Data · dataset · 2024
Associations of low-density lipoprotein cholesterol with all-cause and cause-specific mortality in older adults in China
Listed in Teesside University Research Data Repository
Context: Limited information was available on detailed associations of low-density lipoprotein cholesterol (LDL-C) with all-cause and cause-specific mortality in older adults.
Description
Methods
This prospective cohort study included a representative sample of 211,290 adults aged 65 or older, who participated in Shenzhen Healthy Aging Research 2018-2019. The vital status of the participants by 31 December, 2021 was determined. We estimated the hazard ratios (HR) with 95% confidence intervals for all-cause or cause-specific mortality using multivariable Cox proportional hazards models and Cox models with restricted cubic spline(RCS) .Results: The median follow-up time was 3.08 years.
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A total of 5,333 participants were confirmed to have died. Among them, 2,303 cardiovascular disease (CVD) deaths and 1,881 cancer deaths occurred. Compared to those with LDL-C of 100–129 mg/dL, the all-cause mortality risk was significantly higher for individuals with LDL-C level that was very low (< 70 mg/dL) or low (70–99 mg/dL).
Compared with individuals with the reference LDL-C level, the multivariable-adjusted HR for CVD-specific mortality was 1.327 for those with very low LDL-C level (< 70 mg/dL), 1.437 for those with high LDL-C level (160 mg/dL ≦ LDL-C < 190mg/dL), 1.528 for those with very high LDL-C level (≥ 190 mg/dL). Low LDL-C level (70–99 mg/dL) and very low LDL-C level (< 70 mg/dL) were also associated with increased cancer mortality and other-cause mortality, respectively.
The results from RCS curve showed similar results. Conclusion: Considering the risk of all-causes mortality and cause-specific mortality, we recommended 100-159 mg/dL as the optimal range of LDL-C among older adults in China.
Links
Where it is published
- DOI doi.org/10.17632/9dn4mfm699.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Mortality
- Inferred from text
- Cancer 75% · Cardiovascular disease 75% · Disease 75% · Longitudinal study 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/9dn4mfm699.1 | 15 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:cardiovascular-disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:field:440304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Mortality'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |