Evidence map›Paper›PMID 38814746›Full record

ArticleTranslational vision science & technology2024

Impact of Physical Activity Frequency, Duration, and Intensity on Senile Cataract Risk: A Mendelian Randomization Study.

Yuze Mi, Qinnan Zhu, Yuxiang Chen, Xinni Zheng, Minghui Wan, Yipao Li

Abstract read
In one paragraph

Article in Translational vision science & technology, 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

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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.

Yuze MiNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Qinnan ZhuNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Yuxiang ChenNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Xinni ZhengNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Minghui WanNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Yipao LiNational Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to determine the causal effects of physical activities with different frequencies, durations, and intensities on the risk of senile cataracts using Mendelian randomization (MR). Methods: A bidirectional two-sample MR approach was used to determine the association between physical activity and senile cataract risk. Our primary analysis used the inverse variance weighted method, and secondary analyses included MR-Egger regression, MR-PRESSO, and Cochran's Q statistic to evaluate heterogeneity and pleiotropy. Causal estimates were presented as odds ratios (ORs) with 95% confidence intervals (95% CIs). Results: Genetically predicted moderate physical activity ≥ 10 min/wk (OR = 0.765, 95% CI = 0.627-0.936, P = 8.73E-03), vigorous physical activity ≥ 10 min/wk (OR = 0.691, 95% CI = 0.521-0.917, P = 1.04E-02), moderate-to-vigorous physical activity levels (OR = 0.552, 95% CI = 0.369-0.823, P = 3.75E-03), and overall acceleration average (OR = 0.952, 95% CI = 0.926-0.978, P = 3.80E-04) were associated with a decreased risk of senile cataract while walking ≥ 10 min/wk (OR = 0.972, 95% CI = 0.741-1.275, P = 8.36E-01) had no significant correlation. The reverse MR analysis showed no reversal causality from senile cataract to physical activity except for walking ≥ 10 min/wk (OR = 0.951, 95% CI = 0.923-0.979, P = 7.30E-04). Conclusions: Our findings suggest that moderate to vigorous physical activity with higher frequency and longer duration will causally reduce the risk of senile cataracts, and there is no reverse causal relationship. Translational Relevance: These findings underscore the potential of incorporating physical activity into preventive health strategies for senile cataracts.

Indexed as

CataractExerciseMendelian Randomization AnalysisAgedHumansOdds RatioPolymorphism, Single NucleotideRisk FactorsTime Factors

Identifiers

PMID38814746
PMCPMC11146084

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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.