Evidence map›Paper›PMID 38970515›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2024

Correlation between obesity and early vascular aging in middle-aged and young adult health check-up populations.

Linlin Zhao, Man Cui, Yapei Li, Ying Li, Rujia Miao, Jiangang Wang, Hui Zhou

Abstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. [Trends in the incidence and mortality of rheumatoid arthritis in China from 1990 to 2021: An ageZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
  2. Factors influencing the use of weight management APP among obese patients in Chinese cities in the post-epidemic era.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
  3. [Correlation between the systemic immuneZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
    Article
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

7 authors.

Linlin ZhaoMedical Center of Health Management, Third Xiangya Hospital, Central South University, Changsha 410013. zllin7@126.com.
Man CuiMedical Department, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250001, China.
Yapei LiMedical Center of Health Management, Third Xiangya Hospital, Central South University, Changsha 410013.
Ying LiMedical Center of Health Management, Third Xiangya Hospital, Central South University, Changsha 410013.
Rujia MiaoMedical Center of Health Management, Third Xiangya Hospital, Central South University, Changsha 410013.
Jiangang WangMedical Center of Health Management, Third Xiangya Hospital, Central South University, Changsha 410013.
Hui ZhouMedical Center of Health Management, Third Xiangya Hospital, Central South University, Changsha 410013. zhouhui68346@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe obesity rate among middle-aged and young adults in China is increasing annually, and the incidence of cardiovascular diseases is becoming more prevalent in younger populations. However, it has not yet been reported whether obesity is associated with early vascular aging (EVA). This study aims to explore the correlation between obesity and EVA in middle-aged and young adult health check-up populations, providing a reference for the prevention of cardiovascular diseases.

methodsA total of 15 464 middle-aged and young adults aged 18-59 who completed brachial-ankle pulse wave velocity (baPWV) test in the Third Xiangya Hospital of Central South University from January to December 2020 were included. Among them, 1 965 individuals with normal blood pressure and no cardiovascular risk factors were selected as the healthy population. The baPWV thresholds for determining EVA in each age group for males and females were calculated based on the baPWV values of the healthy population. The number and percentage of individuals meeting the EVA criteria in the middle-aged and young adult health check-up populations were statistically analyzed by age and gender. The differences in obesity indicators [visceral adiposity index (VAI), body mass index (BMI), waist circumference (WC)] between the EVA and non-EVA groups for males and females were compared. Using EVA as the dependent variable, VAI, BMI, and WC were included as independent variables in a Logistic model to analyze the correlation between each obesity indicator and EVA before and after adjusting for other influencing factors. Furthermore, the correlation between each obesity indicator and EVA in each age group was analyzed.

resultsIn the health check-up populations, the detection rate of EVA in different age groups was 1.65%-10.92% for males, and 1.16%-10.50% for females, the detection rate of EVA increased with age in both males and females. Except for the 40-<50 age group, the EVA detection rate was higher in males than in females in all other age groups. Regardless of gender, obesity indicators VAI, BMI, and WC were significantly higher in the EVA group than in the non-EVA group (all

conclusionsVAI is closely related to the occurrence of EVA in middle-aged and young adults aged 18-<40 and 50-<60 years, while WC is closely related to the occurrence of EVA in those aged 40-<50 years.

Indexed as

Ankle Brachial IndexBody Mass IndexObesityAdiposityAdolescentAdultAgingCardiovascular DiseasesChinaFemaleHumansMaleMiddle AgedPulse Wave AnalysisRisk FactorsWaist Circumferencebody mass indexcardiovascular diseasesearly vascular agingmiddle-aged and young adultsobesityvisceral adiposity indexwaist circumference

Identifiers

PMID38970515
PMCPMC11208404

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LicenceCC BY-NC-ND
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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.