OBJECTIVE: Environmental noise exposure is associated with adiposity. However, less is known about the individual vulnerability to environmental noise in abnormal adiposity development, particularly in relation to mental health. This study investigated the association between environmental noise exposure and four adiposity biomarkers and tested the moderation effect of depressive symptoms. METHODS: A cross-sectional population-based sample of 2031 participants aged 25-64 years (54.70% women) was drawn from the Kardiovize study in 2013. Global combined (road, railway, and airport) Lden (day-evening-night) noise exposures were obtained from the geographical prediction modelling for the 2nd report of Strategic noise mapping in the Czech Republic (2012). Four adiposity biomarkers (BMI, body fat percentage, waist circumference, and visceral fat area) were assessed. Depressive symptoms were measured by PHQ-9. Linear regression was used to estimate the separate effects of quartiles of noise exposure and depressive symptoms on adiposity biomarkers and to examine the interaction between noise exposure and depressive symptoms. RESULTS: The average noise exposure was 53.79 dB, ranging from 42.50 dB to 66.97 dB. All biomarkers were significantly elevated in the highest noise exposure quartile (>56 dB), compared to the lowest quartile (<51 dB) (p < 0.05). The association between noise and adiposity biomarkers was modified by presence of depressive symptoms; the increase in all adiposity biomarkers in the highest quartile of noise was significantly larger among subjects with moderate to severe depressive symptoms (p < 0.005). CONCLUSION: The study confirmed the association between environmental noise exposure and several adiposity measures. The association was stronger in the presence of depressive symptoms.
- MeSH
- adipozita * MeSH
- biologické markery * krev MeSH
- deprese * epidemiologie MeSH
- dospělí MeSH
- hluk škodlivé účinky MeSH
- index tělesné hmotnosti MeSH
- lidé středního věku MeSH
- lidé MeSH
- obvod pasu MeSH
- průřezové studie MeSH
- vystavení vlivu životního prostředí MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
OBJECTIVE: Arterial stiffness (ArSt) describes a loss of arterial wall elasticity and is an independent predictor of cardiovascular events. A cardiometabolic-based chronic disease model integrates concepts of adiposity-based chronic disease (ABCD), dysglycemia-based chronic disease (DBCD), and cardiovascular disease. We assessed if ABCD and DBCD models detect more people with high ArSt compared with traditional adiposity and dysglycemia classifiers using the cardio-ankle vascular index (CAVI). METHODS: We evaluated 2070 subjects aged 25 to 64 years from a random population-based sample. Those with type 1 diabetes were excluded. ABCD and DBCD were defined, and ArSt risk was stratified based on the American Association of Clinical Endocrinologists criteria. RESULTS: The highest prevalence of a high CAVI was in stage 2 ABCD (18.5%) and stage 4 DBCD (31.8%), and the lowest prevalence was in stage 0 ABCD (2.2%). In univariate analysis, stage 2 ABCD and all DBCD stages increased the risk of having a high CAVI compared with traditional classifiers. After adjusting for age and gender, only an inverse association between obesity (body mass index ≥30 kg/m2) and CAVI remained significant. Nevertheless, body mass index was responsible for only 0.3% of CAVI variability. CONCLUSION: The ABCD and DBCD models showed better performance than traditional classifiers to detect subjects with ArSt; however, the variables were not independently associated with age and gender, which might be explained by the complexity and multifactoriality of the relationship of CAVI with the ABCD and DBCD models, mediated by insulin resistance.
