Savanna Elizabeth Stromberg
Associate Project Coordinator, Psych/Public Mental Health & Population Sciences
Bio
Savanna Stromberg, BS, is an Associate Project Coordinator at Stanford CDI, who will be working across projects on C-DIAS, CMHIS, and RASC. She recently received her BS in Psychology from the University of Washington, where she conducted research on trauma and mental health outcomes in the Honors Psychology program. With a strong interest in substance use interventions and mental health, Savanna is eager to expand her expertise in implementation research. At Stanford CDI, Savanna supports multi-project management, helps build and organize data, and assists with the development, communication, and design of research findings to internal and external audiences.
All Publications
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Posttraumatic stress disorder and climate change: A meta-analysis of prospective, acute predictors of PTSD following extreme weather events
CLINICAL PSYCHOLOGY REVIEW
2025; 122: 102662
Abstract
Extreme weather events are increasing in intensity and frequency due to climate change. Better understanding key prospective predictors of chronic posttraumatic stress disorder (PTSD) present in the acute wake of a disaster is essential to allocating limited resources to those at greatest risk. Additionally, identifying prospective predictors of PTSD may help elucidate etiological factors that could be harnessed for psychological interventions to prevent chronic PTSD.PubMed, PsycInfo and PTSDPubs were systematically searched in February 2025 for longitudinal studies prospectively examining PTSD in adults following extreme weather events (e.g., hurricanes) with at least one pre-disaster or acutely post-disaster (< 18 months) timepoint. Effect sizes of demographic (e.g., gender), pre-event (e.g., pre-disaster psychopathology), and environmental factors (e.g., social support) were extracted and synthesized as correlations using random effects modeling.Forty-seven unique samples (N = 25,085) were included, with a majority collected in North America (63.83 %). The most frequent disaster type was hurricanes/typhoons (53.19 %). Severity of disaster exposure (r = 0.26), income (r = -0.26), and prior psychopathology (r = 0.26) emerged as the strongest predictors of PTSD.This is the first meta-analysis to examine prospective predictors of PTSD following extreme weather events collectively. The small- to moderate-sized effects observed suggest that predictors likely operate cumulatively to confer risk. Relative to other trauma types, access to resources, such as higher income, may be an important buffer against mental health problems. Future work should investigate modifiable predictors of PTSD that could potentially be harnessed in early interventions.
View details for DOI 10.1016/j.cpr.2025.102662
View details for Web of Science ID 001598692900001
View details for PubMedID 41086540
https://orcid.org/0009-0002-3514-5974