Evidence map›Paper›PMID 41790103›Full record

ArticleJACC. Asia2026

Chinese Population-Wide Lipid Trajectories From Age 20 to 85 Years: Sex- and Adiposity-Specific Patterns.

Yanyan Zhang, Yijin Pei, Yanzhi Yan, Mengyao Liu, Fangchao Liu, Keyong Huang, Shufeng Chen, Jie Cao, Chong Shen, Xiaoqing Liu and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JACC. Asia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

19 authors.

Yanyan ZhangDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
Yijin PeiDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
Yanzhi YanDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
Mengyao LiuDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
Fangchao LiuDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
Keyong HuangDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
Shufeng ChenDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
Jie CaoDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China.
Chong ShenDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Xiaoqing LiuDivision of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou, China.
Ling YuDepartment of Cardiology, Fujian Provincial Hospital, Fuzhou, China.
Zhengyuan ZhouDepartment of Chronic Disease Control and Prevention, Changshu Center for Disease Control and Prevention, Changshu, China.
Liancheng ZhaoDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dongsheng HuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China; Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China.
Jianfeng HuangDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dongfeng GuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China; School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen, China.
Tong WangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China.
Jianxin LiDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China. Electronic address: leeljx@126.com.
Xiangfeng LuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, China. Electronic address: luxf@pumc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExisting studies focused on the association of lipid trajectory classifications with cardiovascular outcomes, whereas the natural life-course pattern and sex-specific modulation by obesity are poorly characterized.

objectivesThis study sought to characterize the sex-specific lipid trajectories and examine the role of obesity indicators in shaping them.

methodsIn a longitudinal cohort of 83,487 Chinese adults (median follow-up: 11.00 years; Q1-Q3:6.80-11.72) with 2-4 repeated lipid measurements, we applied generalized additive mixed model to characterize age-related lipid trajectories and assess modifications by obesity indicators (body mass index and waist circumference).

resultsTotal cholesterol (TC), low-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol (non-HDL-C) exhibited 3-phase trajectory (increase, plateau, slight decrease), whereas triglyceride and remnant cholesterol showed 2-phase (increase, decrease). Female subjects showed delayed trajectory transitions (13-17 years) and more adverse late-adulthood lipid profiles than male subjects did. Obesity indicators were positively associated with elevated lipid levels (all P < 0.001), with stronger association in male subjects than in female subjects (eg, per 1-SD body mass index increase, β-coefficient for TC: 3.43 [95% CI: 3.15-3.71] vs 2.71 [95% CI: 2.48-2.94] mg/dL, respectively; P

conclusionsOur findings highlight sex-specific impact of obesity on lifelong lipid trajectories, suggesting sex- and age-specific strategies for early lipid management and obesity intervention.

Indexed as

lipidobesitysex differencetrajectory

Identifiers

PMID41790103
PMCPMC13491077

What Socratic holds

Textmetadata
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Registered trials

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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.