Predictors of Emerging Suicide Death Among Military Personnel on Social Media Networks
C. Bryan +5 more
semanticscholar +1 more source
Weaponizing Nature, Naturalizing Violence: Anthropologies of Ecofascism
ABSTRACT After decades of denial and obstruction, the global Right is increasingly willing to acknowledge that climate change is a threat to lives and lifeways everywhere. Moreover, some seize on the specter of ecological collapse to advance fascistic politics.
Chloe Ahmann +7 more
wiley +1 more source
Body mass index and physical training-related injuries in military personnel: a systematic review and meta-regression analysis. [PDF]
Lan W +5 more
europepmc +1 more source
Nightmares in United States Military Personnel With Sleep Disturbances
J. Creamer +4 more
semanticscholar +1 more source
Phantasmic Encounters in the Arctic: Haunting Materialities Beyond the Ghosts of War
ABSTRACT In the vast north, ghostly experiences are common for locals and outsiders alike. Here, we explore how cultural‐natural attributes, like remoteness and extreme seasonal variation, compound experiences of the haunting in visceral ways. This provides the Arctic region with an unusually pronounced baseline of other‐than‐human agency, which in the
Aki Hakonen, Oula Seitsonen
wiley +1 more source
Clinician Assessed Rates of PTSD and Complex PTSD in a Medical-Rehabilitation Sample of Active-Duty Military Personnel in the Armed Forces of Ukraine. [PDF]
Hyland P +11 more
europepmc +1 more source
Military Personnel Who Seek Health and Mental Health Services Outside the Military.
H. Waitzkin +5 more
semanticscholar +1 more source
Preterm Birth in the West Bank, Palestine: Insights From a Hospital‐Based Cohort Study
ABSTRACT Aim Preterm birth (PTB), delivery before 37 completed weeks of gestation, remains a major cause of neonatal morbidity and mortality. Evidence from conflict‐affected, resource‐limited settings such as the West Bank, Palestine, is limited. This study aimed to estimate PTB incidence and identify maternal, neonatal and socioeconomic risk factors ...
Amani Salem Ahmad Salim +2 more
wiley +1 more source
Early risk detection of metabolic syndrome using sex-specific machine learning models in military personnel. [PDF]
Wang WY, Wu YS, Huang Y, Tzeng WC.
europepmc +1 more source

