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Residential exposures associated with adiposity and proinflammatory markers in obese adults with metabolic syndrome: a cross-sectional study Cover

Residential exposures associated with adiposity and proinflammatory markers in obese adults with metabolic syndrome: a cross-sectional study

Open Access
|Sep 2026

Figures & Tables

Table 1

Characteristics of the study participants

CharacteristicsNDescriptive statistics
Total samplePlovdivOther settlements
Sociodemographics
Age [years] (mean±SD)9045.64±6.6746.48±6.0744.77±7.21
Male sex (N, %)9058 (64.44)28 (60.90)30 (68.20)
Bulgarian ethnicity (N, %)9083 (92.22)41 (89.10)42 (95.50)
Higher education (N, %)8844 (48.89)21 (47.70)23 (50.00)
Perceived income [1–6 Likert scale] (median; IQR)652.00 (1.00)3.00 (1.00)2.00 (1.00)
Cytokines
IL-6 [pg/mL] (median; IQR)9028.50 (35.18)23.10 (42.82)29.50 (32.52)
TNF-α [pg/mL] (median; IQR)909.80 (19.30)8.70 (16.90)12.07 (20.01)
CRP [mg/L] (median; IQR)889.00 (14.00)5.50 (14.00)10.50 (12.75)
Visfatin [ng/mL] (median; IQR)906.30 (4.03)6.30 (3.90)6.30 (4.08)
Leptin [ng/mL] (median; IQR)9046.50 (60.58)40.3 (53.32)59.40 (66.88)
Adiponectin [μg/mL] (median; IQR)907.62 (5.01)8.25 (5.58)6.58 (4.39)
Adiponectin-leptin ratio (median; IQR)900.13 (0.22)0.14 (0.22)0.13 (0.17)
Adiposity-related markers
BMI [kg/m2] (mean±SD)9039.65±6.5039.37 (6.34)39.96 (6.74)
WHR (mean±SD)901.10±0.101.09 (0.10)1.10 (0.10)
Body fat [%] (mean±SD)9038.56±7.9139.32 (7.91)37.77 (7.92)
Visceral fat [%] (median; IQR)9020.00 (4.00)17.85 (3.27)17.52 (3.08)
Environmental factors
NO2 [μg/m3] (median; IQR)8322.49 (11.53)27.04 (5.09)15.38 (2.83)
PM2.5 [μg/m3] (median; IQR)8321.66 (5.57)22.09 (2.17)17.94 (7.44)
PM10 [μg/m3] (median; IQR)8333.25 (7.41)37.08 (4.72)30.17 (6.52)
Solid fuel burning (N, %)9037 (41.11)2 (4.35)35 (79.55)
Lden [dB] (median; IQR)4268.61 (2.82)68.61 (2.82)-
NDVI (median; IQR)840.39 (0.09)0.39 (0.09)0.39 (0.10)
Tree cover [%] (median; IQR)834.77 (7.15)7.87 (6.23)2.29 (3.31)
Time in nature [hours/week] (median; IQR)902.00 (2.50)2.00 (2.87)3.00 (2.13)
Other covariates
Smoker (N, %)9052 (57.78)26 (56.52)26 (59.09)
Self-rated health [1–5 Likert scale] (median; IQR)882.00 (1.00)2.00 (1.00)3.00 (1.00)
Plovdiv city (N, %)9046 (51.11)--
Population [people] (median; IQR)423402.50 (1487)3402.50 (1487)-
Building type (N, %)90
  Apartment building43 (47.78)35 (76.09)8 (18.18)
  Detached house17 (18.89)3 (6.52)14 (31.82)
  Multifamily house28 (31.11)8 (17.39)20 (45.45)
  Other2 (2.22)0 (0)2 (4.55)

[i] BMI – body mass index; CRP – C-reactive protein; IQR – interquartile range; IL-6 – interleukin-6; Lden – A-weighted day-evening-night sound levels; NDVI – normalized difference vegetation index; NO2 – nitrogen dioxide; PM10 – particulate matter with aerodynamic diameter ≤10 μm; PM2.5 – particulate matter with aerodynamic diameter ≤2.5 μm; SD – standard deviation; TNF-α – tumour necrosis factor alpha; WHR – waist-to-hip ratio

Figure 1

Kendall's tau correlations between proinflammatory markers, adipokines, environmental factors, and other covariates (warmer red shades represent higher positive and colder blue shades represent higher negative correlations) * p<0.05. BF% – body fat percent; BMI – body mass index; CRP – C-reactive protein; IL-6 – interleukin-6; Lden – A-weighted day-evening-night sound levels; NDVI – normalized difference vegetation index; NO2 – nitrogen dioxide; PM10 – particulate matter with aerodynamic diameter ≤10 μm; PM2.5 – particulate matter with aerodynamic diameter ≤2.5 μm.TNF-α – tumour necrosis factor alpha; VF% – visceral fat percent; WHR – waist-to-hip ratio

