Table · dataset · 2026
Supplementary file 1_Predictive value of baseline, cumulative exposure and annual mean changes in TyG-related indices for cardiovascular events in older rural adults with cardiovascular-kidney-metabolic syndrome stages 0–3: a cohort study.docx
Listed in ZivaHub and Deakin Research Online and HKU DataHub and DaYta Ya Rona and figshare and Loughborough Research Repository and UP Research Data Repository — shown once because both records carry DOI 10.3389/fendo.2026.1952253.s001
Background<p>The triglyceride-glucose (TyG) index and its derivatives are cost-effective markers of insulin resistance and cardiovascular risk.
Description
However, the comparative predictive value of baseline levels, cumulative exposure, and annual mean changes in TyG-related indices remains unclear. This study aimed to systematically compare the predictive performance of multiple dimensions of TyG-related indices for cardiovascular events in rural older adults with cardiovascular-kidney-metabolic (CKM) syndrome stages 0–3.</p>Methods<p>This cohort study enrolled 4,169 participants aged ≥65 years with no history of cardiovascular events.
Longitudinal data from annual standardized health examinations under the National Basic Public Health Services Project were used to calculate baseline, cumulative exposure, and annual mean change values of TyG-related indices. Associations, dose-response relationships, and predictive performance were assessed via accelerated failure time models, restricted cubic spline analyses, time-dependent receiver operating characteristic analyses, and model fit statistics.
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Linear mixed-effects models were applied to delineate longitudinal trajectories of these indices. Sensitivity analyses were further conducted to verify the robustness of the main findings.</p>Results<p>During 6 years of follow-up, 822 cardiovascular events were documented. Cardiovascular risk increased progressively with advancing CKM syndrome stages (P = 0.004).
Baseline and cumulative TyG-WC and TyG-WHtR were consistently and strongly associated with incident cardiovascular events (all P < 0.001), with cumulative measures demonstrating slightly stronger associations. Dose-response analyses revealed a linear relationship between TyG and cardiovascular events, whereas TyG-BMI, TyG-WC, and TyG-WHtR exhibited nonlinear associations. In terms of association strength, most annual mean change measures were not significantly associated with outcomes, only TyG-BMI showed a weak association(P = 0.033) and was the only indicator with a statistically significant time-to-CVD interaction in longitudinal trajectory analysis.
Nevertheless, all annual mean change indicators generally demonstrated poorer predictive performance than baseline and cumulative indicators for cardiovascular events. Among all indices, baseline and cumulative TyG-WC showed the optimal predictive performance across follow-up periods, and baseline TyG-WC had predictive utility comparable to cumulative TyG-WC. Sensitivity analyses further confirmed the robustness of these key findings.</p>Conclusion<p>Baseline and cumulative TyG-related indices demonstrated stronger associations with cardiovascular events compared with annual mean changes, suggesting that sustained metabolic exposure is more clinically informative than short-term fluctuation.
Baseline and cumulative TyG-WC demonstrated relatively better predictive performance and, especially baseline measure, may serve as a simple and low-cost auxiliary tool for cardiovascular risk stratification in resource-constrained primary care settings, though it should not replace conventional cardiovascular risk-assessment instruments.</p>
Links
Where it is published
- DOI doi.org/10.3389/fendo.2026.1952253.s001 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Astronomy & Astrophysics · Cardiovascular disease · Cardiovascular disease · Cardiovascular disease · Cardiovascular disease · Cardiovascular disease · Cardiovascular disease · Cardiovascular disease · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Social Science · Social Science · Social Science · Social Science
- Inferred from text
- Longitudinal study 65%
Provenance · 7 source records, 64 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34029378 | 11 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34029378 | 11 d ago | JSON v1 |
| HKU DataHub | oai:figshare.com:article/34029378 | 11 d ago | JSON v1 |
| DaYta Ya Rona | oai:figshare.com:article/34029378 | 11 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34029378 | 10 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34029378 | 10 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34029378 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[disease].local:disease:cardiovascular-disease | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['cardiovascular disease'] |
| concepts[disease].local:disease:cardiovascular-disease | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['cardiovascular disease'] |
| concepts[disease].local:disease:cardiovascular-disease | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['cardiovascular disease'] |
| concepts[disease].local:disease:cardiovascular-disease | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['cardiovascular disease'] |
| concepts[disease].local:disease:cardiovascular-disease | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['cardiovascular disease'] |
| concepts[disease].local:disease:cardiovascular-disease | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['cardiovascular disease'] |
| concepts[disease].local:disease:cardiovascular-disease | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['cardiovascular disease'] |
| concepts[field].anzsrc:field:310103 | mapping · dayta nwu ac za | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · datahub hku hk | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:humanities | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |