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Abstract：
The current study aims to investigate the consistency between the surveyees\' self-reported disease diagnosis and clinical assessment of eight major chronic conditions using community-based survey data collected in Xi\'an, China in 2017. With a focus on under-reporting patients, we aim to explore its magnitude and associated factors, to provide an important basis for disease surveillance, health assessment and resource allocation, and public health decision-making and services.
Questionnaires were administered to collect self-reported chronic condition prevalence among the study participants, while physical examinations and laboratory tests were conducted for clinical assessment. For each of the eight chronic conditions, the sensitivity, specificity, under-reporting, over-reporting, and agreement were calculated. Log-binomial regression analysis was employed to identify potential factors that may influence the consistency of chronic condition reporting.
A total of 2,272 participants were included in the analysis. Four out of the eight chronic conditions displayed under-reporting exceeding 50%. The highest under-reporting was observed for goiter [85.93, 95% confidence interval (CI): 85.25-86.62%], hyperuricemia (83.94, 95% CI: 83.22-84.66%), and thyroid nodules (72.89, 95% CI: 72.02-73.76%). Log-binomial regression analysis indicated that senior age and high BMI were potential factors associated with the under-reporting of chronic condition status in the study population.
The self-reported disease diagnosis by respondents and clinical assessment data exhibit significant inconsistency for all eight chronic conditions. Large proportions of patients with multiple chronic conditions were under-reported in Xi\'an, China. Combining relevant potential factors, targeted health screenings for high-risk populations might be an effective method for identifying under-reporting patients.
Questionnaires were administered to collect self-reported chronic condition prevalence among the study participants, while physical examinations and laboratory tests were conducted for clinical assessment. For each of the eight chronic conditions, the sensitivity, specificity, under-reporting, over-reporting, and agreement were calculated. Log-binomial regression analysis was employed to identify potential factors that may influence the consistency of chronic condition reporting.
A total of 2,272 participants were included in the analysis. Four out of the eight chronic conditions displayed under-reporting exceeding 50%. The highest under-reporting was observed for goiter [85.93, 95% confidence interval (CI): 85.25-86.62%], hyperuricemia (83.94, 95% CI: 83.22-84.66%), and thyroid nodules (72.89, 95% CI: 72.02-73.76%). Log-binomial regression analysis indicated that senior age and high BMI were potential factors associated with the under-reporting of chronic condition status in the study population.
The self-reported disease diagnosis by respondents and clinical assessment data exhibit significant inconsistency for all eight chronic conditions. Large proportions of patients with multiple chronic conditions were under-reported in Xi\'an, China. Combining relevant potential factors, targeted health screenings for high-risk populations might be an effective method for identifying under-reporting patients.
摘要：
■本研究旨在使用在西安收集的基于社区的调查数据，调查被调查者自我报告的疾病诊断与八种主要慢性病的临床评估之间的一致性。2017年中国。专注于低报告的患者，我们的目标是探索它的大小和相关因素，为疾病监测提供重要依据,健康评估和资源分配，以及公共卫生决策和服务。
■进行问卷调查，以收集研究参与者自我报告的慢性病患病率，同时进行体格检查和实验室检查以进行临床评估。对于八种慢性病中的每一种，灵敏度,特异性，少报,过度报告，并计算了协议。采用对数二项回归分析来确定可能影响慢性病报告一致性的潜在因素。
■共有2,272名参与者被纳入分析。八个慢性疾病中有四个显示漏报超过50％。甲状腺肿的漏报率最高[85.93，95％置信区间（CI）：85.25-86.62％]，高尿酸血症（83.94，95%CI：83.22-84.66%），和甲状腺结节（72.89，95％CI：72.02-73.76％）。对数二项回归分析表明，高龄和高BMI是研究人群中慢性疾病状态报告不足的潜在因素。
■受访者自我报告的疾病诊断和临床评估数据对所有八种慢性病均表现出明显的不一致性。大量患有多种慢性病的患者在西安被低估，中国。结合相关潜在因素，针对高危人群的有针对性的健康筛查可能是识别漏报患者的有效方法.
■进行问卷调查，以收集研究参与者自我报告的慢性病患病率，同时进行体格检查和实验室检查以进行临床评估。对于八种慢性病中的每一种，灵敏度,特异性，少报,过度报告，并计算了协议。采用对数二项回归分析来确定可能影响慢性病报告一致性的潜在因素。
■共有2,272名参与者被纳入分析。八个慢性疾病中有四个显示漏报超过50％。甲状腺肿的漏报率最高[85.93，95％置信区间（CI）：85.25-86.62％]，高尿酸血症（83.94，95%CI：83.22-84.66%），和甲状腺结节（72.89，95％CI：72.02-73.76％）。对数二项回归分析表明，高龄和高BMI是研究人群中慢性疾病状态报告不足的潜在因素。
■受访者自我报告的疾病诊断和临床评估数据对所有八种慢性病均表现出明显的不一致性。大量患有多种慢性病的患者在西安被低估，中国。结合相关潜在因素，针对高危人群的有针对性的健康筛查可能是识别漏报患者的有效方法.
