Treating co-occurring depression and anxiety: modeling the dynamics of psychopathology and psychotherapy using the time-varying effect model

Assessing Theories of State and Trait Change in Neuroticism and Symptom Improvement in the Unified Protocol

Researchers have shown neuroticism decreases with treatment (Roberts et al., 2017), although it is unclear if this reflects fleeting state-level changes (state-artifact position) or trait-level change (cause-correction hypothesis). These theories further propose that changes in neuroticism predict symptom change (cause-correction hypothesis) or are predicted by symptom change (state-artifact position). We compared these theories in a clinical trial of the Unified Protocol (UP). Participants (N = 38; Mage = 34.55, 71.1% female, 78.9% Caucasian) meeting DSM-5 criteria for a primary emotional disorder completed up to 12 weekly sessions of the UP. Neuroticism exhibited state-level changes by Session 6 but trait-level changes by Session 12. Within-person reductions in neuroticism exhibited bidirectional relations with anxiety symptom change but predicted unidirectional session-to-session reductions in depression. These findings provide relatively more nuanced support for the cause-correction hypothesis that the UP leads to trait changes in neuroticism that tend to precede symptom change.

Time-Varying Effect Models for Examining Age-Dynamic Associations in Gerontological Research

OBJECTIVES

Dynamic processes unfolding over later adulthood are of prime interest to gerontological researchers. Time-varying effect modeling (TVEM) accommodates dynamic change trajectories, but its use in gerontological research is limited. We introduce and demonstrate TVEM with an empirical example based on the National Health and Aging Trends Study (NHATS).

METHODS

We examined (a) age-varying prevalence of past month elevated symptoms of depression and anxiety and (b) age-varying associations between older adults' elevated symptoms of depression and anxiety and needing help with basic activities of daily living and educational attainment.

RESULTS

The proportion of participants reporting elevated symptoms of depression and anxiety in the past month increased gradually from 23-29% across the ages 70-92. Individuals needing help with ADLs had higher odds of reporting elevated symptoms of depression and anxiety, however the association was strongest for those in their 60s versus 80s. Across all ages, adults with lower education levels had higher odds of reporting elevated symptoms of depression and anxiety, an association that also varied by age.

CONCLUSION

We demonstrated TVEM's value for studying dynamic associations that vary across chronological age. With the recent availability of free, user-friendly software for implementing TVEM, gerontological researchers have a new tool for exploring complex change processes that characterize older adults' development.

Examining the temporal dynamics of anxiety and depressive symptoms during a therapist-supported, smartphone-based intervention for depression: Longitudinal observational study

OBJECTIVE

This study examined the temporal dynamics of anxiety and depressive symptoms during a 12-week therapist-supported, smartphone-delivered digital health intervention for symptoms of depression and anxiety.

METHODS

A total of 290 participants were included in the present analyses (age Mean = 39.64, SD = 10.25 years; 79% female; 54% self-reported psychotropic medication use). Linear mixed models were used to examine the concurrent anxiety-depression association and (2) the lead-lag anxiety-depression relationship, with greater anxiety predicted to precede an increase in depression.

RESULTS

In support of Hypothesis 1, greater anxiety during the current biweekly assessment was associated with greater depressive symptoms during the current biweekly assessment. In support of Hypothesis 2, greater anxiety during the prior biweekly assessment was associated with greater depressive symptoms during the current biweekly assessment but not vice-versa.

CONCLUSION

These findings demonstrate that anxiety and depressive symptoms may overlap and fluctuate in concert, with anxiety symptoms predicting subsequent depressive symptoms but not vice-versa. With sensitivity to study limitations, implications for future intervention designs are discussed.

Effect of interpersonal psychotherapy on social functioning, overall functioning and negative emotions for depression: A meta-analysis

BACKGROUND

Interpersonal psychotherapy (IPT) has been widely used for depression. However, current studies of IPT have been restricted to depressive symptoms, and the results for improving social functioning were controversial.

