Sedentary behaviour among elite professional footballers: Health and performance implications

Background: Elite athletes should have little concern about meeting recommended guidelines on physical activity. However, sedentary behaviour is considered a health risk independent of physical activity, and is recognised in public health guidelines advising against prolonged sedentary time. There has been very little research on athletes’ physical activity behaviour outside elite sport. Methods: Given health and performance links, we investigated in-season post-training activity levels in 28 elite professional footballers during the English Premiership season. Players volunteered to wear a triaxial wrist accelerometer for 1 week, removing it only for training and matches. In total, 25 players met the inclusion criteria for analysis. Players recorded on average 632.6 min wear time p/day during the post-training period (SD±52.9) for a mean of 3.8 days (SD±1.5). Results: On average, players recorded 76.2 min p/day (SD±28.8) of moderate or vigorous activity post-training. The majority (79%) of post-training time was spent in sedentary activities (500.6 min per day±59.0). Conclusions: Professional footballers are alarmingly sedentary in their leisure time, and comparatively more so than non-athletic groups of a similar age and older. This raises questions over optimum recovery and performance, as well as long-term health and cardiovascular risk. Worryingly, retirement from elite sport is likely to further imbalance activity and sedentary behaviour. Promoting regular periodic light to moderate leisure time activity could be beneficial. Further research and provision of education and support for players is required in this area

Intravitreal triamcinolone acetonide as an adjunct in the treatment of severe ocular toxoplasmosis

Universidade Federal de São Paulo, Vis Inst, São Paulo, BrazilUniversidade Federal de São Paulo, Vis Inst, São Paulo, BrazilWeb of Scienc

'On Your Feet to Earn Your Seat': update to randomised controlled trial protocol

Background: This update describes changes to procedures for our randomised controlled trial of 'On Your Feet to Earn Your Seat', a habit-based intervention to reduce sedentary behaviour in older adults. Some of the amendments have arisen from the addition of new sites, each offering different possibilities and constraints for study procedures. Others have been made in response to problems encountered in administering intended recruitment procedures at the London sites described in our original protocol. All changes have received ethics and governance clearance, and were made before or during data collection and prior to analyses.Methods/design: Five non-London UK NHS-based sites (three general practices, one hospital, one NHS Foundation Trust) have been added to the study, each employing locally-tailored variations of recruitment and data collection procedures followed at the London sites. In contrast to the London sites, accelerometry data are not being collected nor are shopping vouchers being given to participants at the new sites. Data collection was delayed at the London sites because of technical difficulties in contacting participants. Subsequently, a below-target sample size was achieved at the London sites (n = 23), and recruitment rates cannot be estimated. Additionally, the physical inactivity inclusion criterion (i.e., <30 consecutive minutes of leisure time activity) has been removed from all sites, because we found that participants at the London sites meeting this criterion at consent subsequently reported activity above this threshold at the baseline assessment.Conclusion: This is primarily a feasibility trial. The addition of new sites, each employing different study procedures, offers the opportunity to assess the feasibility of alternative recruitment and data collection methods, so enriching the informational value of our analyses of primary outcomes. Recruitment has finished, and the coincidence of a small sample at the London sites with addition of new sites has ensured a final sample size similar to our original target

Urinary volatile organic compounds for the detection of prostate cancer

© 2015 Khalid et al.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The aim of this work was to investigate volatile organic compounds (VOCs) emanating from urine samples to determine whether they can be used to classify samples into those from prostate cancer and non-cancer groups. Participants were men referred for a trans-rectal ultrasound-guided prostate biopsy because of an elevated prostate specific antigen (PSA) level or abnormal findings on digital rectal examination. Urine samples were collected from patients with prostate cancer (n = 59) and cancer-free controls (n = 43), on the day of their biopsy, prior to their procedure. VOCs from the headspace of basified urine samples were extracted using solid-phase micro-extraction and analysed by gas chromatography/mass spectrometry. Classifiers were developed using Random Forest (RF) and Linear Discriminant Analysis (LDA) classification techniques. PSA alone had an accuracy of 62-64% in these samples. A model based on 4 VOCs, 2,6-dimethyl-7-octen-2-ol, pentanal, 3-octanone, and 2-octanone, was marginally more accurate 63-65%. When combined, PSA level and these four VOCs had mean accuracies of 74% and 65%, using RF and LDA, respectively. With repeated double cross-validation, the mean accuracies fell to 71% and 65%, using RF and LDA, respectively. Results from VOC profiling of urine headspace are encouraging and suggest that there are other metabolomic avenues worth exploring which could help improve the stratification of men at risk of prostate cancer. This study also adds to our knowledge on the profile of compounds found in basified urine, from controls and cancer patients, which is useful information for future studies comparing the urine from patients with other disease states

On Your Feet to Earn Your Seat::pilot RCT of a theory-based sedentary behaviour reduction intervention for older adults

