Evidence map›Paper›PMID 37747776›Full record

ArticleJMIR public health and surveillance2023

The Impact of Physical Activity Intensity on the Dynamic Progression of Cardiometabolic Multimorbidity: Prospective Cohort Study Using UK Biobank Data.

Bao-Peng Liu, Jia-Hui Zhu, Li-Peng Wan, Zhen-Yu Zhao, Xinting Wang, Cun-Xian Jia

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 1 institution in 1 country.

Bao-Peng LiuDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0003-1277-7397
Jia-Hui ZhuDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0009-0008-2845-780X
Li-Peng WanDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0002-6058-8315
Zhen-Yu ZhaoDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0009-0005-2873-0261
Xinting WangDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0002-4396-1835
Cun-Xian JiaDepartment of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.ORCID 0000-0002-2651-147X
Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many studies have reported on the associations between the amount of physical activity (PA) and the transitions of cardiometabolic multimorbidity (CMM), the evidence for PA intensity has not been fully evaluated.

objectiveThis study aimed to explore the impact of PA intensity on the dynamic progression of CMM.

methodsThe prospective cohort of this study using data from the UK Biobank included 359,773 participants aged 37-73 years who were recruited from 22 centers between 2006 and 2010. The diagnoses of CMM, which included the copresence of type 2 diabetes (T2D), ischemic heart disease, and stroke, were obtained from first occurrence fields provided by the UK Biobank, which included data from primary care, hospital inpatient record, self-reported medical condition, and death registers. The PA intensity was assessed by the proportion of vigorous PA (VPA) to moderate to vigorous PA (MVPA). Multistate models were used to evaluate the effect of PA intensity on the dynamic progression of CMM. The first model (model A) included 5 transitions, namely free of cardiometabolic disease (CMD) to first occurrence of CMD (FCMD), free of CMD to death, FCMD to CMM, FCMD to mortality, and CMM to mortality. The other model (model B) used specific CMD, namely T2D, ischemic heart disease, and stroke, instead of FCMD and included 11 transitions in this study.

resultsThe mean age of the included participants (N=359,773) was 55.82 (SD 8.12) years at baseline, and 54.55% (196,271/359,773) of the participants were female. Compared with the participants with no VPA, participants with intensity levels of >0.75 to <1 for VPA to MVPA had a 13% and 27% lower risk of transition from free of CMD to FCMD (hazard ratio [HR] 0.87, 95% CI 0.83-0.91) and mortality (HR 0.73, 95% CI 0.66-0.79) in model A, respectively. The HR for the participants with no moderate PA was 0.82 (95% CI 0.73-0.92) compared with no VPA. There was a substantially protective effect of higher PA intensity on the transitions from free of CMD to T2D and from T2D to mortality, which reveals the importance of PA intensity for the transitions of T2D. More PA and greater intensity had a synergistic effect on decreasing the risk of the transitions from free of CMD to FCMD and mortality. Male participants, younger adults, adults with a higher BMI, current or previous smokers, and excessive alcohol drinkers could obtain more benefits from higher PA intensity for the lower risk of at least 1 transition from free of CMD, then to CMM, and finally to mortality.

conclusionsThis study suggests that higher PA intensity is an effective measure for preventing CMM and mortality in the early period of CMM development. Relevant interventions related to higher PA intensity should be conducted.

Indexed as

Diabetes Mellitus, Type 2Myocardial IschemiaStrokeAdultBiological Specimen BanksExerciseFemaleHumansMaleMiddle AgedMultimorbidityProspective StudiesUnited Kingdomcardiometabolic multimorbidityCMMcohort studydynamic progressionPAphysical activity intensity

Identifiers

PMID37747776
PMCPMC10562971
OpenAlexW4387002946

What Socratic 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 Socratic graph.