-
Something wrong with this record ?
Social and environmental stressors of cardiometabolic health
A. Bartoskova Polcrova, A. Dalecka, D. Szabo, JP. Gonzalez Rivas, M. Bobak, H. Pikhart
Language English Country England, Great Britain
Document type Journal Article
Grant support
857487
Horizon 2020 Framework Programme
LM2023069
Ministerstvo Školství, Mládeže a Tělovýchovy
LX22NPO5101
European Commission
NLK
Directory of Open Access Journals
from 2011
Free Medical Journals
from 2011
Nature Open Access
from 2011-12-01
PubMed Central
from 2011
Europe PubMed Central
from 2011
ProQuest Central
from 2011-01-01
Open Access Digital Library
from 2011-01-01
Open Access Digital Library
from 2011-01-01
Health & Medicine (ProQuest)
from 2011-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2011
Springer Nature OA/Free Journals
from 2011-12-01
- MeSH
- Biomarkers blood MeSH
- Adult MeSH
- Cholesterol, HDL blood MeSH
- Cardiovascular Diseases etiology epidemiology MeSH
- Smoking adverse effects MeSH
- Blood Glucose metabolism MeSH
- Blood Pressure MeSH
- Middle Aged MeSH
- Humans MeSH
- Metabolic Diseases etiology epidemiology MeSH
- Waist Circumference MeSH
- Cross-Sectional Studies MeSH
- Stress, Psychological MeSH
- Risk Factors MeSH
- Sedentary Behavior * MeSH
- Triglycerides blood MeSH
- Environmental Exposure adverse effects MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
Exposures to social and environmental stressors arise individual behavioural response and thus indirectly affect cardiometabolic health. The aim of this study was to investigate several social and environmental stressors and the paths of their influence on cardiometabolic health. The data of 2154 participants (aged 25-64 years) from the cross-sectional population-based study were analysed. The composite score of metabolic disorders (MS score) was calculated based on 5 biomarkers: waist circumference, blood pressure, fasting blood glucose, HDL-cholesterol, triglycerides. The effects of social stressors (education level, income), environmental stressors (NO2, noise) and behavioural factors (unhealthy diet, smoking, alcohol consumption, sedentary behaviours) on MS score were assessed using a structural model. We observed a direct effect of education on MS score, as well as an indirect effect mediated via an unhealthy diet, smoking, and sedentary behaviours. We also observed a significant indirect effect of income via sedentary behaviours. The only environmental stressor predicting MS was noise, which also mediated the effect of education. In summary, the effect of social stressors on the development of cardiometabolic risk had a higher magnitude than the effect of the assessed environmental factors. Social stressors lead to an individual's unhealthy behaviour and might predispose individuals to higher levels of environmental stressors exposures.
Department of Epidemiology and Public Health University College London London UK
International Clinical Research Centre Brno Czech Republic
RECETOX Faculty of Science Masaryk University Kotlarska 2 Brno Czech Republic
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc24013481
- 003
- CZ-PrNML
- 005
- 20240905134212.0
- 007
- ta
- 008
- 240725s2024 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1038/s41598-024-64847-2 $2 doi
- 035 __
- $a (PubMed)38898083
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Bartoskova Polcrova, Anna $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic. anna.bartoskova@recetox.muni.cz
- 245 10
- $a Social and environmental stressors of cardiometabolic health / $c A. Bartoskova Polcrova, A. Dalecka, D. Szabo, JP. Gonzalez Rivas, M. Bobak, H. Pikhart
- 520 9_
- $a Exposures to social and environmental stressors arise individual behavioural response and thus indirectly affect cardiometabolic health. The aim of this study was to investigate several social and environmental stressors and the paths of their influence on cardiometabolic health. The data of 2154 participants (aged 25-64 years) from the cross-sectional population-based study were analysed. The composite score of metabolic disorders (MS score) was calculated based on 5 biomarkers: waist circumference, blood pressure, fasting blood glucose, HDL-cholesterol, triglycerides. The effects of social stressors (education level, income), environmental stressors (NO2, noise) and behavioural factors (unhealthy diet, smoking, alcohol consumption, sedentary behaviours) on MS score were assessed using a structural model. We observed a direct effect of education on MS score, as well as an indirect effect mediated via an unhealthy diet, smoking, and sedentary behaviours. We also observed a significant indirect effect of income via sedentary behaviours. The only environmental stressor predicting MS was noise, which also mediated the effect of education. In summary, the effect of social stressors on the development of cardiometabolic risk had a higher magnitude than the effect of the assessed environmental factors. Social stressors lead to an individual's unhealthy behaviour and might predispose individuals to higher levels of environmental stressors exposures.
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a dospělí $7 D000328
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a průřezové studie $7 D003430
- 650 12
- $a sedavý životní styl $7 D057185
- 650 _2
- $a psychický stres $7 D013315
- 650 _2
- $a krevní tlak $7 D001794
- 650 _2
- $a triglyceridy $x krev $7 D014280
- 650 _2
- $a obvod pasu $7 D055105
- 650 _2
- $a krevní glukóza $x metabolismus $7 D001786
- 650 _2
- $a metabolické nemoci $x etiologie $x epidemiologie $7 D008659
- 650 _2
- $a kouření $x škodlivé účinky $7 D012907
- 650 _2
- $a vystavení vlivu životního prostředí $x škodlivé účinky $7 D004781
- 650 _2
- $a kardiovaskulární nemoci $x etiologie $x epidemiologie $7 D002318
- 650 _2
- $a HDL-cholesterol $x krev $7 D008076
- 650 _2
- $a biologické markery $x krev $7 D015415
- 650 _2
- $a rizikové faktory $7 D012307
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Dalecka, Andrea $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- 700 1_
- $a Szabo, Daniel $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic
- 700 1_
- $a Gonzalez Rivas, Juan Pablo $u International Clinical Research Centre (ICRC), St Anne's University Hospital Brno (FNUSA), Brno, Czech Republic $u Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
- 700 1_
- $a Bobak, Martin $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic $u Department of Epidemiology and Public Health, University College London, London, UK
- 700 1_
- $a Pikhart, Hynek $u RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno, Czech Republic $u Department of Epidemiology and Public Health, University College London, London, UK
- 773 0_
- $w MED00182195 $t Scientific reports $x 2045-2322 $g Roč. 14, č. 1 (2024), s. 14179
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/38898083 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y - $z 0
- 990 __
- $a 20240725 $b ABA008
- 991 __
- $a 20240905134206 $b ABA008
- 999 __
- $a ok $b bmc $g 2143351 $s 1225347
- BAS __
- $a 3
- BAS __
- $a PreBMC-MEDLINE
- BMC __
- $a 2024 $b 14 $c 1 $d 14179 $e 20240619 $i 2045-2322 $m Scientific reports $n Sci Rep $x MED00182195
- GRA __
- $a 857487 $p Horizon 2020 Framework Programme
- GRA __
- $a LM2023069 $p Ministerstvo Školství, Mládeže a Tělovýchovy
- GRA __
- $a LX22NPO5101 $p European Commission
- LZP __
- $a Pubmed-20240725