Evidence map›Paper›PMID 37322514›Full record

ArticleDiabetology & metabolic syndrome2023

Associations of non-traditional cardiovascular risk factors and body mass index with metabolic syndrome in the Chinese elderly population.

Aijun You, Yaxin Li, Chaonan Shen, Huimin Fan, Jia He, Zhongmin Liu, Qian Xue, Yuzhen Zhang, Liang Zheng

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07314957 (The Role of Lifestyle in Maintaining Health), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 12% 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.

NCT07314957 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Role of Lifestyle in Maintaining Health: Biological, Psychological and Social Responses of the Organism to Lifestyle

TypeinterventionalSponsorUniversity of ZadarRan2026 to 2027Enrolled120ConditionsMetabolic Syndrome, Inactivity/Low Levels of Exercise, Unhealthy Diet, Unhealthy Alcohol UseArmsIntervention of physical activity, Mediterranean Diet Education, Behavioral: Stress-Resilience Training
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

9 authors at 3 institutions in 1 country.

Aijun YouDepartment of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China.
Yaxin LiDepartment of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China.
Chaonan ShenDepartment of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China.
Huimin FanResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Jia HeDepartment of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China.
Zhongmin LiuResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Qian XueChanghai Clinical Research Unit, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China. chyybb@yeah.net.
Yuzhen ZhangResearch Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. Yzzhang-tj@tongji.edu.cn.
Liang ZhengDepartment of Epidemiology and Public Health, Tongji University School of Medicine, Shanghai, 200092, China. zhengliang@tongji.edu.cn.
Tongji University · CNShanghai East Hospital · CNSecond Military Medical University · CN

Funding

the Science and Technology Plan Project of Jiangxi Provincial Health Commission SKJP220227143
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS), a clustering of traditional cardiovascular risk factors (CVRF), is currently one of the major global public health burdens. However, associations between MetS and non-traditional CVRF represented by uric acid (UA), homocysteine (HCY) and hypersensitive C-reactive protein (HsCRP) have not been well explored in the elderly population, especially when considering body mass index (BMI).

methodsParticipants from the Shanghai Elderly Cardiovascular Health (SHECH) study cohort in 2017 were analyzed. MetS was defined using the modified American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Logistic regression models were used to assess associations of non-traditional CVRF, BMI with MetS.

resultsOf the 4360 participants analyzed, 2378 (54.5%) had MetS, the mean (SD) UA was 331 (86) µmol/L, and the median (IQR) HCY and HsCRP were 15 (13-18) µmol/L and 1.0 (0.5-2.1) mg/L, respectively. Participants with higher non-traditional CVRF tended to have a higher significant risk of MetS (P < 0.001), which did not changed substantially in most population subgroups (P-interaction > 0.05). BMI mediated 43.89% (95%CI: 30.38-57.40%), 37.34% (95% CI: 13.86-60.83%) and 30.99% (95%CI: 13.16-48.83%) of associations of hyperuricemia (HUA), hyperhomocysteinemia (HHCY) and high HsCRP (HHsCRP) with MetS, respectively. Abnormal non-traditional CVRF combined with overweight/obesity greatly increased MetS risk (adjusted OR(95%CI): HUA + Overweight: 5.860(4.059-8.461); 6.148(3.707-10.194); HHCY + Overweight: 3.989(3.107-5.121); HHCY + Obese: 5.746(4.064-8.123); HHsCRP + Overweight: 4.026(2.906-5.580); HHsCRP + Obese: 7.717(4.508-13.210)).

conclusionsIn the Chinese elderly population, HUA, HHCY, and HHsCRP were all significantly and independently associated with MetS, supporting the potential of focusing on non-traditional CVRF interventions for preventing and controlling MetS. BMI played moderate mediating roles in associations between non-traditional CVRF and MetS, and abnormal non-traditional CVRF combined with overweight/obesity had significant synergistic effects on MetS risk, highlighting the importance of better weight management in the elderly population.

Indexed as

Body mass indexCardiovascular diseaseMetabolic syndromeNon-traditional cardiovascular risk factorsThe elderly population

Identifiers

PMID37322514
PMCPMC10273701
OpenAlexW4380853259

What OpenQuestion holds

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LicenceCC BY
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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.