Brain and Cognitive Development study. Magnetic resonance imaging scans were collected, and psychotic-like experiences (PLEs), depressive, and anxiety symptoms were assessed three times over a 2-year period. Cortical thickness, surface area, and subcortical volume were used to predict baseline symptomatology and symptom progression over time.

RESULTS

Some features could possibly signal common vulnerability, predicting progression across forms of psychopathology (e.g. superior frontal and middle temporal regions). However, there was a specific predictive value for emerging PLEs (lateral occipital and precentral thickness), anxiety (parietal thickness/area and cingulate), and depression (e.g. parahippocampal and inferior temporal).

CONCLUSION

Findings indicate common and distinct patterns of vulnerability for varying forms of psychopathology are present during late childhood, before the adolescent reorganization, and have direct relevance for informing novel conceptual models along with early prevention and intervention efforts.

An Optimized Version of the Positive and Negative Symptoms Scale (PANSS) for Pediatric Trials

OBJECTIVE

The accepted primary outcome measure for evaluating psychotic symptoms is decades old, long, and initially designed for adults. Surprisingly, the psychometric properties of primary outcome measures have never been reported for a pediatric sample using modern methods. The present study's aim is to use a pediatric sample to evaluate the psychometrics of the most used primary outcome measure in pediatric schizophrenia trials, the Positive and Negative Syndrome Scale (PANSS).

METHOD

To evaluate the factor structure, item characteristics, and treatment sensitivity of the PANSS in a pediatric sample, secondary analyses of PANSS data at baseline and weekly throughout an 8-week randomized double-blind study of 3 antipsychotic agents (registered and previously published) were conducted. Subjects were 118 youths receiving outpatient psychiatric treatment for schizophrenia spectrum disorders (mean age = 14.26 years, SD = 2.41 years).

RESULTS

A 10-item short form, keeping 2 strongest items for each factor, had r = 0.89 with the full-length scale. Each of the five 2-item subscales has alphas ranging from 0.66 to 0.84. Item Response Theory (IRT) found that the 10-item scale and 2-item subscores had high reliability across the severity range typical of those for clinical trials. Criterion validity was high, with equal sensitivity to clinical changes over time.

CONCLUSION

A 10-item PANSS version eliminates weaker items in the pediatric population while preserving coverage of 5 factors and similar sensitivity to clinical changes over time. It thus may be more appropriate for subsequent pediatric trials, and for clinical use when time and efficiency are paramount.

Salivary cortisol levels and appraisals of daily hassles across dimensions of the tripartite model of anxiety and depression in emerging adults

The objective of this study was to investigate how cortisol levels and appraisals of daily hassles differ across tripartite dimensions of depression and anxiety in emerging adults. Data collected from a sample of undergraduate students at a large Midwestern university was used to investigate these aims. This included salivary cortisol data collected over four days, scores on a measure of the tripartite model of anxiety and depression, and scores on a measure of daily hassles administered everyday for two weeks. Generalized estimating equations and multilevel modeling techniques were used to analyze data. Elevated cortisol levels during the awakening period and the evening period, lower total levels across the day, steeper diurnal slopes, and elevated levels of negative affect and physiological hyperarousal predicted experiences of daily hassles. Tripartite dimensions were unrelated to cortisol indices. The present study demonstrates the utility of modeling multiple cortisol indices and provides evidence of differential associations between physiological and phenomenological indices of stress.

Intersecting identities and adolescent depression: Patterns of depressed mood and anhedonia in the past decade

BACKGROUND

Research suggests adolescent depression is increasing and certain adolescents may be uniquely vulnerable. However, limited conceptualizations of identity and time, as well as the reliance on unitary conceptualizations of depression, inhibits a nuanced perspective on these trends. In response, we examined how adolescent depressive symptoms, depressed mood, and anhedonia, vary across intersecting identities over time.

METHODS

Secondary data analysis on the National Survey on Drug Use and Health between 2009 and 2017 was conducted. In total 145,499 nationally representative adolescents (ages 12-17) completed a diagnostic assessment for depression. Lifetime and past year reports of depressive symptoms, depressed mood, and anhedonia were treated as separate variables. A novel, mixed-level model in which participants were nested within identity (defined by one's age, gender, race/ethnicity, poverty level) and time was used to test our aims.

