Comparing the streamlined psychotherapy "Engage" with problem-solving therapy in late-life major depression. A randomized clinical trial

Treatment resistant late-life depression: A narrative review of psychosocial risk factors, non-pharmacological interventions, and the role of clinical phenotyping

BACKGROUND

Treatment resistant depression (TRD) is a subset of major depressive disorder (MDD) in which symptoms do not respond to front line therapies. In older adults, the assessment and treatment of TRD is complicated by psychosocial risk factors unique to this population, as well as a relative paucity of research.

METHODS

Narrative review aimed at (1) defining TRLLD for clinical practice and research; (2) describing psychosocial risk factors; (3) reviewing psychological and non-pharmacological treatments; (4) discussing the role of clinical phenotyping for personalized treatment; and (5) outlining research priorities.

RESULTS

Our definition of TRLLD centers on response to medication and neuromodulation in primary depressive disorders. Psychosocial risk factors include trauma and early life adversity, chronic physical illness, social isolation, personality, and barriers to care. Promising non-pharmacological treatments include cognitive training, psychotherapy, and lifestyle interventions. The utility of clinical phenotyping is highlighted by studies examining the impact of comorbidities, symptom dimensions (e.g., apathy), and structural/functional brain changes.

LIMITATIONS

There is a relative paucity of TRLLD research. This limits the scope of empirical data from which to derive reliable patterns and complicates efforts to evaluate the literature quantitatively.

CONCLUSIONS

TRLLD is a complex disorder that demands further investigation given our aging population. While this review highlights the promising breadth of TRLLD research to date, more research is needed to help elucidate, for example, the optimal timing for implementing risk mitigation strategies, the value of collaborative care approaches, specific treatment components associated with more robust response, and phenotyping to help inform treatment decisions.

Improving social reward responsivity and social connectedness in psychotherapies for late-life depression: Engage & Connect as an example

Psychotherapies are effective in reducing late-life depression. Yet, about half of patients remain depressed at treatment end. Advances in neuroscience can inform simplified interventions that target key brain networks impacted by depression. Behavioral activation therapies that increase social connectedness may improve social reward responsivity and alter abnormalities of the Positive Valence System (PVS). Engage & Connect is an example for a scalable and simple neuroscience-informed psychotherapy, aimed to improve PVS functions and social reward responsivity by increasing engagement in rewarding social activities. Interventions that improve social reward responsivity can be promising first-line treatments for late-life depression in the community.

Engage coaching for caregivers: a pilot trial to reduce loneliness in dementia caregivers

OBJECTIVES

There are no evidence-based interventions for reducing loneliness in family caregivers of people with dementia (ADRD caregivers), despite heightened risk. We examined feasibility, acceptability, and potential efficacy of a brief behavioral intervention, Engage Coaching for Caregivers, to reduce loneliness and increase social connection for older ADRD caregivers experiencing stress and loneliness.

METHODS

A single-arm clinical trial of 8 individual sessions of Engage Coaching delivered remotely. Outcomes assessed 3-months post-intervention included loneliness and relationship satisfaction (co-primary) and perceived social isolation (secondary).

RESULTS

Engage Coaching was feasible to deliver, with n = 25 of 30 enrolled completing at least 80% of sessions. 83% indicated the program met expectations and 100% reported the program was suitable and convenient. Improvements were observed in loneliness (standardized response mean [SRM] = 0.63), relationship satisfaction (SRM = 0.56), and perceived social isolation (SRM = 0.70).

CONCLUSION

Engage Coaching is a promising behavioral intervention to enhance social connection for older ADRD caregivers.

Investigation of Active Ingredients Within Internet-Delivered Cognitive Behavioral Therapy for Depression: A Randomized Optimization Trial

Importance

There is limited understanding of how complex evidence-based psychological interventions such as cognitive behavioral therapy (CBT) for depression work. Identifying active ingredients may help to make therapy more potent, brief, and scalable.

Objective

To test the individual main effects and interactions of 7 treatment components within internet-delivered CBT for depression to investigate its active ingredients.

Design, Setting, and Participants

This randomized optimization trial using a 32-condition, balanced, fractional factorial optimization experiment (IMPROVE-2) recruited adults with depression (Patient Health Questionnaire-9 [PHQ-9] score ≥10) from internet advertising and the UK National Health Service Improving Access to Psychological Therapies service. Participants were randomized from July 7, 2015, to March 29, 2017, with follow-up for 6 months after treatment until December 29, 2017. Data were analyzed from July 2018 to April 2023.

