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Social Support, Depression, and Mortality During the First Year After Myocardial Infarction
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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“Perceived social support seems to counteract the adverse effect of depression, 103 whereas lack of support was found to reinforce its adverse effects.104”
From European Guidelines on cardiovascular disease prevention in clinical practice (version 2012) (2012) · cites this paper as [103]
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Metadata
- 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)
- Venue
- Circulation
- Published
- 2000-04-25
- Volume
- 101
- Issue
- 16
- Pages
- 1919-1924
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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