Suchergebnisse

The need to understand the impact of war on military families has never been greater than during the past decade, with more than three million military spouses and children affected by deployments to Operations Iraqi Freedom and Enduring Freedom. Understanding the impact of the recent conflicts on families is a national priority, however, most studies have examined spouses and children individually, rather than concurrently as families. The Department of Defense (DoD) has recently initiated the largest study of military families in US military history (the Millennium Cohort Family Study), which includes dyads of military service members and their spouses (n > 10,000). This study includes US military families across the globe with planned follow‐up for 21+ years to evaluate the impact of military experiences on families, including both during and after military service time. This review provides a comprehensive description of this landmark study including details on the research objectives, methodology, survey instrument, ancillary data sets, and analytic plans. The Millennium Cohort Family Study offers a unique opportunity to define the challenges that military families experience, and to advance the understanding of protective and vulnerability factors for designing training and treatment programs that will benefit military families today and into the future. Copyright © 2014 John Wiley & Sons, Ltd.

Abstract Background Longitudinal cohort studies are highly valued in epidemiologic research for their ability to establish exposure-disease associations through known temporal sequences. A major challenge in cohort studies is recruiting individuals representative of the targeted sample population to ensure the generalizability of the study's findings. Methods We evaluated nearly 350,000 invited subjects (from 2004-2008) of the Millennium Cohort Study, a prospective cohort study of the health of US military personnel, for factors prior to invitation associated with study enrollment. Multivariable logistic regression was utilized, adjusting for demographic and other confounders, to determine the associations between both deployment experience and prior healthcare utilization with enrollment into the study. Results Study enrollment was significantly greater among those who deployed prior to and/or during the enrollment cycles or had at least one outpatient visit in the 12 months prior to invitation. Mental disorders and hospitalization for more than two days within the past year were associated with reduced odds of enrollment. Conclusions These findings suggest differential enrollment by deployment experience and health status, and may help guide recruitment efforts in future studies.

Prior studies have shown that weight may impact immune cell counts. However, few data exist about the relationship of weight and immune cell counts among HIV-infected patients. We examined documented HIV seroconverters (mean window, 15.7 months) in a prospective U.S. Military HIV Natural History Study (1 January 1986 to 20 January 2010). We estimated the association of the time-updated body mass index (BMI) category with changes in immune cell counts from HIV diagnosis across time (mean follow-up of 5.1 years) using multiply adjusted longitudinal linear mixed-effects models. Of 1,097 HIV seroconverters, 448 (41%) were overweight and 93 (8%) were obese at HIV diagnosis. Immune cell counts at HIV diagnosis did not significantly differ by BMI category. In the longitudinal models for those diagnosed before the advent of the highly active antiretroviral therapy (HAART) era, mean postdiagnosis decreases in the white cell count, total lymphocyte count, CD4 count, CD4 percentage, and CD4/CD8 ratio were less as the BMI category increased (all with P values of <0.05). Among HIV seroconverters diagnosed in the HAART era, obese compared to normal-weight patients had significantly smaller increases in CD4 counts, CD4 percentages, and the CD4/CD8 ratio (all with P values of <0.05). Similar findings were also noted among underweight versus normal-weight patients. In conclusion, although BMI was not associated with immune cell levels at the time of HIV diagnosis, weight appears to affect immune cells counts over the course of infection. In the HAART era, being either underweight or obese was associated with smaller increases in several important immune cell levels, including the CD4/CD8 ratio.

To determine whether hepatitis E virus (HEV) is a cause of hepatitis among HIV-infected persons, we evaluated 1985–2009 data for US military beneficiaries. Evidence of acute or prior HEV infection was detected for 7 (4%) and 5 (3%) of 194 HIV-infected persons, respectively. HEV might be a cause of acute hepatitis among HIV-infected persons.

The influence of highly active antiretroviral therapy (HAART) upon hepatitis B virus (HBV) vaccine responses in HIV-infected individuals is unclear. After classification of vaccinees as non-responders (HBsAb <10 IU/L) or responders (HBsAb ≥10 IU/L) in our HIV cohort, multivariate logistic regression was used to assess factors associated with subsequent vaccine response. Of 626 participants vaccinated from 1988–2005, 217 (35%) were vaccine responders. Receipt of ≥3 doses of vaccine (OR 1.83, 95% CI 1.24–2.70), higher CD4 count at vaccination (OR 1.09, 95% CI 1.05–1.13 per 50 cells/μl increase), and use of HAART (OR 2.37, 95% CI 1.56–3.62) were all associated with increased likelihood of developing a response. However, only 49% of those on HAART at last vaccination responded, and 62% of those on HAART, with CD4 count ≥350, and HIV RNA <400 copies/mL responded. Compared to those on HAART with CD4 count ≥350, those not on HAART with CD4 count ≥350 had significantly reduced odds of developing a vaccine response (OR 0.47, 95% CI 0.30–0.70). While HAART use concurrent with HBV immunization was associated with increased probability of responding to the vaccine, the response rate was low for those on HAART. These data provide additional evidence of HAART benefits, even in those with higher CD4 counts, but also highlight the need for improving HBV vaccine immunogenicity.

