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Asthma Among Employed Adults, by Industry and Occupation — 21 States, 2013



Katelynn E. Dodd, MPH1,2; Jacek M. Mazurek, MD1 (View author affiliations)

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Summary

What is already known about this topic?

Data from the 2006–2007 adult Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-back Survey from 33 states indicated that up to 48% of adult current asthma might be related to work and could potentially be prevented. Asthma prevalence is higher among adults working in certain industries and occupations.

What is added by this report?

Among an estimated 74 million adults employed at some time in the 12 months preceding the interview in 21 states, 7.7% had current asthma (range = 5.0% [Mississippi]–10.0% [Michigan]). Based on the Asthma Call-back Survey results, this finding means as many as 2.7 million U.S. workers might have asthma caused by or exacerbated by workplace conditions. The findings indicate state-specific variation in the prevalence of current asthma by industry and occupation. State-specific prevalence of current asthma was highest among workers in the information industry (18.0%) in Massachusetts and in health care support occupations (21.5%) in Michigan.

What are the implications for public health practice?

Analysis of BRFSS industry and occupation and asthma module data might aid in identification of industries and occupations with high current asthma prevalence and facilitate assessment of workers for new-onset or work-exacerbated asthma who could benefit from work-related asthma prevention and education programs. Routine collection of industry and occupation information is needed to estimate state-specific work-related asthma prevalence by industry and occupation.


Workers in various industries and occupations are at risk for work-related asthma* (1). Data from the 2006–2007 adult Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-back Survey (ACBS), an in-depth asthma survey conducted with respondents who report an asthma diagnosis, from 33 states indicated that up to 48% of adult current asthma might be related to work and could therefore potentially be prevented (2). Identification of the industries and occupations with increased prevalence of asthma might inform work-related asthma intervention and prevention efforts. To assess the industry-specific and occupation-specific proportions of adults with current asthma by state, CDC analyzed data from the 2013 BRFSS industry and occupation module, collected from 21 states for participants aged ≥18 years who, at the time of the survey interview, were employed or had been out of work for <12 months. Among these respondents, 7.7% had current asthma; based on the Asthma Call-back Survey results, this finding means as many as 2.7 million U.S. workers might have asthma caused by or exacerbated by workplace conditions. State-specific variations in the prevalence of current asthma by industry and occupation were observed. By state, current asthma prevalence was highest among workers in the information industry (18.0%) in Massachusetts and in health care support occupations (21.5%) in Michigan. Analysis of BRFSS industry and occupation and optional asthma modules can be used to identify industries and occupations to assess for asthma among workers, identify workplace exposures, and guide the design and evaluation of effective work-related asthma prevention and education programs (1).

BRFSS is a state-based, random-digit–dialed telephone survey of the noninstitutionalized U.S. population aged ≥18 years that collects information on health risk factors, preventive health practices, and disease status. The survey includes core questions, optional modules, and state-specific questions. During 2013, the industry and occupation module§ was administered for the first time in 19 states. The module collected information on the industry and occupation of respondents employed in the 12 months preceding the interview for their current or most recent job. Two additional states (Washington and Wyoming**) collected industry and occupation information using state-added questions. The median American Association of Public Opinion Research response rate among the 21 states collecting information on industry and occupation was 44.0% (range = 31.1%–59.2%).††

BRFSS participants who responded “yes” to both questions: “Has a doctor, nurse, or other health professional ever told you that you had asthma?” and “Do you still have asthma?” were considered to have current asthma. Participants who, at the time of the interview, indicated that they were employed for wages, out of work for <1 year, or self-employed were considered employed in the 12 months before the interview. Information on respondent’s industry of employment and occupation was coded by CDC coders based on the 2002 North American Industry Classification System and the 2000 Standard Occupational Classification System, respectively.§§ The current analysis used 21 industry categories and 23 occupation categories.

Landline and cellular telephone household data were weighted to produce estimates representative of the state populations using the survey sample weight for each BRFSS participant. Estimated proportions with corresponding 95% confidence intervals (CIs) were calculated. Statistically significant differences in distribution were determined using the Rao-Scott chi-square test with statistical significance at p≤0.05.

