Factors influencing the level of self

The aim of this study was to assess sociodemographic factors and factors connected with treatment of mental illness and to decide whether they can influence the level of self-stigma. Sociodemographic characteristics (age, gender, family status, level of employment, level of education) and characteristics related to illness and treatment (diagnosis, length of treatment, adherence to treatment) were gathered in a group of patients in stable mental condition, without acute symptoms of mental illness. Self-stigma was measured using the Self-stigma of Mental Illness Scale – short form (SSMIS-SF). The sample included 197 patients: 99 patients in group 1 (G1) with psychosis and 98 in group 2 (G2) with anxious and affective disorders. The average age was 44.15？±？12.91？years, the length of illness was 11.67？±？9.21？years and 48% of patients were men. The total average SSMIS-SF score was 61.54？±？23.34. We found no statistically significant difference in the total level of self-stigmatisation between these groups (t(197) = 0.77; p = .441). The level of self-stigmatisation (total score of SSMIS-SF) in patients in G1 (psychosis) increased with the length of illness r(99) = .253; p = .011. Employment status seems to correlate with the level of self-stigmatisation (F(3, 184) = 5.27; p = .002). Patients unemployed and on disability pension had higher levels of self-stigmatisation than patients working full-time. Patients who took medication regularly (full medical adherence) had lower scores of SSMIS-SF total scores in comparison with patients with lower compliance (t(195) = 3.476; p = .001; Cohen’s d = .25). According to our results, with regard to the factors that were followed, self-stigmatisation correlates with the presence of employment (social inclusion), duration of illness in patients with psychosis and treatment adherence. We did not find a statistically significant influence of age, gender, marital status or clinical diagnosis on the level of self-stigma