Evidence map›Paper›PMID 38128931›Full record

ArticleBMJ open2023

Prevalence, awareness, treatment and control of dyslipidaemia and their determinants: results from a population-based survey of 60 283 residents in eastern China.

Yijia Chen, Jinling Du, Nan Zhou, Yingqian Song, Weiwei Wang, Xin Hong

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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yijia Chen *Department of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China.
Jinling Du *Department of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China.
Nan ZhouNanjing Municipal Center for Disease Control and Prevention, Nanjing, China.ORCID 0000-0002-3111-3548
Yingqian SongDepartment of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China.
Weiwei WangDepartment of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China.
Xin HongDepartment of Chronic and Noncommunicable Disease Prevention, Nanjing Medical University Affiliated Nanjing Center for Disease Control and Prevention, Nanjing, China nj_hongxin@126.com.ORCID 0000-0003-0927-5484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the prevalence, awareness, treatment and control of dyslipidaemia and its associated factors in eastern China.

designCross-sectional study.

settingData were collected from the 2017 Nanjing Chronic Disease and Risk Factor Surveillance.

participantsThis study included 60 283 participants aged ≥18 years. OUTCOME MEASURES: Prevalence of dyslipidaemia was defined as self-reported history of dyslipidaemia and/or the use of lipid-lowering medication, and/or meeting at least one of the following during on-site investigation: total cholesterol ≥6.2 mmol/L, triglyceride ≥2.3 mmol/L, low-density lipoprotein cholesterol ≥4.1 mmol/L and high-density lipoprotein cholesterol <1.0 mmol/L. Dyslipidaemia awareness was defined as the proportion of patients with dyslipidaemia who explicitly indicate their awareness of having a diagnosis of dyslipidaemia. Treatment was based on medication use among individuals with dyslipidaemia. Control was defined as having dyslipidaemia, receiving treatment and achieving serum lipid control to the standard level. ANALYSIS: Complex weighting was used to calculate weighted prevalence. A two-level logistic regression model determined the influencing factors for dyslipidaemia prevalence, awareness, treatment and control.

resultsThe crude prevalence rate of dyslipidaemia was 28.4% (17 093 of 60 283). Among 17 093 patients with dyslipidaemia, the crude rates of awareness, treatment and control were 40.0% (n=6830), 27.5% (n=4695) and 21.9% (n=3736), respectively. The corresponding weighted prevalence rates were 29.8%, 41.6%, 28.9% and 22.9%. Older age (OR 2.03, 95% CI 1.82 to 2.23), urban residence (1.24, 1.19 to 1.31), higher education level (1.31, 1.21 to 1.42), current smoking (1.22, 1.15 to 1.29), alcohol consumption (1.20, 1.14 to 1.26), obesity (2.13, 1.99 to 2.29), history of hypertension (1.64, 1.56 to 1.71) and diabetes (1.92, 1.80 to 2.04) were identified as independent risk factors for dyslipidaemia (all p<0.001). Participants who were older, female, living in urban areas, had higher education levels, did not smoke or drink alcohol, had central obesity, had hypertension or had diabetes were more likely to be aware of their dyslipidaemia conditions, receive treatment and achieve serum lipid control to a standard level than their comparators (all p<0.05).

conclusionsThe prevalence of dyslipidaemia is relatively high in eastern China; however, awareness, treatment and control levels are relatively low.

Indexed as

Diabetes MellitusDyslipidemiasHypertensionAdolescentAdultChinaCholesterol, LDLCross-Sectional StudiesFemaleHumansObesityPrevalenceRisk FactorsTriglyceridesCholesterol, LDLTriglyceridesepidemiologic studiesepidemiologylipid disorders

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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.