Figure 2

Percentage change in cytokine levels in association with environmental factors. The models are adjusted for age, sex, ethnicity, education, perceived income adequacy, and settlement (for the noise model, settlement was replaced by population). The exposures are tested one-at-a-time in separate models. Coefficients shown are percentage change scores with 95 % confidence intervals, expressed per 10 μg/m3 NO2, PM2.5, and PM10, per 5 dB Lden, per 0.1 in NDVI, per 10 % tree cover, and per 2 h/week in nature. Confidence intervals not crossing the horizontal reference line indicate statistically significant estimates. CRP – C-reactive protein; IL-6 – interleukin-6; Lden – A-weighted day-evening-night sound levels; NDVI – normalised difference vegetation index; NO2 – nitrogen dioxide; PM10 – particulate matter with aerodynamic diameter ≤10 μm; PM2.5 – particulate matter with aerodynamic diameter ≤2.5 μm; TNF-α – tumour necrosis factor alpha

Figure 3

Percentage change in cytokine levels in association with environmental exposures – fully adjusted models. The models are adjusted for age, sex, ethnicity, education, perceived income adequacy, self-rated health, building type, smoking, and settlement (for the noise model, settlement was replaced by population). The exposures are tested one-at-a-time in separate models. Coefficients shown are percentage change scores with 95 % confidence intervals, expressed per 10 μg/m3 NO2, PM2.5, and PM10, per 5 dB Lden, per 0.1 in NDVI, per 10 % tree cover, and per 2 h/week in nature. Confidence intervals not crossing the horizontal reference line indicate statistically significant estimates. CRP – C-reactive protein; IL-6 – interleukin-6; Lden – A-weighted day-evening-night sound levels; NDVI – normalised difference vegetation index; NO2 – nitrogen dioxide; PM10 – particulate matter with aerodynamic diameter ≤10 μm; PM2.5 – particulate matter with aerodynamic diameter ≤2.5 μm; TNF-α – tumour necrosis factor alpha

Figure 4

Percentage change in cytokine levels in association with environmental exposures – multi-exposure models. The models are adjusted for age, sex, ethnicity, education, perceived income adequacy, and settlement (for the noise model, settlement was replaced by population). The exposures are adjusted for each other and tested all at once. Coefficients shown are percentage change scores with 95 % confidence intervals, expressed per 10 μg/m3 NO2, PM2.5, per 0.1 in NDVI, and per 2 h/week in nature. Confidence intervals not crossing the horizontal reference line indicate statistically significant estimates. CRP – C-reactive protein; IL-6 – interleukin-6; NDVI – normalised difference vegetation index; NO2 – nitrogen dioxide; PM2.5 – particulate matter with aerodynamic diameter ≤2.5 μm; TNF-α – tumour necrosis factor alpha

Figure 5

Percentage change in adiponectin-leptin ratio in association with environmental factors. The models are adjusted for age, sex, ethnicity, education, perceived income adequacy, and settlement (for the noise model, settlement was replaced by population). The exposures are tested one-at-a-time in separate models. Coefficients shown are percentage change scores with 95 % confidence inter vals, expressed per 10 μg/m3 NO2, PM2.5, and PM10, per 5 dB Lden, per 0.1 in NDVI, per 10 % tree cover, and per 2 h/week in nature. Confidence intervals not crossing the horizontal reference line indicate statistically significant estimates. Lden – A-weighted day-evening-night sound levels; NDVI – normalised difference vegetation index; NO2 – nitrogen dioxide; PM10 – particulate matter with aerodynamic diameter ≤10 μm; PM2.5 – particulate matter with aerodynamic diameter ≤2.5 μm

Figure 6

Percentage change in adiposity markers in association with environmental factors. The models are adjusted for age, sex, ethnicity, education, perceived income adequacy, and settlement (for the noise model, settlement was replaced by population). The exposures are tested one-at-a-time in separate models. Coefficients shown are percentage change scores with 95 % confidence intervals, expressed per 10 μg/m3 NO2, PM2.5, and PM10, per 5 dB Lden, per 0.1 units in NDVI, per 10 % tree cover, and per 2 h/week in nature. Confidence intervals not crossing the horizontal reference line indicate statistically significant estimates. BMI – body mass index; Lden – A-weighted day-evening-night sound levels; NDVI – normalised difference vegetation index; NO2 – nitrogen dioxide; PM10 – particulate matter with aerodynamic diameter ≤10 μm; PM2.5 – particulate matter with aerodynamic diameter ≤2.5 μm; WHR – waist-to-hip ratio

DOI: https://doi.org/10.2478/aiht-2026-77-4124 | Journal eISSN: 1848-6312 (formerly 0004-1254) | Journal ISSN: 0004-1254
Language: English, Croatian
Page range: 198 - 212
Submitted on: Mar 1, 2026
Accepted on: Aug 1, 2026
Published on: Sep 25, 2026
Published by: Institute for Medical Research and Occupational Health
In partnership with: Paradigm Publishing Services

© 2026 Angel M. Dzhambov, Spas Kitov, Kostadin R. Kostadinov, Maria-Florance Kitova, Angel Burov, Marco Helbich, Tanya Deneva, Lyudmila Kitova, published by Institute for Medical Research and Occupational Health
This work is licensed under the Creative Commons Attribution 4.0 License.