Objectives: Promoting unstructured outside play is a promising vehicle to increase children’s physical activity (PA). This study investigates if factors of the social environment moderate the relationship between the perceived physical environment and outside play. Study design: 1875 parents from the KOALA Birth Cohort Study reported on their child’s outside play around age five years, and 1516 parents around age seven years. Linear mixed model analyses were performed to evaluate (moderating) relationships among factors of the social environment (parenting influences and social capital), the perceived physical environment, and outside play at age five and seven. Season was entered as a random factor in these analyses. Results: Accessibility of PA facilities, positive parental attitude towards PA and social capital were associated with more outside play, while parental concern and restriction of screen time were related with less outside play. We found two significant interactions; both involving parent perceived responsibility towards child PA participation. Conclusion: Although we found a limited number of interactions, this study demonstrated that the impact of the perceived physical environment may differ across levels of parent responsibility.
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Indecent exposure is often regarded as a nuisance offense and detailed studies into this topic are relatively rare. However, there is consensus that relatively high recidivism rates and risk of escalation to more severe offenses can be of serious concern among these perpetrators. This cohort study aims to increase our general knowledge on the basic characteristics of these offenses and includes all registered police cases of indecent exposure in the Netherlands between 2012 and 2020, including 6741 incidents, involving 4663 suspects and 3808 registered victims. This first study of a large cohort over a long period of time describes the basic characteristics of these incidents, the perpetrators and their victims, and visualizes the results to explore trends over time. Results show that a modal indecent exposure incident is perpetrated by a 25-year-old male, on foot, on a public road, on a Wednesday afternoon in July, masturbating and directing his genitals intentionally toward a 13-year-old girl. The age distribution of victims shows remarkable similarity to victims of sexual assault. Compared to the first year of the period studied, the number of annually reported incidents gradually declined to half in the last year of the study. Findings are discussed in light of the most prominent theories on exhibitionism. Issues and suggestions relevant to apprehension and treatment of perpetrators are identified and discussed.
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Background: Multimodal prehabilitation programs are effective at reducing complications after colorectal surgery in patients with a high risk of postoperative complications due to low aerobic capacity and/or malnutrition. However, high implementation fidelity is needed to achieve these effects in real-life practice. This study aimed to investigate the implementation fidelity of an evidence-based prehabilitation program in the real-life context of a Dutch regional hospital.Methods: In this observational cohort study with multiple case analyses, all patients who underwent colorectal surgery from January 2023 to June 2023 were enrolled. Patients meeting the criteria for low aerobic capacity or malnutrition were advised to participate in a prehabilitation program. According to recent scientific insights and the local care context, this program consisted of four exercise modalities and three nutrition modalities. Implementation fidelity was investigated by evaluating: (1) coverage (participation rate), (2) duration (number of days between the start of prehabilitation and surgery), (3) content (delivery of prescribed intervention modalities), and (4) frequency (attendance of sessions and compliance with prescribed parameters). An aggregated percentage of content and frequency was calculated to determine overall adherence.Results: Fifty-eight patients intended to follow the prehabilitation care pathway, of which 41 performed a preoperative risk assessment (coverage 80%). Ten patients (24%) were identified as high-risk and participated in the prehabilitation program (duration of 33-84 days). Adherence was high (84-100%) in five and moderate (72-73%) in two patients. Adherence was remarkably low (25%, 53%, 54%) in three patients who struggled to execute the prehabilitation program due to multiple physical and cognitive impairments.Conclusion: Implementation fidelity of an evidence-based multimodal prehabilitation program for high-risk patients preparing for colorectal surgery in real-life practice was moderate because adherence was high for most patients, but low for some patients. Patients with low adherence had multiple impairments, with consequences for their preparation for surgery. For healthcare professionals, it is recommended to pay attention to high-risk patients with multiple impairments and further personalize the prehabilitation program. More knowledge about identifying and treating high-risk patients is needed to provide evidence-based recommendations and to obtain higher effectiveness.