METHODS

A comprehensive literature search of randomized controlled trials (RCTs) was conducted through eleven databases. Data analysis was performed by RevMan5.3, and effects were summarized by using a random effects model of mean differences with 95 % confidence intervals.

RESULTS

From 2443 records, eleven studies met inclusion and exclusion criteria were used for meta-analysis. The results showed that IPT had significant effects on improving social functioning (SMD: -0.53, 95 % CI: -0.80 to -0.26), reducing depression (SMD: -0.49, 95 % CI: -0.80 to -0.19) and anxiety (SMD: -0.90, 95 % CI: -1.28 to -0.52), but the effect on the overall functioning (SMD: -0.37, 95 % CI: -0.73 to -0.01) is not obvious. Moreover, subgroup analysis showed that IPT was effective in improving social functioning in adolescent depression (SMD: -0.35, 95 % CI: -0.58 to -0.13) and perinatal depression (SMD: -1.01, 95 % CI: -1.35 to -0.67), while there was no significant difference in the adult depression group (SMD: -0.39, 95 % CI: -1.05 to 0.27).

LIMITATION

The blind method cannot be carried out in most studies due to the particularity of psychotherapy, heterogeneity in some results.

CONCLUSION

IPT has a significant effect on improving social functioning and reducing depression and anxiety, while the effect on overall functioning requires further research. Overall, IPT is one of the effective nonpharmacological treatments for depression.

Rethinking Autism Intervention Science: A Dynamic Perspective

Recent advances in longitudinal methodologies for observational studies have contributed to a better understanding of Autism as a neurodevelopmental condition characterized by within-person and between-person variability over time across behavioral domains. However, this finer-grained approach to the study of developmental variability has yet to be applied to Autism intervention science. The widely adopted experimental designs in the field-randomized control trials and quasi-experimental designs-hold value for inferring treatment effects; at the same time, they are limited in elucidating what works for whom, why, and when, given the idiosyncrasies of neurodevelopmental disorders where predictors and outcomes are often dynamic in nature. This perspective paper aims to serve as a primer for Autism intervention scientists to rethink the way we approach predictors of treatment response and treatment-related change using a dynamic lens. We discuss several empirical gaps, and potential methodological challenges and opportunities pertaining to: (1) capturing finer-grained treatment effects in specific behavioral domains as indexed by micro-level within-person changes during and beyond intervention; and (2) examining and modeling dynamic prediction of treatment response. Addressing these issues can contribute to enhanced study designs and methodologies that generate evidence to inform the development of more personalized interventions and stepped care approaches for individuals on the heterogeneous spectrum of Autism with changing needs across development.

Anxiety symptoms across twenty-years in schizoaffective disorder, bipolar disorder, and major depressive disorder

Anxiety symptoms and anxiety disorders are common in both mood and psychotic disorders. However, limited comparative information exists regarding the long-term course of anxiety in schizoaffective disorder, bipolar disorder, and major depressive disorder. Prospective evaluation of the 20-year trajectory of self-reported anxiety and somatic-related anxiety in three major diagnostic groups, 43 schizoaffective patients, 47 bipolar patients, and 109 major depression patients was conducted. The patients were recruited at an index phase of hospitalization, and then reassessed longitudinally at six subsequent follow-ups over 20-years. The sample was well characterized with symptom, recovery and functioning data being available. This study found that in the earlier years of illness, self-reported anxiety was greater in schizoaffective and major depression patients than bipolar patients. The three groups were similar for anxiety symptoms during the 20-year course of their illness. Last, we found in all patients, self-reported anxiety in the early years predicted having a period of recovery and lower global functioning in the future. Our data provides unique information regarding the comparative course of anxiety in related mood and psychotic disorders. Both clinicians and researchers should focus on assessing, diagnosing, and treating anxiety in mood and psychotic disorders, as a means to improve outcomes and quality of life in these individuals.

