Department of Medicine and Aging, School of Medicine and Health Sciences, "G. d'Annunzio" University of Chieti-Pescara, Italy.
Laboratory of Biostatistics, Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Italy.
J Telemed Telecare. 2023 Feb;29(2):91-102. doi: 10.1177/1357633X20966933. Epub 2020 Oct 21.
Obesity and type 2 diabetes (T2D) are two closely related pandemic conditions. Novel technologies represent promising tools for their management, the use of which has been greatly encouraged during the COVID-19 pandemic. The aim of the present study is to compare a web-based nutritional intervention versus a traditional one, before and during the Italian 'lockdown' period due to the COVID-19 outbreak, in overweight and obese subjects affected by T2D or impaired glucose regulation (IGR).
For the study, 36 subjects were randomly allocated into two arms: a arm, providing face-to-face individual and group-based intervention; and a arm, deploying the in-presence traditional approach with intervention provided through web technologies. The outcomes were the data resulting from the comparison between the subjects' anthropometric and clinical parameters as well as PREDIMED scores at baseline with those at 3 months (T3), 6 months (T6) and at lockdown.
In the arm we detected a progressive reduction in weight and body mass index (BMI) from baseline to T6 and a minimal increase of both parameters during the lockdown. Improvement of these parameters compared with baseline was observed in controls during the lockdown. The PREDIMED score improved at T6 compared with baseline in both arms. Significant variations were observed considering weight ( < 0.001), BMI ( = 0.001) and PREDIMED scores ( = 0.023) over time.
The study showed the effectiveness and feasibility of a short-term nutritional web-based intervention in patients affected by T2D or IGR before and during the COVID 19 pandemic. NCT04386200, ClinicalTrials.gov.
肥胖和 2 型糖尿病(T2D)是两种密切相关的流行疾病。新技术代表了管理这些疾病的有前途的工具,在 COVID-19 大流行期间,这些技术的使用得到了大力鼓励。本研究的目的是比较基于网络的营养干预与传统干预在意大利因 COVID-19 爆发而实施封锁期间超重和肥胖的 T2D 或糖调节受损(IGR)患者中的应用效果。
本研究共纳入 36 名患者,随机分为两组:组,提供面对面的个体和小组干预;组,使用传统的现场方法,并通过网络技术提供干预。主要结果是比较两组患者的人体测量和临床参数以及 PREDIMED 评分在基线时、3 个月(T3)、6 个月(T6)和封锁期间的差异。
在组中,我们发现体重和体重指数(BMI)从基线到 T6 逐渐下降,而在封锁期间这两个参数略有增加。与基线相比,在封锁期间对照组的这些参数有所改善。与基线相比,两组在 T6 时的 PREDIMED 评分均有所改善。在考虑体重( < 0.001)、BMI( = 0.001)和 PREDIMED 评分( = 0.023)时,随时间的变化具有统计学意义。
该研究表明,在 COVID-19 大流行之前和期间,短期基于网络的营养干预在 T2D 或 IGR 患者中是有效且可行的。NCT04386200,ClinicalTrials.gov。