Sex differences in cardiovascular disease in relation to socioeconomic position in the NAKO study

Abstract Background Low socioeconomic position (SEP) is associated with cardiovascular disease (CVD) risk; yet, the underlying pathways are not fully clear and may affect sexes differently. We investigated sex differences in the relationship of SEP with prevalent CVD, cardiovascular risk factors (CRF) and estimated cardiovascular risk in a contemporaneous German population. Methods Data derived from the baseline examination of 204,780 participants in population-based German National Cohort (NAKO). Logistic, multinomial, and linear regression models were used to estimate sex-specific odds ratios (OR) and beta-coefficients with 95% confidence intervals (CI) of CVD, CRF and very high-risk score (SCORE2 ≥7.5% (age 40-49 years) or ≥ 10% (age 50-69 years)) associated with educational attainment and relative income. Women-to-men ratios of ORs (RORs) with 95%-CI were estimated. Results In women compared to men, low vs. high SEP was more strongly associated with obesity, overweight, self-reported myocardial infarction and hypertension, elevated blood pressure values, antihypertensive medication, and alcohol consumption, but less strongly related to smoking. In women with the lowest vs. highest educational level, the OR for a very high 10-year CVD risk was 3.61 (95%-CI 2.88; 4.53), compared to 1.72 (95%-CI 1.51; 1.96) in men. The women-to-men-ROR was 2.33 (95%-CI 1.78; 3.05), attenuated after age-adjustments. For the comparison of low vs. high relative income, the odds of having a very high 10-year CVD risk was 2.55 (95%-CI 2.04; 3.18) in women, and 2.25 (95%-CI 2.08; 2.42) in men (women-to-men ROR, 1.31 (95%-CI 1.05; 1.63). Conclusions In both sexes, there was an inverse graded relationship between SEP and the likelihood of prevalent CVD and CRF, with stronger associations in women than in men. Although women had a lower estimated 10-year CVD risk compared to men, the likelihood of having a very high CVD risk conferred by low SEP vs. a high one was higher in women than in men.

Authors

Institutions

Publication Details

Journal
European Journal of Public Health
Published
2024-10-28
DOI
https://doi.org/10.1093/eurpub/ckae144.496
Primary Topic
Health and Lifestyle Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sex differences in cardiovascular disease in relation to socioeconomic position in the NAKO study

Karin Halina Greiser, Ilais Moreno Velásquez, Marcus Dörr, Tobias Pischon et al.
European Journal of Public Health
Health and Lifestyle Studies
article

Sex differences in cardiovascular disease in relation to socioeconomic position in the NAKO study

Karin Halina Greiser, Ilais Moreno Velásquez, Marcus Dörr, Tobias Pischon, Klaus Berger, Nico Dragano, SAE Peters, Beate Fischer, Anke Hannemann, Annette Peters
article en

Abstract

Abstract Background Low socioeconomic position (SEP) is associated with cardiovascular disease (CVD) risk; yet, the underlying pathways are not fully clear and may affect sexes differently. We investigated sex differences in the relationship of SEP with prevalent CVD, cardiovascular risk factors (CRF) and estimated cardiovascular risk in a contemporaneous German population. Methods Data derived from the baseline examination of 204,780 participants in population-based German National Cohort (NAKO). Logistic, multinomial, and linear regression models were used to estimate sex-specific odds ratios (OR) and beta-coefficients with 95% confidence intervals (CI) of CVD, CRF and very high-risk score (SCORE2 ≥7.5% (age 40-49 years) or ≥ 10% (age 50-69 years)) associated with educational attainment and relative income. Women-to-men ratios of ORs (RORs) with 95%-CI were estimated. Results In women compared to men, low vs. high SEP was more strongly associated with obesity, overweight, self-reported myocardial infarction and hypertension, elevated blood pressure values, antihypertensive medication, and alcohol consumption, but less strongly related to smoking. In women with the lowest vs. highest educational level, the OR for a very high 10-year CVD risk was 3.61 (95%-CI 2.88; 4.53), compared to 1.72 (95%-CI 1.51; 1.96) in men. The women-to-men-ROR was 2.33 (95%-CI 1.78; 3.05), attenuated after age-adjustments. For the comparison of low vs. high relative income, the odds of having a very high 10-year CVD risk was 2.55 (95%-CI 2.04; 3.18) in women, and 2.25 (95%-CI 2.08; 2.42) in men (women-to-men ROR, 1.31 (95%-CI 1.05; 1.63). Conclusions In both sexes, there was an inverse graded relationship between SEP and the likelihood of prevalent CVD and CRF, with stronger associations in women than in men. Although women had a lower estimated 10-year CVD risk compared to men, the likelihood of having a very high CVD risk conferred by low SEP vs. a high one was higher in women than in men.

European Journal of Public HealthVol. 34(Supplement_3)
German Cancer Research Center (DE), The George Institute for Global Health (GB), Max Delbrück Center (DE), Heidelberg University (DE), University of Münster (DE), Universitätsmedizin Greifswald (DE), Helmholtz Zentrum München (DE), University Medical Center Utrecht (NL), Universität Greifswald (DE), Düsseldorf University Hospital (DE), German Centre for Cardiovascular Research (DE), Heinrich Heine University Düsseldorf (DE), Imperial College London (GB), University of Regensburg (DE), Charité - Universitätsmedizin Berlin (DE), Ludwig-Maximilians-Universität München (DE)
Good health and well-being, No poverty
Openalex Percentile: Top 67%
Health and Lifestyle Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.