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Parents' experiences of caring for a young child with type 1 diabetes
AIMS: To synthesise the qualitative evidence on parents' experiences of caring for a child aged ≤8 years with type 1 diabetes to identify: the challenges they encounter; their views about support received; ways in which support...
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Closed-loop basal insulin delivery over 36 hours in adolescents with type 1 diabetes
OBJECTIVE: We evaluated the safety and efficacy of closed-loop basal insulin delivery during sleep and after regular meals and unannounced periods of exercise. RESEARCH DESIGN AND METHODS: Twelve adolescents with type 1 diabetes...
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Impact of health warning labels on snack selection
Excessive consumption of energy-dense food increases the risk of obesity, which in turn increases the risk of non-communicable diseases, including heart disease, type 2 diabetes and most non-smoking-related cancers. Health...
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Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.
Smoking is a potentially causal behavioral risk factor for type 2 diabetes (T2D), but not all smokers develop T2D. It is unknown whether genetic factors partially explain this variation. We performed genome-environment-wide...
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Role of AYUSH Therapies in Modern Medicine
OBJECTIVE: To understand doctors' attitude to and awareness of AYUSH therapies for the treatment of diabetes mellitus (DM). METHODS: This qualitative study, using a usage-and-attitude survey, was conducted in secondary centers...
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Genetic aetiology of glycaemic traits
Glycaemic traits such as fasting and post-challenge glucose and insulin measures, as well as glycated haemoglobin (HbA1c), are used to diagnose and monitor diabetes. These traits are risk factors for cardiovascular disease even...
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Risk accuracy of type 2 diabetes in middle aged adults
OBJECTIVE: To identify the proportion of individuals with an accurate perception of their risk of type 2 diabetes (T2D) prior to, immediately after and eight weeks after receiving a personalised risk estimate. Additionally, we...
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Rapid model exploration for complex hierarchical data
We consider situations, which are common in medical statistics, where we have a number of sets of response data, from different individuals, say, potentially under different conditions. A parametric model is defined for each set...
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