ArticleScientific reports2018
Prevalence of hyperlipidemia in Shanxi Province, China and application of Bayesian networks to analyse its related factors.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Determinants of Dyslipidemia in Africa: A Systematic Review and Meta-Analysis.Frontiers in cardiovascular medicine · 2021Pooled it
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- Determinants of hypertension among Bhutanese adults: evidence from a national WHO STEPS survey.Scientific reports · 2026Article
- The Prevalence and Associated Factors of HIV Self-Testing Among High-Risk Men Who Have Sex with Men in China: A Study Based on Bayesian Network Model.Archives of sexual behavior · 2025Article
- Exploring the causal effects of physical activity, diet, and nutrition on hypertension and hyperlipidemia: a multivariable Mendelian randomization analysis.BMC cardiovascular disorders · 2025Article
- Relationship between insulin resistance surrogate markers with diabetes and dyslipidemia: A Bayesian network analysis of Korean adults.PloS one · 2025Article
- Risk variables of heart failure among patients in China: grey relational approach based multi-dimensional assessment study.Diabetology & metabolic syndrome · 2024Article
- Emodin repairs interstitial cells of Cajal damaged by cholelithiasis in the gallbladder.Frontiers in pharmacology · 2024Article
- Epidemiological Characterisation of Chronic Diseases Among Civil Servants in Hebei Province, China: A Cross-Sectional Real-World Study of Approximately 50,000 Adults.Risk management and healthcare policy · 2024Article
- Using Bayesian networks with Tabu-search algorithm to explore risk factors for hyperhomocysteinemia.Scientific reports · 2023Article
- Exploring factors related to heart attack complicated with hypertension using a Bayesian network model: a study based on the China Health and Retirement Longitudinal Study.Frontiers in public health · 2023Article
- Prevalence, awareness, treatment, and control of dyslipidemia in Chinese adults: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2023Review
- Atherogenic dyslipidemia and associated risk factors among hypertensive patients of five health facilities in Northeast Ethiopia.PloS one · 2023Article
- Hypolipidemic effect of ethanol extract from Chimonanthus nitens Oliv. leaves in hyperlipidemia rats via activation of the leptin/JAK2/STAT3 pathway.Molecular medicine (Cambridge, Mass.) · 2022Article
- Application of Bayesian networks to identify factors influencing acceptability of HIV pre-exposure prophylaxis in Guilin, China.Scientific reports · 2022Article
- The identification and prediction of frailty based on Bayesian network analysis in a community-dwelling older population.BMC geriatrics · 2022Article
- Efficacy and safety of tai chi for hyperlipidaemia: a protocol for systematic review and meta-analysis.BMJ open · 2022Article
- Associations of Long-Term Visit-to-Visit Blood Pressure Variability With Subclinical Kidney Damage and Albuminuria in Adulthood: a 30-Year Prospective Cohort Study.Hypertension (Dallas, Tex. : 1979) · 2022Article
- Cardiovascular Disease Mortality and Potential Risk Factor in China: A Multi-Dimensional Assessment by a Grey Relational Approach.International journal of public health · 2022Article
- Application of a novel hybrid algorithm of Bayesian network in the study of hyperlipidemia related factors: a cross-sectional study.BMC public health · 2021Article
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to obtain the prevalence of hyperlipidemia and its related factors in Shanxi Province, China using multivariate logistic regression analysis and tabu search-based Bayesian networks (BNs). A multi-stage stratified random sampling method was adopted to obtain samples among the general population aged 18 years or above. The prevalence of hyperlipidemia in Shanxi Province was 42.6%. Multivariate logistic regression analysis indicated that gender, age, region, occupation, vegetable intake level, physical activity, body mass index, central obesity, hypertension, and diabetes mellitus are associated with hyperlipidemia. BNs were used to find connections between those related factors and hyperlipidemia, which were established by a complex network structure. The results showed that BNs can not only be used to find out the correlative factors of hyperlipidemia but also to analyse how these factors affect hyperlipidemia and their interrelationships, which is consistent with practical theory, is superior to logistic regression and has better application prospects.
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