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We sought to compare risk factors contributing to unintentional, homicide, and suicide firearm deaths in children. We conducted a retrospective review of the National Fatality Review Case Reporting System. We included all firearm deaths among children aged 0–18 years occurring from 2007 to 2016. Descriptive analyses were performed on demographic, psychosocial, and firearm characteristics and their relationship to unintentional, homicide, and suicide deaths. Regression analyses were used to compare factors contributing to unintentional vs. intentional deaths. There were 6148 firearm deaths during the study period. The mean age was 14 years (SD ± 4 years), of which 81% were male and 41% were non-Hispanic White. The most common manners of death were homicide (57%), suicide (36%), and unintentional (7%). Over one-third of firearms were stored unlocked. Homicide deaths had a higher likelihood of occurring outside of the home setting (aOR 3.2, 95% CI 2.4–4.4) compared with unintentional deaths. Suicide deaths had a higher likelihood of occurring in homes with firearms that were stored locked (aOR 4.2, 95% CI 2.1–8.9) compared with unintentional deaths. Each manner of firearm death presents a unique set of psychosocial circumstances and challenges for preventive strategies. Unsafe firearm storage practices remain a central theme in contributing to the increased risk of youth firearm deaths. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Suicide is a leading cause of death among youth in the United States. The coronavirus disease 2019 (COVID-19) pandemic raised concerns that suicide rates will increase. The National Fatality Review-Case Reporting System documents circumstances of child deaths reviewed by multidisciplinary teams. In April 2021, a question asking whether COVID-19 directly or indirectly impacted the child's death was added to the National Fatality Review-Case Reporting System. The objective of this study was to identify factors related to suicide deaths among youth during the COVID-19 pandemic. METHODS: This exploratory study of youth aged 10 to 17 years occurring during 2020 to 2021 compared demographic and incident characteristics, life stressors, social/mental health histories, and pandemic-related disruptions to school, health, and mental health for COVID-19-impacted suicides and non-COVID-19-impacted suicides using descriptive statistics. χ² statistics assessed statistical significance in differences across the 2 groups. RESULTS: A total of 552 suicides were included for study. Higher proportions of COVID-19-impacted suicides (n = 144) were by hanging (51% vs 40%) and occurred in suburban areas (57% vs 45%) compared with non-COVID-19-impacted suicides (n = 408). COVID-19-impacted youth also experienced significantly more isolation (60% vs 14%), school problems (42% vs 19%), depression (43% vs 24%), and/or anxiety disorder (23% vs 12%) diagnoses. CONCLUSIONS: A subset of youth experienced significant effects of the pandemic and associated measures implemented to mitigate the spread of COVID-19. They were proportionally more likely to experience isolation, school and mental health care disruptions, behavior changes, and severe emotional distress; all signs of increased risk for suicide. [ABSTRACT FROM AUTHOR]

Objective Assess the association between caregiver supervision and acute unintentional injury in young children; evaluate whether lower levels of supervision result in more severe injury. Methods A case cross-over study was conducted. Parents of children aged ≤4 years whose injuries required emergency department (ED sample) treatment or admission to the hospital (inpatient sample) were interviewed. Information on supervision (3 dimensions: proximity, attention, continuity) at the time of injury and 1 h before the injury (control time) was collected. An overall supervision score was created; a higher score indicates closer supervision. Hospital admission served as a proxy for injury severity. ORs and 95% CIs were calculated. Results Interviews were completed by 222 participants; 50 (23%) were in the inpatient sample. For each supervision dimension the inpatient sample had higher odds of injury, indicating effect modification requiring separate analyses for inpatient and ED samples. For both samples, proximity ‘beyond reach' was associated with the highest odds of injury; compared with 1 h before injury, children were more likely to be beyond reach of their caregiver at the time of injury (inpatient sample: OR 11.5, 95% CI 2.7 to 48.8; ED sample: OR 2.9, 95% CI 1.8 to 4.9). Children with lower supervision scores had the greatest odds of injury (inpatient sample: OR 8.0, 95% CI 2.4 to 26.6; ED sample: OR 3.3, 95% CI 1.9 to 5.6). Conclusions Lower levels of adult supervision are associated with higher odds of more severe injury in young children. Proximity is the most important supervision dimension for reducing injury risk. [ABSTRACT FROM AUTHOR]

Objectives. We sought to describe the characteristics and sleep circumstances of infants who die suddenly and unexpectedly and to examine similarities and differences in risk factors among infants whose deaths are classified as resulting from sudden infant death syndrome (SIDS), suffocation, or undetermined causes. Methods. We used 2005 to 2008 data from 9 US states to assess 3136 sleep-related sudden unexpected infant deaths (SUIDs). Results. Only 25% of infants were sleeping in a crib or on their back when found; 70% were on a surface not intended for infant sleep (e.g., adult bed). Importantly, 64% of infants were sharing a sleep surface, and almost half of these infants were sleeping with an adult. Infants whose deaths were classified as suffocation or undetermined cause were significantly more likely than were infants whose deaths were classified as SIDS to be found on a surface not intended for infant sleep and to be sharing that sleep surface. Conclusions. We identified modifiable sleep environment risk factors in a large proportion of the SUIDs assessed in this study. Our results make an important contribution to the mounting evidence that sleep environment hazards contribute to SUIDs. [ABSTRACT FROM AUTHOR]