University of Florida.
J Pediatr Psychol. 2019 Jan 1;44(1):21-31. doi: 10.1093/jpepsy/jsy064.
Type 1 diabetes (T1D) poses unique challenges to adherence-related behavior because of complex treatment regimens that vary by use of specific technologies. This study used objective data to determine (1) prevalence rates of adherence behaviors in adolescents with T1D, and (2) relationships between adherence and glycemic control.
Data were downloaded for the past 30 consecutive days from glucose meters and multiple insulin pump models for 80 youth (11-17 years old; n = 40 on multiple daily injections (MDIs) and n = 40 on continuous subcutaneous insulin infusion [CSII]). Frequency of self-monitoring of blood glucose (SMBG; MDI and CSII users); carbohydrate entry (CSII users); daily insulin bolus delivery (CSII users); episodes of high, very high, and dangerously high hyperglycemia; and correction bolusing for hyperglycemia (CSII users) were calculated.
Participants completed SMBG ≥4 times/day on 46.13% of days (MDI users), 48.74% of days (CSII users nonmanual entries only), and 59.07% of days (CSII users; manual plus nonmanual entries). CSII users entered carbohydrates ≥3 times/day on 61.47% of days and bloused insulin ≥3 times/ day on 87.34% of days. Hyperglycemic readings were followed by a correction bolus in <70% of cases. Greater SMBG, carbohydrate entry, bolus insulin delivery, and correction bolusing for high and very high hyperglycemia predicted lower glycated hemoglobin (sample M = 8.74%, SD = 1.75%).
Objective data from diabetes technology are helpful to differentiate adherence to specific domains of treatment but are complex in nature. Findings support a need for further research to elucidate predictive factors of suboptimal adherence in adolescents with T1D.
1 型糖尿病(T1D)由于其治疗方案复杂,且具体技术的应用存在差异,因此对与依从性相关的行为提出了独特的挑战。本研究使用客观数据来确定:(1)青少年 T1D 患者依从行为的流行率;以及(2)依从性与血糖控制之间的关系。
从过去 30 天的血糖仪和多种胰岛素泵模型中下载数据,共 80 名青少年(11-17 岁;40 名接受多次每日注射(MDI),40 名接受持续皮下胰岛素输注[CSII])。计算自我监测血糖(SMBG;MDI 和 CSII 用户)、碳水化合物输入(CSII 用户)、每日胰岛素推注(CSII 用户)、高、非常高和危险高血糖发作的次数、以及高血糖的矫正推注(CSII 用户)的频率。
参与者在 MDI 用户中,有 46.13%的天数完成了≥4 次/天的 SMBG,在 CSII 用户(仅手动输入)中,有 48.74%的天数完成了≥4 次/天的 SMBG,在 CSII 用户(手动加非手动输入)中,有 59.07%的天数完成了≥4 次/天的 SMBG。CSII 用户每天至少输入 3 次碳水化合物,每天至少输入 3 次胰岛素推注。高血糖读数后,只有不到 70%的情况下会进行矫正推注。更多的 SMBG、碳水化合物输入、推注胰岛素和对高血糖和非常高血糖的矫正推注预测糖化血红蛋白较低(样本 M=8.74%,SD=1.75%)。
来自糖尿病技术的客观数据有助于区分治疗特定领域的依从性,但本质上较为复杂。研究结果支持进一步研究的必要性,以阐明青少年 T1D 患者依从性不佳的预测因素。