Exploring Pathways to Caregiver Health: The Roles of Caregiver Burden, Familism, and Ethnicity.

OBJECTIVES: This study examines the associations of ethnicity, caregiver burden, familism, and physical and mental health among Mexican Americans (MAs) and non-Hispanic Whites (NHWs). METHODS: We recruited adults 65+ years with possible cognitive impairment (using the Montreal Cognitive Assessment score<26), and their caregivers living in Nueces County, Texas. We used weighted path analysis to test effects of ethnicity, familism, and caregiver burden on caregiver's mental and physical health. RESULTS: 516 caregivers and care-receivers participated. MA caregivers were younger, more likely female, and less educated compared to NHWs. Increased caregiver burden was associated with worse mental (B = -0.53; p < .001) and physical health (B = -0.15; p = .002). Familism was associated with lower burden (B = -0.14; p = .001). MA caregivers had stronger familism scores (B = 0.49; p < .001). DISCUSSION: Increased burden is associated with worse caregiver mental and physical health. MA caregivers had stronger familism resulting in better health. Findings can contribute to early identification, intervention, and coordination of services to help reduce caregiver burden.

A Community-Based Study of Dementia in Mexican American and Non-Hispanic White Individuals.

BACKGROUND: Little information is available on the prevalence of cognitive impairment in Mexican American persons. OBJECTIVE: To determine the prevalence of mild cognitive impairment (MCI) and dementia in those 65 years and older among Mexican American and non-Hispanic white individuals in a community. METHODS: This was a population-based cohort study in Nueces County, Texas, USA. Participants were recruited using a random housing sample. The Harmonized Cognitive Assessment (HCAP) participant and informant protocol was performed after Montreal Cognitive Assessment (MoCA) screening. An algorithm was used to sort participants into diagnostic categories: no cognitive impairment, MCI, or dementia. Logistic regression determined the association of ethnicity with MCI and dementia controlling for age, gender, and education. RESULTS: 1,901 participants completed the MoCA and 547 the HCAP. Mexican Americans were younger and had less educational attainment than non-Hispanic whites. Overall, dementia prevalence was 11.6% (95% CI 9.2-14.0) and MCI prevalence was 21.2% (95% CI 17.5-24.8). After adjusting for age, gender, and education level, there was no significant ethnic difference in the odds of dementia or MCI. Those with ≤11 compared with ≥16 years of education had much higher dementia [OR = 4.9 (95% CI 2.2-11.1)] and MCI risk [OR = 3.5 (95% CI 1.6-7.5)]. CONCLUSIONS: Dementia and MCI prevalence were high in both Mexican American and non-Hispanic white populations. Mexican American persons had double the odds of mild cognitive impairment and this was attenuated when age and educational attainment were considered. Educational attainment was a potent predictor of cognitive impairment.

A Community-Based Study of Cognitive Impairment Caregiving Outcomes Pre- and During the COVID-19 Pandemic.

The impact of the COVID-19 pandemic on informal caregiving was examined in a Mexican American (MA) and Non-Hispanic White (NHW) population-based cohort. 395 participants age > 65 years were recruited via door-to-door and phone recruitment as part of the Brain Attack Surveillance in Corpus Christi-Cognitive (BASIC-C) project. Both recipients and caregivers answered questions regarding the recipient's health and the COVID-19 pandemic. 15% of caregivers saw their caregiving recipient less than before the pandemic and 18% saw their recipient more than before. 55% of caregivers reported a slight to severe impact of the pandemic on their caregiving, and 45% reported no impact. For most caregivers, their caregiving role did not change markedly during the pandemic. MA and NHW caregivers had similar survey responses.

A community-based study of reporting demographic and clinical information concordance between informants and cognitively impaired participants.

BACKGROUND: Understanding concordance between informants' and cognitively impaired participants' information reporting is crucial for Alzheimer's and Alzheimer's-related dementia studies. METHODS: The Brain Attack Surveillance in Corpus Christi-Cognitive is a community-based cohort study. Households in Nueces County, Texas, USA, were randomly identified. 330 dyads of participants and their named informants answered questions. Models were generated to examine which predictors, including age, gender, ethnicity, cognitive function, and relationship to informant, influenced answer discordance. RESULTS: For demographic items, female participants and participants with spouses/partners as informants had significantly less discordance, with incidence rate rations (IRRs) of 0.65 (CI = 0.44, 0.96) and 0.41 (CI = 0.23, 0.75), respectively. For health items, better cognitive function of the participant was associated with less discordance, with an IRR of 0.85 (CI = 0.76, 0.94). CONCLUSIONS: Demographic information concordance is most associated with gender and informant-participant relationship. Level of cognitive function is most associated with concordance for health information. CLINICALTRIALS: gov identifier NCT03403257.

