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Abstract Ultramarathon running is of increasing popularity, where the time-limited 24-hour run is one of the most popular events. Although we have a high scientific knowledge about different topics for this specific race format, we do not know where the best 24-hour runners originate from and where the fastest races are held. The purpose of the present study was to investigate the origin of these runners and the fastest race locations. A machine learning model based on the XG Boost algorithm was built to predict running speed based on the athlete´s age, gender, country of origin and the country where the race takes place. Model explainability tools were used to investigate how each independent variable would influence the predicted running speed. A sample of 171,358 race records from 63,514 unique runners from 73 countries participating in 24-hour races held in 57 countries between 1807 and 2022 was analyzed. Most of the athletes originated from the USA, France, Germany, Great Britain, Italy, Japan, Russia, Australia, Austria, and Canada. Tunisian athletes achieved the fastest average running speed, followed by runners from Russia, Latvia, Lithuania, Island, Croatia, Slovenia, and Israel. Regarding the country of the event, the ranking looks quite similar to the participation by the athlete, suggesting a high correlation between the country of origin and the country of the event. The fastest 24-hour races are recorded in Israel, Romania, Korea, the Netherlands, Russia, and Taiwan. On average, men were 0.4 km/h faster than women, and the fastest runners belonged to age groups 35–39, 40–44, and 45–49 years. In summary, the 24-hour race format is spread over the world, and the fastest athletes mainly originate from Eastern Europe, while the fastest races were organized in European and Asian countries.

Abstract Introduction : Statins are effective in reducing high cholesterol levels; however, due to associated side effects, many patients actively seek alternative medications. This review evaluates the efficacy, side effects, patient adherence, cost-effectiveness, and accessibility of dietary supplements (DS) as a treatment option for hypercholesterolemia. Methods This narrative review compares red yeast rice (RYR), flaxseed, artichokes, bergamot, Ayurvedic mixtures (with garlic as a prominent ingredient), and statins for treating hypercholesterolemia. We searched PubMed, Scopus, and Cochrane databases for studies published between 2012 and 2024 using “hypercholesterolemia” in combination with a dietary supplement (red yeast rice, flaxseed, artichokes, garlic, or bergamot). The selected articles were published until 28th January 2024 with no language restrictions. Results Study results suggest that alternative treatments using dietary supplements such as flaxseed, bergamot, or red yeast rice may effectively reduce cholesterol levels, with the specific value varying based on the study. Conclusion The following natural ingredients - red yeast rice, artichoke extract, bergamot, garlic, and flaxseed - have been specifically selected for their cholesterol-lowering properties. Based on consistent usage, except for aged garlic extract, these ingredients appear to have a beneficial impact on cholesterol levels. (1) It is advisable to conduct a comprehensive cohort study to assess the efficacy of relevant dietary supplements, particularly red yeast rice, bergamot, and flaxseed, in treating hypercholesterolemia. This is important due to the varying effectiveness of alternative treatments. However, there are lingering concerns regarding the lack of supervision and quality control that require attention. (2) Further research into the specific molecular composition and the underlying mechanisms by which it reduces cholesterol levels is warranted.

Abstract The study aimed to investigate the effects of acute ingestion of saffron (SAF) on physiological (i.e., heart rate and blood lactate) and perceptual (i.e., ratings of perceived exertion [RPE] and feeling scale) measures in response to a repeated-sprint ability test (RSS) in healthy young males (N = 22; mean ± SD: age, 21.7 ± 1.24 yrs.). All participants completed two experimental trials with a one-week washout period using a double-blind, placebo-controlled, crossover design. In each session, the participants were randomly chosen to receive either a capsule of saffron (300 mg) (SAF session) or a capsule of lactose (PLB session) two hours before performing the RSS. No significant differences (p > 0.05) were found for heart rate, RPE, and feeling scale between the SAF or PLB sessions at pre- and post-RSS. There were no significant changes (p > 0.05) in peak time, total time, fatigue index, and blood lactate in either the SAF or PLB sessions. Acute SAF ingestion did not significantly improve RSS performance nor physiological and perceptual measures in active young males. Future trials should address the topic by using shortened/prolonged higher doses of SAF on biological, physical, physiological, and perceptual responses to acute and chronic exercise.

