Academic Journal

Sex differences in the relationship of socioeconomic position with cardiovascular disease, cardiovascular risk factors and estimated cardiovascular disease risk: results of the German National Cohort

Bibliographic Details
Title: Sex differences in the relationship of socioeconomic position with cardiovascular disease, cardiovascular risk factors and estimated cardiovascular disease risk: results of the German National Cohort
Authors: Moreno Velásquez, I., Peters, S.A.E., Dragano, N., Greiser, K.H., Dörr, M., Fischer, B., Berger, K., Hannemann, A., Schnabel, R.B., Nauck, M., Göttlicher, S., Rospleszcz, S., Willich, S.N., Krist, L., Schulze, M.B., Günther, K., Brand, T., Schikowski, T., Emmel, C., Schmidt, B., Michels, K.B., Mikolajczyk, R., Kluttig, A., Harth, V., Obi, N., Castell, S., Klett-Tammen, C.J., Lieb, W., Becher, H., Winkler, V., Minnerup, H., Karch, A., Meinke-Franze, C., Leitzmann, M., Stein, M.J., Bohn, B., Schöttker, B., Trares, K., Peters, A., Pischon, T.
Publisher Information: Wiley / American Heart Association
Publication Year: 2025
Collection: Max-Delbrueck-Center for Molecular Medicine, Berlin: MDC Repository
Subject Terms: Cardiovascular and Metabolic Diseases, Technology Platforms, Topic 3: Integrative Biomedicine
Description: BACKGROUND: Using data from the largest German cohort study, we aimed to investigate sex differences in the relationship of socioeconomic position (SEP) with cardiovascular disease (CVD), CVD risk factors, and estimated CVD risk. METHODS AND RESULTS: A total of 204 780 (50.5% women) participants from the baseline examination of the population‐based NAKO (German National Cohort) were included. Logistic, multinomial, and linear regression models were used to estimate sex‐specific odds ratios (ORs) and β coefficients with 95% CIs of CVD, CVD risk factors, and very high‐risk score (Systemic Coronary Risk Estimation‐2) for CVD associated with SEP. Women-to-men ratios of ORs (RORs) with 95% CIs were estimated. In women compared with men, low versus high SEP (educational attainment and relative income) was more strongly associated with myocardial infarction, hypertension, obesity, overweight, elevated blood pressure, antihypertensive medication, and current alcohol consumption, but less strongly with current and former smoking. In women with the lowest versus highest educational level, the OR for a very high 10‐year CVD risk was 3.61 (95% CI, 2.88–4.53) compared with 1.72 (95% CI, 1.51–1.96) in men. The women‐to‐men ROR was 2.33 (95% CI, 1.78–3.05). For the comparison of low versus 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 women and men, there was an inverse relationship between indicators of SEP and the likelihood of having several CVD risk factors and a very high 10‐year CVD risk. This association was stronger in women, suggesting that CVD risk is more strongly influenced by SEP in women compared with men.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://edoc.mdc-berlin.de/id/eprint/25113/1/25113oa.pdf; https://edoc.mdc-berlin.de/id/eprint/25113/2/25113suppl.pdf; Sex differences in the relationship of socioeconomic position with cardiovascular disease, cardiovascular risk factors and estimated cardiovascular disease risk: results of the German National Cohort. Moreno Velásquez, I., Peters, S.A.E., Dragano, N., Greiser, K.H., Dörr, M., Fischer, B., Berger, K., Hannemann, A., Schnabel, R.B., Nauck, M., Göttlicher, S., Rospleszcz, S., Willich, S.N., Krist, L., Schulze, M.B., Günther, K., Brand, T., Schikowski, T., Emmel, C., Schmidt, B., Michels, K.B., Mikolajczyk, R., Kluttig, A., Harth, V., Obi, N., Castell, S., Klett-Tammen, C.J., Lieb, W., Becher, H., Winkler, V., Minnerup, H., Karch, A., Meinke-Franze, C., Leitzmann, M., Stein, M.J., Bohn, B., Schöttker, B., Trares, K., Peters, A. and Pischon, T. Journal of the American Heart Association 14 (5): e038708. 4 March 2025; PMID:39996451; https://doi.org/10.1161/jaha.124.038708
DOI: 10.1161/jaha.124.038708
Availability: https://edoc.mdc-berlin.de/id/eprint/25113/
https://edoc.mdc-berlin.de/25113/
https://doi.org/10.1161/jaha.124.038708
Rights: cc_by_4
Accession Number: edsbas.A8EF19F8
Database: BASE
Description
DOI:10.1161/jaha.124.038708