Human Factors Psychology Commons^™

Syndemics Of Severity And Frequency Of Elder Abuse: A Cross-Sectional Study In Mexican Older Females, Mireya Vilar-Compte, Pablo Gaitán-Rossi

Department of Public Health Scholarship and Creative Works

Background: Elder abuse is a common phenomenon with important effects on the health and well-being of older adults. There are important gaps in elder abuse measurement, as it is usually reported as the absence or presence of elder abuse, disregarding its severity and frequency.

Objectives: Identify different ways of measuring severity and frequency of elder abuse and assess whether different experiences of severity and frequency suggest syndemic relationships.

Methods: Through a sample of 534 non-institutionalized Mexican older women, we assessed how severity (i.e., number of abusive experiences and number of types of abuses) and frequency (i.e., if abusive experiences had …

Measuring Novel Antecedents Of Mental Illness: The Questionnaire Of Unpredictability In Childhood, Laura M. Glynn, Hal S. Stern, Mariann A. Howland, Victoria B. Risbrough, Dewleen G. Baker, Caroline M. Nievergelt, Tallie Z. Baram, Elysia P. Davis

Psychology Faculty Articles and Research

Increasing evidence indicates that, in addition to poverty, maternal depression, and other well-established factors, unpredictability of maternal and environmental signals early in life influences trajectories of brain development, determining risk for subsequent mental illness. However, whereas most risk factors for later vulnerability to mental illness are readily measured using existing, clinically available tools, there are no similar measures for assessing early-life unpredictability. Here we validate the Questionnaire of Unpredictability in Childhood (QUIC) and examine its associations with mental health in the context of other indicators of childhood adversity (e.g., traumatic life events, socioeconomic status, and parenting quality). The QUIC was …

Spatio-Temporal Distribution Of Negative Emotions In New York City After A Natural Disaster As Seen In Social Media, Oliver Gruebner, Sarah R. Lowe, Martin Sykora, Ketan Shankardass, Sv Subramanian, Sandro Galea

Department of Psychology Faculty Scholarship and Creative Works

Disasters have substantial consequences for population mental health. We used Twitter to (1) extract negative emotions indicating discomfort in New York City (NYC) before, during, and after Superstorm Sandy in 2012. We further aimed to (2) identify whether pre- or peri-disaster discomfort were associated with peri- or post-disaster discomfort, respectively, and to (3) assess geographic variation in discomfort across NYC census tracts over time. Our sample consisted of 1,018,140 geo-located tweets that were analyzed with an advanced sentiment analysis called ”Extracting the Meaning Of Terse Information in a Visualization of Emotion” (EMOTIVE). We calculated discomfort rates for 2137 NYC census …