Abstract The majority of participants in Ironman triathlon races are age group athletes. We have extensive knowledge about recreational athletes’ training and competition participation. Nonetheless, Ironman age group triathletes must achieve fast race times to qualify for the Ironman World Championship in Hawaii. They can, therefore, benefit from knowing where the fastest Ironman racecourses in the world are. The aim of the present study was to investigate where the fastest Ironman racecourses for age group triathletes are located in the world. Data from 677,702 Ironman age group finishers’ records (544,963 from men and 132,739 from women) originating from 228 countries and participating in 444 events across 66 different Ironman race locations between 2002 and 2022 were analyzed. Data was analyzed through traditional descriptive statistics and with machine learning regression models. Four algorithms were tested (Random Forest Regressor, XG Boost Regressor, Cat Boot Regressor, and Decision Tree Regressor). The models used gender, age group, country of origin, environmental factors (average air and water temperatures), and the event location as independent variables to predict the final overall race time. Despite the majority of successful Ironman age group triathletes originating from the USA (274,553), followed by athletes from the United Kingdom (55,410) and Canada (38,264), these countries exhibited average overall race times that were significantly slower compared to the fastest countries. Most of the triathletes competed in Ironman Wisconsin (38,545), followed by Ironman Florida (38,157) and Ironman Lake Placid (34,341). The fastest overall race times were achieved in Ironman Copenhagen (11.68 ± 1.38 h), followed by Ironman Hawaii (11.72 ± 1.86 h), Ironman Barcelona (11.78 ± 1.43 h), Ironman Florianópolis (11.80 ± 1.52 h), Ironman Frankfurt (12.03 ± 1.38 h) and Ironman Kalmar (12.08 ± 1.47 h). The fastest athletes originated from Belgium (11.48 ± 1.47 h), followed by athletes from Denmark (11.59 ± 1.40 h), Switzerland (11.62 ± 1.49 h), Austria (11.68 ± 1.50), Finland (11.68 ± 1.40 h) and Germany (11.74 ± 15.1 h). Flat running and cycling courses were associated with faster overall race times. Three of the predictive models identified the ‘country’ and ‘age group’ variables as the most important predictors. Environmental characteristics showed the lowest influence regarding the other variables. The origin of the athlete was the most predictive variable whereas environmental characteristics showed the lowest influence. Flat cycling and flat running courses were associated with faster overall race times. The fastest overall race times were achieved mainly in European races such as Ironman Copenhagen, Ironman Hawaii, Ironman Barcelona, Ironman Florianópolis, Ironman Frankfurt and Ironman Kalmar. The fastest triathletes originated from European countries such as Belgium, Denmark, Switzerland, Austria, Finland, and Germany.

Abstract Backstroke has been thoroughly investigated in the context of sports science. However, we have no knowledge about the nationalities of the fastest age group backstroke swimmers. Therefore, the present study intended to investigate the nationalities of the fastest backstroke swimmers. For all World Masters Championships held between 1986 and 2024, the year of competition, the first and last name, the age, and the age group, and both the stroke and the distance were recorded for each swimmer. Descriptive data were presented using mean, standard deviation, maximum and minimum values, and confidence intervals. The top ten race times for each swimming distance and sex were identified for descriptive purposes. Nationalities were then grouped into six categories: the top five nationalities with the most appearances in the backstroke swimming top ten times by distance each year and one group consisting of all other nationalities. The Kruskal–Wallis test compared nationality differences, followed by Bonferroni-adjusted pairwise comparisons to identify specific distinctions. Between 1986 and 2024, most age group backstroke swimmers (39.6%) competed in the 50 m event (11,964, 6206 women, and 5,758 men), followed by the 100 m event (32.3%, n = 9764, 5157 women, and 4607 men), and the 200 m event (28.1%, n = 8483, 4511 women, and 3,972 men). Germany had the highest number of top ten female swimmers in the 50 m backstroke distance. Brazil had the highest number of top ten male swimmers in the same distance. The USA had the highest number of female and male swimmers among the top ten in the 100 m and 200 m backstroke distances. Germany and Great Britain were the only countries with swimmers in the top ten for all female backstroke distances. Brazil, the USA, Italy, and Germany were the countries that had swimmers in the top ten for all male backstroke distances. In summary, the fastest backstroke age group swimmers originated from Germany, Brazil, USA, Great Britain, and Italy, where differences between the sexes and race distances exist.