BackgroundOf all age groups, older adults spend most of the time sitting and are least physically active. This sequential, mixed-methods feasibility study used a randomised controlled trial design to assess methods for trialling a habit-based intervention to displace older adults’ sedentary behaviour with light activity and explore impact on behavioural outcomes.MethodsEligibility criteria were age 60–74 years, retired, and ≥6 h/day leisure sitting. Data were collected across four sites in England. The intervention comprised a booklet outlining 15 ‘tips’ for disrupting sedentary habits and integrating activity habits into normally inactive settings, and eight weekly self-monitoring sheets. The control was a non-habit-based factsheet promoting activity and sedentary reduction. A computer-generated 1:1 block-randomisation schedule was used, with participants blinded to allocation. Participants self-reported sedentary behaviour (two indices), sedentary habit, physical activity (walking, moderate, vigorous activity) and activity habit, at pre-treatment baseline, 8- and 12-week follow-ups and were interviewed at 12 weeks. Primary feasibility outcomes were attrition, adverse events and intervention adherence. The secondary outcome was behavioural change.ResultsOf 104 participants consented, 103 were randomised (intervention N = 52, control N = 51). Of 98 receiving allocated treatment, 91 (93%; intervention N = 45; control N = 46) completed the trial. One related adverse event was reported in the intervention group. Mean per-tip adherence across 7 weeks was ≥50% for 9/15 tips. Qualitative data suggested acceptability of procedures, and, particularly among intervention recipients, the allocated treatment. Both groups appeared to reduce sedentary behaviour and increase their physical activity, but there were no apparent differences between groups in the extent of change.ConclusionsTrial methods were acceptable and feasible, but the intervention conferred no apparent advantage over control, though it was not trialled among the most sedentary and inactive population for whom it was developed. Further development of the intervention may be necessary prior to a large-scale definitive trial. One possible refinement would combine elements of the intervention with an informational approach to enhance effectiveness

Investigation of faecal volatile organic compounds as biomarkers for the diagnosis of necrotising enterocolitis

Necrotising enterocolitis (NEC) is the most prevalent and harmful illness in the neonatal intensive care unit. It primarily affects premature babies, with higher incidence in low birthweight patients. NEC usually occurs in the early days of life and may develop rapidly. Its diagnosis is based on medical observation because no early diagnostic tool is currently available. Over the last two decades, developments in analytical chemistry have allowed scientists to perform untargeted investigation of biological samples. Biomarkers are being sought, for a range of disorders, by investigating volatile organic compounds (VOCs) in bio-fluids. For the analysis of gas samples, solid phase micro-extraction (SPME) is a suitable technique to preconcentrate volatile compounds prior to analysis using devices such as gas chromatography – mass spectrometry (GC–MS). Recently, much attention has been directed towards the development of sensors and electronic noses to be used as diagnostic tools in hospitals, as they are generally more compact than a GC-MS and do not require specialised personnel. The work presented here is based on the hypothesis that faeces from patients suffering from necrotising enterocolitis show a specific pattern of volatile organic compounds in the days prior to diagnosis when compared with faeces from healthy patients. The objectives of this work were to develop two methods for the analysis of premature faeces using headspace–SPME–GC–MS and headspace – gas chromatography – sensor (HS–GC–Sensor), to analyse samples from healthy premature infants and premature infants affected by NEC using both instruments and to analyse the data collected. Methods were developed individually for each analytical technique. Two pipelines were applied for mass spectrometric data analysis while classification models were exclusively built using sensor data. Results obtained from HS–SPME–GC–MS data showed that the age at sampling had an influence on the number of compounds identified and on their intensities or relative abundance. Heptanal, 2-E-pentenal, hexanal and 2-methylbutanoic acid were identified as relevant compounds. Classifiers were built at days 1 to 6 prior to diagnosis. Accuracy, sensitivity and specificity of up to 74%, 62% and 79%, respectively, were obtained one day prior to diagnosis based on mass spectrometric data, while accuracy, sensitivity and specificity of 100% were obtained based on sensor data at two days prior to diagnosis. Therefore, classification of samples based on headspace analysis of faeces might have potential for the early diagnosis of necrotising enterocolitis

Sistema web para asistencia en el manejo integrado de malezas: temperatura y humedad de suelos

Un insumo imprescindible para lograr un buen manejo integrado de las malezas es una herramienta que permita estimar de manera precisa su emergencia a campo, es decir, anticipar los flujos de germinación en función de las condiciones meteorológicas de la zona. Con este objetivo se han desarrollado una gran variedad de modelos matemáticos que permiten estimar la emergencia de diferentes malezas basados en datos meteorológicos, en particular, temperatura y precipitación diarios. Entre estos modelos tienen una gran popularidad los de tipo logísticos (sigmoidales, weibull), que utilizan como variable descriptiva algún índice hidrotermal acumulado. Estos índices integran de manera sencilla e intuitiva el calor y la humedad necesarias para la salida de la dormición, la germinación y la emergencia de las malezas. Estos índices se construyen habitualmente con información de la temperatura y humedad del suelo a una dada profundidad en la que se estima se encuentra la semilla. El cálculo de estas variables se realiza mediante balances de masa y energía utilizando información meteorológica, principalmente temperaturas y precipitaciones diarias, así como radiación y viento, entre otras.Sociedad Argentina de Informática e Investigación Operativ

Patient preferences for advanced hepatocellular carcinoma treatment: a multicountry stated preference study

The present study aimed to explore patient preferences for attributes of advanced hepatocellular carcinoma (HCC) treatments. A stated preference survey was completed by 150 patients with HCC living in Europe. Overall survival (OS) was the most important attribute, closely followed by risk of diarrhea and hypertension, and other adverse event (AE) risks. Patients were willing to trade OS to reduce AE risks. While less important than OS and AEs, patients also preferred shorter waiting times, and one-off administration of selective internal radiation therapy and oral tablets over intravenous infusions. Although patients placed the most value on extending OS, they were willing to forego OS to avoid risk of treatment-related AEs, to maintain their quality of life