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  • 1.
    Sandhu, Gurmit
    et al.
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland.
    Kilburg, Anne
    Kilburg Dialogue, Allschwil, Switzerland.
    Martin, Andreas
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.
    Pande, Charuta
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.
    Witschel, Hans Friedrich
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.
    Laurenzi, Emanuele
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.
    Billing, Erik
    University of Skövde, School of Informatics. Högskolan i Skövde, Forskningsmiljön Informationsteknologi.
    A Learning Tracker using Digital Biomarkers for Autistic Preschoolers2022In: Proceedings of the Society 5.0 Conference 2022 - Integrating Digital World and Real World to Resolve Challenges in Business and Society / [ed] Knut Hinkelmann; Aurona Gerber, EasyChair , 2022, p. 219-230Conference paper (Refereed)
    Abstract [en]

    Preschool children, when diagnosed with Autism Spectrum Disorder (ASD), often ex- perience a long and painful journey on their way to self-advocacy. Access to standard of care is poor, with long waiting times and the feeling of stigmatization in many social set- tings. Early interventions in ASD have been found to deliver promising results, but have a high cost for all stakeholders. Some recent studies have suggested that digital biomarkers (e.g., eye gaze), tracked using affordable wearable devices such as smartphones or tablets, could play a role in identifying children with special needs. In this paper, we discuss the possibility of supporting neurodiverse children with technologies based on digital biomark- ers which can help to a) monitor the performance of children diagnosed with ASD and b) predict those who would benefit most from early interventions. We describe an ongoing feasibility study that uses the “DREAM dataset”, stemming from a clinical study with 61 pre-school children diagnosed with ASD, to identify digital biomarkers informative for the child’s progression on tasks such as imitation of gestures. We describe our vision of a tool that will use these prediction models and that ASD pre-schoolers could use to train certain social skills at home. Our discussion includes the settings in which this usage could be embedded. 

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  • 2.
    Wolters, Maike
    et al.
    Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
    Intemann, Timm
    Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
    Russo, Paola
    Institute of Food Sciences, National Research Council, Avellino, Italy.
    Moreno, Luis A.
    GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain and Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
    Molnar, Dénes
    Department of Pediatrics, Medical School, University of Pécs, Hungary.
    Veidebaum, Toomas
    National Institute for Health Development, Estonian Centre of Behavioral and Health Sciences, Tallinn, Estonia.
    Tornaritis, Mihael
    Research and Education Institute of Child Health, Strovolos, Cyprus.
    De Henauw, Stefaan
    Department of Public Health and Primary Care, Ghent University, Belgium.
    Eiben, Gabriele
    Högskolan i Skövde, Institutionen för hälsovetenskaper.
    Ahrens, Wolfgang
    Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany ; Institute of Statistics, Faculty of Mathematics and Computer Science, University of Bremen, Germany.
    Floegel, Anna
    Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
    25-Hydroxyvitamin D reference percentiles and the role of their determinants among European children and adolescents2022In: European Journal of Clinical Nutrition, ISSN 0954-3007, E-ISSN 1476-5640, Vol. 76, no 4, p. 564-573Article in journal (Refereed)
    Abstract [en]

    Background/objectives

    To provide age- and sex-specific percentile curves of serum 25-hydroxyvitamin D (25(OH)D) by determinants from 3-<15 year-old European children, and to analyse how modifiable determinants influence 25(OH)D.

    Subjects/methods

    Serum samples were collected from children of eight European countries participating in the multicenter IDEFICS/I.Family cohort studies. Serum 25(OH)D concentrations were analysed in a central lab by a chemiluminescence assay and the values from 2171 children (N = 3606 measurements) were used to estimate percentile curves using the generalized additive model for location, scale and shape. The association of 25(OH)D with time spent outdoors was investigated considering sex, age, country, parental education, BMI z score, UV radiation, and dietary vitamin D in regressions models.

    Results

    The age- and sex-specific 5th and 95th percentiles of 25(OH)D ranged from 16.5 to 73.3 and 20.8 to 79.3 nmol/l in girls and boys, respectively. A total of 63% had deficient (<50 nmol/l), 33% insufficient (50-<75 nmol/l) and 3% sufficient (≥75 nmol/l) levels. 25(OH)D increased with increasing UV radiation, time spent outdoors, and vitamin D intake and slightly decreased with increasing BMI z score and age. The odds ratio (OR) for a non-deficient 25(OH)D status (reference category: deficient status) by one additional hour spent outdoors was 1.21, 95% CI [1.12–1.31], i.e., children who spent one more hour per day outdoors than other children had a 21% higher chance of a non-deficient than a deficient status.

    Conclusion

    A majority of children suffer from deficient 25(OH)D. UV radiation, outdoor time, and dietary vitamin D are important determinants of 25(OH)D.

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    FULLTEXT01
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