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Accuracy of visual estimation in diagnosing obese individuals- a blinded study

机译:视觉估计在诊断肥胖个体中的准确性-一项盲研究

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Background: Obesity is a recognised risk factor for metabolic diseases. The clinic visit allows a platform to identify patients at risk but consultation time may be limited. Visual estimation is routinely used when addressing obesity. This may lead to either an accurate or misdiagnosis of BMI, which affects management. The validity of visual scoring in engaging BMI and waist circumference is yet to be tested. Methods: Questionnaires estimating weight, height, BMI and WC were randomly distributed to doctors and patients attending different outpatient clinics. True measurements were recorded and blinded. Data was matched and analysed using SPSS. Results: In patient only analysis, 49% of patients under reported their own weight and 68% under reported their waist circumference. In physician group analysis, we found that in patients who are obese, 81% were estimated as obese by doctors. In patients who are overweight, 63% were estimated as overweight, and 25.7% as normal. In the normal weight group, 69.5% were estimated as normal. Overall, 72% of BMI was estimated correctly by doctors. There is no accuracy difference in doctor's and patient's weight estimation. Patients are not aware of the effect of abdominal obesity to health with poor insight. Conclusions: Visual estimation would miss accurate diagnosis in overweight individuals and should not replace true anthropometric measurements.
机译:背景:肥胖是代谢疾病的公认危险因素。诊所访问提供了一个平台来识别有风险的患者,但会诊时间可能有限。解决肥胖症时通常使用视觉估计。这可能导致BMI准确或误诊,从而影响管理。视觉评分在接合BMI和腰围方面的有效性尚待测试。方法:将估计体重,身高,BMI和WC的问卷随机分配给在不同门诊就诊的医生和患者。记录真实的测量结果并视而不见。使用SPSS对数据进行匹配和分析。结果:仅在患者分析中,49%的患者体重不足,腰围为68%。在医师小组分析中,我们发现在肥胖患者中,医生估计81%为肥胖。在超重患者中,估计有63%为超重,正常人为25.7%。在正常体重组中,估计为正常的占69.5%。总体而言,医生正确估计了72%的BMI。医生和病人的体重估算没有准确性差异。缺乏洞察力的患者没有意识到腹部肥胖对健康的影响。结论:视觉估计将错过对超重个体的准确诊断,并且不应替代真正的人体测量。

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