BackgroundSleep disturbances are reportedly common among persons infected with human immunodeficiency virus (HIV), but recent data, including comparisons with HIV-uninfected persons, are limited.MethodsWe performed a cross-sectional study among early-treated HIV-infected military beneficiaries (n = 193) to determine the prevalence and factors associated with insomnia (Pittsburgh Sleep Quality Index [PSQI]) and daytime sleepiness (Epworth Sleepiness Scale [ESS]). Data were compared with HIV-uninfected persons (n = 50) matched by age, sex, race or ethnicity, and military rank.ResultsForty-six percent of HIV-infected persons had insomnia (PSQI >5), and 30% reported daytime drowsiness (ESS ≥10). The prevalence of insomnia and daytime sleepiness was not significantly higher compared with the HIV-uninfected group (38% [P = .30] and 20% [P = .18], respectively). In the multivariate model, factors associated with insomnia among HIV infected patients included depression (odds ratio [OR], 16.8; 95% confidence interval [CI], 2.0-142.1; P = .01), increased waist size (OR, 2.7; 95% CI, 1.4-5.1; P = .002), and fewer years of education (OR, 0.8; 95% CI, .7-.95; P = .006). Neurocognitive impairment (diagnosed in 19% of HIV-infected participants) was not associated with insomnia; however, HIV-infected persons with insomnia were 3.1-fold more likely to have a decline in activities of daily living than those without insomnia (23% vs 9%; P = .01). Only 18% of HIV-infected persons reported using a sleep medication at least weekly.ConclusionsHIV-infected persons have a high prevalence of insomnia, but among an early-treated cohort this rate was not significantly higher compared with HIV-uninfected persons. Factors associated with insomnia among HIV-infected patients include depression and increased waist size. Prompt diagnosis and treatment of sleep disturbances are advocated and may improve quality of life.

BackgroundSleep disturbances are reportedly common among persons infected with human immunodeficiency virus (HIV), but recent data, including comparisons with HIV-uninfected persons, are limited.MethodsWe performed a cross-sectional study among early-treated HIV-infected military beneficiaries (n = 193) to determine the prevalence and factors associated with insomnia (Pittsburgh Sleep Quality Index [PSQI]) and daytime sleepiness (Epworth Sleepiness Scale [ESS]). Data were compared with HIV-uninfected persons (n = 50) matched by age, sex, race or ethnicity, and military rank.ResultsForty-six percent of HIV-infected persons had insomnia (PSQI >5), and 30% reported daytime drowsiness (ESS ≥10). The prevalence of insomnia and daytime sleepiness was not significantly higher compared with the HIV-uninfected group (38% [P = .30] and 20% [P = .18], respectively). In the multivariate model, factors associated with insomnia among HIV infected patients included depression (odds ratio [OR], 16.8; 95% confidence interval [CI], 2.0-142.1; P = .01), increased waist size (OR, 2.7; 95% CI, 1.4-5.1; P = .002), and fewer years of education (OR, 0.8; 95% CI, .7-.95; P = .006). Neurocognitive impairment (diagnosed in 19% of HIV-infected participants) was not associated with insomnia; however, HIV-infected persons with insomnia were 3.1-fold more likely to have a decline in activities of daily living than those without insomnia (23% vs 9%; P = .01). Only 18% of HIV-infected persons reported using a sleep medication at least weekly.ConclusionsHIV-infected persons have a high prevalence of insomnia, but among an early-treated cohort this rate was not significantly higher compared with HIV-uninfected persons. Factors associated with insomnia among HIV-infected patients include depression and increased waist size. Prompt diagnosis and treatment of sleep disturbances are advocated and may improve quality of life.

Objectives. We examined whether military service, including deployment and combat experience, were related to smoking initiation and relapse.

ObjectiveTo describe the prevalence of neurocognitive impairment (NCI) among early diagnosed and managed HIV-infected persons (HIV+) compared to HIV-negative controls.MethodsWe performed a cross-sectional study among 200 HIV+ and 50 matched HIV-uninfected (HIV-) military beneficiaries. HIV+ patients were categorized as earlier (200 cells/mm(3)) or later stage patients (n = 100 in each group); both groups were diagnosed early and had access to care. NCI was diagnosed using a comprehensive battery of standardized neuropsychological tests.ResultsHIV+ patients had a median age of 36 years, 91% were seroconverters (median window of 1.2 years), had a median duration of HIV of 5 years, had a CD4 nadir of 319, had current CD4 of 546 cells/mm(3), and 64% were on highly active antiretroviral therapy (initiated 1.3 years after diagnosis at a median CD4 of 333 cells/mm(3)). NCI was diagnosed among 38 (19%, 95% confidence interval 14%-25%) HIV+ patients, with a similar prevalence of NCI among earlier and later stage patients (18% vs 20%, p = 0.72). The prevalence of NCI among HIV+ patients was similar to HIV- patients.ConclusionsHIV+ patients diagnosed and managed early during the course of HIV infection had a low prevalence of NCI, comparable to matched HIV-uninfected persons. Early recognition and management of HIV infection may be important in limiting neurocognitive impairment.

