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首页> 外文期刊>Archivos Latinoamericanos de Nutricion >Waist and body mass index: The best anthropometric predictors in the reduction and progression of the aggregation of cardiometabolic risk factors
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Waist and body mass index: The best anthropometric predictors in the reduction and progression of the aggregation of cardiometabolic risk factors

机译：腰部和体重指数：最佳的人体计量预测因子减少和进展的心细镜危险因素的聚集

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The objective of this study was to determine the impact of variation of different anthropometric parameters at follow-up in the evolution of the metabolic syndrome (MetS). Prospective study in 178 subjects who attended a cardiovascular health program between 2013 and 2016. Demographical data, medical history and cardiovascular (CV) risk factors (RFs) were collected. In addition, fasting lipid profile, blood glucose, blood pressure and anthropometrical parameters (BMI, WC, hip, and fat percentage) were measured. To determine the evolution of MetS, the clustering of 2 or more of the MetS components were considered, excluding WC. Odds proportional models adjusted by age, sex and time of follow-up were built to determine the probability of reverting the MetS. MetS reversion was considered as the reduction to 1 or 0 components in subjects with 2 or more. Mean follow-up time was 2 years. Mean age was 40 years old and 37% were women. According to the odds proportional models, subjects tripled their chance of reverting MetS for each 1 kg/m(2) of BMI reduction (ORBMI=3.03; 1.74-5.28; p0.001). For WC, the chance of reverting MetS increased 52% for each reduction of 1 cm of waist (ORwaist =1.52; 1.28-1.81; p0.001). A reduction of 0.01 in the waist to hip ratio increased in 26% the chance of reverting MetS (ORwaist/hip=1.26; 1.06-1.491; p0.01); however, fat percentage did not have a significant effect on the evolution of the MetS. BMI and WC are the most reliable anthropometrical parameters for monitoring the evolution of MetS aggregation in the out-patient clinical setting.
机译：本研究的目的是确定不同人类测量参数变异在代谢综合征（METS）的演变中的随访中的影响。在2013年和2016年之间参加了178名受试者的前瞻性研究。收集了人口统计数据，病史和心血管（CV）风险因素（RFS）。另外，测量空腹血脂型材，血糖，血压和蒽型参数（BMI，WC，HIP和脂肪率）。为了确定Met的演变，考虑了2个或更多Mets组分的聚类，不包括WC。由年龄，性别和随访时间调整的赔率比例模型是为了确定恢复MET的可能性。 Mets Refersion被认为是2或更多的受试者中的1或0分量的减少。平均随访时间为2年。平均年龄40岁，37％是女性。根据比例模型的赔率，受试者对BMI减少的每1kg / m（2）（Orbmi = 3.03; 1.74-5.28; p <0.001）增加了其每次1kg / m（2）的机会的机会。对于WC，每次减少1厘米的腰部（ORWAIST = 1.52; 1.28-1.81; P <0.001）增加了52％的机会增加了52％。腰部的腰部减少0.01，臀部比率增加了26％的恢复机构的可能性（Orwaist / Hip = 1.26; 1.06-1.491; P <0.01）;然而，脂肪百分比对Mets的演变没有显着影响。 BMI和WC是最可靠的人力测量参数，用于监测出在患者临床环境中的METS聚集的演变。

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