Time-varying moderation of treatment outcomes by illness duration and comorbid depression in generalized anxiety disorder

OBJECTIVE

To extend the sparse literature on moderators, we used time-varying effect modeling (TVEM; Tan, Shiyko, Li, Li, & Dierker, 2012) to examine how depressive symptoms and duration of generalized anxiety disorder (GAD) moderated effects of 3 treatments for GAD (applied relaxation [AR], cognitive-behavioral therapy [CBT], and nondirective therapy [ND]) over time using intensive repeated measures.

METHOD

In a secondary analysis of Borkovec and Costello (1993), 66 GAD clients were randomly assigned to AR (n = 23), CBT (n = 23), or ND (n = 20). Clients received 12 therapy sessions over 6 weeks, and after 2 weeks of posttreatment assessment, had 2 additional weekly fading sessions. They completed thrice daily anxiety ratings during this 10-week period. GAD duration (Anxiety Disorders Interview Schedule-Revised) and depressive symptoms (Hamilton Depression Rating Scale) were assessed at baseline.

RESULTS

Longer GAD duration predicted less anxiety reduction in CBT and ND relative to AR. These effects were pronounced in the later phase of treatment, suggesting benefits of focused relaxation practice for clients with longer duration. Higher depression predicted better response to CBT than AR and ND. The moderation effects were also more noticeable in the later phase. In multilevel analyses, a similar moderation pattern held at 1-year follow-up on clinician-rated measures.

CONCLUSION

GAD clients with long-standing symptoms may benefit more from repeatedly practicing fewer skills than learning multiple skills. On the other hand, clients with comorbid depression may respond better to CBT than AR, perhaps because CBT includes cognitive interventions that can generalize to depression. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Do comorbid social and other anxiety disorders predict outcomes during and after cognitive therapy for depression?

BACKGROUND

Cognitive therapy (CT) improves symptoms in adults with major depressive disorder (MDD) plus comorbid anxiety disorder, but the specific type of anxiety may influence outcomes. This study compared CT outcomes among adults with MDD plus social, other, or no comorbid anxiety disorders.

METHODS

Outpatients with recurrent MDD (N = 523, including 87 with social and 110 with other comorbid anxiety disorders) received acute-phase CT. Higher risk responders (n = 241 with partial or unstable response) were randomized to 8 months of continuation treatment (CT or clinical management plus fluoxetine or pill placebo), followed by 24 months of assessment. Lower risk responders (n = 49) were assessed for 32 months without additional research treatment. Depression, anxiety symptoms, and social avoidance were measured repeatedly.

RESULTS

Other (non-social), but not social, anxiety disorders predicted elevated depression and anxiety symptoms throughout and after acute-phase CT. Social, but not other, anxiety disorder predicted greater reduction in depressive symptoms during acute-phase CT and elevated social avoidance during and after acute-phase CT.

LIMITATIONS

Anxiety disorders were assessed only before acute-phase treatment. The anxiety symptom measure was brief. Generalization to other patient populations and treatments is unknown.

CONCLUSIONS

Non-social comorbid anxiety disorders may reduce the efficacy of acute-phase CT for MDD by diminishing both short- and longer term outcomes relative to depressed patients without comorbid anxiety disorders. Comorbid social anxiety disorder may increase relative reductions in depressive symptoms during acute-phase CT for MDD, but patients with comorbid social anxiety disorder may require specialized focus on social avoidance during CT.

The influence of comorbid anxiety on the effectiveness of Cognitive Therapy and Interpersonal Psychotherapy for Major Depressive Disorder

BACKGROUND

Anxious depression is an important subtype of Major Depressive Disorder (MDD) defined by both syndromal (anxiety disorders) and dimensional (anxiety symptoms) criteria. A debated question is how anxiety affects MDD treatment. This study examined the impact of comorbid anxiety disorders and symptoms on the effectiveness of and dropout during Cognitive Therapy (CT) and Interpersonal Psychotherapy (IPT) for MDD.