ObjectiveTo describe the prevalence of neurocognitive impairment (NCI) among early diagnosed and managed HIV-infected persons (HIV+) compared to HIV-negative controls.MethodsWe performed a cross-sectional study among 200 HIV+ and 50 matched HIV-uninfected (HIV-) military beneficiaries. HIV+ patients were categorized as earlier (200 cells/mm(3)) or later stage patients (n = 100 in each group); both groups were diagnosed early and had access to care. NCI was diagnosed using a comprehensive battery of standardized neuropsychological tests.ResultsHIV+ patients had a median age of 36 years, 91% were seroconverters (median window of 1.2 years), had a median duration of HIV of 5 years, had a CD4 nadir of 319, had current CD4 of 546 cells/mm(3), and 64% were on highly active antiretroviral therapy (initiated 1.3 years after diagnosis at a median CD4 of 333 cells/mm(3)). NCI was diagnosed among 38 (19%, 95% confidence interval 14%-25%) HIV+ patients, with a similar prevalence of NCI among earlier and later stage patients (18% vs 20%, p = 0.72). The prevalence of NCI among HIV+ patients was similar to HIV- patients.ConclusionsHIV+ patients diagnosed and managed early during the course of HIV infection had a low prevalence of NCI, comparable to matched HIV-uninfected persons. Early recognition and management of HIV infection may be important in limiting neurocognitive impairment.

Objective: Neurocognitive impairment (NCI) is a well-known complication of human immunodeficiency virus (HIV) infection and may be influenced by a number of psychological factors. We examined the relationship between NCI and mental health disorders, including posttraumatic stress disorder (PTSD), in a cohort of 189 active-duty and retired U.S. military men living with HIV. Methods: Participants completed selected modules of the Composite International Diagnostic Interview (CIDI) to ascertain the presence of PTSD, major depressive disorder, and other mental health diagnoses. We also obtained demographic data, including history of head trauma, via personal interview. NCI was assessed with a comprehensive battery of standardized neuropsychological tests. Results: The median age of study subjects was 36 years (interquartile range [IQR] 28 to 43) and median total years of education was 14 (IQR 12 to 16). NCI was diagnosed in 19% of subjects. Individuals with and without a history of PTSD were similar with respect to most HIV-related characteristics; however, the former were significantly more likely to have a prior acquired immunodeficiency syndrome (AIDS) diagnosis. In multivariate analysis, lifetime history of PTSD was independently associated with NCI (odds ration [OR] = 6.12; 95% confidence interval [CI] = 1.85, 20.27), while a history of head of trauma was negatively associated (OR = 0.37 95% CI = 0.15,0.92). Conclusions: Our findings demonstrate that PTSD is an important predictor of NCI in this U.S. military cohort. HIV-infected individuals with cognitive difficulties should be screened for mental health disorders, including PTSD, and prospective studies of the longitudinal relationship between PTSD and NCI, as well as the impact of PTSD treatment on future NCI, are warranted.

OBJECTIVE: Neurocognitive impairment (NCI) is a well-known complication of HIV infection and may be influenced by a number of psychological factors. We examined the relationship between NCI and mental health disorders, including post-traumatic stress disorder (PTSD), in a cohort of 189 active-duty and retired U.S. military men living with HIV. METHODS: Participants completed selected modules of the Composite International Diagnostic Interview (CIDI) to ascertain the presence of PTSD, major depressive disorder and other mental health diagnoses. We also obtained demographic data including history of head trauma via personal interview. NCI was assessed with a comprehensive battery of standardized neuropsychological tests. RESULTS: The median age of study subjects was 36 years (interquartile range [IQR] 28–43) and median total years of education was 14 (IQR 12–16). NCI was diagnosed in 19% of subjects. Individuals with and without a history of PTSD were similar with respect to most HIV-related characteristics, however, the former were significantly more likely to have a prior AIDS diagnosis. In multivariate analysis, lifetime history of PTSD was independently associated with NCI (OR 6.12; 95% CI 1.85, 20.27), while a history of head of trauma was negatively associated (OR 0.37 95% CI 0.15,0.92). CONCLUSIONS: Our findings demonstrate that PTSD is an important predictor of NCI in this U.S. military cohort. HIV-infected individuals with cognitive difficulties should be screened for mental health disorders including PTSD, and prospective studies of the longitudinal relationship between PTSD and NCI as well as the impact of PTSD treatment on future NCI are warranted.