In deze bijdrage Migratie en politiek aan het congres over “Globalisierung und Flucht” in Eupen op 25 september 2004, worden eerst de begrippen met betrekking tot globalisering gedefinieerd , beschreven en geanalyseerd, vervolgens wordt globalisering gerelateerd aan migratie en de verschillende benamingen van migranten en integratie die daar in de loop van de tijd op zijn geplakt. Daarna komt uitvoerig het Nederlandse beleid aan de orde, dat trendsettend lijkt te zijn voor Europa. Tot slot enige opmerkingen over Europa en een opinie van David Pinto, hoogleraar/directeur van het intercultureel instituut (ICI) te Amsterdam, die wellicht aanleiding tot discussie kan zijn.
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Inaugurele rede uitgesproken bij de aanvaarding van het ambt van lector Loes Witteveen aan Hogeschool Van Hall Larenstein, 14 maart 2024. Het lectoraat Communicatie, Participatie en Sociaal-Ecologisch Leren (CoPSEL) werkt aan maatschappelijke vraagstukken rondom natuurlijke en sociale duurzaamheid, werkt sector- en discipline overstijgend met een centrale rol voor communicatie, participatie en leren.
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INTRODUCTION: Physical Activity (PA) is essential for enhancing the physical function of pre-frail and frail older adults. However, among this group, PA-levels vary significantly. Identifying the factors contributing to these differences could support tailored PA interventions. This study aims to examine factors associated with physical activity levels among pre-frail and frail older adults in rural China.METHODS: This is a cross-sectional study. A total of 284 (pre)frail older adults (aged ≥60 years) were included from ten rural healthcare centers in Northeast China. Participants were categorized into low-moderate and high physical activity groups assessed using the Short Form International Physical Activity Questionnaire. Four-dimensional data were collected, including demographics, health behaviors, objective physical performance measures, and self-reported perceived health profiles. Extreme Gradient Boosting (XGBoost), a machine learning algorithm, was employed for binary classification (low-moderate vs. high physical activity). Model performance was assessed using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, precision, and F1-score. To enhance interpretability, SHapley Additive exPlanations (SHAP) were utilized to identify key predictive variables.RESULTS: Mean age of participants was 70 years (59% female, 86% farmers). The low-moderate group averaged 1,187 MET/week, while the high physical activity group reached 8,162 MET/week. Physical performance tests showed significantly better scores in the high PA group. The XGBoost model achieved 82.4% accuracy (AUC: 0.769, specificity: 90%, sensitivity: 63%). SHAP analysis revealed that self-reported social support, general health, ambulation, and physical performance measures were the most important factors.CONCLUSION: The high physical activity group demonstrated better physical function than the low-moderate physical activity group; though, both groups showed poorer physical function compared to the general older population. Self-reported health perceptions and social support significantly correlated with physical activity levels. Addressing these factors through targeted interventions-including community-based social support programs and structured mobility-enhancing exercises-may contribute to improved health outcomes and enhanced quality of life in this population.
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