Evidence map›Paper›PMID 34529643›Full record

ArticleMorbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002)2021

Asthma Surveillance - United States, 2006-2018.

Cynthia A Pate, Hatice S Zahran, Xiaoting Qin, Carol Johnson, Erik Hummelman, Josephine Malilay

Open access · diamondAbstract read
In one paragraph

Article in Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 200 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
200citing papers in PubMed, 6 pooled it
23.0field-weighted citation impact, top 1% 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

200 citing papers in PubMed, 6 syntheses or guidelines pooled it, 318 citations in OpenAlex.

  1. Pooled it
  2. Long-Term PMAnnals of the American Thoracic Society · 2025
    Pooled it
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  7. Trial
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  10. Implementation of Coach McLungsBMC medical informatics and decision making · 2022
    Trial
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Racial Differences in Patterns of Long-Term Conditions Among Adults With Asthma.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
    Article
  18. Article
  19. Review
  20. Outcomes of a Remote Multi-Component Asthma Intervention for Children in Low-income Latine Communities.Hispanic health care international : the official journal of the National Association of Hispanic Nurses · 2026
    Article

140 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

6 authors at 1 institution in 1 country.

Cynthia A PateDivision of Environmental Health Science and Practice, National Center for Environmental Health, CDC.
Hatice S ZahranDivision of Environmental Health Science and Practice, National Center for Environmental Health, CDC.
Xiaoting QinDivision of Environmental Health Science and Practice, National Center for Environmental Health, CDC.
Carol JohnsonDivision of Environmental Health Science and Practice, National Center for Environmental Health, CDC.
Erik HummelmanDivision of Environmental Health Science and Practice, National Center for Environmental Health, CDC.
Josephine MalilayDivision of Environmental Health Science and Practice, National Center for Environmental Health, CDC.
National Center for Environmental Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

problemAsthma is a chronic disease of the airways that requires ongoing medical management. Socioeconomic and demographic factors as well as health care use might influence health patterns in urban and rural areas. Persons living in rural areas tend to have less access to health care and health resources and worse health outcomes. Characterizing asthma indicators (i.e., prevalence of current asthma, asthma attacks, emergency department and urgent care center [ED/UCC] visits, and asthma-associated deaths) and determining how asthma exacerbations and health care use vary across the United States by geographic area, including differences between urban and rural areas, and by sociodemographic factors can help identify subpopulations at risk for asthma-related complications. REPORTING PERIOD: 2006-2018. DESCRIPTION OF SYSTEM: The National Health Interview Survey (NHIS) is an annual cross-sectional household health survey among the civilian noninstitutionalized population in the United States. NHIS data were used to produce estimates for current asthma and among them, asthma attacks and ED/UCC visits. National Vital Statistics System (NVSS) data were used to estimate asthma deaths. Estimates of current asthma, asthma attacks, ED/UCC visits, and asthma mortality rates are described by demographic characteristics, poverty level (except for deaths), and geographic area for 2016-2018. Trends in asthma indicators by metropolitan statistical area (MSA) category for 2006-2018 were determined. Current asthma and asthma attack prevalence are provided by MSA category and state for 2016-2018. Detailed urban-rural classifications (six levels) were determined by merging 2013 National Center for Health Statistics (NCHS) urban-rural classification data with 2016-2018 NHIS data by county and state variables. All subregional estimates were accessed through the NCHS Research Data Center.

resultsCurrent asthma was higher among boys aged <18 years, women aged ≥18 years, non-Hispanic Black (Black) persons, non-Hispanic multiple-race (multiple-race) persons, and Puerto Rican persons. Asthma attacks were more prevalent among children, females, and multiple-race persons. ED/UCC visits were more prevalent among children, women aged ≥18 years, and all racial and ethnic groups (i.e., Black, non-Hispanic Asian, multiple race, and Hispanic, including Puerto Rican, Mexican, and other Hispanic) except American Indian and Alaska Native persons compared with non-Hispanic White (White) persons. Asthma deaths were higher among adults, females, and Black persons. All pertinent asthma outcomes were also more prevalent among persons with low family incomes. Current asthma prevalence was higher in the Northeast than in the South and the West, particularly in small MSA areas. The prevalence was also higher in small and medium metropolitan areas than in large central metropolitan areas. The prevalence of asthma attacks differed by MSA category in four states. The prevalence of ED/UCC visits was higher in the South than the Northeast and the Midwest and was also higher in large central metropolitan areas than in micropolitan and noncore areas. The asthma mortality rate was highest in non-MSAs, specifically noncore areas. The asthma mortality rate was also higher in the Northeast, Midwest, and West than in the South. Within large MSAs, asthma deaths were higher in the Northeast and Midwest than the South and West.

interpretationDespite some improvements in asthma outcomes over time, the findings from this report indicate that disparities in asthma indicators persist by demographic characteristics, poverty level, and geographic location. PUBLIC HEALTH ACTION: Disparities in asthma outcomes and health care use in rural and urban populations identified from NHIS and NVSS can aid public health programs in directing resources and interventions to improve asthma outcomes. These data also can be used to develop strategic goals and achieve CDC's Controlling Childhood Asthma and Reducing Emergencies (CCARE) initiative to reduce childhood asthma hospitalizations and ED visits and prevent 500,000 asthma-related hospitalizations and ED visits by 2024.

Indexed as

Health Status DisparitiesPopulation SurveillanceAdolescentAdultAgedAge DistributionAmbulatory Care FacilitiesAsthmaChildChild, PreschoolCross-Sectional StudiesEmergency Service, HospitalEthnicityFemaleHumansInfant

Identifiers

PMID34529643
PMCPMC8480992
OpenAlexW3201610498

What OpenQuestion holds

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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.