Syndy Guarin-Rivera, J Utria-Munive, K Estrada-Orozco
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Sensitivity (Se), specificity (Sp) and accuracy of the US Army (E1), Deurenberg (E2), CUN-BAE (E3) and Woolcott (E4) equations were calculated, using bioelectrical impedance analysis (BIA) as reference standard. For test-retest and inter-rater reliability, kappa and weighted kappa were used.</p><p><strong>Results: </strong>Of the total participants, 92% were men, with a median age of 35 years in men and 33 years in women. 65.4% were physically active (150 min per week). Diagnostic accuracy demonstrated the following performance in obesity classification for the equation used in the US military (Se: 100%, Sp: 88.1%; 95% CI 85.3% to 90.6%), E2 (Se: 91.6%; 95% CI 87.5% to 94.7%, Sp: 86.6%; 95% CI 83.7% to 89.3%), E3 (Se: 96.8%; 95% CI 93.8% to 98.6% Sp: 67.9%; 95% CI 64% to 71.7%) and E4 (Se: 96.4%; 95% CI 93.3% to 98.3%, Sp: 57.9%; 95% CI 53.9% to 61.9%). For overweight classification, performance was found in E2 (Se: 71.5%; 95% CI 66.3% to 76.3%, Sp: 72.3%; 95% CI 68.2% to 76.1%) and E3 (Se: 47.9%; 95% CI 42.4% to 53.4%, Sp: 73.8%; 95% CI 69.8% to 77.6%). For normweight classification, E2 was found to perform (Se: 50.2%; 95% CI 44.1% to 56.3%, Sp: 95.7%; 95% CI 93.7% to 97.2%) and E3 (Se: 42.8%; 95% CI 36.8% to 48.9%, Sp: 98.8%; 95% CI 97.5% to 99.5%). For all equations, their reliability is excellent.</p><p><strong>Conclusions: </strong>The US Army equation, when applied to the Colombian military population, presents greater accuracy for classifying obesity when compared to BIA. 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Accurate assessment of body fat and muscle mass is essential for identifying health risks, such as chronic diseases, and for improving soldiers' physical capabilities.</p><p><strong>Methods: </strong>Study of diagnostic accuracy and reliability. A total of 947 adults belonging to the military forces in Colombia were included through consecutive sampling. People with the whole spectrum of body composition (normal weight, overweight and obesity) participated, recreating their prevalence in the Colombian population. Sensitivity (Se), specificity (Sp) and accuracy of the US Army (E1), Deurenberg (E2), CUN-BAE (E3) and Woolcott (E4) equations were calculated, using bioelectrical impedance analysis (BIA) as reference standard. For test-retest and inter-rater reliability, kappa and weighted kappa were used.</p><p><strong>Results: </strong>Of the total participants, 92% were men, with a median age of 35 years in men and 33 years in women. 65.4% were physically active (150 min per week). Diagnostic accuracy demonstrated the following performance in obesity classification for the equation used in the US military (Se: 100%, Sp: 88.1%; 95% CI 85.3% to 90.6%), E2 (Se: 91.6%; 95% CI 87.5% to 94.7%, Sp: 86.6%; 95% CI 83.7% to 89.3%), E3 (Se: 96.8%; 95% CI 93.8% to 98.6% Sp: 67.9%; 95% CI 64% to 71.7%) and E4 (Se: 96.4%; 95% CI 93.3% to 98.3%, Sp: 57.9%; 95% CI 53.9% to 61.9%). For overweight classification, performance was found in E2 (Se: 71.5%; 95% CI 66.3% to 76.3%, Sp: 72.3%; 95% CI 68.2% to 76.1%) and E3 (Se: 47.9%; 95% CI 42.4% to 53.4%, Sp: 73.8%; 95% CI 69.8% to 77.6%). For normweight classification, E2 was found to perform (Se: 50.2%; 95% CI 44.1% to 56.3%, Sp: 95.7%; 95% CI 93.7% to 97.2%) and E3 (Se: 42.8%; 95% CI 36.8% to 48.9%, Sp: 98.8%; 95% CI 97.5% to 99.5%). 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引用次数: 0
