2023
Social and environmental stressors and cardiometabolic risk
BARTOŠKOVÁ, Anna; Andrea DALECKÁ; Daniel SZABÓ; Juan Pablo GONZALEZ RIVAS; Martin BOBÁK et al.Základní údaje
Originální název
Social and environmental stressors and cardiometabolic risk
Autoři
BARTOŠKOVÁ, Anna; Andrea DALECKÁ; Daniel SZABÓ ORCID; Juan Pablo GONZALEZ RIVAS; Martin BOBÁK a Hynek PIKHART
Vydání
16th European Public Health Conference 2023 Our Food, Our Health, Our Earth: A Sustainable Future for Humanity Dublin, Ireland 8–11 November 2023, 2023
Další údaje
Jazyk
angličtina
Typ výsledku
Konferenční abstrakt
Obor
30201 Cardiac and Cardiovascular systems
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 3.700
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14110/23:00133828
Organizační jednotka
Lékařská fakulta
ISSN
Klíčová slova anglicky
environmental stressors; social stressors; cardiometabolic risk
Štítky
Změněno: 22. 5. 2026 14:10, Mgr. Tereza Miškechová
Anotace
V originále
Background Cardiometabolic health is influenced by many social and environmental factors, as demonstrated by the ubiquitous health inequalities. Exposures to social and environmental stressors produce individual biological and behavioural responses and thus may lead to impaired health both directly and indirectly. This study investigated several social and environmental stressors and describe the paths of their effect on cardiometabolic health. Methods We analysed a cross-sectional population sample of 2154 Czech subjects (aged 25-64 years, 55% women). The composite score (range 0-5) of metabolic disorders was calculated using 5 biomarkers: waist circumference, blood pressure, fasting blood glucose, HDL-cholesterol, and triglycerides. The higher score represents the higher cardiometabolic risk (CMR). The effects of social stressors (education, income), environmental stressors (air pollution, greenspace, noise) and behavioural factors (unhealthy diet, smoking, alcohol intake, sedentary behaviours) on CMR were assessed using a structural pathway model. Results We observed a significant direct effect of higher education on CMR (β=-0.101; 95% CI [-0.146, -0.056], as well as an indirect effect mediated via an unhealthy diet (β=-0.013; 95% CI [-0.022, -0.006]), smoking (β=-0.015; 95% CI [-0.028, -0.003]), and sedentary behaviours (β = 0.013; 95% CI [0.007, 0.022]). We also observed a significant indirect effect of higher income via sedentary behaviours (β = 0.012; 95% CI [0.006, 0.019]). The only environmental stressor significantly predicting CMR was noise (β = 0.054; 95% CI [0.006, 0.019]), which was also mediating the effect of higher education (β=-0.003; 95% CI [-0.008, -0.001]). Conclusions The effect of social stressors on the development of CMR had a higher magnitude than the effect of the assessed environmental factors. Social stressors lead to an individual's unhealthy behaviour and predispose individuals to higher levels of environmental stressors exposures.