2012
DOI: 10.1007/s10865-012-9426-0
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Diabetes management and glycemic control in youth with type 1 diabetes: test of a predictive model

Abstract: The objective of this study was to test a comprehensive model of biologic (pubertal status), family (communication and conflict), and psychological influences (behavioral autonomy) on diabetes management and glycemic control in a sample of youth (N = 226) with type 1 diabetes recruited during late childhood/early adolescence (ages 9–11 years). The study design was a prospective, multisite, multi-method study involving prediction of diabetes management and glycemic control 1 year post-baseline. The primary outc… Show more

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Cited by 38 publications
(44 citation statements)
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References 52 publications
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“…This relationship was true for child‐, mother‐ and father reports. These findings are consistent with previous research and thus add to the accumulated knowledge on the relationship between family conflict and the child's metabolic control . Further analysis revealed a correlation between the direct management subscale and glycemic control for both child‐ and caregiver reports that was marginally stronger than the correlation between the total scale and glycemic control, whereas the subscale indirect management only showed a weak correlation at the 0.05 level for the father report.…”
Section: Discussionsupporting
confidence: 90%
“…This relationship was true for child‐, mother‐ and father reports. These findings are consistent with previous research and thus add to the accumulated knowledge on the relationship between family conflict and the child's metabolic control . Further analysis revealed a correlation between the direct management subscale and glycemic control for both child‐ and caregiver reports that was marginally stronger than the correlation between the total scale and glycemic control, whereas the subscale indirect management only showed a weak correlation at the 0.05 level for the father report.…”
Section: Discussionsupporting
confidence: 90%
“…Data were collected as part of an ongoing, three-year longitudinal study. Reports of longitudinal data from this study have been previously described in Drotar et al (2013), Rausch et al (2012), and Rohan et al (2013). This is the first report from this study that has focused on identification of trajectories of glycemic control across time and the prediction of glycemic control group membership over three years.…”
Section: Methodsmentioning
confidence: 97%
“…Relatively little is known about the specific distribution of trajectories of glycemic control among early adolescents with type 1 diabetes and the factors that predict them. Most studies have focused on description and prediction of average levels of glycemic control, often over limited periods (e.g., one year) (Butler et al, 2008; Drotar et al, 2013; Helgeson & Palladino, 2012; Ingerski, Anderson, Dolan, & Hood, 2010). …”
mentioning
confidence: 99%
“…A careful multidisciplinary assessment should be undertaken for every child with chronically poor metabolic control (e.g. A1C >10%) to identify potential causative and associated factors, such as depression (54), eating disorders (55), lower socioeconomic status, lower family support and higher family conflict (56,57), and to identify and address barriers to improved glycemic control. Use of a standardized measure of risk factors has been shown to identify those at high risk for poor control, emergency room visits and DKA (58).…”
Section: Chronic Poor Metabolic Controlmentioning
confidence: 99%