Abstract
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Journal of Epidemiology & Community Health |
| Vol/bind | 60 |
| Udgave nummer | 4 |
| Sider (fra-til) | 351-6 |
| Antal sider | 5 |
| ISSN | 0143-005X |
| DOI | |
| Status | Udgivet - 2006 |
Bibliografisk note
Keywords: Acute Disease; Adult; Aged; Denmark; Educational Status; Female; Hospital Mortality; Humans; Income; Male; Middle Aged; Myocardial Infarction; Proportional Hazards Models; Prospective StudiesAdgang til dokumentet
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Mortality after acute myocardial infarction according to income and education. / Rasmussen, Jeppe Nørgaard; Rasmussen, Søren; Gislason, Gunnar H; Buch, Pernille; Abildstrom, Steen Z; Køber, Lars; Osler, Merete; Diderichsen, Finn; Torp-Pedersen, Christian; Madsen, Mette.
I: Journal of Epidemiology & Community Health, Bind 60, Nr. 4, 2006, s. 351-6.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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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
VL - 60
SP - 351
EP - 356
JO - Journal of Epidemiology & Community Health
JF - Journal of Epidemiology & Community Health
SN - 0143-005X
IS - 4
ER -