Children of parents with a mental illness - stigma questionnaire: validation and revision

Mental disorders are often stigmatized in society. The stigma of mental illness affects people with a mental illness themselves as well as their family members-a phenomenon called stigma by association (SBA). Children of parents with a mental illness (COPMI) are a particular vulnerable group for SBA. In our systematic review, , , , and were identified as relevant stigma dimensions for children of parents with a mental illness. To assess SBA in adolescents who grow up with a parent with a mental illness, the COPMI-SQ was developed. = 930 adolescents completed the study. Of those, = 380 adolescents (sample 1; 72.6% female, mean age 17.12 ( = 2.01) years) reported growing up with at least one parent with a mental illness. Using confirmatory (CFA) and exploratory factor analyses (EFA) as well as standard item and reliability analyses, we analyzed and revised the COPMI-SQ in the first sample. To validate the factorial structure of the revised COPMI-SQ, CFA was also conducted in the independent sample of the other = 550 adolescents (sample 2; 80.0% female, mean age 16.36 ( = 1.98) years) who reported not growing up with a parent with a mental illness. To test four measurement invariance, a multiple-group CFA was conducted in the combined sample of adolescents who reported growing up with and without a parent with a mental illness (sample 1 and sample 2). CFA in sample 1 resulted in an inadequate model fit for the theoretically assumed four-factor structure (CFI = .687; RMSEA = .064 (90% CI = .062-.066); SRMR = .092; AIC = 229 155.63). Following EFA and item and reliability analyses in sample 1, the COPMI-SQ was reduced to four scales ("Experienced SBA," "Affiliate SBA," "Shame," and "Anticipated SBA") and two additional screening scales ("Healthcare" and "Social support"). To facilitate questionnaire use, only the three best items were retained in each scale, reducing the total item number to 12 plus five additional screener items. CFA in sample 2 also resulted in an inadequate model fit for the theoretically assumed four factor structure (CFI = .667; RMSEA = .065 (90% CI = .063-.066); SRMR = .101; AIC = 335 651.99). In comparison, the final version of the COPMI-SQ-r showed the best model fit (CFI = .945; RMSEA = .062 (90% CI = .052-.072); SRMR = .049; AIC = 60 008.05). In the multiple-group CFA (sample 1 and sample 2), metric invariance was established (χ (208) = 481.58, p < .001; CFI = .939; RMSEA = .053 (90% CI = .047-.059); SRMR = .056). In sample 2, interna