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Table 4 Adjusted odd ratios of metabolic syndrome and its components in overall population with 10-μg/m3 increase in PM2.5

From: Effects of long-term PM2.5 exposure on metabolic syndrome among adults and elderly in Guangdong, China

Variables

MetS

Central obesity

High TG

 

AIC

OR (95%CI)

P

AIC

OR (95%CI)

P

AIC

OR (95%CI)

P

Model 1

7522.5

1.14(1.01, 1.29)

0.039*

8181.9

1.04 (0.93, 1.16)

0.516

6757.9

1.36 (1.34, 1.38)

 < 0.001*

Model 2

5807.8

1.17(1.15, 1.19)

 < 0.001*

4075.2

1.02 (0.85, 1.23)

0.806

6190.5

1.40 (1.21, 1.62)

 < 0.001*

Model 3

5807.8

1.17(1.01, 1.35)

0.042*

4060.1

0.98 (0.82, 1.18)

0.813

6183.0

1.36 (1.18, 1.58)

 < 0.001*

Variables

Low HDL-c

Hypertension

High FBG

 

AIC

OR (95%CI)

P

AIC

OR (95%CI)

P

AIC

OR (95%CI)

P

Model 1

8989.0

1.00 (0.90, 1.12)

0.944

9171.0

1.04 (0.93, 1.16)

0.506

7302.1

1.17 (1.02, 1.35)

0.023*

Model 2

8358.3

0.98 (0.87, 1.11)

0.784

7680.7

1.02 (0.90, 1.16)

0.721

6871.9

1.15 (1.01, 1.33)

0.047*

Model 3

8318.3

0.99 (0.88, 1.12)

0.867

7658.5

1.03 (0.91,1.16)

0.682

6823.2

1.18 (1.02, 1.36)

0.026*

  1. Model 1: Exposure to PM2.5;
  2. Model 2: Model 1 adjusted with age, sex, education, marital status, body mass index, household income;
  3. Model 3: Model 2 adjusted with exercise, cigarette smoking status, biomass fuel, alcohol consumption, red meat consumption
  4. AIC Akaike information criterion, CI Confidence interval, FBG Fasting blood glucose, HDL-c High-density lipoprotein cholesterol, MetS Metabolic syndrome, OR Odd ratio, TG Triglyceride