ArticleBMC public health2015
Prevalence of dyslipidemia and associated factors among the hypertensive population from rural Northeast China.
Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Dyslipidemia and associated factors among hypertensive patients in Ethiopia: a systematic review and meta-analysis.BMC cardiovascular disorders · 2025Pooled it
- The Effect of Nattokinase-Monascus Supplements on Dyslipidemia: A Four-Month Randomized, Double-Blind, Placebo-Controlled Clinical Trial.Nutrients · 2023Trial
- Prevalence of dyslipidemia and its association with blood pressure control in Iranian hypertensive patients: insights from STEPS 2021.Lipids in health and disease · 2025Article
- Linking Lipid Profile to Stress Urinary Incontinence in US Women: A National Cross-Sectional Study.International journal of women's health · 2025Article
- Evaluation of levels of uric acid and lipid profile in hospitalized patients with diabetes.BMC research notes · 2023Article
- Characteristics of serum lipid levels in patients with hypertension: a hospital-based retrospective descriptive study.BMJ open · 2022Article
- Assessing the effect of socioeconomic factors on prevalence of dyslipidemia among iranian adult population; district level analysis from 2016 STEPS national study using small area estimation.Journal of diabetes and metabolic disorders · 2022Article
- Prevalence, patterns and determinants of dyslipidaemia among South African adults with comorbidities.Scientific reports · 2022Article
- Article
- Prevalence and predictors of dyslipidemia among hypertensive patients in Lumame Primary Hospital, Amhara, Ethiopia: A cross-sectional study.Metabolism open · 2021Article
- Attenuating the Variability of Lipids Is Beneficial for the Hypertension Management to Reduce the Cardiovascular Morbidity and Mortality in Older Adults.Frontiers in cardiovascular medicine · 2021Article
- Prevalence of dyslipidemia and associated risk factors among newly diagnosed Type-2 Diabetes Mellitus (T2DM) patients in Kushtia, Bangladesh.PLOS global public health · 2021Article
- Prevalence and Associated Factors of Dyslipidemia Among Adults with Type 2 Diabetes Mellitus in Saudi Arabia.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Traditional Chinese Patent Medicine for Primary Hypertension: A Bayesian Network Meta-Analysis.Evidence-based complementary and alternative medicine : eCAM · 2020Article
- Prevalence and risk factors for dyslipidemia among adults in rural and urban China: findings from the China National Stroke Screening and prevention project (CNSSPP).BMC public health · 2019Article
- Dynamic development of metabolic syndrome and its risk prediction in Chinese population: a longitudinal study using Markov model.Diabetology & metabolic syndrome · 2018Article
- Association of microalbuminuria with serum lipids and inflammatory markers in an adult population in the Dikgale Health and Demographic Surveillance System site, South Africa.Cardiovascular journal of AfricaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur latest study reported the grim status of hypertension in rural China with the prevalence of hypertension reached 51.1%. However, we lack the latest data about the prevalence and epidemiological features of dyslipidemia among hypertensive residents in rural China.
methodsA cross-sectional survey was conducted from July 2012 to August 2013 through a cluster multistage sampling to a resident group of 4048 individuals (2152 men, 2896 women) with hypertension, age ≥ 35 years, in the rural Northeast China. Serum lipids level were proposed by National Cholesterol Education Program Adult Treatment Panel III.
resultsOf the hypertension residents without antihypertension treatment, 34.5% had borderline high total cholesterol, 19.2% had high total cholesterol, 11.4% had low high-density lipoprotein cholesterol and 37.4% had high non HDL-C. The population with borderline high, high, and very high low-density lipoprotein cholesterol was 20.9, 6.7 and 2.3%, respectively. In addition, 14.3% had borderline high triglycerides, 17.4% had high TG and 2.4% had very high TG. The awareness rate of dyslipidemia among the study population was 5.9%. After adjusting for independent variables, fasting plasma glucose, body mass index, Han nationality, current drinking and smoking, higher annual income and classification of blood pressure were risk factors for dyslipidemia while moderate physical activity was protective factor for dyslipidemia. On the contrary, gender and current drinking decrease the risk of HDL-C.
conclusionThe prevalence of dyslipidemia was dramatically high and dyslipidemia screening was in-need in all diagnosed hypertensive individuals.
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.