Evidence map›Paper›PMID 39449075›Full record

ArticleBMC research notes2024

Exploring the correlation between body mass index and lung function test parameters: a cross-sectional analytical study.

Waheed Hussein Elsaidy, Sultan Abdullah Alzahrani, Sami Mohammed Boodai

Abstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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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

3 authors.

Waheed Hussein ElsaidyDepartment of Public Health and Community Medicine, Damietta Faculty of Medicine, Al- Azhar University, Cairo, Egypt. dr.wahid81@gmail.com.ORCID http://orcid.org/0000-0002-3566-3141
Sultan Abdullah AlzahraniOccupational Medicine physician, Sadara Chemical Company, Eastern province, Jubail, Saudi Arabia.ORCID http://orcid.org/0009-0001-7775-3460
Sami Mohammed BoodaiSadara Chemical Company, Eastern province, Jubail, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe correlation between body weight and health is a significant public health concern. While the adverse effects of obesity on pulmonary function are well-known, the impact of being underweight remains debated due to limited research. This study aimed to investigate the correlation between Body Mass Index (BMI) categories and lung function parameters.

resultsA study of 3077 participants found significant differences in gender, age, height, and weight across various Body Mass Index (BMI) categories. The study found non-significant variations in forced expiratory flow (FVC) across BMI categories, with underweight individuals showing lower FVC compared to normal and overweight individuals. BMI significantly impacted mean forced expiratory flow during the middle half of FVC. A significant negative correlation was observed between age and FVC, FEV1, FEV1/FVC ratio, and FEF25-75. A significant positive correlation was observed between weight, height, and lung function parameters. Multiple regression analysis revealed a decrease in lung function with advancing age, while height showed significant positive associations. The study concluded that age, sex, smoking, height, and weight collectively explained 41.0% of the variance in FVC, FEV, and FEF25-75.

Indexed as

Body Mass IndexLungRespiratory Function TestsAdolescentAdultAgedBody WeightCross-Sectional StudiesFemaleForced Expiratory VolumeHumansMaleMiddle AgedOverweightThinnessVital CapacityBody Mass IndexObesityPulmonary functionSpirometryUnderweight

Identifiers

PMID39449075
PMCPMC11515375

What OpenQuestion holds

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Registered trials

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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.