RESULTS

Overall, the relation between depression outcomes and identity did not vary over time (p > .01). Further, identity's impact on depression was approximately ten-fold that of temporal effects. Multiracial, late adolescent, female adolescents were at particular risk. Findings concerning depressed mood and anhedonia were similar across analyses.

LIMITATIONS

All facets of identity (e.g., sexual identity) were not included in the model and a unidimensional measure of poverty may have underestimated its depressogenic influence.

CONCLUSION

Adolescent depression outcomes are mostly consistent across criterial symptom subtypes and time, but vary as a function of identity. Prevention protocols that highlight mechanisms of risk tethered to social identity, and include salient experiences of females, late adolescents, and multiracial youth in particular, need to be prioritized in mental health initiatives.

Childhood experiences of threat and deprivation predict distinct depressive symptoms: A parallel latent growth curve model

BACKGROUND/AIM

There is growing awareness that specific childhood trauma (CT) may confer to the unique risk of depression, but little is known about this. The present study seeks to provide insight into how CT subtypes may impact distinct depressive symptoms over time based on the dimensional model of adversity (DMA).

METHODS

A total of 3535 college freshmen participated in a 2-year, four waves longitudinal tracking study. A conditional parallel latent growth curve model (LGCM) was constructed to examine the impacts of different types of CT (threat and deprivation) on the development of depressed mood and anhedonia, and whether these relationships vary across gender.

RESULTS

Our findings revealed that threat and deprivation could differentially relate to depressed mood and anhedonia. Both threat and deprivation predicted initial depressed mood levels (β = 0.309, p < 0.001; β = 0.175, p < 0.001, respectively) and its trajectory (β = -0.139, p = 0.068; β = -0.168, p < 0.05, respectively). Only deprivation predicted anhedonia levels (β = 0.318, p < 0.001) and trajectory (β = -0.218, p < 0.001). This pattern of relationships between CT and depressive symptoms varied across gender.

CONCLUSION

These findings highlight specific pathways and symptomatic manifestations of the impacts of different CT subtypes on depression and are consistent with the hypothesis of DMA. Threat and deprivation predicted more severe depressed mood, whereas deprivation uniquely conferred to the risk of depression via elevated anhedonia. Meanwhile, the deleterious effects of CT would persist during early adulthood. Gender differences were also discussed.

Relationship between physical activity, screen-related sedentary behaviors and anxiety among adolescents in less developed areas of China

This study aimed to explore the association between physical activity, screen-related sedentary behaviors, and anxiety. The current study used latent profile analysis (LPA) to identify homogenous subtypes of anxiety among adolescents in less-developed areas of China. Data were aggregated from 6 schools in the less-developed areas of China in September 2018. In total, 900 students were evaluated using the 100-item Mental Health Test (MHT) and Youth Risk Behavior Surveillance System (YRBSS) questionnaire. The LPA was conducted to explore the potential classification of anxiety, which makes full use of all the sample data and explore heterogeneous classifications within groups. Logistic regression was used for the multifactor analysis. A P value <.05 was considered statistically significant. The entropy value suggested that the model with 3 latent profile was the best choice. There were 223 adolescents in the severe anxiety group, accounting for 24.78%. Logistics regression analysis of anxiety revealed that the risk of severe anxiety in boys was lower (odds ratio [OR] = 0.317, P < .001) than in girls. Students had a significantly lower probability of suffering from severe anxiety in using cellphones or computers ≤ 2 hours/day than those used cellphones or computers＞2 hours/day (OR = 0.391, P = .004). Decreasing screen-related sedentary behaviors should be a target of community and school-based interventions, because high screen-related sedentary behaviors were associated with higher odds of anxiety among adolescents in less developed area of China.

