Evidence map›Paper›PMID 35439874›Full record

ArticleAsian journal of andrology

Associations of sex hormone levels with body mass index (BMI) in men: a cross-sectional study using quantile regression analysis.

Xin Lv, Yu-Ting Jiang, Xin-Yue Zhang, Lei-Lei Li, Hong-Guo Zhang, Rui-Zhi Liu

Open access · goldAbstract read
In one paragraph

Article in Asian journal of andrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Sex and Gender Perspective in Obesity and Gastric Cancer.The world journal of men's health · 2026
    Review
  2. Beyond Weight Loss: Skeletal Considerations in Obesity Treatment.Endocrinology and metabolism (Seoul, Korea) · 2026
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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

6 authors at 1 institution in 1 country.

Xin LvCenter of Reproductive Medicine and Center of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun 130021, China.
Yu-Ting JiangCenter of Reproductive Medicine and Center of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun 130021, China.
Xin-Yue ZhangCenter of Reproductive Medicine and Center of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun 130021, China.
Lei-Lei LiCenter of Reproductive Medicine and Center of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun 130021, China.
Hong-Guo ZhangCenter of Reproductive Medicine and Center of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun 130021, China.
Rui-Zhi LiuCenter of Reproductive Medicine and Center of Prenatal Diagnosis, The First Hospital of Jilin University, Changchun 130021, China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body mass index (BMI) has been increasing globally in recent decades. Previous studies reported that BMI was associated with sex hormone levels, but the results were generated via linear regression or logistic regression, which would lose part of information. Quantile regression analysis can maximize the use of variable information. Our study compared the associations among different regression models. The participants were recruited from the Center of Reproductive Medicine, The First Hospital of Jilin University (Changchun, China) between June 2018 and June 2019. We used linear, logistic, and quantile regression models to calculate the associations between sex hormone levels and BMI. In total, 448 men were included in this study. The average BMI was 25.7 (standard deviation [s.d.]: 3.7) kg m

Indexed as

EstradiolGonadal Steroid HormonesBody Mass IndexCross-Sectional StudiesHumansMaleRegression AnalysisTestosteroneEstradiolGonadal Steroid HormonesTestosteronebody mass indexestradiolobesityoverweighttestosterone

Identifiers

PMID35439874
PMCPMC9933972
OpenAlexW4224251438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.