Table 1. Demographic and medical characteristics of the study participants.

Participant ID	Sex	Years of age	Date of injury	Cause of injury	Level of injury	Injury type	Living area	Educational or work status at/before injury	Highest level of education at interviews	Current working situation
P1	Male	45	2001.09	Traffic accident	Paraplegia	Incomplete	Urban	PhD student	Post-graduate studies	Volunteer work
P2	Female	25	2010.08	Traffic accident	Tetraplegia	Incomplete	Urban	Student	Vocational education	Volunteer work
P3	Male	36	2008.03	Work accident	Paraplegia	Complete	Urban	Unemployed	Secondary school	Unemployed
P4	Female	29	2007.10	Traffic accident	Tetraplegia	Incomplete	Urban	Just after graduation	Vocational education	Unemployed
P5	Male	39	2009.12	Traffic accident	Tetraplegia	Incomplete	Urban	Employed	Vocational education	Unemployed
P6	Male	33	2001.07	Traffic accident	Paraplegia	Incomplete	Urban	Employed	Secondary school	Unemployed
P7	Male	36	2001.04	Medical error	Paraplegia	Complete	Urban	Student	Post-graduate studies	Self-employed
P8	Female	34	2003.07	Traffic accident	Paraplegia	Incomplete	Urban	Employed	Secondary school	Unemployed
P9	Female	40	2008.04	Traffic accident	Tetraplegia	Complete	Rural	Employed	University	Unemployed
P10	Female	28	2011.09	Traffic accident	Paraplegia	Complete	Rural	Employed	University	Unemployed
P11	Male	45	2003.01	Traffic accident	Paraplegia	Incomplete	Rural	Employed	University	Self-employed
P12	Female	31	2009.04	Hiking	Paraplegia	Complete	Rural	Employed	University	Unemployed
P13	Male	34	2003.09	Traffic accident	Paraplegia	Complete	Rural	Just after graduation	University	Self-employed
P14	Female	27	2010.09	Traffic accident	Paraplegia	Complete	Rural	Student	University	Unemployed
P15	Male	40	2001.11	Violence	Paraplegia	Incomplete	Rural	Student	Secondary school	Unemployed
P16	Male	36	2008.12	Traffic accident	Tetraplegia	Complete	Rural	Self-employed	University	Self-employed