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Background: Misuse of anabolic-androgenic steroids (AAS), especially through "stacking" multiple substances, poses significant health risks. This study leverages data from the FDA's Adverse Event Reporting System (FAERS) to assess these risks and identify factors predicting severe outcomes.
Methods: We analyzed 286 FAERS reports of intentional AAS misuse. After removing duplicates, the final dataset included 218 unique cases involving men, 7 involving women, and 14 cases with unspecified sex. Drugs, adverse drug reactions (ADRs), and demographic data were categorized. Statistical analyses, including logistic regression, evaluated associations between substance combinations and serious outcomes.
Results: Serious cases constituted 46.8% of the total among men, with cardiovascular, endocrine, and psychological ADRs being most frequent. Stacking other drugs on top of AAS was highly associated with serious outcomes ( < .001). Stacking central nervous system (CNS) depressants ( = 3.50 × 10), fat-burning agents ( = 1.51 × 10), endocrine modulators ( = 6.26 × 10), and other CNS-active substances ( = 3.34 × 10) were strongly associated with serious outcomes. Logistic regression revealed younger age ( = .0188, negative coefficient -0.117) and higher drug count ( = .0458, positive coefficient 0.991) and recent report year ( = .0006, negative coefficient -0.467) as significant predictors of life-threatening events.
Conclusions: AAS misuse, especially through high-risk stacking, significantly elevates the risk of serious health outcomes, particularly in younger individuals. Public health interventions-including targeted outreach, harm reduction, and enhanced healthcare provider awareness training-are necessary to educate on and mitigate these risks.
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http://dx.doi.org/10.1177/29767342251360872 | DOI Listing |
Front Oncol
August 2025
Department of Radiology, The Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, China.
Objectives: Lymph node metastasis (LNM) is an important factor affecting the stage and prognosis of patients with lung adenocarcinoma. The purpose of this study is to explore the predictive value of the stacking ensemble learning model based on F-FDG PET/CT radiomic features and clinical risk factors for LNM in lung adenocarcinoma, and elucidate the biological basis of predictive features through pathological analysis.
Methods: Ninety patients diagnosed with lung adenocarcinoma who underwent PET/CT were retrospectively analyzed and randomly divided into the training and testing sets in a 7:3 ratio.
Eur J Prev Cardiol
September 2025
Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Background And Aims: Data on cardiovascular outcomes and aortic growth in pregnant women with Turner syndrome is limited. We examine the cardiovascular and pregnancy outcomes in these women and analyze aortic growth throughout pregnancy.
Methods: The ROPAC III is a global, prospective, observational registry that enrolled pregnancies of women pre-pregnancy known with Turner syndrome from 2018 to 2023.
J Dairy Sci
September 2025
Advance Image Processing Research Laboratory (AIPRL), Institute of Computer and Software Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan.
Food contamination remains a serious global concern due to its health risks, with milk being one of the most commonly adulterated foods in developing countries such as Pakistan, India, and Bangladesh. Accurate detection of milk contamination is essential for ensuring consumer safety and maintaining food industry standards. This study explores both invasive and noninvasive approaches for contamination analysis.
View Article and Find Full Text PDFSubst Use Addctn J
September 2025
Brain Boutique, Seoul, Korea.
Background: Misuse of anabolic-androgenic steroids (AAS), especially through "stacking" multiple substances, poses significant health risks. This study leverages data from the FDA's Adverse Event Reporting System (FAERS) to assess these risks and identify factors predicting severe outcomes.
Methods: We analyzed 286 FAERS reports of intentional AAS misuse.
Front Public Health
September 2025
Institute of Physical Education, Sichuan University, Chengdu, China.
Objective: This study aimed to examine the relationship between physical activity volume and sleep duration in older adults, using objective monitoring data to investigate their non-linear association and threshold effects, thereby providing references for developing exercise programs to improve sleep duration.
Methods: The study used two consecutive waves of NHANES cross-sectional data (2011-2014) as the derivation cohort and NHANES 2005-2006 data as the validation cohort. Analysis of the derivation cohort included weighted univariate analysis, weighted multivariate logistic regression, and interpretable machine learning analysis.