Exploring the Relationship between Women's Prodromal and Acute Symptoms of Myocardial Infarction

2.50
Hdl Handle:
http://hdl.handle.net/10755/156630
Type:
Presentation
Title:
Exploring the Relationship between Women's Prodromal and Acute Symptoms of Myocardial Infarction
Abstract:
Exploring the Relationship between Women's Prodromal and Acute Symptoms of Myocardial Infarction
Conference Sponsor:Sigma Theta Tau International
Conference Year:2003
Conference Date:July 10-12, 2003
Author:McSweeney, Jean, PhD
P.I. Institution Name:University of Arkansas for Medical Sciences
Title:Associate Professor
Co-Authors:Marisue Cody, Patricia O'Sullivan
Objective: This study identified women’s prodromal and acute symptoms of myocardial infarction (MI) and the influence of comorbidities/risk factors on these symptoms. <P> Design: In this descriptive study we interviewed women diagnosed with MI in the past 4-6 months. <P> Sample: A convenience sample of 515 women was recruited from five sites. Most were white, married, high school graduates, and had annual incomes of less than $30,000. Their average age was 66 (SD=12). <P> Variables: Variables were presence of nine comorbidities/risk factors and prodromal and acute symptom scores obtained from weighting symptoms by intensity and frequency.<P> Methods: Site recruiters identified women using discharge ICD-9 codes and gained permission to release their names to the researchers. Then a team member telephoned women and conducted the 50-minute survey. Data were entered directly into an Access database and analyzed using SPSS.<P> Findings: Most women experienced symptoms. The number of prodromes ranged from 0 to 25 (M=5.77; SD=4.37) while acute symptoms ranged from 0 to 29 (M= 7.3; SD=4.8). The average prodromal score was 58.5 (SD=52.7). The average acute symptom score was 16.5 (SD=12.1). These scores were strongly correlated 0.61 (p&lt;. 001). T-tests were used to determine if either the acute or prodromal scores were associated with selected risk factors, i.e. diabetes. When women had most risk factors, they had significantly higher prodromal and acute symptom scores. A regression model was used to analyze whether prodromal symptoms predicted the acute symptom score, controlling for selected demographic factors. The covariates accounted for 9.4% of the variability in the acute symptom score while the prodromal score accounted for an additional 30.8% of the variance. <P> Conclusion: Prodromal symptoms are a significant (p&lt;. 001), independent predictor of acute symptoms.<P> Implications: Identification of prodromal symptoms could lead to earlier recognition of acute symptoms, potentially decreasing morbidity and mortality in women after MI.<P> <!--Abstract 13339 modified by 144.30.27.31 on 11-1-2002--></P></P></P></P></P></P></P></P>
Repository Posting Date:
26-Oct-2011
Date of Publication:
10-Jul-2003
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleExploring the Relationship between Women's Prodromal and Acute Symptoms of Myocardial Infarctionen_GB
dc.identifier.urihttp://hdl.handle.net/10755/156630-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Exploring the Relationship between Women's Prodromal and Acute Symptoms of Myocardial Infarction</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2003</td></tr><tr class="item-conference-date"><td class="label">Conference Date:</td><td class="value">July 10-12, 2003</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">McSweeney, Jean, PhD</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Arkansas for Medical Sciences</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Associate Professor</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">mcsweeneyjeanc@uams.edu</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Marisue Cody, Patricia O'Sullivan</td></tr><tr><td colspan="2" class="item-abstract">Objective: This study identified women&rsquo;s prodromal and acute symptoms of myocardial infarction (MI) and the influence of comorbidities/risk factors on these symptoms. &lt;P&gt; Design: In this descriptive study we interviewed women diagnosed with MI in the past 4-6 months. &lt;P&gt; Sample: A convenience sample of 515 women was recruited from five sites. Most were white, married, high school graduates, and had annual incomes of less than $30,000. Their average age was 66 (SD=12). &lt;P&gt; Variables: Variables were presence of nine comorbidities/risk factors and prodromal and acute symptom scores obtained from weighting symptoms by intensity and frequency.&lt;P&gt; Methods: Site recruiters identified women using discharge ICD-9 codes and gained permission to release their names to the researchers. Then a team member telephoned women and conducted the 50-minute survey. Data were entered directly into an Access database and analyzed using SPSS.&lt;P&gt; Findings: Most women experienced symptoms. The number of prodromes ranged from 0 to 25 (M=5.77; SD=4.37) while acute symptoms ranged from 0 to 29 (M= 7.3; SD=4.8). The average prodromal score was 58.5 (SD=52.7). The average acute symptom score was 16.5 (SD=12.1). These scores were strongly correlated 0.61 (p&amp;lt;. 001). T-tests were used to determine if either the acute or prodromal scores were associated with selected risk factors, i.e. diabetes. When women had most risk factors, they had significantly higher prodromal and acute symptom scores. A regression model was used to analyze whether prodromal symptoms predicted the acute symptom score, controlling for selected demographic factors. The covariates accounted for 9.4% of the variability in the acute symptom score while the prodromal score accounted for an additional 30.8% of the variance. &lt;P&gt; Conclusion: Prodromal symptoms are a significant (p&amp;lt;. 001), independent predictor of acute symptoms.&lt;P&gt; Implications: Identification of prodromal symptoms could lead to earlier recognition of acute symptoms, potentially decreasing morbidity and mortality in women after MI.&lt;P&gt; &lt;!--Abstract 13339 modified by 144.30.27.31 on 11-1-2002--&gt;&lt;/P&gt;&lt;/P&gt;&lt;/P&gt;&lt;/P&gt;&lt;/P&gt;&lt;/P&gt;&lt;/P&gt;&lt;/P&gt;</td></tr></table>en_GB
dc.date.available2011-10-26T14:58:15Z-
dc.date.issued2003-07-10en_GB
dc.date.accessioned2011-10-26T14:58:15Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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