Testofen,a specialised Trigonella foenum-graecum seed extract reduces age-related symptoms of androgen decrease,increases testosterone levels and improves sexual function in healthy aging males in a double-blind randomised clinical study

This study examined the effect of Testofen, a specialised Trigonella foenum-graecum seed extract on the symptoms of possible androgen deficiency, sexual function and serum androgen concentrations in healthy aging males. This was a double-blind, randomised, placebo-controlled trial involving 120 healthy men aged between 43 and 70 years of age. The active treatment was standardised Trigonella foenum-graecum seed extract at a dose of 600?mg/day for 12 weeks. The primary outcome measure was the change in the Aging Male Symptom questionnaire (AMS), a measure of possible androgen deficiency symptoms; secondary outcome measures were sexual function and serum testosterone. There was a significant decrease in AMS score over time and between the active and placebo groups. Sexual function improved, including number of morning erections and frequency of sexual activity. Both total serum testosterone and free testosterone increased compared to placebo after 12 weeks of active treatment. Trigonella foenum-graecum seed extract is a safe and effective treatment for reducing symptoms of possible androgen deficiency, improves sexual function and increases serum testosterone in healthy middle-aged and older men.     

Predictors of Antisocial and Prosocial Behavior in an Adolescent Sports Context

This study examined antisocial and prosocial behavior of N = 439 adolescent athletes between 14 and 17 years of age (67 teams). Multi‐level analyses showed that team membership explained 20 and 13 percent of the variance in antisocial and prosocial behavior in the sports context, respectively. The team effects suggest that aggregating antisocial or prosocial adolescents within teams may partially explain differences in antisocial and prosocial behavior among athletes in the sports context. A trend was found toward a relation between higher levels of moral reasoning within teams, and less antisocial behavior in the sports context. Favorable moral atmosphere was positively associated with more prosocial behavior in the sports context. Finally, supportive coach–athlete relationships were associated with both less antisocial and more prosocial behavior in the sports context.     

Biosecurity Policy and the Use of Geospatial Predictive Tools to Address Invasive Plants: Updating the Risk Analysis Toolbox

International and national biosecurity policies consider risk assessment a critical component of overall plant health risk analysis. The Agreement on the Application of Sanitary and Phytosanitary Measures, the International Plant Protection Convention, and the Convention on Biological Diversity all provide guidelines and recommendations on how to use risk assessment. This article discusses how these instruments address risk assessment, and makes recommendations on how the risk assessment process needs to incorporate current geospatial predictive science and geographic information systems into the plant health biosecurity risk analysis toolbox.     

Overcoming medication refusal using a patient-centered approach

The refusal of psychotropic medication is a challenge faced by many healthcare providers when treating patients with mental illness. Controversy surrounds medication refusal because some mental health professionals believe that psychiatric patients should be forced to take medications for the safety of the general public, while patients are often acutely aware of potential lifelong adverse side effects and are sometimes reluctant to comply. The proposed alternative to this problem begins with developing the patient-provider relationship through a patient-centered approach. This approach emphasizes the individual needs of patients and creates opportunities for input from patients about their care, which helps form relationships of mutual trust and respect between patients and providers. This article explores the literature to: (1) understand some of the challenges and controversies involved in patient medication refusal from a clinical and societal level; (2) identify some issues in a patient-centered approach; and (3) make some brief clinical and policy recommendations that might help to bring about an increase in the use of patient-centered care. Hopefully, as efforts are made toward a patient-centered approach, increased psychotropic medication adherence and decreased medication coercion will result as providers listen and act upon the needs of their patients.     

Being Transgender: The Experience of Transgender Identity Development

This article is based on a grounded theory analysis of interviews with transgender-identified people from different regions of the United States. Participants held a variety of gender identities under the transgender rubric (e.g., crossdresser, transman, transwoman, butch lesbian). Interviews explored the participants’ experiences in arriving at their gender identity. This article presents three clusters of findings related to the common processes of transgender identity development. This process was made possible by accessibility of transgender narratives that injected hope into what was a childhood replete with criticism and scrutiny. Ultimately, participants came to their identities through balancing a desire for authenticity with demands of necessity—meaning that they weighed their internal gender experience with considerations about their available resources, coping skills, and the consequences of gender transitions. The implications of these findings are considered in terms of their contribution to gender theory, research, and clinical support for transgender clients.     

Measuring Loneliness Among Middle-Aged and Older Adults: The UCLA and de Jong Gierveld Loneliness Scales

This study examined the measurement and invariance properties of the R-UCLA and de Jong Gierveld loneliness scales for research involving middle-aged and older adults. Confirmatory factor analyses (CFAs) of data from interviews with adults aged 45–84 revealed limited support for the unidimensionality of either scale while subsequent analyses indicated the multidimensionality of both. However, method effects associated with positive and negative item wording were also evident. Multiple group CFAs provided limited support for assumptions of measurement invariance across age groups and from baseline to follow-up with regard to the R-UCLA scale. In contrast, strong measurement invariance across age groups and successive measurements was established for the bi-dimensional dJG scale. Overall, the findings supported the relative utility of the dJG scale for research involving middle-aged and older adults but suggested a need for attention to the implications of method effects associated with item wording and lack of measurement invariance with respect to item residuals.     

A Deprivation Analysis for Andalusia (Spain): An Approach Based on Structural Equations

The study of deprivation, as a social indicator, is basic in the design and development of public policies because it allows decision makers to identify and analyse needy areas in order to improve their citizens’ well-being. The methodological approach proposed for the development of a new deprivation index is based on the Causal Theory whose conceptual model is analysed using Structural Equations. The domains selected for the deprivation index are: education, employment, income, housing, infrastructures and health. A structural equation model based on variance is the exploratory method used to obtain the indices pertaining to the above mentioned areas; the results obtained are seen to be quite reliable. There is a positive connection between the areas of education, employment and income while the relations between infrastructures and health are found to be negative. The results can be projected at a local level and show basic territorial deficiencies. The spatial units studied are the Andalusian (south of Spain) municipalities (770). The spatial projection of the indices obtained for the domains of deprivation highlights the existence of geographical areas which could be a potential target for public action.     

Bayesian Classifiers Applied to the Tennessee Eastman Process

Fault diagnosis includes the main task of classification. Bayesian networks (BNs) present several advantages in the classification task, and previous works have suggested their use as classifiers. Because a classifier is often only one part of a larger decision process, this article proposes, for industrial process diagnosis, the use of a Bayesian method called dynamic Markov blanket classifier that has as its main goal the induction of accurate Bayesian classifiers having dependable probability estimates and revealing actual relationships among the most relevant variables. In addition, a new method, named variable ordering multiple offspring sampling capable of inducing a BN to be used as a classifier, is presented. The performance of these methods is assessed on the data of a benchmark problem known as the Tennessee Eastman process. The obtained results are compared with naive Bayes and tree augmented network classifiers, and confirm that both proposed algorithms can provide good classification accuracies as well as knowledge about relevant variables.