26 research outputs found

    Training Schedule and Sleep in Adolescent Swimmers

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    Publisher's version (útgefin grein)Insufficient sleep duration may affect athletic performance and health. Inconsistent sleep pattern also has negative health effects, but studies on athletes’ intraindividual sleep variability are scarce. The aim of this research was to compare total sleep time (TST) and variability (TST-variability), wakening after sleep onset, and sleep efficiency, during nights preceding early morning practices with other nights, and to investigate sleep characteristics of nights following a day with early morning only, evening only, or both a morning and an evening session in adolescent swimmers. Methods: Wrist-worn accelerometers were used to measure 1 week of sleep in 108 swimmers (mean age 16.1 [2.6] y) in Iceland. Adjusted regression analyses and linear mixed models were used to explore associations of training schedules with TST, TST-variability, wakening after sleep onset, and sleep efficiency. Results: Mean TST was 6:32 (h:min) (±39 min) and TST-variability was 63 minutes (±25 min). TST decreased and TST-variability increased with more early morning practices. TST preceding early training was 5:36 and 5:06 in <16- and ≥16-year-olds, respectively, shorter than on nights preceding later or no morning training (P < .001). Conclusion: Swimmers have extremely short TST preceding early morning sessions and increased TST-variability with more early morning sessions.The Icelandic Sport Fund funded this study. The Icelandic Sport Fund had no role in the design, analysis, or writing of this article. The author certifies that she has no affiliations with or involvement in any organization or entity with any financial interest, or nonfinancial interest in the subject matter or materials discussed in this manuscript. S.L.G. received funding, designed and executed the study, performed the statistical analyses, and wrote the manuscript.Peer Reviewe

    Serum 25-hydroxyvitamin D concentrations in 16-year-old Icelandic adolescent and its association with bone mineral density

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    Publisher's version (útgefin grein)Objective: The aim of the study was to assess the potential association between serum 25-hydroxyvitamin D (25(OH)D) and whole-body bone mineral density (BMD) among 16-year-old adolescents and to study the prevalence of 25(OH)D insufficiency, defined as concentration under 50 nmol/l.Design: A cross-sectional study.Setting: Reykjavik, Iceland, latitude 64°08′N. Measurements took place in the Icelandic Heart Association's research lab during April-June 2015.Participants: In total, 411 students in Reykjavik, Iceland, were invited to participate, 315 accepted the invitation (76·6 %) and 289 had valid data (mainly Caucasian).Results: 25(OH)D < 50 nmol/l was observed in 70 % of girls and 66·7 % of boys. 25(OH)D ≥ 50 nmol/l was significantly associated with higher whole-body BMD after adjusting for the influence of sex, height, fat mass and lean mass. A linear relationship between 25(OH)D and whole-body BMD was significant for 25(OH)D < 50 nmol/l (n 199, P < 0·05) but NS for 25(OH)D ≥ 50 nmol/l (n 86, P = 0·48).Conclusions: Our results are in line with some but not all previous studies on the relationship between BMD and 25(OH)D in adolescents. The observed difference in BMD between those with above v. below a 25(OH)D concentration of 50 nmol/l was of about a fifth of one SD, which may have a clinical relevance as one SD decrease in volumetric BMD has been associated with a 89 % increase in 2 years risk of fracture. Icelandic adolescents should be encouraged to increase their vitamin D intake as it is possible that their current intake is insufficient to achieve optimal peak bone mass.The authors would like to thank the participants of the study, the staff at the Icelandic Heart Association. They also thank The Icelandic Centre for Research (RANNIS) and the Research Fund of the Icelandic College of Family Physicians for financial support. Financial support : The study was funded by the Icelandic Centre for research (RANNIS) (grant number 152509-051). Conflict of interest : The authors certify that they have NO affiliations with or involvement in any organisation or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. Authorship : S.L.G. and H.H. wrote the manuscript with input from all authors. H.H. and S.L.G. designed the statistical models and H.H. performed the data analyses. E.L.S. and E.J. conceived the study and managed the overall direction of the project. Disclosure: The Icelandic Centre for Research had no role in the design, analysis or writing of this article. Ethics of human subject participation : The current study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving research study participants were approved by The National Bioethics Committee in Iceland. Written informed consent was obtained from all subjects and their guardians.Peer Reviewe

    Less physical activity and more varied and disrupted sleep is associated with a less favorable metabolic profile in adolescents