Abstract Background Diagnoses entered by general practitioners into electronic medical records have great potential for research and practice, but unfortunately, diagnoses are often in uncoded format, making them of little use. Natural language processing (NLP) could assist in coding free-text diagnoses, but NLP models require local training data to unlock their potential. The aim of this study was to develop a framework of research-relevant diagnostic codes, to test the framework using free-text diagnoses from a Swiss primary care database and to generate training data for NLP modelling. Methods The framework of diagnostic codes was developed based on input from local stakeholders and consideration of epidemiological data. After pre-testing, the framework contained 105 diagnostic codes, which were then applied by two raters who independently coded randomly drawn lines of free text (LoFT) from diagnosis lists extracted from the electronic medical records of 3000 patients of 27 general practitioners. Coding frequency and mean occurrence rates (n and %) and inter-rater reliability (IRR) of coding were calculated using Cohen’s kappa (Κ). Results The sample consisted of 26,980 LoFT and in 56.3% no code could be assigned because it was not a specific diagnosis. The most common diagnostic codes were, ‘dorsopathies’ (3.9%, a code covering all types of back problems, including non-specific lower back pain, scoliosis, and others) and ‘other diseases of the circulatory system’ (3.1%). Raters were in almost perfect agreement (Κ ≥ 0.81) for 69 of the 105 diagnostic codes, and 28 codes showed a substantial agreement (K between 0.61 and 0.80). Both high coding frequency and almost perfect agreement were found in 37 codes, including codes that are particularly difficult to identify from components of the electronic medical record, such as musculoskeletal conditions, cancer or tobacco use. Conclusion The coding framework was characterised by a subset of very frequent and highly reliable diagnostic codes, which will be the most valuable targets for training NLP models for automated disease classification based on free-text diagnoses from Swiss general practice.

AIMS OF THE STUDY: Arterial hypertension is a major global health risk. Global surveys indicate that only half of patients with arterial hypertension receive pharmacotherapy, and only a quarter achieve the primary blood pressure target recommended by guidelines. This study aimed to evaluate the achievement of the primary blood pressure target in Swiss general practice, provide insights into arterial hypertension treatment, and identify factors associated with achieving this goal. METHODS: This cross-sectional study utilised data from a large Swiss primary care database. Patients with arterial hypertension, aged ≥18 years, who underwent blood pressure monitoring in 2021 were included. The primary observation was blood pressure control, defined as the achievement of the primary blood pressure target of systolic blood pressure

ObjectiveThis study aims to evaluate and predict the long-term effectiveness of five lifestyle interventions for individuals with eating disorders using machine learning techniques.MethodsThis study, conducted at Dr. Irandoust’s Health Center at Qazvin from August 2021 to August 2023, aimed to evaluate the effects of five lifestyle interventions on individuals with eating disorders, initially diagnosed using The Eating Disorder Diagnostic Scale (EDDS). The interventions were: (1) Counseling, exercise, and dietary regime, (2) Aerobic exercises with dietary regime, (3) Walking and dietary regime, (4) Exercise with a flexible diet, and (5) Exercises through online programs and applications. Out of 955 enrolled participants, 706 completed the study, which measured Body Fat Percentage (BFP), Waist-Hip Ratio (WHR), Fasting Blood Sugar (FBS), Low-Density Lipoprotein (LDL) Cholesterol, Total Cholesterol (CHO), Weight, and Triglycerides (TG) at baseline, during, and at the end of the intervention. Random Forest and Gradient Boosting Regressors, following feature engineering, were used to analyze the data, focusing on the interventions’ long-term effectiveness on health outcomes related to eating disorders.ResultsFeature engineering with Random Forest and Gradient Boosting Regressors, respectively, reached an accuracy of 85 and 89%, then 89 and 90% after dataset balancing. The interventions were ranked based on predicted effectiveness: counseling with exercise and dietary regime, aerobic exercises with dietary regime, walking with dietary regime, exercise with a flexible diet, and exercises through online programs.ConclusionThe results show that Machine Learning (ML) models effectively predicted the long-term effectiveness of lifestyle interventions. The current study suggests a significant potential for tailored health strategies. This emphasizes the most effective interventions for individuals with eating disorders. According to the results, it can also be suggested to expand demographics and geographic locations of participants, longer study duration, exploring advanced machine learning techniques, and including psychological and social adherence factors. Ultimately, these results can guide healthcare providers and policymakers in creating targeted lifestyle intervention strategies, emphasizing personalized health plans, and leveraging machine learning for predictive healthcare solutions.

The present study aimed to compare V̇O2max (absolute, adjusted to total body mass, and adjusted to lean mass) in recreational runners and sedentary women < and > 50 yr and verify the effect of aging and physical activity level on the three types of V̇O2 max expression. The study included 147 women:85 runners (45.7 ± 14.1 yr) and 62 sedentary controls (48.8 ± 9.8 yr). They were subjected to cardiopulmonary exercise testing for V̇O2 max measurement and a body composition test by dual-emission X-ray absorptiometry system. V̇O2max were expressed as absolute values (L/min), relative to total body mass values (mL/kg/min), and relative to lean mass values (mL/kgLM/min). The two-way analysis of variance revealed a significant interaction [F(2,131) = 4.43, p

