Evidence map›Paper›PMID 40670603›Full record

ArticleScientific reports2025

Association between total and regional body fat measured by dual-energy X-ray absorptiometry and apolipoprotein B.

Chi Chen, Yimeng Gu, Junfei Xu, Yanyan Xiao, Chao Wang, Yuan Chen, Hui Huang, Qingguang Chen, Yilei Chen, Qi Chen and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Chi Chen *Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528, Zhangheng Road, Shanghai, 201203, China.
Yimeng Gu *Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528, Zhangheng Road, Shanghai, 201203, China.
Junfei XuDepartment of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528, Zhangheng Road, Shanghai, 201203, China.
Yanyan XiaoDepartment of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528, Zhangheng Road, Shanghai, 201203, China.
Chao WangDepartment of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528, Zhangheng Road, Shanghai, 201203, China.
Yuan ChenDepartment of Traditional Chinese Medicine, Henan Provincial People's Hospital, Zhengzhou, China.
Hui HuangDepartment of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528, Zhangheng Road, Shanghai, 201203, China.
Qingguang ChenDepartment of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528, Zhangheng Road, Shanghai, 201203, China.
Yilei ChenDepartment of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528, Zhangheng Road, Shanghai, 201203, China.
Qi ChenDepartment of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Middle Yanchang Road, Shanghai, 200072, China. chenqi911229@163.com.
Ningjian WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639, Zhizaoju Road, Shanghai, 200011, China. wnj486@126.com.
Hao LuDepartment of Endocrinology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528, Zhangheng Road, Shanghai, 201203, China. luhao403@163.com.

Funding

National Natural Science Foundation of China 82100846National Natural Science Foundation of China 82474398Shanghai Municipal Health Commission 20234Y0161the Shanghai Key Laboratory of Chinese Clinical Medicine 20DZ2272200the Shanghai "Rising Stars of Medical Talent" Youth Development Program SHWJRS2024-70
6 · The paper itself

Abstract

Apolipoprotein B (apoB) can be measured directly and accurately, and better predicts atherogenic risk than conventional lipid profiles. We aimed to investigate whether total and regional (trunk or leg) fat deposits are associated with apoB levels in general US adults. 4585 participants were enrolled from the US National Health and Nutritional Surveys from 2011 to 2016. Overall and regional body fat were measured using dual-energy X-ray absorptiometry. The associations of total and regional fat with apoB levels were evaluated using linear regression models. Following adjustment for demographic, lifestyle, and clinical risk factors, whole-body fat percentage was positively associated with apoB levels. Additionally, percent trunk fat was positively associated (highest vs. lowest tertile beta = 17.73 for men and 14.89 for women, respectively), whereas percent leg fat was inversely associated (highest vs. lowest tertile beta = - 4.84 for men and - 6.55 for women, respectively) with apoB levels in both sexes. The association for trunk fat and leg fat remained significant after further adjustment for body mass index or waist circumference. Higher percent trunk fat combined with lower percent leg fat was associated with particularly higher apoB. In conclusion, among general US adults, both elevated trunk fat and reduced leg fat are associated with higher levels of apoB. Further research is required to elucidate the underlying pathophysiological mechanisms.

Indexed as

Absorptiometry, PhotonAdipose TissueApolipoproteins BAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedNutrition SurveysUnited StatesApolipoproteins BApolipoprotein BBody fatDual-energy X-ray absorptiometryNHANES

Identifiers

PMID40670603
PMCPMC12267475

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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 OpenQuestion graph.