Evidence map›Paper›PMID 41103654›Full record

ArticleFrontiers in endocrinology2025

Relative fat mass is associated with vitamin D deficiency in individuals with diabetes: evidence from NHANES and a Chinese cohort.

Qichao Yang, Mengjiao Xu, Lu Qin, Xuejing Shao, Han Yan

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qichao YangDepartment of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.
Mengjiao XuDepartment of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.
Lu QinDepartment of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.
Xuejing ShaoDepartment of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.
Han YanDepartment of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Relative fat mass (RFM) is a new metric used for obesity assessment. We aim to investigate the association between RFM and vitamin D deficiency in patients with diabetes. Methods: A total of 5,128 participants with diabetes mellitus from the NHANES 2007-2018 and an external Chinese validation cohort of 238 subjects from the Affiliated Wujin Hospital of Jiangsu University were analyzed. Logistic and linear regression, subgroup and curve fitting analyses were performed to assess the relationships between RFM and vitamin D deficiency risk as well as serum 25(OH)D levels. Receiver operating characteristic (ROC) and decision curve analysis (DCA) were applied to compare diagnostic efficacy among RFM, body mass index (BMI), waist circumference (WC), and height. Results: Vitamin D deficiency prevalence increased with rising RFM levels (P<0.001). Higher RFM was significantly associated with increased risk of vitamin D deficiency (OR = 1.056, 95%CI= (1.039, 1.073), P<0.001) and lower 25(OH)D levels (β=-0.662, 95%CI= (-0.852, -0.471), P<0.001) in patients with diabetes. ROC and DCA indicated that RFM yielded the highest discrimination for vitamin D deficiency (AUC = 0.626), outperforming BMI (0.592), WC (0.567), and height (0.492). The associations remained robust in various subgroups and were confirmed in the external Chinese population. Conclusions: RFM is superior to conventional obesity measures in identifying individuals with diabetes at high risk for vitamin D deficiency. RFM may help to improve clinical risk stratification and management.

Indexed as

Adipose TissueDiabetes MellitusObesityVitamin D DeficiencyAdultAgedBody Mass IndexChinaCohort StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceVitamin DbodycompositiondiabetesNHANESrelative fat massvitamin D deficiency

Identifiers

PMID41103654
PMCPMC12520909

What OpenQuestion 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 OpenQuestion graph.