METHODS

Depressed individuals were randomized to CT (n = 76) or IPT (n = 75). Outcome was depression severity measured with the Beck Depression Inventory-II (BDI-II) at the start of each therapy session, post treatment, and monthly up to five months follow-up. Anxiety disorders were assessed with the Structured Clinical Interview for DSM-IV Axis I disorders, (phobic) anxiety symptoms were assessed with Brief Symptom Inventory subscales.

RESULTS

Approximately one third of participants had a comorbid anxiety disorder. Comorbid anxiety disorders and anxiety symptoms were associated with less favorable depression change during IPT as compared to CT in the treatment phase, but not in the trial follow-up phase. Individuals with a comorbid anxiety disorder had significantly higher treatment dropout during both treatments.

LIMITATIONS

Not all therapists and participants were blind to the assessment of comorbid anxiety disorders and the assessments were performed by one rater.

CONCLUSIONS

A preference for CT over IPT for MDD is justifiable when comorbid anxiety is present, although long-term differences are not established and replication of this finding is needed. Clinicians should be aware of the risk of dropout for depressed individuals with an anxiety disorder.

Modeling the complexity of dynamic, momentary interpersonal behavior: Applying the time-varying effect model to test predictions from interpersonal theory

This paper demonstrates a recently-popularized quantitative method, the time-varying effect model (TVEM), in describing dynamic, momentary interpersonal processes implicated by Interpersonal Theory. We investigated moment-to-moment complementarity in affiliation and control behaviors (i.e., correspondence in affiliation and reciprocity in control between married dyad members) in a five-minute interaction (N=135), and how complementarity changed over time. Overall, results supported complementarity in affiliation and control. Moreover, effects were time-varying: Complementarity in affiliation increased over time and complementary in control changed over time in a cyclical manner. Dyadic adjustment moderated the strength in complementarity in control during specific timeframes. We discuss implications of these results and future directions. The findings support the utility of TVEM for studying dynamic and time-dependent interpersonal processes.

The shape of change in perceived stress, negative affect, and stress sensitivity during mindfulness-based stress reduction

Both daily stress and the tendency to react to stress with heightened levels of negative affect (i.e., stress sensitivity) are important vulnerability factors for adverse mental health outcomes. Mindfulness-based stress reduction (MBSR) may help to reduce perceived daily stress and stress sensitivity. The purpose of this study was to examine how change in perceived stress, negative affect (NA), and the decoupling between perceived stress and NA evolved over the course of a MBSR program, without making any a priori assumptions on the shape of change. Seventy-one adults from the general population participating in MBSR provided daily diary assessments of perceived stress and NA during MBSR. The time-varying effect model (TVEM) indicated that perceived stress and NA decreased in a linear fashion rather than in a non-linear fashion, both as a function of time and as a function of the cumulative number of days of mindfulness practice. Both TVEM and multilevel growth modeling showed that the association between perceived stress and NA did not decrease over the course of MBSR. The findings support the hypothesis that MBSR reduces NA and also reduces the extent to which individuals perceive their days as stressful. Also, the results suggest that there is a dose-response relationship between the amount of mindfulness practice and reductions in daily stress and NA.

Time-varying effect modeling to address new questions in behavioral research: Examples in marijuana use

Time-varying effect modeling (TVEM), a statistical approach that enables researchers to estimate dynamic associations between variables across time, holds enormous potential to advance behavioral research. TVEM can address innovative questions about processes that unfold across different levels of time. We present a conceptual introduction to the approach and demonstrate 4 innovative ways to approach time in TVEM to advance research on the etiology of marijuana use. First, we examine changes in associations across historical time to understand how the link between marijuana use attitudes and marijuana use behavior has shifted from 1976 to present; gender differences in the relevance of attitudes diminished over time and were no longer significant after 2004. Second, we examine age-varying associations between heavy episodic drinking and marijuana use across developmental time and demonstrate that this dynamic association is substantially stronger during ages 14 to 16 compared with later ages. Third, we explore the complex association between age of onset of marijuana use and adult marijuana use to identify precise age ranges during which the onset of use is most risky, and demonstrate how this complex association is more salient for males. Finally, we examine changes in marijuana use as a function of time relative to the birth of first child and show how this transition is more crucial for females. All empirical examples in this methodological demonstration rely on existing data from cross-sectional or panel studies. We conclude with thoughts on future directions for the application and further development of TVEM in behavioral research. (PsycINFO Database Record