Background: Early thromboprophylaxis does not prevent hospital admissions and death among outpatients with symptomatic COVID-19. Its impact on long-term outcomes, including long COVID symptoms and performance status, is unknown. Objectives: To assess the long-term effects of thromboprophylaxis given at the time of acute COVID-19 in outpatients. Methods: The OVID (enoxaparin for outpatients with COVID-19) trial randomized outpatients older than 50 years with acute COVID-19 to receive either subcutaneous enoxaparin 40 mg once daily for 14 days or standard of care (no thromboprophylaxis). In this follow-up study, we assessed the 2-year outcomes, including all-cause hospitalization and death, cardiovascular events, long COVID symptoms, and functional limitations based on the Post–COVID-19 Functional Status (PCFS) scale and EuroQol-5 Dimensions-5 Levels scale. Results: Of 469 potentially eligible patients, 468 survived, of whom 439 (mean age 59 years; 54% men) participated in the Post-OVID study. There was no difference in terms of hospitalization and death (8.3% in the treatment group vs 10% in controls; relative risk, 0.83; 95% CI, 0.5-1.5) and of cardiovascular events between groups. The risk of presenting with long COVID symptoms was similar in the 2 groups (44% in the treatment group vs 47% in the standard of care group), with no difference between groups also concerning individual symptoms. A PCFS grade of 1 to 3, indicating light-to-moderate functional limitation, was recorded in 15% of patients in each group (odds ratio, 0.98; 95% CI, 0.6-1.7). No patients reported severe limitations (PCFS grade 4). Median EuroQol visual analog scale score was 85 on 100 points (IQR, 80-90 for the standard of care group and 75-90 for the enoxaparin group). Conclusion: Early thromboprophylaxis does not improve long-term, 2-year clinical and functional outcomes among symptomatic ambulatory patients with acute COVID-19.

Background The severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) pandemic forced hospitals to redistribute resources for the treatment of patients with coronavirus disease 2019 (COVID‑19), yet the impact on elective and emergency inpatient procedure volumes is unclear.Methods We analyzed anonymized data on 234 921 hospitalizations in 2017‑2020 (55.9% elective) from a big Swiss health insurer. We used linear regression models to predict, based on pre‑pandemic data, the expected weekly numbers of procedures in 2020 in the absence of a pandemic and compared these to the observed numbers in 2020. Compensation effects were investigated by discretely integrating the difference between the two numbers over time.Results During the first COVID‑19 wave in spring 2020, elective procedure numbers decreased by 52.9% (95% confidence interval ‑64.5% to ‑42.5%), with cardiovascular and orthopedic elective procedure numbers specifically decreasing by 45.5% and 72.4%. Elective procedure numbers normalized during summer with some compensation of postponed procedures, leaving a deficit of ‑9.9% (‑15.8% to ‑4.5%) for the whole year 2020. Emergency procedure numbers also decreased by 17.1% (‑23.7% to ‑9.8%) during the first wave, but over the whole year 2020, net emergency procedure volumes were similar to control years.Conclusion Inpatient procedure volumes in Switzerland decreased considerably in the beginning of the pandemic but recovered quickly after the first wave. Still, there was a net deficit in procedures at the end of the year. Health system leaders must work to ensure that adequate access to non‑COVID‑19 related care is maintained during future pandemic phases in order to prevent negative health consequences.

Abstract Few studies were developed to understand the relationship between running characteristics and motivation. The purpose of this study was to assess the relationship between running event history, running experience, and best race performances in recreational distance runners. We used a web survey to obtain information regarding running experience, racing history, and periodization training routines/exercise habits, including weekly volumes and daily mileage and duration across periods and conditions. Associations between variables were conducted with the Chi-square test (χ2; nominal scale) and Wilcoxon test. Multiple linear regression analysis and multivariate linear regression were performed. Concerning the participants’ motive for exercising, a significant difference was identified between the race distance subgroups (p

BackgroundChronic conditions are a significant public health concern due to their rising prevalence, association with high mortality, and substantial healthcare costs. General practitioners play a crucial role in managing these conditions, and quality indicators are essential tools for assessing the quality of care. Electronic feedback reports incorporating quality indicator performance have shown promise in improving care quality. However, most studies have focused on single conditions or link feedback to financial incentives, which may not sustain long-term practice changes. This study aims to evaluate the effectiveness of a multi-condition electronic feedback reports on quality indicator performance in Swiss general practice without financial incentives.MethodsThis randomized controlled trial involves general practitioners enrolled in the FIRE project, a database of electronic medical records from Swiss primary care. Participants are randomized to receive either a plain feedback report or a comprehensive quality indicator -specific feedback report bi-monthly for 12 months. The plain feedback report contains descriptive summaries of practice activities, while the quality indicator-specific feedback report includes performance data on 14 quality indicators across cardiovascular, endocrine, pulmonary, and renal domains. The quality indicators were selected in multi-step process involving review of the literature and clinical guidelines, domain expert consultations, and a panel discussion with general practitioners. The primary study objective is to compare the effectiveness of the quality indicator-specific feedback report and of the plain feedback report with respect to the performance of the selected quality indicators.ConclusionThe study addresses a critical gap by evaluating a multi-condition feedback report without financial incentives. Its findings can inform future health policies and strategies, in line with national and international initiatives that promote or even require the implementation of quality measurement activities in general practice.Trial registrationTrial registry: ISRCTN. Registration number: ISRCTN10637092, https://www.isrctn.com/ISRCTN10637092. Registered January 9, 2024.

