scholarly journals Optimal Waist Circumference Measurement Site For Assessing Metabolic and Type 2 Diabetes Risk in Middle-Aged Adults.

2015 ◽  
Vol 44 (suppl_1) ◽  
pp. i150-i150
Author(s):  
S. R. Millar ◽  
J. V. D. Broeck ◽  
I. J. Perry ◽  
C. M. Phillips
PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0129088 ◽  
Author(s):  
Seán R. Millar ◽  
Ivan J. Perry ◽  
Jan Van den Broeck ◽  
Catherine M. Phillips

2020 ◽  
Vol 12 (9) ◽  
pp. 677-685
Author(s):  
Mikako Yasuoka ◽  
Isao Muraki ◽  
Hironori Imano ◽  
Hiroshige Jinnouchi ◽  
Yasuhiko Kubota ◽  
...  

Author(s):  
Joshua I. Barzilay ◽  
Naji Younes ◽  
Rodica Pop-Busui ◽  
Hermes Florez ◽  
Elizabeth Seaquist ◽  
...  

Author(s):  
Dezhong Chen ◽  
Ziyun Liang ◽  
Huimin Sun ◽  
Ciyong Lu ◽  
Weiqing Chen ◽  
...  

Current evidence remains inconsistent with regard to the association between different triglyceridemic-waist phenotypes and the risks for type 2 diabetes mellitus (T2DM). We aimed to investigate this association among a retrospective cohort analysis of 6918 participants aged ≥ 45 years in the China Health and Retirement Longitudinal Study (CHARLS). Participants were categorized into four triglyceridemic-waist phenotypes consisting of NWNT (normal waist circumference and normal triglycerides), NWHT (normal waist circumference and high triglycerides), EWNT (enlarged waist circumference and normal triglycerides), and EWHT (enlarged waist circumference and high triglycerides) based on participants’ baseline information. Multivariate log-binomial regression was used to assess the T2DM risk in different phenotypes. Subgroup analysis was conducted to test the robustness of the findings. After 4-years of follow-up, participants with EWHT (Relative Risk [RR]: 1.909, 95% Confidence Interval [CI]: 1.499 to 2.447) or EWNT (RR: 1.580, 95%CI: 1.265 to 1.972) phenotypes had significantly higher likelihood of incident T2DM compared to the NWNT phenotype, whereas the association was not significant for the NWHT phenotype (RR: 1.063, 95%CI: 0.793 to 1.425). The subgroup analyses generally revealed similar associations across all subgroups. Among middle-aged and older adults, we suggested a combined use of waist circumference and triglycerides measures in identifying participants who are at high risk of developing T2DM.


2016 ◽  
Vol 115 (9) ◽  
pp. 1632-1642 ◽  
Author(s):  
Silvia Pastorino ◽  
Marcus Richards ◽  
Mary Pierce ◽  
Gina L. Ambrosini

AbstractThe combined association of dietary fat, glycaemic index (GI) and fibre with type 2 diabetes has rarely been investigated. The objective was to examine the relationship between a high-fat, high-GI, low-fibre dietary pattern across adult life and type 2 diabetes risk using reduced rank regression. Data were from the MRC National Survey of Health and Development. Repeated measures of dietary intake estimated using 5-d diet diaries were available at the age of 36, 43 and 53 years for 1180 study members. Associations between dietary pattern scores at each age, as well as longitudinal changes in dietary pattern z-scores, and type 2 diabetes incidence (n 106) from 53 to 60–64 years were analysed. The high-fat, high-GI, low-fibre dietary pattern was characterised by low intakes of fruit, vegetables, low-fat dairy products and whole-grain cereals, and high intakes of white bread, fried potatoes, processed meat and animal fats. There was an increasing trend in OR for type 2 diabetes with increasing quintile of dietary pattern z-scores at the age of 43 years among women but not among men. Women in the highest z-score quintile at the age of 43 years had an OR for type 2 diabetes of 5·45 (95 % CI 2·01, 14·79). Long-term increases in this dietary pattern, independently of BMI and waist circumference, were also detrimental among women: for each 1 sd unit increase in dietary pattern z-score between 36 and 53 years, the OR for type 2 diabetes was 1·67 (95 % CI 1·20, 2·43) independently of changes in BMI and waist circumference in the same periods. A high-fat, high-GI, low-fibre dietary pattern was associated with increased type 2 diabetes risk in middle-aged British women but not in men.


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