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Automatic Self Transcending Meditation (ASTM) Versus Heart Rate Variability (HRV) Biofeedback in Patients With Late Life Depression (LLD): a Longitudinal Pilot Feasibility Study

L

Lawson Health Research Institute

Status

Completed

Conditions

Late Life Depression

Treatments

Behavioral: HRV biofeedback
Behavioral: ASTM

Study type

Interventional

Funder types

Other

Identifiers

NCT01908673
HSREB 103966

Details and patient eligibility

About

Background: Depression in the elderly, also known as late life depression (LLD) is common and its prevalence ranges from 2 to 6% in the community. Heart Rate Variability (HRV), a physiological autonomic variable is reduced in LLD and this might have implications for cardiovascular events including death. Methods to improve HRV in LLD have not been adequately assessed. Automatic Self-Transcending Meditation (ASTM) is a simple yet powerful technique that allows the mind to become calm and peaceful. HRV biofeedback is a method of teaching individuals to voluntarily improve HRV and other physiological functions to a prescribed range.This pilot study attempts to investigate feasibility of these interventions and provide preliminary data regarding the effectiveness of these techniques.

Hypothesis: ASTM and HRV biofeedback are feasible and their effectiveness for improving HRV in patients with LLD can be assessed.

Methods: Participants with LLD between the ages of 66 and 80 will be randomized to either ASTM or HRV biofeedback after optimizing them on antidepressant therapy. Participants will receive training and continue practice in either of these techniques over a period of twelve weeks. HRV and secondary measures will be assessed pre and post at the end of study period.

Expected Results and Significance: The investigators expect to find both techniques to be feasible treatments for those with LLD. Results from this pilot study will help to assess the potential for successful implementation of a future larger study which will evaluate the efficacy of these treatments for improving HRV.

Enrollment

8 patients

Sex

All

Ages

66 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Of either gender, age 66-80 years.
  2. Have an Axis 1 diagnosis of major depressive disorder (DSM IV code 296.2x or 296.3x) (comorbid anxiety and dysthymic disorder will be acceptable).
  3. HAMD-24 score of >20.
  4. Low risk of suicide as elicited by clinical interview.
  5. Being able to sit for 30-45 minutes, without physical pain
  6. Of general good physical health with no severe cardiovascular disease in the past 12 months (myocardial infarction, stroke or TIA).
  7. No past history of neurological disease or seizures.
  8. Sufficient hearing to comprehend verbal instructions without the need to lip read.
  9. Able to attend regular outpatient follow-up appointments.

Exclusion criteria

  1. Incapable of giving informed consent to study participation.
  2. Participating in other similar studies.
  3. Other significant Axis I diagnosis (including PTSD, OCD, Panic Disorder, Bipolar Affective Disorder, Substance dependence, Dementia)
  4. Psychotic episodes within the past 12 months.
  5. Recent (within the past 6 months) head trauma that required emergency care
  6. Currently on an antidepressant from the classes of Tricyclic antidepressants, Monoamine oxidase (MAO) inhibitors, or Serotonin Noradrenaline Reuptake inhibitors (SNRI) such as venlafaxine, desvenlafaxine or duloxetine.
  7. Currently practicing any type of formal meditation, mindfulness or breathing techniques.
  8. Mini Mental Score Exam (MMSE) ≤18

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

8 participants in 2 patient groups

HRV biofeedback
Active Comparator group
Description:
heart rate variability biofeedback
Treatment:
Behavioral: HRV biofeedback
ASTM
Active Comparator group
Description:
Automatic Self Transcedental Meditation
Treatment:
Behavioral: ASTM

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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