Literature DB >> 29717276

Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study.

Takuro Okamura1, Yoshitaka Hashimoto1, Masahide Hamaguchi2, Akihiro Obora3, Takao Kojima3, Michiaki Fukui1.   

Abstract

OBJECTIVES: Obesity is a risk factor for type 2 diabetes mellitus. Among obesity, visceral fat obesity, and ectopic fat obesity, it has been unclear which has the greatest effect on incident diabetes.
METHODS: In this historical cohort study of 8430 men and 7034 women, we investigated the effect of obesity phenotypes on incident diabetes. Obesity, visceral fat obesity, and ectopic fat obesity were defined as body mass index ≥25 kg/m2, waist circumference ≥90 cm in men or ≥80 cm in women, and having fatty liver diagnosed by abdominal ultrasonography, respectively. We divided the participants into eight groups according to the presence or absence of the three obesity phenotypes.
RESULTS: During the median 5.8 years follow-up for men and 5.1 years follow-up for women, 286 men and 87 women developed diabetes. Compared to the non-obese group, the hazard ratios (HRs) of incident diabetes in the only-obesity, only-visceral fat obesity, only-ectopic fat obesity groups, and with all-three types of obesity group were 1.85 (95%CI 1.06-3.26, p = 0.05) in men and 1.79 (0.24-13.21, p = 0.60) in women, 3.41 (2.51-4.64, p < 0.001) in men and 2.30 (0.87-6.05, p = 0.12) in women, 4.74 (1.91-11.70, p < 0.001) in men and 13.99 (7.23-27.09, p < 0.001) in women and 10.5 (8.02-13.8, p < 0.001) in men and 30.0 (18.0-50.0, p < 0.001) in women. Moreover, the risk of incident diabetes of the groups with ectopic fat obesity were almost higher than that of the four groups without ectopic fat obesity.
CONCLUSION: Ectopic fat obesity presented the greatest risk of incident type 2 diabetes.

Entities:  

Year:  2018        PMID: 29717276     DOI: 10.1038/s41366-018-0076-3

Source DB:  PubMed          Journal:  Int J Obes (Lond)        ISSN: 0307-0565            Impact factor:   5.095


  67 in total

1.  Establishment and validation of a nomogram that predicts the risk of type 2 diabetes in obese patients with non-alcoholic fatty liver disease: a longitudinal observational study.

Authors:  Xintian Cai; Mengru Wang; Shasha Liu; Yujuan Yuan; Junli Hu; Qing Zhu; Jing Hong; Guzailinuer Tuerxun; Huimin Ma; Nanfang Li
Journal:  Am J Transl Res       Date:  2022-07-15       Impact factor: 3.940

2.  Combined Effect of Smoking and Fatty Liver Disease on the Progression of Type 2 Diabetes: Insights from a Population-Based Cohort Study.

Authors:  Tingting Zhang; Donghe Zhang; Jing Zeng; Yan Yang; Yi Fang; Xuan Wang
Journal:  Comput Math Methods Med       Date:  2022-07-09       Impact factor: 2.809

3.  Non-linear relationship between high-density lipoprotein cholesterol and incident diabetes mellitus: a secondary retrospective analysis based on a Japanese cohort study.

Authors:  Changchun Cao; Haofei Hu; Xiaodan Zheng; Xiaohua Zhang; Yulong Wang; Yongcheng He
Journal:  BMC Endocr Disord       Date:  2022-06-18       Impact factor: 3.263

4.  Abdominal obesity phenotypes are associated with the risk of developing non-alcoholic fatty liver disease: insights from the general population.

Authors:  Maobin Kuang; Song Lu; Qiyang Xie; Nan Peng; Shiming He; Changhui Yu; Jiajun Qiu; Guotai Sheng; Yang Zou
Journal:  BMC Gastroenterol       Date:  2022-06-25       Impact factor: 2.847

5.  The value of combining the simple anthropometric obesity parameters, Body Mass Index (BMI) and a Body Shape Index (ABSI), to assess the risk of non-alcoholic fatty liver disease.

Authors:  Maobin Kuang; Guotai Sheng; Chong Hu; Song Lu; Nan Peng; Yang Zou
Journal:  Lipids Health Dis       Date:  2022-10-20       Impact factor: 4.315

6.  Adiposity measures and pre-diabetes or diabetes in adults with hypertension in Singapore polyclinics.

Authors:  Yeli Wang; Rupesh M Shirore; Chandrika Ramakrishnan; Ngiap Chuan Tan; Tazeen H Jafar
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-06-21       Impact factor: 3.738

7.  Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabetes in Non-Obese Adults: A Population-Based Cohort Study.

Authors:  Xin-Tian Cai; Li-Wei Ji; Sha-Sha Liu; Meng-Ru Wang; Mulalibieke Heizhati; Nan-Fang Li
Journal:  Diabetes Metab Syndr Obes       Date:  2021-05-11       Impact factor: 3.168

Review 8.  The role of the androgen receptor in the pathogenesis of obesity and its utility as a target for obesity treatments.

Authors:  Varun S Venkatesh; Mathis Grossmann; Jeffrey D Zajac; Rachel A Davey
Journal:  Obes Rev       Date:  2022-01-27       Impact factor: 10.867

9.  Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults.

Authors:  Yang Wu; Haofei Hu; Jinlin Cai; Runtian Chen; Xin Zuo; Heng Cheng; Dewen Yan
Journal:  Front Public Health       Date:  2021-06-29

10.  Association between nonalcoholic fatty liver disease and incident diabetes mellitus among Japanese: a retrospective cohort study using propensity score matching.

Authors:  Xiaodan Zheng; Changchun Cao; Yongcheng He; Xinyu Wang; Jun Wu; Haofei Hu
Journal:  Lipids Health Dis       Date:  2021-06-15       Impact factor: 3.876

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