In this paper, we discuss how artificial intelligence chatbots based on large-scale language models (LLMs) can be used to disseminate information about the benefits of physical exercise for individuals with epilepsy. LLMs have demonstrated the ability to generate increasingly detailed text and allow structured dialogs. These can be useful tools, providing guidance and advice to people with epilepsy on different forms of treatment as well as physical exercise. We also examine the limitations of LLMs, which include the need for human supervision and the risk of providing imprecise and unreliable information regarding specific or controversial aspects of the topic. Despite these challenges, LLM chatbots have demonstrated the potential to support the management of epilepsy and break down barriers to information access, particularly information on physical exercise.

There currently exists no comprehensive and up-to date overview on the financial impact of the different adverse events covered by the Patient Safety Indicators (PSIs) from the Agency for Healthcare Research and Quality. We conducted a retrospective case-control study using propensity score matching on a national administrative data set of 1 million inpatients in Switzerland to compare excess costs associated with 16 different adverse events both individually and on a nationally aggregated level. After matching 8,986 cases with adverse events across the investigated PSIs to 26,931 controls, we used regression analyses to determine the excess costs associated with the adverse events and to control for other cost-related influences. The average excess costs associated with the PSI-related adverse events ranged from CHF 1,211 (PSI 18, obstetric trauma with instrument) to CHF 137,967 (PSI 10, postoperative acute kidney injuries) with an average of CHF 27,409 across all PSIs. In addition, adverse events were associated with 7.8-day longer stays, 2.5 times more early readmissions (within 18 days), and 4.1 times higher mortality rates on average. At a national level, the PSIs were associated with CHF 347 million higher inpatient costs in 2019, which corresponds to about 2.2% of the annual inpatient costs in Switzerland. By comparing the excess costs of different PSIs on a nationally aggregated level, we offer a financial perspective on the implications of in-hospital adverse events and provide recommendations for policymakers regarding specific investments in patient safety to reduce costs and suffering.

BackgroundAlthough runner’s profiles were previously investigated, information on the training frequency and training distance for short (5 km, 10 km) and long-distance (>21 km) running is absent. The present study aimed to investigate the associations between training routines and exercise habits of recreational endurance runners considering self-reported preferred race distance [10 km, half-marathon (HM), and marathon/ultra-marathon (M/UM)] subgroups.MethodsThis is a cross-sectional study, sampling 154 recreational runners of both sexes. A web survey was used for data collection regarding age, sex, preferred distance (10-km, HM, M/UM), training routines, exercise habits, and periodized training routines. The Chi-square test (Cramer’s V) and Kruskal-Wallis test (Eta-Squared η2) with effect sizes were used for comparisons between race distances.ResultsSignificant differences were shown for anthropometric, training, and periodization characteristics. Highly significant differences were found between subgroups for the number of sessions, running kilometers, and training hours at all periods and within all four preparation conditions. M/UM runners were training more frequently, for longer durations, and ran greater distances each week.ConclusionThis finding supports the notion that training habits and periodization characteristics are different for different race distances (10-km, half marathon, marathon, and ultramarathon).

BACKGROUND: Primary care databases collect electronic medical records with routine data from primary care patients. The identification of chronic diseases in primary care databases often integrates information from various electronic medical record components (EMR-Cs) used by primary care providers. This study aimed to estimate the prevalence of selected chronic conditions using a large Swiss primary care database and to examine the importance of different EMR-Cs for case identification. METHODS: Cross-sectional study with 120,608 patients of 128 general practitioners in the Swiss FIRE (“Family Medicine Research using Electronic Medical Records”) primary care database in 2019. Sufficient criteria on three individual EMR-Cs, namely medication, clinical or laboratory parameters and reasons for encounters, were combined by logical disjunction into definitions of 49 chronic conditions; then prevalence estimates and measures of importance of the individual EMR-Cs for case identification were calculated. RESULTS: A total of 185,535 cases (i.e. patients with a specific chronic condition) were identified. Prevalence estimates were 27.5% (95% CI: 27.3–27.8%) for hypertension, 13.5% (13.3–13.7%) for dyslipidaemia and 6.6% (6.4–6.7%) for diabetes mellitus. Of all cases, 87.1% (87.0–87.3%) were identified via medication, 22.1% (21.9–22.3%) via clinical or laboratory parameters and 19.3% (19.1–19.5%) via reasons for encounters. The majority (65.4%) of cases were identifiable solely through medication. Of the two other EMR-Cs, clinical or laboratory parameters was most important for identifying cases of chronic kidney disease, anorexia/bulimia nervosa and obesity whereas reasons for encounters was crucial for identifying many low-prevalence diseases as well as cancer, heart disease and osteoarthritis. CONCLUSIONS: The EMR-C medication was most important for chronic disease identification overall, but identification varied strongly by disease. The analysis of the importance of different EMR-Cs for estimating prevalence revealed strengths and weaknesses of the disease definitions used within the FIRE primary care database. Although prioritising specificity over sensitivity in the EMR-C criteria may have led to underestimation of most prevalences, their sex- and age-specific patterns were consistent with published figures for Swiss general practice.

