Evidence map›Paper›PMID 39355616›Full record

ArticleFrontiers in endocrinology2024

The inverse associations between composite-dietary-antioxidant-index and sarcopenia risk in US adults.

Kang Wang, Qin Zhou, Zhongbiao Jiang, Shiping Liu, Hanfen Tang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

5 authors.

Kang Wang *Department of Cardiology, Second Xiangya Hospital of Central South University, Changsha, China.
Qin Zhou *Department of General Surgery, Clinical Research Center for Breast Disease, Second Xiangya Hospital of Central South University, Changsha, China.
Zhongbiao JiangDepartment of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China.
Shiping LiuDepartment of Nutrition, The Second Xiangya Hospital of Central South University, Changsha, China.
Hanfen TangDepartment of Nutrition, The Second Xiangya Hospital of Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It remains unknown whether composite-dietary-antioxidant-index (CDAI) is associated with the risk of sarcopenia. This study investigated the association of CDAI with sarcopenia risk among general US adults. Methods: A total of 10,093 participants were enrolled in the National Health and Nutrition Examination Surveys (NHANES) from 6 survey cycles (2003-2004, 2005-2006, 2011-2012, 2013-2014, 2015-2016 and 2017-2018). Multivariate logistic regression was carried out to examine the relationship between CDAI and the risk of sarcopenia. Restricted cubic spline (RCS) curves were employed to analyze nonlinear relationships. Results: In a multi-variable logistic regression model adjusting for demographics, lifestyle, economic status and other dietary factors, higher CDAI score was related to a lower risk of sarcopenia among US adults. Compared the highest quartile of CDAI score with the lowest, the OR and 95%CI were 0.49 (0.31-0.75). Furthermore, the RCS demonstrated a linear dose-response relationship between CDAI and sarcopenia ( Conclusion: A higher CDAI score was associated with a lower risk of sarcopenia. According to these results, a greater adherence to CDAI may benefit sarcopenia prevention in adults.

Indexed as

AntioxidantsDietNutrition SurveysSarcopeniaAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk FactorsUnited StatesAntioxidantscomposite dietary antioxidant indexNHANESobservational studypublic healthsarcopenia

Identifiers

PMID39355616
PMCPMC11442324

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.