Literature DB >> 25575429

Anthropometrics indices of obesity, and all-cause and cardiovascular disease-related mortality, in an Asian cohort with type 2 diabetes mellitus.

R B T Lim1, C Chen2, N Naidoo2, G Gay2, W E Tang3, D Seah3, R Chen4, N C Tan5, J Lee2, E S Tai2, K S Chia2, W Y Lim2.   

Abstract

AIM: The study investigated the relationship of general (body mass index [BMI]) and central (waist circumference [WC]; waist-hip ratio [WHipR]; waist-height ratio [WHeightR]) adiposity with all-cause and cardiovascular disease (CVD)-related mortality in an Asian population with diabetes.
METHODS: A total of 13,278 participants with type 2 diabetes mellitus (T2DM) recruited from public-sector primary-care and specialist outpatients clinics in Singapore were followed-up for a median duration of 2.9 years, during which time there were 524 deaths. Cox proportional-hazards regression and competing-risk models were used to obtain hazard ratios (HRs) for anthropometric variables of all-cause and CVD-related mortality.
RESULTS: After adjusting for BMI, the highest quintiles of WC, WHipR and WHeightR were all positively associated with mortality compared with the lowest quintiles, with WHeightR exhibiting the largest effect sizes [all-cause mortality HR: 2.13, 95% confidence interval (CI): 1.33-3.42; CVD-related mortality HR: 3.42, 95% CI: 1.62-7.19]. Being overweight but not obese (BMI:≥23.0 but<27.5kg/m(2)) was associated with a decreased risk of CVD-related mortality in those aged≥65 years (HR: 0.47, 95% CI: 0.29-0.75), but not in those aged<65 years (HR: 1.11, 95% CI: 0.49-2.50).
CONCLUSION: Overweight, but not obesity, was associated with a reduction in risk of mortality. This was seen in T2DM patients aged≥65 years, but not in those younger than this. At the same BMI, having higher central-obesity indices such as WC, WHipR and WHeightR also increased the risk of mortality.
Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Anthropometric indices; Central obesity; Diabetes mellitus; Obesity; Short-term mortality

Mesh:

Year:  2015        PMID: 25575429     DOI: 10.1016/j.diabet.2014.12.003

Source DB:  PubMed          Journal:  Diabetes Metab        ISSN: 1262-3636            Impact factor:   6.041


  7 in total

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2.  Correlates, Facilitators and Barriers of Healthy Eating Among Primary Care Patients with Prediabetes in Singapore-A Mixed Methods Approach.

Authors:  Raymond Boon Tar Lim; Wei Keong Wee; Wei Chek For; Jayalakshmy Aarthi Ananthanarayanan; Ying Hua Soh; Lynette Mei Lim Goh; Dede Kam Tyng Tham; Mee Lian Wong
Journal:  Nutrients       Date:  2019-05-06       Impact factor: 5.717

3.  Correlates, facilitators and barriers of physical activity among primary care patients with prediabetes in Singapore - a mixed methods approach.

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Journal:  BMC Public Health       Date:  2020-01-02       Impact factor: 3.295

4.  Comparison of different obesity indices associated with type 2 diabetes mellitus among different sex and age groups in Nantong, China: a cross-section study.

Authors:  Qiwei Ge; Min Li; Zhengcheng Xu; Zhigang Qi; Huiyan Zheng; Yuxin Cao; Hao Huang; Xiaoyang Duan; Xun Zhuang
Journal:  BMC Geriatr       Date:  2022-01-03       Impact factor: 3.921

5.  Associations of BMI with all-cause mortality in normoglycemia, impaired fasting glucose and type 2 diabetes mellitus among an elderly Chinese population: a cohort study.

Authors:  Rui Song; Xuejiao Chen; Kun He; Xueqi Hu; Kaizhi Bai; Wenlong Shi; Songhe Shi
Journal:  BMC Geriatr       Date:  2022-08-21       Impact factor: 4.070

6.  Sensitivity of various adiposity indices in identifying cardiometabolic diseases in Arab adults.

Authors:  Nasser M Al-Daghri; Omar S Al-Attas; Kaiser Wani; Abdullah M Alnaami; Shaun Sabico; Abdulrahman Al-Ajlan; George P Chrousos; Majed S Alokail
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Review 7.  Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment.

Authors:  Wesley Tay; Bhupinder Kaur; Rina Quek; Joseph Lim; Christiani Jeyakumar Henry
Journal:  Nutrients       Date:  2020-04-22       Impact factor: 5.717

  7 in total

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