Childhood Maltreatment and Anhedonic Symptoms: Test of a Dual-risk Model in Emerging Adults

Anhedonia, defined as deficits in positive affect and approach related behaviors, remains an understudied trauma response. As anhedonic responses to interpersonal violence are associated with a more severe course of psychopathology that is more difficult to treat, an increased focus on risk factors for anhedonia is necessary. The present study sought to address this gap in the literature by testing a theoretical model that highlights two transdiagnostic pathways leading to anhedonic responses in emerging adults attending college. Specifically, our study examined how childhood maltreatment subtypes (a) uniquely associate with depressive and post-traumatic stress (PTS) manifestations of anhedonia and (b) how temperament (i.e., anticipatory positive affect) and distress (i.e., negative mood) explain these relations. At baseline, a racially diverse sample of 462 emerging adults (Age_Mean = 19.45; 75.5% female; 45.5% White) completed self-report forms on childhood abuse and neglect, anticipatory positive affect, negative mood, and anhedonia. Individuals completed measures of temperament and psychological distress again 6-weeks, and 12-weeks later. Latent growth curve models were utilized to test our model. Consistent with hypotheses, deficits in anticipatory positive affect uniquely explained the relation between neglect and depressive/PTS anhedonic symptoms. Meanwhile, negative mood mediated the relation between abuse and both forms of anhedonia. These findings support the theory that two separate risk pathways lead to anhedonia. Support for our model suggests that distinguishing between pathways for anhedonic responses may be the key to a more targeted, transdiagnostic, trauma-informed approach for treating and preventing these deleterious, treatment-resistant, internalizing symptoms.

Network analysis of depressive and anxiety symptoms in adolescents during and after the COVID-19 outbreak peak

BACKGROUND

This study examined the extent to which the network structure of anxiety and depression among adolescents identified during the peak of the COVID-19 pandemic could be cross-validated in a sample of adolescents assessed after the COVID-19 peak.

METHODS

Two cross-sectional surveys were conducted between February 20 and 27, 2020 and between April 11 and 19, 2020, respectively. Depressive and anxiety symptoms were assessed using the 20-item Center for Epidemiological Studies-Depression and 7-item Generalized Anxiety Disorder, respectively. Anxiety-depression networks of the first and second assessments were estimated separately using a sparse Graphical Gaussian Model combined with the graphical least absolute shrinkage and selection operator method. A Network Comparison Test was conducted to assess differences between the two networks.

RESULTS

The most central symptoms in the first and second survey networks were Depressed affect and Nervousness. Compared with connections in the first survey network, connections in the second survey network analysis between Relax-Nervousness-Depressed affect-Interpersonal problems (diff, contrast: second survey-first survey. diff=-0.04, P = 0.04; diff=-0.03, P = 0.03; diff=-0.03, P = 0.04), and Irritability-Somatic complaints (diff=-0.04, P = 0.02) were weaker while connections of Somatic complaints-Nervousness (diff=0.05, P<0.001), Somatic complaints-Depressed affect (diff=0.03, P = 0.009), and Irritability-Control worry-Restlessness (diff=0.02, P = 0.03; diff=0.05, P = 0.02) were stronger.

CONCLUSIONS

Depressed affect emerged as a robust central symptom and bridge symptom across Anxiety-Depression networks. Considering the negative impact of depression and anxiety on daily life, timely interventions targeting depressed affect should be implemented to reduce the co-occurrence of anxious and depressive symptoms among adolescents during the COVID-19 pandemic.

Prospective associations between emotion regulation and depressive symptoms among Mexican-origin adolescents

Reappraisal (reconstruing emotional experiences to alter their impact) and suppression (inhibiting emotionally expressive behavior) are emotion-regulation strategies with important implications for depression. While reappraisal generally predicts lower depressive symptoms, suppression generally predicts higher depressive symptoms. Because cultural factors can influence the processes involved in these links and because adolescence-especially for ethnic minority youth-brings particular emotional challenges, it's critical to investigate these links among Mexican-origin adolescents. However, research examining emotion regulation among Mexican-origin individuals is scarce and generally limited to cross-sectional designs. Thus, we examined prospective associations between reappraisal and suppression (assessed at age 17) and 2 facets of depressive symptoms (anhedonia and general distress) over 3 years (assessed at ages 16, 18, and 19) among 228 Mexican-origin adolescents. Latent growth curve models indicated that reappraisal was associated with lower anhedonia at baseline (age 16) and lower anhedonia over time, whereas suppression predicted greater anhedonia at baseline but not change over time. Consistent with the Mexican cultural value of simpatía, which emphasizes expressing positive emotions and inhibiting negative emotions, suppression of positive emotions was associated with greater anhedonia over time whereas suppression of negative emotions was associated with lower anhedonia over time. However, neither associated with anhedonia at baseline. Reappraisal and suppression were not associated with distress symptoms, and no effects were moderated by familism, household income, gender, or child nativity. The anhedonia results suggest that the benefits of reappraisal extend to Mexican-origin adolescents, but the effects of suppression may depend upon emotional valence in this group. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Temporal dynamics of affect in the brain: Evidence from human imaging and animal models

