Association of metabolic score for visceral fat with all-cause mortality, cardiovascular mortality, and cancer mortality: A prospective cohort study

IF 5.4 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Shanshan Jia PhD, Xingwei Huo PhD, Xianghao Zuo PhD, Liming Zhao MMed, Lu Liu PhD, Lirong Sun MMed, Xiaoping Chen MMed
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引用次数: 0

Abstract

Aim

Our study aimed to evaluate the association between the metabolic score for visceral fat (METS-VF) and mortality.

Methods

We conducted a cohort study comprising 11,120 participants. We employed weighted multivariable Cox regression analysis to assess the relationship between METS-VF and mortality. Restricted cubic spline analyses were used to investigate potential non-linear associations. Receiver operating characteristic curves were used to evaluate the predictive value of METS-VF and other obesity-related indicators for mortality. Subgroup analysis and sensitivity analysis were performed to confirm the robustness of the results. Mendelian randomization analysis was utilized to assess potential causality.

Results

Over a median follow-up duration of 83 months, a total of 1014 all-cause deaths, 301 cardiovascular deaths, and 262 cancer deaths occurred. For every 0.2-unit increase in METS-VF, the hazard ratios(HRs) of all-cause mortality, cardiovascular mortality, and cancer mortality were 1.13 [95% confidence interval (CI): 1.06, 1.20], 1.18 (95% CI: 1.06, 1.31), and 1.13 (95% CI: 1.03, 1.25), respectively. In addition, restricted cubic spline analyses revealed no significant non-linear associations between METS-VF and all-cause mortality, cardiovascular mortality, and cancer mortality. In multivariate Cox regression models, hazard ratios of all-cause mortality, cardiovascular mortality and cancer mortality were higher in the highest METS-VF group compared to the reference group. Subgroup and sensitivity analyses confirmed that our results were robust. Receiver operating characteristic curves indicated that METS-VF predicted mortality better than other obesity-related indicators. Mendelian randomization analysis confirmed significant causal relationships.

Conclusions

METS-VF was positively associated with all-cause mortality, cardiovascular mortality, and cancer mortality. These findings suggest that METS-VF could serve as a straightforward, reliable, and cost-effective marker for identifying individuals at high risk of mortality.

内脏脂肪代谢评分与全因死亡率、心血管死亡率和癌症死亡率的关系:一项前瞻性队列研究。
目的:我们的研究旨在评估内脏脂肪代谢评分(METS-VF)与死亡率之间的关系:我们进行了一项由 11120 名参与者组成的队列研究。我们采用加权多变量 Cox 回归分析来评估 METS-VF 与死亡率之间的关系。限制立方样条分析用于研究潜在的非线性关系。受体操作特征曲线用于评估 METS-VF 和其他肥胖相关指标对死亡率的预测价值。进行了分组分析和敏感性分析,以确认结果的稳健性。采用孟德尔随机分析法评估潜在的因果关系:中位随访时间为 83 个月,共有 1014 例全因死亡、301 例心血管疾病死亡和 262 例癌症死亡。METS-VF 每增加 0.2 个单位,全因死亡率、心血管死亡率和癌症死亡率的危险比(HRs)分别为 1.13 [95% 置信区间 (CI):1.06, 1.20]、1.18 (95% CI:1.06, 1.31) 和 1.13 (95% CI:1.03, 1.25)。此外,限制性三次样条分析显示,METS-VF 与全因死亡率、心血管死亡率和癌症死亡率之间没有显著的非线性关联。在多变量 Cox 回归模型中,与参照组相比,METS-VF 最高组的全因死亡率、心血管死亡率和癌症死亡率的危险比更高。亚组和敏感性分析证实我们的结果是可靠的。接收者操作特征曲线显示,METS-VF 预测死亡率的效果优于其他肥胖相关指标。孟德尔随机分析证实了两者之间存在显著的因果关系:结论:METS-VF 与全因死亡率、心血管死亡率和癌症死亡率呈正相关。这些研究结果表明,METS-VF 可作为一种直接、可靠且经济有效的指标,用于识别高死亡率风险人群。
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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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