306 Ethnic inequalities in physico-chemical, physical and social neighborhood exposures: an individual-level data analysis of 13,926,781 adults

Abstract OP 1: Determinants of Health Disease and Interventions 1, B207 (FCSH), September 3, 2025, 14:30 - 15:30 Aims Ethnic minority populations may be disproportionally affected by unhealthy environmental exposures, increasing health inequities. This study aims to identify whether residential neighborhood exposures differ between ethnic groups in the Netherlands. Methods This cross-sectional study included all adult residents of the Netherlands registered in the national population register on 01/01/2022 (N = 13,926,871). Exposure data (physico-chemical, food and physical environment, socio-economic characteristics, health and social well-being) were obtained from Statistics Netherlands, GECCO and the Dutch Health Monitor, and linked to individuals based on geocoded home addresses. Ethnicity was based on country of birth of individuals and their parents. Estimated marginal means were calculated and ethnic differences in exposure determined using multiple linear and logistic regression, adjusted for age and sex, stratified by socio-economic status (SES) and population density. Results Compared to Dutch-origin, ethnic minority populations had less favorable physico-chemical exposures (e.g. 0.87µg/m3 [95%-CI: 0.86;0.88] higher PM2.5 exposure for Moroccans in “high SES-high population density”). Conversely, the food and physical activity environment was more favorable for ethnic minorities (e.g. 1.82km/ha [95%-CI 1.80;1.83] higher bike path density among Turks in the “low SES-low population” density category). Socio-economic characteristics of the environment were generally less favorable for ethnic minorities (E.g. difference between Dutch Caribbeans and Dutch-origin -4.23% [95%-CI -4.35;-4.11] in “high income-high population density”. Ethnic differences in health and social well-being varied. Neighborhood-level smoking was most prevalent among ethnic minorities, while excessive drinking was most prevalent among Dutch-origin. Exposure to vandalism and (sexual)violence was lowest among Dutch-origin and highest among Dutch Caribbean, Moroccans, Turks and Surinamese. Conclusions Physico-chemical exposure, socio-economic characteristics of the environment and safety from crime were less favorable among ethnic minority populations compared to Dutch-origin. The food and physical activity environment was more favorable for ethnic minorities. Ethnic inequalities were most pronounced among Moroccans, Turks, Surinamese and Dutch Caribbeans compared to Dutch-origin.

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Journal
European Journal of Public Health
Published
2025-12-01
DOI
https://doi.org/10.1093/eurpub/ckaf180.057
Primary Topic
Health, Environment, Cognitive Aging
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article
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article

306 Ethnic inequalities in physico-chemical, physical and social neighborhood exposures: an individual-level data analysis of 13,926,781 adults

Jeroen Lakerveld, Femke Rutters, Mirthe Muilwijk, Marieke T. Blom et al.
European Journal of Public Health
Health, Environment, Cognitive Aging
article

306 Ethnic inequalities in physico-chemical, physical and social neighborhood exposures: an individual-level data analysis of 13,926,781 adults

Jeroen Lakerveld, Femke Rutters, Mirthe Muilwijk, Marieke T. Blom, Ilonca Vaartjes, Karien Stronks, Joline W. J. Beulens, Petra Elders
article en

Abstract

Abstract OP 1: Determinants of Health Disease and Interventions 1, B207 (FCSH), September 3, 2025, 14:30 - 15:30 Aims Ethnic minority populations may be disproportionally affected by unhealthy environmental exposures, increasing health inequities. This study aims to identify whether residential neighborhood exposures differ between ethnic groups in the Netherlands. Methods This cross-sectional study included all adult residents of the Netherlands registered in the national population register on 01/01/2022 (N = 13,926,871). Exposure data (physico-chemical, food and physical environment, socio-economic characteristics, health and social well-being) were obtained from Statistics Netherlands, GECCO and the Dutch Health Monitor, and linked to individuals based on geocoded home addresses. Ethnicity was based on country of birth of individuals and their parents. Estimated marginal means were calculated and ethnic differences in exposure determined using multiple linear and logistic regression, adjusted for age and sex, stratified by socio-economic status (SES) and population density. Results Compared to Dutch-origin, ethnic minority populations had less favorable physico-chemical exposures (e.g. 0.87µg/m3 [95%-CI: 0.86;0.88] higher PM2.5 exposure for Moroccans in “high SES-high population density”). Conversely, the food and physical activity environment was more favorable for ethnic minorities (e.g. 1.82km/ha [95%-CI 1.80;1.83] higher bike path density among Turks in the “low SES-low population” density category). Socio-economic characteristics of the environment were generally less favorable for ethnic minorities (E.g. difference between Dutch Caribbeans and Dutch-origin -4.23% [95%-CI -4.35;-4.11] in “high income-high population density”. Ethnic differences in health and social well-being varied. Neighborhood-level smoking was most prevalent among ethnic minorities, while excessive drinking was most prevalent among Dutch-origin. Exposure to vandalism and (sexual)violence was lowest among Dutch-origin and highest among Dutch Caribbean, Moroccans, Turks and Surinamese. Conclusions Physico-chemical exposure, socio-economic characteristics of the environment and safety from crime were less favorable among ethnic minority populations compared to Dutch-origin. The food and physical activity environment was more favorable for ethnic minorities. Ethnic inequalities were most pronounced among Moroccans, Turks, Surinamese and Dutch Caribbeans compared to Dutch-origin.

European Journal of Public HealthVol. 35(Supplement_6)
University Medical Center Utrecht (NL), Amsterdam Neuroscience (NL), GGD Amsterdam (NL), Public Health Service of Amsterdam (NL), Amsterdam University of Applied Sciences (NL), Vrije Universiteit Amsterdam (NL), University of Amsterdam (NL)
Openalex Percentile: Top 52%
Health, Environment, Cognitive Aging
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