Evidence map›Paper›PMID 42325519›Full record

ArticleFrontiers in nutrition2026

Association of a novel nutritional index, the triglyceride-cholesterol-body weight index (TCBI), with incident mild cognitive impairment: CHARLS 2011-2018.

Yiwen Lu, Dongyang Jiang, Jinfeng Zhang, Chunxiang Wang, Jihong Li, Ying Liang

Abstract read
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Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yiwen LuSchool of Clinical Medicine, Shandong Second Medical University, Weifang, China.
Dongyang JiangDepartment of General Practice, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.
Jinfeng ZhangGraduate School of Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China.
Chunxiang WangSchool of Clinical Medicine, Shandong Second Medical University, Weifang, China.
Jihong LiSchool of Clinical Medicine, Shandong Second Medical University, Weifang, China.
Ying LiangDepartment of General Practice, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The triglyceride-cholesterol-body weight index (TCBI) is a recently proposed nutritional index derived from lipid measures and body weight. Although malnutrition has been linked to cognitive decline in middle-aged and older adults, longitudinal population-based evidence on the association between TCBI and incident mild cognitive impairment (MCI) remains limited. This study examined the association between TCBI and incident MCI in middle-aged and older adults, while accounting for death as a competing event. Methods: Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2018). After applying inclusion and exclusion criteria, the final analytical sample consisted of 5,510 participants. The TCBI was calculated as follows: TCBI = [TC (mg/dL) × TG (mg/dL) × body weight (kg)] / 1,000. Log10-transformed TCBI was analyzed as a continuous variable, per 1-SD increment, and by quartiles. Cox proportional hazards models were used to estimate the association between TCBI and incident MCI, with sequential adjustment for demographic, lifestyle, and clinical metabolic covariates. Restricted cubic splines were used to assess nonlinearity. Threshold effects were further examined using piecewise Cox models, and model fit was compared with likelihood ratio tests. Sensitivity analyses included the Fine-Gray subdistribution hazard model with all-cause mortality as a competing event, and Cox regression analyses excluding participants with baseline dyslipidemia. Results: Over the 7-year follow-up, 1,063 incident cases of MCI (19.29%) and 437 deaths (7.93%) were recorded. In fully adjusted multivariable models, each 1-unit increase in log10-transformed TCBI (Lg TCBI) was associated with a reduced risk of MCI (HR = 0.73, 95% CI: 0.57-0.94, Conclusion: Lower TCBI levels were associated with a higher risk of incident MCI in middle-aged and older adults. As a simple and practical index derived from routine lipid measurements and body weight, TCBI may help identify individuals at increased risk of cognitive decline in primary care and community settings.

Indexed as

CHARLScohort studiesmild cognitive impairmentnutritional indexTCBI

Identifiers

PMID42325519
PMCPMC13275355

What Socratic holds

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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.