摘要
身体成分是一项至关重要的健康指标，特别是在军事环境中，最佳的身体素质直接影响到表现和作战准备。准确评估身体脂肪和肌肉质量对于识别健康风险（如慢性病）和提高士兵的身体能力至关重要。方法：研究诊断的准确性和可靠性。通过连续抽样，共纳入了947名属于哥伦比亚军队的成年人。所有身体组成（正常体重、超重和肥胖）的人都参与了研究，重现了他们在哥伦比亚人口中的流行情况。以生物电阻抗分析（BIA）为参考标准，计算US Army （E1）、Deurenberg （E2）、con - bae （E3）和Woolcott （E4）方程的灵敏度（Se）、特异度（Sp）和准确度。重测信度和评间信度采用kappa法和加权kappa法。结果：在所有参与者中，92%为男性，男性的中位年龄为35岁，女性为33岁。65.4%的人运动（每周150分钟）。美国军方使用的肥胖分类公式的诊断准确性显示出以下表现(Se: 100%, Sp: 88.1%；95% CI 85.3% ~ 90.6%), E2 (Se: 91.6%；95% CI 87.5% ~ 94.7%, Sp: 86.6%；95% CI 83.7% ~ 89.3%), E3 (Se: 96.8%；95% CI: 93.8% ~ 98.6% Sp: 67.9%；95% CI为64%至71.7%)和E4 (Se: 96.4%；95% CI 93.3% ~ 98.3%, Sp: 57.9%；95% CI 53.9% ~ 61.9%)。对于超重分类，E2组表现良好(Se: 71.5%；95% CI 66.3% ~ 76.3%, Sp: 72.3%；95% CI 68.2%至76.1%)和E3 (Se: 47.9%；95% CI 42.4% ~ 53.4%, Sp: 73.8%；95%可信区间69.8%至77.6%)。对于正常体重分类，E2表现良好(Se: 50.2%；95% CI 44.1% ~ 56.3%, Sp: 95.7%；95% CI 93.7% ~ 97.2%)和E3 (Se: 42.8%；95% CI 36.8% ~ 48.9%, Sp: 98.8%；95%置信区间97.5%至99.5%)。对于所有方程，它们的可靠性都是极好的。结论：美国陆军方程，当应用于哥伦比亚军队人口时，与BIA相比，在分类肥胖方面表现出更高的准确性。对于超重和正常体重类别，Deurenberg方程表现更好。
Diagnostic accuracy and reliability of equations for the calculation of body fat mass percentage in the Colombian military population: a diagnostic test study.
Introduction: Body composition is a crucial health indicator, particularly in military settings, where optimal physical fitness directly impacts performance and operational readiness. Accurate assessment of body fat and muscle mass is essential for identifying health risks, such as chronic diseases, and for improving soldiers' physical capabilities.
Methods: Study of diagnostic accuracy and reliability. A total of 947 adults belonging to the military forces in Colombia were included through consecutive sampling. People with the whole spectrum of body composition (normal weight, overweight and obesity) participated, recreating their prevalence in the Colombian population. Sensitivity (Se), specificity (Sp) and accuracy of the US Army (E1), Deurenberg (E2), CUN-BAE (E3) and Woolcott (E4) equations were calculated, using bioelectrical impedance analysis (BIA) as reference standard. For test-retest and inter-rater reliability, kappa and weighted kappa were used.
Results: Of the total participants, 92% were men, with a median age of 35 years in men and 33 years in women. 65.4% were physically active (150 min per week). Diagnostic accuracy demonstrated the following performance in obesity classification for the equation used in the US military (Se: 100%, Sp: 88.1%; 95% CI 85.3% to 90.6%), E2 (Se: 91.6%; 95% CI 87.5% to 94.7%, Sp: 86.6%; 95% CI 83.7% to 89.3%), E3 (Se: 96.8%; 95% CI 93.8% to 98.6% Sp: 67.9%; 95% CI 64% to 71.7%) and E4 (Se: 96.4%; 95% CI 93.3% to 98.3%, Sp: 57.9%; 95% CI 53.9% to 61.9%). For overweight classification, performance was found in E2 (Se: 71.5%; 95% CI 66.3% to 76.3%, Sp: 72.3%; 95% CI 68.2% to 76.1%) and E3 (Se: 47.9%; 95% CI 42.4% to 53.4%, Sp: 73.8%; 95% CI 69.8% to 77.6%). For normweight classification, E2 was found to perform (Se: 50.2%; 95% CI 44.1% to 56.3%, Sp: 95.7%; 95% CI 93.7% to 97.2%) and E3 (Se: 42.8%; 95% CI 36.8% to 48.9%, Sp: 98.8%; 95% CI 97.5% to 99.5%). For all equations, their reliability is excellent.
Conclusions: The US Army equation, when applied to the Colombian military population, presents greater accuracy for classifying obesity when compared to BIA. For the overweight and normal weight category, the Deurenberg equation performs better.
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