PMID- 37810434
OWN - NLM
STAT- MEDLINE
DCOM- 20231010
LR  - 20231010
IS  - 1661-8564 (Electronic)
IS  - 1661-8556 (Print)
IS  - 1661-8556 (Linking)
VI  - 68
DP  - 2023
TI  - Association of the Clinica Universidad de Navarra-Body Adiposity Estimator With 
      Type 2 Diabetes: A Retrospective Cohort Study.
PG  - 1606063
LID - 10.3389/ijph.2023.1606063 [doi]
LID - 1606063
AB  - Objectives: Clinica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is 
      considered to be a more accurate indicator of body fat estimation. We aimed to 
      investigate the association of CUN-BAE with the risk of type 2 diabetes mellitus 
      (T2DM) and to compare the strength of the association between CUN-BAE, body mass 
      index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and T2DM. 
      Methods: The data were obtained from the annual health checkup database of 
      residents in Xinzheng, China. From January 2011 to December 2021, 80,555 subjects 
      aged >/=45 years met the inclusion criteria. Cox proportional hazard regression 
      models were used to estimate the hazard ratios (HRs) and 95% confidence intervals 
      (CIs) for CUN-BAE, BMI, WC, and WHtR in T2DM. Results: During a mean follow-up of 
      6.26 years, T2DM occurred in 12,967 subjects. The multivariable-adjusted HRs (95% 
      CIs) of T2DM (highest vs. reference group) were 1.994 (1.811-2.196) for CUN-BAE, 
      1.751 (1.665-1.842) for WC, 1.715 (1.631-1.804) for WHtR, and 1.510 (1.436-1.588) 
      for BMI, respectively. In addition, the risk of T2DM increased with baseline 
      CUN-BAE (HR: 1.374; 95% CI: 1.328, 1.421), WC (HR: 1.236; 95% CI: 1.215, 1.256), 
      WHtR (HR: 1.228; 95% CI: 1.208, 1.248), and BMI (HR: 1.175; 95% CI: 1.156, 
      1.195). Conclusion: Compared to BMI, WC or WHtR, CUN-BAE may more adequately 
      reflect the adverse effects of adiposity on the risk of T2DM.
CI  - Copyright (c) 2023 Geng, Chen, Bai, Ding, Li and Shi.
FAU - Geng, Shuoji
AU  - Geng S
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
FAU - Chen, Xuejiao
AU  - Chen X
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
FAU - Bai, Kaizhi
AU  - Bai K
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
FAU - Ding, Jiacheng
AU  - Ding J
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
FAU - Li, Haojie
AU  - Li H
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
FAU - Shi, Songhe
AU  - Shi S
AD  - Department of Epidemiology and Health Statistics, College of Public Health, 
      Zhengzhou University, Zhengzhou, China.
LA  - eng
PT  - Journal Article
DEP - 20230921
PL  - Switzerland
TA  - Int J Public Health
JT  - International journal of public health
JID - 101304551
SB  - IM
MH  - Humans
MH  - *Diabetes Mellitus, Type 2/epidemiology/complications
MH  - Adiposity
MH  - Retrospective Studies
MH  - Obesity/complications
MH  - Body Mass Index
MH  - Waist Circumference
MH  - Risk Factors
PMC - PMC10551821
OTO - NOTNLM
OT  - CUN-BAE
OT  - body mass index
OT  - middle-aged and older adults
OT  - type 2 diabetes mellitus
OT  - waist circumference
COIS- The authors declare that they do not have any conflicts of interest.
EDAT- 2023/10/09 12:42
MHDA- 2023/10/10 06:41
PMCR- 2023/09/21
CRDT- 2023/10/09 06:03
PHST- 2023/04/04 00:00 [received]
PHST- 2023/09/05 00:00 [accepted]
PHST- 2023/10/10 06:41 [medline]
PHST- 2023/10/09 12:42 [pubmed]
PHST- 2023/10/09 06:03 [entrez]
PHST- 2023/09/21 00:00 [pmc-release]
AID - 1606063 [pii]
AID - 10.3389/ijph.2023.1606063 [doi]
PST - epublish
SO  - Int J Public Health. 2023 Sep 21;68:1606063. doi: 10.3389/ijph.2023.1606063. 
      eCollection 2023.