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使用时变和时不变方法研究肥胖表型与心血管疾病风险的关联:一项18年随访队列研究。

The association of obesity phenotypes and risk of cardiovascular disease using time-varying and time-invariant approaches: An 18-year follow-up cohort study.

作者信息

Kokabeh Fatemeh, Bahadoran Zahra, Mahdavi Maryam, Valizadeh Majid, Barzin Maryam, Azizi Fereidoun, Hosseinpanah Farhad

机构信息

Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Micronutrient Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

Nutr Metab Cardiovasc Dis. 2025 Jan;35(1):103755. doi: 10.1016/j.numecd.2024.09.025. Epub 2024 Sep 27.

Abstract

BACKGROUND AND AIM

Our aim was risk estimation for cardiovascular disease (CVD) across obesity phenotypes over 18 years of follow-up using both time-invariant and time-varying approaches.

METHODS AND RESULTS

This prospective cohort study included 9752 participants aged ≥30 years examined in the first and second phases of the Tehran Lipid and Glucose Study (1999-2001 and 2002-2005). Six phenotypes [i.e., metabolically healthy normal weight (MHNW), overweight (MHOW), and obese (MHO), as well as metabolically unhealthy normal weight (MUNW), overweight (MUOW), and obese (MUO)] were defined based on the body mass index (BMI) and metabolic status. Incident CVD was documented until March 2018. Time-invariant and time-varying Cox regression models were used to estimate CVD hazard ratio (HRs) for obesity phenotypes. Mean age of the participants was 46.6 ± 12.0 years, and 53.9 % of them were women. During 18 years of follow-up, 1083 new CVD events occurred. In metabolically unhealthy individuals, but not metabolically healthy people, multivariable-adjusted HRs for CVD events increased by BMI according to time-varying (HR = 1.6, 95 % CI = 1.13-2.26 for MUNW; HR = 1.92, 95 % CI = 1.43-2.58 for MUOW; HR = 1.94, 95 % CI = 1.4-2.68 for MUO) and time-invariant (HR = 1.85, 95 % CI = 1.01-3.39 for MUNW; HR = 2.75, 95 % CI = 1.63-4.63 for MUOW, and HR = 3.26, 95 % CI = 1.95-5.47 for MUO) models.

CONCLUSION

Metabolically unhealthy overweight and obese individuals are at increased risk of CVD and should be regularly screened to prevent possible cardiovascular events.

摘要

背景与目的

我们的目的是采用时间不变和时间变化方法,对18年随访期间不同肥胖表型的心血管疾病(CVD)风险进行评估。

方法与结果

这项前瞻性队列研究纳入了9752名年龄≥30岁的参与者,这些参与者在德黑兰血脂与血糖研究的第一阶段和第二阶段(1999 - 2001年和2002 - 2005年)接受了检查。根据体重指数(BMI)和代谢状况定义了六种表型[即代谢健康正常体重(MHNW)、超重(MHOW)和肥胖(MHO),以及代谢不健康正常体重(MUNW)、超重(MUOW)和肥胖(MUO)]。记录截至2018年3月的新发CVD情况。采用时间不变和时间变化的Cox回归模型来估计肥胖表型的CVD风险比(HRs)。参与者的平均年龄为46.6±12.0岁,其中53.9%为女性。在18年的随访期间,发生了1083例新发CVD事件。在代谢不健康个体而非代谢健康个体中,根据时间变化模型(MUNW的HR = 1.6,95%CI = 1.13 - 2.26;MUOW的HR = 1.92,95%CI = 1.43 - 2.58;MUO的HR = 1.94,95%CI = 1.4 - 2.68)和时间不变模型(MUNW的HR = 1.85,95%CI = 1.01 - 3.39;MUOW的HR = 2.75,95%CI = 1.63 - 4.63;MUO的HR = 3.26,95%CI = 1.95 - 5.47),CVD事件的多变量调整HRs随BMI增加。

结论

代谢不健康的超重和肥胖个体发生CVD的风险增加,应定期进行筛查以预防可能的心血管事件。

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