Table · dataset · 2026
Supplementary file 1_Estimated glucose disposal rate shows the broadest associations with cardiometabolic multimorbidity progression in early cardiovascular–kidney–metabolic stages: a longitudinal cohort study.docx
Listed in ZivaHub and Deakin Research Online and DMU Figshare and HKU DataHub and Swinburne Figshare and DaYta Ya Rona and SUNScholarData and figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.3389/fendo.2026.1948249.s002
Background<p>Early risk stratification may help prevent cardiometabolic multimorbidity (CMM) among adults at cardiovascular–kidney–metabolic (CKM) stages 0–3.
Description
We compared the estimated glucose disposal rate (eGDR), triglyceride–glucose (TyG) index, and atherogenic index of plasma (AIP) for incident CMM, disease transitions, and incremental prediction.</p>Methods<p>This longitudinal cohort analysis included 6,407 China Health and Retirement Longitudinal Study participants aged 45–79 years at CKM stages 0–3 and free of CMM in 2011, with follow-up through 2020.
CMM was defined as the coexistence of at least two of diabetes, heart disease, and stroke. Cox models estimated hazard ratios (HRs) per standard deviation in the adverse direction (lower eGDR or higher TyG or AIP). Restricted cubic-spline and multistate models assessed dose–response patterns and transitions; five repetitions of stratified fivefold out-of-fold validation evaluated incremental 9-year prediction.</p>Results<p>During a median follow-up of 9.0 years, 593 participants developed CMM.
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Primary-model HRs per adverse standard deviation were 1.92 (95% confidence interval [CI], 1.77–2.09) for eGDR, 1.69 (95% CI, 1.57–1.82) for TyG, and 1.51 (95% CI, 1.39–1.64) for AIP. After CKM-stage adjustment, eGDR remained associated with all three disease-accumulation transitions (false-discovery-rate-adjusted P ≤ 0.009); TyG remained associated only with the earliest transition, and no AIP transition survived correction.
Among single-marker additions, eGDR yielded the largest point gain in discrimination (ΔC-index, 0.041; 95% CI, 0.027–0.055). Adding TyG to eGDR further increased the C-index by 0.012 (95% CI, 0.005–0.020), whereas adding AIP to eGDR plus TyG changed the C-index by 0.001 (95% CI, −0.003 to 0.005). Calibration slopes were 0.910–0.945.
Interval-aware and competing-risk analyses were consistent.</p>Conclusion<p>All three indices were associated with incident CMM. eGDR showed the most consistent transition associations and the numerically largest single-marker gain in internally validated prediction; TyG was complementary, whereas AIP added little beyond eGDR and TyG. Independent external validation and clinical-utility assessment are needed before use in early risk stratification.</p>
Links
Where it is published
- DOI doi.org/10.3389/fendo.2026.1948249.s002 ↗
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 · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Cell metabolism · Chemistry · 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 · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Physics · Physics · Physics · Physics · Physics · Physics · Physics · Physics · Physics · Physics · Physics · Psychology & Behavioral Science · Psychology & Behavioral Science · Social Science · Social Science · Social Science · Social Science · Social Science
- Inferred from text
- Cardiovascular disease 65% · Disease 75% · Heart 75% · Longitudinal study 75%
Provenance · 11 source records, 82 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34032249 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34032249 | 5 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34032249 | 5 d ago | JSON v1 |
| HKU DataHub | oai:figshare.com:article/34032249 | 4 d ago | JSON v1 |
| Swinburne Figshare | oai:figshare.com:article/34032249 | 4 d ago | JSON v1 |
| DaYta Ya Rona | oai:figshare.com:article/34032249 | 4 d ago | JSON v1 |
| SUNScholarData | oai:figshare.com:article/34032249 | 4 d ago | JSON v1 |
| figshare | oai:figshare.com:article/34032249 | 4 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34032249 | 4 d ago | JSON v1 |
| GRANTS Data | oai:figshare.com:article/34032249 | 3 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34032249 | 3 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[anatomy].local:anatomy:heart | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:cardiovascular-disease | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[disease].local:disease:disease | enrichment · zivahub uct ac za | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:field:310103 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · dayta nwu ac za | 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].anzsrc:field:310103 | mapping · grantsdata jst go jp | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · figshare swinburne edu au | vocabulary-mapper@1.0.0 | keywords['Cell Metabolism'] |
| concepts[field].anzsrc:field:310103 | mapping · scholardata sun 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 · figshare com | 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 · figshare dmu ac uk | 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 · scholardata sun ac za | connector:scholardata_sun_ac_za@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 · 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:earth-environmental | mapping · scholardata sun ac za | connector:scholardata_sun_ac_za@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 · figshare dmu ac uk | connector:figshare_dmu_ac_uk@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 · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare swinburne edu au | connector:figshare_swinburne_edu_au@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:earth-environmental | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@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: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 · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@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: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 · scholardata sun ac za | connector:scholardata_sun_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 · 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 · figshare dmu ac uk | connector:figshare_dmu_ac_uk@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 · figshare swinburne edu au | connector:figshare_swinburne_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 · scholardata sun ac za | connector:scholardata_sun_ac_za@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 · grantsdata jst go jp | connector:grantsdata_jst_go_jp@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 · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:physics | mapping · scholardata sun ac za | connector:scholardata_sun_ac_za@1.0.0 | |
| concepts[field].local:field:physics | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:physics | mapping · datahub hku hk | connector:datahub_hku_hk@1.0.0 | |
| concepts[field].local:field:physics | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:physics | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:physics | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:physics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:physics | mapping · figshare swinburne edu au | connector:figshare_swinburne_edu_au@1.0.0 | |
| concepts[field].local:field:physics | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:physics | mapping · dayta nwu ac za | connector:dayta_nwu_ac_za@1.0.0 | |
| concepts[field].local:field:physics | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@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:psychology-behavioral | mapping · scholardata sun ac za | connector:scholardata_sun_ac_za@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 · scholardata sun ac za | connector:scholardata_sun_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 · dayta nwu ac za | connector:dayta_nwu_ac_za@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 (75%) |
| 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 |