Evidence map›Paper›PMID 31608936›Full record

ArticleInternational health2020

Hypertension and diabetes mellitus as risk factors for asthma in Korean adults: the Sixth Korea National Health and Nutrition Examination Survey.

Kyung Hee Lee, Hea Shoon Lee

Open access · hybridAbstract read
In one paragraph

Article in International health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

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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

26 citing papers in PubMed, 40 citations in OpenAlex.

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  9. Diabetes-inducing effects of bronchial asthma.World journal of diabetes · 2025
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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

2 authors at 2 institutions in 1 country.

Kyung Hee LeeDepartment of Dental Hygiene, Division of Health Science, Dongseo University, Busan, South Korea.
Hea Shoon LeeDepartment of Nursing, Hannam University, Daejeon, South Korea.
Dongseo University · KRHannam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma is a chronic inflammatory disease that may associate with other chronic diseases such as hypertension and diabetes. We observed the effects of blood pressure (BP), fasting blood glucose (FBG), haemoglobin A1c (HbA1c) and insulin on asthma in Korean adults.

methodsData from 5045 adults were taken from the 2015 Sixth Korea National Health and Nutrition Examination Survey and analysed using a multiple logistic regression model.

resultsBy age, the probability of asthma occurrence was 1.02 times higher (adjusted odds ratio [aOR] 1.02 [95% CI 1.01 to 1.03]). Specifically, asthma occurrence was increased in individuals >66 years of age (aOR 2.40 [95% CI 1.22 to 4.72]). The probability of asthma occurrence in females was higher than in males (aOR 1.73 [95% CI 1.02 to 2.84]). Hypertension and systolic blood pressure (SBP) were found to increase the probability of asthma occurrence by 1.43- and 1.03-fold, respectively. Diabetes mellitus (DM) was another factor that increased with the occurrence of asthma (aOR 1.75 [95% CI 1.06 to 3.02]). The probability of asthma occurrence was not increased with the FBG level, whereas HbA1c (aOR 1.38 [95% CI 1.03 to 1.84]) and insulin levels (aOR 1.02 [95% CI 1.01 to 1.04]) were shown to increase the occurrence of asthma.

conclusionsAge, sex, hypertension, SBP, DM, HbA1c and insulin levels are all factors that may influence the occurrence of asthma in Korean adults. In particular, hypertension and diabetes emerge from the present study as potential associated factors for the development of asthma.

Indexed as

AdultAgedAsthmaCausalityCross-Sectional StudiesDiabetes MellitusFemaleGlycated HemoglobinHumansHypertensionLogistic ModelsMaleMiddle AgedNutrition SurveysOdds RatioRepublic of KoreaGlycated Hemoglobinasthmablood pressurediabetes mellitushaemoglobin A1chypertensioninsulin

Identifiers

PMID31608936
PMCPMC7322203
OpenAlexW2980390779

What OpenQuestion holds

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LicenceCC BY-NC
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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.