Association of non-conventional lipid-inflammatory parameters with incident hypertension risk
A prospective cohort study
Bibliographic Data
| ID | 24021257 |
|---|---|
| Authors | Mengjie Zhao (0000-0002-1489-5226, Chinese Academy of Medical Sciences & Peking Union Medical College), MIAORAN WANG (0000-0002-7561-7086, Chinese Academy of Medical Sciences & Peking Union Medical College), Zirong Li (0009-0005-3992-6833, Beijing University of Chinese Medicine), Yufei Wu (0009-0009-6733-3196, Chinese Academy of Medical Sciences & Peking Union Medical College), Fang Lu (0009-0004-4847-4763, Chinese Academy of Medical Sciences & Peking Union Medical College), Qiuyan Li (0009-0007-4758-0865, Chinese Academy of Medical Sciences & Peking Union Medical College) |
| Year | 2026 |
| Volume | 16 |
| Pages | 04237-04237 |
| Publication date | 2026-08-07 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Global Health (JOURNAL) |
| Journal identifiers | ISSN: 2047-2978 • E-ISSN: 2047-2986 |
| Publisher | Edinburgh University Global Health Society (PUBLISHER • GB) |
| DOI | 10.7189/jogh.16.04237 |
| PMID | 42565438 |
| OpenAlex | W7201844952 |
| Language | EN |
| References cited | 59 |
Background: Emerging research has associated non-conventional lipid indices with hypertension risk; however, the joint contribution of these lipid metrics and inflammatory biomarkers to hypertension susceptibility remains unclear. Using a nationally representative cohort, we aimed to examine the independent associations of non-conventional lipid indices and their inflammatory composites with incident hypertension. Methods: We included 6891 participants from the China Health and Retirement Longitudinal Study (2011-2020). We used multivariable Cox proportional hazards regression to assess the association between baseline and cumulative non-conventional lipid-inflammatory parameters and incident hypertension. We used restricted cubic spline modelling to characterise dose-response relationships. We evaluated receiver operating characteristic curves, net reclassification improvement, and integrated discrimination improvement as secondary conditional analyses. Results: Over a median follow-up of 7.79 years, 2532 incident hypertension cases occurred. Higher tertiles of non-conventional lipid indices were associated with progressively increased hypertension risk. In the primary model, elevated baseline and cumulative non-conventional lipid metrics were associated with a higher risk of hypertension across all composite indices. The lipoprotein combine index-C-reactive protein showed the largest effect size (hazard ratio = 1.59; 95% confidence interval = 1.44-1.75). Composite indices demonstrated modest incremental discrimination over individual measures (area under the curve range = 0.55-0.58). Conclusions: Non-conventional lipid indices are independently associated with incident hypertension among middle-aged and older Chinese adults. Composite lipid-inflammatory markers provide modest incremental prognostic information beyond conventional lipids, though their standalone discriminatory performance is weak.
Cohort · Cohort study · Confidence interval · Longitudinal study · Proportional hazards model · Prospective cohort study · Receiver operating characteristic · Adipokines, Inflammation, and Metabolic Diseases · Diabetes, Cardiovascular Risks, and Lipoproteins · Inflammatory Biomarkers in Disease Prognosis
Global burden of hypertension
ESC Guidelines on cardiovascular disease prevention in clinical practice
Cohort Profile
Global burden of 87 risk factors in 204 countries and territories, 1990–2019
Relationship Between Lipid Profiles and Hypertension
Journal of Global Health’s Guidelines for Reporting Analyses of Big Data Repositories Open to the Public (GRABDROP)
| Citation velocity | historical |
|---|---|
| Highly cited | No |