Better BMI: Novel Digital Anthropometry Equations for Adiposity Assessment in the Chinese Population.

Jialu Zhao, Xia Hu, Shujing Fu, Jialin Wang, Yan Zheng, Chen Chen, Jingchun Luo

Abstract read

In one paragraph

Article in Phenomics (Cham, Switzerland), 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

7 authors.

Jialu ZhaoHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 201203 China.ORCID 0009-0003-9206-1328

Xia HuHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 201203 China.ORCID 0009-0001-5923-8473

Shujing FuHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 201203 China.

Jialin WangHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 201203 China.

Yan ZhengHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 201203 China.ORCID 0000-0003-1129-3147

Chen ChenHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 201203 China.ORCID 0000-0001-7587-3314

Jingchun LuoHuman Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 201203 China.ORCID 0000-0001-5138-6458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global obesity epidemic necessitates improved adiposity assessment alternatives beyond conventional anthropometric indices such as body mass index (BMI), particularly given their limitations in characterizing fat distribution. This study aimed to (1) develop adiposity assessment equations based on digital anthropometry and (2) systematically evaluate our equations against conventional anthropometric indices. We analyzed 1294 participants from the Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-026-00314-4.

Indexed as

AdiposityBMIDigital anthropometryLinear regression

Identifiers

PMID42614477

DOI10.1007/s43657-026-00314-4

PMCPMC13481917

What OpenQuestion 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 OpenQuestion graph.