PMID- 36747216
OWN - NLM
STAT- MEDLINE
DCOM- 20230208
LR  - 20230209
IS  - 1476-511X (Electronic)
IS  - 1476-511X (Linking)
VI  - 22
IP  - 1
DP  - 2023 Feb 6
TI  - The relationship between the CUN-BAE body fatness index and incident diabetes: a 
      longitudinal retrospective study.
PG  - 21
LID - 10.1186/s12944-023-01784-5 [doi]
LID - 21
AB  - BACKGROUND: The Clinica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) 
      index has been recommended as an ideal indicator of body fat and exhibited 
      significant correlation with cardiometabolic risk factors. However, whether the 
      CUN-BAE index correlates with incident diabetes in Asian populations is unknown. 
      Therefore, this longitudinal study was designed to evaluate the association 
      between baseline CUN-BAE index and type 2 diabetes mellitus (T2DM). METHODS: This 
      retrospective longitudinal study involved 15,464 participants of 18-79 years of 
      age in the NAGALA (NAfld in the Gifu Area Longitudinal Analysis) study over the 
      period of 2004-2015. Cox proportional hazards regression was performed to test 
      the relationship between the baseline CUN-BAE index and diabetes incidence. 
      Further stratification analysis was conducted to ensure that the results were 
      robust. The diagnostic utility of the CUN-BAE index was tested by the receiver 
      operating characteristic (ROC) curve. RESULTS: Over the course of an average 
      follow-up of 5.4 years, 373 (2.41%) participants developed diabetes. A higher 
      diabetes incidence was associated with higher CUN-BAE quartiles (P for 
      trend< 0.001). Each 1 unit increase in CUN-BAE index was associated with a 
      1.08-fold and 1.14-fold increased risk of diabetes after adjustment for 
      confounders in males and females, respectively (both P < 0.001). Stratification 
      analysis demonstrated a consistent positive correlation between baseline CUN-BAE 
      and diabetes incidence. Moreover, based on ROC analysis, CUN-BAE exhibited a 
      better capacity for diabetes prediction than both body mass index (BMI) and waist 
      circumference (WC) in both sexes. CONCLUSIONS: The baseline CUN-BAE level was 
      independently related to the incidence of diabetes. Increased adiposity 
      determined by CUN-BAE could be used as a strong nonlaboratory predictor of 
      incident diabetes in clinical practice.
CI  - (c) 2023. The Author(s).
FAU - Peng, Qing
AU  - Peng Q
AD  - Second Clinical Medical College, Southern Medical University, Guangzhou, China.
FAU - Feng, Zihao
AU  - Feng Z
AD  - First Clinical Medical College, Southern Medical University, Guangzhou, China.
FAU - Cai, Zhuojian
AU  - Cai Z
AD  - First Clinical Medical College, Southern Medical University, Guangzhou, China.
FAU - Liu, Dixing
AU  - Liu D
AD  - Department of Endocrinology, Affiliated Dongguan Hospital, Southern Medical 
      University (Dongguan People's Hospital), No. 3, South Wandao Road, Xingu Chong, 
      Wanjiang District, Dongguan, 523059, Guangdong Province, China.
FAU - Zhong, Jiana
AU  - Zhong J
AD  - Department of Endocrinology, The Dongguan Affiliated Hospital of Jinan 
      University, Binhaiwan Central Hospital of Dongguan, Dongguan, China.
FAU - Zhao, Hejia
AU  - Zhao H
AD  - School of Public Health, Southern Medical University, Guangzhou, China.
FAU - Zhang, Xiuwei
AU  - Zhang X
AD  - Department of Endocrinology, Affiliated Dongguan Hospital, Southern Medical 
      University (Dongguan People's Hospital), No. 3, South Wandao Road, Xingu Chong, 
      Wanjiang District, Dongguan, 523059, Guangdong Province, China.
FAU - Chen, Weikun
AU  - Chen W
AD  - Department of Endocrinology, Affiliated Dongguan Hospital, Southern Medical 
      University (Dongguan People's Hospital), No. 3, South Wandao Road, Xingu Chong, 
      Wanjiang District, Dongguan, 523059, Guangdong Province, China. 
      13712626959@163.com.
LA  - eng
PT  - Journal Article
DEP - 20230206
PL  - England
TA  - Lipids Health Dis
JT  - Lipids in health and disease
JID - 101147696
SB  - IM
MH  - Male
MH  - Female
MH  - Humans
MH  - *Adiposity
MH  - Retrospective Studies
MH  - *Diabetes Mellitus, Type 2/diagnosis/epidemiology/complications
MH  - Longitudinal Studies
MH  - Obesity/metabolism
MH  - Body Mass Index
MH  - Waist Circumference
MH  - Adipose Tissue/metabolism
MH  - Risk Factors
PMC - PMC9901000
OTO - NOTNLM
OT  - Body fatness
OT  - CUN-BAE index
OT  - Insulin resistance
OT  - Obesity
OT  - Type 2 diabetes mellitus
COIS- The authors declare no competing interests.
EDAT- 2023/02/08 06:00
MHDA- 2023/02/09 06:00
PMCR- 2023/02/06
CRDT- 2023/02/07 00:14
PHST- 2022/12/01 00:00 [received]
PHST- 2023/01/31 00:00 [accepted]
PHST- 2023/02/07 00:14 [entrez]
PHST- 2023/02/08 06:00 [pubmed]
PHST- 2023/02/09 06:00 [medline]
PHST- 2023/02/06 00:00 [pmc-release]
AID - 10.1186/s12944-023-01784-5 [pii]
AID - 1784 [pii]
AID - 10.1186/s12944-023-01784-5 [doi]
PST - epublish
SO  - Lipids Health Dis. 2023 Feb 6;22(1):21. doi: 10.1186/s12944-023-01784-5.