54 datasets found
  1. Current asthma prevalence among U.S. children in 2022, by state

    • statista.com
    Updated Nov 13, 2024
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    Statista (2024). Current asthma prevalence among U.S. children in 2022, by state [Dataset]. https://www.statista.com/statistics/253800/us-states-with-highest-current-asthma-prevalence-among-children/
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    Dataset updated
    Nov 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    The highest prevalence of current asthma among U.S. children was reported in Connecticut, where 10.6 percent of all children were estimated to currently suffer from asthma. This statistic represents the prevalence of current asthma among children in the United States in 2022, by state.

  2. Prevalence of asthma attacks among children in the U.S. 2016-2018, by region...

    • statista.com
    Updated Oct 4, 2021
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    Statista (2021). Prevalence of asthma attacks among children in the U.S. 2016-2018, by region [Dataset]. https://www.statista.com/statistics/1267245/prevalence-of-asthma-attacks-among-children-by-us-region/
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    Dataset updated
    Oct 4, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2016-2018, around 19 percent of children in the South with current asthma had an asthma attack in the past 12 months. This statistic illustrates the prevalence of asthma attacks in the past 12 months among children with current asthma in the United States from 2016 to 2018, by region.

  3. Data from: Associations between environmental quality and adult asthma...

    • catalog.data.gov
    Updated Nov 12, 2020
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    U.S. EPA Office of Research and Development (ORD) (2020). Associations between environmental quality and adult asthma prevalence in medical claims data [Dataset]. https://catalog.data.gov/dataset/associations-between-environmental-quality-and-adult-asthma-prevalence-in-medical-claims-d
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    The MarketScan health claims database is a compilation of nearly 110 million patient records with information from more than 100 private insurance carriers and large self-insuring companies. Public forms of insurance (i.e., Medicare and Medicaid) are not included, nor are small (< 100 employees) or medium (1000 employees). We excluded the relatively few (n=6735) individuals over 65 years of age because Medicare is the primary insurance of U.S. adults over 65. The EQI was constructed for 2000-2005 for all US counties and is composed of five domains (air, water, built, land, and sociodemographic), each composed of variables to represent the environmental quality of that domain. Domain-specific EQIs were developed using principal components analysis (PCA) to reduce these variables within each domain while the overall EQI was constructed from a second PCA from these individual domains (L. C. Messer et al., 2014). To account for differences in environment across rural and urban counties, the overall and domain-specific EQIs were stratified by rural urban continuum codes (RUCCs) (U.S. Department of Agriculture, 2015). This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: Human health data are not available publicly. EQI data are available at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: Data are stored as csv files. This dataset is associated with the following publication: Gray, C., D. Lobdell, K. Rappazzo, Y. Jian, J. Jagai, L. Messer, A. Patel, S. Deflorio-Barker, C. Lyttle, J. Solway, and A. Rzhetsky. Associations between environmental quality and adult asthma prevalence in medical claims data. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 166: 529-536, (2018).

  4. H

    Projections of global, regional and national prevalence of asthma from...

    • find.data.gov.scot
    • dtechtive.com
    Updated May 16, 2023
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    BREATHE (2023). Projections of global, regional and national prevalence of asthma from 2018-2040 [Dataset]. https://find.data.gov.scot/datasets/26385
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    Dataset updated
    May 16, 2023
    Dataset provided by
    BREATHE
    Area covered
    United Kingdom
    Description

    The aim of this project is to determine appropriate models for estimating and projecting the prevalence and disease burden of asthma.

  5. a

    Prevalence of Adult Asthma

    • usc-geohealth-hub-uscssi.hub.arcgis.com
    Updated Mar 29, 2021
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    Spatial Sciences Institute (2021). Prevalence of Adult Asthma [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/datasets/USCSSI::prevalence-of-adult-asthma
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    Dataset updated
    Mar 29, 2021
    Dataset authored and provided by
    Spatial Sciences Institute
    Area covered
    Description

    This dataset provides an estimate of the percentage of adult respondents ages 18+ who were ever diagnosed with asthma by a doctor by zip code as well as an estimate of the population ages 18+ residing in that zip code. The estimates covered are from the years 2013-2014. Information like this may be useful for studying asthma rates across zip codes of different demographics.