Abstract Background Several changes have led to general practitioners (GPs) working in a more differentiated setting today and being supported by other health professions. As practice changes, primary care specific continuing medical education (CME) may also need to adapt. By comparing different primary care specific CME approaches for GPs across Europe, we aim at identifying challenges and opportunities for future development. Methods Narrative review assessing, analysing and comparing CME programs for general practitioners across different north-western European countries (UK, Norway, the Netherlands, Belgium (Flanders), Germany, Switzerland, and France). Templates containing detailed items across seven dimensions of country-specific CME were developed and used. These dimensions are role of primary care within the health system, legal regulations regarding CME, published aims of CME, actual content of CME, operationalisation, funding and sponsorship, and evaluation. Results General practice specific CME in the countries under consideration are presented and comparatively analysed based on the dimensions defined in advance. This shows that each of the countries examined has different strengths and weaknesses. A clear pioneer cannot be identified. Nevertheless, numerous impulses for optimising future GP training systems can be derived from the examples presented. Conclusions Independent of country specific CME programs several fields of potential action were identified: the development of curriculum objectives for GPs, the promotion of innovative teaching and learning formats, the use of synergies in specialist GP training and CME, the creation of accessible yet comprehensive learning platforms, the establishment of clear rules for sponsorship, the development of new financing models, the promotion of fair competition between CME providers, and scientifically based evaluation.

PurposeThe aim of the study was to investigate the effects of a 10-week plyometric training (PT) on changes of direction, jumping ability, repeated sprint ability, and both muscular strength and power in youth female handball players.MethodsTwenty-eight participants (age: 15.8 ± 0.2 years) were randomly divided into a plyometric group (PG; n = 14) or a control group (CG; n = 14). Significant (group × time) interaction was noted for change of direction (COD) [Modified agility T-test (T-half)], three jumping tests [squat jump (SJ), countermovement jump (CMJ) and standing long jump (SLJ)], repeated sprint ability (RSA), muscular strength (1-RM bench press and 1-RM half squat) and muscular power (force-velocity test for both upper and lower limb).ResultsWith a group × time interaction, the PG enhanced the T-half performance [p

Abstract Endurance running is well-documented to affect health beneficially. However, data are still conflicting in terms of which race distance is associated with the maximum health effects to be obtained. Therefore, the aim of this study was to compare the health status of endurance runners over different race distances. A total of 245 recreational runners (141 females, 104 males) completed an online survey. Health status was assessed by measuring eight dimensions in two clusters of health-related indicators (e.g., body weight, mental health, chronic diseases and hypersensitivity reactions, medication intake) and health-related behaviors (e.g., smoking habits, supplement intake, food choice, healthcare utilization). Each dimension consisted of analytical parameters derived to a general domain score between 0 and 1. Data analysis was performed by using non-parametric ANOVA and MANOVA. There were 89 half-marathon (HM), 65 marathon/ultra-marathon (M/UM), and 91 10-km runners. 10-km runners were leaner than both the HM and M/UM runners (p ≤ 0.05). HM runners had higher health scores for six dimensions (body weight, mental health, chronic diseases and hypersensitivity reactions, medication intake, smoking habits, and health care utilization), which contributed to an average score of 77.1% (score range 62–88%) for their overall state of health. Whereas 10-km and M/UM runners had lesser but similar average scores in the overall state of health (71.7% and 72%, respectively). Race distance had a significant association with the dimension “chronic diseases and hypersensitivity reactions” (p ≤ 0.05). Despite the null significant associations between race distance and seven (out of eight) multi-item health dimensions, a tendency towards better health status (assessed by domain scores of health) among HM runners was found compared to other distance runners. However, the optimal state of health across all race distances supported the notion that endurance running contributed to overall health and well-being. Trial registration number: ISRCTN73074080. Retrospectively registered 12th June 2015.