Emotions are time-varying internal states that promote survival in the face of dynamic environments and shifting homeostatic needs. Research in non-human organisms has recently afforded specific insights into the neural mechanisms that support the emergence, persistence, and decay of affective states. Concurrently, a separate affective neuroscience literature has begun to dissect the neural bases of affective dynamics in humans. However, the circuit-level mechanisms identified in animals lack a clear mapping to the human neuroscience literature. As a result, critical questions pertaining to the neural bases of affective dynamics in humans remain unanswered. To address these shortcomings, the present review integrates findings from humans and non-human organisms to highlight the neural mechanisms that govern the temporal features of emotional states. Using the theory of affective chronometry as an organizing framework, we describe the specific neural mechanisms and modulatory factors that arbitrate the rise-time, intensity, and duration of emotional states.

Persistent Low Positive Affect and Sleep Disturbance across Adolescence Moderate Link between Stress and Depressive Symptoms in Early Adulthood

The purpose of this study was to characterize the association between recent major life events and depressive symptoms during early adulthood, and to determine whether adolescents with chronically low positive affect or persistent sleep disturbance were more vulnerable to the link between stress and depressive symptoms. Adolescents (n = 147; 63.9% female; 33.7% non-Hispanic white) were recruited in 10th-11th grade and re-assessed 2 and 4 years later. At each assessment, adolescents completed measures of positive affect and sleep disturbances. At the final assessment, participants reported on their exposure to major life events in the past 12 months. Exposure to more major life events in the past year was associated with greater depressive symptoms in early adulthood. Chronically low positive affect and persistent sleep disturbances throughout adolescence each independently moderated this relationship. Specifically, only participants reporting low positive affect across the three assessments showed a positive and significant association between major life events and depressive symptoms. Further, only participants reporting sleep disturbances at all three assessments showed a positive and significant association between major life events and depressive symptoms. Chronically low positive affect and persistent sleep disturbances during adolescence may be useful indicators of risk for depression during early adulthood. Further, interventions targeting adolescent sleep disturbances and improving positive affect may be useful in reducing the risk for depression following life stress during this high risk developmental phase.

The Predictive Role of Affectivity, Self-Esteem and Social Support in Depression and Anxiety in Children and Adolescents

Background: This study analyzes the relationship between depression and anxiety levels and positive and negative affect, self-esteem, and perceived social support from family and friends in an early and middle adolescent sample. These are psychological variables that are often associated with the prediction of emotional disorders, especially depression. Methods: Participants (N = 467) were a representative sample of this group of adolescents and were recruited from schools in the city of Concepción, Chile. Part of the sample (N = 177) was assessed three additional times—at one-, two-, and four-month intervals. Results: Results showed a practical stability of all measures across the four intervals, with no significant differences between sexes. Anxiety and depression displayed a similar pattern of significant relationships with affectivity, self-esteem, and social support. Depression had a higher correlation coefficient (−0.47) with positive affect, and so did anxiety with negative affect (0.58). Conclusions: Taking into account 23 initial scores on affectivity, self-esteem, and social support in predicting both depression and anxiety scores at one-month, two-month, and four-month intervals, positive affect was present in three regression analyses, predicting depression scores; negative affect was present in anxiety scores. Results are discussed according to previous findings, as well as the tripartite model.

A Latent Profile Analysis of Anxiety among Junior High School Students in Less Developed Rural Regions of China

The purpose of this study is to understand the potential types of anxiety among middle school students by analyzing the current situation of middle school students’ anxiety and its influencing factor. This study used a multistage stratified cluster random sampling to investigate students in grades 9 to 12. Mplus 7.4 was used for latent profile analysis. A total of 900 junior high school students were investigated. The junior high school students were divided into three subgroups by latent profile analysis. A total of 223 junior high school students experienced severe anxiety, accounting for 24.78%. Multivariate logistic regression analysis revealed that males are more likely to develop moderate and severe anxiety. The development of severe anxiety (OR = 0.562, p < 0.05) is less likely for students in schools with adequate mental health support. Students who were confident with their academic performances were less likely to develop moderate anxiety (OR = 0.377, p < 0.05). Students with extreme academic pressure are more likely to develop moderate anxiety (OR = 6.523, p < 0.05) and severe anxiety (OR = 11.579, p < 0.05). It is recommended that mental health counseling be set up in schools and to provide professional counselors to prevent serious anxiety for students. This paper also demonstrates a need to reduce students’ academic pressure.

