Differential effects of air pollution on ischemic stroke and ischemic heart disease by ethnicity in a nationwide cohort in the Netherlands DOI Creative Commons
Lieke van den Brekel, Joreintje D. Mackenbach, Diederick E. Grobbee

et al.

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 18, 2024

Abstract Background Air pollution is a major risk factor for cardiovascular diseases and contributes to health disparities, particularly among minority ethnic groups, who often face higher exposure levels. Knowledge on whether the effect of air differs between groups crucial identifying mechanisms underlying ultimately informing targeted public strategies interventions. We explored differences in associations ischemic stroke heart disease (IHD) six largest Netherlands. Methods This nationwide analysis (2014–2019), linked residential-address concentrations NO 2 PM 2.5 individual-level hospital mortality data. To evaluate incident stroke, we created cohort residents ≥30 years free at baseline IHD IHD. performed Cox proportional hazard survival analyses each with 2014 average or as determinants, stratified by ethnicity (Dutch, German, Indonesian, Surinamese, Moroccan, Turkish) adjusted age, sex, socioeconomic indicators region. Results Both cohorts included > 9.5 million people. During follow-up, 127,673 (1.3%) developed 156,517 (1.6%) For p-values interaction were 0.057 0.055 . The HR 1 IQR increase (6.42 µg/m 3 ) was lowest Moroccans (0.92 [0.84–1.02], p-value = 0.032 difference Dutch) highest Turks (1.09 [1.00-1.18], 0.157 Dutch). results similar. IHD, unexpectedly associated lower incidence. 1.75*10 − 5 1.06*10 HRs (NO : 0.88 [0.83–0.92], 2.0*10 4 Dutch, 0.86 [0.82–0.91], 1.3*10 Surinamese 1.02 [0.97–1.07], 0.014 Dutch (PM 0.96 [0.94–0.98]). Conclusions Associations pollutants differ notably Policies reduce prevent should target populations vulnerable high risk.

Language: Английский

Designing regional joint prevention and control schemes of PM2.5 based on source apportionment of chemical transport model: A case study of a heavy pollution episode DOI
Yangjun Wang, Ning Miao,

Qingfang Su

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 455, P. 142313 - 142313

Published: April 24, 2024

Language: Английский

Citations

2
Differential effects of air pollution on ischemic stroke and ischemic heart disease by ethnicity in a nationwide cohort in the Netherlands DOI Creative Commons
Lieke van den Brekel, Joreintje D. Mackenbach, Diederick E. Grobbee

et al.

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 18, 2024

Abstract Background Air pollution is a major risk factor for cardiovascular diseases and contributes to health disparities, particularly among minority ethnic groups, who often face higher exposure levels. Knowledge on whether the effect of air differs between groups crucial identifying mechanisms underlying ultimately informing targeted public strategies interventions. We explored differences in associations ischemic stroke heart disease (IHD) six largest Netherlands. Methods This nationwide analysis (2014–2019), linked residential-address concentrations NO 2 PM 2.5 individual-level hospital mortality data. To evaluate incident stroke, we created cohort residents ≥30 years free at baseline IHD IHD. performed Cox proportional hazard survival analyses each with 2014 average or as determinants, stratified by ethnicity (Dutch, German, Indonesian, Surinamese, Moroccan, Turkish) adjusted age, sex, socioeconomic indicators region. Results Both cohorts included > 9.5 million people. During follow-up, 127,673 (1.3%) developed 156,517 (1.6%) For p-values interaction were 0.057 0.055 . The HR 1 IQR increase (6.42 µg/m 3 ) was lowest Moroccans (0.92 [0.84–1.02], p-value = 0.032 difference Dutch) highest Turks (1.09 [1.00-1.18], 0.157 Dutch). results similar. IHD, unexpectedly associated lower incidence. 1.75*10 − 5 1.06*10 HRs (NO : 0.88 [0.83–0.92], 2.0*10 4 Dutch, 0.86 [0.82–0.91], 1.3*10 Surinamese 1.02 [0.97–1.07], 0.014 Dutch (PM 0.96 [0.94–0.98]). Conclusions Associations pollutants differ notably Policies reduce prevent should target populations vulnerable high risk.

Language: Английский

Citations

0