Evidence map›Paper›PMID 26873793›Full record

ArticleAmerican journal of preventive medicine2016

Asthma-Related School Absenteeism, Morbidity, and Modifiable Factors.

Joy Hsu, Xiaoting Qin, Suzanne F Beavers, Maria C Mirabelli

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. A pilot school-based health center intervention to improve asthma chronic care in high-poverty schools.The Journal of asthma : official journal of the Association for the Care of Asthma · 2022
    Trial
  5. Unexpected results of a randomized quality improvement program for children with severe asthma.The Journal of asthma : official journal of the Association for the Care of Asthma · 2021
    Trial
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Review
  14. Leveraging artificial intelligence for the management of preschool wheeze: A narrative review.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025
    Review
  15. Article
  16. Review
  17. Association of daily steps over time with adult asthma incidence.The Journal of allergy and clinical immunology · 2025
    Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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.

Joy HsuEpidemic Intelligence Service, Office of Public Health Scientific Services, CDC, Atlanta, Georgia;. Electronic address: xdd6@cdc.gov.
Xiaoting QinAir Pollution and Respiratory Health Branch, Division of Environmental Hazards and Health Effects, National Center for Environmental Health, CDC, Atlanta, Georgia.
Suzanne F BeaversAir Pollution and Respiratory Health Branch, Division of Environmental Hazards and Health Effects, National Center for Environmental Health, CDC, Atlanta, Georgia.
Maria C MirabelliAir Pollution and Respiratory Health Branch, Division of Environmental Hazards and Health Effects, National Center for Environmental Health, CDC, Atlanta, Georgia.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionAsthma is a leading cause of chronic disease-related school absenteeism. Few data exist on how information on absenteeism might be used to identify children for interventions to improve asthma control. This study investigated how asthma-related absenteeism was associated with asthma control, exacerbations, and associated modifiable risk factors using a sample of children from 35 states and the District of Columbia.

methodsThe Behavioral Risk Factor Surveillance System Child Asthma Call-back Survey is a random-digit dial survey designed to assess the health and experiences of children aged 0-17 years with asthma. During 2014-2015, multivariate analyses were conducted using 2006-2010 data to compare children with and without asthma-related absenteeism with respect to clinical, environmental, and financial measures. These analyses controlled for sociodemographic and clinical characteristics.

resultsCompared with children without asthma-related absenteeism, children who missed any school because of asthma were more likely to have not well controlled or very poorly controlled asthma (prevalence ratio=1.50; 95% CI=1.34, 1.69) and visit an emergency department or urgent care center for asthma (prevalence ratio=3.27; 95% CI=2.44, 4.38). Mold in the home and cost as a barrier to asthma-related health care were also significantly associated with asthma-related absenteeism.

conclusionsMissing any school because of asthma is associated with suboptimal asthma control, urgent or emergent asthma-related healthcare utilization, mold in the home, and financial barriers to asthma-related health care. Further understanding of asthma-related absenteeism could establish how to most effectively use absenteeism information as a health status indicator.

Indexed as

AbsenteeismAdolescentAsthmaBehavioral Risk Factor Surveillance SystemChildChild, PreschoolChronic DiseaseDistrict of ColumbiaFemaleHumansMalePatient Acceptance of Health CarePrevalenceRisk FactorsSchoolsSurveys and Questionnaires

Identifiers

PMID26873793
PMCPMC4914465

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.