    Spatial Extent: Los Angeles Spatial Unit: Zip Code Created: 2018 Updated: n/a Source: California Health Interview Survey Contact Telephone: 310-794-0909 Contact Email: dacchpr@ucla.edu Source Link: https://askchisne.ucla.edu/ask/_layouts/ne/dashboard.aspx#/API Source Link: https://www.arcgis.com/home/item.html?id=cabe5663e01948dfa4bc31922c2c791b

  6. Rate of deaths with asthma as the underlying cause in the U.S. 2018-2023

    • statista.com
    Updated Apr 9, 2025
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    Statista (2025). Rate of deaths with asthma as the underlying cause in the U.S. 2018-2023 [Dataset]. https://www.statista.com/statistics/251984/us-rate-of-deaths-with-asthma-as-the-underlying-cause/
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the death rate from asthma in the United States was .8 per 100,000 population. This statistic represents the rate of death with asthma as the underlying cause in the United States from 2018 to 2023.

  7. Asthma Prevalence GIS

    • data-sccphd.opendata.arcgis.com
    • hub.arcgis.com
    Updated Aug 24, 2022
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    Santa Clara County Public Health (2022). Asthma Prevalence GIS [Dataset]. https://data-sccphd.opendata.arcgis.com/datasets/asthma-prevalence-gis
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    Dataset updated
    Aug 24, 2022
    Dataset provided by
    Santa Clara County Public Health Departmenthttps://publichealth.sccgov.org/
    Authors
    Santa Clara County Public Health
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Table contains estimated percentage of adults ages 18 years and older who report ever being diagnosed with asthma by a healthcare provider. Data are at zip code level. Data are downloaded from the AskCHIS Neighborhood Edition and are not direct estimates. For more information on the methodology used to calculate estimates, please visit healthpolicy.ucla.edu. Data for zip codes 94305 and 95053 are not available. Source: California Health Interview Survey, AskCHIS Neighborhood Edition, 2018 CHIS data. Exported on June 1, 2022.METADATA:notes (String): Lists table title, notes, sourceszip_code (Numeric): Geography IDestimate (Numeric): Estimate of adults with asthmaunit (String): Unit used for the estimate (Percent)CI (Numeric): 95% confidence interval for the estimate

  8. d

    Childhood Asthma Healthcare Utilization

    • catalog.data.gov
    Updated Jan 24, 2023
    + more versions
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    Allegheny County (2023). Childhood Asthma Healthcare Utilization [Dataset]. https://catalog.data.gov/dataset/childhood-asthma-healthcare-utilization
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    Dataset updated
    Jan 24, 2023
    Dataset provided by
    Allegheny County
    Description

    This data shows healthcare utilization for asthma by Allegheny County residents 18 years of age and younger. It counts asthma-related visits to the Emergency Department (ED), hospitalizations, urgent care visits, and asthma controller medication dispensing events. The asthma data was compiled as part of the Allegheny County Health Department’s Asthma Task Force, which was established in 2018. The Task Force was formed to identify strategies to decrease asthma inpatient and emergency utilization among children (ages 0-18), with special focus on children receiving services funded by Medicaid. Data is being used to improve the understanding of asthma in Allegheny County, and inform the recommended actions of the task force. Data will also be used to evaluate progress toward the goal of reducing asthma-related hospitalization and ED visits. Regarding this data, asthma is defined using the International Classification of Diseases, Tenth Revision (IDC-10) classification system code J45.xxx. The ICD-10 system is used to classify diagnoses, symptoms, and procedures in the U.S. healthcare system. Children seeking care for an asthma-related claim in 2017 are represented in the data. Data is compiled by the Health Department from medical claims submitted to three health plans (UPMC, Gateway Health, and Highmark). Claims may also come from people enrolled in Medicaid plans managed by these insurers. The Health Department estimates that 74% of the County’s population aged 0-18 is represented in the data. Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time. Missing from the data are the uninsured, members in participating plans enrolled for less than 90 continuous days in 2017, children with an asthma-related condition that did not file a claim in 2017, and children participating in plans managed by insurers that did not share data with the Health Department. Data users should also be aware that diagnoses may also be subject to misclassification, and that children with an asthmatic condition may not be diagnosed. It is also possible that some children may be counted more than once in the data if they are enrolled in a plan by more than one participating insurer and file a claim on each policy in the same calendar year.

