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.
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http://dx.doi.org/10.1002/smi.3371 | DOI Listing |
Ann Intensive Care
January 2025
Department of Intensive Care, CHIREC Hospitals, Université Libre de Bruxelles, Brussels, Belgium.
Resusc Plus
January 2025
Centre of Excellence for Trauma & Emergencies, The Aga Khan University, Karachi, Pakistan.
Background: Despite extensive research on OHCA in urban centres worldwide, there is a significant gap in knowledge regarding these events in less urbanized regions, especially in Low-Middle-Income Countries (LMICs).
Aim: To determine the characteristics and outcomes of adult out-of-hospital cardiac arrest (OHCA) in rural and suburban districts of Sindh, Pakistan.
Methods: Data of OHCA patients (>18 years) was collected retrospectively from January 2020 to December 2022, from the medical records of district and tehsil hospitals of the province of Sindh Data analysis was performed using the Statistical Package Software for the Social Sciences (SPSS) Statistics 29.
Neurol Genet
December 2024
From the Division of Neurology (A.H.T., S.-Y.L.), Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Programa de Pós-Graduação em Ciências Médicas da Universidade Federal do Rio Grande do Sul (P.S.-A.), Clínica Santa María, Santiago, Chile; Departamento de Farmacologia (A.F.S.S.), Universidade Federal do Rio Grande do Sul; Serviço de Neurologia (A.F.S.S.), Hospital de Clínicas de Porto Alegre, Brazil; Institute of Neurogenetics (H.M., M.L.D., C.K.), University of Lübeck, Germany; Department of Biomedical Science (A.A.-A.), Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; The Michael J. Fox Foundation for Parkinson's Research (J.S., B.F.), New York; Department of Medical and Molecular Genetics (C.E.W.), Indiana University, Indianapolis; Department of Neuroscience and Brain Health (M.L.D.), Metropolitan Medical Center, Manila, Philippines; Centre for Preventive Neurology (S.D., M.T.P., A.J.N.), Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom; Unidad de Trastornos del Movimiento (M.T.P.), Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Spain; Laboratory of Neurogenetics (M.B.M.), National Institute on Aging, National Institutes of Health, Bethesda, MD; Department of Clinical and Movement Neurosciences (M.B.M., H.R.M.), UCL Queen Square Institute of Neurology, University College London, United Kingdom; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York; Movement Disorders Division (R.N.A.), Neurological Institute, Tel Aviv Sourasky Medical Center and Tel Aviv School of Medicine, Tel Aviv University, Israel; Molecular Medicine Laboratory and Neurology Department (K.R.K.), Concord Clinical School, Concord Repatriation General Hospital, The University of Sydney; Translational Neurogenomics Group (K.R.K.), Genomic and Inherited Disease Program, Garvan Institute of Medical Research; and St Vincent's Healthcare Campus (K.R.K.), Faculty of Medicine, UNSW Sydney, Darlinghurst, New South Wales, Australia.
Background And Objectives: In the era of precision medicine, genetic test results have become increasingly relevant in the care of patients with Parkinson disease (PD). While large research consortia are performing widespread research genetic testing to accelerate discoveries, debate continues about whether, and to what extent, the results should be returned to patients. Ethically, it is imperative to keep participants informed, especially when findings are potentially actionable.
View Article and Find Full Text PDFHealth Expect
February 2025
Centre for Research in Public Health and Community Care (CRIPACC), University of Hertfordshire, Hatfield, UK.
Introduction: Information on care home residents in England is captured in numerous data sets (care home records, General Practitioner records, community nursing, etc.) but little of this information is currently analysed in a way that is useful for care providers, current or future residents and families or that realises the potential of data to enhance care provision. The DACHA study aimed to develop and test a minimum data set (MDS) which would bring together data that is useful to support and improve care and facilitate research.
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