The Enriched Life Scale (ELS): Development, exploratory factor analysis, and preliminary construct validity for U.S. military veteran and civilian samples

Digital Life Data in the Clinical Whitespace

In our increasingly digital world, aspects of our lives are encoded in the routine interactions we have with technology. Over the past few years, psychologists and technologists have been exploring what possibilities these digital life data might hold for improving mental health and well-being. Here I examine some of the recent advances in this field, particularly in the use of language data; consider the ethical and pragmatic implications of this technology; and examine a few areas where I believe these advances could significantly alter the way in which mental health and well-being are approached. This technology holds special promise for providing information about a patient’s life in between clinical encounters, in the clinical whitespace.

Differences in functional and structural social support among female and male veterans and civilians

PURPOSE

Social support is an important correlate of health behaviors and outcomes. Studies suggest that veterans have lower social support than civilians, but interpretation is hindered by methodological limitations. Furthermore, little is known about how sex influences veteran-civilian differences. Therefore, we examined veteran-civilian differences in several dimensions of social support and whether differences varied by sex.

METHODS

We performed a cross-sectional analysis of the 2012-2013 National Epidemiologic Survey of Alcohol and Related Conditions-III, a nationally representative sample of 34,331 respondents (male veterans = 2569; female veterans = 356). We examined veteran-civilian differences in functional and structural social support using linear regression and variation by sex with interactions. We adjusted for socio-demographics, childhood experiences, and physical and mental health.

RESULTS

Compared to civilians, veterans had lower social network diversity scores (difference [diff] = - 0.13, 95% confidence interval [CI] - 0.23, - 0.03). Among women but not men, veterans had smaller social network size (diff = - 2.27, 95% CI - 3.81, - 0.73) than civilians, attributable to differences in religious groups, volunteers, and coworkers. Among men, veterans had lower social network diversity scores than civilians (diff = - 0.13, 95% CI - 0.23, - 0.03); while among women, the difference was similar but did not reach statistical significance (diff = - 0.13, 95% CI - 0.23, 0.09). There was limited evidence of functional social support differences.

CONCLUSION

After accounting for factors that influence military entry and social support, veterans reported significantly lower structural social support, which may be attributable to reintegration challenges and geographic mobility. Findings suggest that veterans could benefit from programs to enhance structural social support and improve health outcomes, with female veterans potentially in greatest need.

Confirmatory Factor Analysis of the Enriched Life Scale Among US Military Veterans

The Enriched Life Scale (ELS) is a 40-item measure developed by the military veteran service organization, Team Red, White & Blue (RWB), to systematically capture and quantify the lived experiences of military veterans transitioning to civilian life. As Team RWB's mission is to "enrich veterans' lives," veterans who conceived of and co-developed the ELS as a psychometric instrument defined what an "enriched life" would entail. Exploratory factor analysis (EFA) of the ELS revealed a five-factor structure capturing the domains of: physical health, mental health, genuine relationships, sense of purpose, and engaged citizenship. The goal of the current study was to use confirmatory factor analysis to validate the factor structure of the ELS in a sample of veterans not affiliated with Team RWB. We also sought to explore convergent validity with the Military to Civilian Questionnaire, a measure of military to civilian reintegration challenges. Five hundred and twenty-nine veterans participated in the study. We estimated three models, one-factor, four-factor, and five-factor model via maximum likelihood estimation with robust Huber-White standard errors. The five-factor model showed the best fit to the data (RMSEA = 0.05, CFI = 0.90, TLI = 0.90, SRMR = 0.06). Additionally, the five-factor model demonstrated convergent and discriminant validity, as well as internal consistency reliability (genuine relationships, α = 0.90; sense of purpose, α = 0.93; engaged citizenship, α = 0.89; mental health, α = 0.88; and physical health, α = 0.78). Overall, the ELS is a valid and reliable measure of veteran enrichment and could potentially be used in conjunction with diagnostic instruments that capture strain-related transition challenges (to include mental health disorders) to capture post-military service wellbeing.