Abstract Background As most countries, Switzerland is experiencing a shortage of physicians especially in general practice and new medical education tracks with respective focusses have been started in response. This study investigated Swiss medical students’ career openness and attractiveness of different medical disciplines as well as the concordance of students’ career intentions with assigned medical education tracks. Methods Cross-sectional study surveying first year medical students assigned to four different Swiss medical education tracks with distinctive additional education focuses (ETH Zurich: medical technology and engineering, University of St. Gallen and University of Lucerne: primary healthcare and University of Zurich: no distinctive focus). Results We surveyed 354 medical students (response rate across all included medical education tracks 71.1%), 64.8% female, mean age 20 years. Regarding career openness, we found that 52.8% of medical students had neither a strong commitment nor a strong reservation for any of the proposed career options and 17.0% had a strong commitment. Among medical disciplines, medical subspecialties were attractive to the largest part of students (inpatient subspecialties attractive for 71%, outpatient for 58%), attractiveness of general practice was moderate (30%), academic (22%) and industrial sector (17%) careers were least attractive. Proportions of medical students attracted to general practice were similar at medical education tracks with focus on primary healthcare compared to other medical education tracks (32.2% vs. 25.8%, p = 0.391). Conversely, proportions of medical students attracted to academic or industry careers were significantly higher at the ETH Zurich compared to other medical education tracks (37.2%, vs. 13.1%, p

Background: Chronic conditions are a significant public health concern due to their rising prevalence, association with high mortality, and substantial healthcare costs. General practitioners play a crucial role in managing these conditions, and quality indicators are essential tools for assessing the quality of care. Electronic feedback reports incorporating quality indicator performance have shown promise in improving care quality. However, most studies have focused on single conditions or link feedback to financial incentives, which may not sustain long-term practice changes. This study aims to evaluate the effectiveness of a multi-condition electronic feedback reports on quality indicator performance in Swiss general practice without financial incentives. Methods: This randomized controlled trial involves general practitioners enrolled in the FIRE project, a database of electronic medical records from Swiss primary care. Participants are randomized to receive either a plain feedback report or a comprehensive quality indicator -specific feedback report bi-monthly for 12 months. The plain feedback report contains descriptive summaries of practice activities, while the quality indicator-specific feedback report includes performance data on 14 quality indicators across cardiovascular, endocrine, pulmonary, and renal domains. The quality indicators were selected in multi-step process involving review of the literature and clinical guidelines, domain expert consultations, and a panel discussion with general practitioners. The primary study objective is to compare the effectiveness of the quality indicator-specific feedback report and of the plain feedback report with respect to the performance of the selected quality indicators. Conclusion: The study addresses a critical gap by evaluating a multi-condition feedback report without financial incentives. Its findings can inform future health policies and strategies, in line with national and international initiatives that promote or even require the implementation of quality measurement activities in general practice. Trial registration: Trial registry: ISRCTN. Registration number: ISRCTN10637092, https://www.isrctn.com/ISRCTN10637092. Registered January 9, 2024. [ABSTRACT FROM AUTHOR]

Extensive research has delved into the impact of environmental circumstances on the pacing and performance of professional marathon runners. However, the effects of environmental conditions on the pacing strategies employed by marathon participants in general remain relatively unexplored. This study aimed to examine the potential associations between various environmental factors, encompassing temperature, barometric pressure, humidity, precipitation, sunshine, cloud cover, wind speed, and dew point, and the pacing behavior of men and women. The retrospective analysis involved a comprehensive dataset comprising records from a total of 668,509 runners (520,521 men and 147,988 women) who participated in the 'Berlin Marathon' events between the years 1999 and 2019. Through correlations, Ordinary Least Squares (OLS) regression, and machine learning (ML) methods, we investigated the relationships between adjusted average temperature values, barometric pressure, humidity, precipitation, sunshine, cloud cover, wind speed, and dew point, and their impact on race times and paces. This analysis was conducted across distinct performance groups, segmented by 30-minute intervals, for race durations between 2 hours and 30 minutes to 6 hours. The results revealed a noteworthy negative correlation between rising temperatures and declining humidity throughout the day and the running speed of marathon participants in the 'Berlin Marathon.' This effect was more pronounced among men than women. The average pace for the full race showed positive correlations with temperature and minutes of sunshine for both men and women. However, it is important to note that the predictive capacity of our model, utilizing weather variables as predictors, was limited, accounting for only 10% of the variance in race pace. The susceptibility to temperature and humidity fluctuations exhibited a discernible increase as the marathon progressed. While weather conditions exerted discernible influences on running speeds and outcomes, they did not emerge as significant predictors of pacing. [ABSTRACT FROM AUTHOR]

