Evidence map›Paper›PMID 39502120›Full record

ArticleChina CDC weekly2024

Associations Between Changes in Physical Activity and Risk of All-Cause Mortality in Adults With/Without Hypertension - China, 2010-2022.

Xiaoyong He, Tingfang Ai, Fan Mao, Run Zhang, Xiaoqing You, Jianhong Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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.

Xiaoyong HeNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Tingfang AiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Fan MaoNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Run ZhangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaoqing YouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianhong LiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Previous studies indicate that an increase in physical activity can diminish the risk of mortality. However, the relationship between longitudinal changes in physical activity and health improvement among Chinese adults with or without hypertension has not been explored. What is added by this report?: This study found that increasing or maintaining moderate to high physical activity levels reduced the risk of all-cause mortality, irrespective of the baseline physical activity level. In addition, the beneficial effects were particularly pronounced in people with hypertension. What are the implications for public health practice?: It may be beneficial to encourage adults in China, especially those with hypertension, to actively increase physical activity and deter the issue of physical inactivity that accompanies aging.

Indexed as

All-cause MortalityChange in Physical ActivityHypertension

Identifiers

PMID39502120
PMCPMC11532518

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.