Evidence map›Paper›PMID 26681648›Full record

ArticleInternational journal of psychophysiology : official journal of the International Organization of Psychophysiology2016

Respiratory sinus arrhythmia reactivity to a sad film predicts depression symptom improvement and symptomatic trajectory.

Vanessa Panaite, Alexandra Cowden Hindash, Lauren M Bylsma, Brent J Small, Kristen Salomon, Jonathan Rottenberg

Abstract read
In one paragraph

Article in International journal of psychophysiology : official journal of the International Organization of Psychophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Individual-Specific Animated Profiles of Mental Health.Perspectives on psychological science : a journal of the Association for Psychological Science · 2025
    Article
  6. Review
  7. Article
  8. Autonomic complexity dynamically indexes affect regulation in everyday life.Journal of psychopathology and clinical science · 2023
    Article
  9. [Quantitative analysis of breathing patterns based on wearable systems].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Associations of depression severity with heart rate and heart rate variability in young adults across normative and clinical populations.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. Physiological Markers of Interpersonal Stress Generation in Depression.Clinical psychological science : a journal of the Association for Psychological Science · 2017
    Article
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

6 authors.

Vanessa PanaiteDepartment of Psychology, University of South Florida, Tampa, FL, USA.
Alexandra Cowden HindashDepartment of Psychology, University of South Florida, Tampa, FL, USA.
Lauren M BylsmaPsychiatry Department, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Brent J SmallSchool of Aging Studies, University of South Florida, Tampa, FL, USA.
Kristen SalomonDepartment of Psychology, University of South Florida, Tampa, FL, USA.
Jonathan RottenbergDepartment of Psychology, University of South Florida, Tampa, FL, USA. Electronic address: rottenberg@usf.edu.

Funding

Neurobehavioral Predictors of Emotional Deficits in Youth at Risk for DepressionK01MH104325 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BYLSMA, LAUREN M · 2014 to 2017
$629k
Vagal fluctuation as a predictor of current and future depressionR21MH077669 · NIMH · UNIVERSITY OF SOUTH FLORIDA · PI ROTTENBERG, JONATHAN ADAM · 2008 to 2009
$363k
NIMH NIH HHS K01 MH104325NIMH NIH HHS L30 MH101750NIMH NIH HHS MH077669-02NIMH NIH HHS R21 MH077669
6 · The paper itself

Abstract

Respiratory sinus arrhythmia (RSA) reactivity, an index of cardiac vagal tone, has been linked to self-regulation and the severity and course of depression (Rottenberg, 2007). Although initial data supports the proposition that RSA withdrawal during a sad film is a specific predictor of depression course (Fraguas, 2007; Rottenberg, 2005), the robustness and specificity of this finding are unclear. To provide a stronger test, RSA reactivity to three emotion films (happy, sad, fear) and to a more robust stressor, a speech task, were examined in currently depressed individuals (n=37), who were assessed for their degree of symptomatic improvement over 30weeks. Robust RSA reactivity to the sad film uniquely predicted overall symptom improvement over 30weeks. RSA reactivity to both sad and stressful stimuli predicted the speed and maintenance of symptomatic improvement. The current analyses provide the most robust support to date that RSA withdrawal to sad stimuli (but not stressful) has specificity in predicting the overall symptomatic improvement. In contrast, RSA reactivity to negative stimuli (both sad and stressful) predicted the trajectory of depression course. Patients' engagement with sad stimuli may be an important sign to attend to in therapeutic settings.

Indexed as

AdultEmotionsFemaleFollow-Up StudiesHumansMajor Depressive DisorderMaleMotion PicturesPhotic StimulationPredictive Value of TestsRespiratory Sinus ArrhythmiaTime FactorsYoung AdultDepression trajectoryMajor depressive disorderRSA reactivitySadness specificity

Identifiers

PMID26681648
PMCPMC4715978

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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.