Evidence map›Paper›PMID 41877051›Full record

ArticleBMC public health2026

Quantifying the interaction between adiposity and hyperglycemia on incident asthma among youth.

Guobo Li, Yingying Lin, Zhiwei Wu, Jingmin Guo

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

4 authors.

Guobo Li *Department of Child Healthcare Centre, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Yingying Lin *Department of Healthcare, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Zhiwei WuDepartment of Obstetrics and Gynaecology, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China. 752276224@qq.com.
Jingmin GuoDepartment of Child Healthcare Centre, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China. jingminguo@yeah.net.

Funding

Joint Funds for the Innovation of Science and Technology, Fujian Province 2024Y9562Scientific and Technological Innovation Startup Fund, Fujian Maternity and Child Health Hospital YCXB 23-01
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the association between overweight and diabetes with childhood asthma and to assess potential synergistic effects among these conditions.

methodsThis cross - sectional study analyzed 14,281 US children aged 2–17 years (NHANES 1999–2023). Active asthma was defined as the outcome. Overweight and diabetes were the exposure variables. Multivariable logistic regression models were used to assess the association between overweight, diabetes, and asthma risk. The models were adjusted for demographics, HDL, hypertension, poverty - income ratio, and physical activity.

resultsBoth overweight and diabetes were associated with increased asthma risk in children, with an interaction effect between the two conditions. After adjusting for confounders, children with both overweight and diabetes had a significantly increased asthma risk (OR 3.861, 95% CI 1.02–14.63). Subgroup analysis demonstrated that the positive association between overweight/diabetes and asthma risk remained consistent across most demographic and clinical strata, with no significant interactions observed, confirming the robustness of the findings across diverse populations.

conclusionAdiposity and hyperglycaemia synergistically amplify childhood asthma risk, especially in adolescents and inactive youth, underscoring integrated metabolic–respiratory prevention strategies.

Indexed as

AdiposityAsthmaHyperglycemiaAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansIncidenceMaleNutrition SurveysOverweightRisk FactorsUnited StatesAsthmaChildrenDiabetesNational Health and Nutrition Examination SurveyOverweight

Identifiers

PMID41877051
PMCPMC13137640

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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.