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10 result(s) for "Spark, Talia L."
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Estimation of COVID-19 mRNA Vaccine Effectiveness and COVID-19 Illness and Severity by Vaccination Status During Omicron BA.4 and BA.5 Sublineage Periods
Recent SARS-CoV-2 Omicron variant sublineages, including BA.4 and BA.5, may be associated with greater immune evasion and less protection against COVID-19 after vaccination. To evaluate the estimated vaccine effectiveness (VE) of 2, 3, or 4 doses of COVID-19 mRNA vaccination among immunocompetent adults during a period of BA.4 or BA.5 predominant circulation; and to evaluate the relative severity of COVID-19 in hospitalized patients across Omicron BA.1, BA.2 or BA.2.12.1, and BA.4 or BA.5 sublineage periods. This test-negative case-control study was conducted in 10 states with data from emergency department (ED) and urgent care (UC) encounters and hospitalizations from December 16, 2021, to August 20, 2022. Participants included adults with COVID-19-like illness and molecular testing for SARS-CoV-2. Data were analyzed from August 2 to September 21, 2022. mRNA COVID-19 vaccination. The outcomes of interest were COVID-19 ED or UC encounters, hospitalizations, and admission to the intensive care unit (ICU) or in-hospital death. VE associated with protection against medically attended COVID-19 was estimated, stratified by care setting and vaccine doses (2, 3, or 4 doses vs 0 doses as the reference group). Among hospitalized patients with COVID-19, demographic and clinical characteristics and in-hospital outcomes were compared across sublineage periods. During the BA.4 and BA.5 predominant period, there were 82 229 eligible ED and UC encounters among patients with COVID-19-like illness (median [IQR] age, 51 [33-70] years; 49 682 [60.4%] female patients), and 19 114 patients (23.2%) had test results positive for SARS-CoV-2; among 21 007 hospitalized patients (median [IQR] age, 71 [58-81] years; 11 209 [53.4%] female patients), 3583 (17.1 %) had test results positive for SARS-CoV-2. Estimated VE against hospitalization was 25% (95% CI, 17%-32%) for receipt of 2 vaccine doses at 150 days or more after receipt, 68% (95% CI, 50%-80%) for a third dose 7 to 119 days after receipt, and 36% (95% CI, 29%-42%) for a third dose 120 days or more (median [IQR], 235 [204-262] days) after receipt. Among patients aged 65 years or older who had received a fourth vaccine dose, VE was 66% (95% CI, 53%-75%) at 7 to 59 days after vaccination and 57% (95% CI, 44%-66%) at 60 days or more (median [IQR], 88 [75-105] days) after vaccination. Among hospitalized patients with COVID-19, ICU admission or in-hospital death occurred in 21.4% of patients during the BA.1 period vs 14.7% during the BA.4 and BA.5 period (standardized mean difference: 0.17). In this case-control study of COVID-19 vaccines and illness, VE associated with protection against medically attended COVID-19 illness was lower with increasing time since last dose; estimated VE was higher after receipt of 1 or 2 booster doses compared with a primary series alone.
Rural-urban differences in post-9/11 women veterans’ firearm ownership and characteristics
Background Access to firearms is associated with elevated risk for suicide; however, knowledge of firearm ownership and characteristics among rural residing women Veterans remains limited. Given increasing rates of firearm suicide among women Veterans, we examined if rurality was associated with firearm ownership and firearm characteristics (type, number, reasons for ownership, perceived safety, storage) among women Veterans. Methods In 2020, 525 post-9/11 era women Veterans completed a survey assessing firearm ownership and characteristics. Prevalence ratios (PR) and 95% confidence intervals (CI) were estimated to compare differences in firearm ownership and related characteristics between rural and urban residing women Veterans, using Poisson regression with robust standard errors. Results Rural, relative to urban, residing women Veterans were significantly more likely to report personal firearm ownership (PR = 1.30; 95%CI: 1.07, 1.57) and household firearm ownership (PR = 1.22; 95%CI: 1.05, 1.41). Significant differences were not detected regarding types of firearms, number of firearms, firearm storage methods, reasons for owning, or perceived sense of safety from the presence of a firearm in the home. In a post-hoc sensitivity analysis with an alternative conceptualization of rurality, rural residing, compared to urban residing, women Veterans were more likely to own only a long gun or both long guns and handguns. Conclusions Assessing for personal ownership and household firearm access is an important component of suicide prevention for both rural and urban residing women Veterans and may be especially relevant to post-9/11 women Veterans residing in rural areas.
