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Many experts now recognize that income is not a measure that alone captures the wellbeing of individuals, and governments around the world are starting to rethink the ways in which they measure the welfare of their citizens. Wellbeing is best understood as a multifaceted phenomenon that can be assessed by measuring a wide array of subjective and objective constructs. This review summarizes the state of research on the various domains of wellbeing measured by psychologists and social scientists, and provides an overview of the main theoretical perspectives that integrate these domains. Among these theoretical perspectives, we highlight Well-being Theory, which decomposes the wellbeing construct into five domains: Positive emotion, Engagement, Relationships, Meaning, and Accomplishment (PERMA). We conclude by formulating recommendations for future research on the measurement of wellbeing. These recommendations include the need to combine both objective and subjective indicators, and the use of a dashboard approach to measurement. This approach conveys the multifaceted nature of wellbeing and will help policy-makers and citizens understand which domains of wellbeing should constitute priorities for public policy.

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.

IMPORTANCE: Pain after deployment is a major health care concern. While risk factors have been previously studied, few studies have explored protective factors. OBJECTIVE: To examine the prospective association between predeployment optimism and the onset of new pain after deployment in US Army soldiers. DESIGN, SETTING, AND PARTICIPANTS: This prospective longitudinal cohort study examined US Army soldiers (active duty, Reserve, and National Guard) who deployed to Afghanistan or Iraq between February 12, 2010, and August 29, 2014, and completed the necessary psychological and health assessments before and after deployment. Analyses were performed in the Person-Event Data Environment between July 2016 and November 2018. This study relied exclusively on existing, secondary Army data. Of the 413 763 Army soldiers who met the specified deployment criteria, 385 925 soldiers were missing 1 or more of the required assessment forms. Of the remaining 27 838 soldiers who were examined for eligibility, 7104 soldiers were excluded because of preexisting back pain, joint pain, or frequent headaches. These exclusions resulted in a final analytic sample of 20 734 eligible soldiers. MAIN OUTCOMES AND MEASURES: This study examined new reports of pain after deployment, including new back pain, joint pain, and frequent headaches. RESULTS: Among 20 734 US Army soldiers (87.8% male; mean [SD] age, 29.06 [8.42] years), 37.3% reported pain in at least 1 new area of the body after deployment: 25.3% reported new back pain, 23.1% reported new joint pain, and 12.1% reported new frequent headaches. As a continuous measure, each 1-U increase in optimism was associated with 11% lower odds of reporting any new pain after deployment, even while adjusting for demographic, military, and combat factors (odds ratio, 0.89; 95% CI, 0.86-0.93). Tertile analyses revealed that compared with soldiers with high optimism (lowest odds of new pain) soldiers with low optimism had 35% greater odds of reporting new pain in any of the 3 sites evaluated (odds ...