CSDE Affiliate Avanti Adhia (Nursing, Epidemiology), CSDE Affiliate Heather Hill (Evans School of Public Policy and Governance), and CSDE Trainee Ann Richey (Epidemiology), along with Krista Neumann, authored a “Current Issues” piece in the American Journal of Preventive Medicine outlining three state policy tools — paid family and medical leave, sick leave, and victim leave — that provide workers time off to address domestic violence (DV)-related legal,

CSDE External Affiliate Mick Cunningham (Western Washington University) published a study in the Journal of Family Violence examining cumulative consequences of intimate partner violence (IPV) victimization over the life course by gender and sexual orientation, using data from the U.S. National Intimate Partner and Sexual Violence Survey. Women and sexual minorities experience IPV consequences — including fear, post-traumatic stress, injury, and missed work or school — at younger ages than straight men.

The Dog Aging Project, whose Data and Analysis Core is headed up by CSDE Research Scientist Matthew D. Dunbar, PhD, was recently spotlighted on the CBS news program 60 Minutes: “Research to help dogs live longer, healthier lives could unlock secrets for people to age better, too”

Why study aging in dogs? Companion dogs share genetic diversity, environmental exposures, and cognitive traits with humans. Dogs vary tremendously not only in size,

CSDE Affiliates Katarina Guttmannova (Psychiatry and Behavioral Sciences) and Griselda Martinez (Psychiatry and Behavioral Sciences) assessed the Communities That Care Brief Depression Scale (CTC-BDS) for measurement equivalence across Latinx and white youth by immigrant generation status, using confirmatory factor analysis of survey data collected across sixth, eighth, tenth, and twelfth grades. The study, published in Journal of Community Psychology, found evidence for both the one-factor structure and measurement equivalence of the CTC-BDS across ethnicity,

CSDE External Affiliate Elizabeth Hirsh (University of British Columbia) published a study in the International Journal of Comparative Sociology with collaborator, Erica Mildner (PhD student, University of British Columbia), examining individual support for government-provided childcare across 26 countries, using data from the International Social Survey Programme (ISSP). Household-level dynamics, particularly the “dual load” of both partners working full-time or overtime, are key predictors of support for government childcare.

The Prevent Cancer Foundation has awarded funds (donated by Awesome Games Done Quick) to CSDE Affiliate Michelle Shin (Child, Family, and Population Health Nursing), to develop a care model to increase cervical cancer screening in federally qualified health centers (FQHCs). This study aims to better understand the barriers to cervical cancer screening from the perspectives of patients and community leaders through process mapping and key informant interviews to develop a culturally responsive care model to increase screening uptake in underserved communities.

CSDE External Affiliate Jack DeWaard (Saint Martin’s University) and colleagues recently published the paper, “Climate-induced internal migration in India: Looking into the past to understand the present,” in Regional Environmental Change. In addition to the research itself, this paper was lead-authored by Rimjhim Bajpai, an early career researcher who recently started her PhD in Demography at the University of Vienna and works as a Researcher on the project,

CSDE Affiliates Kenneth Sherr (Global Health), Brian P. Flaherty (Psychology), and Bradley Wagenaar (Global Health) published in The Lancet Psychiatry results of a randomized trial that tested the Systems Analysis and Improvement Approach for Mental Health (SAIA-MH) to improve outpatient care for mental, neurological, and substance use disorders in Mozambique in The Lancet Psychiatry. SAIA-MH combines external facilitation, clinical consultation, and provider team meetings with systems-engineering tools in a continuous quality improvement framework.

Qiuju Guo is an Associate Professor in the School of Sociology, Huazhong University of Science and Technology, joining the Center for Studies in Demography and Ecology (CSDE) at the University of Washington as a visiting scholar for a one-year stay.

Dedicated to gerontological research, Dr. Guo’s core research interests include family and old-age support, aging health and well-being, and older migrants. She has published a series of peer-reviewed papers in both Chinese and English on sociological issues related to older adults.

In a new article in Alcohol: Clinical and Experimental Research, CSDE Affiliate Katarina Guttmannova (Psychiatry and Behavioral Sciences) and co-authors used machine learning to predict impaired driving among young adults in Washington. Data came from annual cross-sectional surveys of 18- to 25-year-olds participating in the Washington Young Adult Health Survey (2015–2022). For likelihood of alcohol-impaired driving, top predictors included alcohol use frequency, participants’ age, peak drinking quantity, age of alcohol initiation,