  9. Prevalence of chronic asthma in Belgium 2001-2018, by gender

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Prevalence of chronic asthma in Belgium 2001-2018, by gender [Dataset]. https://www.statista.com/statistics/1136617/chronic-asthma-prevalence-by-gender-belgium/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Belgium
    Description

    In 2018, chronic asthma was more common in women than in men in Belgium. Indeed, in 2018, while 6.5 percent of adult women suffered from asthma, five percent of adult males were asthmatic. Since 2001, the prevalence of chronic asthma in the adult Belgian population increased.

  10. Prevalence of current asthma in the United States 2001-2022

    • statista.com
    Updated Nov 14, 2024
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    Statista (2024). Prevalence of current asthma in the United States 2001-2022 [Dataset]. https://www.statista.com/statistics/251958/percentage-of-current-asthma-in-the-us/
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    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, around 8.2 percent of the U.S. population currently had asthma. Over the past couple decades, the share of the U.S. population with current asthma has fluctuated. The years 2010 and 2011 saw the highest prevalence rates, with 8.5 percent in both years.

    Asthma Asthma is a complicated chronic illness that affects a person’s ability to breathe. Symptoms include shortness of breath, wheezing and coughing. Asthma is treatable through avoidance of triggers and through inhaled corticosteroids (an inhaler). Prescriptions of Albuterol, a commonly prescribed inhaler, have increased significantly in the United States. Fortunately, in recent years, the out-of-pocket costs of albuterol have decreased. Asthma among the states The prevalence of asthma in U.S. states varies, with Rhode Island, Maine, and New Hampshire reporting the highest current rates of asthma. However, despite having the highest prevalence rates, these states do not have the highest death rates due to asthma. As of 2021, Mississippi and Hawaii had the highest death rates from asthma in the United States. Among all U.S. residents, the prevalence of active asthma attacks within the past 12 months has decreased over the last few years.

  11. Rate of deaths with asthma as underlying cause in the U.S. by gender...

    • statista.com
    Updated Apr 9, 2025
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    Statista (2025). Rate of deaths with asthma as underlying cause in the U.S. by gender 2018-2023 [Dataset]. https://www.statista.com/statistics/251982/us-rate-of-deaths-with-asthma-as-the-underlying-cause-by-gender/
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    Dataset updated
    Apr 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the death rate for asthma in the United States was 0.7 for the male population and .9 for the female population. This statistic represents the rate of deaths with asthma as the underlying cause in the United States from 2018 to 2023, sorted by gender.

  12. c

    Asthma (in persons of all ages): England

    • data.catchmentbasedapproach.org
    Updated Apr 6, 2021
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    The Rivers Trust (2021). Asthma (in persons of all ages): England [Dataset]. https://data.catchmentbasedapproach.org/datasets/theriverstrust::asthma-in-persons-of-all-ages-england/about
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    Dataset updated
    Apr 6, 2021
    Dataset authored and provided by
    The Rivers Trust
    Area covered
    Description

