The role of problem solving appraisal and support in the relationship between stress exposure and posttraumatic stress symptoms of military spouses and service member partners.

Using a stress process lens, this paper considers the interrelationship between individual and family-level stress exposures and military spouse resources, including problem-solving appraisals and problem-solving support (PSS), and their associations with posttraumatic stress symptoms (PTSS) among both partners in military marital dyads. The study employs data from the Millennium Cohort Family Study, a longitudinal survey of married military dyads, with an initial panel of 9,872 spouses enroled from 2011 to 2013. A structural equation model explored the associations between service member and spouse childhood maltreatment exposure, nonmilitary and military stressors, as well as interactions with spouse resources on self-reported PTSS among both service member (SM) and spouse (SP). Among our findings, spouse childhood maltreatment muted later self-reported problem-solving appraisal and support. Spouse resources, in turn, had both protective (problem-solving appraisal) and promotive (problem-solving support) effects on PTSS for both service members and spouses. These findings emphasise the central role of spouses in military families, as more psychological resources among spouses appeared to buffer against the deleterious effects of stress exposure on both their own and their partners mental health.

Early and recent military and nonmilitary stressors associated with posttraumatic stress symptoms among military service members and their spouses.

Disparities in posttraumatic stress symptoms (PTSS) have been observed among military service members (SMs) and spouses (SPs) compared to their civilian peers, but exposure to military stressors does not adequately explain observed differences. Using a stress process framework, this study considered the associations between early and recent military and nonmilitary stressors and PTSS among SMs and SPs. We analyzed data from 3,314 SM-SP dyads in the Millennium Cohort and Millennium Cohort Family Studies. Accounting for covariates, multiple linear regression and dominance analyses were employed to consider the effects of SM and SP childhood maltreatment, recent nonmilitary stressors (e.g., financial difficulties), and recent military stressors (e.g., deployment) on their own and their partner's self-reported PTSS. For both SMs and SPs, childhood maltreatment was the strongest predictor of their own PTSS, followed by nonmilitary stressors. Couple crossover dynamics were evident as SP maltreatment and nonmilitary stressors significantly predicted SM PTSS, and SM maltreatment predicted SP PTSS. Maltreatment also multiplied the effects of SM, product term B = 0.92, p = .031, and SP, product term B = 0.75, p = .004, nonmilitary stressors. The findings emphasize the essential role of exposure to early adversity in understanding PTSS among SMs and SPs, as childhood maltreatment strongly predicted PTSS and exacerbated the effects of other stressors on PTSS. Providers should assess for early adversity among both SMs and SPs and consider the provision of services at the couple level given the potential for the transmission of stress within couples.

Pre- and Perinatal Risk Factors for Child Maltreatment in Military Families Across the First Two Years of Life.

Military families are exposed to a unique constellation of risk factors, which may impact maltreatment outcomes. The present study examined prospective relationships between demographic, health, birth-related, and military-specific risk factors identified prior to a child's birth on their risk for maltreatment in the first two years of life. Data from the Millennium Cohort Study, Department of Defense (DoD) operational records and Family Advocacy Program data on met-criteria maltreatment, and Birth and Infant Health Research program data on suspected maltreatment were linked for 9076 service member parents. Discrete time survival analysis showed that preterm birth increased risk of maltreatment while parents' older age, physical health, and service in the Navy or Air Force decreased risk. Building on DoD's New Parent Support Program, findings suggest the need for universal and targeted prevention efforts, beginning during pregnancy, which limit or eliminate risk factors for maltreatment in military families.

Risk and protective factors predictive of marital instability in U.S. military couples.

The objective of this study was to predict marital instability from a range of risk and protective factors in a large, representative cohort of military couples participating in the Millennium Cohort Family Study. Online and paper surveys were administered to service members and their spouses in 2011-2013, which captured couples' demographic and background characteristics, family stressors, military experiences, and mental health risk factors as well as protective factors including family communication, and military support and satisfaction. Approximately 3 years later, change in marital status was examined among participants who completed a follow-up survey (n = 6,494 couples). Hierarchical logistic regression models indicated that couples' younger age, lower education, childhood trauma, spouse employment status, mental health, and lower levels of communication contributed significant unique risk for marital instability. Moderation analyses by service member gender and spouse military status revealed that social isolation increased odds of marital instability for couples in which the service member was male but was not evidenced for couples in which the service member was female. Further, combat experience increased odds of marital instability for couples in which the service member was married to a veteran spouse but not for service members married to a dual-military or civilian spouse. Findings from this study can be used to target specific couple risk factors for marital instability and to tailor programs to at-risk subgroups. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Post hoc power analysis: is it an informative and meaningful analysis?

Power analysis is a key component for planning prospective studies such as clinical trials. However, some journals in biomedical and psychosocial sciences ask for power analysis for data already collected and analysed before accepting manuscripts for publication. In this report, post hoc power analysis for retrospective studies is examined and the informativeness of understanding the power for detecting significant effects of the results analysed, using the same data on which the power analysis is based, is scrutinised. Monte Carlo simulation is used to investigate the performance of posthoc power analysis.

Guidance for use of weights: an analysis of different types of weights and their implications when using SAS PROCs.

SAS and other popular statistical packages provide support for survey data with sampling weights. For example, PROC MEANS and PROC LOGISTIC in SAS have their counterparts PROC SURVEYMEANS and PROC SURVEYLOGISTIC to facilitate analysis of data from complex survey studies. On the other hand, PROC MEANS and many other classic SAS procedures also provide an option for including weights and yield identical point estimates, but different standard errors (SEs), as their corresponding survey procedures. This paper takes an in-depth look at different types of weights and provides guidance on use of different SAS procedures.