Relative fat mass is associated with vitamin D deficiency in individuals with diabetes: evidence from NHANES and a Chinese cohort.
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| Název: | Relative fat mass is associated with vitamin D deficiency in individuals with diabetes: evidence from NHANES and a Chinese cohort. |
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| Autoři: | Yang Q; Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China., Xu M; Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China., Qin L; Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China., Shao X; Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China., Yan H; Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China. |
| Zdroj: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2025 Oct 01; Vol. 16, pp. 1659361. Date of Electronic Publication: 2025 Oct 01 (Print Publication: 2025). |
| Způsob vydávání: | Journal Article |
| Jazyk: | English |
| Informace o časopise: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: [Lausanne : Frontiers Research Foundation] |
| Výrazy ze slovníku MeSH: | Vitamin D Deficiency*/epidemiology , Vitamin D Deficiency*/blood , Diabetes Mellitus*/epidemiology , Adipose Tissue* , Obesity*/complications , Obesity*/epidemiology, Humans ; Male ; Female ; Middle Aged ; China/epidemiology ; Nutrition Surveys ; Adult ; Body Mass Index ; Cohort Studies ; Aged ; Vitamin D/blood ; Vitamin D/analogs & derivatives ; Prevalence ; Waist Circumference ; East Asian People |
| Abstrakt: | Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. 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. (Copyright © 2025 Yang, Xu, Qin, Shao and Yan.) |
| References: | Int J Epidemiol. 2023 Feb 8;52(1):260-271. (PMID: 35579027) Diabetes Metab Syndr. 2022 Sep;16(9):102590. (PMID: 35986982) J Clin Endocrinol Metab. 2011 Jul;96(7):1911-30. (PMID: 21646368) Nutrients. 2021 Oct 01;13(10):. (PMID: 34684492) Diabetes Care. 2015 Jan;38 Suppl:S8-S16. (PMID: 25537714) Curr Diab Rep. 2019 Sep 10;19(10):101. (PMID: 31506836) Prog Cardiovasc Dis. 2018 Jul - Aug;61(2):151-156. (PMID: 29852198) Lipids Health Dis. 2024 Oct 31;23(1):354. (PMID: 39482681) JACC Cardiovasc Imaging. 2023 Jun;16(6):800-816. (PMID: 36881425) BMC Med. 2023 Oct 31;21(1):411. (PMID: 37904126) Eur J Intern Med. 2019 May;63:e9-e11. (PMID: 30857672) J Cachexia Sarcopenia Muscle. 2025 Aug;16(4):e70013. (PMID: 40662213) FEBS J. 2025 May;292(9):2189-2207. (PMID: 39496581) Adv Nutr. 2016 Jan 15;7(1):121-34. (PMID: 26773020) Curr Obes Rep. 2023 Jun;12(2):75-85. (PMID: 36808566) Int J Obes (Lond). 2020 Jun;44(6):1301-1310. (PMID: 31911664) Curr Opin Endocrinol Diabetes Obes. 2017 Dec;24(6):389-394. (PMID: 28915134) Am J Clin Nutr. 2016 Jun;103(6):1465-71. (PMID: 27169839) J Am Nutr Assoc. 2024 Sep-Oct;43(7):571-581. (PMID: 38739850) Am J Clin Nutr. 2022 Nov;116(5):1409-1417. (PMID: 36107812) J Affect Disord. 2024 Jul 1;356:323-328. (PMID: 38614443) J Bone Miner Res. 2019 Jun;34(6):1068-1073. (PMID: 30790351) Sci Rep. 2018 Jul 20;8(1):10980. (PMID: 30030479) PLoS One. 2024 Apr 16;19(4):e0301327. (PMID: 38626143) Diabetes Metab Syndr Obes. 2023 Aug 08;16:2377-2387. (PMID: 37577042) Sci Rep. 2024 Oct 8;14(1):23496. (PMID: 39379450) BMC Psychiatry. 2023 Jul 24;23(1):534. (PMID: 37488550) Front Nutr. 2020 May 07;7:53. (PMID: 32457915) Sci Rep. 2024 Dec 28;14(1):30823. (PMID: 39730510) J Nutr. 2024 Feb;154(2):648-657. (PMID: 38042351) Am J Clin Nutr. 2000 Sep;72(3):690-3. (PMID: 10966885) J Gerontol A Biol Sci Med Sci. 2025 Feb 10;80(3):. (PMID: 39918389) Int J Obes (Lond). 2025 Feb;49(2):159-167. (PMID: 38714830) Lancet. 2014 Jan 11;383(9912):146-55. (PMID: 24119980) Eur J Prev Cardiol. 2024 Jun 3;31(8):1026-1035. (PMID: 38243826) Obes Rev. 2022 Aug;23(8):e13453. (PMID: 35365943) Diabetes Care. 2021 Feb;44(2):350-357. (PMID: 33168652) Medicina (Kaunas). 2023 Jun 11;59(6):. (PMID: 37374327) Endocr Rev. 2024 Sep 12;45(5):625-654. (PMID: 38676447) Surg Obes Relat Dis. 2024 May;20(5):419-424. (PMID: 38461055) |
| Contributed Indexing: | Keywords: NHANES; bodycomposition; diabetes; relative fat mass; vitamin D deficiency |
| Molecular Sequence: | figshare 10.6084/m9.figshare.29474501.v1 |
| Substance Nomenclature: | 1406-16-2 (Vitamin D) |
| Entry Date(s): | Date Created: 20251017 Date Completed: 20251017 Latest Revision: 20251118 |
| Update Code: | 20251119 |
| PubMed Central ID: | PMC12520909 |
| DOI: | 10.3389/fendo.2025.1659361 |
| PMID: | 41103654 |
| Databáze: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br />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.<br />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.<br />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.<br />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.<br /> (Copyright © 2025 Yang, Xu, Qin, Shao and Yan.) |
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| ISSN: | 1664-2392 |
| DOI: | 10.3389/fendo.2025.1659361 |