ISPAD Clinical Practice Consensus Guidelines 2009

Department of Pediatrics, Uddevalla Hospital, Sweden.
Pediatric Diabetes (Impact Factor: 2.57). 01/2007; 7(6):341-2. DOI: 10.1111/j.1399-5448.2006.00218.x
Source: PubMed
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    • "complications such as cerebrovascular and cardiovascular disease, retinopathy, neuropathy, and nephropathy [3]. Levels of HbA1c are found to predict early and late diabetes complications [4]. "
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    ABSTRACT: Background. Disturbed eating behavior and psychosocial variables have been found to influence metabolic control, but little is known about how these variables interact or how they influence metabolic control, separately and combined. Objective. To explore associations between metabolic control (measured by HbA1c) and eating disorder psychopathology, coping strategies, illness perceptions, and insulin beliefs in adolescents with type 1 diabetes. Methods. A total of 105 patients (41.9% males) with type 1 diabetes (12–20 years) were interviewed with the Child Eating Disorder Examination. In addition, self-report psychosocial questionnaires were completed. Clinical data, including HbA1c, was obtained from the Norwegian Childhood Diabetes Registry. Results. Significant gender differences were demonstrated. Among females, HbA1c correlated significantly with eating restriction (.29, p < .05), the illness perception dimensions consequences, personal control, coherence, and concern (ranging from .33 to .48), and the coping strategy ventilating negative feelings (−.26, p < .05). Illness perception personal control contributed significantly to HbA1c in a regression model, explaining 23% of the variance among females (í µí»½ .48, p < .001). None of the variables were significantly associated with HbA1c among males. Conclusions. Illness perceptions appear to be important contributors to metabolic control in females, but not males, with type 1 diabetes.
    Journal of Diabetes Research 06/2015; 501. · 2.16 Impact Factor
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    • "In order to direct resources, it is of interest if social factors at the time for diagnosis can separate more vulnerable children who might be in risk to develop poor metabolic control. To guarantee quality in health care, all elements of the care need to be followed and evaluated with focus on outcomes [1] [18]. The aim of our study was to assess whether temporal changes in the initial management for children diagnosed with type 1 diabetes over a ten year period affected metabolic control two years after diagnosis. "
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    ABSTRACT: The aim was to assess whether temporal changes in the initial management for children diagnosed with type 1 diabetes over a ten year period affected metabolic control two years after diagnosis. A further aim was to investigate if social factors, registered at diagnosis, had an impact on metabolic control two years after diagnosis. During the years 1997-2006, 247 children and adolescents were diagnosed with type 1 diabetes at a University Hospital in Sweden. The analysed data included HbA1c, pH at diagnosis, initial intravenous insulin infusion and length of hospital stay at diag-nosis, subcutaneous insulin type, number of diabetes check-up visits, emergency visits, re-admissions and social factors. Length of hospital stay decreased significantly over the ten year period. Neither hospital stay nor differences in insulin treatment was significantly correlated with children's metabolic control over time. Length of hospital stay was not re-lated with families' social stress situation. However, girls in families with more family stress at the time of diagnosis had higher HbA1c during follow-up than girls with less family stress or boys. Factors of importance for the child's long-term metabolic control need to be further investigated so the initial management can be tailored to each individual family's needs. This would imply an effective utilization of both families' and health care resources.
    International Journal of Clinical Medicine 01/2010; 01(02). DOI:10.4236/ijcm.2010.12008
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    ABSTRACT: No abstract is available for this article.
    Pediatric Diabetes 11/2007; 8 Suppl 6(s6):3-5. DOI:10.1111/j.1399-5448.2007.00297.x · 2.57 Impact Factor
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