Barouti Afroditi Alexandra, Bonn Stephanie Erika, Björklund Anneli
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Center for Diabetes, Academic Specialist Center, Stockholm, Sweden.
Front Nutr. 2024 Nov 27;11:1395252. doi: 10.3389/fnut.2024.1395252. eCollection 2024.
Nutrition Data is a web-based program for nutrition analysis and registration of diet and exercise. It may aid dietary assessment and carbohydrate counting in people with type 1 diabetes (T1D) but requires validation.
To assess relative validity of Nutrition Data in measuring energy, carbohydrate and other macronutrient intake and evaluate the program's user acceptability, in adults with T1D.
In this validation study, we analyzed data from 42 participants (median age 46.5 years, 45% women) from the DANCE study, a randomized controlled trial comprising of individuals with T1D in Sweden. Mean intakes of energy, carbohydrates, fat, protein, alcohol, fiber, sugars and saturated fat from 2 days registered in Nutrition Data were compared against the respective intakes acquired by unannounced 24-h-recalls of the same days. Paired sample -tests and Wilcoxon matched-pairs signed rank tests were used to compare mean intakes between the two methods, and Spearman's rank correlation and Bland Altman plots were used to assess agreement between the methods. Usability and user acceptability of Nutrition Data were assessed with a questionnaire.
There were no significant differences in mean dietary intakes between the two methods. Spearman's correlation coefficients ranged from = 0.79 for energy intake to = 0.94 for carbohydrate intake (% total energy intake) ( < 0.001 for all outcomes). The Bland-Altman plots showed no clear patterns of bias, though limits of agreement were relatively wide. Most participants found Nutrition Data easy to use (70%), helpful for carbohydrate counting (88%) and would recommend it to others (73%).
The web-based program Nutrition Data showed good validity in assessing intake of energy and macronutrients compared to 24-h recalls and high user acceptability in Swedish men and women with T1D, and could, therefore, be used to facilitate diet registration and carbohydrate counting.
营养数据是一个基于网络的程序,用于营养分析以及饮食和运动记录。它可能有助于1型糖尿病(T1D)患者的饮食评估和碳水化合物计数,但需要进行验证。
评估营养数据在测量1型糖尿病成年患者能量、碳水化合物和其他宏量营养素摄入量方面的相对有效性,并评估该程序的用户可接受性。
在这项验证研究中,我们分析了来自瑞典一项针对T1D患者的随机对照试验——DANCE研究中42名参与者(年龄中位数46.5岁,45%为女性)的数据。将营养数据中记录的2天内能量、碳水化合物、脂肪、蛋白质、酒精、纤维、糖和饱和脂肪的平均摄入量,与同一天未事先通知的24小时回忆法所获得的各自摄入量进行比较。采用配对样本t检验和Wilcoxon配对符号秩检验来比较两种方法的平均摄入量,并使用Spearman秩相关和Bland Altman图来评估两种方法之间的一致性。通过问卷调查评估营养数据的可用性和用户可接受性。
两种方法的平均饮食摄入量没有显著差异。Spearman相关系数范围从能量摄入量的r = 0.79到碳水化合物摄入量(占总能量摄入量的百分比)的r = 0.94(所有结果的P < 0.001)。Bland - Altman图没有显示出明显的偏差模式,尽管一致性界限相对较宽。大多数参与者认为营养数据易于使用(70%)、有助于碳水化合物计数(88%),并会向他人推荐(73%)。
与24小时回忆法相比,基于网络的程序营养数据在评估能量和宏量营养素摄入量方面显示出良好的有效性,并且在瑞典患有T1D的男性和女性中具有较高的用户可接受性,因此可用于促进饮食记录和碳水化合物计数。