Evidence map›Paper›PMID 34272443›Full record

ArticleScientific reports2021

Non-linear association of anthropometric measurements and pulmonary function.

Rui-Heng Zhang, Jian-Bo Zhou, Yao-Hua Cai, Lin-Ping Shu, Jinkui Yang, Wenbin Wei, Albert Lecube

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Observational
  14. Association of Obesity and Severe Asthma in Adults.Journal of clinical medicine · 2024
    Review
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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

7 authors.

Rui-Heng Zhang *Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Jian-Bo Zhou *Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China. jbzhou@ccmu.edu.cn.
Yao-Hua CaiBeijing Tongren Hospital, Capital Medical University, Beijing, China.
Lin-Ping ShuBeijing Tongren Hospital, Capital Medical University, Beijing, China.
Jinkui YangDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Wenbin WeiDepartment of Opthalmology, Beijing Tongren Hosptial, Capital Medical University, Beijing, China.
Albert LecubeObesity, Diabetes and Metabolism Research Group (ODIM), Endocrinology and Nutrition Department, Institut de Recerca Biomèdica de Lleida (IRBLleida), Hospital Universitari Arnau de Vilanova, Universitat de Lleida, Lleida, Catalonia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the association of anthropometric measurements [body mass index (BMI), waist circumference (WC), percentage body fat (PBF), body roundness index (BRI) and A Body Shape Index (ABSI)] with pulmonary function using a United States national cohort. This cross-sectional study included 7346 participants. The association between anthropometric measurements and pulmonary function was assessed by multivariable linear regression. Where there was evidence of non-linearity, we applied a restricted cubic spline to explore the non-linear association. All analyses were weighted to represent the U.S. population and to account for the intricate survey design. After adjusting for age, race, education, smoking, and physical activity, both underweight and obesity were associated with reduced forced expiratory volume in 1 s (FEV

Indexed as

Adipose TissueAdultAgedAnthropometryArea Under CurveBody CompositionBody Mass IndexCorrelation of DataCross-Sectional StudiesFemaleHumansLinear ModelsLungMaleMiddle AgedMultivariate Analysis

Identifiers

PMID34272443
PMCPMC8285490

What OpenQuestion holds

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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.