Interventions

Participants were randomized with equal probability to 7 experimental factors within the internet CBT platform, each reflecting the presence vs absence of specific treatment components (activity scheduling, functional analysis, thought challenging, relaxation, concreteness training, absorption, and self-compassion training).

Main Outcomes and Measures

The primary outcome was depression symptoms (PHQ-9 score). Secondary outcomes include anxiety symptoms and work, home, and social functioning.

Results

Among 767 participants (mean age [SD] age, 38.5 [11.62] years; range, 18-76 years; 635 women [82.8%]), 506 (66%) completed the 6-month posttreatment follow-up. On average, participants receiving internet-delivered CBT had reduced depression (pre-to-posttreatment difference in PHQ-9 score, -7.79 [90% CI, -8.21 to -7.37]; 6-month follow-up difference in PHQ-9 score, -8.63 [90% CI, -9.04 to -8.22]). A baseline score-adjusted analysis of covariance model using effect-coded intervention variables (-1 or +1) found no main effect on depression symptoms for the presence vs absence of activity scheduling, functional analysis, thought challenging, relaxation, concreteness training, or self-compassion training (posttreatment: largest difference in PHQ-9 score [functional analysis], -0.09 [90% CI, -0.56 to 0.39]; 6-month follow-up: largest difference in PHQ-9 score [relaxation], -0.18 [90% CI, -0.61 to 0.25]). Only absorption training had a significant main effect on depressive symptoms at 6-month follow-up (posttreatment difference in PHQ-9 score, 0.21 [90% CI, -0.27 to 0.68]; 6-month follow-up difference in PHQ-9 score, -0.54, [90% CI, -0.97 to -0.11]).

Conclusions and Relevance

In this randomized optimization trial, all components of internet-delivered CBT except absorption training did not significantly reduce depression symptoms relative to their absence despite an overall average reduction in symptoms. The findings suggest that treatment benefit from internet-delivered CBT probably accrues from spontaneous remission, factors common to all CBT components (eg, structure, making active plans), and nonspecific therapy factors (eg, positive expectancy), with the possible exception of absorption focused on enhancing direct contact with positive reinforcers.

Trial Registration

isrctn.org Identifier: ISRCTN24117387.

A low-intensity behavioral intervention for depression in older adults delivered by lay coaches: proof-of-concept trial

OBJECTIVES

A broader workforce is necessary to expand U.S. geriatric mental health services. We examined (1) feasibility of training undergraduate students to deliver Do More, Feel Better (DMFB), an evidence-informed program for depression; and (2) feasibility, acceptability, and outcomes in a single-arm proof-of-concept trial.

METHOD

In Study 1, we taught DMFB to 18 upper-level undergraduate students and assessed fidelity using role plays. In Study 2, four students delivered six weekly DMFB sessions to 12 community-dwelling older adults (M = 66.83 years old, SD = 10.39) with depression (PHQ ≥ 10). Patient outcomes were change in pre- to post-treatment depressive symptoms, disability, and the target mechanism of increased activity.

RESULTS

Fidelity was high in the course (Study 1; 82.4% of role plays rated as 'passing') and the trial (Study 2; 100% of 24 sessions rated as 'passing'). The majority (83.3%) of patients were retained and evidenced statistically and clinically significant improvement in depressive symptoms (Hamilton Rating Scale for Depression [HAM-D]), disability (World Health Organization's Disability Assessment Schedule 2.0 [WHODAS 2.0], and activity (Behavioral Activation for Depression Scale [BADS]).

CONCLUSION

It is feasible to train bachelor's-level students to deliver a brief, structured intervention for depression. Future research should consider implementation strategies and stakeholder feedback.

