Evidence map›Paper›PMID 41993853›Full record

ArticleFrontiers in cardiovascular medicine2026

Association between blood lipid levels, BMI, and hypertension among employees in petrochemical enterprises.

Qingsong Li, Haobiao Liu, Xuefeng Yu, Jing Tang, Licheng Yang, Yingjie Cai, Zhihao Yang, Lianxu Jia, Ziwei Guo, Jing Han

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 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

10 authors.

Qingsong LiXi'an Gem Flower Changqing Hospital, Xi'an, Shaanxi, China.
Haobiao LiuDepartment of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xuefeng YuDepartment of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Jing TangDepartment of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Licheng YangDepartment of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yingjie CaiDepartment of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Zhihao YangDepartment of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Lianxu JiaXi'an Gem Flower Changqing Hospital, Xi'an, Shaanxi, China.
Ziwei GuoXi'an Gem Flower Changqing Hospital, Xi'an, Shaanxi, China.
Jing HanDepartment of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the combined effects of dyslipidemia, lipid parameters, non-traditional lipid markers, and body mass index (BMI) on hypertension incidence among petrochemical workers. Methods: This retrospective cohort study analyzed associations between lipid markers, BMI, and incident hypertension using multivariable logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Dose-response relationships were examined with restricted cubic spline models. Results: Dyslipidemia was associated with increased hypertension risk, with stronger associations in men. Elevated TC, TG, and LDL-C were significantly associated with hypertension in men, whereas only TG was significant in women. High LDL-C independently increased hypertension risk in the total population and in men. Increasing quartiles of TC and TG showed clear linear dose-response relationships. In men, hypertension risk rose with the number of coexisting lipid abnormalities. Non-traditional lipid markers (non-HDL-C, TG/HDL-C ratio, and TyG index) were positively associated with hypertension and exhibited linear dose-response patterns. Overweight and obesity further increased risk, particularly when combined with dyslipidemia. Conclusion: Adverse lipid profiles, non-traditional lipid markers, and excess body weight are important determinants of hypertension risk in this occupational cohort.

Indexed as

BMIdyslipidemiahypertensionnon-traditional lipid markerspetrochemical enterprises

Identifiers

PMID41993853
PMCPMC13079123

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.