A sample of 208,788 adults in the 21 states, representing an estimated 125 million persons, participated in BRFSS and completed the industry and occupation module. Among these participants, 107,327 adults, representing an estimated 74 million persons (59.8% of the estimated survey population) were employed in the 12 months before the interview during 2013. Among adults employed at any time in the 12 months preceding the interview, 7.7% had current asthma.

The proportion of workers with current asthma differed significantly by age, sex, race/ethnicity, household income, and state (Table 1). Overall, prevalence of current asthma among workers ranged from 5.0% in Mississippi to 10.0% in Michigan, and was highest in the health care and social assistance industry (10.7%) and in health care support occupations (12.4%) (Table 2). Industry-specific, and occupation-specific prevalence of current asthma was highest among workers in the information industry (18.0%) in Massachusetts and in health care support occupations (21.5%) in Michigan (Table 3). Among the five industries with the highest current asthma prevalence, health care and social assistance was identified in 20 of the 21 states, retail trade in 16 states, and education in 14 states. Among the five occupations with the highest current asthma prevalence, office and administrative support was identified in 16 of the 21 states, health care practitioners and technical in 15 states, and sales and related in 13 states.

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Discussion

The findings in this report provide the first state-specific estimates of current asthma by industry and occupation category for 21 states administering BRFSS and collecting industry and occupation data, and indicate state-specific variations in current asthma prevalence by industry and occupation. These variations are consistent with previous findings (3) and likely reflect differences in the characteristics of state working populations (e.g., age, race/ethnicity, and education), socioeconomic factors (e.g., state-specific distribution of industries and occupations and unemployment rate), health insurance coverage (e.g., type of insurance and access to medical care), state laws (e.g., workers’ compensation), geographic differences in prevalence of sensitization to aeroallergens (4,5), and risk for exposure to agents causing asthma in the workplace. For example, sales and related occupations were the top employers in 2015 for all 21 states assessed in this study according to the Bureau of Labor and Statistics (http://www.bls.gov/home.htm) and that might explain why this occupation appears consistently across several states.

Work-related asthma includes occupational asthma (i.e., new-onset asthma caused by factors related to work) and work-exacerbated asthma (i.e., preexisting or current asthma worsened by factors related to work) (1). Persons with work-related asthma have more symptomatic days, use more health care resources, and have lower quality of life (6). Moreover, asthma exacerbations accelerate decline in lung function (7). Each of the industries and occupations identified in this report is associated with a specific set of existing and emerging workplace exposures, including irritant chemicals, dusts, secondhand smoke, allergens, emotional stress, temperature, and physical exertion, that have been associated with new-onset and work-exacerbated asthma (8,9). For example, it is well recognized that workers in the health care and social assistance industry who are exposed to cleaning and disinfection products, powdered latex gloves, and aerosolized medications have a twofold increased likelihood of new-onset asthma (9). A previous study reported that as much as 48% of adult asthma is caused or made worse by work (2); therefore, as many as 2.7 million workers might have asthma caused or exacerbated by workplace conditions in these 21 states. To assist clinicians in assessing potential workplace exposures among employed patients with new-onset or exacerbated asthma, the Association of Occupational and Environmental Clinics published a list of substances that meet criteria for causing work-related asthma by sensitization or acute irritant-induced asthma.¶¶

The findings in this report are subject to at least four limitations. First, information on asthma was self-reported and not validated by medical records or follow-up with health care providers; thus, estimates might be subject to misclassification. Second, although the BRFSS optional ACBS collects detailed information on asthma (e.g., work-related asthma), it was not possible to determine whether the current asthma was associated with work using 1 year of data because of the small number of respondents with both information on work-related asthma diagnosis and industry and occupation. Also, small sample sizes resulted in unreliable estimates for some industries and occupations. Combining multiple years of data from ACBS and industry and occupation module is needed to estimate the state-specific work-related asthma prevalence by industry and occupation. Third, workers with current asthma might leave employment in industries and occupations with workplace exposures that exacerbate their asthma (i.e., the healthy worker effect); thus, industry and occupation in this report might not accurately represent the industries and occupations where exposures occur. Finally, because data are limited to 21 states, the results might not be nationally representative or representative of nonparticipating states.

Physicians should consider collecting a detailed occupational history among adults with asthma because this is critical for making a work-related asthma diagnosis and recommending optimal treatment and management (1). Reduction or elimination of workplace exposures (i.e., substitution of hazardous products with nonhazardous products or improved ventilation) or removal of the worker from the environment might be necessary for management of asthma symptoms related to work (1,10). For example, reduction in exposure to latex allergens by replacing powdered latex gloves with powder-free natural rubber latex or nonlatex gloves considerably reduced work-related asthma in the health care industry (10).

Twenty-two Healthy People 2020 respiratory disease objectives*** for asthma address prevention, detection, treatment, and education efforts; in 2009, CDC funded 34 states, the District of Columbia, and Puerto Rico to help meet these objectives.††† The Council of State and Territorial Epidemiologists in its 2010 Position Statement§§§ recommends continued surveillance for and evaluation of the burden of asthma, including work-related asthma, to help target prevention programs and activities. BRFSS data provide a unique opportunity to assess state-level asthma prevalence by industry and occupation. The findings in this report might assist physicians and state public health officials in identifying workers in industries and occupations with a high current asthma prevalence who should be evaluated for work-related asthma in order to plan and target interventions. Potential work-related asthma exposures can be identified, and effective prevention and education strategies can be implemented (8). Routine collection of industry and occupation information is needed to estimate state-specific work-related asthma prevalence by respondents’ industry and occupation.

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Acknowledgments

BRFSS state coordinators; Naomi Anderson, MPH, Washington Department of Labor and Industries; Jennifer Marcum, DrPH, Washington Department of Labor and Industries; Karla Armenti, ScD, University of New Hampshire.

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Corresponding author: Katelynn Dodd, yla8@cdc.gov, 304-285-6305.

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1Respiratory Health Division, National Institute for Occupational Safety and Health, CDC; 2Association of Schools and Programs of Public Health/CDC Public Health Fellowship Program.

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* Work-related asthma includes occupational asthma (i.e., new-onset asthma caused by factors related to work) and work-exacerbated asthma (i.e., preexisting or concurrent asthma worsened by factors related to work). http://www.cdc.gov/niosh/topics/asthma/occasthmaprevention.html.

http://www.cdc.gov/brfss/annual_data/annual_2013.html.

§ http://www.cdc.gov/brfss/questionnaires/index.htm.

Washington State Department of Health, Center for Health Statistics, Behavioral Risk Factor Surveillance System.

** Wyoming Department of Health, Public Health Division, Behavioral Risk Factor Surveillance System.

†† http://www.cdc.gov/brfss/annual_data/2013/pdf/2013_dqr.pdf.

§§ https://wwwn.cdc.gov/niosh-nioccs/.

¶ ¶http://www.aoecdata.org/ExpCodeLookup.aspx.

*** https://www.healthypeople.gov/2020/topics-objectives/topic/respiratory-diseases/objectives.

††† http://www.cdc.gov/asthma/pdfs/asthma_facts_program_grantees.pdf.

§§§ http://c.ymcdn.com/sites/www.cste.org/resource/resmgr/PS/10-EH-01.pdf.

