Evidence mapPaperPMID 39616366Full record

ArticleLipids in health and disease2024

Association of triglyceride glucose index combined with obesity indicators with cognitive impairment.

Juan Hao, Yuting Lu, Lei Zhang, Xiao Li, Haotian Wen, Xiyu Zhao, Lifeng Wang, Jun Tu, Jinghua Wang, Chunsheng Yang and 2 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

12 authors.

Juan Hao *Department of Neurology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Yuting Lu *School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China.
Lei Zhang *Tianjin Medical University Jizhou Clinical College, Tianjin, 301900, China.
Xiao LiDepartment of Neurology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Haotian WenThe First Clinical School of Southern Medical University, Guangzhou, 510515, Guangdong Province, China.
Xiyu ZhaoDepartment of Critical Care Medicine, Tianjin Jizhou People's Hospital, Tianjin, 301900, China.
Lifeng WangTianjin Medical University Jizhou Clinical College;Institute of Clinical Epidemiology & Evidence-Based Medicine, Tianjin Jizhou People's Hospital, Tianjin, 301900, China.
Jun TuDepartment of Neurology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Jinghua WangDepartment of Neurology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.
Chunsheng YangDepartment of Neurology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China. cyang01@tmu.edu.cn.
Xianjia NingDepartment of Neurology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China. xning@tmu.edu.cn.
Yan LiTianjin Medical University Jizhou Clinical College;Institute of Clinical Epidemiology & Evidence-Based Medicine, Tianjin Jizhou People's Hospital, Tianjin, 301900, China. liyanmanu@163.com.

Funding

Tianjin Municipal Health Commission TJWJ2023MS067Tianjin Science and Technology Bureau central guide local science and technology development projects 22ZYCGSY00970
6 · The paper itself

Abstract

backgroundThe association of a combination of the TyG index and obesity markers, specifically waist circumference (WC), with cognitive function is unknown. This research investigated the relationship between TyG-WC measurements and cognitive impairment in a low-income population in China; moreover, this study evaluated the role of diabetes mellitus and body mass index (BMI) in modulating this relationship.

methods1125 eligible individuals aged ≥ 60 years participated in this study. The TyG index and obesity indicators (BMI, WC, and waist-to-height ratio) were calculated for individual participants and categorized into quartiles. Multivariate logistic regression analysis was used to evaluate the correlation between TyG-WC values and cognitive impairment; the possibility of a nonlinear relationship was explored using constrained cubic spline analysis. The participants were divided into different groups according to their diabetes status and BMI category for subgroup analyses. Linear regression was used to investigate the correlation between TyG-WC values and MMSE scores.

resultsThe prevalence of cognitive impairment in the study participants was 47.3%, with a significant negative association between TyG-WC values and cognitive impairment, (odds ratio [OR] = 0.999; 95% confidence interval [CI], 0.997-1.00, P = 0.009). A U-shaped correlation was observed between the TyG-WC values and cognitive impairment (P = 0.008). Subgroup analyses showed that the inverse association between TyG-WC values and cognitive impairment was stronger in non-diabetic individuals (OR = 0.998; 95% CI, 0.997-0.999; P = 0.002) and in those with a lower BMI (< 24 kg/m

conclusionThis study demonstrates a nonlinear U-shaped relationship between TyG-WC values and cognitive function. The stronger inverse association between TyG-WC values and cognitive decline in the non-diabetic and low-BMI subgroups suggests that these populations may benefit the most from targeted interventions. These findings are important for clinical practice and formulating disease-prevention policies, emphasizing the need for metabolic health management to prevent cognitive decline, particularly in low-income populations.

Indexed as

Blood GlucoseBody Mass IndexCognitive DysfunctionObesityTriglyceridesWaist CircumferenceAgedChinaFemaleHumansMaleMiddle AgedRisk FactorsBlood GlucoseTriglyceridesBMICognitive impairmentDiabetes mellitusMetabolic healthTyG-WC

Identifiers

PMID39616366
PMCPMC11607975

What Socratic holds

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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 Socratic graph.