Research Center in Kinanthropometry and Human Performance. Federal University of Santa Catarina. Florianópolis, SC 88040900, Brazil.
Discipline of General Practice, Adelaide Medical School, The University of Adelaide, Adelaide, SA 5005, Australia.
Appl Physiol Nutr Metab. 2021 Apr;46(4):379-388. doi: 10.1139/apnm-2020-0758.
We aimed to determine cut-points for muscle strength based on metabolic syndrome diagnosis. This cross-sectional analysis comprised data from 2 cohorts in Brazil (EpiFloripa Adult, = 626, 44.0 ± 11.1 years; EpiFloripa Aging, = 365, 71.6 ± 6.1 years). Metabolic syndrome was assessed by relative handgrip strength (kgf/kg). Metabolic syndrome was defined as including ≥3 of the 5 metabolic abnormalities according to the Joint Interim Statement. Optimal cut-points from Receiver Operating Characteristic (ROC) curves were determined. Adjusted logistic regression was used to test the association between metabolic syndrome and the cut-points created. The cut-point identified for muscle strength was 1.07 kgf/kg (Youden index = 0.310; area under the curve (AUC)) = 0.693, 95% CI 0.614-0.764) for men and 0.73 kgf/kg (Youden index = 0.481; AUC = 0.768, 95% confidence interval (CI) = 0.709-0.821) for women (age group 25 to < 50 years). The best cut-points for men and women aged 50+ years were 0.99 kgf/kg (Youden index = 0.312; AUC = 0.651; 95% CI = 0.583-0.714) and 0.58 kgf/kg (Youden index = 0.378; AUC = 0.743; 95% CI = 0.696-0.786), respectively. Cut-points derived from ROC analysis have good discriminatory power for metabolic syndrome among adults aged 25 to <50 years but not for adults aged 50+ years. First-line management recommendation for metabolic syndrome is lifestyle modification, including improvement of muscle strength. Cut-points for muscle strength levels according to sex and age range based on metabolic syndrome were created. Cut-points for muscle strength can assist in the identification of adults at risk for cardiometabolic disease.
我们旨在根据代谢综合征的诊断确定肌肉力量的切点。这项横断面分析包括来自巴西两个队列的数据（EpiFloripa 成人队列，n=626，44.0±11.1 岁；EpiFloripa 老年队列，n=365，71.6±6.1 岁）。代谢综合征通过相对握力（kgf/kg）评估。代谢综合征根据联合临时声明中包含的 5 项代谢异常中的≥3 项来定义。通过接收者操作特征（ROC）曲线确定最佳切点。使用调整后的逻辑回归检验代谢综合征与创建的切点之间的关联。确定的肌肉力量切点为男性 1.07 kgf/kg（Youden 指数=0.310；曲线下面积（AUC）=0.693，95%CI 0.614-0.764）和女性 0.73 kgf/kg（Youden 指数=0.481；AUC=0.768，95%置信区间（CI）=0.709-0.821）（年龄组 25 岁至<50 岁）。对于 50 岁以上的男性和女性，最佳切点分别为 0.99 kgf/kg（Youden 指数=0.312；AUC=0.651；95%CI=0.583-0.714）和 0.58 kgf/kg（Youden 指数=0.378；AUC=0.743；95%CI=0.696-0.786）。ROC 分析得出的切点在 25 岁至<50 岁的成年人中对代谢综合征具有良好的鉴别能力，但在 50 岁以上的成年人中则不然。代谢综合征的一线管理建议是生活方式的改变，包括肌肉力量的改善。根据性别和年龄范围，针对代谢综合征创建了肌肉力量水平的切点。肌肉力量切点可协助识别患心血管代谢疾病风险的成年人。
