ArticleBMC health services research2018
Self-reported hypertension in Northern China: a cross-sectional study of a risk prediction model and age trends.
Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Development and validation of a hypertension risk prediction model using electronic health records data from general practices in Hampshire and Isle of Wight integrated care system.BMC cardiovascular disorders · 2026Article
- Development and Validation of a Hypertension Risk Prediction Model Based on Particle Swarm Optimization-Support Vector Machine.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- Analysis of Adherence Status and Influencing Factors Among Middle-Aged and Elderly Hypertension Patients in Rural Areas of Northeast China.International journal of hypertension · 2025Article
- Development of hypertension models for lung cancer screening cohorts using clinical and thoracic aorta imaging factors.Scientific reports · 2024Article
- Article
- Comparing socio-economic inequalities in self-reported and undiagnosed hypertension among adults 45 years and over in India: what explains these inequalities?International journal for equity in health · 2023Article
- Establishment of hypertension risk nomograms based on physical fitness parameters for men and women: a cross-sectional study.Frontiers in cardiovascular medicine · 2023Article
- Changes in Prevalence and Determinants of Self-Reported Hypertension among Bangladeshi Older Adults during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants.Frontiers in cardiovascular medicine · 2022Article
- Prevalence, awareness, treatment, and control of hypertension in Northern China: a cross-sectional study.BMC cardiovascular disorders · 2021Article
- A risk scoring system to predict the risk of new-onset hypertension among patients with type 2 diabetes.Journal of clinical hypertension (Greenwich, Conn.) · 2021Article
- The interactive association between sodium intake, alcohol consumption and hypertension among elderly in northern China: a cross-sectional study.BMC geriatrics · 2021Article
- Epidemiologic Profile of Hypertension in Northern Iranian Population: The PERSIAN Guilan Cohort Study (PGCS).Annals of global health · 2021Article
- Prediction model and assessment of probability of incident hypertension: the Rural Chinese Cohort Study.Journal of human hypertension · 2021Article
- Diet quality is associated with reduced risk of hypertension among Inner Mongolia adults in northern China.Public health nutrition · 2020Article
- Prevalence, knowledge and education level associated with secondhand smoke exposure among never-smoking women in Inner Mongolia, Northern China.Tobacco induced diseases · 2020Article
- Observational
- Associations between single nucleotide polymorphisms in miR-221, self-reported essential hypertension, and interactions between genetic and environmental factors: a multiethnic study in China.American journal of translational research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
backgroundHypertension is a major risk factor for the global burden of disease, particularly in countries that are not economically developed. This study aimed to evaluate risk factors associated with self-reported hypertension among residents of Inner Mongolia using a cross-sectional study and to explore trends in the rate of self-reported hypertension.
methodsMulti-stage stratified cluster sampling was used to survey 13,554 participants aged more than 15 years residing in Inner Mongolia for the 2013 Fifth Health Service Survey. Hypertension was self-reported based on a past diagnosis of hypertension and current use of antihypertensive medication. Adjusted odds risks (ORs) of self-reported hypertension were derived for each independent risk factor including basic socio-demographic and clinical factors using multivariable logistic regression. An optimized risk score model was used to assess the risk and determine the predictive power of risk factors on self-reported hypertension among Inner Mongolia residents.
resultsDuring study period, self-reported hypertension prevalence was 19.0% (2571/13,554). In multivariable analyses, both female and minority groups were estimated to be associated with increased risk of self-reported hypertension, adjusted ORs (95% CI) were 1.22 (1.08, 1.37) and 1.66 (1.29, 2.13) for other minority compared with Han, increased risk of self-reported hypertension prevalence was associated with age, marital status, drinking, BMI, and comorbidity. In the analyses calculated risk score by regression coefficients, old age (≥71) had a score of 12, which was highest among all examined factors. The predicted probability of self-reported hypertension was positively associated with risk score. Of 13,421 participants with complete data, 284 had a risk score greater than 20, which corresponded to a high estimated probability of self-reported hypertension (≥67%).
conclusionsSelf-reported hypertension was largely related to multiple clinical and socio-demographic factors. An optimized risk score model can effectively predict self-reported hypertension. Understanding these factors and assessing the risk score model can help to identify the high-risk groups, especially in areas with multi-ethnic populations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.