Background: The sex difference in athletic performance has been thoroughly investigated in single sport disciplines such as swimming, cycling, and running. In contrast, only small samples of long-distance triathlons, such as the IRONMAN® triathlon, have been investigated so far. Aim: The aim of the study was to examine potential sex differences in the three split disciplines by age groups in 5-year intervals in a very large data set of IRONMAN® age group triathletes. Methods: Data from 687,696 (553,608 men and 134,088 women) IRONMAN® age group triathletes (in 5-year intervals from 18–24 to 75+ years) finishing successfully between 2002 and 2022 an official IRONMAN® race worldwide were analyzed. The differences in performance between women and men were determined for each split discipline and for the overall race distance. Results: Most finishers were in the age group 40–44 years. The fastest women were in the age group 25–29 years, and the fastest men were in the age group 30–34 years. For all split disciplines and overall race time, men were always faster than women in all groups. The performance difference between the sexes was more pronounced in cycling compared to swimming and running. From the age group 35–39 years until 60–64 years, the sex differences were nearly identical in swimming and running. For both women and men, the smallest sex difference was least significant in age group 18–24 years for all split disciplines and increased in a U-shaped manner until age group 70–74 years. For age groups 75 years and older, the sex difference decreased in swimming and cycling but increased in running. Considering the different characteristics of the race courses, the smallest performance gaps between men and women were found in river swimming, flat surface cycling and rolling running courses. Conclusions: The sex difference in the IRONMAN® triathlon was least significant in age group 18–24 years for all split disciplines and increased in a U-shaped manner until age group 70–74 years. For 75 years and older, the sex difference decreased in swimming and cycling but increased in running. [ABSTRACT FROM AUTHOR]

Given the increasing popularity of CrossFit® as a high-intensity functional training program and the potential benefits of citrulline malate (CM) in enhancing exercise performance through its role as a precursor to L-arginine and nitric oxide production, this study aimed to investigate the acute effects of CM supplementation on CrossFit® performance and cardiovascular function. Using a randomized, double-blind, placebo-controlled, cross-over design, 21 recreationally active participants (mean age 22.2 ± 2.6 years, mean body weight 75.9 ± 10.4 kg) with CrossFit® experience completed the "Cindy" workout under CM and placebo conditions. Participants consumed 4.4 g of CM or a placebo 60 min before the workout, and the performance was measured by the number of rounds completed. Secondary outcomes included heart rate response, time spent in different heart rate intensity zones, and post-exercise recovery time. The results indicated no significant difference in the number of rounds completed between the CM and placebo conditions (13.5 ± 5.2 vs. 13.8 ± 6.7 rounds, respectively; p = 0.587). However, the time spent in zone 4 (80–90% of HR max) was significantly increased in the CM condition (527 ± 395 s vs. 453 ± 334 s; p = 0.017), suggesting a potential benefit for aerobic capacity and anaerobic threshold. No significant differences in post-exercise recovery time were observed (6.6 ± 4.7 h vs. 6.9 ± 4.7 h; p = 0.475). This study highlights the need for further research with larger sample sizes, both genders, and different CM dosages to clarify these findings and better understand CM's role in enhancing athletic performance. [ABSTRACT FROM AUTHOR]

Abstract Background Physical activity is a multifactorial trait, determined by both individual and environmental characteristics, it seems relevant to understand the determinants related to youth guidelines accomplishment. The present study aimed to verify the differences between the Brazilian federative units regarding to the prevalence of youth physical activity guidelines accomplishment and to investigate the determinants related to the inter-individual differences in this accomplishment. Methods Sample comes from the 2015 Brazilian National School Health Survey (PeNSE), comprising 99,570 adolescents (51,527 girls, 13-17y), enrolled in 3039 schools. Adolescents reported the time they spend in moderate-to-vigorous physical activity daily, and they were categorized as active or inactive, if the guidelines were achieved, or not, respectively, and multilevel statistical analyses were used, including both child and school-level variables. Multilevel Binomial model was computed in the SuperMix software. Results The majority of the adolescents did not comply with the physical activity guidelines daily, where Bahian children complied the least, while those from Amazonas, Tocantins, and Mato Grosso do Sul complied the most. Boys (OR: 2.305; 95%CI: 2.277-2.334), older adolescents (OR: 1.044; 95%CI: 1.036-1.051), and those who spent more time in active travelling to/from school (OR: 1.001; 95%CI: 1.001-1.001) complied more the physical activity guidelines. At the school level, adolescents from larger schools (OR: 0.957; 95%CI: 0.928-0.986) tended to comply less with the guidelines. Conclusion Significant differences between Brazilian federative units in youth daily physical activity guidelines compliance were observed, highlighting the role of individual but also environmental constraints in the Brazilian adolescents’ engagement in physical activity.