Evidence map›Paper›PMID 40656941›Full record

ArticlePeerJ2025

Enhancing physical activity in older type 2 diabetic adults through remote patient monitoring: a pre-post study in Taiwan.

Cheng-Fu Lin, Hui-Min Chang, Chiann-Yi Hsu, Chao-Tung Yang, Shih-Yi Lin

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Cheng-Fu LinCenter for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan.
Hui-Min ChangCenter for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan.
Chiann-Yi HsuBiostatistics Task Force, Taichung Veterans General Hospital, Taichung, Taiwan.
Chao-Tung YangDepartment of Computer Science, Tunghai University, Taichung, Taiwan.
Shih-Yi LinCenter for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 diabetes (T2D) is a growing concern among older adults, increasing the risk of frailty, and functional decline. In Taiwan, the convergence of population aging and high diabetes prevalence calls for innovative care strategies. This study evaluated the effectiveness of incorporating wearable step-count devices into the diabetic pay-for-performance (P4P) program to enhance physical activity and explore associations with related health outcomes. Methods: This prospective, single-arm interventional study was conducted from February to September 2023 at a medical center in central Taiwan. T2D participants in P4P who were able to use smart phone were enrolled. At baseline, comprehensive geriatric assessment was performed to measure participants' physical, mental functions and nutritional status. Daily step data were collected Results: The study involved 66 participants, median age 72 years, with 24 males (36.4%) and 42 females (63.6%). Metabolic indicators showed fasting plasma glucose at 110.0 mg/dL (interquartile range, IQR: 97.0-137.5) and hemoglobin A1c at 6.1 (IQR: 5.7-7.2). Additionally, low-density lipoprotein was 86.5 mg/dL (IQR: 67.3-104.5), and triglycerides were 98.5 mg/dL (IQR: 76.8-139.8). Urine albumin-creatinine ratio was 15.3 (IQR: 7.6-84.9), and estimated glomerular filtration rate (eGFR) was 70.7 mL/min/1.73 m Conclusions: The study found that digital mobile health monitoring improved daily step counts over time in older diabetic patients, and baseline physical functions, and nutritional status were related to the changes. Whether incorporating this wearable technology into diabetes education program improves long metabolic controls needs further researches.

Indexed as

Diabetes Mellitus, Type 2ExerciseAgedAged, 80 and overFemaleGeriatric AssessmentHumansMaleProspective StudiesRemote Patient MonitoringTaiwanAgedDaily step countsDiabetesEhealthRemote patient monitoring

Identifiers

PMID40656941
PMCPMC12255238

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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.