Table 3.

DFAR scores’ prediction by case/control status

ModelCase/control status
BSE95% CIP value
DFAR totala−3.20.6−4.3 to −2.1<.001
DFAR totalb−1.50.6−2.7 to −0.3.013
DFAR neutrala−2.90.9−4.6 to −1.2.001
DFAR neutralb−0.60.9−2.4 to 1.2.506
DFAR happya−0.90.6−2.2 to 0.4.160
DFAR happyb0.30.7−1 to 1.7.639
DFAR feara−5.10.9−6.9 to −3.1<.001
DFAR fearb−3.31.1−5.3 to −1.2.002
DFAR angera−3.91−5.9 to −1.9<.001
DFAR angerb−2.31.1−4.6 to −0.1.041
ModelCase/control status
BSE95% CIP value
DFAR totala−3.20.6−4.3 to −2.1<.001
DFAR totalb−1.50.6−2.7 to −0.3.013
DFAR neutrala−2.90.9−4.6 to −1.2.001
DFAR neutralb−0.60.9−2.4 to 1.2.506
DFAR happya−0.90.6−2.2 to 0.4.160
DFAR happyb0.30.7−1 to 1.7.639
DFAR feara−5.10.9−6.9 to −3.1<.001
DFAR fearb−3.31.1−5.3 to −1.2.002
DFAR angera−3.91−5.9 to −1.9<.001
DFAR angerb−2.31.1−4.6 to −0.1.041

Note: DFAR, degraded facial affect recognition.

aAdjusted for age, sex, ethnicity, BFRT score.

bAdjusted for age, sex, ethnicity, BFRT score, IQ. Models were random-intercept models that included one random effect to allow DFAR scores to vary across countries.

Table 3.

DFAR scores’ prediction by case/control status

ModelCase/control status
BSE95% CIP value
DFAR totala−3.20.6−4.3 to −2.1<.001
DFAR totalb−1.50.6−2.7 to −0.3.013
DFAR neutrala−2.90.9−4.6 to −1.2.001
DFAR neutralb−0.60.9−2.4 to 1.2.506
DFAR happya−0.90.6−2.2 to 0.4.160
DFAR happyb0.30.7−1 to 1.7.639
DFAR feara−5.10.9−6.9 to −3.1<.001
DFAR fearb−3.31.1−5.3 to −1.2.002
DFAR angera−3.91−5.9 to −1.9<.001
DFAR angerb−2.31.1−4.6 to −0.1.041
ModelCase/control status
BSE95% CIP value
DFAR totala−3.20.6−4.3 to −2.1<.001
DFAR totalb−1.50.6−2.7 to −0.3.013
DFAR neutrala−2.90.9−4.6 to −1.2.001
DFAR neutralb−0.60.9−2.4 to 1.2.506
DFAR happya−0.90.6−2.2 to 0.4.160
DFAR happyb0.30.7−1 to 1.7.639
DFAR feara−5.10.9−6.9 to −3.1<.001
DFAR fearb−3.31.1−5.3 to −1.2.002
DFAR angera−3.91−5.9 to −1.9<.001
DFAR angerb−2.31.1−4.6 to −0.1.041

Note: DFAR, degraded facial affect recognition.

aAdjusted for age, sex, ethnicity, BFRT score.

bAdjusted for age, sex, ethnicity, BFRT score, IQ. Models were random-intercept models that included one random effect to allow DFAR scores to vary across countries.

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