ArticleMedicine2016
Identification of Normal Blood Pressure in Different Age Group.
Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Observational
- Hypertension screening across different age groups in Indian adults: Evidence from nationally representative cross-sectional data.PloS one · 2025Article
- Hypertension and global DNA methylation: a population-based study in rural, Punjab, India.Scientific reports · 2024Article
- In-silico investigations of haemodynamic parameters for a blunt thoracic aortic injury case.Scientific reports · 2023Article
- Prediction and predictor elucidation of metabolic syndrome onset among young workers using machine learning techniques: A nationwide study in Japan.Environmental and occupational health practice · 2022Article
- Powering Implantable and Ingestible Electronics.Advanced functional materials · 2021Article
- Incremental prognostic role of left atrial reservoir strain in asymptomatic patients with moderate aortic stenosis.The international journal of cardiovascular imaging · 2021Article
- Normative Data for Blood Pressure in Croatian War Veterans: A Population-Based Study.International journal of environmental research and public health · 2021Article
- Temporal evolution of neurovascular coupling recovery following moderate- and high-intensity exercise.Physiological reports · 2021Article
- Heterogeneity in Trajectories of Systolic Blood Pressure among Young Adults in Qingdao Port Cardiovascular Health Study.Global heart · 2020Article
- Adverse events with ayurvedic medicines- possible adulteration and some inherent toxicities.Wellcome open research · 2019Article
- Article
- Application of Spectral Domain Optical Coherence Tomography to Objectively Evaluate Posterior Capsular Opacity In Vivo.Journal of ophthalmology · 2018Article
- Factors influencing adherence to treatment in older adults with hypertension.Clinical interventions in aging · 2018Article
- Article
Corrections and comments
- Erratum issued
- Erratum issued
Authors and funding
7 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concept of using single criterion of normal blood pressure with systolic blood pressure (SBP) < 140 mmHg and diastolic blood pressure (DBP) < 90 mmHg for all ages is still disputable. The aim of the study is to identify the cutoff value of normotension in different age and sex groups.Totally, 127,922 (63,724 men and 64,198 women) were enrolled for the analysis. Finally, four fifths of them were randomly selected as the study group and the other one fifths as the validation group. Due the tight relationship with comorbidities from cardiovascular disease (CVD), metabolic syndrome (MetS) was used as a surrogate to replace the actual cardiovascular outcomes in the younger subjects.For SBP, MetS predicted by our equation had a sensitivity of 55% and specificity of 67% in males and 65%, 83% in females, respectively. At the same time, they are 61%, 73% in males and 73%, 86% in females for DBP, respectively. These sensitivity, specificity, odds ratio, and area under the receiver operating characteristic curve from our equations are all better than those derived from the criteria of 140/90 or 130/85 mmHg in both genders.By using the presence of MetS as the surrogate of CVD, the regression equations between SBP, DBP, and age were built in both genders. These new criteria are proved to have better sensitivity and specificity for MetS than either 140/90 or 130/85 mmHg. These simple equations should be used in clinical settings for early prevention of CVD.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.