Biological factors influencing depression in later life: role of aging processes and treatment implications

Late-life depression occurring in older adults is common, recurrent, and malignant. It is characterized by affective symptoms, but also cognitive decline, medical comorbidity, and physical disability. This behavioral and cognitive presentation results from altered function of discrete functional brain networks and circuits. A wide range of factors across the lifespan contributes to fragility and vulnerability of those networks to dysfunction. In many cases, these factors occur earlier in life and contribute to adolescent or earlier adulthood depressive episodes, where the onset was related to adverse childhood events, maladaptive personality traits, reproductive events, or other factors. Other individuals exhibit a later-life onset characterized by medical comorbidity, pro-inflammatory processes, cerebrovascular disease, or developing neurodegenerative processes. These later-life processes may not only lead to vulnerability to the affective symptoms, but also contribute to the comorbid cognitive and physical symptoms. Importantly, repeated depressive episodes themselves may accelerate the aging process by shifting allostatic processes to dysfunctional states and increasing allostatic load through the hypothalamic-pituitary-adrenal axis and inflammatory processes. Over time, this may accelerate the path of biological aging, leading to greater brain atrophy, cognitive decline, and the development of physical decline and frailty. It is unclear whether successful treatment of depression and avoidance of recurrent episodes would shift biological aging processes back towards a more normative trajectory. However, current antidepressant treatments exhibit good efficacy for older adults, including pharmacotherapy, neuromodulation, and psychotherapy, with recent work in these areas providing new guidance on optimal treatment approaches. Moreover, there is a host of nonpharmacological treatment approaches being examined that take advantage of resiliency factors and decrease vulnerability to depression. Thus, while late-life depression is a recurrent yet highly heterogeneous disorder, better phenotypic characterization provides opportunities to better utilize a range of nonspecific and targeted interventions that can promote recovery, resilience, and maintenance of remission.

Message-based psychotherapy for older adults: A cohort comparison study

Objective

Digital Mental Health Interventions (DMHI) can diminish inequities in mental health care provision. As DMHIs increase in popularity, however, older adults may be unintentionally excluded due to barriers such as lack of awareness, internet access, digital tools, technological socialization and education, physiological accessibility, and communication technology infrastructure. The aim of this study was to examine longitudinal treatment engagement patterns and 15-week clinical outcomes of depressed and anxious older adults compared to a matched cohort of younger adults seeking treatment from a large asynchronous telemedicine provider.

Methods

The 2,470 older adults (55+ years) and a matched cohort of younger adults (26-35 years) diagnosed with depression or anxiety were treated by licensed therapists via messaging 5 days a week. Patterns of treatment engagement on the platform were compared across groups by examining total number of days in treatment, days actively messaging on the platform, and average words and messages per week sent by patients over the entire period they remained in treatment. Symptoms were assessed every 3 weeks using the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Scale (GAD-7), and changes were compared across age groups over 15 weeks.

Results

Older patients attended more days in treatment than younger patients, but there were no differences in number of days actively messaging on the platform, number of messages per week, or word count per week. The two age groups did not differ in their final anxiety or depressive symptoms when controlling for total number of weeks attended. Patients in the younger age group experienced a quicker rate of reduction than older adults in their anxiety, but not depressive symptoms.

Conclusions

Among individuals willing to initiate care through a DMHI, older adults had overall similar engagement as younger adults and they showed similar improvement in symptoms of depression and anxiety. Given the advantages of message-based care for aiding a mental health workforce in serving larger numbers of individuals in need and the expected growth of the aging population, these findings could help healthcare systems in evaluating a variety of treatment options and delivery media for meeting the healthcare needs of the future.

Protocol for a collaborative randomised effectiveness trial of lay-delivered versus clinician-delivered behavioural activation in senior centres

INTRODUCTION

Depression is common among community-dwelling older adults who make use of senior centre services yet remains undertreated due to a lack of acceptable and available treatments. Emerging evidence suggests that lay health providers can offer psychosocial interventions for mental health disorders experienced by older adults. We developed a streamlined Behavioural Activation intervention (called 'Do More, Feel Better'; DMFB) to be delivered by older adult volunteers and propose to compare its effectiveness to that of clinician-delivered behavioural activation (BA).

METHODS AND ANALYSIS

This study is a type I collaborative randomised effectiveness trial testing the effect of DMFB in comparison to BA among 288 senior centre clients (aged 60+). Participant clients will be recruited from 6 Seattle, 6 New York City and 6 Tampa area senior centres serving economically and ethnically diverse communities. Primary outcomes will be increased activity level (target) and decreased depressive symptoms. Secondary outcomes will be functioning and client satisfaction, and an exploratory outcome will be treatment fidelity.

