Arab, Middle Eastern, and North African Health Disparities Research: A Scoping Review.

BACKGROUND: Research in health disparities and how they affect underserved populations continues to grow and expand. However, the experiences of Arab/Middle Eastern and North African (MENA) Americans often go unnoticed, and yet, preliminary data suggests there are significant disparities between this population and other groups. The purpose of this scoping review is to examine and synthesize the extent of available literature on health disparities and outcomes for this group. METHODS: A scoping review was conducted to investigate the current state of research on health disparities and outcomes among Arab/MENA individuals within the USA. The PRISMA protocol for scoping reviews was utilized. RESULTS: Through the use of PubMed and PsychInfo databases, the search identified 43 articles that were eligible for inclusion in the final review. Five themes emerged: prevalence and health outcomes, factors impacting health, comparison studies, barriers, and health literacy and beliefs. Extant data was equivocal, suggesting the need for further research. CONCLUSIONS: Research on Arab/MENA health disparities and outcomes is in the detection phase, indicating that more research is needed to elucidate the state of Arab/MENA health in the USA. These findings can help healthcare professionals and researchers understand the emerging literature on health disparities within the Arab/MENA community and inform further research and clinical practice within this population.

Computer-vision analysis of craniofacial dysmorphology in 22q11.2 deletion syndrome and psychosis spectrum disorders.

BACKGROUND: Minor physical anomalies (MPAs) are congenital morphological abnormalities linked to disruptions of fetal development. MPAs are common in 22q11.2 deletion syndrome (22q11DS) and psychosis spectrum disorders (PS) and likely represent a disruption of early embryologic development that may help identify overlapping mechanisms linked to psychosis in these disorders. METHODS: Here, 2D digital photographs were collected from 22q11DS (n = 150), PS (n = 55), and typically developing (TD; n = 93) individuals. Photographs were analyzed using two computer-vision techniques: (1) DeepGestalt algorithm (Face2Gene (F2G)) technology to identify the presence of genetically mediated facial disorders, and (2) Emotrics-a semi-automated machine learning technique that localizes and measures facial features. RESULTS: F2G reliably identified patients with 22q11DS; faces of PS patients were matched to several genetic conditions including FragileX and 22q11DS. PCA-derived factor loadings of all F2G scores indicated unique and overlapping facial patterns that were related to both 22q11DS and PS. Regional facial measurements of the eyes and nose were smaller in 22q11DS as compared to TD, while PS showed intermediate measurements. CONCLUSIONS: The extent to which craniofacial dysmorphology 22q11DS and PS overlapping and evident before the impairment or distress of sub-psychotic symptoms may allow us to identify at-risk youths more reliably and at an earlier stage of development.