BackgroundThis study cross-validated the factor structure of the Self-Stigma Scale-Short (SSS-S) in a cohort of patients with mental illness in southern Taiwan. The measurement invariance of the SSS-S factor structure across mental illness and gender was also examined.MethodsThe sample consisted of 161 patients with schizophrenia (51.6% males; mean age ± SD = 40.53 ± 10.38 years) and 189 patients with other mental illnesses (34.9% males; mean age = 46.52 ± 11.29 years).ResultsThe internal reliability (total score: α = 0.948) and concurrent validity (r = 0.335 to 0.457 with Depression and Somatic Symptoms Scale; r = −0.447 to −0.556 with WHOQOL-BREF) of the SSS-S were both satisfactory, and the results verified that the factor structure in our Taiwan sample (RMSEA = 0.0796, CFA = 0.992) was the same as that of the Hong Kong population. In addition, the results supported the measurement invariance of the SSS-S across mental illness (ΔRMSEAs = −0.0082 to −0.0037, ΔCFAs = 0.000) and gender (ΔRMSEAs = −0.0054 to −0.0008, ΔCFAs = −0.001 to 0.000).ConclusionFuture studies can use the SSS-S to compare self-stigma between genders and between patients with different kinds of mental illnesses.

Internalized stigma (or self-stigma), one of the most painful effects of stigma, causes people with mental health problems profound negative consequences, for example, psychological adversity, demoralization, and feelings of hopelessness. However, knowledge about self-stigma in people with different mental disorders is insufficient. We hypothesized that people with different psychiatric diagnoses have different levels of self-stigma. Through convenience sampling, we used the Internalized Stigma of Mental Illness Scale to compare people diagnosed with schizophrenia (n = 161), depressive disorder (n = 98), bipolar disorder (n = 43), and anxiety disorder (n = 45) in southern Taiwan. We found that people with schizophrenia (mean, 2.09-2.30) and those with bipolar disorder (mean, 2.16-2.38) had significantly higher levels of self-stigma, except for the Stigma Resistance, than did those with anxiety disorder (mean, 1.74-1.87). Our results suggest that clinicians should use different interventions to reduce self-stigma for populations with different psychiatric diagnoses.

BackgroundThe current investigation examined the psychometric properties of the Internalized Stigma of Mental Illness (ISMI) scale in a sample of patients with mental illness. In addition to the internal consistency, test-retest reliability, and concurrent validity that previous studies have tested for the ISMI, we extended the evaluation to its construct validity and measurement invariance using confirmatory factor analysis (CFA).MethodsThree hundred forty-seven participants completed two questionnaires (i.e., the ISMI and the Depression and Somatic Symptoms Scale [DSSS]), and 162 filled out the ISMI again after 50.23±31.18 days.ResultsThe results of this study confirmed the frame structure of the ISMI; however, the Stigma Resistance subscale in the ISMI seemed weak. In addition, internal consistency, test-retest reliability, and concurrent validity were all satisfactory for all subscales and the total score of the ISMI, except for Stigma Resistance (α = 0.66; ICC = 0.52, and r = 0.02 to 0.06 with DSSS). Therefore, we hypothesize that Stigma Resistance is a new concept rather than a concept in internalized stigma. The acceptable fit indices supported the measurement invariance of the ISMI across time, and suggested that people with mental illness interpret the ISMI items the same at different times.ConclusionThe clinical implication of our finding is that clinicians, when they design interventions, may want to use the valid and reliable ISMI without the Stigma Resistance subscale to evaluate the internalized stigma of people with mental illness.

Intracranial aspergillosis of the lateral ventricle is a rare condition and has not been reported in a schizophrenic patient. We report a 39-year-old male patient with underlying schizophrenia and a rapid deterioration of consciousness. Initial cranial computed tomographic images revealed focal dilatation of the posterior part of the right lateral ventricle with a severe mass effect and midline shift. The patient received an emergency endoscopic ventriculostomy, and the resected mass was proven to be aspergillus. The patient was postoperatively treated by prolonged external ventricular drainage and antifungal medication, with no recurrence of aspergillosis at the 12-month follow-up.

Endocrine-active chemicals can directly act on nuclear receptors and trigger the disturbances of metabolism and a homeostatic system, which are important risk factors for complicating chronic diseases in humans. The endocrine-active potentials of pesticides acting on estrogen, androgen, and thyroid hormone receptors have been extensively evaluated for pesticides; however, the effects on other receptors are less understood. This study aims to comprehensively characterize and prioritize the endocrine-active pesticides using an exposure–activity ratio (EAR) method and toxicological prioritization index (ToxPi). The aggregate exposure assessment of pesticides was performed using a computational exposure model [stochastic human exposure and dose simulation high-throughput model (SHEDS-HT)]. Minimum in vitro point of departure values were converted to human oral equivalent doses via in vitro-to-in vivo extrapolation. The overall endocrine-disrupting potentials of pesticides were evaluated via 76 assays, representing 11 nuclear receptors. EARs and ToxPi scores were then derived to prioritize 79 pesticides in food. This case study demonstrates that EAR profiling can inform the regulatory agencies for a relevant chemical prioritization, which would direct in-depth health risk assessments in the future.