ETHICS AND DISSEMINATION

The study received ethics approval from the University of Washington Institutional Review Board (STUDY00011434). Client, volunteer and clinician participants will all provide informed consent for study procedures through in-person or remote contact with investigators. Results of this study will be presented in peer-reviewed journals and at professional conferences.

TRIAL REGISTRATION NUMBER

NCT04621877; ClinicalTrials.gov.

Depressive and anxiety symptoms in patients with COPD: A network analysis

BACKGROUND

Individuals with Chronic Obstructive Pulmonary Disease (COPD) often develop anxiety and depression, which worsen illness management and prognosis. Physical and psychological symptoms, contextual and illness-related factors display complex reciprocal interactions, which give rise to heterogeneous presentations. Examining the patterns of association between specific physical and psychological symptoms in patients with COPD may help to focus on the precision of the patient-centred care.

RESEARCH QUESTION

We used network analyses to examine the links between symptoms of COPD, depression and anxiety.

METHODS

Data from 1587 individuals with COPD from the COPDGene study were included. We estimated a Bayesian Gaussian Graphical Model to highlight the unique associations between symptoms of COPD (assessed with the COPD Assessment Test), depression and anxiety (assessed with the Hospital Anxiety and Depression Scale (HADS), while examining the role of sociodemographic characteristics, lung function tests, and health status.

RESULTS

Unique Variable Analysis reduced 14 HADS items to Tension/worry (chronic anxiety), Fear/panic (acute anxiety), Restlessness, Anhedonia, Sadness and Slowing. In network analyses, chest-tightness was related to acute anxiety, while cough and weakness were connected with core depressive symptoms (sadness and lack of pleasure). Chronic anxiety was linked with acute anxiety and depressive symptoms. Findings were confirmed accounting for the role of confounders, including lung function, sex, ethnicity and lifestyle factors. A simulation based on our model yielded distinct predictions about anxiety and depression in two participants with similar COPD severity, but different symptom profiles.

CONCLUSION

Network analyses highlighted specific associations between symptoms of COPD, depression and anxiety. Accounting for symptom-level interactions may help to promote personalized treatment approaches.

Adaptation and Pilot Study of a Behavioral Intervention Targeting Morning Activation Deficits in Dementia Caregivers: Scheduling Activity and Monitoring Mornings (SAMM)

OBJECTIVES

Morning activation deficits (MADs) correlate with depression symptom persistence in older dementia caregivers. To clarify the potential of MADs as a target for depression interventions, we aimed to: 1) adapt an existing behavioral activation program, Engage therapy, to target mornings; and 2) evaluate effects on self-reported MADs and depression symptoms.

METHODS

While trialing the 9-week Engage adaption (targeting mornings) in six older dementia caregivers, we incorporated feedback and finalized an adapted program called Scheduling Activity and Monitoring Mornings (SAMM). We delivered the SAMM protocol to 13 dementia caregivers (all female; mean age = 69, standard deviation = 7). We report modifications made/rationale, as well as changes in subjective MADs (relevant items from the Composite Scale of Morningness) and depression symptoms (Patient Health Questionnaire - 9).

RESULTS

Using caregiver and expert input, we adapted the protocol to: include educational materials/content describing the potential relationship between morning inactivity and depression; target activity scheduling within 2 hours of awakening (preferably earlier); and focus only on the main components of morning activity scheduling, planning, and monitoring. This program was associated with decreases in subjective MADs averaging 29% at week 4, 52% at week 6, and 57% by week 9 (all p's <0.005). Initial depression symptoms were significantly reduced, by 62%, at week 9.

CONCLUSIONS

These preliminary findings suggest that subjective MADs can be modified pragmatically, and that doing so may have antidepressant effects. A controlled trial with measures of the putative mechanism is needed to clarify whether, and if so how, targeting MAD with SAMM causally perturbs depression's mechanisms.

