ArticleLipids in health and disease2013
Prevalence of major cardiovascular risk factors and adverse risk profiles among three ethnic groups in the Xinjiang Uygur Autonomous Region, China.
Article in Lipids in health and disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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
23 citing papers in PubMed.
- Ethnic cardiovascular disparities and lipidomic signatures in Chinese children: insights from a historical national survey and a contemporary regional cohort.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- Machine learning and SHAP values for predicting coronary artery disease risk in Xinjiang, China.European journal of medical research · 2026Article
- Interaction and biological pathway analysis of proteomic products in patients with premature coronary artery disease.Clinical proteomics · 2025Article
- Comparison of the cumulative exposure to four measures of blood pressure for predicting cardiovascular disease risk in the Chinese Uyghurs.BMC public health · 2025Article
- Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China.Journal of cardiothoracic surgery · 2023Article
- Article
- Updating Framingham CVD risk score using waist circumference and estimated cardiopulmonary function: a cohort study based on a southern Xinjiang population.BMC public health · 2022Article
- A Cardiovascular Disease Prediction Model Based on Routine Physical Examination Indicators Using Machine Learning Methods: A Cohort Study.Frontiers in cardiovascular medicine · 2022Article
- Association of KATP Gene Polymorphisms with Dyslipidemia and Ischemic Stroke Risks Among Hypertensive Patients in South China.Journal of molecular neuroscience : MN · 2021Article
- Prevalence and Clustering of Cardiovascular Risk Factors among Medical Staff in Northeast China.Healthcare (Basel, Switzerland) · 2021Article
- Article
- Article
- Comparison of Hypertension in Migrant and Local Patients with Atherosclerotic Diseases: A Cross-Sectional Study in Shanghai, China.Annals of global health · 2020Article
- MIF gene rs755622 polymorphism positively associated with acute coronary syndrome in Chinese Han population: case-control study.Scientific reports · 2020Article
- Investigation of the association between obesity and insulin-induced gene 1 polymorphism at 7q36.3 region in Uygur population in Xinjiang, China.Bioscience reports · 2019Article
- Ethnic disparities in prevalence and clustering of cardiovascular disease risk factors in rural Southwest China.BMC cardiovascular disorders · 2019Article
- Association of ACE2 polymorphisms with susceptibility to essential hypertension and dyslipidemia in Xinjiang, China.Lipids in health and disease · 2018Article
- Prevalence and clustering of cardiovascular risk factors: a cross-sectional survey among Nanjing adults in China.BMJ open · 2018Article
- Effect of BMI and Its Optimal Cut-Off Value in Identifying Hypertension in Uyghur and Han Chinese: A Biethnic Study from the China National Health Survey (CNHS).International journal of hypertension · 2018Article
- Cross-Cultural Validation of the High Blood Pressure Health Literacy Scale in a Chinese Community.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevalence of cardiovascular disease (CVD) risk factors have been scarcely studied in Xinjiang, a multi-ethnic region.
methodsMulti-ethnic, cross-sectional cardiovascular risk survey study in Xinjiang, including individuals of Uygur (n = 4695), Han (n = 3717) and Kazakh (n = 3196) ethnicities, aged 35-74 years. Analyses involved 11,608 participants with complete data enrolled between October 2007 and March 2010.
resultsThere were differences in age-standardized prevalence of CVD risk factors between the three groups (all P < 0.001). Hypertension, obesity and smoking rates were higher among Kazakh (54.6%, 24.5%, and 35.8%, respectively). Dyslipidemia prevalence was higher among Uygur (54.3%), and diabetes prevalence was higher among Hans (7.1%). Age-standardized prevalence of adverse CVD risk profiles was different across different ethnicities. Compared with the Han participants, the Uygur and Kazakh had more CVD risk factors (P < 0.001). Compared with the Han participants, the adjusted odds ratios of 1, 2, and ≥3 risk factors profiles for Kazakh and Uygur participants were higher (all P < 0.001).
conclusionsThe present study showed the pervasive burden of CVD risk factors in all participant groups in the Xinjiang region. Three major ethnic groups living in Xinjiang had striking differences in the prevalence of major CVD risk factors and adverse risk profiles. Ethnic-specific strategies should be developed to prevent CVD in different ethnic groups, as well as to develop strategies to prevent future development of adverse CVD risk factors at a younger age.
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.