PDF(Pubmed)
Abstract：
UNASSIGNED: Biomarkers are increasingly integrated into population-based surveys to provide reliable estimates of the prevalence of specific diseases. The Demographic and Health Surveys have recently incorporated blood pressure measurements; however, little is known about the extent of agreement between measured and reported levels of hypertension in India. The objective of this study was to examine the extent of agreement between self-reported hypertension and the results of standard blood pressure measurements, as well as to explore the risk groups and factors associated with inconsistencies in self-reported and biomedically measured hypertension.
UNASSIGNED: Reliability measures such as sensitivity, specificity, and kappa statistics were used to examine inconsistencies in self-reported and biomedically measured hypertension in the National Family Health Survey-4 data. Multilevel logistic models were adopted to analyse the respondent characteristics related to both false-positive and false-negative responses in the survey.
UNASSIGNED: Compared to biomedically measured hypertension, self-reported hypertension was inconsistent and disproportionate at disaggregated levels in India. While self-reports severely underestimated hypertension among men aged 15-54 years and women aged 35-49 years, it overestimated hypertension among women below the age of 35 years. The inconsistency in self-reported and biomedically examined hypertension had deviations from a sex standpoint. Women aged <35 years reported a false-positive prevalence of hypertension. False-negative responses were elucidated among women aged ≥35 years and men aged 15-54 years. The likelihood of false-positive responses was higher among pregnant and obese respondents, and those who consumed alcohol.
UNASSIGNED: The significant deviance of self-reporting of hypertension from the prevalence derived based on standard tests further indicates the need for adopting standard tests in all emerging future large-scale surveys. A back-check survey is recommended to understand and differentiate the excessive false-positive reporting of hypertension among women aged 15-35 years.
UNASSIGNED: Reliability measures such as sensitivity, specificity, and kappa statistics were used to examine inconsistencies in self-reported and biomedically measured hypertension in the National Family Health Survey-4 data. Multilevel logistic models were adopted to analyse the respondent characteristics related to both false-positive and false-negative responses in the survey.
UNASSIGNED: Compared to biomedically measured hypertension, self-reported hypertension was inconsistent and disproportionate at disaggregated levels in India. While self-reports severely underestimated hypertension among men aged 15-54 years and women aged 35-49 years, it overestimated hypertension among women below the age of 35 years. The inconsistency in self-reported and biomedically examined hypertension had deviations from a sex standpoint. Women aged <35 years reported a false-positive prevalence of hypertension. False-negative responses were elucidated among women aged ≥35 years and men aged 15-54 years. The likelihood of false-positive responses was higher among pregnant and obese respondents, and those who consumed alcohol.
UNASSIGNED: The significant deviance of self-reporting of hypertension from the prevalence derived based on standard tests further indicates the need for adopting standard tests in all emerging future large-scale surveys. A back-check survey is recommended to understand and differentiate the excessive false-positive reporting of hypertension among women aged 15-35 years.
摘要：
UNASSIGNED：生物标志物越来越多地纳入基于人群的调查中，以提供对特定疾病患病率的可靠估计。人口和健康调查最近纳入了血压测量；然而，关于印度高血压测量水平和报告水平之间的一致程度知之甚少。这项研究的目的是检查自我报告的高血压和标准血压测量结果之间的一致性程度，以及探索与自我报告和生物医学测量的高血压不一致相关的风险人群和因素。
未经评估：可靠性措施，如灵敏度，特异性，和kappa统计数据用于检查国家家庭健康调查-4数据中自我报告和生物医学测量的高血压的不一致。采用多水平Logistic模型分析调查中与假阳性和假阴性反应相关的受访者特征。
未经证实：与生物医学测量的高血压相比，在印度,自我报告的高血压在分类水平上不一致且不成比例.虽然自我报告严重低估了15-54岁男性和35-49岁女性的高血压，它高估了35岁以下女性的高血压。从性别的角度来看，自我报告和生物医学检查高血压的不一致存在偏差。年龄<35岁的女性报告了高血压的假阳性患病率。在≥35岁的女性和15-54岁的男性中阐明了假阴性反应。在怀孕和肥胖的受访者中，假阳性反应的可能性更高，和那些喝酒的人。
UNASSIGNED：高血压的自我报告与基于标准测试得出的患病率的显着偏差进一步表明，在所有新兴的未来大规模调查中都需要采用标准测试。建议进行回查调查，以了解和区分15-35岁女性中高血压的过度假阳性报告。
未经评估：可靠性措施，如灵敏度，特异性，和kappa统计数据用于检查国家家庭健康调查-4数据中自我报告和生物医学测量的高血压的不一致。采用多水平Logistic模型分析调查中与假阳性和假阴性反应相关的受访者特征。
未经证实：与生物医学测量的高血压相比，在印度,自我报告的高血压在分类水平上不一致且不成比例.虽然自我报告严重低估了15-54岁男性和35-49岁女性的高血压，它高估了35岁以下女性的高血压。从性别的角度来看，自我报告和生物医学检查高血压的不一致存在偏差。年龄<35岁的女性报告了高血压的假阳性患病率。在≥35岁的女性和15-54岁的男性中阐明了假阴性反应。在怀孕和肥胖的受访者中，假阳性反应的可能性更高，和那些喝酒的人。
UNASSIGNED：高血压的自我报告与基于标准测试得出的患病率的显着偏差进一步表明，在所有新兴的未来大规模调查中都需要采用标准测试。建议进行回查调查，以了解和区分15-35岁女性中高血压的过度假阳性报告。