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    Publisher's version (útgefin grein)Background: Sleep and physical activity are modifiable behaviors that play an important role in preventing overweight, obesity, and metabolic health problems. Studies of the association between concurrent objective measures of sleep, physical activity, and metabolic risk factors among adolescents are limited. Objective: The aim of the study was to examine the association between metabolic risk factors and objectively measured school day physical activity and sleep duration, quality, onset, and variability in adolescents. Materials and methods: We measured one school week of free-living sleep and physical activity with wrist actigraphy in 252 adolescents (146 girls), aged 15.8±0.3 years. Metabolic risk factors included body mass index, waist circumference, total body and trunk fat percentage, resting blood pressure, and fasting glucose and insulin levels. Multiple linear regression adjusted for sex, parental education, and day length was used to assess associations between metabolic risk factors and sleep and activity parameters. Results: On average, participants went to bed at 00:22±0.88 hours and slept 6.2±0.7 hours/night, with 0.83±0.36 hours of awakenings/night. However, night-to-night variability in sleep duration was considerable (mean ± interquartile range) 0.75±0.55 hours) and bedtime (0.64±0.53 hours) respectively. Neither average sleep duration nor mean bedtime was associated with any metabolic risk factors. However, greater night-to-night variability in sleep duration and bedtime was associated with higher total body and trunk fat percentage, and less physical activity was associated with higher trunk fat percentage and insulin levels. Conclusion: Greater nightly variation in sleep duration and in bedtime and less physical activity were associated with a less favorable metabolic profile in adolescents. These findings support the idea that, along with an adequate amount of physical activity, a regular sleep schedule is important for the metabolic health of adolescents.VR had financial support by The Icelandic Centre for Research (RANNIS) The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer Reviewe

    Normal neonatal TREC and KREC levels in early onset juvenile idiopathic arthritis

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    Objective: Dysregulated central tolerance predisposes to autoimmune diseases. Reduced thymic output as well as compromised central B cell tolerance checkpoints have been proposed in the pathogenesis of juvenile idiopathic arthritis (JIA). The aim of this study was to investigate neonatal levels of T-cell receptor excision circles (TRECs) and kappa-deleting element excision circles (KRECs), as markers of T- and B-cell output at birth, in patients with early onset JIA. Methods: TRECs and KRECs were quantitated by multiplex qPCR from dried blood spots (DBS), collected 2–5 days after birth, in 156 children with early onset JIA and in 312 matched controls. Results: When analysed from neonatal dried blood spots, the median TREC level was 78 (IQR 55–113) in JIA cases and 88 (IQR 57–117) copies/well in controls. The median KREC level was 51 (IQR 35–69) and 53 (IQR 35–74) copies/well, in JIA cases and controls, respectively. Stratification by sex and age at disease onset did not reveal any difference in the levels of TRECs and KRECs. Conclusion: T- and B-cell output at birth, as measured by TREC and KREC levels in neonatal dried blood spots, does not differ in children with early onset JIA compared to controls

    Longitudinal Change in Adolescent Bedtimes Measured by Self-Report and Actigraphy

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    Introduction: Sleep is often quantified using self-report or actigraphy. Self-report is practical and less technically challenging, but prone to bias. We sought to determine whether these methods have comparable sensitivity to measure longitudinal changes in adolescent bedtimes. Methods: We measured one week of free-living sleep with wrist actigraphy and usual bedtime on school nights and non-school nights with self-report questionnaire in 144 students at 15 y and 17 y. Results: Self-reported and actigraphy-measured bedtimes were correlated with one another at 15 y and 17 y (p 30 minutes, p  ±106 minutes). Mean inter-method discrepancy did not differ on school nights at 15 y and 17 y but was greater at 17 y on non-school nights (p = .002). Inter-method discrepancy at 15 y was not correlated to that at 17 y. Mean change in self-reported school night bedtime from 15 y to 17 y did not differ from that by actigraphy, but self-reported bedtime changed less on non-school nights (p = .002). Two-year changes in self-reported bedtime did not correlate with changes measured by actigraphy. Conclusions: Although methods were correlated, consistently earlier self-reported bedtime suggests report-bias. More varied non-school night bedtimes challenge the accuracy of self-report and actigraphy, reducing sensitivity to change. On school nights, the methods did not differ in group-level sensitivity to changes in bedtime. However, lack of correlation between bedtime changes by each method suggests sensitivity to individual-level change was different. Methodological differences in sensitivity to individual- and group-level change should be considered in longitudinal studies of adolescent sleep patterns.Peer Reviewe

    High expression of the vacuole membrane protein 1 (VMP1) is a potential marker of poor prognosis in HER2 positive breast cancer.

