Table 2 All population in a generalized linear model based on beta coefficients (β) and 95% confidence intervals (95% CI) of the triglyceride-glucose index versus urinary metal levels.

From: Sex specific associations of urinary metals with TyG index in the Chinese elderly ​

Urinary metals

Generalized linear model [β value (95% CI)]

P-trend

Q1

Q2

Q3

Q4

Fe

 Model1

0(ref.)

− 0.057(− 0.122,0.009)

− 0.578(− 0.123,0.007)

− 0.128(− 0.193,-0.062)

<0.001

 Model2

0(ref.)

− 0.053(− 0.116,0.010)

− 0.053(− 0.115,0.010)

− 0.141(− 0.204,− 0.078)

<0.001

As

 Model1

0(ref.)

0.001(− 0.064,0.066)

0.093(0.028,0.158)

0.159(0.094,0.158)

<0.001

 Model2

0(ref.)

0.007(− 0.056,0.069)

0.093(0.031,0.156)

0.142(0.078,0.205)

<0.001

V

 Model1

0(ref.)

0.044(-0.022,0.109)

0.036(-0.030,0.101)

− 0.004(− 0.069,0.061)

0.850

 Model2

0(ref.)

0.039(-0.024,0.102)

0.024(-0.039,0.087)

−  0.023(− 0.086,0.040)

0.408

Co

 Model1

0(ref.)

0.016(-0.049,0.081)

0.075(0.010,0.140)

0.075(0.010,0.141)

0.007

 Model2

0(ref.)

0.011(-0.051,0.074)

0.067(0.004,0.129)

0.045(− 0.019,0.108)

0.063

Cu

 Model1

0(ref.)

0.010(-0.055,0.075)

0.087(0.022,0.152)

0.125(0.059,0.190)

<0.001

 Model2

0(ref.)

0.022(-0.041,0.084)

0.079(0.016,0.141)

0.106(0.043,0.169)

<0.001

Zn

 Model1

0(ref.)

0.087(0.022,0.151)

0.161(0.097,0.226)

0.307(0.242,0.371)

<0.001

 Model2

0(ref.)

0.089(0.027,0.151)

0.160(0.098,0.222)

0.288(0.226,0.351)

<0.001

Se

 Model1

0(ref.)

0.093(0.028,0.158)

0.145(0.080,0.210)

0.159(0.094,0.224)

<0.001

 Model2

0(ref.)

0.066(0.003,0.128)

0.137(0.075,0.200)

0.135(0.072,0.198)

<0.001

Mo

 Model1

0(ref.)

0.039(-0.026,0.103)

0.161(0.096,0.225)

0.244(0.179,0.308)

<0.001

 Model2

0(ref.)

0.048(-0.015,0.110)

0.159(0.096,0.221)

0.227(0.164,0.290)

<0.001

Cd

 Model1

0(ref.)

− 0.013(− 0.078,0.053)

− 0.042(− 0.107,0.023)

− 0.048(− 0.113,0.018)

0.103

 Model2

0(ref.)

− 0.005(− 0.068,0.058)

− 0.018(− 0.081,0.044)

0.007(− 0.056,0.070)

0.945

Te

 Model1

0(ref.)

0.027(-0.039,0.092)

0.102(0.037,0.168)

0.133(0.068,0.198)

<0.001

 Model2

0(ref.)

0.022(-0.041,0.085)

0.082(0.019,0.145)

0.093(0.030,0.156)

0.001

Tl

 Model1

0(ref.)

0.009(− 0.057,0.074)

0.075(0.009,0.140)

0.103(0.038,0.168)

<0.001

 Model2

0(ref.)

0.006(− 0.057,0.069)

0.054(− 0.009,0.117)

0.075(0.012,0.138)

0.007

Pb

 Model1

0(ref.)

− 0.048(− 0.113,0.017)

0.0002(− 0.065,0.066)

0.034(− 0.031,0.099)

0.155

 Model2

0(ref.)

− 0.037(− 0.100,0.025)

− 0.003(− 0.066,0.060)

0.021(− 0.042,0.083)

0.343

Sr

 Model1

0(ref.)

− 0.027(− 0.092,0.038)

− 0.018(− 0.083,0.047)

0.141(0.076,0.206)

<0.001

 Model2

0(ref.)

− 0.014(− 0.077,0.049)

− 0.019(− 0.081,0.044)

0.121(0.058,0.184)

<0.001

  1. Model 1, no adjustment.
  2. Model 2, adjusted for age, gender, BMI, smoking state, alcohol consumption, eating habit, exercise frequency, and hypertension based on Model1.