{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gao N"],"funding":["National Natural Science Foundation of China"],"pagination":["154"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5020547"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["<h4>Background</h4>The prevalence of cardiovascular disease has been increasing worldwide. As a common pathogenic risk factor, dyslipidemia played a great role in the incidence and progress of these diseases. We investigated to achieve accurate and up-to-date information on the prevalence of dyslipidemia and its associations with other lipid-related diseases in rural North China.<h4>Methods</h4>Using a complex, multistage, probability sampling design, we conducted a large-scale cross-sectional study of 8528 rural participants aged over 18 years in Shandong Province. Prevalence and characteristics of dyslipidemia were demonstrated. The odds ratios between dyslipidemia types and lipid-related diseases were further analyzed by logistic regression.<h4>Results</h4>Among the overall population, "],"journal":["Lipids in health and disease"],"pubmed_title":["Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value."],"pmcid":["PMC5020547"],"funding_grant_id":["81230018, 81471006, 81430020, and 81300644"],"pubmed_authors":["Zhao M","Liu L","Gao N","Zhang H","Xu C","Ji J","Zhang B","Zhao J","Yuan Z","Yu Y","Song Y"],"additional_accession":[]},"is_claimable":false,"name":"Dyslipidemia in rural areas of North China: prevalence, characteristics, and predictive value.","description":"<h4>Background</h4>The prevalence of cardiovascular disease has been increasing worldwide. As a common pathogenic risk factor, dyslipidemia played a great role in the incidence and progress of these diseases. We investigated to achieve accurate and up-to-date information on the prevalence of dyslipidemia and its associations with other lipid-related diseases in rural North China.<h4>Methods</h4>Using a complex, multistage, probability sampling design, we conducted a large-scale cross-sectional study of 8528 rural participants aged over 18 years in Shandong Province. Prevalence and characteristics of dyslipidemia were demonstrated. The odds ratios between dyslipidemia types and lipid-related diseases were further analyzed by logistic regression.<h4>Results</h4>Among the overall population, ","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016 Sep","modification":"2026-07-15T16:29:50.781Z","creation":"2026-07-07T03:08:18.651Z"},"accession":"S-EPMC5020547","cross_references":{"pubmed":["27619340"],"doi":["10.1186/s12944-016-0328-y"]}}