Depressive symptom complexes of community-dwelling older adults: a latent network model

Late-life depression has multiple, heterogeneous clinical presentations. The aim of the study was to identify higher-order homogeneous clinical features (symptom complexes), while accounting for their potential causal interactions within the network approach to psychopathology. We analyzed cross-sectional data from community-dwelling adults aged 65-85 years recruited by the European MentDis_ICF65+ study (n = 2623, mean age 74, 49% females). The severity of 33 depressive symptoms was derived from the age-adapted Composite International Diagnostic Interview. Symptom complexes were identified using multiple detection algorithms for symptom networks, and their fit to data was assessed with latent network models (LNMs) in exploratory and confirmatory analyses. Sensitivity analyses included the Partial Correlation Likelihood Test (PCLT) to investigate the data-generating structure. Depressive symptoms were organized by the Walktrap algorithm into eight symptom complexes, namely sadness/hopelessness, anhedonia/lack of energy, anxiety/irritability, self-reproach, disturbed sleep, agitation/increased appetite, concentration/decision making, and thoughts of death. An LNM adequately fit the distribution of individual symptoms' data in the population. The model suggested the presence of reciprocal interactions between the symptom complexes of sadness and anxiety, concentration and self-reproach and between self-reproach and thoughts of death. Results of the PCLT confirmed that symptom complex data were more likely generated by a network, rather than a latent-variable structure. In conclusion, late-life depressive symptoms are organized into eight interacting symptom complexes. Identification of the symptom complexes of late-life depression may streamline clinical assessment, provide targets for personalization of treatment, and aid the search for biomarkers and for predictors of outcomes of late-life depression.

The effect of a solution-oriented therapy on the depression levels and the perceived social support of depressive patients

BACKGROUND

This study was executed to evaluate the effect of the solution-oriented therapy programme on the depression levels and the perceived social support of depressive patients METHOD: The study was designed as a randomized controlled trial with a pre-test and post-test control group and repeated measures. The Solution-Oriented Therapy Programme was implemented in a total of 6 to 10 sessions with the patients of experimental group.

RESULTS

There were no statistically significant differences between the mean BDI and PSSI scores of the experimental and control groups before the programme. At one week after the programme (29.89 ± 4.15) and after 3 months (31.71 ± 3.72), the mean of the BDI grades of the individuals in the experimental group were significantly lower than was that of the individuals in the control group. In the study group, the mean PSSI scores significantly increased at one week after programme (50.79 ± 10.81) and decreased (46.61 ± 10.37) at after 3 months.

CONCLUSION

The execution of Solution-Oriented Therapy Programme with the depressive patients should be done by the psychiatric nurses within the scope of the services that psychiatric care units serve.

Influences of dopaminergic system dysfunction on late-life depression

Deficits in cognition, reward processing, and motor function are clinical features relevant to both aging and depression. Individuals with late-life depression often show impairment across these domains, all of which are moderated by the functioning of dopaminergic circuits. As dopaminergic function declines with normal aging and increased inflammatory burden, the role of dopamine may be particularly salient for late-life depression. We review the literature examining the role of dopamine in the pathogenesis of depression, as well as how dopamine function changes with aging and is influenced by inflammation. Applying a Research Domain Criteria (RDoC) Initiative perspective, we then review work examining how dopaminergic signaling affects these domains, specifically focusing on Cognitive, Positive Valence, and Sensorimotor Systems. We propose a unified model incorporating the effects of aging and low-grade inflammation on dopaminergic functioning, with a resulting negative effect on cognition, reward processing, and motor function. Interplay between these systems may influence development of a depressive phenotype, with an initial deficit in one domain reinforcing decline in others. This model extends RDoC concepts into late-life depression while also providing opportunities for novel and personalized interventions.

Late Life Depression: The Essentials and the Essential Distinctions

Late life depression (LLD), a familiar syndrome, is not differentiated in the DSM-5. LLD can resemble depressive syndromes in younger adults but it differs in demographic characteristics, phenomenology, prognosis, treatment, suicide risk, relationship to other disorders, and etiology. Older depressed adults often present with fewer major depressive symptoms, less emphasis on mood disturbance, greater preoccupation with somatic or psychotic symptoms, and misleading cognitive deficits. LLD's relationships with medical and neurocognitive symptoms and with inflammatory and immune factors are complex. Formal screening tools and biopsychosocial assessment informs diagnosis and treatment. Evidence supports the effectiveness of lifestyle interventions, several psychotherapies, and a variety of somatic treatment approaches. Comorbid medical disorders must be taken into account when planning treatment. In this article, the authors describe the characteristics of LLD, present an approach to assessment and management, and recommend that future DSM editions include a new specifier to differentiate LLD from other depressive syndromes.