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References

  1. Tarlo SM, Balmes J, Balkissoon R, et al. Diagnosis and management of work-related asthma: American College Of Chest Physicians consensus statement. Chest 2008;134(Suppl):1S–41S . CrossRef PubMed
  2. Knoeller GE, Mazurek JM, Moorman JE. Work-related asthma among adults with current asthma in 33 states and DC: evidence from the Asthma Call-Back Survey, 2006–2007. Public Health Rep 2011;126:603–11. PubMed
  3. Anderson NJ, Fan ZJ, Reeb-Whitaker C, Bonauto DK, Rauser E. Distribution of asthma by occupation: Washington State Behavioral Risk Factor Surveillance System data, 2006–2009. J Asthma 2014;51:1035–42 . CrossRef PubMed
  4. Xu F, Mawokomatanda T, Flegel D, et al. Surveillance for certain health behaviors among states and selected local areas—Behavioral Risk Factor Surveillance System, United States, 2011. MMWR Surveill Summ 2014;63(No. SS-9). PubMed
  5. Salo PM, Arbes SJ , Jaramillo R, et al. Prevalence of allergic sensitization in the United States: results from the National Health and Nutrition Examination Survey (NHANES) 2005–2006. J Allergy Clin Immunol 2014;134:350–9 . CrossRef PubMed
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  7. O’Byrne PM, Pedersen S, Lamm CJ, Tan WC, Busse WW; START Investigators Group. Severe exacerbations and decline in lung function in asthma. Am J Respir Crit Care Med 2009;179:19–24 . CrossRef PubMed
  8. Henneberger PK, Redlich CA, Callahan DB, et al. ; ATS Ad Hoc Committee on Work-Exacerbated Asthma. An official American Thoracic Society statement: work-exacerbated asthma. Am J Respir Crit Care Med 2011;184:368–78 . CrossRef PubMed
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Return to your place in the textTABLE 1. Prevalence of current asthma* among adults employed during the 12 months preceding the interview, by selected characteristics and state of residence — Behavioral Risk Factor Surveillance System (BRFSS), 21 states, 2013
Characteristic/StateNo. in sample§Weighted no. (thousands)Current asthma % (95% CI)
Total107,32774,1117.7 (7.4–8.1)
Age group (yrs)**
  18–4442,44140,8778.2 (7.7–8.7)
  45–6453,50929,1577.4 (6.9–7.9)
  ≥6510,3983,6115.8 (4.9–6.7)
Sex**
  Men50,73040,5165.7 (5.3–6.2)
  Women56,59733,59510.2 (9.6–10.8)
Race/Ethnicity**
  White, non-Hispanic83,93544,4938.1 (7.7–8.5)
  Black, non-Hispanic7,2177,4788.9 (7.7–10.2)
  Hispanic8,55113,8796.5 (5.5–7.4)
  Other5,9807,0336.9 (5.5–8.4)
Education
  High school diploma or less31,25427,0237.5 (6.9–8.2)
  Some college30,27422,8358.2 (7.5–8.8)
  College graduate45,56524,0897.6 (7.1–8.2)
Household income**
  <$15,0005,3025,55711.4 (9.5–13.3)
  $15,000–$24,99912,1549,3888.0 (7.1–9.0)
  $25,000–$34,9999,5586,6087.5 (6.3–8.7)
  $35,000–$49,99914,2129,1146.9 (6.1–7.7)
  ≥$50,00056,54236,6087.5 (7.0–8.0)
State**
  California3,96616,8667.6 (6.6–8.6)
  Florida13,7378,5206.7 (5.8–7.5)
  Illinois2,9626,0696.7 (5.5–7.9)
  Louisiana2,3561,9986.5 (4.9–8.1)
  Maryland7,1262,9568.6 (7.5–9.7)
  Massachusetts8,2383,2879.9 (8.9–10.9)
  Michigan6,2624,27910.0 (9.0–11.1)
  Minnesota8,7252,8287.3 (6.4–8.2)
  Mississippi3,1901,2605.0 (4.0–6.0)
  Montana5,2704807.1 (6.2–7.9)
  Nebraska4,8779226.3 (5.2–7.3)
  New Hampshire3,5826668.2 (7.1–9.4)
  New Jersey2,6164,2857.7 (6.0–9.4)
  New Mexico4,6618858.2 (7.1–9.3)
  New York2,3279,1627.9 (6.5–9.3)
  North Dakota4,8173807.8 (6.6–8.9)
  Oregon2,8251,7099.3 (7.9–10.7)
  Utah7,4001,3228.2 (7.4–9.0)
  Washington5,6073,2248.5 (7.6–9.4)
  Wisconsin3,5812,7287.9 (6.6–9.2)
  Wyoming3,2022868.3 (7.0–9.6)