    SUMMARYThis analysis, designed and executed by Ribble Rivers Trust, identifies areas across England with the greatest levels of asthma (in persons of all ages). Please read the below information to gain a full understanding of what the data shows and how it should be interpreted.ANALYSIS METHODOLOGYThe analysis was carried out using Quality and Outcomes Framework (QOF) data, derived from NHS Digital, relating to asthma (in persons of all ages).This information was recorded at the GP practice level. However, GP catchment areas are not mutually exclusive: they overlap, with some areas covered by 30+ GP practices. Therefore, to increase the clarity and usability of the data, the GP-level statistics were converted into statistics based on Middle Layer Super Output Area (MSOA) census boundaries.The percentage of each MSOA’s population (all ages) with asthma was estimated. This was achieved by calculating a weighted average based on:The percentage of the MSOA area that was covered by each GP practice’s catchment areaOf the GPs that covered part of that MSOA: the percentage of registered patients that have that illness The estimated percentage of each MSOA’s population with asthma was then combined with Office for National Statistics Mid-Year Population Estimates (2019) data for MSOAs, to estimate the number of people in each MSOA with asthma, within the relevant age range.Each MSOA was assigned a relative score between 1 and 0 (1 = worst, 0 = best) based on:A) the PERCENTAGE of the population within that MSOA who are estimated to have asthmaB) the NUMBER of people within that MSOA who are estimated to have asthmaAn average of scores A & B was taken, and converted to a relative score between 1 and 0 (1= worst, 0 = best). The closer to 1 the score, the greater both the number and percentage of the population in the MSOA that are estimated to have asthma, compared to other MSOAs. In other words, those are areas where it’s estimated a large number of people suffer from asthma, and where those people make up a large percentage of the population, indicating there is a real issue with asthma within the population and the investment of resources to address that issue could have the greatest benefits.LIMITATIONS1. GP data for the financial year 1st April 2018 – 31st March 2019 was used in preference to data for the financial year 1st April 2019 – 31st March 2020, as the onset of the COVID19 pandemic during the latter year could have affected the reporting of medical statistics by GPs. However, for 53 GPs (out of 7670) that did not submit data in 2018/19, data from 2019/20 was used instead. Note also that some GPs (997 out of 7670) did not submit data in either year. This dataset should be viewed in conjunction with the ‘Health and wellbeing statistics (GP-level, England): Missing data and potential outliers’ dataset, to determine areas where data from 2019/20 was used, where one or more GPs did not submit data in either year, or where there were large discrepancies between the 2018/19 and 2019/20 data (differences in statistics that were > mean +/- 1 St.Dev.), which suggests erroneous data in one of those years (it was not feasible for this study to investigate this further), and thus where data should be interpreted with caution. Note also that there are some rural areas (with little or no population) that do not officially fall into any GP catchment area (although this will not affect the results of this analysis if there are no people living in those areas).2. Although all of the obesity/inactivity-related illnesses listed can be caused or exacerbated by inactivity and obesity, it was not possible to distinguish from the data the cause of the illnesses in patients: obesity and inactivity are highly unlikely to be the cause of all cases of each illness. By combining the data with data relating to levels of obesity and inactivity in adults and children (see the ‘Levels of obesity, inactivity and associated illnesses: Summary (England)’ dataset), we can identify where obesity/inactivity could be a contributing factor, and where interventions to reduce obesity and increase activity could be most beneficial for the health of the local population.3. It was not feasible to incorporate ultra-fine-scale geographic distribution of populations that are registered with each GP practice or who live within each MSOA. Populations might be concentrated in certain areas of a GP practice’s catchment area or MSOA and relatively sparse in other areas. Therefore, the dataset should be used to identify general areas where there are high levels of asthma, rather than interpreting the boundaries between areas as ‘hard’ boundaries that mark definite divisions between areas with differing levels of asthma.TO BE VIEWED IN COMBINATION WITH:This dataset should be viewed alongside the following datasets, which highlight areas of missing data and potential outliers in the data:Health and wellbeing statistics (GP-level, England): Missing data and potential outliersLevels of obesity, inactivity and associated illnesses (England): Missing dataDOWNLOADING THIS DATATo access this data on your desktop GIS, download the ‘Levels of obesity, inactivity and associated illnesses: Summary (England)’ dataset.DATA SOURCESThis dataset was produced using:Quality and Outcomes Framework data: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.GP Catchment Outlines. Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital. Data was cleaned by Ribble Rivers Trust before use.COPYRIGHT NOTICEThe reproduction of this data must be accompanied by the following statement:© Ribble Rivers Trust 2021. Analysis carried out using data that is: Copyright © 2020, Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.CaBA HEALTH & WELLBEING EVIDENCE BASEThis dataset forms part of the wider CaBA Health and Wellbeing Evidence Base.

  13. l

    Prevalence of Adult Asthma, 2013-2014

    • geohub.lacity.org
    • visionzero.geohub.lacity.org
    • +1more
    Updated May 3, 2018
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    Los Angeles Department of Transportation (2018). Prevalence of Adult Asthma, 2013-2014 [Dataset]. https://geohub.lacity.org/datasets/ladot::prevalence-of-adult-asthma-2013-2014
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    Dataset updated
    May 3, 2018
    Dataset authored and provided by
    Los Angeles Department of Transportation
    Area covered
    Description

