Huerta José M, Tormo M José, Egea-Caparrós José M, Ortolá-Devesa Juan B, Navarro Carmen
CIBER Epidemiología y Salud Pública (CIBERESP), Murcia, Spain.
Rev Esp Cardiol. 2009 Feb;62(2):143-52. doi: 10.1016/s1885-5857(09)71532-4.
The aim of this study was to determine the accuracy of self-reported diabetes, hypertension and hyperlipidemia in a representative sample of adults (719 men and 837 women) from the south of Spain.
Self-reported data were gathered using a structured questionnaire. Biometric data recorded included blood glucose, total cholesterol and triglyceride concentrations and arterial systolic and diastolic blood pressures. The sensitivity, specificity, and positive and negative predictive values of self-reported diagnoses were calculated using the biometric data as the reference standard. The degree of overall agreement was determined using Cohen's kappa coefficient.
The kappa values obtained indicated good agreement for self-reported diabetes (kappa=0.78), moderate agreement for hypertension (kappa=0.51), and minimal agreement for hyperlipidemia (kappa=0.27). Using the information reported, around 70% of diabetic cases were detected, along with half of hypertensive cases and 35% of hyperlipidemic cases. The specificity was high overall (>96%). The factors associated with an accurate self-reported diagnosis in subjects with disease included female sex and obesity (for hypertension), older age (for hyperlipidemia), a family history of disease (for diabetes) and having undergone blood pressure measurement (for all three conditions) or blood lipid measurement (for hypertension and hyperlipidemia) in the past year.
The accuracy of self-reported diabetes was high, whereas that of self-reported hypertension or hyperlipidemia was lower. Further efforts are needed to increase awareness of these conditions among the population.
本研究旨在确定西班牙南部具有代表性的成年样本(719名男性和837名女性)中自我报告的糖尿病、高血压和高脂血症的准确性。
使用结构化问卷收集自我报告的数据。记录的生物特征数据包括血糖、总胆固醇和甘油三酯浓度以及动脉收缩压和舒张压。以生物特征数据作为参考标准,计算自我报告诊断的敏感性、特异性以及阳性和阴性预测值。使用科恩kappa系数确定总体一致性程度。
获得的kappa值表明,自我报告的糖尿病一致性良好(kappa = 0.78),高血压一致性中等(kappa = 0.51),高脂血症一致性极低(kappa = 0.27)。根据报告的信息,约70%的糖尿病病例、一半的高血压病例和35%的高脂血症病例被检测出来。总体特异性较高(>96%)。与疾病患者自我报告诊断准确相关的因素包括女性性别和肥胖(高血压)、年龄较大(高脂血症)、家族病史(糖尿病)以及过去一年接受过血压测量(所有三种情况)或血脂测量(高血压和高脂血症)。
自我报告糖尿病的准确性较高,而自我报告高血压或高脂血症的准确性较低。需要进一步努力提高人群对这些疾病的认识。