Abbreviation: CI = confidence interval.
* “Yes” response to both questions: “Have you ever been told by a doctor or other health professional that you have asthma?” and “Do you still have asthma?”
Participants who, at the time of the interview, indicated they were employed for wages, out of work for <1 year, or self-employed.
§ Unweighted sample size.
Weighted to the state population using the survey sample weights for each BRFSS participant.
** For differences in current asthma prevalence: Rao-Scott chi-square test; p-value <0.05.

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Return to your place in the textTABLE 2. Prevalence of current asthma* among adults employed in the 12 months preceding the interview, ranked by industry and occupation categories — Behavioral Risk Factor Surveillance System (BRFSS), 21 states, 2013
Industry%§ (95% CI)Occupation%§ (95% CI)
Health care and social assistance10.7 (9.6–11.8)Health care support12.4 (9.7–15.2)
Education9.1 (7.8–10.3)Community and social services12.2 (7.9–16.6)
Arts, entertainment, and recreation9.0 (5.1–13.0)Personal care and service12.1 (9.3–14.9)
Information8.7 (6.3–11.1)Arts, design, entertainment, sports, and media11.7 (8.5–14.8)
Retail trade8.7 (7.3–10.2)Office and administrative support10.2 (8.7–11.7)
Finance and insurance8.4 (6.4–10.3)Health care practitioners and technical9.2 (7.9–10.5)
Other services (except public administration)8.3 (6.6–9.9)Legal9.2 (5.9–12.5)
Professional, scientific, and technical services7.6 (6.1–9.1)Food preparation and serving8.3 (6.5–10.2)
Accommodation and food services7.4 (6.0–8.7)Education, training, and library8.2 (6.8–9.5)
Transportation and warehouse7.1 (4.8–9.3)Sales and related7.6 (6.5–8.8)
Public administration7.0 (5.8–8.2)Life, physical, and social science7.5 (4.6–10.4)
Real estate, rental, and leasing6.9 (4.4–9.4)Business and financial operations7.2 (5.6–8.9)
Administrative and support, waste management, and remediation6.4 (4.4–8.3)Building and grounds cleaning and maintenance7.1 (5.4–8.9)
Manufacturing6.1 (5.1–7.2)Management6.9 (5.7–8.0)
Mining, oil and gas6.0 (3.6–8.3)Transportation and material moving6.7 (4.7–8.7)
Construction5.9 (4.5–7.2)Computer and mathematical6.7 (4.9–8.6)
Wholesale trade5.8 (3.4–8.3)Protective service6.6 (4.1–9.2)
Agriculture, forestry, fishing and hunting4.2 (2.0–6.4)Production5.7 (4.1–7.3)
UtilitiesInstallation, maintenance, and repair5.7 (3.9–7.5)
Management of companies and enterprisesConstruction and extraction4.6 (3.4–5.8)
Armed forcesArchitecture and engineering4.1 (2.8–5.4)
Farming, fishing, and forestry2.6 (1.1–4.1)
Military active duty

Abbreviation: CI = confidence interval.
* “Yes” response to both questions: “Have you ever been told by a doctor or other health professional that you have asthma?” and “Do you still have asthma?”
Participants who, at the time of the interview, indicated they were employed for wages, out of work for <1 year, or self-employed.
§ Weighted to the state population using the survey sample weights for each BRFSS participant.
Unreliable estimates with a relative standard error ≥30 are not reported.

