Evidence map›Paper›PMID 32532299›Full record

ArticleLipids in health and disease2020

Gender heterogeneity in dyslipidemia prevalence, trends with age and associated factors in middle age rural Chinese.

Minmin Wang, Mengfei Liu, Fenglei Li, Chuanhai Guo, Zhen Liu, Yaqi Pan, Ying Liu, Fangfang Liu, Hong Cai, Yangfeng Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 8% of its field
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

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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4 · The record

Corrections and comments

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

12 authors at 3 institutions in 1 country.

Minmin WangKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China.
Mengfei LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China.
Fenglei LiHua County People's Hospital, Anyang, China.
Chuanhai GuoKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China.
Zhen LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China.
Yaqi PanKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China.
Ying LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China.
Fangfang LiuKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China.
Hong CaiKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China.
Yangfeng WuPeking University Clinical Research Institute, Beijing, China.
Zhonghu HeKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China. zhonghuhe@foxmail.com.
Yang KeKey Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China. keyang@bjmu.edu.cn.
Peking University · CNPeking University Cancer Hospital · CNThe Fifth People's Hospital of Anyang · CN

Funding

The charity project of the national ministry of health 201202014The Digestive Medical Coordinated Development Center of Beijing Hospital Authority XXZ0204The national key R&D program of China 2016YFC0901404The national science foundation of China 30930102The national science foundation of China 81473033The natural science foundation of China 81773501The open project founded by the Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing 2017-10The science foundation of Peking University Cancer Hospital 2017-26The science foundation of Peking University Cancer Hospital 2017-4
6 · The paper itself

Abstract

backgroundHeterogeneity should be carefully addressed to facilitate establishment of effective population-level blood lipid management. The primary aim of the study was to investigate gender heterogeneity in prevalence of dyslipidemia, including trends with age and associated factors in middle age rural Chinese.

methodsThis is a cross-sectional study based on a baseline investigation of a population-based randomized controlled trial in rural China, involving 26,378 permanent residents of age 45-69. The age-specific prevalence of dyslipidemia was estimated for men and women, and the trends of prevalence with age were compared. Logistic regression was used to explore the factors associated with prevalent risk of dyslipidemia.

resultsThe overall prevalence of dyslipidemia was significantly higher in females than in males for borderline high and above (BHA) total cholesterol (TC ≥ 200 mg/dL), BHA triglycerides (TG ≥ 150 mg/dL) and BHA low-density lipoprotein cholesterol (LDL-C ≥ 130 mg/dL), but was lower for low high-density lipoprotein cholesterol (HDL-C < 40 mg/dL) in females than the corresponding prevalence in males. The prevalence of borderline high and above TC, TG and LDL-C all rose with age in females, but was stable or even decreased with age in males. In contrast, graphic representation of the prevalence of low HDL-C showed no striking age related trend in both genders. Risk of dyslipidemia was associated predominantly with obesity in males, but was more predominantly associated with hypertension in females.

conclusionHeterogeneity was found in comparing the prevalence of dyslipidemia in men and women, and gender heterogeneity was found in its trend with age and associated factors in middle aged rural Chinese. The effectiveness of population-level blood lipid management and CVD primary prevention programs in China is expected to be improved if gender heterogeneity is considered.

Indexed as

AgedAge FactorsChinaCholesterol, HDLCholesterol, LDLDyslipidemiasFemaleHumansHypertensionLipidsMaleMiddle AgedObesityRisk FactorsRural PopulationSex CharacteristicsCholesterol, HDLCholesterol, LDLLipidsTriglyceridesDyslipidemiaEpidemiologyGender heterogeneityLipid managementLipids and lipoproteinsPrevalenceRisk factor

Identifiers

PMID32532299
PMCPMC7291723
OpenAlexW3034898548

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.