Evidence map›Paper›PMID 38867213›Full record

ArticleLipids in health and disease2024

Non-linear association of atherogenic index of plasma with bone mineral density a cross-sectional study.

Bo Xu, Guoliang Ma, Liu Yang, Xin Chen, Bo Bian, Bowen Yang, Dian Zhang, Xiaokuan Qin, Liguo Zhu, He Yin and 2 more

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Bo Xu *Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
Guoliang Ma *Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
Liu YangDepartment of Dermatology, Guanganmen Hospital, China Academy of Chinese, Medical Sciences, Beijing, China.
Xin ChenDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
Bo BianTraditional Chinese Medical College, North China University of Science and Technology, Tangshan, Hebei, China.
Bowen YangDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
Dian ZhangDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
Xiaokuan QinDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
Liguo ZhuDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
He YinDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China. milkywaymoon@163.com.
Xu WeiDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China. weixu.007@163.com.
Minshan FengDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China. fengminshan@hotmail.com.

Funding

Beijing Science and Technology Commission AI+ Health Collaborative Innovation cultivation Project Research and Development and Clinical Application of Intelligent Assistant diagnosis and treatment platform for Cervical Spondylosis based on the inheritance of famous traditional Chinese Medicine No. Z221100003522009Foundation for Innovative Research Groups of the National Natural Science Foundation of China 82205151Special project for training outstanding young scientific and technological talents (innovative) in basic scientific research business expenses of the Chinese Academy of Traditional Chinese Medicine ZZ16-YQ-025Special topic selected independently by Wangjing Hospital of Chinese Academy of Traditional Chinese Medicine No. WJYY-ZZXT-2022 -08The Fundamental Research Funds for the Central Public Welfare Research Institutes ZZ13‑YQ‑039
6 · The paper itself

Abstract

introductionAlthough there has been abundant evidence of the association between dyslipidemia as a single factor and osteoporosis, the non-linear relationship between osteoporosis and the Atherogenic Index of Plasma (AIP) has not yet been thoroughly investigated. This study aimed to investigate the complex relationship between AIP and bone mineral density (BMD) to elucidate their interrelationship.

methodsAn analysis of 2007-2018 National Health and Nutrition Survey (NHANES) data was conducted for this study. The study enrolled 5,019 participants. Logarithmically multiplying triglycerides and high-density lipoprotein cholesterol yields the AIP (base 10). The measured variables consisted of BMD in the total femur (TF), femoral neck (FN), and lumbar spine (LS). The association between AIP and BMD was examined using a range of statistical models, such as weighted multivariable logistic regression, generalized additive model, etc.

resultsIt was found that AIP was positively associated with BMD after adjusting for age, gender, race, socioeconomic status, degree of education, income, Consuming alcoholic beverages, osteoporosis status (Yes or No), ALT, AST, serum creatinine, and total calcium levels. Further studies supported the association link between elevated BMD and AIP. Furthermore, compared to men, females had a higher positive connection between AIP and BMD. In general, there was a curve in the reverse L-shape seen, with a point of change around 0.877, indicating a relationship between AIP and TF BMD. Moreover, a curve exhibiting an L-formed pattern, with a point of inflection at around 0.702, was seen between AIP and FN BMD. In addition, a J-shaped curve was seen, with a point of inflection at 0.092, which demonstrates the association between AIP and LS BMD.

conclusionThe AIP and TF BMD curves resemble inverted L shapes, as do the AIP and FN BMD curves. The relationship between AIP and LS BMD was further demonstrated by a J-shaped curve. The results indicate a possible association between AIP and bone mineral density, which should be explored in more detail.

Indexed as

AtherosclerosisBone DensityOsteoporosisAdultAgedCholesterol, HDLCross-Sectional StudiesFemaleFemurFemur NeckHumansLumbar VertebraeMaleMiddle AgedNutrition SurveysTriglyceridesCholesterol, HDLTriglyceridesAtherogenic index of plasmaBone mineral densityCross-sectional studyNHANESOsteoporosis

Identifiers

PMID38867213
PMCPMC11167925

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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.