Modifiable predictors of suicidal ideation during psychotherapy for late-life major depression. A machine learning approach

This study aimed to identify subgroups of depressed older adults with distinct trajectories of suicidal ideation during brief psychotherapy and to detect modifiable predictors of membership to the trajectories of suicidal ideation. Latent growth mixed models were used to identify trajectories of the presence of suicidal ideation in participants to a randomized controlled trial comparing Problem Solving Therapy with "Engage" therapy in older adults with major depression over 9 weeks. Predictors of membership to trajectories of suicidal ideation were identified by the convergence of four machine learning models, i.e., least absolute shrinkage and selection operator logistic regression, random forest, gradient boosting machine, and classification tree. The course of suicidal ideation was best captured by two trajectories, a favorable and an unfavorable trajectory comprising 173 and 76 participants respectively. Members of the favorable trajectory had no suicidal ideation by week 8. In contrast, members of the unfavorable trajectory had a 60% probability of suicidal ideation by treatment end. Convergent findings of the four machine learning models identified hopelessness, neuroticism, and low general self-efficacy as the strongest predictors of membership to the unfavorable trajectory of suicidal ideation during psychotherapy. Assessment of suicide risk should include hopelessness, neuroticism, and general self-efficacy as they are predictors of an unfavorable course of suicidal ideation in depressed older adults receiving psychotherapy. Psychotherapeutic interventions exist for hopelessness, emotional reactivity related to neuroticism, and low self-efficacy, and if used during therapy, may improve the course of suicidal ideation.

A Pilot Randomized Trial of Engage Psychotherapy to Increase Social Connection and Reduce Suicide Risk in Later Life

BACKGROUND

Targeting social connection to prevent suicide in later life shows promise but requires additional study to identify the most effective and acceptable interventions. This study examines acceptability, feasibility, and efficacy of Engage Psychotherapy to improve subjective disconnection (target mechanisms: low belonging and perceived burden), and improve clinical and functional outcomes (depression, suicide ideation, quality of life).

METHODS

Pilot randomized trial with adults age 60 and older who reported feeling lonely and/or like a burden. Participants were randomly assigned to 10 sessions of 'Social Engage' (S-ENG; n = 32) or care-as-usual (CAU; n = 30), with follow-up assessments at 3 weeks, 6 weeks, and 10 weeks.

RESULTS

S-ENG is feasible to deliver over 10 sessions and acceptable to older adults who report social disconnection-a population at risk for suicide. Participants were willing and able to focus each session on social engagement and demonstrated high levels of compliance. Social Engage did not show preliminary evidence of impact on belonging or perceived burden but was effective in reducing depressive symptoms and improving social-emotional quality of life.

DISCUSSION

S-ENG holds promise for improving social-emotional quality of life and depressive symptoms. Future research is needed to identify and measure target mechanisms that account for clinical and functional improvement.

Behavioral Activation and Depression Symptomatology: Longitudinal Assessment of Linguistic Indicators in Text-Based Therapy Sessions

BACKGROUND

Behavioral activation (BA) is rooted in the behavioral theory of depression, which states that increased exposure to meaningful, rewarding activities is a critical factor in the treatment of depression. Assessing constructs relevant to BA currently requires the administration of standardized instruments, such as the Behavioral Activation for Depression Scale (BADS), which places a burden on patients and providers, among other potential limitations. Previous work has shown that depressed and nondepressed individuals may use language differently and that automated tools can detect these differences. The increasing use of online, chat-based mental health counseling presents an unparalleled resource for automated longitudinal linguistic analysis of patients with depression, with the potential to illuminate the role of reward exposure in recovery.

OBJECTIVE

This work investigated how linguistic indicators of planning and participation in enjoyable activities identified in online, text-based counseling sessions relate to depression symptomatology over time.

METHODS

Using distributional semantics methods applied to a large corpus of text-based online therapy sessions, we devised a set of novel BA-related categories for the Linguistic Inquiry and Word Count (LIWC) software package. We then analyzed the language used by 10,000 patients in online therapy chat logs for indicators of activation and other depression-related markers using LIWC.

RESULTS

Despite their conceptual and operational differences, both previously established LIWC markers of depression and our novel linguistic indicators of activation were strongly associated with depression scores (Patient Health Questionnaire [PHQ]-9) and longitudinal patient trajectories. Emotional tone; pronoun rates; words related to sadness, health, and biology; and BA-related LIWC categories appear to be complementary, explaining more of the variance in the PHQ score together than they do independently.

