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Cited by 632Cardiac Health and Mental HealthAcute Myocardial Infarction ResearchCancer survivorship and care

Social Support, Depression, and Mortality During the First Year After Myocardial Infarction

Frasure-Smith, Nancy, Lespérance, François, Gravel, Ginette, Masson, Aline, Juneau, Martin, Talajic, Mario, Bourassa, Martial G.·2000·Circulation
DOI 10.1161/01.cir.101.16.1919
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Abstract

Background —We previously reported that depression after myocardial infarction (MI) increases the long-term risk of cardiac mortality. Other research suggests that social support may also influence prognosis. This article examines the interrelationships between baseline depression and social support in terms of cardiac prognosis and changes in depression symptoms over the first post-MI year. Methods and Results —For this study, 887 patients completed the Beck Depression Inventory (BDI) and the Perceived Social Support Scale (PSSS) at about 7 days after MI. Some 32% had BDIs ≥10, indicating mild to moderate depression. One-year survival status was determined for all patients. Follow-up interviews, including the BDI, were conducted with 89% of survivors. There were 39 deaths (35 cardiac). Elevated BDI scores were related to cardiac mortality ( P =0.0006), but PSSS scores and other measures of social support were not. There was a significant interaction between depression and the PSSS ( P =0.016). The relationship between depression and cardiac mortality decreased with increasing support. Furthermore, residual change score analysis revealed that among 1-year survivors who had been depressed at baseline, higher baseline social support was related to more improvement in depression symptoms than expected. Conclusions —Post-MI depression is a predictor of 1-year cardiac mortality, but social support is not directly related to survival. However, very high levels of support appear to buffer the impact of depression on mortality. Furthermore, high levels of support predict improvements in depression symptoms over the first post-MI year in depressed patients. High levels of support may protect patients from the negative prognostic consequences of depression because of improvements in depression symptoms.

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  1. Frasure-Smith N, Lespe ´rance F, Talajic M. Depression following myo- cardial infarction: impact on 6-month survival. JAMA. 1993;270: 1819 -1825.

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Authors
Frasure-Smith, N., Lespérance, F., Gravel, G., Masson, A., Juneau, M., Talajic, M., & Bourassa, M. G.
Affiliations
  • From the Departments of Psychiatry (N.F.-S., F.L.) and School of Nursing (N.F.-S), McGill University; the Research Center, Montreal Heart Institute (N.F.-S., F.L., G.G., A.M., M.J., M.T., M.G.B.); and the Departments of Psychiatry (N.F.-S., F.L.) and Medicine (M.J., M.T., M.G.B.), University of Montreal. Montreal, Canada.
  • Montreal Heart Institute (CA)
ORCID
Venue
Circulation
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2000-04-25
Volume
101
Issue
16
Pages
1919-1924
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
DOI
10.1161/01.cir.101.16.1919
OpenAlex
W1969130585
Cited by
632
References
30
Citations by year
2026: 5 · 2025: 8 · 2024: 8 · 2023: 9 · 2022: 8 · 2021: 12 · 2020: 11 · 2019: 19 · 2018: 19 · 2017: 18 · 2016: 36 · 2015: 30 · 2014: 39 · 2013: 39 · 2012: 35
FWCI
19.03
Type
journal article
Language
en
Open access
closed
Locations
  • Circulation (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Institut de Cardiologie de Montréal
  • Health Canada
  • National Heart, Lung, and Blood Institute
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Acute Myocardial Infarction Research
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
Keywords
myocardial infarction, social support, cardiac mortality, depressive symptoms, prognosis
MeSH terms
Adult, Aged, Aged, 80 and over, Depression, Female, Humans, Male, Middle Aged, Myocardial Infarction, Predictive Value of Tests, Prognosis, Psychological Tests, Social Support, Linear Models

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