Time-varying effects of families and peers on adolescent marijuana use: Person-environment interactions across development

Studies have demonstrated that the effects of two well-known predictors of adolescent substance use, family monitoring and antisocial peers, are not static but change over the course of adolescence. Moreover, these effects may differ for different groups of youth. The current study uses time-varying effect modeling to examine the changes in the association between family monitoring and antisocial peers and marijuana use from ages 11 to 19, and to compare these associations by gender and levels of behavioral disinhibition. Data are drawn from the Raising Healthy Children study, a longitudinal panel of 1,040 youth. The strength of association between family monitoring and antisocial peers and marijuana use was mostly steady over adolescence, and was greater for girls than for boys. Differences in the strength of the association were also evident by levels of behavioral disinhibition: youth with lower levels of disinhibition were more susceptible to the influence of parents and peers. Stronger influence of family monitoring on girls and less disinhibited youth was most evident in middle adolescence, whereas the stronger effect of antisocial peers was significant during middle and late adolescence. Implications for the timing and targeting of marijuana preventive interventions are discussed.

Time-varying associations between confidence and motivation to abstain from marijuana during treatment among adolescents

INTRODUCTION

An important goal of addictions treatment is to develop a positive association between high levels of confidence and motivation to abstain from substance use. This study modeled the time-varying association between confidence and motivation to abstain from marijuana use among youth in treatment, and the time-varying effect of pre-treatment covariates (marijuana abstinence goal and perceived peer marijuana use) on motivation to abstain.

METHOD

150 adolescents (75% male, 83% White) in community-based intensive outpatient treatment in Pennsylvania completed a pre-treatment assessment of abstinence goal, perceived peer marijuana use, and motivation and confidence to abstain from marijuana. Ratings of motivation and confidence to abstain also were collected after each session. A time-varying effect model (TVEM) was used to characterize changes in the association between confidence and motivation to abstain (lagged), and included covariates representing pre-treatment abstinence goal and perceived peer marijuana use.

RESULTS

Confidence and motivation to abstain from marijuana generally increased during treatment. The association between confidence and motivation strengthened across sessions 1-4, and was maintained through later sessions. Pre-treatment abstinence goal had an early time-limited effect (through session 6) on motivation to abstain. Pre-treatment perception of peer marijuana use had a significant effect on motivation to abstain only at session 2.

CONCLUSIONS

Early treatment sessions represent a critical period during which the association between confidence and motivation to abstain generally increased. The time-limited effects of pre-treatment characteristics suggest the importance of early sessions in addressing abstinence goal and peer substance use that may impact motivation to abstain from marijuana.

Implementing Dynamic Assessments in Psychotherapy

In this article, we organize multimethod, multitimescale data around the interpersonal situation, a conceptual framework that can be used to integrate personality, psychopathology, and psychotherapy constructs in order to guide the assessment of clinical dynamics. We first describe the key variables of the interpersonal situation model and articulate methods for assessing those variables as they manifest (a) across different levels of personality, (b) across situations, and (c) within situations. We next use a case to demonstrate how to assess aspects of the interpersonal situation in a manner that enhances case conceptualization and facilitates the evaluation of clinical hypotheses. We also use this case to highlight challenges and decisions involved in implementing dynamic assessment in psychotherapy. We conclude by outlining areas in need of further exploration toward a more sophisticated approach to clinical practice that involves the routine assessment of dynamic processes.