Who discovers the firearm suicide decedent: an epidemiologic characterization of survivor-victims
BackgroundSuicide is the tenth leading cause of death in the United States, with over half of cases involving firearms. Despite research indicating negative effects of exposure to suicide, there is little research on who typically finds the body of the suicide decedent. Understanding who finds the body of the suicide decedent may be important to understand trauma and mental health effects.FindingsOf the 332 people who died by suicide in El Paso County, Colorado, 182 (55%) used firearms. Those who died by firearm suicide were more likely to be male (83.5% vs. 67.3%) have military affiliation (39.0% vs. 19.3%) and were less likely to have a known mental health diagnosis (47.3% vs. 64.7%) compared to those who died from other means. Most suicide decedents were found by a family member or friend (60.2%). The remaining decedents were found by a stranger/acquaintance (21.0%) or a first responder (22.4%) One-fifth of suicides involved forced witnessing (19%) and the majority were already deceased when the body was discovered (73.2%). ConclusionsWhile most suicide decedents are discovered by a family member or a friend, it is unknown what the bereavement and trauma-related outcomes are among people who discover a suicide decedent who has died by violent means, especially by firearms. Further studies exploring who discovers suicide decedents and targeted postvention strategies for supporting impacted family, friends, first responders, and strangers are needed.
Geography, rurality, and community distress: deaths due to suicide, alcohol-use, and drug-use among Colorado Veterans
Background In the USA, deaths due to suicide, alcohol, or drug-related causes (e.g., alcohol-related liver disease, overdose) have doubled since 2002. Veterans appear disproportionately impacted by growing trends. Limited research has been conducted regarding the relationship between community-level factors (e.g., rurality, community distress resulting from economic conditions) and the presence of spatial clustering of suicide, alcohol-related, or drug-related deaths. We explored community-level relationships in Colorado Veterans and compared suicide, alcohol-, and drug-related death rates between the Colorado adult population and Veterans. Methods 2009–2020 suicide, alcohol-related, and/or drug-related deaths were identified using qualifying multiple cause-of-death International Classification of Disease (ICD)-10 codes in CDC WONDER for the general adult population and Colorado death data for Veteran populations. Age and race adjusted rates were calculated to compare risk overall and by mortality type (i.e., suicide, alcohol-related, drug-related). In Veteran decedents, age-adjusted rates were stratified by rurality and community distress, measured by the Distressed Communities Index. Standardized mortality ratios were calculated to measure spatial autocorrelation and identify clusters using global and local Moran’s I , respectively. Results 6.4% of Colorado Veteran deaths ( n  = 6948) were identified as being related to suicide, alcohol, or drugs. Compared to rates in the general population of Colorado adults, Veterans had 1.8 times higher rates of such deaths overall (2.1 times higher for suicide, 1.8 times higher for alcohol-related, 1.3 times higher for drug-related). Among Veterans, community distress was associated with an increased risk of alcohol-related [age-adjusted rate per 100,000 (95% CI) = 129.6 (89.9–193.1)] and drug-related deaths [95.0 (48.6–172.0)]. This same significant association was not identified among those that died by suicide. Rurality was not associated with risk for any of the deaths of interest. There was significant spatial clustering for alcohol-related deaths in southeast Colorado. Conclusions Colorado Veterans have higher rates of deaths due to suicide, alcohol-related, and drug-related causes compared to members of the general adult population. Upstream prevention efforts, such as community-based interventions targeting alcohol-use and community economic distress, are warranted. More research is also needed to understand how community distress and other social determinants of health impact the community burden of suicide, alcohol-related, and drug-related mortality.
Leveraging Community Context, Data, and Resources to Inform Suicide Prevention Strategies
Colorado has consistently had one of the highest rates of suicide in the United States, and El Paso County has the highest number of suicide and firearm-related suicide deaths within the state. Community-based solutions like those of the Suicide Prevention Collaborative of El Paso County may be more effective in preventing suicide as they are specific to local issues, sensitive to local culture, and informed by local data, community members, and stakeholders.
