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Table 6 Multivariable analysis

From: Effects of antipsychotic and anticholinergic medications on cognition in chronic patients with schizophrenia

 

UB

SB

p-value

CI

Lower

Upper

Model 1: linear regression taking the BACS total score as the dependent variable

 ADS

-.084

-.218

.028

-.159

-.009

 Chlorpromazine equivalent dose

-.0003

-.307

.001

-.001

-.00001

 Number of antipsychotics

.195

.150

.176

-.089

.480

 Mood stabilizer medications (Yes vs. No*)

-.579

-.245

.004

-.967

-.192

Adjusted R2: .313

Model 2: linear regression taking the Verbal memory score as the dependent variable

 ADS

-.048

-.143

.195

-.121

.025

 Chlorpromazine equivalent dose

-.0001

-.207

.041

-.0003

-.00008

 Number of antipsychotics

.042

.037

.765

-.235

.319

 Mood stabilizer medications (Yes vs. No*)

-.182

-.088

.341

-.558

.195

Adjusted R2: .214

Model 3: linear regression taking the Working memory score as the dependent variable

 ADS

-.043

-.112

.288

-.124

.037

 Chlorpromazine equivalent dose

-.0002

-.225

.021

-.0004

-.00003

 Number of antipsychotics

.293

.225

.060

-.013

.599

 Mood stabilizer medications (Yes vs. No*)

-.504

-.213

.018

-.920

-.088

Adjusted R2: .170

Model 4: linear regression taking the Motor speed score as the dependent variable

 ADS

-.084

-.256

.011

-.149

-.019

 Chlorpromazine equivalent dose

-.0003

-.394

 < .001

-.0005

-.0001

 Number of antipsychotics

.105

.095

.397

-.141

.351

 Mood stabilizer medications (Yes vs. No*)

-.306

-.152

.072

-.641

.028

Adjusted R2: .291

Model 5: linear regression taking the Verbal fluency score as the dependent variable

 ADS

-.038

-.125

.264

-.106

.029

 Chlorpromazine equivalent dose

-0.0008

-.106

.297

-.0002

.00008

 Number of antipsychotics

.070

.067

.592

-.189

.329

 Mood stabilizer medications (Yes vs. No*)

-.436

-.231

.016

-.788

-.083

Adjusted R2: .109

Model 6: linear regression taking the Attention and speed of information processing score as the dependent variable

 ADS

-.047

-.124

.238

-.125

.031

 Chlorpromazine equivalent dose

-.0002

-.219

.024

-.0004

-.00002

 Number of antipsychotics

.111

.087

.462

-.186

.407

 Mood stabilizer medications (Yes vs. No*)

-.652

-.283

.002

-1.056

-.248

Adjusted R2: 0.211

Model 7: linear regression taking the Executive function score as the dependent variable

 ADS

-.145

-.216

.041

-.283

-.006

 Chlorpromazine equivalent dose

-.0003

-.198

.040

-.001

-.00001

 Number of antipsychotics

.672

.297

.013

.144

1.200

 Mood stabilizer medications (Yes vs. No*)

-.804

-.196

.030

-1.523

-.086

Adjusted R2: .217

  1. The models were adjusted for gender, education level, age, illness length, total PANSS score, and depression
  2. Mood stabilizer: lithium carbonate and Antiepileptics: valproic acid, carbamazepine, pregabalin, topiramate, phenytoin
  3. UB Unstandardized beta, SB Standardized beta, CI Confidence interval