Evidence map›Paper›PMID 35432039›Full record

ArticleFrontiers in psychiatry2022

Unraveling the Complexity of Cardiac Distress: A Study of Prevalence and Severity.

Alun C Jackson, Michelle C Rogerson, John Amerena, Julian Smith, Valerie Hoover, Marlies E Alvarenga, Rosemary O Higgins, Michael R Le Grande, Chantal F Ski, David R Thompson and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

11 authors at 7 institutions in 4 countries.

Alun C JacksonAustralian Centre for Heart Health, Melbourne, VIC, Australia.
Michelle C RogersonAustralian Centre for Heart Health, Melbourne, VIC, Australia.
John AmerenaBarwon Health, Geelong, VIC, Australia.
Julian SmithDepartment of Cardiothoracic Surgery, Monash Health, Melbourne, VIC, Australia.
Valerie HooverPsychiatry and Behavioral Sciences, Stanford Women's Heart Health Clinic, Stanford, CA, United States.
Marlies E AlvarengaAustralian Centre for Heart Health, Melbourne, VIC, Australia.
Rosemary O HigginsAustralian Centre for Heart Health, Melbourne, VIC, Australia.
Michael R Le GrandeAustralian Centre for Heart Health, Melbourne, VIC, Australia.
Chantal F SkiAustralian Centre for Heart Health, Melbourne, VIC, Australia.
David R ThompsonAustralian Centre for Heart Health, Melbourne, VIC, Australia.
Barbara M MurphyAustralian Centre for Heart Health, Melbourne, VIC, Australia.
Australian Centre for Heart Health · AUMonash Health · AUUniversity of Melbourne · AUGeelong Hospital · AUQueen's University Belfast · GBStanford Health Care · USUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: While much research attention has been paid to anxiety and depression in people who have had a recent cardiac event, relatively little has focused on the broader concept of cardiac distress. Cardiac distress is a multidimensional construct that incorporates but extends beyond common mood disorders such as anxiety and depression. In the present study we assessed the prevalence, severity and predictors of a broad range of physical, affective, cognitive, behavioral and social symptoms of cardiac distress. This is the first study to investigate cardiac distress in this comprehensive way. Method: A sample of 194 patients was recruited from two hospitals in Australia. Eligible participants were those who had recently been hospitalized for an acute cardiac event. Data were collected at patients' outpatient clinic appointment ~8 weeks after their hospital discharge. Using a questionnaire developed through a protocol-driven 3-step process, participants reported on whether they had experienced each of 74 issues and concerns in the past 4 weeks, and the associated level of distress. They also provided sociodemographic and medical information. Regression analyses were used to identify risk factors for elevated distress. Results: Across the 74 issues and concerns, prevalence ratings ranged from a high of 66% to a low of 6%. The most commonly endorsed items were within the domains of dealing with symptoms, fear of the future, negative affect, and social isolation. Common experiences were "being physically restricted" (66%), "lacking energy" (60%), "being short of breath" (60%), "thinking I will never be the same again" (57%), and "not sleeping well" (51%). While less prevalent, "not having access to the health care I need," "being concerned about my capacity for sexual activity," and "being unsupported by family and friends" were reported as highly distressing (74, 64, and 62%) for those experiencing these issues. Having a mental health history and current financial strain were key risk factors for elevated distress. Conclusion and Implications: Specific experiences of distress appear to be highly prevalent in people who have had a recent cardiac event. Understanding these specific fears, worries and stressors has important implications for the identification and management of post-event mental health and, in turn, for supporting patients in their post-event cardiac recovery.

Indexed as

anxietycardiac distressdepressionfear of progressionpsychocardiologysecondary preventionstress

Identifiers

PMID35432039
PMCPMC9009040
OpenAlexW4220863350

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.