Qin Huang, Zeyu Liu, Minping Wei, Jie Feng, Qing Huang, Yunhai Liu, Zunjing Liu, XiaoJun Li, Li Yin, Jian Xia
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Metabolic health was defined as meeting less than three abnormalities in blood pressure, glucose, high-density lipoprotein cholesterol, triglycerides, or waist circumference. The participants were cross-classified at baseline based on their metabolic health and obesity. In addition, the relationship between atherosclerosis and transitions in metabolic health status based on 4733 participants from baseline to the second survey after 2 years was considered. The relationship between metabolic health status and the risk of transition to Carotid atherosclerosis (CA) was assessed using logistic regression and Cox proportional hazards regression analyses.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>In this study, the mean age of the participants was 60.7 years (standard deviation [SD], 10.91), 53.0% were female, and 51.2% had CA. As compared with metabolically healthy normal weight (MHN), those with MHO phenotype (odd ratio [OR] 1.10, 95% confidence interval [CI] 1.02–1.21), metabolically unhealthy normal weight (OR 1.27, 95% CI 1.19–1.35), metabolically unhealthy overweight (OR 1.41, 95% CI 1.33–1.48), and metabolically unhealthy obese (OR 1.54, 95% CI 1.44–1.64) had higher risk for CA. However, during the follow-up of 2 years, almost 33% of the participants transitioned to a metabolically unhealthy status. As compared with stable healthy normal weight, transition from metabolically healthy to unhealthy status (hazard ratios [HR] 1.21, 95% [CI] 1.02–1.43) and stable metabolically unhealthy overweight or obesity (MUOO) (HR 1.32, 95% CI 1.17–1.48) were associated with higher risk of CA.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>In the community population, obesity remains a risk factor for CA despite metabolic health. However, the risks were highest for metabolically unhealthy status across all BMI categories. A large proportion of metabolically healthy overweight or participants with obesity converts to an unhealthy phenotype over time, which is associated with an increased risk of CA.</p>\n </section>\n </div>","PeriodicalId":11335,"journal":{"name":"Diabetes/Metabolism Research and Reviews","volume":"40 2","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dmrr.3766","citationCount":"0","resultStr":"{\"title\":\"Metabolically healthy obesity, transition from metabolic healthy to unhealthy status, and carotid atherosclerosis\",\"authors\":\"Qin Huang, Zeyu Liu, Minping Wei, Jie Feng, Qing Huang, Yunhai Liu, Zunjing Liu, XiaoJun Li, Li Yin, Jian Xia\",\"doi\":\"10.1002/dmrr.3766\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Evidence of the effects of metabolically healthy obesity (MHO) on atherosclerosis is limited; the transition effects of metabolic health and obesity phenotypes have been ignored. 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引用次数: 0
摘要
背景:代谢健康肥胖(MHO)对动脉粥样硬化影响的证据有限;代谢健康和肥胖表型的过渡效应一直被忽视。我们研究了社区人群中不同体重指数(BMI)类别的代谢健康与动脉粥样硬化风险过渡之间的关系:这项横断面研究基于一项全国代表性调查,包括 50,885 名年龄≥40 岁的社区参与者。研究于 2017 年 12 月 1 日至 2020 年 12 月 31 日在湖南 13 个城市和 13 个农村地区进行。代谢健康的定义是血压、血糖、高密度脂蛋白胆固醇、甘油三酯或腰围异常少于三次。根据代谢健康和肥胖情况,参与者在基线时被交叉分类。此外,根据 4733 名参与者从基线到 2 年后第二次调查的代谢健康状况,考虑了动脉粥样硬化与代谢健康状况转变之间的关系。采用逻辑回归和考克斯比例危险回归分析评估了代谢健康状况与颈动脉粥样硬化(CA)转变风险之间的关系:在这项研究中,参与者的平均年龄为 60.7 岁(标准差 [SD],10.91),53.0% 为女性,51.2% 患有 CA。与代谢健康正常体重(MHN)者相比,MHO表型(奇数比[OR]1.10,95% 置信区间[CI]1.02-1.21)、代谢不健康正常体重(OR 1.27,95% CI 1.19-1.35)、代谢不健康超重(OR 1.41,95% CI 1.33-1.48)和代谢不健康肥胖(OR 1.54,95% CI 1.44-1.64)者患CA的风险更高。然而,在 2 年的随访期间,近 33% 的参与者转为代谢不健康状态。与稳定的健康正常体重相比,从代谢健康状态转变为不健康状态(危险比 [HR] 1.21,95% [CI]1.02-1.43)和稳定的代谢不健康超重或肥胖(MUOO)(危险比 1.32,95% CI 1.17-1.48)与较高的 CA 风险相关:结论:在社区人群中,尽管代谢健康,肥胖仍然是CA的一个风险因素。结论:在社区人群中,尽管代谢健康,但肥胖仍然是诱发 CA 的风险因素。然而,在所有 BMI 类别中,代谢不健康的风险最高。大部分代谢健康的超重者或肥胖参与者随着时间的推移会转变为不健康的表型,这与 CA 风险的增加有关。
Metabolically healthy obesity, transition from metabolic healthy to unhealthy status, and carotid atherosclerosis
Background
Evidence of the effects of metabolically healthy obesity (MHO) on atherosclerosis is limited; the transition effects of metabolic health and obesity phenotypes have been ignored. We examined the association between metabolic health and the transition to atherosclerosis risk across body mass index (BMI) categories in a community population.
Methods
This cross-sectional study was based on a national representative survey that included 50,885 community participants aged ≥40 years. It was conducted from 01 December 2017 to 31 December 2020, in 13 urban and 13 rural regions across Hunan China. Metabolic health was defined as meeting less than three abnormalities in blood pressure, glucose, high-density lipoprotein cholesterol, triglycerides, or waist circumference. The participants were cross-classified at baseline based on their metabolic health and obesity. In addition, the relationship between atherosclerosis and transitions in metabolic health status based on 4733 participants from baseline to the second survey after 2 years was considered. The relationship between metabolic health status and the risk of transition to Carotid atherosclerosis (CA) was assessed using logistic regression and Cox proportional hazards regression analyses.
Results
In this study, the mean age of the participants was 60.7 years (standard deviation [SD], 10.91), 53.0% were female, and 51.2% had CA. As compared with metabolically healthy normal weight (MHN), those with MHO phenotype (odd ratio [OR] 1.10, 95% confidence interval [CI] 1.02–1.21), metabolically unhealthy normal weight (OR 1.27, 95% CI 1.19–1.35), metabolically unhealthy overweight (OR 1.41, 95% CI 1.33–1.48), and metabolically unhealthy obese (OR 1.54, 95% CI 1.44–1.64) had higher risk for CA. However, during the follow-up of 2 years, almost 33% of the participants transitioned to a metabolically unhealthy status. As compared with stable healthy normal weight, transition from metabolically healthy to unhealthy status (hazard ratios [HR] 1.21, 95% [CI] 1.02–1.43) and stable metabolically unhealthy overweight or obesity (MUOO) (HR 1.32, 95% CI 1.17–1.48) were associated with higher risk of CA.
Conclusions
In the community population, obesity remains a risk factor for CA despite metabolic health. However, the risks were highest for metabolically unhealthy status across all BMI categories. A large proportion of metabolically healthy overweight or participants with obesity converts to an unhealthy phenotype over time, which is associated with an increased risk of CA.
期刊介绍:
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