Evidence map›Paper›PMID 34081137›Full record

Trial reportJAMA network open2021

Effect of a Smartphone App on Weight Change and Metabolic Outcomes in Asian Adults With Type 2 Diabetes: A Randomized Clinical Trial.

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 and 1 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 18 pooled it
14.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 18 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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  10. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Su Lin LimDepartment of Dietetics, National University Hospital, Singapore.
Kai Wen OngDepartment of Dietetics, National University Hospital, Singapore.
Jolyn JohalFaculty of Health Sciences, University of Adelaide, Australia.
Chad Yixian HanCaring Future Institute, College of Nursing and Health Sciences, Flinders University, Australia.
Qai Ven YapBiostatistics Unit, Yong Loo Lin School of Medicine, National University Health System, Singapore.
Yiong Huak ChanBiostatistics Unit, Yong Loo Lin School of Medicine, National University Health System, Singapore.
Yu Chung ChooiSingapore Institute for Clinical Services, Agency for Science, Technology and Research, Singapore.
Zhi Peng ZhangNational University Polyclinics, Singapore.
Cheryl Christine ChandraNational University Polyclinics, Singapore.
Anandan Gerard ThiagarajahNational University Polyclinics, Singapore.
Chin Meng KhooDivision of Endocrinology, National University Hospital, Singapore.
National University Hospital · SGNational University Health System · SGAgency for Science, Technology and Research · SGFlinders University · AUUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: 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. Objective: To compare the effects of a culturally contextualized smartphone-based intervention with usual care on weight and metabolic outcomes. Design, Setting, and Participants: 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. Interventions: 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. Main Outcomes and Measures: 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. Results: 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. Conclusions and Relevance: 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. Trial Registration: anzctr.org.au Identifier: ACTRN12617001112358.

Indexed as

Healthy LifestyleMobile ApplicationsSmartphoneWeight LossAdultAgedAsian PeopleBehavior TherapyDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPatient Education as TopicSingaporeYoung Adult

Identifiers

PMID34081137
PMCPMC8176331
OpenAlexW3165634032

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.