Evidence map›Paper›PMID 38796639›Full record

Observational studyScientific reports2024

Association between obesity and the prevalence of dyslipidemia in middle-aged and older people: an observational study.

Chuanlei Zheng, Yanhong Liu, Cong Xu, Shaobo Zeng, Qi Wang, Yixing Guo, Jian Li, Sisi Li, Minghua Dong, Xiaoting Luo and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. [Association Between Obesity and Dyslipidemia Among Adults in Three Counties (Cities) of Sichuan Province].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
  11. Observational
  12. The Economic Cost of Obesity: A Cost-of-Illness Study in Greece.Applied health economics and health policy · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Article
  19. Article
  20. 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

11 authors.

Chuanlei ZhengSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, China.
Yanhong LiuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, China.
Cong XuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, China.
Shaobo ZengSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, China.
Qi WangSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, China.
Yixing GuoSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, China.
Jian LiSchool of Basic Medicine, Gannan Medical University, Ganzhou, 341000, China.
Sisi LiSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, China.
Minghua DongSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, China.
Xiaoting LuoDivision of Academic Affairs, Gannan Medical University, Ganzhou, 341000, China.
Qingfeng WuSchool of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, China. wuqf0920@163.com.

Funding

National Natural Science Foundation of China 81960621
6 · The paper itself

Abstract

This study aimed to explore the link between various forms of obesity, including body mass index (BMI) and waist circumference (WC), and the risk of dyslipidemia among Chinese residents. We selected the study population through a multi-stage random sampling method from permanent residents aged 35 and older in Ganzhou. Obesity was categorized as non-obesity, general obesity, central obesity, or compound obesity according to established diagnostic criteria. We employed a logistic regression model to assess the relationship between different types of obesity and the risk of dyslipidemia. Additionally, we used the restricted cubic spline model to analyze the association between BMI, WC, and the risk of dyslipidemia. The study included 2030 residents aged 35 or older from Ganzhou, China. The prevalence of dyslipidemia was found to be 39.31%, with an age-standardized prevalence of 36.51%. The highest prevalence of dyslipidemia, 58.79%, was observed among those with compound obesity. After adjusting for confounding factors, we found that the risk of dyslipidemia in those with central and compound obesity was respectively 2.00 (95% CI 1.62-2.46) and 2.86 (95% CI 2.03-4.03) times higher than in the non-obese population. Moreover, the analysis using the restricted cubic spline model indicated a nearly linear association between BMI, WC, and the risk of dyslipidemia. The findings emphasize the significant prevalence of both dyslipidemia and obesity among adults aged 35 and above in Ganzhou, China. Notably, individuals with compound obesity are at a substantially increased risk of dyslipidemia. Therefore, it is crucial to prioritize the use of BMI and WC as screening and preventive measures for related health conditions.

Indexed as

Body Mass IndexDyslipidemiasObesityWaist CircumferenceAdultAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsBody mass indexDyslipidemiaObesityRestricted cubic splineWaist circumference

Identifiers

PMID38796639
PMCPMC11127928

What OpenQuestion holds

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LicenceCC BY
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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.