    Adult respondents ages 18+ who were ever diagnosed with asthma by a doctor. Years covered are from 2013-2014 by zip code. Data taken from the California Health Interview Survey Neighborhood Edition (AskCHIS NE) (http://askchisne.ucla.edu/), downloaded February 2018. AskCHIS Neighborhood Edition is an online data dissemination and visualization platform that provides health estimates at sub-county geographic regions. Estimates are powered by data from The California Health Interview Survey (CHIS). CHIS is conducted by The UCLA Center for Health Policy Research, an affiliate of UCLA Fielding School of Public Health.Health estimates available in AskCHIS NE (Neighborhood Edition) are model-based small area estimates (SAEs).SAEs are not direct estimates (estimates produced directly from survey data, such as those provided through AskCHIS).CHIS data and analytic results are used extensively in California in policy development, service planning and research, and is recognized and valued nationally as a model population-based health survey.Before using estimates from AskCHIS NE, it is recommended that you read more about the methodology and data limitations at: http://healthpolicy.ucla.edu/Lists/AskCHIS%20NE%20Page%20Content/AllItems.aspx. You can go to http://askchisne.ucla.edu/ to create your own account.Produced by The California Health Interview Survey and The UCLA Center for Health Policy Research and compiled by the Los Angeles County Department of Public Health. "Field Name = Field Definition "Zipcode" = postal zip code in the City of Los Angeles “Percent” = estimated percentage of adult respondents ages 18+ who were ever diagnosed with asthma by a doctor"LowerCL" = the lower 95% confidence limit represents the lower margin of error that occurs with statistical sampling"UpperCL" = the upper 95% confidence limit represents the upper margin of error that occurs in statistical sampling "Population" = estimated population 18 and older (denominator) residing in the zip code Notes: 1) Zip codes are based on the Los Angeles Housing Department Zip Codes Within the City of Los Angeles map (https://media.metro.net/about_us/pla/images/lazipcodes.pdf).2) Zip codes that did not have data available (i.e., null values) are not included in the dataset; there are additional zip codes that fall within the City of Los Angeles.3) Zip code boundaries do not align with political boundaries. These data are best viewed with a City of Los Angeles political boundary file (i.e., City of Los Angeles jurisdiction boundary, City Council boundary, etc.) FAQS: 1. Which cycle of CHIS does AskCHIS Neighborhood Edition provide estimates for?All health estimates in this version of AskCHIS Neighborhood Edition are based on data from the 2013-2014 California Health Interview Survey. 2. Why do your population estimates differ from other sources like ACS? The population estimates in AskCHIS NE represent the CHIS 2013-2014 population sample, which excludes Californians living in group quarters (such as prisons, nursing homes, and dormitories). 3. Why isn't there data available for all ZIP codes in Los Angeles?While AskCHIS NE has data on all ZCTAs (Zip Code Tabulation Areas), two factors may influence our ability to display the estimates:A small population (under 15,000): currently, the application only shows estimates for geographic entities with populations above 15,000. If your ZCTA has a population below this threshold, the easiest way to obtain data is to combine it with a neighboring ZCTA and obtain a pooled estimate.A high coefficient of variation: high coefficients of variation denote statistical instability.

  14. r

    Data from: Asthma and asthma medication are common among recreational...

    • researchdata.se
    • demo.researchdata.se
    Updated Nov 20, 2018
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    Nikolai Stenfors (2018). Asthma and asthma medication are common among recreational athletes participating in endurance sport competitions [Dataset]. https://researchdata.se/en/catalogue/dataset/ext0276-1
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    Dataset updated
    Nov 20, 2018
    Dataset provided by
    Umeå University
    Authors
    Nikolai Stenfors
    Time period covered
    Sep 1, 2014 - Jul 30, 2015
    Area covered
    Sweden
    Description

    Asthma prevalence is high among elite endurance athletes, but little is known about its prevalence among competitive recreational athletes. The aim of this study was to determine the prevalence of self-reported asthma and asthma medication use among competitive recreational endurance athletes, and their association with training. A web survey on asthma and medication was conducted among 38,603 adult participants of three Swedish endurance competitions (cross-country running, cross-country skiing, and swimming).

    Purpose:

    The aim of this cross-sectional study was to determine the prevalence among competitive recreational endurance athletes of self-reported physician-diagnosed asthma and asthma medication use and their association with training.

