Table 2: Comparison by univariate analysis between the sample study and two community normative samples.

Research
Sample
Normative Sample
SF-12*
Comparison Normative Sample
PHQ-9**
Comparison
Age 18-30 85 (16.3%) 540 (23.1%) Χ2=11.62 P<0.001 302 (20.15) Χ2= 3.59 P=0.049
 31-40 98 (18.85) 386 (16.6%) Χ2=1.07 P=0.30 255 (17.0%) Χ2=0.59 P=0.440
 41-50 161 (31.0%) 416 (18.0%) Χ2=45.02 P<0.0001 272 (18.1%) Χ2=37.91 P<0.0001
 > 50 176 (33.8%) 985 (42.2%) Χ2=73.81 P<0.0001 673 (44.8%) Χ2=14.75 P<0.0001
Gender Female 346 (66.3%) 1320 (56.9%) Χ2=375.3 P<0.0001 774 (51.5%) Χ2=228.7 P<0.0001
 Score SF-12 ≤<36 222 (42.7%) 551 (23.6%) X2=78.2,P<0.0001
OR=2.40;
Cl95% 1.96-2.94
// //
 Score SF-12 < 36
(after indirect standardization)
222 (42.7%) 606 (25.9%) X2=67.76, P<0.0001
OR=2.18;
Cl95% 1.78-2.67
// //
 Score PHQ-9 >8 173 (33.2%) // // 197 (13.1%) X2=164,8 P<0.0001
OR=4.60;
Cl95% 3.57-5.92
 Score PHQ-9 >8
(after indirect standardization)
173
(33.3%)
// // 221
(14.1%)
X2=85,07 P<0.0001
OR=2.89; Cl95%
2.89-3.66

*Carta et al. 2012
** Moro et al. 2015