Association of neighbourhood socioeconomic status and individual socioeconomic status with cardiovascular risk factors in an Eastern German population: the CARLA Study 2002–2006

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Greiser, K. H.German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany (author)

Association of neighbourhood socioeconomic status and individual socioeconomic status with cardiovascular risk factors in an Eastern German population : the CARLA Study 2002–2006

Article/chapterEnglish2011

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2011-08-05
BMJ,2011
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LIBRIS-ID:oai:DiVA.org:umu-47400
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-47400URI
https://doi.org/10.1136/jech.2011.142976i.39DOI

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Language:English
Summary in:English

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Subject category:kon swepub-publicationtype

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Introduction/objectives: Individual socioeconomic status (SES) is a determinant of cardiovascular risk factors (RF). Recent studies suggest an independent association of neighbourhood SES with cardiovascular RF, but the mechanisms have not fully been understood. Our aim was to assess the association of neighbourhood and individual SES with cardiovascular RF in an Eastern German population. Methods: We used cross-sectional data of 1779 participants aged 45–83 years of the population-based CARLA study. We calculated linear mixed models to assess the age-adjusted influence of neighbourhood-specific unemployment rates and individual SES on smoking, systolic blood pressure (SBP), and body mass index (BMI). Spatial dependencies within and between neighbourhoods were adjusted for by using ICAR models. Results: Neighbourhood-specific unemployment rates varied between 6.3 and 35.3%. Per 1% increase in the neighbourhood's unemployment rate, the number of cigarettes smoked/day increased by 0.11 in men (95% CI 0.09 to 0.12) and 0.05, (CI 0.04 to 0.07) in women. In women, SBP increased by 0.04 mm Hg with unemployment rate (CI 0.03 to 0.06), while there was no statistically significant association of SBP with SES in men. BMI was only in women significantly associated with unemployment (increase in BMI per 1% increase in unemployment rate 0.04 (CI 0.02 to 0.05)). Associations of RF with individual SES were stronger than with neighbourhood SES in multiple models. Conclusions: Our findings confirm the previously described association of neighbourhood SES with smoking independent of individual SES, while we found inconsistent associations with SBP and BMI. The neighbourhood environment may be more relevant for behavioural than for biomedical risk factors.

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Tiller, D.Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany (author)
Kuss, O.Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany (author)
Kluttig, A.Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany (author)
Rudge, G.Public Health, Epidemiology and Biostatistics Unit, The College of Medical and Dental Sciences, The University of Birmingham, Birmingham, UK (author)
Schumann, BarbaraUmeå universitet,Epidemiologi och global hälsa(Swepub:umu)basc0002 (author)
Werdan, K.University Clinic for Internal Medicine III, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany (author)
Haerting, J.Institute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany (author)
German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, GermanyInstitute of Medical Epidemiology, Biostatistics, and Informatics, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany (creator_code:org_t)

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In:IEA World Congress of Epidemiology, 7–11 August 2011, Edinburgh International Conference Centre, Edinburgh, Scotland Programme and abstracts: BMJ, s. A249-

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