Marie Kunesová

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BACKGROUND The World Health Organization (WHO) Regional Office for Europe has established the Childhood Obesity Surveillance Initiative (COSI) to monitor changes in overweight in primary-school children. The aims of this paper are to present the anthropometric results of COSI Round 2 (2009/2010) and to explore changes in body mass index (BMI) and overweight(More)
BACKGROUND Adolescence, due to transient pubertal insulin resistance (IR), is associated with a higher risk for disturbances of glucose metabolism. The aim of our study was 1) to investigate the prevalence of disturbances of glucose metabolism, 2) to define gender specific homeostasis model assessment of insulin resistance (HOMA-IR) thresholds associated(More)
BACKGROUND Both sleep duration and screen time have been suggested to affect children's diet, although in different directions and presumably through different pathways. The present cross-sectional study aimed to simultaneously investigate the associations between sleep duration, screen time and food consumption frequencies in children. METHODS The(More)
BACKGROUND Schools are important settings for the promotion of a healthy diet and sufficient physical activity and thus overweight prevention. OBJECTIVE To assess differences in school nutrition environment and body mass index (BMI) in primary schools between and within 12 European countries. METHODS Data from the World Health Organization (WHO)(More)
OBJECTIVE To assess to what extent eight behavioural health risks related to breakfast and food consumption and five behavioural health risks related to physical activity, screen time and sleep duration are present among schoolchildren, and to examine whether health-risk behaviours are associated with obesity. DESIGN Cross-sectional design as part of the(More)
Our goal is to create speaker models in audio domain and face models in video domain from a set of videos in an unsupervised manner. Such models can be used later for speaker identification in audio domain (answering the question " Who was speaking and when ") and/or for face recognition (" Who was seen and when ") for given videos that contain speaking(More)
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