中国中老年人群肥胖代谢异质性和转归对心血管疾病发病率的影响:一项全国性前瞻性队列研究。

IF 5.4 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Diabetes, Obesity & Metabolism Pub Date : 2024-11-04 DOI:10.1111/dom.16040
Qiang He, Rujie Zheng, Wenjuan Song, Xiaotong Sun, Chengzhi Lu
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引用次数: 0

摘要

背景:以往的研究表明,肥胖的代谢异质性会影响心血管疾病(CVD)的风险。然而,与肥胖状态影响的各种代谢健康状况之间的转变相关的心血管疾病风险变化仍不清楚:我们利用了中国健康与退休纵向研究(CHARLS)的数据,这是一项涉及 45 岁及以上中国居民的纵向队列研究。基线数据收集于 2011-2012 年,随访调查一直持续到 2020 年。研究参与者被分为四种体重指数-代谢表型:代谢健康正常体重(MHNW)、代谢健康超重/肥胖(MHOO)、代谢不健康正常体重(MUNW)和代谢不健康超重/肥胖(MUOO)。分析了这些表型在 4 年中的变化情况。采用 Cox 回归模型评估这些表型及其转变与心血管疾病发病率的关系:结果:在 7721 名参与者中,有 1353 人(17.5%)在随访期间患上心血管疾病。超重/肥胖和代谢不健康都与心血管疾病风险增加有关。MUOO组的风险最高(危险比 [HR]:1.74,95% 置信区间):1.74,95% 置信区间 [CI]:1.50-2.09, p 结论:该研究强调了保持和促进代谢健康的重要性,尤其是对于超重/肥胖者,以降低心血管疾病风险。在预测心血管疾病发病率方面,代谢健康状况比肥胖状况更重要。
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The impact of metabolic heterogeneity of obesity and transitions on cardiovascular disease incidence in Chinese middle-aged and elderly population: A nationwide prospective cohort study.

Background: Previous studies indicated that metabolic heterogeneity of obesity would affect the risk of cardiovascular disease (CVD). However, the alterations in CVD risk associated with transitions between various metabolic health statuses influenced by obesity status remain unclear.

Methods: We utilized data from the China Health and Retirement Longitudinal Study (CHARLS), a longitudinal cohort study involving Chinese residents aged 45 years and older. Baseline data were collected in 2011-2012, with follow-up surveys conducted up to 2020. Participants in the study were categorized into four body mass index-metabolic phenotypes: metabolically healthy normal weight (MHNW), metabolically healthy overweight/obesity (MHOO), metabolically unhealthy normal weight (MUNW) and metabolically unhealthy overweight/obesity (MUOO). Transitions in these phenotypes over 4 years were analysed. Cox regression models were used to assess the associations of these phenotypes and their transitions with CVD incidence.

Results: Among 7721 participants, 1353 (17.5%) developed CVD during the follow-up period. Both overweight/obese and metabolically unhealthy statuses were associated with increased CVD risk. The highest risk was observed in the MUOO group (hazard ratio [HR]: 1.74, 95% confidence interval [CI]: 1.50-2.09, p < 0.0001), followed by the MUNW (HR 1.35, 95% CI: 1.13-1.66, p < 0.001) and MHOO (HR: 1.29, 95% CI: 1.08-1.56, p = 0.002) groups compared to the MHNW group. The deteriorations of obesity and metabolic health status elevated the incidence of CVD, whereas improvements in these statuses reduced the risk of CVD. Additionally, alterations in metabolic health status conferred greater benefits in overweight/obese individuals compared to those with normal weight.

Conclusion: The study highlights the importance of maintaining and promoting metabolic health, particularly in overweight/obese individuals, to reduce CVD risk. Metabolic health status plays a more crucial role than obesity status in predicting CVD incidence.

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来源期刊
Diabetes, Obesity & Metabolism
Diabetes, Obesity & Metabolism 医学-内分泌学与代谢
CiteScore
10.90
自引率
6.90%
发文量
319
审稿时长
3-8 weeks
期刊介绍: Diabetes, Obesity and Metabolism is primarily a journal of clinical and experimental pharmacology and therapeutics covering the interrelated areas of diabetes, obesity and metabolism. The journal prioritises high-quality original research that reports on the effects of new or existing therapies, including dietary, exercise and lifestyle (non-pharmacological) interventions, in any aspect of metabolic and endocrine disease, either in humans or animal and cellular systems. ‘Metabolism’ may relate to lipids, bone and drug metabolism, or broader aspects of endocrine dysfunction. Preclinical pharmacology, pharmacokinetic studies, meta-analyses and those addressing drug safety and tolerability are also highly suitable for publication in this journal. Original research may be published as a main paper or as a research letter.
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