Prefrontal Executive Control Rescues Risk for Anxiety Associated with High Threat and Low Reward Brain Function

Compared with neural biomarkers of risk for mental illness, little is known about biomarkers of resilience. We explore if greater executive control-related prefrontal activity may function as a resilience biomarker by "rescuing" risk associated with higher threat-related amygdala and lower reward-related ventral striatum activity. Functional MRI was used to assay baseline threat-related amygdala, reward-related ventral striatum, and executive control-related prefrontal activity in 120 young adult volunteers. Participants provided self-reported mood and anxiety ratings at baseline and follow-up. A moderation model revealed a significant three-way interaction wherein higher amygdala and lower ventral striatum activity predicted increases in anxiety in those with average or low but not high prefrontal activity. This effect was specific to anxiety, with the neural biomarkers explaining ~10% of the variance in change over time, above and beyond baseline symptoms, sex, age, IQ, presence or absence of DMS-IV diagnosis, and both early and recent stress. Our findings are consistent with the importance of top-down executive control in adaptive regulation of negative emotions, and highlight a unique combination of neural biomarkers that may identify at-risk individuals for whom the adoption of strategies to improve executive control of negative emotions may prove particularly beneficial.

Anxiety in transition: Neuroendocrine mechanisms supporting the development of anxiety pathology in adolescence and young adulthood

Adolescence marks a key developmental window during which emotion dysregulation increases, along with risk for the onset of anxiety and other affect-related pathologies. Although emotion dysregulation and related pathologies normatively decline during the transition into adulthood, this does not occur for a sizable minority of individuals. Finally, sex differences in anxiety emerge during adolescence, with females developing a 2-fold increase in risk relative to males. Unfortunately, a neurobiological model of the mechanisms that cause these changes during adolescence has yet to be proposed. In the present work, we first provide brief reviews of relevant literature. Next, we outline a dual-mechanism model focused on (i) the influence of pubertal testosterone on key emotion-regulation circuitry (i.e., orbitofrontal cortex-amygdala coupling) and (ii) myelination of the fiber bundles connecting such circuitry (i.e., uncinate fasciculus). The proposed model offers a set of specific, testable hypotheses that will hopefully spur much needed cross-disciplinary research.

Sleep quality, insomnia, and internalizing difficulties in adolescents: insights from a twin study

Study Objectives

There is a well-established association between poor sleep quality and internalizing traits. This relationship has previously been studied using a twin design. However, when it comes to adolescence, there is a paucity of twin studies that have investigated this relationship, despite the importance of this developmental stage for both the development of poor sleep quality and internalizing symptoms. Additionally, anxiety sensitivity, which is commonly associated with poor sleep quality, has not been studied in this context. Our objective was to estimate genetic and environmental influences on the relationships between insomnia, poor sleep quality, and internalizing symptoms in adolescence.

Methods

Insomnia, poor sleep quality, depression, anxiety, and anxiety sensitivity traits were measured in a sample of 5111 twin pairs from the Twins Early Development Study, born between 1994 and 1996 (mean age 16.32 years [SD = 0.68]).

Results

A moderate proportion of the variance for the different variables (.29–.42) was explained by genetic factors. Associations between sleep and internalizing variables were moderate (r = .34–.46) and there was a large genetic overlap between these variables (rA= .51–.73).

Conclusion

This study adds novel information by showing that there are large genetic correlations between sleep disturbances and internalizing symptoms in adolescence.

Maltreatment subtypes, depressed mood, and anhedonia: A longitudinal study with adolescents

OBJECTIVE

Maltreatment exposure is a robust predictor of adolescent depression. Yet despite this well-documented association, few studies have simultaneously examined how maltreatment subtypes relate to qualitatively distinct depressive symptoms. The present multiwave longitudinal study addressed this gap in the literature by examining how different maltreatment subtypes independently impact depressed mood and anhedonia over time in a diverse adolescent sample.

