Socioeconomic differences in tobacco outlet presence, density, and proximity in four cities in the Netherlands ...

Abstract Background Previous studies found that tobacco outlets were unevenly distributed by area socioeconomic status (SES). However, evidence from continental Europe is limited. This study aims to assess differences in tobacco outlet presence, density and proximity by area SES in the Netherlands. Methods All tobacco outlets in four Dutch cities (Amsterdam, and medium-sized cities Eindhoven, Haarlem, and Zwolle) were mapped between September 2019 and June 2020. We estimated associations between average property value of neighbourhoods (as an indicator of SES, grouped into quintiles) and (1) t... Mehr ...

Verfasser: van Deelen, Tessa R.D.
Veldhuizen, Els M.
van den Putte, Bas
Kunst, Anton E.
Kuipers, Mirte A.G.
Dokumenttyp: Datenquelle
Erscheinungsdatum: 2023
Verlag/Hrsg.: figshare
Schlagwörter: Biochemistry / Environmental Sciences not elsewhere classified / Sociology / FOS: Sociology / Biological Sciences not elsewhere classified / Cancer / Science Policy / Plant Biology / FOS: Biological sciences / Computational Biology
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29167663
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.6084/m9.figshare.c.6782988.v1

Abstract Background Previous studies found that tobacco outlets were unevenly distributed by area socioeconomic status (SES). However, evidence from continental Europe is limited. This study aims to assess differences in tobacco outlet presence, density and proximity by area SES in the Netherlands. Methods All tobacco outlets in four Dutch cities (Amsterdam, and medium-sized cities Eindhoven, Haarlem, and Zwolle) were mapped between September 2019 and June 2020. We estimated associations between average property value of neighbourhoods (as an indicator of SES, grouped into quintiles) and (1) tobacco outlet presence in the neighbourhood (yes/no), (2) density (per km2), and (3) proximity to the closest outlet (in meters), using logistic and linear regression models. Results 46% of neighbourhoods contained at least one tobacco outlet. Tobacco outlets were mostly situated in city centres, but the distribution of tobacco outlets varied per city due to differences in urban structures and functions. In the ...