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    To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadBACKGROUND: Fusion genes result from genomic structural changes, which can lead to alterations in gene expression that supports tumor development. The aim of the study was to use fusion genes as a tool to identify new breast cancer (BC) genes with a role in BC progression. METHODS: Fusion genes from breast tumors and BC cell lines were collected from publications. RNA-Seq data from tumors and cell lines were retrieved from databanks and analyzed for fusions with SOAPfuse or the analysis was purchased. Fusion genes identified in both tumors (n = 1724) and cell lines (n = 45) were confirmed by qRT-PCR and sequencing. Their individual genes were ranked by selection criteria that included correlation of their mRNA level with copy number. The expression of the top ranked gene was measured by qRT-PCR in normal tissue and in breast tumors from an exploratory cohort (n = 141) and a validation cohort (n = 277). Expression levels were correlated with clinical and pathological factors as well as the patients' survival. The results were followed up in BC cohorts from TCGA (n = 818) and METABRIC (n = 2509). RESULTS: Vacuole membrane protein 1 (VMP1) was the most promising candidate based on specific selection criteria. Its expression was higher in breast tumor tissue than normal tissue (p = 1x10-4), and its expression was significantly higher in HER2 positive than HER2 negative breast tumors in all four cohorts analyzed. High expression of VMP1 associated with breast cancer specific survival (BCSS) in cohort 1 (hazard ratio (HR) = 2.31, CI 1.27-4.18) and METABRIC (HR = 1.26, CI 1.02-1.57), and also after adjusting for HER2 expression in cohort 1 (HR = 2.03, CI 1.10-3.72). BCSS was not significant in cohort 2 or TCGA cohort, which may be due to differences in treatment regimens. CONCLUSIONS: The results suggest that high VMP1 expression is a potential marker of poor prognosis in HER2 positive BC. Further studies are needed to elucidate how VMP1 could affect pathways supportive of tumorigenesis

    A novel ladder-like lectin relates to sites of mucosal immunity in Atlantic Halibut (Hippoglossus hippoglossus L.)

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    A novel 27 kDa ladder-lectin-like protein, showing a multimeric structure under non-reducing conditions, was isolated from halibut serum by binding to N-acetyl glucosamine. Mass-spectrometry analysis did not show significant homology with known proteins. Specific antibodies were produced and used in immunohistochemistry on tissue sections of early halibut ontogeny from 119 until 1050 °d post hatching. A strong positive response was detected in the mucosal cells of the skin, gills and gut, indicating a role in the mucosal immune defence at these sites. Further immunopositivity was detected in liver, myeloma of kidney and the brain at different developmental stages but predominant expression was found in mucosal surfaces at later stages of development tested (1050 °d). It is still uncertain whether this ladder-like lectin forms part of the complement pathway, as a lectin or ficolin, or if it belongs to galectins. A strong detection in mucosal surfaces on skin, gills and gut, show similar patterns of expression as both mucosal lectins and galectins in other fish. Detection in neuronal tissue may indicate putative roles in tissue remodelling of brain and in ongoing neurogenesis in the fish eye

    Body dissatisfaction, disordered eating and exercise behaviours: associations with symptoms of REDs in male and female athletes

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    Objectives Disordered eating and compulsive exercise behaviours are common among athletes and can increase the risk of relative energy deficiency in sport (REDs). Contrarily, the prevalence of muscle dysmorphia and its relationship with REDs are unknown. This cross-sectional study aimed to evaluate associations of all three with REDs symptoms.Methods Elite and subelite Icelandic athletes (n=83, 67.5% females) answered the Low Energy Availability in Females/Males Questionnaires (LEAF-Q/LEAM-Q), Eating Disorder Examination–Questionnaire Short (EDE-QS), Exercise Addiction Inventory (EAI) and Muscle Dysmorphic Disorder Inventory (MDDI). Body composition was assessed via dual-energy X-ray absorptiometry; resting metabolic rate via indirect calorimetry; and blood samples were drawn for analysis of nutrition and hormonal status. Females were compared based on LEAF-Q total score (≥8 (at risk) vs &lt;8). Simple linear regression was applied to evaluate associations of (a) testosterone with other objective measures and LEAM-Q scores in males; and (b) LEAF-Q/LEAM-Q scores with EDE-QS, EAI and MDDI scores.Results In total, 8.4% of participants scored above cut-off on EDE-QS, 19.3% on EAI and 13.3% on MDDI. Females with LEAF-Q total score ≥8 had higher median scores on EDE-QS, EAI and MDDI compared with those scoring &lt;8. Testosterone was positively associated with iron and inversely with total iron-binding capacity but was not associated with scoring on any of the administered questionnaires.Conclusion Drive for muscularity and aesthetic physique may play a role in the complex presentation of REDs. Screening for muscle dysmorphia, in addition to disordered eating and compulsive exercise, could therefore facilitate early detection of REDs

    Portrait of Walter Burley Griffin, ca, 1912, [13] [transparency].

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    Part of the collection: Eric Milton Nicholls collection.; Title from acquisition documentation.; Condition: Fair.; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn3993016
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