Evidence map›Paper›PMID 34327384›Full record

ArticleThe Lancet regional health. Western Pacific2020

Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults.

Mei Zhang, Yu Shi, Oumin Shi, Zhenping Zhao, Xiao Zhang, Chun Li, Zhengjing Huang, Liyun Zhao, Limin Wang, Yichong Li and 1 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

27 citing papers in PubMed.

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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

11 authors.

Mei ZhangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27# Nanwei Rd, Xicheng District, Beijing 100050, China.
Yu ShiFuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, 12# Langshan Rd, Nanshan District, Shenzhen 518057, Guangdong Province, China.
Oumin ShiFuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, 12# Langshan Rd, Nanshan District, Shenzhen 518057, Guangdong Province, China.
Zhenping ZhaoNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27# Nanwei Rd, Xicheng District, Beijing 100050, China.
Xiao ZhangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27# Nanwei Rd, Xicheng District, Beijing 100050, China.
Chun LiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27# Nanwei Rd, Xicheng District, Beijing 100050, China.
Zhengjing HuangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27# Nanwei Rd, Xicheng District, Beijing 100050, China.
Liyun ZhaoNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27# Nanwei Rd, Xicheng District, Beijing 100050, China.
Limin WangNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27# Nanwei Rd, Xicheng District, Beijing 100050, China.
Yichong LiFuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, 12# Langshan Rd, Nanshan District, Shenzhen 518057, Guangdong Province, China.
Xinhua LiNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 27# Nanwei Rd, Xicheng District, Beijing 100050, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease is the leading cause of death in China. The aim of this study was to evaluate the levels of cardiovascular health among Chinese adults and to understand the geographic pattern of cardiovascular health.

methodsIn 2015, a total of 74,726 respondents aged ≥ 20 years with no history of cardiovascular disease were randomly sampled from 298 counties/districts of 31 provinces in mainland China and were interviewed. Seven metrics, including smoking, body mass index, physical activity, diet, total cholesterol, blood pressure, and fasting glucose, were determined. Ideal cardiovascular health was defined as the simultaneous presence of all metrics at the ideal level. A score ranging from 0 to 14 was calculated as the sum of all seven metrics for each province. Scores for cardiovascular health behaviors (smoking, body mass index, physical activity and diet) and those for cardiovascular health factors (smoking, total cholesterol, blood pressure, and fasting glucose) were also calculated.

findingsThe mean age was 44.4 ± 15.9 years, and 49.3% were women. The age-sex-standardized prevalence of ideal cardiovascular health was universally poor, ranging from 0.02% [95% confidence interval (CI): 0%, 0.05%] in Tibet to 2.76% (95% CI: 0.45%, 5.07%) in Heilongjiang. Ideal diet (7.1%) was the least common factor of the seven metrics in each province and varied considerably across provinces. Other component metrics of ideal cardiovascular health were also spatially patterned. In all provinces, women had higher scores than men for cardiovascular health, health behaviors and health factors. Differences in cardiovascular health and health behavior scores between urban and rural areas were associated with levels of socio-economic development.

interpretationStrategies for addressing poor cardiovascular health require geographic targeting and localized consideration.

fundingThis research was supported by National Key R&D Program, the Shenzhen Strategic Emerging Industry Development Special Fund, and the Fund of "Sanming" Project of Medicine in Shenzhen.

Indexed as

Cardiovascular diseaseCardiovascular healthChinaSocio-demographic IndexSpatial analysis

Identifiers

PMID34327384
PMCPMC8315622

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Registered trials

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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.