Medical-encounter mental health diagnoses, non-fatal injury and polypharmacy indicators of risk for accident death in the US Army enlisted soldiers, 2004-2009.

Accidents are a leading cause of deaths in U.S. active duty personnel. Understanding accident deaths during wartime could facilitate future operational planning and inform risk prevention efforts. This study expands prior research, identifying health risk factors associated with U.S. Army accident deaths during the Afghanistan and Iraq war. Military records for 2004-2009 enlisted, active duty, Regular Army soldiers were analyzed using logistic regression modeling to identify mental health, injury, and polypharmacy (multiple narcotic and/or psychotropic medications) predictors of accident deaths for current, previously, and never deployed groups. Deployed soldiers with anxiety diagnoses showed higher risk for accident deaths. Over half had anxiety diagnoses prior to being deployed, suggesting anticipatory anxiety or symptom recurrence may contribute to high risk. For previously deployed soldiers, traumatic brain injury (TBI) indicated higher risk. Two-thirds of these soldiers had first TBI medical-encounter while non-deployed, but mild, combat-related TBIs may have been undetected during deployments. Post-Traumatic Stress Disorder (PTSD) predicted higher risk for never deployed soldiers, as did polypharmacy which may relate to reasons for deployment ineligibility. Health risk predictors for Army accident deaths are identified and potential practice and policy implications discussed. Further research could test for replicability and expand models to include unobserved factors or modifiable mechanisms related to high risk. PTSD predicted high risk among those never deployed, suggesting importance of identification, treatment, and prevention of non-combat traumatic events. Finally, risk predictors overlapped with those identified for suicides, suggesting effective intervention might reduce both types of deaths.

Predicting suicides after psychiatric hospitalization in US Army soldiers: the Army Study To Assess Risk and rEsilience in Servicemembers (Army STARRS).

IMPORTANCE: The US Army experienced a sharp increase in soldier suicides beginning in 2004. Administrative data reveal that among those at highest risk are soldiers in the 12 months after inpatient treatment of a psychiatric disorder. OBJECTIVE: To develop an actuarial risk algorithm predicting suicide in the 12 months after US Army soldier inpatient treatment of a psychiatric disorder to target expanded posthospitalization care. DESIGN, SETTING, AND PARTICIPANTS: There were 53,769 hospitalizations of active duty soldiers from January 1, 2004, through December 31, 2009, with International Classification of Diseases, Ninth Revision, Clinical Modification psychiatric admission diagnoses. Administrative data available before hospital discharge abstracted from a wide range of data systems (sociodemographic, US Army career, criminal justice, and medical or pharmacy) were used to predict suicides in the subsequent 12 months using machine learning methods (regression trees and penalized regressions) designed to evaluate cross-validated linear, nonlinear, and interactive predictive associations. MAIN OUTCOMES AND MEASURES: Suicides of soldiers hospitalized with psychiatric disorders in the 12 months after hospital discharge. RESULTS: Sixty-eight soldiers died by suicide within 12 months of hospital discharge (12.0% of all US Army suicides), equivalent to 263.9 suicides per 100,000 person-years compared with 18.5 suicides per 100,000 person-years in the total US Army. The strongest predictors included sociodemographics (male sex [odds ratio (OR), 7.9; 95% CI, 1.9-32.6] and late age of enlistment [OR, 1.9; 95% CI, 1.0-3.5]), criminal offenses (verbal violence [OR, 2.2; 95% CI, 1.2-4.0] and weapons possession [OR, 5.6; 95% CI, 1.7-18.3]), prior suicidality [OR, 2.9; 95% CI, 1.7-4.9], aspects of prior psychiatric inpatient and outpatient treatment (eg, number of antidepressant prescriptions filled in the past 12 months [OR, 1.3; 95% CI, 1.1-1.7]), and disorders diagnosed during the focal hospitalizations (eg, nonaffective psychosis [OR, 2.9; 95% CI, 1.2-7.0]). A total of 52.9% of posthospitalization suicides occurred after the 5% of hospitalizations with highest predicted suicide risk (3824.1 suicides per 100,000 person-years). These highest-risk hospitalizations also accounted for significantly elevated proportions of several other adverse posthospitalization outcomes (unintentional injury deaths, suicide attempts, and subsequent hospitalizations). CONCLUSIONS AND RELEVANCE: The high concentration of risk of suicide and other adverse outcomes might justify targeting expanded posthospitalization interventions to soldiers classified as having highest posthospitalization suicide risk, although final determination requires careful consideration of intervention costs, comparative effectiveness, and possible adverse effects.

