Background and Objectives: Prevalence data of different classes of negative symptoms in an inpatient setting are scarce. Most of the data are collected in clinical trials under strict inclusion criteria, using older psychometric scales with known content validity flaws. The objectives of this study were to report the prevalence of different classes of negative symptoms in a naturalistic inpatient setting using both older and newer psychometric scales and to determine whether second-generation psychometric scales were not inferior to older scales in detecting negative symptoms. Materials and Methods: Negative symptoms were evaluated using older-generation (Positive and Negative Symptoms Scale, PANSS) and second-generation (Brief Negative Symptoms Scale, BNSS, and Self-Evaluation of Negative Symptoms Scale, SNS) measures. Primary, prominent, core, and predominant negative symptoms were calculated according to various descriptions used in other studies. Results: A total of 323 participants were included in this study. The mean score of the PANSS negative symptoms subscores was 25.33 (SD = 6.86, 95% CI 24.57–26.09), the mean total BNSS score was 36.48 (SD = 15.93, 95% CI 34.74–38.23), and the mean SNS total score was 18,9 (SD = 8.99, 95% CI 17.91–19.89). The prevalence of primary negative symptoms was similar in all groups. PANSS and BNSS categorized 71% of the sample as having prominent negative symptoms. The average prevalence of predominant negative symptoms, as measured by PANSS and BNSS, was 9.6%, whereas SNS reported 10.5%. Conclusions: Negative symptoms were highly prevalent in our inpatient sample. Most of our participants had primary and prominent negative symptoms; however, only a small fraction met the criteria for predominant negative symptoms. Prevalence data were similar between PANSS, BNSS, and SNS, showing that BNSS and SNS are not inferior to PANSS.

Background/Objectives: Identifying the factor most strongly associated with patients’ quality of life (QoL) is crucial for establishing treatment goals focused on improved recovery. This study aimed to determine whether sociodemographic factors, negative, or depressive symptoms have the strongest association with QoL. Methods: Inpatients diagnosed with schizophrenia were recruited. We collected data on sociodemographic factors, asked patients to rate their well-being on a subjective well-being scale, and evaluated their psychopathology using observer-rated psychometric scales (Positive and Negative Symptoms Scale (PANSS), Brief Negative Symptoms Scale (BNSS), and Calgary Depression Scale for Schizophrenia (CDSS) as well as self-rated scales (Self-evaluation Negative Symptoms Scale (SNS). QoL was evaluated using Short-Form 36 (SF-36). Patients were also divided into primary, prominent, and predominant negative symptom groups. We conducted correlation and linear regression analyses to identify which factors were most strongly associated with QoL. Results: In this study, 323 participants were included. The CDSS total score showed the strongest correlation with QoL scores, followed by negative symptoms assessed with the SNS. Positive and negative symptoms, assessed using either the PANSS or the BNSS, showed weak or insignificant correlations with QoL. Among sociodemographic factors, the subjective well-being score, previous history of hospitalization, or suicide attempts had the strongest correlation with QoL. CDSS scores were the variable with the strongest independent association with QoL in regression analysis. Conclusions: Depressive symptom severity showed the strongest and most consistent association with QoL across both correlation and multivariable analyses. These findings are hypothesis-generating and require longitudinal confirmation.