  15. Asthma - Epidemiology Forecast to 2029

    • store.globaldata.com
    Updated Nov 30, 2020
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    GlobalData UK Ltd. (2020). Asthma - Epidemiology Forecast to 2029 [Dataset]. https://store.globaldata.com/report/asthma-epidemiology-forecast-to-2029/
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    Dataset updated
    Nov 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    Asthma is a common respiratory condition that affects the lungs. The airways in the lungs narrow and well, causing obstruction to the airflow (CDC, 2013; NHS, 2018). For some people asthma is mild, but in severe cases, people can experience life-threatening asthma attacks (Mayo Clinic, 2018). In most cases, the cause of asthma is unknown, and although there is no cure, medication can help control asthma (CDC, 2013). Asthma can develop at any stage of life. Often, in children, asthma can resolve during their teenage years; however, it is usually a long-term illness, especially if it first develops in adulthood (NHS, 2018). Read More

  16. Asthma, by age group

    • www150.statcan.gc.ca
    Updated Nov 6, 2023
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    Government of Canada, Statistics Canada (2023). Asthma, by age group [Dataset]. http://doi.org/10.25318/1310009601-eng
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    Dataset updated
    Nov 6, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Number and percentage of persons having been diagnosed with asthma, by age group and sex.

  17. f

    Table_2_The dietary inflammatory index and asthma prevalence: a...

    • frontiersin.figshare.com
    docx
    Updated Nov 22, 2024
    + more versions
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    Chuansen Lu; Yike Zhu (2024). Table_2_The dietary inflammatory index and asthma prevalence: a cross-sectional analysis from NHANES.docx [Dataset]. http://doi.org/10.3389/fnut.2024.1485399.s005
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    docxAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Frontiers
    Authors
    Chuansen Lu; Yike Zhu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundInflammation is a key factor in the development of asthma, and diet significantly influences inflammatory responses. This study examines the relationship between the Dietary Inflammatory Index (DII) and asthma prevalence.MethodsWe conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Demographic details, anthropometric measurements, dietary habits, lifestyle factors, and asthma status were recorded for all participants. Multivariable logistic regression was utilized to assess the relationship between DII and asthma prevalence. Additionally, restricted cubic spline (RCS) analysis was employed to explore the nonlinearity and dose–response relationship between DII and asthma risk. Subgroup analyses were stratified by gender, age, race, body mass index (BMI), poverty income ratio (PIR), education, smoking status, alcohol use, and family medical history to dissect the association between DII and asthma across diverse populations.ResultsThe analysis included 37,283 adults from NHANES. After adjusting for potential confounders in the multivariable logistic regression model, a significant positive association was identified between DII and asthma (OR, 95% CI: 1.05, 1.02–1.09, per 1 SD increase). The RCS analysis revealed a nonlinear association (p for nonlinearity = 0.0026), with an inflection point at 1.366, beyond which an increase in DII was significantly associated with asthma risk. Furthermore, the stratified analyses indicated a positive association between DII and asthma in the majority of subgroups.ConclusionThe findings underscore a significant and nonlinear association between DII and asthma. To enhance asthma prevention and management, greater emphasis should be placed on modulating dietary-induced inflammation.

  18. f

    Data from: Demographic and regional mortality trends in patients with asthma...

    • tandf.figshare.com
    docx
    Updated May 20, 2025
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    Sophia Ahmed; Muhammad Asfandyar Nadir; Areej Iftikhar; Hamza Ashraf; Mohammad Ashraf (2025). Demographic and regional mortality trends in patients with asthma in the United States (1999–2020): a CDC WONDER analysis [Dataset]. http://doi.org/10.6084/m9.figshare.28418343.v1
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    docxAvailable download formats
    Dataset updated
    May 20, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Sophia Ahmed; Muhammad Asfandyar Nadir; Areej Iftikhar; Hamza Ashraf; Mohammad Ashraf
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Around 7.7% of Americans have asthma, including 20.2 million adults and 4.6 million children. This study examines asthma mortality trends and disparities across U.S. demographic and geographic groups from 1999 to 2020. A retrospective analysis was conducted using the CDC WONDER database to examine asthma-related deaths in the U.S. from 1999 to 2020. Age-adjusted mortality rates (AAMRs) and crude mortality rates (CMRs) per 100,000 were calculated. Trends and annual percent changes (APCs) were assessed overall and stratified by sex, race, region, and age. From 1999 to 2020, the U.S. recorded 221 161 asthma-related deaths (AAMR: 3.07), mostly in medical facilities. Mortality declined from 1999 to 2018 (APC: −1.53%) but surged from 2018 to 2020 (APC: 28.63%). Females, NH Blacks, and NH American Indians had the highest mortality rates. Older adults (≥65) had the greatest burden, with younger groups showing notable increases post-2018. Rural areas and the West reported slightly higher rates than urban and other regions. Hawaii and the District of Columbia had the highest AAMRs, while Florida and Nevada had the lowest. Asthma-related mortality in the U.S. declined until 2018 but sharply increased from 2018 to 2020, with rises across all demographic groups, regions, and settings. Females, NH Blacks, and older adults consistently had higher mortality rates, while younger age groups showed recent alarming increases. Targeted interventions are urgently needed to address inequities and recent mortality surges.

