一项观察性、多中心、横断面和国际1型糖尿病儿童研究:计算技能和血糖控制

IF 2.6 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Ioanna Kosteria, Przemyslawa Jarosz-Chobot, Carine de Beaufort, Timothy G Barrett, Marianne Becker, Fergus Cameron, Luis A Castaño, Cintia Castro-Correia, Mark Palmert, Joanna Polanska, Stefan Särnblad, Timothy C Skinner, Jannet Svensson
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引用次数: 0

摘要

本研究探讨了1型糖尿病儿童计算能力与血糖结局之间的可能关联。方法:本研究采用横断面设计,从Hvidoere研究组的7个中心收集数据。集中测量HbA1c。计算能力评估使用特定的5项糖尿病计算能力测试(DNT-5)和国际通用无字数学测试(WMT)。采用调整后的r平方指数进行模型选择,构建HbA1c预测多元广义线性模型。计算训练和测试数据集中观察到的HbA1c水平与预测的HbA1c水平之间的Pearson相关系数。结果:306名12-18岁青少年(平均年龄14.96±1.68)岁,糖尿病病程6.57(±3.75)例。计算能力,由WMT评估,而不是DNT 5,在调整社会人口统计学和临床因素后预测HbA1c水平。两个数据集的HbA1c观测值与预测值之间的相关性一致,训练和测试数据集的相关性分别为0.34 (N=155)和0.37 (N=61) (p=0.412)。经临床和社会经济因素调整后的基于wmt的HbA1c预测模型的效应值明显更高(p)。结论:通过国际通用数学测试评估的计算能力是1型糖尿病儿童和青少年HbA1c的良好预测指标。基本和短的WMT是一个潜在的有效的工具,个性化的临床儿科糖尿病实践。治疗计划应考虑调整治疗,以弥补较低的计算能力和/或培训,以提高患者的数字熟练程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numeracy skills and glycemic control in an observational, multi-centre, cross-sectional, and international study of children with Type 1 Diabetes.

Introduction: This study examined the possible association between numeracy skills and glycemic outcomes in children with type 1 diabetes.

Methods: The study used a cross-sectional design and collected data from 7 centres of the Hvidoere Study Group. HbA1c was measured centrally. Numeracy was assessed using the specific 5-item Diabetes Numeracy Test (DNT-5) and the international, general Wordless Mathematical Test (WMT). The HbA1c predictive multivariate generalised linear model was constructed using the adjusted R-squared index for model selection. Pearson's correlation coefficient was calculated between observed and predicted HbA1c levels in the training and testing datasets.

Results: 306 adolescents aged 12-18 (mean age 14.96 ± 1.68) years and diabetes duration of 6.57 (± 3.75) participated in this study. Numeracy skills, as assessed by the WMT but not DNT 5, predicted the HbA1c levels after adjustment for sociodemographic and clinical factors. The correlation between observed and predicted HbA1c levels was consistent in both datasets and was 0.34 (N=155) and 0.37 (N=61) for the training and test datasets, respectively (p=0.412). The effect size for the WMT-based predictive model of HbA1c adjusted for clinical and socioeconomic factors was significantly higher (p<0.05) than the single-parameter-based model.

Conclusion: Numeracy, as assessed by an international general math test, is a good predictor of HbA1c in children and adolescents with type 1 diabetes. The basic and short WMT is a potentially effective tool in personalised clinical pediatric diabetes practice. Therapy planning should consider adjusting therapy to compensate for lower numeracy skills and/or training to improve the patient's numerical proficiency.

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来源期刊
Hormone Research in Paediatrics
Hormone Research in Paediatrics ENDOCRINOLOGY & METABOLISM-PEDIATRICS
CiteScore
4.90
自引率
6.20%
发文量
88
审稿时长
4-8 weeks
期刊介绍: The mission of ''Hormone Research in Paediatrics'' is to improve the care of children with endocrine disorders by promoting basic and clinical knowledge. The journal facilitates the dissemination of information through original papers, mini reviews, clinical guidelines and papers on novel insights from clinical practice. Periodic editorials from outstanding paediatric endocrinologists address the main published novelties by critically reviewing the major strengths and weaknesses of the studies.
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