Anthropometric and metabolic parameters associated with visceral fat in non-obese type 2 diabetes individuals

被引:0
作者
Jiao, Ming [1 ,2 ]
Chen, Jiaoli [1 ]
Wang, Xiaoling [1 ]
Tao, Wenyu [1 ]
Feng, Yunhua [1 ]
Yang, Huijun [1 ]
Yang, Haiying [1 ]
Zhao, Shanshan [1 ]
Yang, Ying [1 ]
Li, Yiping [1 ]
机构
[1] Yunnan Univ, Peoples Hosp Yunnan Prov 2, Affiliated Hosp, Dept Endocrinol, Kunming 650021, Yunnan, Peoples R China
[2] Kunming Med Univ, Kunming 650021, Yunnan, Peoples R China
关键词
T2DM; Visceral fat; Relevant factors; Normal BMI; Neck circumference; Lipid accumulation product; LIPID-ACCUMULATION PRODUCT; CAROTID-ARTERY INTIMA; BODY-MASS INDEX; NECK CIRCUMFERENCE; ADIPOSITY INDEX; INSULIN-RESISTANCE; MEDIA THICKNESS; CENTRAL OBESITY; RISK-FACTORS; DISEASE;
D O I
10.1186/s13098-025-01583-1
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background and Aim Visceral fat (VF) was proved to be a more precise predictor of atherosclerotic cardiovascular disease (ASCVD) risk in individuals with type 2 diabetes mellitus (T2DM) than body mass index (BMI) itself. Even when the BMI was normal, visceral fat area (VFA) >= 90 cm(2) could raise the ten-year risk of developing ASCVD. Therefore, it was worth evaluating the association of influencing factors with high VF in non-obese T2DM individuals. Methods This study enrolled 1,409 T2DM participants with T2DM, of whom 538 had a normal BMI. Based on VFA, these subjects were divided into two groups: VF (+) (VFA >= 90cm(2)) (n = 110) and VF (-) (VFA < 90cm(2)) (n = 428). The measurement of VFA was conducted using an Omron VF measuring device. Anthropometric and metabolic parameters were detected. Novel insulin resistance indices, such as lipid accumulation product (LAP) was calculated. Factors associated with VF were screened using univariate analysis, multifactorial binary logistic regression models and chi-squared automatic interaction detector decision tree model. Results The VF (+) OB (-) (BMI <= 23.9 kg/m(2)) prevalence were 7.8% in T2DM subjects (n = 1,409) and 20.4% in T2DM subjects with normal BMI (n = 538), respectively. In T2DM subjects with normal BMI, the logistic regression model suggested that neck circumference (NC) had an odds ratio (OR) of 1.891 (95% CI: 1.165-3.069, P = 0.010). The OR for VF gradually increased from the 1st to the 4th in LAP quartile (P < 0.05). LAP emerged as the root node, followed by NC in the decision tree model. Receiver operating characteristic curve (ROC) analysis demonstrated that the area under the curve (AUC) for NC in predicting high VF levels was 0.640 for males and 0.682 for females. Optimal NC cut-off points were 37.75 cm for males and 34.75 cm for females, respectively. Additionally, the AUC values of LAP in predicting high VF levels were 0.745 for males and 0.772 for females, with optimal LAP cut-off points of 22.64 and 26.45 for males and females, respectively. Conclusion This study identified NC and LAP can be considered predictors of high VF in T2DM subjects with normal BMI.
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页数:13
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共 87 条
  • [1] Visceral Adiposity Index A reliable indicator of visceral fat function associated with cardiometabolic risk
    Amato, Marco C.
    Giordano, Carla
    Galia, Massimo
    Criscimanna, Angela
    Vitabile, Salvatore
    Midiri, Massimo
    Galluzzo, Aldo
    [J]. DIABETES CARE, 2010, 33 (04) : 920 - 922
  • [3] Lipid accumulation product (LAP) as a potential index to predict risk of insulin resistance in young, non-obese Asian Indian males from Southern India: observations from hyperinsulinemic-euglycemic clamp studies
    Anoop, Shajith S.
    Dasgupta, Riddhi
    Rebekah, Grace
    Jose, Arun
    Inbakumari, Mercy Prem
    Finney, Geethanjali
    Thomas, Nihal
    [J]. BMJ OPEN DIABETES RESEARCH & CARE, 2021, 9 (01)
  • [4] Neck Circumference as an Anthropometric Indicator of Central Obesity in Patients with Prediabetes: A Cross-Sectional Study
    Anothaisintawee, Thunyarat
    Sansanayudh, Nakarin
    Thamakaison, Sangsulee
    Lertrattananon, Dumrongrat
    Thakkinstian, Ammarin
    [J]. BIOMED RESEARCH INTERNATIONAL, 2019, 2019
  • [5] Optimal waist circumference cutoffs for abdominal obesity in Chinese
    Bao, Yuqian
    Lu, Junxi
    Wang, Chen
    Yang, Ming
    Li, Huating
    Zhang, Xiaoyan
    Zhu, Jiehua
    Lu, Huijuan
    Jia, Weiping
    Xiang, Kunsan
    [J]. ATHEROSCLEROSIS, 2008, 201 (02) : 378 - 384
  • [6] Impact of increased visceral adiposity with normal weight on the progression of arterial stiffness in Japanese patients with type 2 diabetes
    Bouchi, Ryotaro
    Minami, Isao
    Ohara, Norihiko
    Nakano, Yujiro
    Nishitani, Rie
    Murakami, Masanori
    Takeuchi, Takato
    Akihisa, Momoko
    Fukuda, Tatsuya
    Fujita, Masamichi
    Yoshimoto, Takanobu
    Ogawa, Yoshihiro
    [J]. BMJ OPEN DIABETES RESEARCH & CARE, 2015, 3 (01)
  • [7] The Science of Obesity Management: An Endocrine Society Scientific Statement
    Bray, George A.
    Heisel, William E.
    Afshin, Ashkan
    Jensen, Michael D.
    Dietz, William H.
    Long, Michael
    Kushner, Robert F.
    Daniels, Stephen R.
    Wadden, Thomas A.
    Tsai, Adam G.
    Hu, Frank B.
    Jakicic, John M.
    Ryan, Donna H.
    Wolfe, Bruce M.
    Inge, Thomas H.
    [J]. ENDOCRINE REVIEWS, 2018, 39 (02) : 79 - 132
  • [8] A new framework for the diagnosis, staging and management of obesity in adults
    Busetto, Luca
    Dicker, Dror
    Fruehbeck, Gema
    Halford, Jason C. G.
    Sbraccia, Paolo
    Yumuk, Volkan
    Goossens, Gijs H.
    [J]. NATURE MEDICINE, 2024, 30 (09) : 2395 - 2399
  • [9] Change of neck circumference in relation to visceral fat area: a Chinese community-based longitudinal cohort study
    Cao, Weijie
    Xu, Yiting
    Shen, Yun
    Hu, Tingting
    Xiao, Yunfeng
    Wang, Yufei
    Ma, Xiaojing
    Bao, Yuqian
    [J]. INTERNATIONAL JOURNAL OF OBESITY, 2022, 46 (09) : 1633 - 1637
  • [10] Lipid accumulation product is a better predictor of metabolic syndrome in Chinese adolescents: a cross-sectional study
    Chen, Zi-yi
    Liu, Lei
    Zhuang, Xu-xiu
    Zhang, Yi-cong
    Ma, Ya-nan
    Liu, Yang
    Wen, De-liang
    [J]. FRONTIERS IN ENDOCRINOLOGY, 2023, 14