Posterpresentatie op Conferentie. Introduction: Classifiers are handshapes (sometimes combined with a specific orientation) that, when combined with the other parameters of movement and location form a ‘verb of motion or location’. There is a limited body of research available on the acquisition of classifiers by children. The available studies have focused on deaf children of deaf (DOD) parents, who are native signers. Results show that classifiers emerge at 3 years and approach an adult like level at the age of 9 (Beal Alvarez & Easterbrooks, 2013). This small study was set out to investigate the production of classifiers in DOH children who acquire Sign Language of the Netherlands. Our expectation was that DOH children produce classifiers, but fail to use them correctly in all instances due to lack of pragmatic control (Slobin et al., 2003). Method: Four children (two girls, two boys) were recruited at a school for the Deaf in The Netherlands (5;10 – 6;8 years). All children were deaf or severely hearing-impaired from birth. Children used (sign supported) Dutch at home and sign language at school and had approximately three years of exposure to sign language. Narratives (Frog-story) were recorded. The recordings were transcribed and analyzed using ELAN-software. Analysis focused on type of classifier (entity and handling) and accuracy in production. Results: The children produced 22 classifiers in total, 20 entity classifiers and 2 handling classifiers. Ten percent of the entity classifiers was incorrect; the handshape to express the entity did not match the handshape frequently selected for that entity. Conclusion: DOH children produce classifiers after three years of exposure to sign language. Errors in classifier production involved errors in handshape selection. This compares to type of errors frequently found for DOD children. Results will be discussed in relation to the iconic and gestural properties of classifiers (Cormier et al., 2012). References: Beal-Alvarez, J.S. & Easterbrooks, S.R. (2013). Increasing children’s ASL classifier production: A multicomponent intervention. American Annals of the Deaf, 158, 311 – 333. Cormier, K., Quinto-Pozos, D., Sevcikova, Z., Schembri, A. (2012). Lexicalisation and de-lexicalisation processes in sign languages: Comparing depicting constructions and viewpoint gestures. Language & Communication, 32, 329 – 348. Slobin, D., Hoiting, N., Kuntze, K., Lindert, R., Weinberg, A. Pyers, J., Anthony, M., Biederman, Y., Thumann, H. (2003). A cognitive/functional perspective on the acquisition of ‘classifiers’. In: Emmorey, K. (Ed.). Perspectives on classifier constructions in sign languages. Lawrence Erlbaum Associates, Mahwah, NJ. Pp 297 – 310.
BackgroundLittle is known about the association between fear of movement (kinesiophobia) and objectively measured physical activity (PA), the first 12 weeks after cardiac hospitalization.PurposeTo assess the longitudinal association between kinesiophobia and objectively measured PA and to assess the factor structure of kinesiophobia.MethodsWe performed a longitudinal observational study. PA was continuously measured from hospital discharge to 12 weeks using the Personal Activity Monitor. The PAM measures time spent per day in PA-intensity categories: light, moderate and heavy. Kinesiophobia was assessed with the Tampa Scale for Kinesiophobia (TSK) at four time points (hospital discharge, 3, 6 and 12 weeks). The longitudinal association between PA-intensity and kinesiophobia was studied with a random intercept cross lagged panel model (RI-CLPM). A RI-CLPM estimates effects from kinesiophobia on objectively measured PA and vice versa (cross-over effects), and autoregressive effects (e.g. kinesiophobia from one occasion to the next).ResultsIn total, 116 patients (83.6% male) with a median age of 65.5 were included in this study. On no occasion did we find an effect of kinesiophobia on PA and vice versa. Model fit for the original model was poor (X2: = 44.646 P<0.001). Best model fit was found for a model were kinesiophobia was modelled as a stable between factor (latent variable) and PA as autoregressive component (dynamic process) (X2 = 27.541 P<0.12).ConclusionKinesiophobia and objectively measured PA are not associated in the first 12 weeks after hospital discharge. This study shows that kinesiophobia remained relatively stable, 12 weeks after hospital discharge, despite fluctuations in light to moderate PA-intensity.
Given the substantial increase in children attending center-based childcare over the past decades, the consequences of center-based childcare for children’s development have gained more attention in developmental research. However, the relation between center-based childcare and children’s neurocognitive development remains relatively underexplored. The aim of this study was therefore to examine the relations between quantity of center-based childcare during infancy and the neurocognitive development (both functional brain networks and self-regulation) of 584 Dutch children. Small-world brain networks and children’s self-regulation were assessed during infancy (around 10 months of age) and the preschool period (2–6 years of age). The findings revealed that the quantity of center-based childcare during infancy was unrelated to individual differences in children’s functional brain networks. However, spending more hours per week in center-based childcare was positively related to the development of self-regulation in preschool age children, regardless of children’s sex or the levels of exposure to risk and maternal support in the home environment. More insight into the positive effects of center-based childcare on children’s development from infancy to toddlerhood can help to increase our insight into a better work–life balance and labor force participation of parents with young children. Moreover, this study highlights that Dutch center-based childcare offers opportunities to invest in positive child outcomes in children, including self-regulation.
Een op de vijf volwassenen krijgt te maken met chronische pijnklachten, waardoor de kwaliteit van leven vaak fors afneemt. Pijnrevalidatie richt zich op het verminderen van de ervaren beperkingen van deze groep patiënten; en wetenschappelijk onderzoek laat zien dat de effecten robuust, doch klein-tot-matig zijn. Net als overal in de gezondheidszorg is er binnen pijnrevalidatie de push om de zorg doelmatiger te maken; eHealth, bijv. Virtual Reality (VR), zou hierin veelbelovend kunnen zijn. Over het inzetten van VR binnen pijnrevalidatie-programma’s zoals deze door CIR en Adelante worden aangeboden is nog maar weinig bekend. SyncVR biedt SyncVR-FIT aan: een gebruiksvriendelijk platform waarmee patiënten zelfstandig kunnen oefenen en toch behandelaars-feedback krijgen. SyncVR-FIT zou bruikbaar kunnen zijn om de mogelijkheden tot bewegen binnen de revalidatiesetting te vergroten, patiënten te motiveren, hen feedback te geven over hun bewegingen en generalisatie te verbeteren. SyncVR, CIR en Adelante hebben de behoefte om samen met de Universiteit Maastricht uit te zoeken of SyncVR-FIT een waardevolle toevoeging is aan de bestaande pijnrevalidatie-programma's, in welke fase en voor welke patiënt. Om hier uitspraken over te kunnen doen, gaan binnen Adelante en CIR behandelaars de SyncVR-FIT applicatie gebruiken binnen hun programma’s, op verschillende momenten en bij patiënten met variërende kenmerken (bijv. ten aanzien van stemming, bewegingsangst, conditie). Ook gaan zij ervaring opdoen met het gebruiken van de aanvullende beweegdata die SyncVR-FIT genereert. Middels kwalitatief onderzoek (gestructureerde interviews onder zowel patiënten als behandelaars middels focusgroepen) zal de toegevoegde waarde van VR binnen pijnrevalidatie-programma’s beoordeeld worden, evenals identificatie van subgroepen van pijnpatiënten waarvoor SyncVR-FIT mogelijk zinvol is. De bevindingen worden gepresenteerd als een wetenschappelijke voordracht op een internationaal congres en een open access publicatie in internationaal tijdschrift. De bevindingen zullen vervolgens de basis vormen voor subsidie voor vervolgonderzoek om de effectiviteit van SyncVR-FIT te onderzoeken.
