Effect of a Smartphone App on Weight Change and Metabolic Outcomes in Asian Adults With Type 2 Diabetes

医学 血糖性 随机对照试验 2型糖尿病 体质指数 糖尿病 心理干预 物理疗法 减肥 重量变化 体重管理 老年学 肥胖 超重 内科学 护理部 内分泌学
作者
Su Lin Lim,Kai Wen Ong,Jolyn Johal,Chad Yixian Han,Qai Ven Yap,Yiong Huak Chan,Yu Chung Chooi,Zhi Peng Zhang,Cheryl Christine Chandra,Anandan Gerard Thiagarajah,Chin Meng Khoo
出处
期刊:JAMA network open [American Medical Association]
卷期号:4 (6): e2112417-e2112417 被引量:37
标识
DOI:10.1001/jamanetworkopen.2021.12417
摘要

Lifestyle interventions are effective in diabetes management, with smartphone apps that manage health data and dietary and exercise schedules gaining popularity. However, limited evidence from randomized clinical trials exists regarding the effectiveness of smartphone-based interventions among Asian adults with type 2 diabetes.To compare the effects of a culturally contextualized smartphone-based intervention with usual care on weight and metabolic outcomes.This randomized clinical trial conducted at multiple primary care centers in Singapore included 305 adults with type 2 diabetes and body mass index (BMI) of 23 or greater who had literacy in English and smartphone access. Participants were recruited between October 3, 2017, and September 9, 2019, and were randomly assigned (1:1; stratified by gender, age, and BMI) to intervention (99 participants) or control (105 participants) groups. Participants' data were analyzed using intention-to-treat analysis.Both control and intervention participants received diet and physical activity advice from a dietitian at a baseline face-to-face visit. Intervention participants additionally used a smartphone app to track weight, diet, physical activity, and blood glucose and then communicated with dietitians for 6 months.Primary outcome was change in body weight, while secondary outcomes were changes in hemoglobin A1c (HbA1c), fasting blood glucose, blood pressure, lipids, and diet. Post hoc analyses included glycemic changes in the subgroup with HbA1c levels of 8% or greater and diabetes medication changes.Among the 204 randomized participants (mean [SD] age, 51.2 [9.7] years; 132 [64.7%] men), baseline mean (SD) BMI was 30.6 (4.3). Compared with the control group, intervention participants achieved significantly greater reductions in weight (mean [SD] change, -3.6 [4.7] kg vs -1.2 [3.6] kg) and HbA1c levels (mean [SD] change, -0.7% [1.2] vs -0.3% [1.0]), with a greater proportion having a reduction in diabetes medications (17 participants [23.3%] vs 4 participants [5.4%]) at 6 months. The intervention led to a greater HbA1c reduction among participants with HbA1c levels of 8% or higher (mean [SD] change, -1.8% [1.4] vs -1.0% [1.4]; P = .001). Intergroup differences favoring the intervention were also noted for fasting blood glucose, diastolic blood pressure, and dietary changes.In this study, a smartphone-based lifestyle intervention was more effective in achieving weight and glycemic reductions among Asian adults with type 2 diabetes compared with usual care, supporting the use of apps in lifestyle intervention delivery.anzctr.org.au Identifier: ACTRN12617001112358.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Rita发布了新的文献求助10
1秒前
2秒前
科研通AI6.3应助少年采纳,获得10
3秒前
4645发布了新的文献求助10
5秒前
lejunia发布了新的文献求助10
6秒前
迅速采梦发布了新的文献求助10
7秒前
无一完成签到,获得积分10
9秒前
11秒前
sx完成签到,获得积分10
11秒前
郭欣茹发布了新的文献求助10
11秒前
14秒前
lijiuyi发布了新的文献求助10
15秒前
17秒前
gmjinfeng完成签到,获得积分0
17秒前
17秒前
迷人的大地完成签到,获得积分10
18秒前
金振龙完成签到,获得积分10
19秒前
19秒前
小蘑菇应助邹邹采纳,获得10
19秒前
20秒前
小幸运发布了新的文献求助20
21秒前
bkagyin应助小花采纳,获得10
21秒前
21秒前
21秒前
23秒前
高医生发布了新的文献求助10
25秒前
26秒前
没头发完成签到,获得积分10
29秒前
Pwg完成签到,获得积分10
29秒前
30秒前
充电宝应助栗子栗栗子采纳,获得10
30秒前
SciGPT应助Lily采纳,获得10
30秒前
小花发布了新的文献求助10
30秒前
大模型应助lejunia采纳,获得10
31秒前
万能图书馆应助lejunia采纳,获得10
31秒前
李爱国应助jjbl采纳,获得10
32秒前
33秒前
34秒前
34秒前
小葵完成签到,获得积分10
35秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6443547
求助须知:如何正确求助?哪些是违规求助? 8257395
关于积分的说明 17586450
捐赠科研通 5502154
什么是DOI,文献DOI怎么找? 2900906
邀请新用户注册赠送积分活动 1877940
关于科研通互助平台的介绍 1717534