Mortality after acute myocardial infarction according to income and education.

Jeppe Nørgaard Rasmussen; Søren Rasmussen; Gunnar H Gislason; Pernille Buch; Steen Z Abildstrom; Lars Køber; Merete Osler; Finn Diderichsen; Christian Torp-Pedersen; Mette Madsen

doi:10.1136/jech.200X.040972

Mortality after acute myocardial infarction according to income and education.

Jeppe Nørgaard Rasmussen, Søren Rasmussen, Gunnar H Gislason, Pernille Buch, Steen Z Abildstrom, Lars Køber, Merete Osler, Finn Diderichsen, Christian Torp-Pedersen, Mette Madsen

Department of Public Health

72 Citations (Scopus)

Abstract

OBJECTIVE: To study how income and educational level influence mortality after acute myocardial infarction (AMI). DESIGN AND SETTING: Prospective analysis using individual level linkage of registries in Denmark. PARTICIPANTS: All patients 30-74 years old hospitalised for the first time with AMI in Denmark in 1995-2002. MAIN OUTCOME MEASURES: Relative risk (RR) of 30 day mortality and long term mortality (31 days until 31 December 2003) associated with income (adjusted for education) or educational level (adjusted for income) and further adjusted for sex, age, civil status, and comorbidity. RESULTS: The study identified 21 391 patients 30-64 years old and 16 169 patients 65-74 years old. The 30 day mortality was 7.0% among patients 30-64 years old and 15.9% among those 65-74 years old. Among patients surviving the first 30 days, the long term mortality was 9.9% and 28.3%, respectively. The adjusted RR of 30 day mortality and long term mortality among younger patients with low compared with high income was 1.54 (95% confidence interval 1.36 to 1.79) and 1.65 (1.45 to 1.85), respectively. The RR of 30 day and long term mortality among younger patients with low compared with high education was 1.24 (1.03 to 1.50) and 1.33 (1.11 to 1.59), respectively. The RR of 30 day and long term mortality among older patients with low compared with high income was 1.27 (1.15 to 1.41) and 1.38 (1.27 to 1.50), respectively. Older high and low education patients did not differ in mortality. CONCLUSION: This study shows that both educational level and income substantially and independently affect mortality after AMI, indicating that each indicator has specific effects on mortality and that these indicators are not interchangeable.

Original language	English
Journal	Journal of Epidemiology & Community Health
Volume	60
Issue number	4
Pages (from-to)	351-6
Number of pages	5
ISSN	0143-005X
DOIs	https://doi.org/10.1136/jech.200X.040972
Publication status	Published - 2006

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10.1136/jech.200X.040972

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@article{cb57dee045df11ddb7b4000ea68e967b,

title = "Mortality after acute myocardial infarction according to income and education.",

abstract = "OBJECTIVE: To study how income and educational level influence mortality after acute myocardial infarction (AMI). DESIGN AND SETTING: Prospective analysis using individual level linkage of registries in Denmark. PARTICIPANTS: All patients 30-74 years old hospitalised for the first time with AMI in Denmark in 1995-2002. MAIN OUTCOME MEASURES: Relative risk (RR) of 30 day mortality and long term mortality (31 days until 31 December 2003) associated with income (adjusted for education) or educational level (adjusted for income) and further adjusted for sex, age, civil status, and comorbidity. RESULTS: The study identified 21 391 patients 30-64 years old and 16 169 patients 65-74 years old. The 30 day mortality was 7.0% among patients 30-64 years old and 15.9% among those 65-74 years old. Among patients surviving the first 30 days, the long term mortality was 9.9% and 28.3%, respectively. The adjusted RR of 30 day mortality and long term mortality among younger patients with low compared with high income was 1.54 (95% confidence interval 1.36 to 1.79) and 1.65 (1.45 to 1.85), respectively. The RR of 30 day and long term mortality among younger patients with low compared with high education was 1.24 (1.03 to 1.50) and 1.33 (1.11 to 1.59), respectively. The RR of 30 day and long term mortality among older patients with low compared with high income was 1.27 (1.15 to 1.41) and 1.38 (1.27 to 1.50), respectively. Older high and low education patients did not differ in mortality. CONCLUSION: This study shows that both educational level and income substantially and independently affect mortality after AMI, indicating that each indicator has specific effects on mortality and that these indicators are not interchangeable.",

author = "Rasmussen, {Jeppe N{\o}rgaard} and S{\o}ren Rasmussen and Gislason, {Gunnar H} and Pernille Buch and Abildstrom, {Steen Z} and Lars K{\o}ber and Merete Osler and Finn Diderichsen and Christian Torp-Pedersen and Mette Madsen",

note = "Keywords: Acute Disease; Adult; Aged; Denmark; Educational Status; Female; Hospital Mortality; Humans; Income; Male; Middle Aged; Myocardial Infarction; Proportional Hazards Models; Prospective Studies",

year = "2006",

doi = "10.1136/jech.200X.040972",

language = "English",

volume = "60",

pages = "351--6",

journal = "Journal of Epidemiology & Community Health",

issn = "0143-005X",

publisher = "B M J Group",

number = "4",

}

TY - JOUR

T1 - Mortality after acute myocardial infarction according to income and education.

