3 results match your criteria: "Yale School of Public Health (RHP)[Affiliation]"
Am J Geriatr Psychiatry
February 2023
Department of Psychiatry, Yale School of Medicine (SN, JHK, JG, JLM-O, RHP), New Haven, CT; U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System (JHK, JG, RHP), West Haven, CT; Department of Social and Behavioral Sciences, Yale School of Public Health (RHP), New Haven, CT.
Objective: Veterans are at high risk for health morbidities linked to premature mortality. Recently developed "epigenetic clock" algorithms, which compute intra-individual differences between biological and chronological aging, can help inform prediction of accelerated biological aging and mortality risk. To date, however, scarce research has examined potentially modifiable correlates of GrimAge, a novel epigenetic clock comprised of DNA methylation surrogates of plasma proteins and smoking pack-years associated with various morbidities and time-to-death.
View Article and Find Full Text PDFAm J Geriatr Psychiatry
May 2022
U.S. Department of Veterans Affairs National Center for PTSD, VA Connecticut Healthcare System (JC, RHP), West Haven, CT; Department of Psychiatry, Yale School of Medicine (JC, RHP), New Haven, CT; Department of Social and Behavioral Sciences, Yale School of Public Health (RHP), New Haven, CT.
Objective: To characterize the prevalence, characteristics, and comorbidities of subthreshold and full post-traumatic stress disorder (PTSD) in older U.S. military veterans.
View Article and Find Full Text PDFAm J Geriatr Psychiatry
March 2021
Department of Psychiatry, Yale University School of Medicine (RHP, SMS), New Haven, CT.
Objective: To identify the current prevalence, and sociodemographic, military, health, and psychosocial correlates of successful aging in older US veterans.
Methods: Data were analyzed from the 2019-2020 National Health and Resilience in Veterans Study, which surveyed a nationally representative sample of 3,001 US veterans aged greater than or equal to 60 years (mean = 73). Multiple regression and relative importance analyses were conducted to identify key factors associated with successful aging.