Examining the Dynamic Structure of Daily Internalizing and Externalizing Behavior at Multiple Levels of Analysis

Psychiatric diagnostic covariation suggests that the underlying structure of psychopathology is not one of circumscribed disorders. Quantitative modeling of individual differences in diagnostic patterns has uncovered several broad domains of mental disorder liability, of which the Internalizing and Externalizing spectra have garnered the greatest support. These dimensions have generally been estimated from lifetime or past-year comorbidity patters, which are distal from the covariation of symptoms and maladaptive behavior that ebb and flow in daily life. In this study, structural models are applied to daily diary data (Median = 94 days) of maladaptive behaviors collected from a sample (N = 101) of individuals diagnosed with personality disorders (PDs). Using multilevel and unified structural equation modeling, between-person, within-person, and person-specific structures were estimated from 16 behaviors that are encompassed by the Internalizing and Externalizing spectra. At the between-person level (i.e., individual differences in average endorsement across days) we found support for a two-factor Internalizing-Externalizing model, which exhibits significant associations with corresponding diagnostic spectra. At the within-person level (i.e., dynamic covariation among daily behavior pooled across individuals) we found support for a more differentiated, four-factor, Negative Affect-Detachment-Hostility-Disinhibition structure. Finally, we demonstrate that the person-specific structures of associations between these four domains are highly idiosyncratic.

Does Publication Bias Inflate the Apparent Efficacy of Psychological Treatment for Major Depressive Disorder? A Systematic Review and Meta-Analysis of US National Institutes of Health-Funded Trials

BACKGROUND

The efficacy of antidepressant medication has been shown empirically to be overestimated due to publication bias, but this has only been inferred statistically with regard to psychological treatment for depression. We assessed directly the extent of study publication bias in trials examining the efficacy of psychological treatment for depression.

METHODS AND FINDINGS

We identified US National Institutes of Health grants awarded to fund randomized clinical trials comparing psychological treatment to control conditions or other treatments in patients diagnosed with major depressive disorder for the period 1972-2008, and we determined whether those grants led to publications. For studies that were not published, data were requested from investigators and included in the meta-analyses. Thirteen (23.6%) of the 55 funded grants that began trials did not result in publications, and two others never started. Among comparisons to control conditions, adding unpublished studies (Hedges' g = 0.20; CI95% -0.11~0.51; k = 6) to published studies (g = 0.52; 0.37~0.68; k = 20) reduced the psychotherapy effect size point estimate (g = 0.39; 0.08~0.70) by 25%. Moreover, these findings may overestimate the "true" effect of psychological treatment for depression as outcome reporting bias could not be examined quantitatively.

CONCLUSION

The efficacy of psychological interventions for depression has been overestimated in the published literature, just as it has been for pharmacotherapy. Both are efficacious but not to the extent that the published literature would suggest. Funding agencies and journals should archive both original protocols and raw data from treatment trials to allow the detection and correction of outcome reporting bias. Clinicians, guidelines developers, and decision makers should be aware that the published literature overestimates the effects of the predominant treatments for depression.

Connecting Personality Structure and Dynamics: Towards a More Evidence-Based and Clinically Useful Diagnostic Scheme

The purpose of this special issue of the Journal of Personality Disorders is to promote the integration of personality structure and dynamics towards more evidence-based and clinically useful conceptualizations of personality pathology. In this article, we describe a contemporary model of personality structure that is useful for distinguishing patients from one another and the connections between this structure and within-person dynamics that occur across different levels of an individual personality, across situations, and within situations. In so doing, we connect the personality trait tradition that has tended to emphasize stable individual differences with traditions that have tended to focus on the more dynamic aspects of interpersonal behavior and emotional experience. We then introduce the empirical articles in this special issue within this integrative context, in order to demonstrate the value in connecting personality structure to dynamics for research and practice.