Is Optimism Associated With Healthier Cardiovascular-Related Behavior? Meta-Analyses of 3 Health Behaviors

Optimistic people have reduced risk for cardiovascular disease and cardiovascular-related mortality compared with their less optimistic peers. One explanation for this is that optimistic people may be more likely to engage in healthy behavior like exercising frequently, eating fruits and vegetables, and avoiding cigarette smoking. However, researchers have not formally determined the extent or direction of optimism’s association with health behaviors. Moreover, it is unclear whether optimism temporally precedes health behaviors or whether the relationship is because of shared common causes. We conducted random effects meta-analyses examining optimism’s association with 3 health behaviors relevant for the prevention of cardiovascular disease. PubMed and PsycINFO databases were searched for studies published through November 2017 reporting on optimism’s relationship with physical activity, diet, and cigarette smoking. We identified 34 effect sizes for physical activity (n=90 845), 15 effect sizes for diet (n=47 931), and 15 effect sizes for cigarette smoking (n=15 052). Findings suggested that more optimistic individuals tended to engage in healthier behaviors compared with less optimistic individuals, but effect sizes were modest (ractivity=0.07, P\u3c0.0001; rdiet=0.12, P\u3c0.0001; and rsmoking=0.07, P=0.001). Most evidence was cross-sectional (≥53% of effect sizes) and did not consider sociodemographic characteristics (\u3c53% of effect sizes) or psychological distress (\u3c27% of effect sizes) as potential confounders. Optimism is associated with healthier behaviors that protect against cardiovascular disease, although most evidence was relatively low quality. Additional longitudinal and experimental research is required to determine whether optimism causally contributes to healthy behaviors and whether optimism could be an effective target for preventing cardiovascular disease

Happy Soldiers are Highest Performers

17 USC 105 interim-entered record; under review.The article of record as published may be found at: https://doi.org/10.1007/s10902-021-00441-xWe examined the prediction of affective well-being to work performance in the United States Army. We found that high positive affect (PA), low negative affect (NA), and high optimism predicted awards for performance and heroism in a sample of 908,096 U.S. Army soldiers (mean age 29.60 years old, SD = 9.16 years; with over 1⁄4 of a million ethnic minor- ities and over 150,000 women). Baseline high PA, low NA, and high optimism predicted awards over a four-year follow up window, in which 114,443 soldiers (12.60%) received an award. Each well-being variable predicted future awards for both women and men, for enlisted soldiers as well as officers, for several ethnicities, for varying levels of education, and controlling for a number of other potential explanatory variables. The effects of high positive and low negative affect were additive, with each predicting significantly beyond the other. Comparing the soldiers highest vs. lowest in well-being predicted an almost four- fold greater award recognition in the high group. Awards were predicted by both high and low arousal positive emotions, as well as low sadness and low anger. The relations between PA, NA, and optimism with award attainment were curvilinear, with the greatest difference in award attainment occurring between low and moderate levels of affective well-being, with little effect between moderate and high well-being.Identified in text as U.S. Government work

Optimism and Risk of Incident Hypertension: A Target for Primordial Prevention

Aims Optimism is associated with reduced cardiovascular disease risk; however, few prospective studies have considered optimism in relation to hypertension risk specifically. We investigated whether optimism was associated with a lower risk of developing hypertension in U.S. service members, who are more likely to develop high blood pressure early in life. We also evaluated race/ethnicity, sex and age as potential effect modifiers of these associations. Methods Participants were 103 486 hypertension-free U.S. Army active-duty soldiers (mean age 28.96 years, 61.76% White, 20.04% Black, 11.01% Hispanic, 4.09% Asian, and 3.10% others). We assessed optimism, sociodemographic characteristics, health conditions, health behaviours and depression status at baseline (2009–2010) via self-report and administrative records, and ascertained incident hypertension over follow-up (2010–2014) from electronic health records and health assessments. We used Cox proportional hazards regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), and adjusted models for a broad range of relevant covariates. Results Over a mean follow-up of 3.51 years, 15 052 incident hypertension cases occurred. The highest v. lowest optimism levels were associated with a 22% reduced risk of developing hypertension, after adjusting for all covariates including baseline blood pressure (HR = 0.78; 95% CI = 0.74–0.83). The difference in hypertension risk between the highest v. lowest optimism was also maintained when we excluded soldiers with hypertension in the first two years of follow-up and, separately, when we excluded soldiers with prehypertension at baseline. A dose–response relationship was evident with higher optimism associated with a lower relative risk (p \u3c 0.001). Higher optimism was consistently associated with a lower risk of developing hypertension across sex, age and most race/ethnicity categories. Conclusions In a diverse cohort of initially healthy male and female service members particularly vulnerable to developing hypertension, higher optimism levels were associated with reduced hypertension risk independently of sociodemographic and health factors, a particularly notable finding given the young and healthy population. Results suggest optimism is a health asset and a potential target for public health interventions

The Person-Event Data Environment (PDE): Leveraging Big Data for Studies of Psychological Strengths in Soldiers

