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Table 5 Subgroup analysis of the association between per two-year mean 10-μg/m3 increase in PM2.5 and metabolic syndrome, high triglyceride and high fasting blood among adults and elderly

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

Variable

MetS

Pinter

High TG

Pinter

High FBG

Pinter

OR (95%CI)

OR (95%CI)

OR (95%CI)

Region

 

0.054

 

0.004*

 

 < 0.001*

  Urban (n = 3613)

1.03 (0.85, 1.24)

 

1.15 (0.96, 1.36)

 

0.79 (0.66, 0.95) *

 

  Rural (n = 3015)

1.38 (1.11, 1.70) *

 

1.71 (1.37, 2.13) *

 

1.87 (1.55, 2.25) *

 

Sex

 

0.275

 

0.848

 

0.517

  Men (n = 2955)

1.24 (1.01, 1.53) *

 

1.34 (1.11, 1.62) *

 

1.23 (1.02, 1.47) *

 

  Women (n = 3673)

1.09 (0.90, 1.31)

 

1.36 (1.12, 1.66) *

 

1.13 (0.95, 1.35)

 

Age

 

0.412

 

0.083

 

0.049*

  â€‰< 45 years(n = 2316)

1.07 (0.81, 1.39)

 

1.21 (0.96, 1.54)

 

0.89 (0.68, 1.16)

 

  â€‰â‰¥â€‰45 years(n = 4312)

1.19 (1.01, 1.39) *

 

1.43 (1.22, 1.69) *

 

1.26 (1.09, 1.45) *

 

Cigarette smoking

 

0.793

 

0.637

 

0.081

  Nonsmoker(n = 4428)

1.16 (0.98, 1.38)

 

1.35 (1.15, 1.59) *

 

1.14 (0.98, 1.34)

 

  Smoker(n = 2200)

1.17 (0.91, 1.50)

 

1.42 (1.20, 1.68) *

 

1.33 (1.07, 1.65) *

 

Alcohol consumption

 

0.156

 

0.195

 

0.261

  Non-drinker (n = 3929)

1.20 (0.96, 1.50)

 

1.32 (1.06, 1.64) *

 

1.35 (1.10, 1.66) *

 

  Drinker (n = 2699)

1.14 (0.95, 1.36)

 

1.37 (1.16, 1.61) *

 

1.10 (0.93, 1.29)

 

Exercise

 

0.269

 

0.015*

 

0.040*

  No (n = 5479)

1.17 (1.01, 1.35) *

 

1.37 (1.18, 1.58) *

 

1.28 (1.11, 1.46) *

 

  Yes (n = 1149)

1.14 (0.82, 1.60) *

 

0.97 (0.72, 1.31) *

 

0.95 (0.68, 1.33)

 

BMI

 

0.795

 

0.681

 

0.349

  Underweight(n = 504)

1.02 (0.65, 1.58)

 

1.25 (0.48, 3.27)

 

1.72 (0.98, 3.02)

 

  Normal (n = 3741)

1.16 (0.93, 1.43)

 

1.47 (1.20, 1.79) *

 

1.21 (1.02, 1.44) *

 

  Over weight/Obese (n = 2383)

1.14 (0.96, 1.36)

 

1.28 (1.06, 1.53) *

 

1.12 (0.93, 1.36)

 

Grain consumption

 

0.713

 

0.897

 

 < 0.001*

   < 400 g/daily(n = 3232)

1.32 (1.08, 1.62) *

 

1.38 (1.14, 1.68) *

 

1.59 (1.32, 1.91) *

 

   â‰¥â€‰400 g/daily (n = 3396)

1.09 (0.90, 1.34)

 

1.33 (1.11, 1.61) *

 

0.96 (0.80, 1.15)

 

Vegetable and Fruit consumption

 

0.979

 

0.869

 

0.419

   < 400 g/daily(n = 3858)

1.25 (1.03, 1.51) *

 

1.41 (1.18, 1.69) *

 

1.43 (1.20, 1.70) *

 

  â€‰â‰¥â€‰400 g/daily (n = 2770)

1.14 (0.92, 1.41)

 

1.36 (1.10, 1.66) *

 

0.91 (0.75, 1.11)

 

Red Meat consumption

 

0.312

 

0.332

 

0.860

   < 100 g/daily (n = 3970)

1.16 (0.97, 1.39)

 

1.29 (1.09, 1.53) *

 

1.33 (1.13, 1.57) *

 

   â‰¥â€‰100 g/daily (n = 2658)

1.19 (0.96, 1.49)

 

1.38 (1.13, 1.70) *

 

1.02 (0.83, 1.24)

 
  1. AIC Akaike information criterion, BMI Body-mass index, CI Confidence interval, FBG Fasting blood glucose, HDL-C High-density lipoprotein cholesterol, MetS Metabolic syndrome, OR Odd ratio, TG Triglyceride
  2. Adjusted with age, sex, education, marital status, body mass index, household income, exercise, cigarette smoking status, biomass fuel, alcohol consumption, red meat consumption
  3. ∗: P < 0.05