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Huntington’s disease (HD) and various spinocerebellar ataxias (SCA) are autosomal dominantly inherited neurodegenerative disorders caused by a CAG repeat expansion in the disease-related gene1. The impact of HD and SCA on families and individuals is enormous and far reaching, as patients typically display first symptoms during midlife. HD is characterized by unwanted choreatic movements, behavioral and psychiatric disturbances and dementia. SCAs are mainly characterized by ataxia but also other symptoms including cognitive deficits, similarly affecting quality of life and leading to disability. These problems worsen as the disease progresses and affected individuals are no longer able to work, drive, or care for themselves. It places an enormous burden on their family and caregivers, and patients will require intensive nursing home care when disease progresses, and lifespan is reduced. Although the clinical and pathological phenotypes are distinct for each CAG repeat expansion disorder, it is thought that similar molecular mechanisms underlie the effect of expanded CAG repeats in different genes. The predicted Age of Onset (AO) for both HD, SCA1 and SCA3 (and 5 other CAG-repeat diseases) is based on the polyQ expansion, but the CAG/polyQ determines the AO only for 50% (see figure below). A large variety on AO is observed, especially for the most common range between 40 and 50 repeats11,12. Large differences in onset, especially in the range 40-50 CAGs not only imply that current individual predictions for AO are imprecise (affecting important life decisions that patients need to make and also hampering assessment of potential onset-delaying intervention) but also do offer optimism that (patient-related) factors exist that can delay the onset of disease.To address both items, we need to generate a better model, based on patient-derived cells that generates parameters that not only mirror the CAG-repeat length dependency of these diseases, but that also better predicts inter-patient variations in disease susceptibility and effectiveness of interventions. Hereto, we will use a staggered project design as explained in 5.1, in which we first will determine which cellular and molecular determinants (referred to as landscapes) in isogenic iPSC models are associated with increased CAG repeat lengths using deep-learning algorithms (DLA) (WP1). Hereto, we will use a well characterized control cell line in which we modify the CAG repeat length in the endogenous ataxin-1, Ataxin-3 and Huntingtin gene from wildtype Q repeats to intermediate to adult onset and juvenile polyQ repeats. We will next expand the model with cells from the 3 (SCA1, SCA3, and HD) existing and new cohorts of early-onset, adult-onset and late-onset/intermediate repeat patients for which, besides accurate AO information, also clinical parameters (MRI scans, liquor markers etc) will be (made) available. This will be used for validation and to fine-tune the molecular landscapes (again using DLA) towards the best prediction of individual patient related clinical markers and AO (WP3). The same models and (most relevant) landscapes will also be used for evaluations of novel mutant protein lowering strategies as will emerge from WP4.This overall development process of landscape prediction is an iterative process that involves (a) data processing (WP5) (b) unsupervised data exploration and dimensionality reduction to find patterns in data and create “labels” for similarity and (c) development of data supervised Deep Learning (DL) models for landscape prediction based on the labels from previous step. Each iteration starts with data that is generated and deployed according to FAIR principles, and the developed deep learning system will be instrumental to connect these WPs. Insights in algorithm sensitivity from the predictive models will form the basis for discussion with field experts on the distinction and phenotypic consequences. While full development of accurate diagnostics might go beyond the timespan of the 5 year project, ideally our final landscapes can be used for new genetic counselling: when somebody is positive for the gene, can we use his/her cells, feed it into the generated cell-based model and better predict the AO and severity? While this will answer questions from clinicians and patient communities, it will also generate new ones, which is why we will study the ethical implications of such improved diagnostics in advance (WP6).
Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.
Ballet en moderne dans zijn een vorm van topsport. De druk op dansers is enorm. Lange en intensieve werkdagen, veel reizen en verschillende werkplekken maken het lastig om lichaam en geest goed te verzorgen. Hierdoor liggen blessures en mentale klachten op de loer. Nederlandse dansgezelschappen willen meer aandacht gaan besteden aan preventieve maatregelen om fysieke en mentale problemen bij hun dansers te voorkomen. Het ontbreekt hen echter aan kennis en kunde om dit innovatieve vraagstuk op te kunnen pakken. Het Nationale Ballet en het Scapino Ballet hebben het lectoraat Performing Arts Medicine van Codarts (Hogeschool voor de Kunsten Rotterdam) benaderd om antwoord te krijgen op de vraag hoe dansers op de hoogste podia, op gezonde wijze, hun beste performance kunnen laten zien. Gezamenlijk is deze praktijkvraag omgevormd naar drie onderzoeksdoelstellingen: 1. Opstellen van meetinstrumenten om de fysieke en mentale gezondheid van dansers te screenen en te monitoren; 2. Ontwerpen van een web-based systeem dat automatisch en real-time informatie uit de ontwikkelde meetinstrumenten kan inlezen, analyseren en interpreteren; 3. Ontwikkelen van een Fit to Perform protocol dat aanbevelingen geeft ten aanzien van het verbeteren van de fysieke en mentale gesteldheid van de danser. Het consortium bestaat uit de volgende organisaties: - Praktijkgerichte onderzoeksinstellingen: Codarts Rotterdam en Hogeschool van Amsterdam; - Universiteiten: ErasmusMC, Technische Universiteit Eindhoven en Vrije Universiteit Amsterdam; - Praktijkinstellingen: Het Nationale Ballet en het Scapino Ballet; - Overige instellingen: het Nederlands Paramedisch Instituut (NPi) en het Nationale Centrum Performing Arts (NCPA). Bij de samenstelling van het consortium is gekozen voor een goede mix tussen praktijkorganisaties, onderzoeksinstituten en onderwijsinstellingen. Daarnaast is er sprake van cross-sectorale samenwerking doordat kennis vanuit de podiumkunsten, sport, gezondheidszorg, onderwijs en technologie met elkaar verbonden wordt.
