Evidence map›Paper›PMID 42958341›Full record

ArticleLipids in health and disease2026

Joint association of LDL cholesterol and inflammation with mortality and the modifying effect of physical activity: findings from two population-based cohort studies.

Chunxin Wu, Linsen Chen, Lei Luo, Meng Sun, Shengqiang Huang, Wei Shao, Xiaoyan Wu

Abstract read
In one paragraph

Article in Lipids in health and disease, 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

7 authors.

Chunxin WuDepartment of Epidemiology and Biostatistics, School of Public Health, Guilin Medical University, Guilin, P. R. China.
Linsen ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Guilin Medical University, Guilin, P. R. China.
Lei LuoDepartment of Epidemiology and Biostatistics, School of Public Health, Guilin Medical University, Guilin, P. R. China.
Meng SunDepartment of Cardiology, The Key Laboratory of Myocardial Ischemia, The Second Affiliated Hospital of Harbin Medical University, Chinese Ministry of Education, Harbin, P. R. China.
Shengqiang HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Guilin Medical University, Guilin, P. R. China.
Wei ShaoDepartment of Epidemiology and Biostatistics, School of Public Health, Guilin Medical University, Guilin, P. R. China.
Xiaoyan WuDepartment of Epidemiology and Biostatistics, School of Public Health, Guilin Medical University, Guilin, P. R. China. wxywxy_79@126.com.

Funding

National Natural Science Foundation of China 82560670National Natural Science Foundation of Guangxi 2026GXNSFAA00640869Open Project Program of Key Laboratory of Precision Nutrition and Health (Harbin Medical University), Ministry of Education LPNH2024-01
6 · The paper itself

Abstract

backgroundLow-density lipoprotein cholesterol (LDL-C) and inflammation are two main factors contributing to risk of cardiovascular disease (CVD) mortality. However, their joint associations remain controversial, and it is unknown whether physical activity (PA) can modify these associations.

methodsA total of 18,416 US adults with a total of 150047.8 person-years follow-up from the National Health and Nutrition Examination Survey (NHANES) including general population, patients with atherosclerotic cardiovascular disease (ASCVD), and individuals at extreme risk, and 2575 Chinese adults with a total of 10736.8 person-years follow-up from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) including general population and patients with non-communicable diseases (NCDs) were analyzed. Restricted cubic spline, Cox regression models, and mediation analyses were employed to estimate associations between PA, LDL-C, systemic immune-inflammation index (SII) in the NHANES/platelet-to-lymphocyte ratio (PLR) in the CLHLS, and the risk of mortality from all-cause and CVD.

resultsThe combined effects were significant, which included LDL-C with SII on mortality from all-cause and CVD among the general population and ASCVD patients in the NHANES, and LDL-C with PLR on all-cause mortality among NCDs patients in the CLHLS. Compared with participants with LDL-C in tertile 2 (T2) and SII/PLR in T2, the hazard ratios (HRs) and 95% confidence intervals (95%CIs) for all-cause/CVD mortality in participants with LDL-C in T1/T3 and SII/PLR in T1/T3 were 1.47 (1.23-1.76)/1.36 (1.01-1.84), 1.40 (1.06-1.86)/1.67 (1.01-2.75) in the NHANES, and 1.22 (0.96-1.55) for all-cause mortality in the CLHLS, respectively. PA significantly reduced the above-mentioned risks: compared with participants who did not engage in PA, the HRs (95%CIs) for those who engaged in PA were 0.56 (0.48-0.67)/0.54 (0.41-0.71), 0.62 (0.45-0.86)/0.78 (0.50-1.20) in the NHANES, and 0.67 (0.51-0.87) for all-cause mortality in the CLHLS, respectively. LDL-C and inflammation mediated 4.99%-20.01% of the association between PA and mortality from all-cause/CVD.

conclusionsEither low LDL-C level or high inflammation level was associated with increased risk of mortality from all-cause and CVD. Engagement in PA can reduce the above mortality risks related to abnormal levels of LDL-C and inflammation, providing practical implications for public health interventions.

Indexed as

Cardiovascular DiseasesCholesterol, LDLExerciseInflammationAdultAgedAtherosclerosisCohort StudiesFemaleHumansMaleMiddle AgedNutrition SurveysProportional Hazards ModelsRisk FactorsCholesterol, LDLAll-cause mortalityCVD mortalityInflammationLow-density lipoprotein cholesterolPhysical activity

Identifiers

PMID42958341
PMCPMC13721687

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.