Evidence map›Paper›PMID 36741570›Full record

ArticleFrontiers in psychiatry2022

Long-term bidirectional association between asthma and attention deficit hyperactivity disorder: A big data cohort study.

Hye Jin Park, Young Hyeon Kim, Da Ye Na, Seong Won Jeong, Min Gyu Lee, Jong-Hwan Lee, Yun Na Yang, Min Gu Kang, Sang Woo Yeom, Jong Seung Kim

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. 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

10 authors at 1 institution in 1 country.

Hye Jin ParkDepartment of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Young Hyeon KimDepartment of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Da Ye NaDepartment of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Seong Won JeongDepartment of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Min Gyu LeeDepartment of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Jong-Hwan LeeDepartment of Otorhinolaryngology, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Yun Na YangDepartment of Otorhinolaryngology, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Min Gu KangDepartment of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Sang Woo YeomDepartment of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Jong Seung KimDepartment of Medical Informatics, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Jeonbuk National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have argued that attention deficit hyperactivity disorder (ADHD) is associated with asthma. However, reliable evidence to verify this association has not yet been reported. Objectives: To investigate the bidirectional association between asthma and ADHD through a 12-year big data cohort study. Methods: The independent variable group was extracted from 3.5 million individuals randomly sampled by the National Health Insurance Service (NHIS). In Study 1, the incidence of ADHD according to asthma was evaluated, while in Study 2, the incidence of asthma according to ADHD was analyzed. Propensity score (PS) matching with several variables was used to obtain a control group. Measurements and main results: In Study 1, the asthma group included 131,937 individuals and the non-asthma group included 131,937 individuals. The adjusted hazard ratio (aHR) for ADHD in the asthma group was 1.17 [95% confidence interval (CI): 1.11-1.23]. In subgroup analysis, the aHRs for ADHD of individuals in the subgroups male sex, 0-5 years old, 6-10 years old, atopic dermatitis, allergic rhinitis, Charlson comorbidity index (CCI) 1, and CCI > 2 were significant (aHR: 2.83, 1.70, 1.79, 1.09, 1.15, 1.06, and 1.49, respectively). In Study 2, ADHD was found to significantly affect asthma in all age groups (aHRs of the subgroups 0∼60 and 0∼17 years old were 1.10 and 1.09, respectively). In the 0∼17 years old subgroup, the association of ADHD with asthma was greater with younger age (aHRs of the subgroups 0∼5 and 6∼10 years old were 2.53 and 1.54, respectively). Conclusion: From long-term follow-up, the incidence of ADHD was 1.17 times higher in the asthma group than in the control group. The incidence of asthma was 1.10 times higher in the ADHD group than in the control group. Asthma and ADHD have a bidirectional relationship, and childhood asthma and ADHD should be rigorously managed.

Indexed as

ADHDasthmacohort studyNational Health Insurance Service (NHIS)psychiatry

Identifiers

PMID36741570
PMCPMC9893024
OpenAlexW4317402629

What OpenQuestion holds

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LicenceCC BY
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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.