The Department of Defense (DoD) strives to efficiently manage the large volumes of administrative data collected and repurpose this information for research and analyses with policy implications. This need is especially present in the United States Army, which maintains numerous electronic databases with information on more than one million Active-Duty, Reserve, and National Guard soldiers, their family members, and Army civilian employees. The accumulation of vast amounts of digitized health, military service, and demographic data thus approaches, and may even exceed, traditional benchmarks for Big Data. Given the challenges of disseminating sensitive personal and health information, the Person-Event Data Environment (PDE) was created to unify disparate Army and DoD databases in a secure cloud-based enclave. This electronic repository serves the ultimate goal of achieving cost efficiencies in psychological and healthcare studies and provides a platform for collaboration among diverse scientists. This paper provides an overview of the uses of the PDE to perform command surveillance and policy analysis for Army leadership. The paper highlights the confluence of both economic and behavioral science perspectives elucidating empirically-based studies examining relations between psychological assets, health, and healthcare utilization. Specific examples explore the role of psychological assets in major cost drivers such as medical expenditures both during deployment and stateside, drug use, attrition from basic training, and low reenlistment rates. Through creation of the PDE, the Army and scientific community can now capitalize on the vast amounts of personnel, financial, medical, training and education, deployment and security systems that influence Army-wide policies and procedures

The Person-Event Data Environment: leveraging big data for studies of psychological strengths in soldiers

The Department of Defense (DoD) strives to efficiently manage the large volumes of administrative data collected and repurpose this information for research and analyses with poliy implications. This need is especially present in the United States Army, which maintains numerous electronic databases with information on more than one million Active-Duty, Reserve, and National Guard soldiers, their family members, and Army civilian employees. The accumulation of vast amounts of digitized health, military service, and demographic data thus approaches, and may even exceed, traditional benchmarks for Big Data. Given the challenges of disseminating sensitive personal and health information, the Person-Event Data Environment (PDE) was created to unify disparate Army and DoD data bases in a securecloud-based enclave. This electronic repository serves the ultimate goal of achieving cost efficiencies in psychological and healthcare studies and provides a platform or collaboration among diverse scientists.This paper provides an overview of the uses of the PDE to perform command surveillance and policy analysis for Army leadership. The paper highlights the confluence of both economic and behavioral science perspective selucidating empirically-based studies examining relations between psychological assets, health, and healthcare utilization. Specific examples explore the role of psychological assets in major cost drivers such as medical expenditures both during deployment and state side, druguse, attrition from basic training, and low reenlistmentrates. Through creation of the PDE, the Army and scientific community can now capitalize on the vast amounts of personnel, financial, medical, training and education, deployment, and security systems that influence Army-wide policies and procedures

The U.S. Army Person-Event Data Environment: A Military–Civilian Big Data Enterprise

This report describes a groundbreaking military–civilian collaboration that benefits from an Army and Department of Defense (DoD) big data business intelligence platform called the Person-Event Data Environment (PDE). The PDE is a consolidated data repository that contains unclassified but sensitive manpower, training, financial, health, and medical records covering U.S. Army personnel (Active Duty, Reserve, and National Guard), civilian contractors, and military dependents. These unique data assets provide a veridical timeline capturing each soldier’s military experience from entry to separation from the armed forces. The PDE was designed to afford unprecedented cost-efficiencies by bringing researchers and military scientists to a single computerized repository rather than porting vast data resources to individual laboratories. With funding from the Robert Wood Johnson Foundation, researchers from the University of Pennsylvania Positive Psychology Center joined forces with the U.S. Army Research Facilitation Laboratory, forming the scientific backbone of the military–civilian collaboration. This unparalleled opportunity was necessitated by a growing need to learn more about relations between psychological and health assets and health outcomes, including healthcare utilization and costs—issues of major importance for both military and civilian population health. The PDE represents more than 100 times the population size and many times the number of linked variables covered by the nation’s leading sources of population health data (e.g., the National Health and Nutrition Examination Survey). Following extensive Army vetting procedures, civilian researchers can mine the PDE’s trove of information using a suite of statistical packages made available in a Citrix Virtual Desktop. A SharePoint collaboration and governance management environment ensures user compliance with federal and DoD regulations concerning human subjects’ protections and also provides a secure portal for multisite collaborations. Taking similarities and differences between military and civilian populations into account, PDE studies can provide much more detailed insight into health-related questions of broad societal concern. Finding ways to make the rich repository of digitized information in the PDE available through military–civilian collaboration can help solve critical medical and behavioral issues affecting the health and well-being of our nations’ military and civilian populations

Individual and experiential predictors of character development across the deployment cycle

The article of record as published may be found at http://dx.doi.org/10.1177/08902070211012931How soldiers adapt to and change in response to the deployment experience has received a great deal of attention. What predicts which soldiers are resilient and which soldiers decline in character strengths across the deployment transition? We examined this question in two analyses drawing from the same data source of soldiers deploying for the first time (Analysis 1: N ¼ 179,026; Analysis 2: N ¼ 85,285; Mage¼ 24.6–24.7 years old, SD ¼ 4.87; 66.5–66.9% White). Specifically, we examined how individual (e.g. sociodemographic, military) and deployment (e.g. stressful experiences) characteristics predict character development across the deployment cycle. Character strengths were assessed once before and up to three times after soldiers’ return from deployment. Reproducing previous work, we found evidence for two classes of change—a resilient class (“stable high”) and a recovery class (“persistent low”). The strongest predictor of high, resilient character strength levels was better self-rated health at baseline. The findings are discussed in the context of the mechanisms that drive character development, evidence for post-traumatic growth, and practical implications for the U.S. ArmyOffice of the Deputy Under Secretary of the ArmyArmy Analytics GroupResearch Facilitation LaboratoryRobert Wood Johnson Foundatio