Literature DB >> 34742668

Natural histories of metabolite BMI phenotypes and their impacts on cardiovascular disease risk over a decade-long follow-up.

Yaqin Wang1, Xiaoling Zhu1, Zhiheng Chen1, Pingting Yang1, Lei Liu1, Xuelian Liu1, Liuxin Wu2, Qingnan He1, Ying Li3.   

Abstract

PURPOSE: The prognostic significance of obesity phenotypes is under debate, and few studies have characterized their transition trajectories. This study examined the natural courses of different phenotypes and their associations with cardiovascular disease risks.
METHODS: A total of 1827 participants were followed for 14 years and re-evaluated every 4-5 years. Four metabolite BMI phenotypes were determined according to overweight or obesity (BMI ≥ 24 kg/m2) and metabolic health status (≤1 Adult Treatment Panel III criteria, excluding waist circumference). Cardiovascular risks were assessed by evaluating baPWV and hypertension, diabetes and chronic kidney disease (CKD) development.
RESULTS: More than 20% of participants changed their initial phenotypes within 5 years. One-third of healthy overweight/obese (MHO) individuals became unhealthy, and only 10.6% regressed to a healthy normal weight (MHN) at the end of follow-up. Compared with MHN participants, MHO participants had higher odds of increased baPWV (OR: 1.18, 95% CI, 0.42-3.33) and increased risks of incident hypertension (HR: 1.87, 95% CI, 1.18-2.98) and diabetes (HR: 2.61, 95% CI, 1.35-5.03). Metabolic deterioration during follow-up resulted in an increased risk of baPWV and clinical diseases.
CONCLUSIONS: The natural trajectory of metabolite BMI phenotypes is time-varying, and interventions for both healthy and unhealthy overweight/obese individuals should be widely recommended.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  Cardiovascular disease risk; Metabolically healthy; Natural course; Overweight and obese

Mesh:

Year:  2021        PMID: 34742668     DOI: 10.1016/j.orcp.2021.10.002

Source DB:  PubMed          Journal:  Obes Res Clin Pract        ISSN: 1871-403X            Impact factor:   2.288


  3 in total

1.  Metabolically Healthy and Unhealthy Obese Phenotypes among Arabs and South Asians: Prevalence and Relationship with Cardiometabolic Indicators.

Authors:  Victor M Oguoma; Mohamed Abu-Farha; Neil T Coffee; Saad Alsharrah; Faisal H Al-Refaei; Jehad Abubaker; Mark Daniel; Fahd Al-Mulla
Journal:  Nutrients       Date:  2022-02-22       Impact factor: 5.717

2.  Association between metabolic phenotype and urinary albumin-creatinine ratio in Chinese community adults: A cross-sectional study.

Authors:  Yue Zhang; Binqi Li; Yang Liu; Wenxing Gao; Kang Chen; Anping Wang; Xulei Tang; Li Yan; Zuojie Luo; Guijun Qin; Lulu Chen; Qin Wan; Zhengnan Gao; Weiqing Wang; Guang Ning; Yiming Mu
Journal:  J Diabetes       Date:  2022-08       Impact factor: 4.530

3.  Application of a Machine Learning Technology in the Definition of Metabolically Healthy and Unhealthy Status: A Retrospective Study of 2567 Subjects Suffering from Obesity with or without Metabolic Syndrome.

Authors:  Davide Masi; Renata Risi; Filippo Biagi; Daniel Vasquez Barahona; Mikiko Watanabe; Rita Zilich; Gabriele Gabrielli; Pierluigi Santin; Stefania Mariani; Carla Lubrano; Lucio Gnessi
Journal:  Nutrients       Date:  2022-01-15       Impact factor: 5.717

  3 in total

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