Table 2 Correlation between heavy metals and glaucoma based on generalized linear models a.

From: Machine learning prediction of glaucoma by heavy metal exposure: results from the National Health and Nutrition Examination Survey 2005 to 2008

Heavy metals

Model 1 b

Model 2

Model 3

β

Lower CIs

Upper CIs

β

Lower CIs

Upper CIs

β

Lower CIs

Upper CIs

Ba

-0.173

-0.368

0.020

-0.069

-0.271

0.131

-0.060

-0.257

0.136

Cd

0.123

-0.106

0.353

-0.063

-0.312

0.184

-0.054

-0.309

0.200

Co

0.067

-0.220

0.329

0.016

-0.283

0.294

0.078

-0.222

0.357

Cs

-0.238

-0.680

0.198

-0.404

-0.867

0.056

-0.453* c

-0.908

-0.001

Mo

0.001

-0.272

0.275

-0.099

-0.380

0.181

-0.128

-0.408

0.152

Pb

0.127

-0.150

0.400

-0.203

-0.512

0.096

-0.098

-0.407

0.203

Sb

-0.073

-0.373

0.212

0.081

-0.214

0.361

0.047

-0.245

0.325

Tl

-0.082

-0.465

0.286

0.149

-0.237

0.518

0.090

-0.288

0.452

Tu

-0.168

-0.398

0.056

-0.201

-0.438

0.031

-0.159

-0.394

0.071

Ur

0.098

-0.088

0.277

0.150

-0.036

0.331

0.184

-0.003

0.369

Pt

0.036

-0.315

0.273

-0.108

-0.497

0.156

-0.053

-0.433

0.208

Hg

-0.125

-0.316

0.064

-0.076

-0.275

0.120

-0.138

-0.347

0.069

As

-0.217

-0.677

0.221

-0.168

-0.639

0.284

-0.147

-0.608

0.293

As3

-1.765

-3.560

-0.056

-2.018*

-4.049

-0.124

-1.980

-4.071

-0.031

As5

-0.009

-1.566

1.230

0.271

-1.479

1.680

0.111

-1.599

1.498

AB

0.027

-0.174

0.235

-0.022

-0.230

0.192

-0.040

-0.243

0.169

AC

1.363**

0.626

2.078

1.104**

0.328

1.850

1.090**

0.313

1.835

DMA

0.266

-0.168

0.711

0.346

-0.085

0.791

0.300

-0.128

0.740

MMA

0.403

-0.088

0.886

0.463

-0.044

0.963

0.526*

0.017

1.028

TM

0.135

-1.535

1.376

0.309

-1.614

1.678

0.357

-1.697

1.792

  1. DMA, dimethylated arsenical; MMA, monomethylated arsenical; As3, arsenite III; As5, arsenate V; AB, arsenobetaine; AC, arsenochlorine; TM, thulium; CKD, chronic kidney disease; BMI, body mass index (calculated as weight in kilograms divided by height in meters squared); DM, diabetes mellitus; HEI, Healthy Eating Index; kcal, kilocalorie.
  2. a All serum heavy metal exposure levels were processed for logarithmic calculations.
  3. b Model 1 was not adjusted for any parameters, and in Model 2 with adjustment of age, sex, as well as in Model 3 further adjustments including age, sex, ethnicity (non-Hispanic white, non-Hispanic black, Mexican American, or other), educational level (less than high school, high school or above), marital status (married or living with partner, unmarried), poverty ratio (below the poverty line (< 1.00) or above the poverty line (≥ 1.00)), smoking history (current smoked, never smoked, former smoked), alcohol consumption history (mild, moderate, never drank, former drank, heavy drinking), total physical activity (minutes/day), BMI (kg/m2), history of diabetes (yes or no), hypertension (yes or no), hyperlipidemia (yes or no), chronic kidney disease (yes or no), and urinary creatinine level.
  4. c Statistically significant results are marked in bold (*: p<0.05; **: p<0.01).