Firearm Lethal Means Counseling Among Women: Clinical and Research Considerations and a Call to Action
Firearm injury is the leading mechanism of suicide among US women, and lethal means counseling (LMC) is an evidence-based suicide prevention intervention. We describe current knowledge and research gaps in tailoring LMC to meet the needs of US women. Available LMC and firearm suicide prevention literature has not fully considered how LMC interventions should be tailored for women. This is especially important as firearm ownership and firearm-related suicides among women are increasing. Additional research is needed to better understand firearm characteristics, behaviors, and beliefs of US women, particularly related to perceptions of personal safety and history of trauma. Research is also needed to identify optimal components of LMC interventions (e.g., messengers, messages, settings) and how best to facilitate safety practices among women with firearm access who are not themselves firearm owners but who reside in households with firearms. Finally, it will be important to examine contextual and individual factors (e.g., rurality, veteran status, intimate partner violence) which may impact LMC preferences and recommendations. This commentary offers considerations for applying existing knowledge in LMC and firearm suicide prevention to clinical practice and research among US women, among whom the burden of firearm suicide is increasing.
Assessment of Rural-Urban and Geospatial Differences in Perceived Handgun Access and Reported Suicidality Among Youth in Colorado
Suicide is the second leading cause of death in adolescents, with firearms the most common method, especially in rural communities. Identifying where to target lethal means safety interventions could better leverage limited resources. To understand the associations of rurality, school-level prevalence of easy handgun access, and suicidality measures in Colorado youth, to explore spatial distribution of school-level measures, and to identify communities with high prevalence of both easy handgun access and suicidality. This cross-sectional study used data from the 2019 Healthy Kids Colorado Survey, an anonymous cross-sectional school-based survey conducted at 256 participating Colorado high schools. Participants included students from schools recruited for statewide population-based estimates and additional schools opting in. Data were analyzed from November 9, 2020, to March 13, 2021. Urban-centric locale according to a 7-level continuum. Geocoded location of schools was used for spatial analysis. The main outcomes were weighted prevalence for easy handgun access and 4 measures of mental health and suicidality in the previous year (ie, feeling sad for 2 weeks and considering suicide, planning suicide attempt, or attempting suicide in the past year). A total of 59 556 students (49.7% [95% CI, 49.3%-50.1%] male and 50.3% [95% CI, 49.9%-50.7%] female; 53.9% [95% CI, 53.5%-54.3%] in 9th and 10th grade; 36.4% [95% CI, 36.0%-36.8%] Hispanic and 50.8% [95% CI, 50.4%-51.2%] non-Hispanic White) from 256 schools participated. Most schools were rural or in small towns (56.8% [95% CI, 50.7%-62.9%]), while more students participated from urban and suburban schools (57.8% [95% CI, 57.6%-58.0%]). Prevalence of perceived easy access to handguns increased with increasing rurality, with 36.2% (95% CI, 35.2%-37.1%) of students in rural (remote) schools reporting easy access, compared with 18.2% (95% CI, 17.3%-19.1%) for city (large) schools. The spatial distribution of easy handgun access and suicidality measures had minimal overlap, but there was correlation at school-level between easy handgun access and considering suicide (ρ = 0.203 [95% CI, 0.0748-0.331]), planning suicide (ρ = 0.300 [95% CI, 0.173-0.427]), and attempting suicide (ρ = 0.218 [95% CI, 0.0869-0.350) in the previous year. The highest quartile for prevalence of both perceived easy access to handguns and planning suicide in the previous year included 21 schools (81.0% [95% CI, 64.0%-97.9%] rural [remote] or rural [distant]). These findings suggest that rural-remote communities in Colorado may benefit most from interventions focused on limiting youth access to handguns when youth are in crisis, with some communities at especially high risk. Spatially referenced data may improve targeting interventions to where they are needed most.
