Literature DB >> 32130460

Transition of metabolic phenotypes and risk of subclinical atherosclerosis according to BMI: a prospective study.

Lin Lin1,2,3, Jie Zhang1,2,3, Lei Jiang1,3, Rui Du1,3, Chunyan Hu1,3, Jieli Lu1,3, Tiange Wang1,3, Mian Li1,3, Zhiyun Zhao1,3, Yu Xu1,3, Min Xu1,3, Yufang Bi1,3, Guang Ning4,5, Weiqing Wang6,7, Yuhong Chen8,9,10.   

Abstract

AIMS/HYPOTHESIS: The cardiometabolic risk associated with metabolically healthy obesity (MHO) remains the subject of debate. It is unclear whether MHO is a transient condition that affects subclinical atherosclerosis risk. In this study, we aimed to investigate the association of MHO and its transition over time with incident subclinical atherosclerosis.
METHODS: A prospective study was conducted with 6220 Chinese adults who were free of cardiovascular disease (CVD) at baseline. Obesity was defined as BMI ≥25.0 kg/m2. Metabolic health was defined as an individual having fewer than two of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (NCEP ATP III) criteria for components of the metabolic syndrome (excluding waist circumference). Subclinical atherosclerosis was measured by brachial-ankle pulse wave velocity, pulse pressure and albuminuria, separately or combined. Participants were cross-classified by BMI categories and by metabolic health status and its transition during follow-up. Inverse probability weighted logistic regression models were used to estimate ORs and 95% CIs for subclinical atherosclerosis.
RESULTS: The MHO phenotype accounted for 16.3% of the total population and 32.8% of the population with obesity at baseline. Baseline MHO was not significantly associated with incident subclinical atherosclerosis. During a follow-up period of 4.4 years, 46.8% of individuals with MHO developed a metabolically unhealthy status. Those with transient MHO had an increased risk of composite subclinical atherosclerosis compared with those in the metabolically healthy non-obesity reference group (OR 2.52 [95% CI 1.89, 3.36]). A transition from metabolically unhealthy to healthy status was shown to decrease the outcome risk. The relationship between BMI and subclinical atherosclerosis was partly mediated by BP and plasma glucose. CONCLUSIONS/
INTERPRETATION: MHO is not a stable condition and transient MHO conferred an increased risk of subclinical atherosclerosis, the early stage of CVD. Hence, individuals may benefit from early behavioural or medical management in order to avoid a deterioration of metabolic status and prevent atherosclerosis and CVD.

Entities:  

Keywords:  Metabolic health; Obesity; Prospective study; Subclinical atherosclerosis

Year:  2020        PMID: 32130460     DOI: 10.1007/s00125-020-05116-5

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  14 in total

1.  Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study.

Authors:  Maoxiang Zhao; Wenjuan Du; Qianqian Zhao; Yating Chen; Bin Li; Zhonghui Xie; Zihao Fu; Nan Zhang; Xiaowei Cheng; Xiaoqian Li; Siyu Yao; Miao Wang; Chi Wang; Shouling Wu; Hao Xue; Yang Li
Journal:  Front Cardiovasc Med       Date:  2022-06-28

2.  Sex differences in cardiometabolic abnormalities in a middle-aged Maltese population.

Authors:  Rachel Agius; Nikolai Paul Pace; Stephen Fava
Journal:  Can J Public Health       Date:  2022-01-10

3.  Lipoprotein(a) and Cardiovascular Outcomes in Patients With Coronary Artery Disease and Different Metabolic Phenotypes.

Authors:  Jing-Lu Jin; Hui-Wen Zhang; Hui-Hui Liu; Cheng-Gang Zhu; Yuan-Lin Guo; Na-Qiong Wu; Rui-Xia Xu; Qian Dong; Jian-Jun Li
Journal:  Front Cardiovasc Med       Date:  2022-05-20

4.  Risk of arterial stiffness according to metabolically healthy obese phenotype: a combined cross-sectional and longitudinal study in kailuan cohort.

Authors:  Anxin Wang; Yu Wang; Yingting Zuo; Xue Tian; Shuohua Chen; Yihan Ma; Xu Han; Shouling Wu; Xingquan Zhao
Journal:  Aging (Albany NY)       Date:  2021-06-03       Impact factor: 5.682

5.  New clusters of serum electrolytes aid in stratification of diabetes and metabolic risk.

Authors:  Yanan Hou; Jiali Xiang; Huajie Dai; Tiange Wang; Mian Li; Hong Lin; Shuangyuan Wang; Yu Xu; Jieli Lu; Yuhong Chen; Weiqing Wang; Guang Ning; Zhiyun Zhao; Yufang Bi; Min Xu
Journal:  J Diabetes       Date:  2021-12-28       Impact factor: 4.530

6.  Effects of time-restricted feeding in weight loss, metabolic syndrome and cardiovascular risk in obese women.

Authors:  Jéssica D Schroder; Hugo Falqueto; Aline Mânica; Daniela Zanini; Tácio de Oliveira; Clodoaldo A de Sá; Andréia Machado Cardoso; Leandro Henrique Manfredi
Journal:  J Transl Med       Date:  2021-01-06       Impact factor: 5.531

7.  Wrist circumference as a novel predictor of transition from metabolically healthy to unhealthy phenotype in overweight/obese adults: a gender-stratified 15.5-year follow-up.

Authors:  Pouria Mousapour; Maryam Barzin; Majid Valizadeh; Maryam Mahdavi; Farzad Hadaegh; Fereidoun Azizi; Farhad Hosseinpanah
Journal:  BMC Public Health       Date:  2021-12-13       Impact factor: 3.295

Review 8.  Metabolically Healthy and Unhealthy Normal Weight and Obesity.

Authors:  Norbert Stefan
Journal:  Endocrinol Metab (Seoul)       Date:  2020-08-20

9.  Transition from metabolically healthy to unhealth status associated with risk of carotid artery plaque in Chinese adults.

Authors:  Tao Tan; Yiquan Zhou; Yanping Wan; Zhuping Fan; Renying Xu; Xiang Gao
Journal:  BMC Cardiovasc Disord       Date:  2021-09-28       Impact factor: 2.298

10.  Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese.

Authors:  Yulin Zhou; Yanan Hou; Min Xu; Zhiyun Zhao; Jiali Xiang; Huajie Dai; Mian Li; Tiange Wang; Shuangyuan Wang; Hong Lin; Jieli Lu; Yu Xu; Yuhong Chen; Weiqing Wang; Yufang Bi
Journal:  Nutr Metab (Lond)       Date:  2021-12-07       Impact factor: 4.169

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