Evidence map›Paper›PMID 39635017›Full record

ArticleThe EPMA journal2024

Observational and genetic associations between cardiorespiratory fitness and age-related diseases: longitudinal analyses in the UK Biobank study.

Huimin Lu, Haotian Wang, Cancan Li, Xiaoni Meng, Deqiang Zheng, Lijuan Wu, Youxin Wang

Abstract read
In one paragraph

Article in The EPMA journal, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Huimin LuDepartment of Epidemiology and Health StatisticsSchool of Public HealthFengtai District, Capital Medical University, 10 Youanmen, Beijing, 100069 China.
Haotian WangDepartment of Epidemiology and Health StatisticsSchool of Public HealthFengtai District, Capital Medical University, 10 Youanmen, Beijing, 100069 China.
Cancan LiDepartment of Epidemiology and Health StatisticsSchool of Public HealthFengtai District, Capital Medical University, 10 Youanmen, Beijing, 100069 China.
Xiaoni MengDepartment of Epidemiology and Health StatisticsSchool of Public HealthFengtai District, Capital Medical University, 10 Youanmen, Beijing, 100069 China.
Deqiang ZhengDepartment of Epidemiology and Health StatisticsSchool of Public HealthFengtai District, Capital Medical University, 10 Youanmen, Beijing, 100069 China.
Lijuan WuDepartment of Epidemiology and Health StatisticsSchool of Public HealthFengtai District, Capital Medical University, 10 Youanmen, Beijing, 100069 China.
Youxin WangSchool of Public Health, North China University of Science and Technology, 21 Bohaidadao, Tangshan, 063210 Caofeidian China.ORCID 0000-0002-6574-6706

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Observational studies have indicated that increased cardiorespiratory fitness is associated with a decreased risk of cardiovascular disease (CVD), Alzheimer's disease (AD), and Parkinson's disease (PD). However, the causal mechanisms remain unclear. The objective of this study was to assess the role of fitness in the early detection and reduction of disease risk within the framework of predictive, preventive, and personalized medicine (PPPM/3PM). Methods: The associations of fitness with CVD, AD, and PD were explored in a large cohort of up to 502,486 individuals between the ages of 40 and 69 years from the UK Biobank. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the risk of CVD, AD, and PD among participants who completed a submaximal fitness test. Causality relationships were assessed via two-sample Mendelian randomization (MR). Results: After a median of 11 years of follow-up, each 3.5 ml of O Conclusion: Our results indicate that fitness has an effect on age-related diseases. Protective associations of higher fitness levels with the risk of CVD, AD, and PD were validated in this cohort study. These findings might be valuable for predicting, preventing, and reducing disease morbidity and mortality through primary prevention and healthcare in the context of PPPM. Supplementary Information: The online version contains supplementary material available at 10.1007/s13167-024-00382-4.

Indexed as

Alzheimer’s diseaseCardiorespiratory fitnessCardiovascular diseaseCausal inferenceMendelian randomizationParkinson’s diseasePredictive preventive personalized medicine (PPPM / 3PM)

Identifiers

PMID39635017
PMCPMC11612119

What Socratic holds

Textmetadata
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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 Socratic graph.