Risk factors for accident death in the U.S. Army, 2004-2009.

BACKGROUND: Accidents are one of the leading causes of death among U.S. active-duty Army soldiers. Evidence-based approaches to injury prevention could be strengthened by adding person-level characteristics (e.g., demographics) to risk models tested on diverse soldier samples studied over time. PURPOSE: To identify person-level risk indicators of accident deaths in Regular Army soldiers during a time frame of intense military operations, and to discriminate risk of not-line-of-duty from line-of-duty accident deaths. METHODS: Administrative data acquired from multiple Army/Department of Defense sources for active duty Army soldiers during 2004-2009 were analyzed in 2013. Logistic regression modeling was used to identify person-level sociodemographic, service-related, occupational, and mental health predictors of accident deaths. RESULTS: Delayed rank progression or demotion and being male, unmarried, in a combat arms specialty, and of low rank/service length increased odds of accident death for enlisted soldiers. Unique to officers was high risk associated with aviation specialties. Accident death risk decreased over time for currently deployed, enlisted soldiers and increased for those never deployed. Mental health diagnosis was associated with risk only for previous and never-deployed, enlisted soldiers. Models did not discriminate not-line-of-duty from line-of-duty accident deaths. CONCLUSIONS: Adding more refined person-level and situational risk indicators to current models could enhance understanding of accident death risk specific to soldier rank and deployment status. Stable predictors could help identify high risk of accident deaths in future cohorts of Regular Army soldiers.

War-related stressors as predictors of post-deployment health of Air Force women.

INTRODUCTION: Little is known about the effects of combat exposure on women's health after service in Operation Iraqi Freedom (OIF). Our purpose was to describe the incidence and nature of physical heath symptoms reported by deployed women to identify problematic areas where early intervention or better surveillance might be directed. METHODS: Using a random, stratified sample (theater vs. non-theater; parent vs. non-parent; and military component including active, guard, and reserve members) of 1,114 Air Force women, we provide descriptive statistics, group comparisons, and multiple regression models to identify health concerns and potential predictors of physical health outcomes. RESULTS: Findings revealed that those in the reserve/guard forces (vs. active duty) and those in the theater of operations (vs. elsewhere during the same time period) reported greater physical health problems (ß = -0.07, p < .05 and ß = 0.11, p < .001, respectively). Enlisted women reported poorer general health than officers (ß = 0.09, p < .01). Women were more likely to report that their physical health was impacted by OIF if deployed to the theater versus deployment elsewhere (ß = 0.16, p < .001) or if they were in the reserve forces (ß = -0.11, p < .001). Further, women who were parents or deployed to the theater reported greater interference of physical and emotional problems on their social functioning (ß = 0.08, p < .05 and ß = 0.08, p < .01, respectively). CONCLUSION: Deployment to the theater of operations is significantly associated with physical health outcomes although the severity of the self-reported symptoms is low. Our findings suggest that further investigation is needed to explore the war-related predictors of health among women serving in deployed locations around the world.

Effects of war exposure on air force personnel's mental health, job burnout and other organizational related outcomes.

Longitudinal data from a stratified representative sample of U.S. Air Force personnel (N = 1009) deployed to the wars in Iraq, Afghanistan, and other locations were analyzed in this study. Using structural equation models, we examined the effects of war exposure on traumatic experiences, Post Traumatic Stress (PTS) symptoms, resource loss, and on subsequent functioning, perceived health, and on job and organizationally relevant outcomes. The job and organizational outcomes included job burnout, job involvement, job strain, job satisfaction, work-family conflict, organizational commitment, deployment readiness, and intention to reenlist. We found that deployment to the theater of the war increased risk of exposure to trauma, which in turn, predicted elevated PTS symptoms and resource loss. PTS symptoms predicted later loss of resources and deterioration in perceived health and functioning. In turn, resource loss predicted negative job and organizational outcomes. Exposure to trauma fully mediated the effects of deployment to the theater of war on PTS symptoms and resource loss and had additional significant indirect effects on several job and organizational relevant outcomes. For returning veterans, deployment to the theater of war, exposure to trauma, PTS symptoms, and resource loss represents a "cascading" chain of events that over time results in a decline of health and functioning as well as in adverse job and organizationally relevant outcomes that may affect organizational effectiveness.