Homicide in Relation to Mental Illness: Stigma Versus Reality.

This narrative review examines different aspects of homicide among mentally ill individuals to compare the rates of homicide by offenders with and without mental illness and investigate the stigma of mental illness and its consequences. It also evaluates the motives of mentally ill perpetrators and their characteristics and explores weapons of choice in homicides related to different mental disorders. Studies confirmed higher homicide rates among specific categories of mentally ill individuals who experienced maltreatment, unemployment, abuse in childhood, and substance abuse resulting from stigma and discrimination. The motives were mainly revenge, argument, financial gain, sexuality, sadism, and filicide, with revenge being the top motive. Offenders were found to have close relationships with their victims in most cases. Sharp instruments were the most commonly used weapons. Our review confirms the lack of evidence linking mental illness independently with homicide, both globally and in Arab countries, and highlights the impact of discrimination toward mentally ill individuals. This discrimination and stigma lead to delayed care-seeking and self-destructive behavior, which is linked to higher homicide rates among persons with and without mental illness.

Family, Individual, and Other Risk Factors Contributing to Risk of Substance Abuse in Young Adults: A Narrative Review.

Substance use disorder and the availability of certain over-the-counter drugs are worldwide issues that affect many individuals, both mentally and physically. As a result, the frequent use of this substance can lead to substance abuse. This phenomenon is also becoming more prevalent with time, and it does not differentiate between genders, ages, races, or religions. This review aimed to provide an overview of studies related to substance abuse, the individuals who tend to abuse these substances, and their risk factors. We also aimed to discuss, identify, and analyze the factors that increase the risk of substance abuse among young adults. We performed a thorough search for related studies using PubMed to provide a comprehensive review of the risk factors and side effects experienced by young adults. The selected indexing terms included "substance abuse,""risk factors," and "personality traits," among others. Information was gathered from relevant peer-reviewed publications, and thereafter refined, and summarized.

Multi-perspective clustering of obstructive sleep apnea towards precision therapeutic decision including craniofacial intervention.

PURPOSE: Previous studies focusing on phenotyping obstructive sleep apnea (OSA) have outlined its heterogeneity in clinical symptoms, comorbidities, and polysomnographic features. However, the role of anatomical or pathophysiological causality including craniofacial skeletal deformity has not been studied. We aimed to identify and characterize phenotypes of OSA based on multi-perspective clustering by incorporating craniofacial risks with obesity, apnea severity, arousability, symptom, and comorbidity. METHODS: A total of 421 Korean patients with OSA (apnea-hypopnea index, AHI ≥ 5; age ≥ 20 years old) were recruited. A K-means cluster analysis was performed following principal component analysis with sagittal and vertical skeletal variables (ANB and mandibular plane angle), AHI, body mass index, and Epworth sleepiness scale. Inter-cluster comparison was conducted using demographic, cephalometric, and polysomnographic variables in addition to presence of diabetes and hypertension. Risk factors contributing to OSA severity were evaluated in each cluster using multivariable regression analysis with adjustment for age and gender. RESULTS: Three phenotypic clusters were identified and characterized as follows: Cluster-1 (noncraniofacial phenotype, 39%), non-obese moderate-to-severe OSA with no skeletal discrepancy representing low arousal threshold (ArTh), little sleepiness, and low comorbidity; Cluster-2 (craniofacial skeletal phenotype, 33%), non-obese moderate OSA with definite skeletal discrepancy showing low ArTh, mild sleepiness, and low comorbidity; and Cluster-3 (complicated phenotype, 28%), obese severe OSA with skeletal discrepancy exhibiting high ArTh, excessive daytime sleepiness, and high incidence of hypertension. CONCLUSIONS: The three OSA phenotypes from multi-perspective clustering may provide a basis for precise therapeutic decision-making including craniofacial skeletal intervention beyond usual characterization of OSA subgroups.

Determinants of Subjective Poor Sleep Quality in Social Media Users Among Freshman College Students.

INTRODUCTION: Social media (SM) usage has increased markedly among young adults. It is linked to poor sleep quality (PSQ), a risk factor for mental and physical health concerns. This study identified the determinants of PSQ in SM users among freshman college students. MATERIAL AND METHODS: A cross-sectional design was used and 842 students completed a self-administered questionnaire. Analyses were performed using the χ 2 test to examine differences in the characteristics of poor and good sleepers and logistic regression to estimate the risk of PSQ with reference to SM usage patterns. RESULTS: Around 75.40% (n = 635) of the participants had PSQ. There was a significant difference in the PSQ rate between males (66.3%) and females (79.3%, p < 0.001), those who were physically active (67.2%) and those who were not (82.4%, p < 0.001), those who were mentally depressed (86.5%) and those who were not (61.5%, p < 0.001), and those with anxiety (87.8%) and those without (64.3%, p < 0.001). The risk of PSQ was lower among students who used SM for education (OR = 0.65, CI = 0.42 to 0.99, p = 0.048), had higher laptop usage (OR = 0.67, CI = 0.47 to 0.96, p = 0.03), and had higher SM usage during daytime (OR = 0.46, CI = 0.32 to 0.67, p < 0.001). The risk of PSQ was higher among those who reported SM usage at bedtime (OR = 1.69, CI = 1.01 to 2.81, p = 0.046). DISCUSSION: Among SM users, PSQ was related to sociodemographic features, lifestyle characteristics, and health-risk factors. Further research is required to confirm these findings.