Evidence mapPaperPMID 40260279Full record

ArticleFrontiers in endocrinology2025

Association between A body shape index and bone mineral density in middle-aged and elderly adults: a retrospective analysis of NHANES 2005-2018.

Zhi-Zhuang Wang, Guo-Liang Ma, Bo Xu, Xin Chen, Bo-Wen Yang, Xiao-Kuan Qin, Wei-Li Duan, Min-Shan Feng, He Yin, Kai Sun and 1 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

11 authors.

Zhi-Zhuang Wang *Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Guo-Liang Ma *Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Bo Xu *Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xin ChenDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Bo-Wen YangDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Xiao-Kuan QinDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Wei-Li DuanNanyang Hospital, Wangjing Hospital, Chinese Academy of Traditional Chinese Medicine (Dushan Hospital District), Henan, China.
Min-Shan FengDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
He YinDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Kai SunDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Li-Guo ZhuDepartment of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite accumulating evidence on central obesity and osteoporosis, the role of a body shape index (ABSI), a nonlinear index quantifying body shape via body mass index (BMI), waist circumference (WC), and height, remains controversial and underexplored. Although recent meta-analyses suggest central obesity may modulate fracture risk bidirectionally, no research has comprehensively compared ABSI with traditional adiposity metrics, such as BMI, WC, and waist-to-height ratio (WHtR), to predict site-specific changes in bone mineral density (BMD) across anatomical regions. Methods: This study utilized National Health and Nutrition Examination Survey (NHANES) data from 2005 to 2018, involving 12,421 participants. ABSI was computed using the formula: ABSI = WC/(BMI²/³ × Height¹/²). BMD was assessed at four sites-the total femur (TF), femoral neck (FN), trochanter (TR), and intertrochanter (IN) regions-via dual-energy X-ray absorptiometry (DXA). The association between ABSI and BMD was analyzed via multiple regression models and a generalized additive model (GAM). To compare ABSI's predictive efficacy with conventional adiposity indices, regression analyses juxtaposed ABSI against BMI, WC, and WHtR in assessing correlations with site-specific BMD. Results: After full covariate adjustment, a significant negative association was observed between ABSI and BMD in four femoral regions ( Conclusion: ABSI's robust inverse associations with femoral BMD (β = -0.27 to -0.31), persisting across nonlinear threshold analyses, establish it as a novel biomarker of central adiposity-related skeletal fragility. Unlike conventional indices reflecting mechanical loading benefits (BMI β = 0.008-0.012; WC β = 0.003-0.005; WHtR β = 0.41-0.69), ABSI specifically captures visceral fat-driven metabolic disorder-a critical pathway for osteoporosis risk stratification in normal-weight and obese populations.

Indexed as

Body Mass IndexBone DensityAbsorptiometry, PhotonAdiposityAgedFemaleHumansMaleMiddle AgedNutrition SurveysOsteoporosisRetrospective StudiesWaist Circumferenceabdominal obesityA body shape indexbone mineral densityNHANESosteoporosis

Identifiers

PMID40260279
PMCPMC12009725

What Socratic holds

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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.