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. 2017 May 10;15:284–297. doi: 10.1016/j.nicl.2017.05.006

Table 2.

Age-standardized cognitive test scores in controls and FASD.

Test Mean ± SD
Regression analysisd
Control (n = 74) FASD (n = 70) Group Age Sex Age-by-group Sex-by-group
WRITa (age 4 +) General IQ 112 ± 13 (n = 74) 87 ± 18 (n = 45) β = 0.633
p < 0.001
--- --- --- ---
WRMT-Ra (age 5 +) Word ID 107 ± 13 (n = 74) 88 ± 16 (n = 69) β = 0.513
p < 0.001
β = − 0.319 p < 0.001 --- --- ---
WJa (age 5 +) Quantitative concepts 108 ± 13 (n = 74) 83 ± 14 (n = 65) β = 0.691
p < 0.001
--- --- --- ---
CREVTa (age 5 +) Receptive & expressive composite 102 ± 10 (n = 74) 84 ± 12 (n = 50) β = 0.620
p < 0.001
--- --- --- ---
NEPSY/DKEFSb (age 5 +) Executive function composite 10.2 ± 2.2 (n = 74) 7.3 ± 3.0 (n = 66) β = 0.335
p < 0.001
--- --- β = 0.280
p = 0.001
---
RCFTc (age 6 +) Immediate recall 47 ± 12 (n = 71) 36 ± 14 (n = 33) --- β = − 0.355
p = 0.011
--- β = 0.681
p < 0.001
---
Delayed recall 47 ± 11 (n = 71) 36 ± 15 (n = 33) --- β = − 0.364
p = 0.011
--- β = 0.645
p < 0.001
---
Recognition 51 ± 13 (n = 71) 48 ± 15 (n = 33) --- --- --- --- ---
WMTB-Ca (5-15 years) Digit 98 ± 16 (n = 59) 86 ± 13 (n = 43) β = 0.352
p < 0.001
--- --- --- ---
Block 98 ± 16 (n = 59) 83 ± 15 (n = 41) β = 0.438
p < 0.001
--- --- --- ---

WRIT = Wide Range Intelligence Test; WRMT-R = Woodcock Reading Mastery Test- Revised; WJ = Woodcock Johnson; CREVT = Comprehensive Receptive and Expressive Vocabulary Test; NEPSY = A NEuroPSYchological Assessment; DKEFS = Delis Kaplan Executive Function System; RCFT = Rey Complex Figure Task; WMTB-C = Working Memory Test Battery for Children.

a

Standard score, population mean = 100 ± 15 (higher score = better performance).

b

Scaled score, population mean = 10 ± 3 (higher score = better performance).

c

T score, population mean = 50 ± 10 (higher score = better performance).

d

Only variables included in the final model are shown here with associated β statistics and corrected p-values. Variables excluded from final model are indicated with ‘---’. Note that final models are unique to each test, thus β values for a given variable cannot be quantitatively compared across tests.