Cited by 26Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPsychotherapy Techniques and ApplicationsTreatment of Major Depression

“Engage” therapy: Prediction of change of late-life major depression

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Alexopoulos, George S., O’Neil, Robert, Banerjee, Samprit, Raue, Patrick J., Victoria, Lindsay W., Bress, Jennifer N., Pollari, Cristina, Arean, Patricia A.·2017·Journal of Affective Disorders

Abstract

Objective Engage grew out of the need for streamlined psychotherapies that can be accurately used by community therapists in late-life depression. Engage was based on the view that dysfunction of reward networks is the principal mechanism mediating depressive symptoms. Accordingly, Engage uses "reward exposure" (exposure to meaningful activities) and assumes that repeated activation of reward networks will normalize these systems. This study examined whether change in a behavioral activation scale, an index of reward system function, predicts change in depressive symptomatology.Methods The participants (N = 48) were older adults with major depression treated with 9 weekly sessions of Engage and assessed 27 weeks after treatment. Depression was assessed with the 24-item Hamilton Depression Rating Scale (HAM-D) and behavioral activation with the four subscales of Behavioral Activation for Depression Scale (activation, avoidance/rumination, work impairment, social impairment) at baseline, 6 weeks (mid-treatment), 9 weeks (end of treatment), and 36 weeks.Results Change only in the Activation subscale during successive periods of assessment predicted depression severity (HAM-D) at the end of each period (F 1, 47 = 21.05, p<0.0001). An increase of one standard deviation in the Activation score resulted in a 2.04 (95% CI: 1.17-2.92) point decrease in HAM-D. For every one point increase in the Activation score, HAM-D was decreased by 0.22 points (95% CI: 0.12-0.31).Limitations No comparison group. Partial overlap of Activation Subscale with HAM-D, lack of detailed neurocognitive assessment and social support.Conclusion Change in behavioral activation predicts improvement of depressive symptoms and signs in depressed older adults treated with Engage.

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  • Initial studies suggest that ENGAGE engages its behavioral targets.

    “Initial studies suggest that ENGAGE can be taught to community based therapists, is non-inferior to problem solving therapy171, and engages its behavioral targets172,173.”

    From Mechanisms and treatment of late-life depression (2019) · cites this paper as [173]

  • Psychomotor activation appears to be an important protective factor, predicting subsequent persistence of treatment benefits in late-life depression.

    “Despite these patients’ lower treatment response, psychomotor activation appears to be an important protective factor, predicting subsequent persistence of treatment benefits (22).”

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Research works printed but not linked: 4

  1. England MJ Butler AS 2015 Psychosocial Interventions for Mental and Substance Use Disorders Washington, DC National Academies Press 26203478
  2. Epping-Jordan JA Ustun TB 2000 The WHODAS-II: leveling the playing field for all disorders WHO Mental Health Bulletin 6 5 6
  3. First MB Spitzer RL Williams JBW Gibbon M 1995 Structured clinical interview for DSM-IV - patient version (SCID-P) Washington American Psychiatric Press
  4. NIMH 2011 Positive Valence Systems: Workshop Proceedings Retrieved from http://www.nimh.nih.gov/research-priorities/rdoc/positive-valence-systems-workshop-proceedings.shtml

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Authors
Alexopoulos, G. S., O’Neil, R., Banerjee, S., Raue, P. J., Victoria, L. W., Bress, J. N., Pollari, C., & Arean, P. A.
Affiliations
  • Cornell University (US)
  • Weill Cornell Medicine (US)
  • University of Washington (US)
Corresponding author
Alexopoulos, George S.
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2017-10
Volume
221
Pages
192-197
ISSN
0165-0327 (ISSN-L)
OpenAlex
W2720071953
Cited by
25
References
38
Citations by year
2026: 1 · 2025: 1 · 2024: 4 · 2023: 1 · 2022: 3 · 2021: 4 · 2020: 4 · 2019: 5 · 2018: 2
FWCI
3.92
Type
journal article
Language
en
Open access
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Mental Health (P30MH085943, R01MH064099, R01MH075900, K24MH074717, R01MH102252, T32MH019132)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
Keywords
geriatric depression, major depressive disorder, behavioral activation, reward system dysfunction, older adults, psychotherapy outcome prediction
MeSH terms
Aged, Behavior Therapy, Depressive Disorder, Major, Major Depressive Disorder, Female, Follow-Up Studies, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Reward, Treatment Outcome

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