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Return to your place in the textTABLE 3. The five industries and occupations with the highest prevalence of current asthma* among adults employed in the 12 months preceding the interview, by state — Behavioral Risk Factor Surveillance System (BRFSS), 21 states, 2013
State/Industry%§ (95% CI)Occupation%§ (95% CI)
California
Education11.4 (7.0–15.8)Personal care and service16.0 (7.4–24.6)
Health care and social assistance10.9 (6.8–15.1)Office and administrative support13.0 (7.9–18.2)
Professional, scientific, and technical services9.5 (5.0–13.9)Education, training, and library8.6 (4.5–12.6)
Construction7.8 (4.3–11.4)Management7.5 (4.0–11.1)
Retail trade7.6 (3.7–11.5)Sales and related7.1 (3.8–10.4)
Florida
Retail trade10.0 (5.6–14.4)Health care practitioners and technical13.4 (8.1–18.6)
Education9.2 (5.2–13.1)Education, training, and library7.0 (3.1–10.9)
Health care and social assistance9.1 (7.0–11.2)Office and administrative support6.9 (4.5–9.3)
Other services (except public administration)8.3 (3.9–12.6)Sales and related6.9 (4.2–9.6)
Finance and insurance4.2 (2.0–6.5)Management4.1 (2.3–5.9)
Illinois
Health care and social assistance10.9 (6.7–15.2)Health care practitioners and technical14.7 (7.9–21.4)
Retail trade10.2 (4.3–16.0)Office and administrative support9.5 (5.3–13.8)
Education6.1 (3.3–9.0)
Louisiana
Health care and social assistance10.8 (5.1–16.4)
Maryland
Other services (except public administration)14.8 (7.5–22.1)Arts, design, entertainment, sports and media14.6 (6.1–23.2)
Health care and social assistance10.4 (7.2–13.6)Community and social services13.7 (5.9–21.5)
Education9.4 (6.3–12.4)Office and administrative support10.8 (7.1–14.6)
Public administration9.2 (6.7–11.6)Education, training, and library10.0 (6.2–13.7)
Professional, scientific, and technical services8.1 (4.5–11.8)Health care and technical9.4 (5.7–13.1)
Massachusetts
Information18.0 (7.7–28.3)Community and social services13.8 (7.2–20.5)
Accommodation and food services14.5 (7.9–21.2)Education, training, and library12.8 (8.8–16.9)
Public administration13.5 (7.0–20.0)Food preparation and service12.8 (5.6–19.9)
Health care and social assistance13.1 (10.1–16.1)Health care practitioners and technical12.4 (8.8–16.1)
Retail trade10.7 (6.5–14.8)Office and administrative support11.8 (8.3–15.4)
Michigan
Health care and social assistance15.2 (12.1–18.3)Health care support21.5 (12.8–30.2)
Accommodation and food services14.9 (9.4–20.4)Food preparation and service14.4 (8.4–20.5)
Education11.5 (8.5–14.4)Community and social services13.4 (7.8–19.0)
Retail trade11.4 (7.7–15.0)Sales and related12.4 (8.3–16.4)
Transportation and warehouse10.9 (5.2–16.7)Personal care and service12.3 (6.8–17.9)
Minnesota
Finance and insurance13.2 (6.1–20.3)Personal care and service13.4 (6.1–20.7)
Accommodation and food services12.9 (6.3–19.5)Health care practitioners and technical10.1 (5.9–14.3)
Health care and social assistance10.3 (7.5–13.0)Sales and related9.3 (4.9–13.7)
Manufacturing7.5 (4.4–10.7)Business and financial operations8.5 (4.0–13.1)
Retail trade6.4 (3.5–9.4)Office and administrative support6.5 (3.7–9.2)
Mississippi
Health care and social assistance7.5 (4.3–10.7)Health care practitioners and technical6.8 (2.8–10.9)
Retail trade6.1 (2.7–9.4)
Education4.3 (1.9–6.7)
Montana
Accommodation and food services9.4 (5.0–13.9)Office and administrative support8.0 (4.8–11.3)