METHOD

Adolescents (N = 673, M_age = 14.83, SD_age = 0.66, 57.1% female, 32.8% Hispanic, 30.4% Caucasian, 25.0% African American) completed self-report inventories for child-maltreatment and annual self-report measures of depressed mood and anhedonia over the course of 6 years. We used latent-growth-curve modeling to test how maltreatment exposure predicted anhedonia and depressed mood, and whether these relations differed as a function of sex and/or race/ethnicity.

RESULTS

Overall, both emotional abuse (p < .001) and neglect (p = .002) predicted levels of depressed mood over time, whereas only emotional neglect predicted levels (p < .001) and trajectories (p = .001) of anhedonia. Physical and sexual abuse did not predict depressive symptoms after accounting for emotional abuse and neglect (ns). These findings were largely invariant across sex and race.

CONCLUSION

Findings suggest that the consequences of emotional neglect may be especially problematic in adolescence because of its impact on both depressed mood and anhedonia, and that emotional abuse's association with depression is best explained via symptoms of depressed mood. These findings are congruent with recent findings that more "silent types" of maltreatment uniquely predict depression, and that abuse and neglect experiences confer distinct profiles of risk for psychological distress. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Temporal dynamics and longitudinal co-occurrence of depression and different anxiety syndromes in youth: Evidence for reciprocal patterns in a 3-year prospective study

BACKGROUND

Depression is highly comorbid with anxiety in youth. It is frequently reported that anxiety precedes depression; however, evidence surrounding the temporal precedence of anxiety over depression is mixed. Many studies of anxiety-depression co-occurrence lump distinct forms of anxiety, obscuring information regarding trajectories of specific anxiety syndromes. This study sought to more accurately describe the development of anxiety and depression over time by moving beyond the question of temporal precedence to investigate a developmentally dynamic model of anxiety-depression co-occurrence.

METHODS

A community sample of 665 youth (M= 11.8, SD= 2.4; 55% female) completed repeated self-report measures of depression and anxiety (social, physical, and separation anxiety) over a 3-year longitudinal study. Prospective associations between distinct syndromes of anxiety with depression were analyzed using an autoregressive cross-lagged path model over four time points.

RESULTS

Physical symptoms and depression symptoms reciprocally predicted each other, above and beyond the stability of either domain. Social anxiety and depression symptoms similarly predicted each other in a systematic pattern.

LIMITATIONS

Our study is limited in its generalizability to other forms of anxiety, like worry. Additional research is needed to determine whether similar patterns exist in clinical populations, and whether these processes maintain symptoms once they reach diagnostic levels.

CONCLUSIONS

The development of syndromes of depression, physical, and social anxiety during childhood and adolescence occurs in a predictable, systematic reciprocal pattern, rather than sequentially and unidirectionally (i.e., anxiety syndromes precede depression). Results are clinically useful for predicting risk for disorder, and demonstrate the necessity of tracking symptom levels across domains.

Etiology of Stability and Growth of Internalizing and Externalizing Behavior Problems Across Childhood and Adolescence

Internalizing and externalizing behaviors are heritable, and show genetic stability during childhood and adolescence. Less work has explored how genes influence individual differences in developmental trajectories. We estimated ACE biometrical latent growth curve models for the Teacher Report Form (TRF) and parent Child Behavior Checklist (CBCL) internalizing and externalizing scales from ages 7 to 16 years in 408 twin pairs from the Colorado Longitudinal Twin Study. We found that Intercept factors were highly heritable for both internalizing and externalizing behaviors (a2 = .61-.92), with small and nonsignificant environmental influences for teacher-rated data but significant nonshared environmental influences for parent-rated data. There was some evidence of heritability of decline in internalizing behavior (Slopes for teacher and parent ratings), but the Slope genetic variance was almost entirely shared with that for the Intercept when different than zero. These results suggest that genetic effects on these developmental trajectories operate primarily on initial levels and stability, with no significant unique genetic influences for change. Finally, cross-rater analyses of the growth factor scores revealed moderate to large genetic and environmental associations between growth factors derived from parents' and teachers' ratings, particularly the Intercepts.