University of Tennessee at Chattanooga, Chattanooga, TN 37403-2598, USA.
J Athl Train. 2010 Jan-Feb;45(1):67-74. doi: 10.4085/1062-6050-45.1.67.
Excessive fat mass clearly has adverse effects on metabolic processes that can ultimately lead to the development of chronic disease. Early identification of high-risk status may facilitate referral for definitive diagnostic tests and implementation of interventions to reduce cardiometabolic risk.
To document the prevalence of metabolic syndrome among collegiate football players and to develop a clinical prediction rule that does not require blood analysis to identify players who may possess a high level of cardiometabolic risk.
Cross-sectional cohort study.
University athletic training research laboratory.
Sixty-two National Collegiate Athletic Association Division I Football Championship Subdivision football players (age = 19.9 +/- 1.2 years, height = 182.6 +/- 6.1 cm, mass = 97.4 +/- 18.3 kg).
MAIN OUTCOME MEASURE(S): Anthropometric characteristics associated with body fat, isokinetic quadriceps strength, and biometric indicators associated with metabolic syndrome were measured. Participants were classified as high risk or low risk for future development of type 2 diabetes and cardiovascular disease.
The prevalence of metabolic syndrome in the cohort was 19% (12 of 62), and 79% (49 of 62) of the players exceeded the threshold for 1 or more of its 5 components. A 4-factor clinical prediction rule that classified individuals on the basis of waist circumference, blood pressure, quadriceps strength, and ethnic category had 92% sensitivity (95% confidence interval = 65%, 99%) and 76% specificity (95% confidence interval = 63%, 86%) for discrimination of high-risk or low-risk status.
The risk for developing type 2 diabetes and cardiovascular disease appears to be exceptionally high among collegiate football players. A lack of race-specific criteria for the diagnosis of metabolic syndrome almost certainly contributes to an underestimation of the true level of cardiometabolic risk for African American collegiate football players.
过多的脂肪量显然对代谢过程有不良影响，这些代谢过程最终可能导致慢性病的发生。早期识别高危状态可能有助于转介进行明确的诊断测试，并实施干预措施来降低心血管代谢风险。
记录大学生足球运动员中代谢综合征的流行情况，并制定一种临床预测规则，该规则无需进行血液分析即可识别可能存在高水平心血管代谢风险的运动员。
横断面队列研究。
大学运动训练研究实验室。
62 名美国全国大学体育协会一级足球锦标赛分区 I 足球运动员（年龄=19.9±1.2 岁，身高=182.6±6.1cm，体重=97.4±18.3kg）。
与体脂相关的人体测量特征、等速股四头肌力量以及与代谢综合征相关的生物指标进行了测量。将参与者分为未来发展为 2 型糖尿病和心血管疾病的高风险或低风险组。
该队列中代谢综合征的患病率为 19%（62 人中的 12 人），62 名运动员中有 79%（49 人）超过了其 5 个组成部分中 1 个或多个部分的阈值。一种基于腰围、血压、股四头肌力量和种族类别的 4 因素临床预测规则，对高风险或低风险状态的分类具有 92%的敏感性（95%置信区间=65%，99%）和 76%的特异性（95%置信区间=63%，86%）。
大学生足球运动员发生 2 型糖尿病和心血管疾病的风险似乎极高。代谢综合征的诊断缺乏种族特异性标准，这几乎肯定导致对非裔美国大学生足球运动员心血管代谢风险的真实水平存在低估。
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