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基于定制移动技术的混合系统对小儿肥胖的健康生活方式管理:PediaFit 试点项目。

Healthy Lifestyle Management of Pediatric Obesity with a Hybrid System of Customized Mobile Technology: The PediaFit Pilot Project.

机构信息

Pediatrics Section, Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", University of Salerno, 84081 Baronissi, Italy.

Pediatrics/Clinical Pediatrics, "San Giovanni di Dio e Ruggi d'Aragona" University Hospital, 84131 Salerno, Italy.

出版信息

Nutrients. 2021 Feb 16;13(2):631. doi: 10.3390/nu13020631.

Abstract

Pediatric obesity management strategies suffer from a high rate of dropout and persistence of weight excess, despite the use of new tools, such as automated mobile technology (MT). We aimed to compare the efficacy of two 6-month personalized MT protocols in terms of better engagement, adherence to follow-up visits and improved anthropometric and lifestyle parameters. MT contacts consisted of three personalized/not automated What's App self-monitoring or challenge messages per week. Messages, sent by a dedicated coach were inserted between three-monthly in-presence regular visits with (PediaFit 1.2) or without (PediaFit 1.1) monthly free-of charge short recall visits carried out by a specialized pediatric team. The sample included 103 children (mean age 10 years, range 6-14) recruited in the Pediatric Obesity Clinic between January 2017 and February 2019, randomized into Intervention group (IG) ( = 24 PediaFit 1.1; = 30 PediaFit 1.2) and Control group (CG) (total = 49). Controls received standard treatment only (indications for healthy nutrition and physical activity, and three months in presence regular visits). Overall, both IGs achieved significantly better results than the CGs for all considered parameters. Comparison of the two IGs at the sixth month in particular showed an IG 1.2 statistically significantly lower drop-out rate (10% vs. 62%, = 0.00009), along with significantly improved BMI ( = 0.003), Screen Time ( = 0.04) and fruit and vegetables consumption ( = 0.02). The study suggests that the hybrid association of messaging through personalized/not automated MT plus monthly free-of charge recall visits may improve the prefixed outcomes of MT weight loss intervention programs.

摘要

儿科肥胖管理策略尽管采用了新工具,如自动化移动技术(MT),但其辍学率和体重超标仍居高不下。我们旨在比较两种为期 6 个月的个性化 MT 方案在更好的参与度、随访依从性以及改善人体测量学和生活方式参数方面的疗效。MT 联系包括每周三次个性化/非自动化的 Whats App 自我监测或挑战信息。由专门教练发送的信息插在每三个月一次的现场定期就诊之间,其中包括(PediaFit 1.2)或不包括(PediaFit 1.1)每月由专门的儿科团队进行的免费简短回顾就诊。该样本包括 2017 年 1 月至 2019 年 2 月期间在儿科肥胖诊所招募的 103 名儿童(平均年龄 10 岁,范围 6-14 岁),随机分为干预组(IG)(=24 PediaFit 1.1;=30 PediaFit 1.2)和对照组(CG)(共 49 名)。对照组仅接受标准治疗(健康营养和体育活动的适应症,以及每三个月的现场定期就诊)。总体而言,两个 IG 在所有考虑的参数上均明显优于 CG。特别是在第六个月时,对两个 IG 的比较显示,IG 1.2 的辍学率统计学上显著降低(10%对 62%,=0.00009),同时 BMI(=0.003)、屏幕时间(=0.04)和水果和蔬菜摄入量(=0.02)显著改善。该研究表明,个性化/非自动化 MT 与每月免费回顾就诊的混合联合可能会改善 MT 减肥干预计划的预设结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44e0/7919673/b5d4a071a73d/nutrients-13-00631-g0A1.jpg

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