The Comprehensive Female Soldier Support Model

Women represent a small minority in the U.S. military and an even smaller minority in the military chaplaincy. Prior to this study, the U.S. Army chaplaincy did not have a gender-specific model for providing support to women soldiers. In this Delphi research project, wounded women soldiers and female military chaplains provided expert opinions to develop the comprehensive female soldier support model (CFS2). Ten military women and 11 female chaplains who had been deployed overseas contributed to the body of knowledge related to the understanding of the emotional and spiritual support needs of wounded female soldiers. Five key findings appeared in the study: (a) many women did not get the chaplain support they needed; (b) the gender of the chaplain was not significant; (c) the attitude of the chaplain was critical; (d) chaplain skills not found in literature were identified; and (e) the comprehensive female soldier support model was developed.     

The relationship between progestin hormonal contraception and depression: a systematic review

Objective

We performed a systematic review to look for an association between progestin-only contraception and depression.

Risky Driving Behaviors for Older Adults: Differences by Veteran’s Status

Veterans are at an increased risk of being injured or killed in motor vehicle crashes, potentially due to their proclivity to engage in risky driving behaviors. However, most research in this area has focused on driving behaviors of veterans who have recently returned home after deployment. No research has focused on risky driving behaviors of older veterans (aged 65 or older) and if risky driving behaviors extend beyond the time period immediately following return from deployment. The purpose of this research is to determine if differences exist in risky driving behaviors of veterans and non-veterans aged 65 or older. This study used data from the 2011 National Health and Aging Trend Study (NHATS), a nationally representative, longitudinal survey of community-dwelling, Medicare beneficiaries aged 65 or older. Binary logistic regression analyses were conducted in 2017 to determine if veteran’s status was predictive of specific risky driving behaviors. Veteran’s status was found to be predictive of specific driving behaviors for adults aged 65 and older, with non-veterans significantly more likely than veterans to: not currently drive; avoid driving at night; avoid driving alone; avoid driving on busy roads or highways; and avoid driving in bad weather. The results of this study highlight the need to further understand the effects of veteran’s status on risky driving behaviors among older adults, specifically, whether veteran’s status compounds driving-related risks associated with aging-related physical and mental changes.