“…In light of high prevalence of unemployment, previous studies have aimed at investigating factors that predict poor vocational status in this group of patients. Inconsistent results indicate that such demographic variables as gender ( Beiser et al, 1994 ; Harrison, Croudace, Mason, Glazebrook, & Medley, 1996 ; McCreadie, 1982 ; Ran et al, 2011 ; Ucok et al, 2012 ), educational attainment ( Cougnard, Goumilloux, Monello, & Verdoux, 2009 ), previous work history ( Mueser, Salyers, & Mueser, 2001 ; Schennach-Wolff, Musil, Moller, & Riedel, 2012 ), marital status ( Evert, Harvey, Trauer, & Herrman, 2003 ; Loganathan & Murthy, 2011 ; Midin et al, 2011 ; Srinivasan & Thara, 1997 ) and rural or urban environment ( Munk-Jorgensen & Mortensen, 1992 ; Yang et al, 2013 ) are associated with vocational outcome. In turn, the following clinical factors have been found to increase unemployment rates: severity of negative symptoms ( Erickson, Jaafari, & Lysaker, 2011 ; Marwaha et al, 2009 ; Schennach-Wolff et al, 2009 ), impaired insight ( Erickson et al, 2011 ), cognitive dysfunction ( Tsang, Leung, Chung, Bell, & Cheung, 2010 ), duration of untreated psychosis ( Chang et al, 2012 ) and older age of schizophrenia onset ( Ran et al, 2011 ), comorbid metabolic syndrome ( Medeiros-Ferreira, Obiols, Navarro-Pastor, & Zuniga-Lagares, 2013 ) and the number ( Lay, Blanz, Hartmann, & Schmidt, 2000 ) and duration ( Nordt, Muller, Rossler, & Lauber, 2007 ) of hospitalizations.…”