Evidence map›Paper›PMID 33663435›Full record

ArticleBMC endocrine disorders2021

The association of metabolic syndrome and cognitive impairment in Jidong of China: a cross-sectional study.

Xiaohui Wang, Long Ji, Zhaoyang Tang, Guoyong Ding, Xueyu Chen, Jian Lv, Yanru Chen, Dong Li

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Neuroprotective effects ofFrontiers in nutrition · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Metabolic Syndrome and Cognitive Function.Current cardiology reports · 2021
    Review
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

8 authors.

Xiaohui Wang *Department of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, 619 Changcheng Road, Taian, 271016, P.R. China.
Long Ji *Department of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, 619 Changcheng Road, Taian, 271016, P.R. China.
Zhaoyang Tang *Department of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, 619 Changcheng Road, Taian, 271016, P.R. China.
Guoyong DingDepartment of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, 619 Changcheng Road, Taian, 271016, P.R. China.
Xueyu ChenDepartment of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, 619 Changcheng Road, Taian, 271016, P.R. China.
Jian LvDepartment of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, 619 Changcheng Road, Taian, 271016, P.R. China.
Yanru ChenDepartment of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, 619 Changcheng Road, Taian, 271016, P.R. China.
Dong LiDepartment of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, 619 Changcheng Road, Taian, 271016, P.R. China. tsmcdongli@163.com.

Funding

National Natural Science Foundation of China 81973138, 881773527 , 81872682Provincial Natural Science Foundation of China ZR2017MH007Shandong University Science and Technology Program J16LL09the Sub-topics of National key research and development program of China 2017YFE0118800
6 · The paper itself

Abstract

backgroundMetabolic syndrome (Mets) is prevalent in the general population and has been reported to be an independent risk factor for cognitive impairment. This study aimed to investigate the association of Mets with the risk of cognitive impairment.

methodsWe studied 5854 participants from the Jidong community. Cognitive function was assessed by the Mini-Mental State of Examination (MMSE) scale. Mets was diagnosed according to the International Diabetes Federation criteria. We used logistic regression analysis to investigate the association of metabolic syndrome with the risk of cognitive impairment.

resultAmong the 5854 adults included in the study, the age mean (SD) of age was 44 (13.57) years, and 2916 (50.34%) were male. There was a higher (56.03%) cognitive impairment incidence rate among participants with Mets than among those without Mets. In addition, there was a significant association between Mets and cognitive impairment (OR: 2.39, 95% CI: 2.00-2.86, P < 0.05) after adjusting for potential confounders, including age, gender, education level, marital status, smoking and alcohol consumption status. Regarding the 5 Mets components, abdominal obesity and elevated blood pressure were associated with the risk of Mets (OR: 1.36, 95% CI: 1.09-1.70, P < 0.001; OR: 1.32, 95% CI: 1.07-1.63, P < 0.05). Moreover, the strongest statistical correlation (adjusted OR: 1.86, 95% CI: 1.22-2.83, P < 0.05) was found when the number of Mets components was three.

conclusionOur study suggested that Mets was associated with cognitive impairment and that abdominal obesity and hypertension were associated with an increased risk of cognitive impairment.

Indexed as

AdultChinaCognitive DysfunctionCohort StudiesCross-Sectional StudiesFemaleHumansHypertensionLongitudinal StudiesMaleMental Status and Dementia TestsMetabolic SyndromeMiddle AgedObesity, AbdominalRisk FactorsAbdominal obesityBlood pressureCognitive impairmentEpidemiologyMetabolic syndrome

Identifiers

PMID33663435
PMCPMC7934472

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.