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. 2016 May 16;11(5):e0155480. doi: 10.1371/journal.pone.0155480

Table 2. The predictive power of variables of interest for new GL ocurrence*.

Risk factors for GL GL incidence GL recurrence
OR 95% CI p1 OR 95% CI p2
Demographic data
 Age (per year decrement) 1.04 .983~1.09 .184 1.09 1.03~1.13 .002
 Male vs. female 1.95 .715~5.31 .192 1.42 .501~4.01 .511
 Years of education (per year increment) .940 .850~1.04 .235 .979 .883~1.09 .694
MMSE (per point increment) a .862 .770~.965 .010 1.01 .926~1.10 .812
CASI subscales (per point increment) a,
 Remote memory .732 .576~.930 .011 .996 .795~1.25 .971
 Recent memory .838 .707~1.02 .062 1.03 .900~1.18 .676
 Attention .883 .635~1.23 .462 .845 .623~1.15 .280
 Mental manipulation .881 .743~1.05 .147 .960 .819~1.13 .612
 Orientation .824 .733~.926 .001 1.00 .920~1.10 .934
 Abstract thinking .651 .486~.873 .004 .997 .781~1.27 .983
 Language .795 .628~1.06 .066 1.04 .810~1.33 .754
 Visual construction .907 .771~1.07 .237 .954 .804~1.13 .590
 Verbal fluency .735 .588~.919 .007 1.05 .866~1.28 .609
QuENA-C (per point increment) a
 Landmark and scene agnosia 1.62 1.21~2.17 .001 .983 .826~1.17 .852
 Egocentric disorientation 1.68 1.19~2.37 .003 1.13 .892~1.43 .312
 Inattention 2.46 1.55~3.90 .000 1.02 .812~1.27 .891
 Heading disorientation 1.36 1.01~1.81 .040 1.04 .880~1.23 .636
Self-awareness a
 Discrepancy score (per point increment) 1.15 1.05~1.27 .004 .981 .921~1.04 .543
 No safety range vs. with safety range 1.23 .447~3.41 .685 3.36 1.07~10.53 .037
Egression behavior a
 Days out per week (per day increment) .920 .784~1.08 .307 1.18 .960~1.30 .152
 Restriction of transport vs. R4
  R3 .405 .117~1.40 .154 2.29 .743~7.05 .194
  R2 .640 .121~3.40 .600 3.85 .843~20.14 .062
  R1 .390 .101~1.50 .172 1.93 .470~5.34 .306

Abbreviations: GL = getting lost; OR = odds ratio; QuENA = Questionnaire of Everyday Navigational Ability; R4 = escorted by caregivers when going out; R3 = can only go out alone on foot; R2 = can still cycle a bike around the area; R1 = can still operate a motorbike or car; p1 = p value within GL incidence; p2 = p value within GL recurrence.

a Adjusted for age, sex, and years of education.

*The predictors were entered into each model seperately.