Evidence map›Paper›PMID 31902908›Full record

ArticleInternal medicine (Tokyo, Japan)2020

Effectiveness of Lifestyle Intervention Using the Internet of Things System for Individuals with Early Type 2 Diabetes Mellitus.

Sawako Kato, Masahiko Ando, Hiroyuki Honda, Yasuko Yoshida, Takahiro Imaizumi, Naoki Yamamoto, Shoichi Maruyama

Open access · diamondAbstract read
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

7 authors at 3 institutions in 1 country.

Sawako KatoDepartment of Nephrology, Nagoya University Graduate School of Medicine, Japan.
Masahiko AndoCenter for Advanced Medicine and Clinical Research, Nagoya University Hospital, Japan.
Hiroyuki HondaInnovative Research Center for Preventative Medical Engineering, Nagoya University, Japan.
Yasuko YoshidaInnovative Research Center for Preventative Medical Engineering, Nagoya University, Japan.
Takahiro ImaizumiDepartment of Nephrology, Nagoya University Graduate School of Medicine, Japan.
Naoki YamamotoSafety and Health Promotion Division, Toyota Motor Corporation, Japan.
Shoichi MaruyamaDepartment of Nephrology, Nagoya University Graduate School of Medicine, Japan.
Nagoya University · JPNagoya University Hospital · JPToyota Motor Corporation (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Exercise therapy is used for glycemic control in type 2 diabetes mellitus (T2DM). We evaluated the effects of intensive health guidance using the Internet of things (IoT) among Japanese company workers with early T2DM. Methods Fifty-three men (mean age: 54 years) with glycated hemoglobin (HbA1c) levels of >6.5% were enrolled in a 6-month exercise therapy program between August 2016 and January 2017. They used activity meters, scales, and sphygmomanometers connected to the Internet by Bluetooth. These devices automatically and continuously recorded daily information, and the participants simultaneously received health guidance from a public health nurse twice a month. Results The number of daily steps significantly increased, whereas the amount of physical activity increased but was not significant. The mean decrease (±SD) in HbA1c levels after 3 and 6 months was estimated to be -0.40% (±0.45, p<0.0001) and -0.19% (±0.55, p=0.033), respectively, by a linear mixed model that included baseline HbA1c levels and age as covariates. The program failed to improve the body mass index and blood pressure of the participants. The percentage of active stage (action and maintenance stage) in stage of health behavior significantly increased from 48% to 68% (p=0.011). Conclusion Intensive lifestyle intervention using a wearable monitoring system and remote health guidance improved diabetic control in middle-aged company workers.

Indexed as

Life StyleBlood GlucoseBody Mass IndexDiabetes Mellitus, Type 2ExerciseFemaleGlycated HemoglobinHealth BehaviorHumansInternet of ThingsMaleMiddle AgedMonitoring, PhysiologicBlood GlucoseGlycated Hemoglobinexercisehealthy behaviorinternet of thingslifestyle changetype 2 diabetes mellitus

Identifiers

PMID31902908
PMCPMC6995706
OpenAlexW2998399461

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.