Evidence map›Paper›PMID 30765686›Full record

ReviewTranslational psychiatry2019

Psychobiological factors of resilience and depression in late life.

Kelsey T Laird, Beatrix Krause, Cynthia Funes, Helen Lavretsky

Abstract readReview
In one paragraph

Review in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. The role of brain health and resilience in reshaping trajectories of late-life neuropsychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Reimagining Resilience in Aging: Leveraging AI/ML, Big Data Analytics, and Systems Innovation.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2025
    Article
  19. Article
  20. Article

32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kelsey T LairdDepartment of Psychiatry, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA.
Beatrix KrauseDepartment of Psychiatry, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA.
Cynthia FunesDepartment of Psychiatry, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA.
Helen LavretskyDepartment of Psychiatry, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA. HLavretsky@mednet.ucla.edu.

Funding

Brain connectivity and response to Tai Chi in geriatric depressionR01AT008383 · NCCIH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LAVRETSKY, HELEN · 2015 to 2019
$4.1M
Brain aging and treatment response in geriatric depressionR01MH097892 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LAVRETSKY, HELEN · 2013 to 2017
$3.5M
4/5 Neurocognitive and neuroimaging biomarkers: predicting progression towards dementia in late-life depressionR01MH114981 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LAVRETSKY, HELEN, NARR, KATHERINE L · 2017 to 2021
$1.8M
Mentoring and Research in Translational Science of Integrative MedicineK24AT009198 · NCCIH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Helen Lavretsky · 2016 to 2026
$1.4M
NCCIH NIH HHS K24 AT009198NCCIH NIH HHS R01 AT008383NIMH NIH HHS R01 MH097892NIMH NIH HHS R01 MH114981
6 · The paper itself

Abstract

In contrast to traditional perspectives of resilience as a stable, trait-like characteristic, resilience is now recognized as a multidimentional, dynamic capacity influenced by life-long interactions between internal and environmental resources. We review psychosocial and neurobiological factors associated with resilience to late-life depression (LLD). Recent research has identified both psychosocial characteristics associated with elevated LLD risk (e.g., insecure attachment, neuroticism) and psychosocial processes that may be useful intervention targets (e.g., self-efficacy, sense of purpose, coping behaviors, social support). Psychobiological factors include a variety of endocrine, genetic, inflammatory, metabolic, neural, and cardiovascular processes that bidirectionally interact to affect risk for LLD onset and course of illness. Several resilience-enhancing intervention modalities show promise for the prevention and treatment of LLD, including cognitive/psychological or mind-body (positive psychology; psychotherapy; heart rate variability biofeedback; meditation), movement-based (aerobic exercise; yoga; tai chi), and biological approaches (pharmacotherapy, electroconvulsive therapy). Additional research is needed to further elucidate psychosocial and biological factors that affect risk and course of LLD. In addition, research to identify psychobiological factors predicting differential treatment response to various interventions will be essential to the development of more individualized and effective approaches to the prevention and treatment of LLD.

Indexed as

Resilience, PsychologicalAgingDepressionElectroconvulsive TherapyHumansMind-Body TherapiesNeuroticismPsychotherapy

Identifiers

PMID30765686
PMCPMC6375932

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.