AU - Rasmussen, Jeppe Nørgaard

AU - Rasmussen, Søren

AU - Gislason, Gunnar H

AU - Buch, Pernille

AU - Abildstrom, Steen Z

AU - Køber, Lars

AU - Osler, Merete

AU - Diderichsen, Finn

AU - Torp-Pedersen, Christian

AU - Madsen, Mette

N1 - Keywords: Acute Disease; Adult; Aged; Denmark; Educational Status; Female; Hospital Mortality; Humans; Income; Male; Middle Aged; Myocardial Infarction; Proportional Hazards Models; Prospective Studies

PY - 2006

Y1 - 2006

N2 - OBJECTIVE: To study how income and educational level influence mortality after acute myocardial infarction (AMI). DESIGN AND SETTING: Prospective analysis using individual level linkage of registries in Denmark. PARTICIPANTS: All patients 30-74 years old hospitalised for the first time with AMI in Denmark in 1995-2002. MAIN OUTCOME MEASURES: Relative risk (RR) of 30 day mortality and long term mortality (31 days until 31 December 2003) associated with income (adjusted for education) or educational level (adjusted for income) and further adjusted for sex, age, civil status, and comorbidity. RESULTS: The study identified 21 391 patients 30-64 years old and 16 169 patients 65-74 years old. The 30 day mortality was 7.0% among patients 30-64 years old and 15.9% among those 65-74 years old. Among patients surviving the first 30 days, the long term mortality was 9.9% and 28.3%, respectively. The adjusted RR of 30 day mortality and long term mortality among younger patients with low compared with high income was 1.54 (95% confidence interval 1.36 to 1.79) and 1.65 (1.45 to 1.85), respectively. The RR of 30 day and long term mortality among younger patients with low compared with high education was 1.24 (1.03 to 1.50) and 1.33 (1.11 to 1.59), respectively. The RR of 30 day and long term mortality among older patients with low compared with high income was 1.27 (1.15 to 1.41) and 1.38 (1.27 to 1.50), respectively. Older high and low education patients did not differ in mortality. CONCLUSION: This study shows that both educational level and income substantially and independently affect mortality after AMI, indicating that each indicator has specific effects on mortality and that these indicators are not interchangeable.

AB - OBJECTIVE: To study how income and educational level influence mortality after acute myocardial infarction (AMI). DESIGN AND SETTING: Prospective analysis using individual level linkage of registries in Denmark. PARTICIPANTS: All patients 30-74 years old hospitalised for the first time with AMI in Denmark in 1995-2002. MAIN OUTCOME MEASURES: Relative risk (RR) of 30 day mortality and long term mortality (31 days until 31 December 2003) associated with income (adjusted for education) or educational level (adjusted for income) and further adjusted for sex, age, civil status, and comorbidity. RESULTS: The study identified 21 391 patients 30-64 years old and 16 169 patients 65-74 years old. The 30 day mortality was 7.0% among patients 30-64 years old and 15.9% among those 65-74 years old. Among patients surviving the first 30 days, the long term mortality was 9.9% and 28.3%, respectively. The adjusted RR of 30 day mortality and long term mortality among younger patients with low compared with high income was 1.54 (95% confidence interval 1.36 to 1.79) and 1.65 (1.45 to 1.85), respectively. The RR of 30 day and long term mortality among younger patients with low compared with high education was 1.24 (1.03 to 1.50) and 1.33 (1.11 to 1.59), respectively. The RR of 30 day and long term mortality among older patients with low compared with high income was 1.27 (1.15 to 1.41) and 1.38 (1.27 to 1.50), respectively. Older high and low education patients did not differ in mortality. CONCLUSION: This study shows that both educational level and income substantially and independently affect mortality after AMI, indicating that each indicator has specific effects on mortality and that these indicators are not interchangeable.

U2 - 10.1136/jech.200X.040972

DO - 10.1136/jech.200X.040972

M3 - Journal article

C2 - 16537354

SN - 0143-005X

VL - 60

SP - 351

EP - 356

JO - Journal of Epidemiology & Community Health

JF - Journal of Epidemiology & Community Health

IS - 4

ER -

Mortality after acute myocardial infarction according to income and education.

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