Air pollution, greenspace, and metabolic syndrome in older Czech and Swiss populations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F25%3A00140975" target="_blank" >RIV/00216224:14310/25:00140975 - isvavai.cz</a>

Výsledek na webu

<a href="https://pubmed.ncbi.nlm.nih.gov/40351522/" target="_blank" >https://pubmed.ncbi.nlm.nih.gov/40351522/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1097/EE9.0000000000000393" target="_blank" >10.1097/EE9.0000000000000393</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Air pollution, greenspace, and metabolic syndrome in older Czech and Swiss populations

Popis výsledku v původním jazyce

Background: The prevalence of metabolic syndrome (MetS) has increased rapidly, with considerable variation between European countries. The study examined the relationship between air pollutants, greenspace and MetS and its components in Czech and Swiss populations. Methods: Cross-sectional data from the Czech HAPIEE (n=4,931) and the Swiss SAPALDIA (n=4,422) cohorts included participants aged 44-73 years. MetS was defined as abdominal obesity plus two additional components (hypertension, diabetes, low HDL cholesterol, elevated triglycerides). Annual mean concentrations of PM10, PM2.5, NO2 and greenspace (defined as annual mean of NDVI within 500 m) were assigned to the individual residential level. We estimated odds ratios (OR) using multivariable logistic regressions with cluster-robust standard error, controlling for multiple confounders. Results: The prevalence of MetS was significantly higher in Czech (51.1%) compared to Swiss (35.8%) population as were the concentration means of PM10 and PM2.5. In HAPIEE, 5 μg/m3 increase in PM2.5 was associated with 14% higher odds of MetS (OR=1.14; 95% CI 1.01-1.28). In SAPALDIA, no evidence was found for the associations between air pollutants and MetS (e.g. OR=1.01; 95% CI 0.90-1.13 for PM2.5). No protective effects of NDVI on MetS were observed. Upon inspection of MetS components, PM2.5 and PM10 exposures were associated with higher odds of hypertension and elevated TG in HAPIEE only, while PM2.5, PM10 and NO2 were associated with higher odds of diabetes in SAPALDIA only. Conclusion: Individuals with higher exposures to PM2.5 may be at higher risk of MetS. The differential associations with MetS components between the cohorts deserve further investigation.

Název v anglickém jazyce

Air pollution, greenspace, and metabolic syndrome in older Czech and Swiss populations

Popis výsledku anglicky

Background: The prevalence of metabolic syndrome (MetS) has increased rapidly, with considerable variation between European countries. The study examined the relationship between air pollutants, greenspace and MetS and its components in Czech and Swiss populations. Methods: Cross-sectional data from the Czech HAPIEE (n=4,931) and the Swiss SAPALDIA (n=4,422) cohorts included participants aged 44-73 years. MetS was defined as abdominal obesity plus two additional components (hypertension, diabetes, low HDL cholesterol, elevated triglycerides). Annual mean concentrations of PM10, PM2.5, NO2 and greenspace (defined as annual mean of NDVI within 500 m) were assigned to the individual residential level. We estimated odds ratios (OR) using multivariable logistic regressions with cluster-robust standard error, controlling for multiple confounders. Results: The prevalence of MetS was significantly higher in Czech (51.1%) compared to Swiss (35.8%) population as were the concentration means of PM10 and PM2.5. In HAPIEE, 5 μg/m3 increase in PM2.5 was associated with 14% higher odds of MetS (OR=1.14; 95% CI 1.01-1.28). In SAPALDIA, no evidence was found for the associations between air pollutants and MetS (e.g. OR=1.01; 95% CI 0.90-1.13 for PM2.5). No protective effects of NDVI on MetS were observed. Upon inspection of MetS components, PM2.5 and PM10 exposures were associated with higher odds of hypertension and elevated TG in HAPIEE only, while PM2.5, PM10 and NO2 were associated with higher odds of diabetes in SAPALDIA only. Conclusion: Individuals with higher exposures to PM2.5 may be at higher risk of MetS. The differential associations with MetS components between the cohorts deserve further investigation.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30304 - Public and environmental health

Projekt

<a href="/cs/project/LX22NPO5101" target="_blank" >LX22NPO5101: Národní institut pro výzkum socioekonomických dopadů nemocí a systémových rizik</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Environmental Epidemiology

ISSN

2474-7882

e-ISSN

2474-7882

Svazek periodika

9

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

1-10

Kód UT WoS článku

001483998700001

EID výsledku v databázi Scopus

2-s2.0-105005155172