Camachomcbride6724

Obesity and cardiometabolic diseases are associated with higher long-term glucocorticoid levels, measured as scalp hair cortisol (HairF) and cortisone (HairE). Cardiometabolic diseases have also been associated with copeptin, a stable surrogate marker for the arginine-vasopressin (AVP) system. Since AVP is, together with corticotropin-releasing hormone (CRH) an important regulator of the hypothalamic-pituitary adrenal axis (HPA axis), we hypothesize that AVP contributes to chronic hypercortisolism in obesity.

To investigate whether copeptin levels are associated with Higher HairF and HairE levels in obesity.

A cross-sectional study in 51 adults with obesity (BMI ≥30 kg/m2).

Associations and interactions between copeptin, HairF, HairE, and cardiometabolic parameters were cross-sectionally analyzed.

Copeptin was strongly associated with BMI and waist circumference (WC) (rho = 0.364 and 0.530, P = 0.008 and <0.001, respectively), also after correction for confounders. There were no associations between copeptin and HairF or HairE on a continuous or dichotomized scale, despite correction for confounders.

In patients with obesity, AVP seems not a major contributor to the frequently observed high cortisol levels. Other factors which stimulate the HPA axis or affect cortisol synthesis or breakdown may be more important than the influence of AVP on long-term glucocorticoid levels in obesity.

In patients with obesity, AVP seems not a major contributor to the frequently observed high cortisol levels. Other factors which stimulate the HPA axis or affect cortisol synthesis or breakdown may be more important than the influence of AVP on long-term glucocorticoid levels in obesity.

The use of mobile health (mHealth) apps is becoming increasingly widespread. selleck chemicals However, little is known about the attitudes, expectations, and basic acceptance of health care professionals toward such treatment options. As physical activity and behavior modification are crucial in osteoarthritis management, app-based therapy could be particularly useful for the self-management of this condition.

The objective of the study was to determine the expectations and attitudes of medical professionals toward app-based therapy for osteoarthritis of the hip or knee.

Health care professionals attending a rehabilitation congress and employees of a university hospital were asked to fill out a questionnaire consisting of 16 items. A total of 240 questionnaires were distributed.

A total of 127 participants completed the questionnaire. At 95.3% (121/127), the approval rate for app-based therapy for patients with osteoarthritis of the hip or knee was very high. Regarding possible concerns, aspects related to data protection and privacy were primarily mentioned (41/127, 32.3%). Regarding potential content, educational units, physiotherapeutic exercise modules, and practices based on motivation psychology were all met with broad approval.

The study showed a high acceptance of app-based therapy for osteoarthritis, indicating a huge potential of this form of treatment to be applied, prescribed, and recommended by medical professionals. It was widely accepted that the content should reflect a multimodal therapy approach.

The study showed a high acceptance of app-based therapy for osteoarthritis, indicating a huge potential of this form of treatment to be applied, prescribed, and recommended by medical professionals. It was widely accepted that the content should reflect a multimodal therapy approach.

Adolescent depression carries a high burden of disease worldwide, but access to care for this population is limited. Prevention is one solution to curtail the negative consequences of adolescent depression. Internet interventions to prevent adolescent depression can overcome barriers to access, but few studies examine long-term outcomes.

This study compares CATCH-IT (Competent Adulthood Transition with Cognitive Behavioral Humanistic and Interpersonal Training), an internet-based intervention, to a general health education active control for depression onset at 12 and 24 months in adolescents presenting to primary care settings.

A 2-site randomized trial, blinded to the principal investigators and assessors, was conducted comparing Competent Adulthood Transition with Cognitive Behavioral Humanistic and Interpersonal Training to health education to prevent depressive episodes in 369 adolescents (193 youths were randomly assigned to Competent Adulthood Transition with Cognitive Behavioral Humanistic and Ioth groups (intention-to-treat).

A technology-based intervention for adolescent depression prevention implemented in primary care did not have additional benefit at 12 or 24 months. Further research is necessary to determine whether internet interventions have long-term benefit.

ClinicalTrials.gov NCT01893749; http//clinicaltrials.gov/ct2/show/NCT01893749.

ClinicalTrials.gov NCT01893749; http//clinicaltrials.gov/ct2/show/NCT01893749.

Clinical decision support (CDS) is a tool that helps clinicians in decision making by generating clinical alerts to supplement their previous knowledge and experience. However, CDS generates a high volume of irrelevant alerts, resulting in alert fatigue among clinicians. Alert fatigue is the mental state of alerts consuming too much time and mental energy, which often results in relevant alerts being overridden unjustifiably, along with clinically irrelevant ones. Consequently, clinicians become less responsive to important alerts, which opens the door to medication errors.

This study aims to explore how a blockchain-based solution can reduce alert fatigue through collaborative alert sharing in the health sector, thus improving overall health care quality for both patients and clinicians.

We have designed a 4-step approach to answer this research question. First, we identified five potential challenges based on the published literature through a scoping review. Second, a framework is designed to reduce ho are not technology savvy or in-patients. Future work in validating this framework based on real health care scenarios is needed to provide the performance evaluations of MedAlert and thus gain support for the better development of this idea.

MedAlert can reduce alert fatigue by attracting the attention of patients and clinicians, instead of solely reducing the total number of alerts. MedAlert offers other advantages, such as ensuring a higher degree of patient privacy and faster transaction times compared with other frameworks. This framework may not be suitable for elderly patients who are not technology savvy or in-patients. Future work in validating this framework based on real health care scenarios is needed to provide the performance evaluations of MedAlert and thus gain support for the better development of this idea.