Evidence map›Paper›PMID 35047473›Full record

ArticleFrontiers in public health2021

What Factors Predict the Adoption of Type 2 Diabetes Patients to Wearable Activity Trackers-Application of Diffusion of Innovation Theory.

Ping Chen, Ying Shen, Zeming Li, Xinying Sun, Xing Lin Feng, Edwin B Fisher

Abstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Are Wearables Effective in LMICs?Public health reviews · 2025
    Review
  6. Article
  7. Article
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

6 authors.

Ping ChenDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.
Ying ShenGlobal Health Office, Beijing Center for Disease Prevention and Control, Beijing, China.
Zeming LiDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.
Xinying SunDepartment of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China.
Xing Lin FengDepartment of Health Policy and Management, School of Public Health, Peking University, Beijing, China.
Edwin B FisherDepartment of Health Behavior Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diabetes Mellitus, Type 2Fitness TrackersAgedDiffusion of InnovationHumansIntentionMiddle AgedSurveys and Questionnairesdiffusion of innovation theoryelderly patientsphysical activitystructural equation modelingtype 2 diabeteswearable activity trackers

Identifiers

PMID35047473
PMCPMC8761937

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.