Evidence map›Paper›PMID 38291494›Full record

ArticleJournal of physiological anthropology2024

Sleep and allergic diseases among young Chinese adults from the Singapore/Malaysia Cross-Sectional Genetic Epidemiology Study (SMCGES) cohort.

Qi Yi Ambrose Wong, Jun Jie Lim, Jun Yan Ng, Yi Ying Eliza Lim, Yang Yie Sio, Fook Tim Chew

Open access · goldAbstract read
In one paragraph

Article in Journal of physiological anthropology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Qi Yi Ambrose WongDepartment of Biological Sciences, Faculty of Science, National University of Singapore, Allergy and Molecular Immunology Laboratory, Lee Hiok Kwee Functional Genomics Laboratories, Block S2, Level 5, 14 Science Drive 4, Lower Kent Ridge Road, Singapore, 117543, Singapore.
Jun Jie LimDepartment of Biological Sciences, Faculty of Science, National University of Singapore, Allergy and Molecular Immunology Laboratory, Lee Hiok Kwee Functional Genomics Laboratories, Block S2, Level 5, 14 Science Drive 4, Lower Kent Ridge Road, Singapore, 117543, Singapore.
Jun Yan NgDepartment of Biological Sciences, Faculty of Science, National University of Singapore, Allergy and Molecular Immunology Laboratory, Lee Hiok Kwee Functional Genomics Laboratories, Block S2, Level 5, 14 Science Drive 4, Lower Kent Ridge Road, Singapore, 117543, Singapore.
Yi Ying Eliza LimDepartment of Biological Sciences, Faculty of Science, National University of Singapore, Allergy and Molecular Immunology Laboratory, Lee Hiok Kwee Functional Genomics Laboratories, Block S2, Level 5, 14 Science Drive 4, Lower Kent Ridge Road, Singapore, 117543, Singapore.
Yang Yie SioDepartment of Biological Sciences, Faculty of Science, National University of Singapore, Allergy and Molecular Immunology Laboratory, Lee Hiok Kwee Functional Genomics Laboratories, Block S2, Level 5, 14 Science Drive 4, Lower Kent Ridge Road, Singapore, 117543, Singapore.
Fook Tim ChewDepartment of Biological Sciences, Faculty of Science, National University of Singapore, Allergy and Molecular Immunology Laboratory, Lee Hiok Kwee Functional Genomics Laboratories, Block S2, Level 5, 14 Science Drive 4, Lower Kent Ridge Road, Singapore, 117543, Singapore. dbscft@nus.edu.sg.ORCID http://orcid.org/0000-0003-1337-5146
National University of Singapore · SG

Funding

Agency for Science Technology and Research (A*STAR) (Singapore) APG2013/108Agency for Science Technology and Research (A*STAR) (Singapore) H17/01/a0/008Biomedical Research Council (BMRC) (Singapore) BMRC/01/1/21/18/077Biomedical Research Council (BMRC) (Singapore) BMRC/04/1/21/19/315Biomedical Research Council (BMRC) (Singapore) BMRC/APG2013/108National Medical Research Council (NMRC) (Singapore) NMRC/1150/2008National Research Foundation (NRF) (Singapore) NRF-MP-2020-0004National University of Singapore N-154-000-038-001Singapore Food Agency (SFA) SFS_RND_SUFP_001_04Singapore Food Agency (SFA) W22W3D0006Singapore Immunology Network SIgN-06-006Singapore Immunology Network SIgN-08-020Singapore Ministry of Education Academic Research Fund R-154-000-191-112Singapore Ministry of Education Academic Research Fund R-154-000-404-112Singapore Ministry of Education Academic Research Fund R-154-000-553-112Singapore Ministry of Education Academic Research Fund R-154-000-565-112Singapore Ministry of Education Academic Research Fund R-154-000-630-112Singapore Ministry of Education Academic Research Fund R-154-000-A08-592Singapore Ministry of Education Academic Research Fund R-154-000-A27-597Singapore Ministry of Education Academic Research Fund R-154-000-A91-592Singapore Ministry of Education Academic Research Fund R-154-000-A95-592Singapore Ministry of Education Academic Research Fund R154-000-B99-114
6 · The paper itself

Abstract

BACKGROUND AND

objectiveSleep disruption has been shown to affect immune function and thus influence allergic disease manifestation. The specific effects of sleep on allergic diseases, however, are less well-established; hence, in a unique population of young Chinese adults, we investigated the association between sleep and allergic disease.

methodsYoung Chinese adults recruited from Singapore in the Singapore/Malaysia Cross-Sectional Genetic Epidemiology Study (SMCGES) were analyzed. We used the International Study of Asthma and Allergies in Childhood (ISAAC) protocol and a skin prick test to determine atopic dermatitis (AD), allergic rhinitis (AR), and asthma status. Information regarding total sleep time (TST) and sleep quality (SQ) was also obtained.

resultsOf 1558 participants with a mean age of 25.0 years (SD = 7.6), 61.4% were female, and the mean total sleep time (TST) was 6.8 h (SD = 1.1). The proportions of AD, AR, and asthma were 24.5% (393/1542), 36.4% (987/1551), and 14.7% (227/1547), respectively. 59.8% (235/393) of AD cases suffered from AD-related sleep disturbances, 37.1% (209/564) of AR cases suffered from AR-related sleep disturbances, and 25.1% (57/227) of asthma cases suffered from asthma-related sleep disturbances. Only asthma cases showed a significantly lower mean TST than those without asthma (p = 0.015). Longer TST was significantly associated with lower odds of AR (OR = 0.905, 95% CI = 0.820-0.999) and asthma (OR = 0.852, 95% CI = 0.746-0.972). Linear regression analyses showed that lower TST was significantly associated with asthma (β =  - 0.18, SE = 0.076, p-value = 0.017), and AR when adjusted for AR-related sleep disturbances (β =  - 0.157, SE = 0.065, p-value = 0.016). Only sleep disturbances due to AR were significantly associated with a poorer SQ (OR = 1.962, 95% CI = 1.245-3.089).

conclusionsWe found that sleep quality, but not sleep duration was significantly poorer among AD cases, although the exact direction of influence could not be determined. In consideration of the literature coupled with our findings, we posit that TST influences allergic rhinitis rather than vice versa. Finally, the association between TST and asthma is likely mediated by asthma-related sleep disturbances, since mean TST was significantly lower among those with nighttime asthma symptoms. Future studies could consider using objective sleep measurements coupled with differential expression analysis to investigate the pathophysiology of sleep and allergic diseases.

Indexed as

AsthmaDermatitis, AtopicRhinitis, AllergicAdultChinaCross-Sectional StudiesFemaleHumansMalaysiaMaleMolecular EpidemiologySingaporeSleepAllergic rhinitisAsthmaAtopic dermatitisISAACSleep

Identifiers

PMID38291494
PMCPMC10826209
OpenAlexW4391350316

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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.