Most investigations concerning the validity of self-reported anthropometrics focus on weight, height, and body mass index. This study extends those investigations by exploring the impact of self-reporting bias on the disease risk indicators of waist circumference and body fat percentage. Female college freshmen (n=128) self-reported weight and height, then underwent measurements for weight, height, waist circumference, and body fat percentage. Self-reporting bias was defined as self-reported minus directly-assessed anthropometric value. Despite no differences in self-reported versus directly-assessed weight or height for the total group, students with high waist circumference and excess fat under-reported their weight by 2.3±4.4 lb (p<0.05). Self-reporting bias was negatively correlated with waist circumference (r=-0.362; p<0.001) and body fat percentage (r=-0.317; p<0.001). Although many female college freshmen accurately represent their weight, those with excess fat and waist circumference under-reported their weight. This may lead to missed opportunities for risk identification, prevention, and intervention.
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机译：关于自我报告的人体测量学有效性的大多数研究都集中在体重，身高和体重指数上。本研究通过探讨自我报告偏倚对腰围和体脂百分比疾病风险指标的影响，扩展了这些研究范围。女大一新生（n = 128）自我报告的体重和身高，然后进行体重，身高，腰围和体脂百分比的测量。自我报告偏差定义为自我报告减去直接评估的人体测量值。尽管整个小组的自我报告体重与直接评估体重或身高没有差异，但是腰围高且脂肪过多的学生报告的体重却低了2.3±4.4磅（p <0.05）。自我报告偏倚与腰围（r = -0.362; p <0.001）和体脂百分比（r = -0.317; p <0.001）负相关。尽管许多女大一新生准确地表示了自己的体重，但那些多余脂肪和腰围的人却没有正确报告自己的体重。这可能导致错过风险识别，预防和干预的机会。
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