Diouri Omar, Place Jerome, Traverso Magali, Georgescu Vera, Picot Marie-Christine, Renard Eric
Institute of Functional Genomics, CNRS UMR 5203, INSERM U1191, University of Montpellier, Montpellier, France.
Montpellier University Hospital, Department of Endocrinology, Diabetes, Nutrition, Montpellier, France.
J Diabetes Sci Technol. 2015 Sep 30;9(6):1170-4. doi: 10.1177/1932296815607861.
Meal lipids (LIP) and proteins (PRO) may influence the effect of insulin doses based on carbohydrate (CHO) counting in patients with type 1 diabetes (T1D). We developed a smartphone application for CHO, LIP, and PRO counting in daily food and assessed its usability in real-life conditions and potential usefulness.
Ten T1D patients used the android application for 1 week to collect their food intakes. Data included meal composition, premeal and 2-hour postmeal blood glucose, corrections for hypo- or hyperglycemia after meals, and time for entering meals in the application. Meal insulin doses were based on patients' CHO counting (application in blinded mode). Linear mixed models were used to assess the statistical differences.
In all, 187 meals were analyzed. Average computed CHO amount was 74.37 ± 31.78 grams; LIP amount: 20.26 ± 14.28 grams and PRO amount: 25.68 ± 16.68 grams. Average CHO, LIP, and PRO contents were significantly different between breakfast and lunch/dinner. The average time for meal entry in the application moved from 3-4 minutes to 2.5 minutes during the week. No significant impact of LIP and PRO was found on available blood glucose values.
Our study shows CHO, LIP, and PRO intakes can be easily captured by an application on smartphone for meal entry used by T1D patients. Although LIP and PRO meal contents did not influence glucose levels when insulin doses were based on CHO in this pilot study, this application could be used for further investigation of this topic, including in closed-loop conditions.
膳食中的脂质(LIP)和蛋白质(PRO)可能会影响1型糖尿病(T1D)患者基于碳水化合物(CHO)计数的胰岛素剂量效果。我们开发了一款用于记录日常食物中CHO、LIP和PRO含量的智能手机应用程序,并评估了其在实际生活中的可用性和潜在用途。
10名T1D患者使用该安卓应用程序1周来记录他们的食物摄入量。数据包括膳食组成、餐前和餐后2小时血糖、餐后低血糖或高血糖的校正情况以及在应用程序中输入膳食的时间。膳食胰岛素剂量基于患者的CHO计数(应用程序处于盲法模式)。使用线性混合模型评估统计差异。
总共分析了187份膳食。计算得出的CHO平均含量为74.37±31.78克;LIP含量为20.26±14.28克,PRO含量为25.68±16.68克。早餐与午餐/晚餐之间的CHO、LIP和PRO平均含量存在显著差异。在这一周内,在应用程序中输入膳食的平均时间从3 - 4分钟缩短至2.5分钟。未发现LIP和PRO对可用血糖值有显著影响。
我们的研究表明,T1D患者使用智能手机应用程序记录膳食时,可以轻松获取CHO、LIP和PRO的摄入量。尽管在这项初步研究中当胰岛素剂量基于CHO时LIP和PRO的膳食含量未影响血糖水平,但该应用程序可用于对这一主题的进一步研究,包括在闭环条件下的研究。