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A prospective study of marital distress and mental health symptoms across the deployment cycle.

Leanne K KnoblochMark A Whisman
Published in: Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) (2023)
Although recent findings imply that marital distress and mental health symptoms are intertwined among military personnel, a prospective longitudinal study is needed to evaluate the bidirectionality of the link between marital distress and mental health symptoms across the deployment cycle. We investigated over time associations using data from the Pre-Post Deployment Study component of the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS). Married soldiers ( N = 2,585) reported on their marital distress, anxiety symptoms, depressive symptoms, and posttraumatic stress disorder (PTSD) symptoms 1 month before deploying to Afghanistan and 3 months and 9 months after they returned home. The data were analyzed using cross-lagged panel models, adjusting for a variety of demographic and military covariates (including deployment stress, measured 1 month after homecoming). Results indicated (a) no associations between marital distress and mental health symptoms during the 13-month lag from predeployment to postdeployment, (b) bidirectional associations between marital distress and symptoms of anxiety and depression during the 6-month lag from 3 to 9 months after homecoming, and (c) a unidirectional association from PTSD symptoms to marital distress during the 6-month lag from 3 to 9 months after homecoming. These findings shed light on a lingering debate about the directionality of the longitudinal association between marital distress and psychopathology. They also imply points of intervention to help buffer military personnel from the harmful effects of marital distress and mental health symptoms across the deployment cycle. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Keyphrases
  • mental health
  • posttraumatic stress disorder
  • sleep quality
  • depressive symptoms
  • randomized controlled trial
  • emergency department
  • social support
  • big data
  • physical activity
  • deep learning