Objective: To investigate whether shorter versions of the ADAM test, a screening questionnaire for andropause, provide better diagnostic value than the original tool.
Methods: Five thousand and twenty-eight volunteer men aged 50-70 years attending a screening campaign for andropause, provided a fasting blood sample and completed the French ADAM test. Logistic regression analysis identified items that best predict andropause defined as serum free testosterone level below 70 ng/l. ROC curves assessed the diagnostic value of modified versions of the ADAM test, obtained by elimination of the less relevant predictors of andropause.
Results: Only four items of the ADAM questionnaire may account for the diagnosis of andropause. These items concerned loss of height, decrease in libido and in enjoyment of life and deterioration in work performance. Item 9 was borderline significant. The area under the ROC curve for the short versions varied slightly from 0.555 to 0.560. As expected, model 6 has a greater specificity (56.02%) than the original tool while the efficiency increased slightly (54.85%).
Conclusion: The modified versions of the ADAM test do not provide better diagnostic value than the original tool.
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http://dx.doi.org/10.1080/13685530701433121 | DOI Listing |
PLoS One
January 2025
WorldFish Kenya, C/O International Livestock Researtablech Institute, Nairobi, Kenya.
Gender equality and women's empowerment have been increasingly emphasised in food production systems, including fisheries and aquaculture. Accurate assessment and understanding of the state, progress and changes in women's empowerment in the sub-sectors is required. We applied the project level Women's Empowerment in Fisheries and Aquaculture Index (pro-WEFI), which is based on the project-level women's empowerment in agriculture index (pro-WEAI) to standardize the measurement of women's agency and empowerment in fisheries and aquaculture.
View Article and Find Full Text PDFCommun Chem
January 2025
Institute of Chemical Sciences, Heriot-Watt University, Edinburgh, UK.
Various photoactive molecules contain motifs built on aza-aromatic heterocycles, although a detailed understanding of the excited state photophysics and photochemistry in such systems is not fully developed. To help address this issue, the non-adiabatic dynamics operating in azanaphthalenes under hexane solvation was studied following 267 nm excitation using ultrafast transient absorption spectroscopy. Specifically, the species quinoline, isoquinoline, quinazoline, quinoxaline, 1,6-naphthyridine, and 1,8-naphthyridine were investigated, providing a systematic variation in the relative positioning of nitrogen heteroatom centres within a bicyclic aromatic structure.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Centre for Brain Research (CBR), Indian Institute of Science, Bengaluru, Karnataka, India
Background: Data‐driven methods, particularly deep learning, are transforming neuroimaging by accurately estimating Brain Age using diverse modalities. Discrepan‐ cies between predicted and actual age unveil potential health risks. Utilizing a training set of healthy subjects, a regression algorithm correlates brain features to age, allowing inference for unseen patients.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Centre for Brain Research (CBR), Indian Institute of Science, Bengaluru, Karnataka, India
Background: Deep Neural Networks (DNNs) have emerged as powerful tools in the biomedical field, particularly for the early detection of neurodegenerative diseases. Despite their complexity and data‐intensive nature, simpler fully connected Convolutional Neural Network (SFCN) architectures have shown effectiveness in accurately discerning between subjects affected by Alzheimer’s disease (AD) and healthy controls (HC). This model draws inspiration from the work of Peng H et al.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
Background: Obesity in midlife, defined as body mass index (BMI) of 30 kg/m or higher in those between 40‐60 years, is related to higher Alzheimer’s disease (AD) later in life. Non‐alcoholic fatty liver disease, as a complication of obesity is associated with impaired cognitive function. We investigated the relationship between hepatic fat quantification by use of MRI‐derived Positron Density Fat Fraction (PDFF) and brain cortical thickness in cognitively normal midlife individuals.
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