Insight plays an important role in the management of Schizophrenia. The study was undertaken to assess the cross-sectional relationship of clinical variables and psychopathology to insight, using the BPRS and the Insight Schedule. The study sample consisted of 59ICD-10 Schizophrenics with a mean duration of illness of 41.88 months. Insight was found to have significant positive association with number of previous episodes of illness and treatment taken in the past. The correlation matrix of BPRS total score with Insight Schedule item scores revealed non significant negative correlations. On multiple regression analysis, psychopathology was found to explain significantly about a third of the variability in insight, thus demonstrating only partial dependence of insight on psychopathology. Construct analysis of the Insight Schedule was undertaken in parallel to the main study and revealed a component structure similar to that espoused by its author, ensuring comparability between the present and previous studies.
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Int J Mol Sci
February 2025
Section of Endocrinology and Metabolic Diseases, Department of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
The circadian rhythm of cortisol, a key hormone essential for maintaining metabolic balance and stress homeostasis, is profoundly disrupted by night-shift work. This narrative review examines the physiological mechanisms underlying cortisol regulation, the effects of shift work on its circadian rhythm, the associated health risks, and potential mitigation strategies. Night-shift work alters the natural secretion pattern of cortisol, leading to dysregulation of the hypothalamic-pituitary-adrenal axis, which in turn can contribute to metabolic disorders, cardiovascular diseases, and impaired cognitive function.
View Article and Find Full Text PDFJMIR Form Res
March 2025
Program in Digital Medicine, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, MA, United States.
Background: Screening for cognitive impairment in primary care is important, yet primary care physicians (PCPs) report conducting routine cognitive assessments for less than half of patients older than 60 years of age. Linus Health's Core Cognitive Evaluation (CCE), a tablet-based digital cognitive assessment, has been used for the detection of cognitive impairment, but its application in primary care is not yet studied.
Objective: This study aimed to explore the integration of CCE implementation in a primary care setting.
Nurs Inq
April 2025
Florence Nightingale School of Nursing and Midwifery, and Palliative Care, King's College London, London, UK.
Amidst a global nursing shortage, ensuring sufficient nurses are available to care for patients is an international policy priority. High-income countries have developed and implemented numerous models to ensure safe nurse staffing, yet evidence to recommend any single methodology remains limited. Existing research primarily evaluates nurse staffing systems by inputs and outcomes, neglecting their internal dynamics.
View Article and Find Full Text PDFFront Glob Womens Health
February 2025
Social and Behavioral Sciences, University of California, San Francisco, CA, United States.
Background: The COVID-19 pandemic strained the provision of sexual and reproductive health services, including family planning, which were categorized as non-essential services at the peak of COVID-19 infection control in Kenya. We set out to assess the effect of COVID-19 on fertility management practices among Kenyan women in two cities to inform mitigation measures in future similar disruptions.
Methods: This was a qualitative study to describe the effect of the COVID-19 pandemic on women's fertility management practices from 61 in-depth interviews (IDIs) with women aged 15-45 years residing in Nairobi and Kisumu, Kenya, between February and May 2021.
PeerJ Comput Sci
January 2025
College of Physical Education, Luoyang Normal University, Henan, China.
In recent years, growth in technology has significantly impacted various industries, including sports, health, e-commerce, and agriculture. Among these industries, the sports sector is experiencing significant transformation, which needs support in accurately monitoring athlete predicting and performance injuries arising due to traditional methods' limitations. Keeping the above in mind, in this article, we present the Intelligent Sports Management System (ISMS) with the integration of wireless sensor networks (WSNs) and neural networks (NNs), which enhance athlete monitoring and injury prediction.
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