PMID- 29802755
OWN - NLM
STAT- MEDLINE
DCOM- 20190128
LR  - 20221207
IS  - 1753-0407 (Electronic)
IS  - 1753-0407 (Linking)
VI  - 10
IP  - 12
DP  - 2018 Dec
TI  - Optimal body mass index cut-off points for prediction of incident diabetes in a 
      Chinese population.
PG  - 926-933
LID - 10.1111/1753-0407.12785 [doi]
AB  - BACKGROUND: The current body mass index (BMI) classifications have been 
      established based on the risk of obesity-related conditions, but not specifically 
      on type 2 diabetes mellitus (T2DM). The aim of this study was to identify the 
      optimal BMI cut-off points for assessing incident T2DM risk in the Chinese 
      population. METHODS: The longitudinal study cohort consisted of 8735 non-diabetic 
      participants aged 20-74 years at baseline, with a mean follow-up period of 
      6.0 years. Body mass index, 2-h plasma glucose after a 75-g oral glucose 
      tolerance test, and HbA1c were measured at baseline and follow-up. RESULTS: 
      During the follow-up period, 825 participants were diagnosed with T2DM. In 
      multivariable Cox regression analyses, after adjusting for covariates, a strong 
      positive association between BMI and incident T2DM was found in the whole 
      population; however, when stratified by age groups (20-39, 40-59, and 
      60-74 years), the risk associations between BMI and incident T2DM decreased with 
      increasing age and were no longer evident in the 60-74 years group 
      (P(interaction)  < 0.001). The optimal BMI cut-off points for predicting T2DM 
      risk for men and women were 25.5 and 24.4 kg/m(2) , respectively, in the 
      20-39 years group, and 23.5 and 23.0 kg/m(2) , respectively, in the 40-59 years 
      group. There was no predictive performance of BMI in the 60-74 years group for 
      either sex. CONCLUSIONS: The results suggest that the performance of BMI in 
      predicting T2DM risk was best in subjects of younger age and decreased with age. 
      Age- and sex-specific BMI cut-off points should be considered for T2DM risk 
      stratification in the Chinese population.
CI  - (c) 2018 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John 
      Wiley & Sons Australia, Ltd.
FAU - Ma, Hao
AU  - Ma H
AUID- ORCID: 0000-0003-3323-982X
AD  - The National Key Discipline, Department of Nutrition and Food Hygiene, School of 
      Public Health, Harbin Medical University, Harbin, China.
FAU - Wu, Xiaoyan
AU  - Wu X
AD  - The National Key Discipline, Department of Nutrition and Food Hygiene, School of 
      Public Health, Harbin Medical University, Harbin, China.
FAU - Guo, Xiaoyu
AU  - Guo X
AD  - The National Key Discipline, Department of Nutrition and Food Hygiene, School of 
      Public Health, Harbin Medical University, Harbin, China.
FAU - Yang, Jianjun
AU  - Yang J
AD  - The School of Public Health and Management, Ningxia Medical University, Yinchuan, 
      China.
FAU - Ma, Xiaohui
AU  - Ma X
AD  - The National Key Discipline, Department of Nutrition and Food Hygiene, School of 
      Public Health, Harbin Medical University, Harbin, China.
FAU - Lv, Mengfan
AU  - Lv M
AD  - The National Key Discipline, Department of Nutrition and Food Hygiene, School of 
      Public Health, Harbin Medical University, Harbin, China.
FAU - Li, Ying
AU  - Li Y
AD  - The National Key Discipline, Department of Nutrition and Food Hygiene, School of 
      Public Health, Harbin Medical University, Harbin, China.
LA  - eng
GR  - 81472980/National Natural Science Foundation of China/
GR  - 30181302/Ningxia Medical University/
PT  - Journal Article
DEP - 20180626
PL  - Australia
TA  - J Diabetes
JT  - Journal of diabetes
JID - 101504326
RN  - 0 (Blood Glucose)
SB  - IM
MH  - Adult
MH  - Aged
MH  - Asian People
MH  - Blood Glucose
MH  - *Body Mass Index
MH  - China/epidemiology
MH  - Diabetes Mellitus, Type 2/*epidemiology/physiopathology
MH  - Female
MH  - Health Surveys
MH  - Humans
MH  - Incidence
MH  - Longitudinal Studies
MH  - Male
MH  - Middle Aged
MH  - Risk Factors
MH  - Waist Circumference/*physiology
MH  - Young Adult
OTO - NOTNLM
OT  - body mass index
OT  - diabetes
OT  - longitudinal study
OT  - prediction
OT  - 体质指数
OT  - 糖尿病
OT  - 纵向研究
OT  - 预测
EDAT- 2018/05/29 06:00
MHDA- 2019/01/29 06:00
CRDT- 2018/05/27 06:00
PHST- 2018/02/05 00:00 [received]
PHST- 2018/04/26 00:00 [revised]
PHST- 2018/05/21 00:00 [accepted]
PHST- 2018/05/29 06:00 [pubmed]
PHST- 2019/01/29 06:00 [medline]
PHST- 2018/05/27 06:00 [entrez]
AID - 10.1111/1753-0407.12785 [doi]
PST - ppublish
SO  - J Diabetes. 2018 Dec;10(12):926-933. doi: 10.1111/1753-0407.12785. Epub 2018 Jun 
      26.