Publications by authors named "D E Bennett"

Background: Epidemiological data for sarcoma in adolescents and young adults (AYAs) and across age groups are limited. We aim to: 1) update sarcoma incidence, survival, and changes over time in European AYAs; 2) provide an updated comparison of sarcoma survival in AYAs versus children and mature adults.

Methods: We calculated crude incidence rates (IR) per 100,000 European population per year from 2006 to 2013.

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Background: CONCORD-3 highlighted wide disparities in population-based 5-year net survival for cutaneous melanoma during 2000-2014. Studies showed a survival advantage in women, but the reasons are not completely understood. We aim to estimate trends in age-standardised 5-year net survival by sex and to examine the role of age, anatomic location and stage on the survival advantage for women worldwide.

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Background: The transition from military service to civilian life presents a variety of challenges for veterans, influenced by individual factors such as premilitary life, length of service, and deployment history. Mental health issues, physical injuries, difficulties in relationships, and identity loss compound the reintegration process. To address these challenges, various face-to-face and internet-based programs are available yet underused.

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Background: Childhood adversities, such as exposure to parental mental illness, domestic violence and abuse, substance use, and family poverty, have been linked to involvement in violence in early adulthood. However, evidence on the cumulative impact of multiple adversities throughout childhood on violence and crime in adolescence remains scarce. This study investigates the associations between trajectories of family adversity and poverty during childhood, and the risk of involvement in violence and contact with police in adolescence.

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Background: Analyzing disease-linked genetic variants via expression quantitative trait loci (eQTLs) is important for identifying potential disease-causing genes. Previous research prioritized genes by integrating Genome-Wide Association Study (GWAS) results with tissue- level eQTLs. Recent studies have explored brain cell type-specific eQTLs, but they lack a systematic analysis across various Alzheimer's disease (AD) GWAS datasets, nor did they compare effects between tissue and cell type levels or across different cell type-specific eQTL datasets.

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