ID gender age diagnosis education TMT BDI BRMAS WMT wema m 45 patient 15 37 11 5 30 esse m 40 patient 16 40 9 6 28 mefr m 35 patient 14 35 12 4 32 amka m 47 patient 15 36 10 7 30 wieb m 43 patient 16 31 11 3 31 webe m 46 patient 15 40 12 4 29 gest m 41 patient 15 29 10 5 30 paxma m 37 patient 13 47 1 0 28 pchho w 32 patient 18 25 1 0 27 pcldo w 37 patient 15 23 20 0 33 phabe m 63 patient 16 43 4 0 34 phaho m 50 patient 17 31 26 0 34 phama m 49 patient 18 34 5 1 31 phewi w 33 patient 18 43 16 0 33 pirgr w 45 patient 14 48 21 0 31 pkiwe w 57 patient 17 58 20 0 27 pklhe m 60 patient 18 35 5 5 34 pklru m 65 patient 18 40 1 1 32 pmaha w 50 patient 15 28 0 0 33 pmobi w 61 patient 13 36 2 6 29 pvian w 40 patient 17 35 34 10 33 pyvbr w 33 patient 15 56 17 3 26 przlpu m 40 patient 13 40 26 0 27 fran m 50 controle 15 27 1 1 30 blhi w 33 controle 16 30 5 2 28 dast w 30 controle 15 22 3 2 30 atde m 28 controle 16 20 4 2 31 zoni m 40 controle 15 18 8 1 25 jere w 25 controle 15 30 2 3 29 lebe w 50 controle 13 25 2 1 34 oepe m 60 controle 17 27 8 1 31 huta w 26 controle 16 30 1 1 30 lure m 55 controle 13 20 1 3 29 caser m 40 controle 13 32 5 4 34 cifan m 47 controle 15 26 4 1 30 cdeth m 46 controle 17 29 5 1 29 cnzni w 37 controle 13 22 1 1 28 cbsla m 49 controle 15 27 6 2 31 cayan m 65 controle 14 26 4 2 32 cawla w 61 controle 13 19 4 2 36 cakfi m 40 controle 15 25 3 1 34 cdene m 40 controle 14 18 6 2 34 cbrre w 48 controle 18 42 0 4 30 cfrun m 49 controle 18 25 1 0 32 canaf w 47 controle 18 25 0 2 29 cbebr w 53 controle 18 36 1 3 33