Table 4 Results of the multiple linear regression model and goodness-of-fit statistics of the different acuity models for the Rasch calibrated NEI VFQ-25 composite scores.

From: Impacts of monocular, binocular, and functional visual acuity on vision-related quality of life in patients with type 2 diabetes

Visual acuity

R2

AIC

BIC

Beta (95% CI)

p

Relative change %

All diabetes (n = 90)

Both eyes

0.276

512.4

532.0

− 37.8 (− 54.9 to − 20.8)

< 0.001*

Reference

Better eye

0.233

517.3

536.9

− 31.7 (− 48.5 to − 14.9)

< 0.001*

16.1

FAS-C

0.253

515.1

534.7

− 32.5 (− 48.5 to − 16.6)

< 0.001*

14.0

AMA-1

0.231

517.6

537.3

− 28.5 (− 43.8 to − 13.2)

< 0.001*

24.6

AMA-2

0.259

514.4

534.0

− 33.9 (− 50.2 to − 17.7)

< 0.001*

10.3

No-DR diabetes (n = 48)

Both eyes

0.147

260.9

275.6

− 11.0 (− 47.9 to 25.8)

0.548

Reference

Better eye

0.141

270.4

285.0

− 5.2 (− 36.8 to 26.4)

0.743

52.7

FAS-C

0.148

270.0

284.6

− 9.3 (− 38.8 to 20.1)

0.525

15.5

AMA-1

0.144

270.2

284.8

− 7.0 (− 34.9 to 20.9)

0.615

36.4

AMA-2

0.148

270.0

284.6

− 9.8 (− 40.7 to 21.2)

0.525

10.9

DR diabetes (n = 42)

Both eyes

0.480

250.0

263.6

− 50.4 (− 73.0 to − 27.7)

< 0.001*

Reference

Better eye

0.446

252.5

266.0

− 47.5 (− 70.7 to − 24.3)

< 0.001*

5.8

FAS-C

0.414

254.8

268.3

− 42.7 (− 65.4 to − 20.0)

0.001*

15.3

AMA-1

0.390

256.4

269.9

− 39.3 (− 61.6 to − 17.0)

0.001*

22.0

AMA-2

0.430

253.7

267.2

− 44.7 (− 67.4 to − 21.9)

< 0.001*

11.3

  1. AIC Akaike information criterion, BIC Bayesian information criterion, DR diabetic retinopathy, FVS-C functional acuity score developed by Colenbrander, AMA-1 early version of FAS algorithm developed by the American Medical Association, AMA-2 new version of FAS algorithm developed by the American Medical Association. *Indicates significant p values (p < 0.05).
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