CONCLUSIONS

This study enables further work in automated diagnosis and assessment of depression, the refinement of BA psychotherapeutic strategies, and the development of predictive models for decision support.

Depression and executive functioning bidirectionally impair one another across 9 years: Evidence from within-person latent change and cross-lagged models

BACKGROUND

Scar and vulnerability models assert that increased psychopathology may predict subsequent executive functioning (EF) deficits (and vice versa) over protracted timescales, yet most prior work on this topic has been cross-sectional. Thus, we tested the within- and between-person relations between EF, depression, and anxiety.

METHODS

Older adult participants (n = 856) were assessed across four waves, approximately 2 years apart. Performance-based EF and caregiver-rated symptom measures were administered. Bivariate latent change score and random-intercept cross-lagged panel models were conducted.

RESULTS

Within persons, random-intercept cross-lagged panel models revealed that prior greater depression forecasted lower subsequent EF, and vice versa (d = -0.292 vs. -0.292). Bivariate dual latent change score models showed that within-person rise in depression predicted EF decreases, and vice versa (d = -0.245 vs. -0.245). No within-person, cross-lagged, EF-anxiety relations emerged. Further, significant negative between-person EF-symptom relations were observed (d = -0.264 to -0.395).

CONCLUSION

Prospective, within-person findings offer some evidence for developmental scar and vulnerability models.

PROTECT: a novel psychotherapy for late-life depression in elder abuse victims

Elder abuse is prevalent, and victims have high rates of depression and low quality of life. We established an academic-community partnership to test the feasibility, acceptability, and impact of a brief psychotherapy for depression (PROTECT) among elder abuse victims with capacity to make decisions. Elder abuse service providers referred depressed (Patient Health Questionnaire-9 [PHQ-9] ≥ 10) older victims (age ≥ 55 years) for potential pilot study participation. Forty eligible victims who consented were randomized to PROTECT psychotherapy (N = 25) or a Usual Care (N = 15) condition involving a community psychotherapy referral. Follow-up research assessments were conducted at 6 weeks (mid-treatment) and 9 weeks (end of treatment) after study initial assessment. We used mixed-effects regression models to examine treatment effects on depression severity and quality of life over time. Most victims (75%) reported two or more types of abuse. The a priori acceptability benchmark was met at the end of PROTECT therapy. All PROTECT participants initiated therapy; this engagement rate is greater than the a priori 75% standard set for feasibility. We found a significant reduction in depression severity (Montgomery-Åsberg Depression Rating Scale [MADRS]), with PROTECT leading to greater benefits compared to Usual Care. Both study groups had a similar improvement in quality of life. The pilot project results found that PROTECT psychotherapy is feasible, acceptable, and effective in reducing depression. With the support of our partnership, we found that PROTECT could be delivered alongside elder abuse services with victims willing to initiate therapy that leads to meaningful treatment effects.

Use of Passive Sensing in Psychotherapy Studies in Late Life: A Pilot Example, Opportunities and Challenges

Late-life depression is heterogenous and patients vary in disease course over time. Most psychotherapy studies measure activity levels and symptoms solely using self-report scales, administered periodically. These scales may not capture granular changes during treatment. We introduce the potential utility of passive sensing data collected with smartphone to assess fluctuations in daily functioning in real time during psychotherapy for late life depression in elder abuse victims. To our knowledge, this is the first investigation of passive sensing among depressed elder abuse victims. We present data from three victims who received a 9-week intervention as part of a pilot randomized controlled trial and showed a significant decrease in depressive symptoms (50% reduction). Using a smartphone, we tracked participants' daily number of smartphone unlocks, time spent at home, time spent in conversation, and step count over treatment. Independent assessment of depressive symptoms and behavioral activation were collected at intake, Weeks 6 and 9. Data revealed patient-level fluctuations in activity level over treatment, corresponding with self-reported behavioral activation. We demonstrate how passive sensing data could expand our understanding of heterogenous presentations of late-life depression among elder abuse. We illustrate how trajectories of change in activity levels as measured with passive sensing and subjective measures can be tracked concurrently over time. We outline challenges and potential solutions for application of passive sensing data collection in future studies with larger samples using novel advanced statistical modeling, such as artificial intelligence algorithms.