Evidence map›Paper›PMID 39834472›Full record

ArticleFrontiers in nutrition2024

Inflammation mediates the association between muscle mass and accelerated phenotypic aging: results from the NHANES 2011-2018.

Shifu Bao, Weibu Jimu, Nai Mu, Fang Yan, Shuxing Xing, Tao Li, Zheng Zhou

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Shifu BaoDepartment of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Weibu JimuDepartment of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Nai MuDepartment of Orthopedics, Chengdu Fifth People's Hospital, Chengdu, China.
Fang YanDepartment of Geriatrics, Chengdu Fifth People's Hospital, Chengdu, China.
Shuxing XingDepartment of Orthopedics, Chengdu Fifth People's Hospital, Chengdu, China.
Tao LiDepartment of Orthopedic Surgery and Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Zheng ZhouDepartment of Orthopedics, Chengdu Fifth People's Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Muscle mass plays a pivotal role in health maintenance, yet its connection to biological aging remains underexplored. This study investigates the association between appendicular skeletal muscle mass index (ASMI) and phenotypic age(PhenoAge), while examining the mediating role of systemic inflammation. Methods: The analysis included 7,440 participants from the NHANES 2011-2018. Phenotypic Age Acceleration (PhenoAgeAccel) was calculated as the residuals from regressing PhenoAge on chronological age. Multivariable linear regression analyses were performed to assess the association between ASMI and PhenoAgeAccel. Mediation analysis was conducted to quantify the extent to which systemic inflammation contributes to this association. Results: Our analysis revealed that higher ASMI is linked to slower biological aging, as evidenced by lower PhenoAgeAccel ( Conclusion: These findings highlight the critical importance of muscle mass in slowing biological aging, with systemic inflammation emerging as a key biological mediator. The public health implications are substantial, suggesting that targeted interventions-such as resistance training, anti-inflammatory diets, and personalized medical approaches-could play a pivotal role in decelerating biological aging and improving long-term health outcomes.

Indexed as

agingcross-sectional studyNHANESPhenoAgeSIIskeletal muscle

Identifiers

PMID39834472
PMCPMC11743368

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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.