Evidence map›Paper›PMID 40620559›Full record

ArticleFrontiers in public health2025

A study on the construction of body fat percentage percentile curve for adults aged 20-79 in China.

Chunjing Tu, Qi Pan, Jinhui Zou, Lihong Liao, Xiaolong Chen, Yuyu Li, Xinzhe Pu, Yuanyuan Ding, Xiwen Luo

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

9 authors.

Chunjing TuSchool of Teacher (Physical) Education, Taizhou University, Taizhou, China.
Qi PanSchool of Physical Education, Hangzhou Normal University, Hangzhou, China.
Jinhui ZouGuangxi Zhuang Fang Autonomous Region Sports Science Research Institute, Guilin, China.
Lihong LiaoJilin Research Institute of Sports Science (Jilin Provincial Anti-Doping Center), Changchun, China.
Xiaolong ChenSchool of Physical Education, Hangzhou Normal University, Hangzhou, China.
Yuyu LiSchool of Physical Education, Hangzhou Normal University, Hangzhou, China.
Xinzhe PuSchool of Physical Education, Hangzhou Normal University, Hangzhou, China.
Yuanyuan DingXinjiang Uygur Autonomous Region Sports Science Research Institute, Wulumuqi, China.
Xiwen LuoSchool of Teacher (Physical) Education, Taizhou University, Taizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To establish age-specific Body Fat Percentage (BFP) percentile curves for Chinese adults aged 20-79 years, providing a reference tool for accurate BFP assessment and the prediction and prevention of obesity. Methods: Based on the data from 29,064 individuals obtained through the National Physical Fitness Surveillance (NPFS) in four provinces across China (East, South, West, and North), GAMLSS (Generalized Additive Models for Location Scale and Shape) was used to construct gender- and age- specific BFP percentile curves, and obesity cut-off points were defined. Results: First, age-specific BFP percentile curves were established for the P3, P5, P10, P25, P40, P50, P60, P75, P90, P95, P97 percentiles, and standardized Z-score curve for-3SD, -2SD, -SD, 0SD, +1SD, +2SD, and +3SD. Second, among Chinese adults aged 20-79 years, BFP increased with age before decreasing, with the peak occurring earlier for men than for women. The inflection points for men and women occurred at ages 65 and 73, respectively, with a difference of 8 years. Across all age groups, BFP percentiles for men were consistently lower than those for women. Third, the 75th percentile was identified as the cut-off point for BFP in defining obesity. The cut-off BFP for men across age groups ranged from 27.8-33.5%, and the cut-off for women ranged from 29.2-36.8%. Conclusion: The age-specific BFP percentile curves formulated in this study allow for the personalized and precise assessment of obesity in middle-aged and older adults. They also enable early prediction and risk warning of obesity in the older age groups. The findings support national goals such as "early intervention" and "precise assessment" and are recommended for use in practical settings to evaluate BFP and obesity in middle-aged and older adult populations in China.

Indexed as

Adipose TissueObesityAdultAgedAge FactorsBody Mass IndexChinaFemaleHumansMaleMiddle AgedYoung Adult20–79 years old middle-aged and older adultbody fat percentagecritical valueGAMLSS modelpercentile curve

Identifiers

PMID40620559
PMCPMC12226293

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.