: People who abuse substances are at increased risk of metabolic syndrome and diabetes resulting partly from increased cell damage and due to the effects of opioids on glucose homeostasis. Therefore, people with diabetes who abuse substances may carry greater health risks than the general population resulting from their effect on glucose metabolism. These substances may be in the form of cannabis, hallucinogens, opioids, and stimulants. Therefore, the aim of this review was to evaluate the effects of substance abuse on blood glucose parameters in patients with diabetes. : Databases including Embase, Psycho-Info, Google Scholar and PubMed were searched systematically for relevant articles from database inception to May 2018. Search terms including medical subject headings (MeSH) based on the Population, Intervention, Comparator and Outcomes (PICO) framework was used to access the databases. Eligible articles were selected based on set inclusion and exclusion criteria. The articles reviewed were evaluated for quality and meta-analysis and sensitivity analysis were carried out using the Review Manager (RevMan 5.3, The Cochrane Collaboration, Copenhagen, Denmark). The Random effects model was used for the data analysis. : Twelve studies which met the inclusion criteria were included in the systematic review, while nine articles were selected for the meta-analysis. The results of the meta-analysis showed that substance abuse does not have significant effects ( > 0.05) on postprandial blood glucose and glycated haemoglobin in patients with diabetes. With respect to the effect of substance abuse on fasting blood glucose, while this was significant ( < 0.05) following meta-analysis, the results of the sensitivity test did not demonstrate any significant difference ( > 0.05) between patients who abused substances compared with control. This would suggest that the effect of substance abuse on fasting blood glucose in these patients was not very reliable or not consistent. : The effect of substance abuse on glycated haemoglobin and postprandial blood glucose in patients with diabetes was not significant. In the meta-analysis, while the value was slightly lower with respect to postprandial blood glucose, this was slightly higher in relation to HbA1c in the substance abuse group compared with control. On the other hand, the effect of substance abuse on fasting blood glucose was significant ( = 0.03) compared with control, but this was attenuated following a sensitivity test. A range of factors including eating habits, characteristics of drugs, erratic lifestyle of patients may explain the outcome of this review. There is the need for randomised controlled trials that will include diet and medication history in order to fully understand the effect of substance abuse on blood glucose parameters in patients with diabetes.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6313386 | PMC |
http://dx.doi.org/10.3390/ijerph15122691 | DOI Listing |
AIDS Care
January 2025
Department of Social, Behavioral, and Population Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
In the current study, we examine associations between exposure to violence and antiretroviral medication adherence in persons with HIV (PWH) in a southern city in the United States. We include investigation of a variety of violence exposures including childhood sexual abuse, physical abuse, witnessing family violence, lifetime violence exposures and current stress related to violence experiences, as well as neighborhood violence exposure. We examined associations between violence exposures and adherence and mediational pathways between these variables including mental health symptoms - specifically depressive, anxiety, and posttraumatic stress symptoms - as well as coping strategies.
View Article and Find Full Text PDFCurr Pain Headache Rep
January 2025
Division of Perioperative Informatics, Department of Anesthesiology, University of California, San Diego, La Jolla, CA, USA.
Purpose Of Review: Artificial intelligence (AI) offers a new frontier for aiding in the management of both acute and chronic pain, which may potentially transform opioid prescribing practices and addiction prevention strategies. In this review paper, not only do we discuss some of the current literature around predicting various opioid-related outcomes, but we also briefly point out the next steps to improve trustworthiness of these AI models prior to real-time use in clinical workflow.
Recent Findings: Machine learning-based predictive models for identifying risk for persistent postoperative opioid use have been reported for spine surgery, knee arthroplasty, hip arthroplasty, arthroscopic joint surgery, outpatient surgery, and mixed surgical populations.
Psychol Trauma
January 2025
Medical University of South Carolina, Department of Psychiatry and Behavioral Sciences.
Objective: Youth may develop posttraumatic stress disorder (PTSD) following a hurricane. Triaging of mental health services is crucial to effectively deliver trauma-focused interventions following natural disasters. Given the increased likelihood of hurricanes due to the current climate crisis, this study sought to examine the dose-response effect between hurricane-related stressors and PTSD, identify a cumulative stressor cutoff score based on the number of hurricane-related stressors experienced, and identify important individual hurricane-related stressors in explaining PTSD symptoms among youth.
View Article and Find Full Text PDFRev Med Suisse
January 2025
Unité des dépendances, Service de médecine de premier recours, Hôpitaux universitaires de Genève, 1211 Genève 14.
The use of psychoactive substances affects more men than women, with a prevalence that is 1.3 to 2 times higher, except for the use of sedatives. Men are also more affected by accidents, injuries, and acts of violence.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!