  19. A

    ‘Childhood Asthma Healthcare Utilization’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jul 22, 2019
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2019). ‘Childhood Asthma Healthcare Utilization’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-childhood-asthma-healthcare-utilization-d85b/a296859a/?iid=000-791&v=presentation
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    Dataset updated
    Jul 22, 2019
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Childhood Asthma Healthcare Utilization’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/54c9bd57-5f60-47f8-aaa2-a3066a52ed86 on 26 January 2022.

    --- Dataset description provided by original source is as follows ---

    This data shows healthcare utilization for asthma by Allegheny County residents 18 years of age and younger. It counts asthma-related visits to the Emergency Department (ED), hospitalizations, urgent care visits, and asthma controller medication dispensing events.

    The asthma data was compiled as part of the Allegheny County Health Department’s Asthma Task Force, which was established in 2018. The Task Force was formed to identify strategies to decrease asthma inpatient and emergency utilization among children (ages 0-18), with special focus on children receiving services funded by Medicaid. Data is being used to improve the understanding of asthma in Allegheny County, and inform the recommended actions of the task force. Data will also be used to evaluate progress toward the goal of reducing asthma-related hospitalization and ED visits.

    Regarding this data, asthma is defined using the International Classification of Diseases, Tenth Revision (IDC-10) classification system code J45.xxx. The ICD-10 system is used to classify diagnoses, symptoms, and procedures in the U.S. healthcare system.

    Children seeking care for an asthma-related claim in 2017 are represented in the data. Data is compiled by the Health Department from medical claims submitted to three health plans (UPMC, Gateway Health, and Highmark). Claims may also come from people enrolled in Medicaid plans managed by these insurers. The Health Department estimates that 74% of the County’s population aged 0-18 is represented in the data.

    Users should be cautious of using administrative claims data as a measure of disease prevalence and interpreting trends over time. Missing from the data are the uninsured, members in participating plans enrolled for less than 90 continuous days in 2017, children with an asthma-related condition that did not file a claim in 2017, and children participating in plans managed by insurers that did not share data with the Health Department.

    Data users should also be aware that diagnoses may also be subject to misclassification, and that children with an asthmatic condition may not be diagnosed. It is also possible that some children may be counted more than once in the data if they are enrolled in a plan by more than one participating insurer and file a claim on each policy in the same calendar year.

    --- Original source retains full ownership of the source dataset ---

  20. a

    2018 Child Optional Modules Report

    • brfss-isdh.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Sep 7, 2019
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    Indiana Department of Health GIS Portal (2019). 2018 Child Optional Modules Report [Dataset]. https://brfss-isdh.opendata.arcgis.com/datasets/2018-child-optional-modules-report
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    Dataset updated
    Sep 7, 2019
    Dataset authored and provided by
    Indiana Department of Health GIS Portal
    Description

    The 2018 Indiana BRFSS Child Optional Modules report contains prevalence estimates for child health risk behaviors and outcomes collected via an optional module.Topics include childhood asthma prevalence.

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Statista (2024). Current asthma prevalence among U.S. children in 2022, by state [Dataset]. https://www.statista.com/statistics/253800/us-states-with-highest-current-asthma-prevalence-among-children/
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Current asthma prevalence among U.S. children in 2022, by state

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Dataset updated
Nov 13, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
United States
Description

The highest prevalence of current asthma among U.S. children was reported in Connecticut, where 10.6 percent of all children were estimated to currently suffer from asthma. This statistic represents the prevalence of current asthma among children in the United States in 2022, by state.

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