Risk of COVID‐19 Hospitalization and Protection Associated With mRNA Vaccination Among US Adults With Psychiatric Disorders
Background Although psychiatric disorders have been associated with reduced immune responses to other vaccines, it remains unknown whether they influence COVID‐19 vaccine effectiveness (VE). This study evaluated risk of COVID‐19 hospitalization and estimated mRNA VE stratified by psychiatric disorder status. Methods In a retrospective cohort analysis of the VISION Network in four US states, the rate of laboratory‐confirmed COVID‐19‐associated hospitalization between December 2021 and August 2022 was compared across psychiatric diagnoses and by monovalent mRNA COVID‐19 vaccination status using Cox proportional hazards regression. Results Among 2,436,999 adults, 22.1% had ≥1 psychiatric disorder. The incidence of COVID‐19‐associated hospitalization was higher among patients with any versus no psychiatric disorder (394 vs. 156 per 100,000 person‐years, p < 0.001). Any psychiatric disorder (adjusted hazard ratio [aHR], 1.27; 95% CI, 1.18–1.37) and mood (aHR, 1.25; 95% CI, 1.15–1.36), anxiety (aHR, 1.33, 95% CI, 1.22–1.45), and psychotic (aHR, 1.41; 95% CI, 1.14–1.74) disorders were each significant independent predictors of hospitalization. Among patients with any psychiatric disorder, aHRs for the association between vaccination and hospitalization were 0.35 (95% CI, 0.25–0.49) after a recent second dose, 0.08 (95% CI, 0.06–0.11) after a recent third dose, and 0.33 (95% CI, 0.17–0.66) after a recent fourth dose, compared to unvaccinated patients. Corresponding VE estimates were 65%, 92%, and 67%, respectively, and were similar among patients with no psychiatric disorder (68%, 92%, and 79%). Conclusion Psychiatric disorders were associated with increased risk of COVID‐19‐associated hospitalization. However, mRNA vaccination provided similar protection regardless of psychiatric disorder status, highlighting its benefit for individuals with psychiatric disorders.
Firearm Lethal Means Counseling Among Women: Clinical and Research Considerations and a Call to Action
Purpose of review Firearm injury is the leading mechanism of suicide among US women, and lethal means counseling (LMC) is an evidence-based suicide prevention intervention. We describe current knowledge and research gaps in tailoring LMC to meet the needs of US women. Recent findings Available LMC and firearm suicide prevention literature has not fully considered how LMC interventions should be tailored for women. This is especially important as firearm ownership and firearm-related suicides among women are increasing. Additional research is needed to better understand firearm characteristics, behaviors, and beliefs of US women, particularly related to perceptions of personal safety and history of trauma. Research is also needed to identify optimal components of LMC interventions (e.g., messengers, messages, settings) and how best to facilitate safety practices among women with firearm access who are not themselves firearm owners but who reside in households with firearms. Finally, it will be important to examine contextual and individual factors (e.g., rurality, veteran status, intimate partner violence) which may impact LMC preferences and recommendations. Summary This commentary offers considerations for applying existing knowledge in LMC and firearm suicide prevention to clinical practice and research among US women, among whom the burden of firearm suicide is increasing.
Food desert residence has limited impact on veteran fecal microbiome composition: a U.S. Veteran Microbiome Project study
Social and economic inequities can have a profound impact on human health, particularly on the development and progression of chronic disease. For military veterans, exposure to unique environments and circumstances may further impact their health. There continues to be limited work regarding the influence of mental health within the context of socioeconomic inequities. In this cross-sectional study, we hypothesized that veterans residing in food deserts (e.g., places in which there is a lack of access to sufficient and/or nutritious food) would have decreased gut microbial species (α-diversity), different microbiome community compositions, and poorer quality of diet and mental health compared to non-food desert residents. The fecal microbiome of 342 military veterans was sequenced, and microbiome diversity and community composition were evaluated. Although dietary quality and α-diversity did not significantly differ by food desert status, resident status (food desert versus non-food desert) accounted for a moderate influence on β-diversity (2.4%). Factors such as race and psychiatric diagnoses accounted for greater proportions of β-diversity influence (7% and 10%, respectively). Moreover, more participants with current post-traumatic stress disorder lived in food deserts ( P < 0.04), and there were significantly more participants in the non-food desert group diagnosed with substance use disorders ( P = 0.002) and current alcohol use disorder ( P = 0.04). These findings suggest that living in a food desert, in combination with additional associated risk factors, may influence gut microbial diversity and composition. To increase ecological validity, researchers investigating the influence of inter-related biopsychosocial factors over time may benefit from adopting a life-course perspective. Social and economic inequities can have a profound impact on human health. The inequities could result in alterations to the gut microbiome, an important factor that may have profound abilities to alter health outcomes. Moreover, the strong correlations between social and economic inequities have been long understood. However, to date, limited research regarding the microbiome and mental health within the context of socioeconomic inequities exists. One particular inequity that may influence both mental health and the gut microbiome is living in a food desert. Persons living in food deserts may lack access to sufficient and/or nutritious food and often experience other inequities, such as increased exposure to air pollution and poor access to healthcare. Together, these factors may confer a unique risk for microbial perturbation. Indeed, external factors beyond a food desert might compound over time to have a lasting effect on an individual’s gut microbiome. Therefore, adoption of a life-course approach is expected to increase the ecological validity of research related to social inequities, the gut microbiome, and physical and mental health.