身体脂肪指数和锥体指数在预测代谢综合征风险和成分中的作用

IF 1.9 Q3 ENDOCRINOLOGY & METABOLISM
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引用次数: 0

摘要

背景和目的体脂肪指数(BAI)和圆锥指数被认为是预测心血管代谢疾病的有效指标。本研究旨在评估 BAI 和同形指数与体重指数(BMI)、腰围(WC)、臀围(HC)和腰臀比(WHR)相比对代谢综合征(MetS)风险的预测潜力。测量了人体测量参数、收缩压和舒张压(SDP 和 DBP)、血脂和空腹血糖(FBS)。无论是 MetS 还是健康受试者,女性的 BAI 和 BMI 都明显高于男性。在完全调整模型中,BAI 每增加一个单位,MetS 的几率增加 27 %(p = 0.001),BMI 增加 33 %(p = 0.001),WC 增加 13 %(p < 0.001),HC 增加 9 %(p = 0.005)。ROC曲线分析表明,所有人体测量参数在预测MetS方面都具有重要的临床意义,但在所有患者、男性患者和女性患者中,WHR的曲线下面积(AUC)最大。在 MetS 患者中,圆锥指数与 FBS 呈负相关;BAI 与 HDL 水平呈正相关。传统参数,尤其是 WHR,对 MetS 具有更高的预测能力。研究结果表明,在临床和流行病学环境中,传统人体测量参数是可靠的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contribution of body adiposity index and conicity index in prediction of metabolic syndrome risk and components

Background and aims

Body adiposity index (BAI) and conicity index have been known as useful measures in predicting cardio-metabolic diseases. This study aimed to evaluate the predictive potential of BAI and conicity index for the risk of metabolic syndrome (MetS) in comparison with body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-hip ratio (WHR).

Methods

In this cross-sectional study, 174 adults (87 with MetS and 87 healthy individuals) were recruited from a medical weight loss center. Anthropometric parameters, systolic and diastolic blood pressures (SDP and DBP), lipid profile, and fasting blood sugar (FBS) were measured.

Results

All anthropometric parameters were significantly higher in subjects with MetS than in healthy subjects. Both in MetS and healthy subjects, females had significantly higher BAI and BMI than males. In the fully adjusted model, the odds of MetS increased for each unit increase in BAI by 27 % (p = 0.001), in BMI by 33 % (p = 0.001), in WC by 13 % (p < 0.001), and in HC by 9 % (p = 0.005). ROC curve analysis showed that all the anthropometric parameters displayed clinical importance in predicting MetS, but WHR had the largest area under the curve (AUC) in total, male, and female patients. In participants with MetS, the conicity index was negatively correlated with FBS; BAI was positively associated with HDL level.

Conclusion

All studied anthropometric parameters had acceptable accuracy for predicting MetS. Traditional parameters, particularly the WHR, exhibited a higher predictive power concerning MetS. The results underscore the reliability of conventional anthropometric measures in clinical and epidemiological settings.
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来源期刊
Human Nutrition and Metabolism
Human Nutrition and Metabolism Agricultural and Biological Sciences-Food Science
CiteScore
1.50
自引率
0.00%
发文量
30
审稿时长
188 days
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