Association of Body Mass Index-Adjusted Body Cell Mass and Lean Body Mass with Metabolic Syndrome and Insulin Resistance in Middle-Aged and Older Adults: A Cross-Sectional Study.

IF 12.7 Q1 ENDOCRINOLOGY & METABOLISM

Journal of Obesity & Metabolic Syndrome Pub Date : 2026-01-30 Epub Date: 2026-01-16 DOI:10.7570/jomes25022

Sinyoung Cho, Joongyub Lee, Jae Moon Yun, Hyuktae Kwon

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引用次数: 0

Abstract

Background: This study was conducted to examine the association of body mass index (BMI)-adjusted body cell mass (BCM; BCM_bmi) and lean body mass (LBM; LBM_bmi) with metabolic markers, metabolic syndrome (MetS), and insulin resistance (IR) in middle-aged and older Korean adults.

Methods: This cross-sectional study included 9,522 adults (4,456 males and 5,066 females) without a history of myocardial infarction, stroke, or cancer from the Ansan-Ansung Study of the Korean Genome and Epidemiology Study. Multivariable linear regression was conducted to evaluate the association of BCM_bmi and LBM_bmi with metabolic markers. Logistic regression analyses were conducted to evaluate the association of BCM_bmi and LBM_bmi with metabolic abnormalities, including MetS and IR. MetS diagnosis followed National Cholesterol Education Program Adult Treatment Panel III criteria, and IR was assessed using the homeostatic model assessment index of insulin resistance (HOMA-IR).

Results: BCM_bmi and LBM_bmi were negatively associated with fasting glucose, fasting insulin, HOMA-IR, triglycerides, alanine/aspartate aminotransferase, uric acid, and high-sensitivity C-reactive protein, while they were positively associated with high-density lipoprotein cholesterol. The magnitudes of regression coefficients were generally greater for BCM_bmi than for LBM_bmi. A total of 3,590 (37.7%) and 3,490 (36.7%) participants were categorized as having MetS and IR. Compared to the lowest tertile of BCM_bmi, the highest tertiles were associated with lower odds ratio of MetS (males: 0.36 [95% confidence interval, CI, 0.30 to 0.42], females: 0.23 [95% CI, 0.20 to 0.27]) and IR (males: 0.34 [95% CI, 0.30 to 0.40], females: 0.33 [95% CI, 0.28 to 0.38]), all with significant trends (P for trend <0.001).

Conclusion: The results suggest that BCM_bmi is independently associated with metabolic markers and demonstrate comparable predictive power to LBM_bmi for MetS and IR, particularly in males.

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体重指数调整的体细胞质量和瘦体重与中老年人代谢综合征和胰岛素抵抗的关系：一项横断面研究

背景：本研究旨在研究韩国中老年成年人体重指数（BMI）调整的体细胞质量（BCM; BCMbmi）和瘦体重（LBM; LBMbmi）与代谢标志物、代谢综合征（MetS）和胰岛素抵抗（IR）之间的关系。方法：这项横断面研究包括9,522名成年人（4,456名男性和5,066名女性），他们没有心肌梗死、中风或癌症史，来自韩国基因组和流行病学研究的Ansan-Ansung研究。采用多变量线性回归评价BCMbmi和LBMbmi与代谢标志物的相关性。采用Logistic回归分析来评估BCMbmi和LBMbmi与代谢异常（包括MetS和IR）的关系。MetS诊断遵循国家胆固醇教育计划成人治疗组III标准，IR采用胰岛素抵抗稳态模型评估指数（HOMA-IR）进行评估。结果：BCMbmi、LBMbmi与空腹血糖、空腹胰岛素、HOMA-IR、甘油三酯、丙氨酸/天冬氨酸转氨酶、尿酸、高敏c反应蛋白呈负相关，与高密度脂蛋白胆固醇呈正相关。BCMbmi的回归系数大小一般大于LBMbmi。共有3590名（37.7%）和3490名（36.7%）参与者被归类为met和IR。与BCMbmi的最低分位数相比，最高分位数与met（男性：0.36[95%可信区间，CI, 0.30 ~ 0.42]，女性：0.23 [95% CI, 0.20 ~ 0.27]）和IR（男性：0.34 [95% CI, 0.30 ~ 0.40]，女性，0.33 [95% CI, 0.28 ~ 0.38]）的比值比较低相关，均具有显著趋势（P为趋势）。结果表明，BCMbmi与代谢标志物独立相关，对MetS和IR的预测能力与LBMbmi相当，尤其是在男性中。

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来源期刊

Journal of Obesity & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-

CiteScore

8.30

自引率

9.60%

发文量

审稿时长

19 weeks

期刊介绍： The journal was launched in 1992 and diverse studies on obesity have been published under the title of Journal of Korean Society for the Study of Obesity until 2004. Since 2017, volume 26, the title is now the Journal of Obesity & Metabolic Syndrome (pISSN 2508-6235, eISSN 2508-7576). The journal is published quarterly on March 30th, June 30th, September 30th and December 30th. The official title of the journal is now "Journal of Obesity & Metabolic Syndrome" and the abbreviated title is "J Obes Metab Syndr". Index words from medical subject headings (MeSH) list of Index Medicus are included in each article to facilitate article search. Some or all of the articles of this journal are included in the index of PubMed, PubMed Central, Scopus, Embase, DOAJ, Ebsco, KCI, KoreaMed, KoMCI, Science Central, Crossref Metadata Search, Google Scholar, and Emerging Sources Citation Index (ESCI).