Table 2 Results of the logistic regression analysis evaluating the association between cognitive impairment status and participant characteristics. For the dichotomised variables, the continuous predictors were transformed based on the optimal cut-offs previously identified via ROC analysis, with greater severity coded as positive. Age adjusted for education, all other predictors adjusted for age and education level. Sample size is displayed for each variable due to the absence of data for some cases

Age

Continuous

89

0.069

1.07 (1.00 – 1.15)

.050

Dichotomised (64yrs)

1.426

4.16 (1.41 – 12.30)

.010

AHI

Continuous

88

0.017

1.02 (0.99 – 1.04)

.209

Dichotomised (26events/hr)

0.686

1.99 (0.75 – 5.27)

.168

Arousal Index

Continuous

86

0.045

1.05 (1.01 – 1.08)

.008

Dichotomised (28 events/hr)

1.735

5.67 (1.84 – 17.53)

.003

Mean SpO₂

Continuous

81

-0.212

0.81 (0.64 – 1.03)

.079

Dichotomised (92%)

1.258

3.52 (1.17 – 10.55)

.025

ODI

Continuous

76

0.026

1.03 (1.00 – 1.055)

.068

Dichotomised (27 events/hr)

1.323

3.75 (1.24 – 11.37)

.019

T90

Continuous

76

0.035

1.04 (1.00 – 1.07)

.044

Dichotomised (9%)

1.152

3.16 (1.01 – 9.89)

.048

ESS

Continuous

89

0.035

1.04 (0.94 – 1.14)

.497

Dichotomised (12)

0.828

2.29 (0.81 – 6.44)

.117

Memory Complaint

85

-0.663

0.52 (0.19 – 1.41)

.197

Concentration Complaint

78

-0.728

0.48 (0.15 – 1.52)

.212