Evidence map›Paper›PMID 36380724›Full record

ArticleThe clinical respiratory journal2023

Characteristics and difference of respiratory diseases in Korean adults aged ≥40 years: A cross-sectional study.

Yoon Jae Won, Sook-Hyun Lee, Yu-Cheol Lim, Yoon Jae Lee, Maurits Van den Noort, Beom-Joon Lee, In-Hyuk Ha

Open access · goldAbstract read
In one paragraph

Article in The clinical respiratory journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
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 at 4 institutions in 1 country.

Yoon Jae WonJaseng Hospital of Korean Medicine, Seoul, Republic of Korea.
Sook-Hyun LeeJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul, Republic of Korea.
Yu-Cheol LimJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-8601-3117
Yoon Jae LeeJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul, Republic of Korea.
Maurits Van den NoortResearch Group of Pain and Neuroscience, WHO Collaborating Center for Traditional Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul, Republic of Korea.
Beom-Joon LeeDepartment of Internal Korean Medicine, Kyung Hee University Korean Medicine Hospital, Seoul, Republic of Korea.
In-Hyuk HaJaseng Spine and Joint Research Institute, Jaseng Medical Foundation, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-5020-6723
Jaseng Medical Foundation · KRJaseng Hospital of Korean Medicine · KRKyung Hee University · KRKyung Hee University Medical Center · KR

Funding

Korea Health Industry Development Institute HI20C1205
6 · The paper itself

Abstract

purposeNational big data pertaining to the status of common respiratory diseases is essential to devising appropriate policies to promote proper treatment and prevention of respiratory diseases amid the prolonged coronavirus disease 2019 (COVID-19) pandemic. The aim of this study is to investigate the prevalence of common respiratory diseases and their association with sociodemographic characteristics, comorbidities, and medical history using 11 years (2008-2018) of the Korea National Health and Nutrition Examination Survey (KNHANES) data, ultimately to present foundational data for policy decision making and disease prevention measures.

methodsAmong the participants of the KNHANES survey (2008-2018), 93 028 adults aged ≥40 years who underwent a lung function test were included in this cross-sectional study. The participants were divided into four groups: Asthma, chronic obstructive pulmonary disease (COPD), asthma + COPD, and no respiratory disease. Their data were analyzed for demographic factors, health behavior, and disease-related factors. Multiple logistic regression was used to calculate the odds ratio (OR) adjusted for sex, age, household income, educational level, occupation, body mass index (BMI), smoking status, alcohol consumption, physical activity, and comorbidities.

resultsOf all participants, 1.83%, 12.63%, and 1.27% had only asthma, only COPD, and asthma + COPD, respectively. With respect to the patients with asthma who also had asthma + COPD, the OR of asthma + COPD was 5.272 in underweight patients and 6.479 in patients aged ≥70 years. Meanwhile, a high association between COPD and asthma + COPD was found in female patients, whereas asthma was more highly associated with asthma + COPD in male patients.

conclusionThe study confirmed that old age, sex, smoking status, BMI, previous history of atopic dermatitis, and lung cancer were independent risk factors for asthma, COPD, and asthma + COPD. The present study demonstrated the need for a multidisciplinary integrative approach to respiratory diseases, and the findings could be used for developing policies for the treatment of COVID-19 and respiratory diseases and the prevention of infectious diseases.

Indexed as

AsthmaCOVID-19Pulmonary Disease, Chronic ObstructiveRespiration DisordersAdultCross-Sectional StudiesFemaleHumansMaleNutrition SurveysPrevalenceRepublic of KoreaRisk FactorsasthmaCOPDKNHANESKorean National Health and Nutrition Examination Survey

Identifiers

PMID36380724
PMCPMC9829619
OpenAlexW4309166641

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.