<p>Minor Physical Anomalies Among Schizophrenic Patients as a Biomarker of Its Developmental Origin in Northwest Ethiopia</p>

Abstract

Purpose Although there are highly precise and advanced diagnostic methods, the etiology and pathophysiology of schizophrenia remain poorly understood. There are several theories about schizophrenia origin, among which the neurodevelopmental theory is widely accepted. Our study aimed to assess minor physical anomalies among schizophrenic patients as putative indices of its developmental origin in North West Ethiopia 2018–2019. Patients and Methods Institutional-based comparative cross-sectional study design was conducted in Debre Markos comprehensive, specialized hospitals in 190 schizophrenic patients, 190 healthy controls, and 190 1st-degree relatives. Data were collected using standard methods, entered into EpiData version 3.1, and exported to SPSS version 24 for analysis. Descriptive data were analyzed using descriptive statistics, and discriminant function analysis was conducted and a value of 0.03 was taken as the cutoff point for prediction of group status of the study samples. Results Five hundred seventy study samples, male 375 (65.8%), and female 195 (34.2%), were included in this study. The discriminate function 1 and 2 revealed a significant association between groups and all predictors, accounting for 83.5% and 16.5% of between-group variability, respectively. However, closer analysis of the structure matrix revealed longitudinally furrowed tongue, ≥Five palate ridges, high steeples palate, transversely and randomly furrowed tongue, protruding supraorbital ridge as significant predictors. Conclusion Depending on predictor variables in this study, minor physical anomalies can serve as a biomarker for early screening of schizophrenic patients and clue for its developmental origin.

Comparative Analysis between Quality of Life and Human Labor in Countries Belonging to G7 and BRICS Blocks: Proposition of Discriminant Analysis Model

“…The structure model helps to present the association of each variable with each discriminant function (Tsehay and Shitie 2020). SPSS was used for practical applications.…”