This article ties to SDG 3. This review highlights evidence that Maternal Separation (MS) interferes with neural development to permanently alter bed nucleus of the stria terminalis (BNST) circuitry, which may account for a variety of behavioral deficits seen following early life stress.
This Article supports SDGs 3, 5, 10 and 16 by assessing changes in stillbirth rates overall and for Black and White women, finding that there was a substantial racial disparity and suggesting that targeted health and social policies are needed to address this issue.
This falls along the themes of public access (or lack thereof) to physicians has many different consequences to good health and well-being especially with cancer care.
This study underwrites the pivotal role of voluntary work in reducing the impact of symptoms of stress on the development of depressive symptoms and the likelihood of being prescribed an antidepressant.
This article ties to SDG 3. A systematic review and meta-analysis was conducted evaluating stepped care prevention (i.e., targeting those with recent trauma exposure at risk of developing PTSD) and treatment approaches for adults and adolescents/children with PTSD.
This editorial to the collection examines the construct of participation, how it is defined, measured, and integrated into all stages of nutrition research projects and programs and how it influences intervention outcomes.
Elsevier,
Biochimica et Biophysica Acta (BBA) - Molecular Cell Research,
Volume 1870, Issue 2,
2023,
119404
Id4 expression is drastically reduced in the salivary glands of IgG4-RD patients. It s essential for the morphological and functional homeostasis in salivary glands.
This article ties to SDG 3. This study investigated main influencing factors and neurobiochemical biomarkers of Acute Stress Disorder (ASD) in trauma patients with a purpose of early clinical identification and intervention.
This article ties to SDG 3. This systematic review examined 2 decades of questionnaires used to assess emotion (dys)regulation in children and adolescents to be able to guide appropriate selection of measurement tools for assessing specific domains of child and adolescent emotion dysregulation in the future.
Smart healthcare monitoring is assessed for its ability to improve the treatment or early detection of falls. In this project, the authors propose a CNN-based prediction model with the use of edge computing and IoT paradigms.
