Evidence map›Paper›PMID 38020343›Full record

ArticleChina CDC weekly2023

Comparative Study on Physical Activity in Diabetic and Non-Diabetic Individuals and Influential Factors - China, 2020-2021.

Aolin Li, Jun Lyu, Yuanyuan Chen, Zilun Shao, Dianjianyi Sun, Canqing Yu, Liming Li

Open access · diamondAbstract read
In one paragraph

Article in China CDC weekly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Aolin LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jun LyuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yuanyuan ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Zilun ShaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Canqing YuPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: The majority of Chinese patients with diabetes failed to achieve the level of physical activity recommended by clinical guidelines. What is added by this report?: The prevalence of low-level physical activity was found to be greater in individuals diagnosed with diabetes. It was observed that patients with a protracted duration of diabetes demonstrated a propensity to participate in lower levels of physical activity compared to those with a shorter disease trajectory. The likelihood of engaging in low-level physical activity associated with diabetes was higher in rural inhabitants, those with medium-tier education, employed individuals, and individuals who had longer sleep durations. What are the implications for public health practice?: Developing strategies and interventions to encourage greater involvement of Chinese diabetic patients in physical activity is essential. However, these strategies must take population characteristics into account.

Indexed as

Diabetes MellitusInfluencing FactorsPhysical Activity

Identifiers

PMID38020343
PMCPMC10652085
OpenAlexW4388577993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.