Individuals with internalizing conditions such as depression or anxiety are at risk of sleep difficulties. Social-ecological models of sleep health propose factors at the individual (e.g., mental health) and neighborhood (e.g., crime risk) levels that contribute to sleep difficulties. However, these relationships have been under-researched in terms of internalizing conditions. Therefore, the current study comprised participants diagnosed with major depression ( = 24) or social anxiety ( = 35). Sleep measures included actigraphic variables (i.e., total sleep time, waking after sleep onset, sleep onset latency) and subjective sleep quality. Geocoding was used to assess nationally-normed crime risk exposure at the person level (e.g., murder, assault) and property level (e.g., robbery, burglary). Analyses consisted of independent -tests to evaluate potential differences between diagnostic groups. To examine relationships, multiple regressions were used with internalizing symptoms, crime risk, and age as independent variables and sleep measures as the dependent variable. The -test results revealed that groups differed in symptoms and age but not sleep or neighborhood crime. Regression results revealed crime risk positively corresponded with sleep onset latency but no other sleep measures. Also, only depression positively corresponded with total sleep time. Preliminary findings suggest exposure to crime and depression relate differentially to facets of sleep in individuals with internalizing conditions.
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http://dx.doi.org/10.3390/brainsci14010104 | DOI Listing |
J Intellect Dev Disabil
December 2024
Teachers College, Columbia University, New York City, NY, USA.
Background: Although older adults with intellectual and/or developmental disabilities face high risks of maltreatment, there are few interventions available to reduce these risks. This study describes the development of a research-based intervention that aims to reduce the risks of maltreatment for this population.
Method: The development involved close collaboration with a program advisory board (PAB).
BMC Public Health
January 2025
Department of Physical Education, Federal University of Santa Catarina, Florianópolis, Brazil.
Background: Bullying has been identified as a risk factor for many issues among adolescents. Although it was already considered a public health issue in Brazil before the COVID-19 pandemic, little is known about how the pandemic and associated public health measures have affected bullying behavior.
Objective: To explore changes in bullying victimization and perpetration among Brazilian high school students from 2019 to 2022.
BMC Womens Health
January 2025
Faculty of Science and Humanities, School of Postgraduate Studies and Research (SPGSR), Amoud University, Amoud Valley, Borama, 25263, Somalia.
Background: Intimate partner violence (IPV) is a pervasive issue across Sub-Saharan Africa and other developing countries, including Somalia. Understanding the prevalence and drivers of IPV against women is crucial for effective prevention and intervention efforts. However, limited research has focused on identifying these determinants specifically in the Somali context.
View Article and Find Full Text PDFViolence Against Women
January 2025
University of Physical Education in Warsaw, Warsaw, Poland.
Oscar Pistorius's parole in January 2024 offers a new perspective on the South African runner. This article examines Pistorius within the context of social factors that influenced his behavior and the murder of Reeva Steenkamp. Drawing on Connell's gender order theory, Messner's triad of violence, and affective atmosphere, it reveals how Pistorius, despite his disability, embraced hegemonic masculinity and became a sports star.
View Article and Find Full Text PDFEpidemiol Serv Saude
January 2025
Universidade Federal de Goiás, Instituto de Patologia Tropical e Saúde Pública, Departamento de Saúde Coletiva, Goiânia, GO, Brasil.
Objective: To identify social vulnerability profiles of transgender people who have experienced intimate partner violence in Brazil and to assess the association with recurrent violence and referrals to support services.
Methods: This was a cross-sectional study of reported cases of violence against transgender people in Brazil (2015-2021) utilizing data from SINAN/DATASUS. Sociodemographic profiles were defined using two-step cluster analysis and associations estimated by means of binary logistic regression, with odds ratios (OR) and confidence intervals (CI).
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