Evidence map›Paper›PMID 41860020›Full record

ArticleJournal of diabetes2026

Correlation of Thyroid Hormone Levels and Sensitivity With Metabolic Syndrome in Older Adults.

Fengjuan Hu, Hu Liu, Linlin Gu, Shuli Jia, Lixing Zhou, Wanyu Zhao, Xiaolei Liu, Birong Dong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fengjuan HuCenter of Gerontology and Geriatrics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hu LiuDepartment of General Surgery, West China Hospital, Sichuan University, Chengdu, China.
Linlin GuEndocrine Metabolism Department and Geriatric Department, Seventh People's Hospital of Chengdu, Chengdu, China.
Shuli JiaCenter of Gerontology and Geriatrics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Lixing ZhouCenter of Gerontology and Geriatrics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wanyu ZhaoCenter of Gerontology and Geriatrics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaolei LiuCenter of Gerontology and Geriatrics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Birong DongCenter of Gerontology and Geriatrics, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

1·3·5 project for disciplines of excellence-Clinical Research Fund, West China Hospital, Sichuan University 2025HXFH040National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University Z2023JC005National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University Z2023LC005National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University Z2024JC008Project of Chengdu Science and Technology 2024-YF05-02255-SNProject of Sichuan Province Health Commission 24LCYJPT01the National Natural Science Foundation of China 92248304the Natural Science Foundation of Sichuan Province, China 2024NSFSC1604the Sichuan Science and Technology Program 2025ZNSFSC1597
6 · The paper itself

Abstract

objectivePrevious studies have shown that thyroid function is associated with metabolic syndrome (MetS), but this association remains poorly understood in older adults. This study aimed to explore the relationships between thyroid hormone levels and sensitivity with MetS and its components in older adults.

methodsThe 2018 baseline data of the West China Health and Aging Trends study were used. MetS was diagnosed according to the International Diabetes Federation definition. Central thyroid hormone sensitivity was assessed by the TSH Index (TSHI), Thyrotrophic T4 Resistance Index (TT4RI), Thyroid Feedback Quantile-based Index (TFQI), and Parametric TFQI (PTFQI). Peripheral thyroid hormone sensitivity was assessed by the FT3 to FT4 ratio (FT3/FT4 ratio).

resultsA total of 3796 participants were included. The prevalence of MetS was 40.31%. High FT3 levels and FT3/FT4 ratios were associated with abdominal obesity and hypertension; decreased FT3 levels were associated with hyperglycemia, hypertriglyceridemia and low HDL-C; low FT4 levels were associated with abdominal obesity and hypertriglyceridemia; increased TSH, TSHI and TT4RI levels were associated with hypertriglyceridemia and hypertension; and increased TFQI and PTFQI were associated with hypertension (p < 0.05, for all). Increased FT3 (OR = 1.13, 95% CI: 1.05-1.22), TSH (OR = 1.12, 95% CI: 1.04-1.20), TSHI (OR = 1.09, 95% CI: 1.01-1.17), TT4RI (OR = 1.09, 95% CI: 1.01-1.16), FT3/FT4 (OR = 1.25, 95% CI: 1.16-1.35) and low FT4 (OR = 0.87, 95% CI: 0.81-0.94) were associated with MetS.

conclusionThyroid hormone levels are correlated with MetS and its components. Reduced central thyroid hormone sensitivity and increased peripheral thyroid hormone sensitivity are risk factors for MetS in older adults.

Indexed as

BiomarkersMetabolic SyndromeThyroid HormonesAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceThyrotropinThyroxineBiomarkersThyroid HormonesThyrotropinThyroxinehormone sensitivitymetabolic syndromeolder adultsthyroid hormone

Identifiers

PMID41860020
PMCPMC13097617

What Socratic 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 Socratic graph.