An exploratory study of associations between sleep timing variability and cardiometabolic health in middle-aged adults with type 2 diabetes mellitus

2022 ◽  
pp. 1-10
Author(s):  
Rachael M. Kelly ◽  
Ultan Healy ◽  
Seamus Sreenan ◽  
John McDermott ◽  
Andrew N. Coogan
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Exploratory Study ◽  
Cardiometabolic Health ◽  
Middle Aged ◽  
Sleep Timing ◽  
Timing Variability ◽  
Middle Aged Adults

scholarly journals Association of Dietary Patterns with Type 2 Diabetes Mellitus among Middle-Aged Adults in Uygur Population of Xinjiang Region

2019 ◽  
Vol 65 (4) ◽  
pp. 362-374 ◽  
Author(s):  
Junxiu CAI ◽  
Rebiya NULI ◽  
Yan ZHANG ◽  
Yangyi ZHANG ◽  
Manfutong ABUDUSEMAITI ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Dietary Patterns ◽  
Middle Aged ◽  
Middle Aged Adults ◽  
Uygur Population

scholarly journals Modifiers of cognitive function and brain structure in middle-aged and elderly individuals with type 2 diabetes mellitus

2009 ◽  
Vol 1280 ◽  
pp. 186-194 ◽  
Author(s):  
Hannah Bruehl ◽  
Oliver T. Wolf ◽  
Victoria Sweat ◽  
Aziz Tirsi ◽  
Stephen Richardson ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cognitive Function ◽  
Brain Structure ◽  
Middle Aged ◽  
Elderly Individuals

scholarly journals Association between Hypertriglyceridemic-Waist Phenotype and Risk of Type 2 Diabetes Mellitus in Middle-Aged and Older Chinese Population: A Longitudinal Cohort Study

2021 ◽  
Vol 18 (18) ◽  
pp. 9618
Author(s):  
Dezhong Chen ◽  
Ziyun Liang ◽  
Huimin Sun ◽  
Ciyong Lu ◽  
Weiqing Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Waist Circumference ◽  
Cohort Analysis ◽  
Current Evidence ◽  
Middle Aged ◽  
Baseline Information ◽  
Older Chinese

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.

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