Retail trade8.3 (5.3–11.4)Management7.9 (5.0–10.8)
Health care and social assistance8.1 (5.4–10.7)Health care practitioners and technical7.7 (4.0–11.4)
Construction7.9 (4.2–11.6)Construction and extraction7.6 (4.0–11.1)
Education7.8 (4.7–11.0)Sales and related7.3 (4.0–10.7)
Nebraska
Retail trade7.5 (3.3–11.8)Sales and related9.5 (4.2–14.7)
Education6.5 (3.6–9.3)Office and administrative support7.6 (4.2–11.1)
Health care and social assistance6.2 (4.0–8.4)Health care practitioners and technical6.7 (3.0–10.4)
Public administration5.7 (2.5–9.0)Management3.9 (2.0–5.8)
Agriculture, forestry, fishing, and hunting5.0 (2.4–7.6)
New Hampshire
Public administration12.3 (5.7–18.9)Office and administrative support12.3 (7.1–17.4)
Health care and social assistance9.9 (7.0–12.8)Sales and related11.7 (7.0–16.5)
Manufacturing9.2 (5.5–12.9)Computer and mathematical11.4 (5.0–17.8)
Retail trade8.7 (4.7–12.6)Health care practitioners and technical10.8 (6.0–15.6)
Other services (except public administration)8.1 (3.9–12.3)Education, training, and library7.6 (4.1–11.1)
New Jersey
Education9.5 (5.3–13.7)Education, training, and library8.9 (3.9–13.9)
Health care and social assistance9.0 (4.7–13.3)Health care practitioners and technical8.5 (3.6–13.4)
Retail trade7.7 (3.2–12.2)Management7.5 (3.4–11.7)
New Mexico
Education11.2 (7.3–15.2)Personal care and service12.7 (6.6–18.8)
Public administration10.6 (5.6–15.6)Health care practitioners and technical11.7 (6.3–17.1)
Retail trade9.5 (5.2–13.8)Education, training, and library11.3 (6.2–16.3)
Other services (except public administration)9.4 (4.1–14.7)Sales and related11.1 (6.5–15.6)
Health care and social assistance8.9 (6.2–11.7)Office and administrative support9.3 (5.6–13.0)
New York
Health care and social assistance9.5 (6.1–12.8)Office and administrative support10.3 (4.2–16.3)
Education8.1 (4.3–12.0)Management9.8 (4.2–15.5)
North Dakota
Manufacturing11.2 (5.6–16.7)Office and administrative support11.2 (6.9–15.5)
Health care and social assistance9.2 (6.0–12.4)Health care practitioners and technical8.8 (4.2–13.5)
Mining, oil, and gas8.8 (4.2–13.5)Construction and extraction8.1 (3.4–12.7)
Construction7.6 (3.2–11.9)Education, training, and library7.6 (3.9–11.3)
Retail trade6.4 (3.5– 9.3)Sales and related5.9 (3.2–8.5)
Oregon
Public administration16.7 (9.1–24.2)Sales and related14.7 (6.7–22.8)
Health care and social assistance14.0 (9.8–18.1)Office and administrative support12.5 (7.6–17.4)
Manufacturing9.9 (5.6–14.2)Health care practitioners and technical10.9 (5.9–15.8)
Education8.9 (5.0–12.9)Education, training, and library8.7 (4.0–13.4)
Utah
Mining, oil, and gas13.5 (5.8–21.2)Personal care and service14.0 (7.3–20.7)
Other services (except public administration)12.4 (7.4–17.4)Production12.9 (8.1–17.8)
Manufacturing10.4 (7.3–13.6)Transportation and material moving10.9 (5.9–15.9)
Transportation and warehouse10.1 (5.3–15.0)Education, training, and library10.1 (6.8–13.4)
Professional, scientific, and technical services9.9 (5.9–13.9)Office and administrative support9.2 (6.7–11.6)
Washington
Accommodation and food services16.1 (9.0–23.1)Personal care and service17.4 (9.6–25.2)
Retail trade12.5 (8.6–16.4)Food preparation and service16.1 (8.3–23.8)
Health care and social assistance12.5 (9.4–15.6)Building and grounds cleaning and maintenance14.2 (6.6–21.8)
Administrative, support, waste management, and remediation11.5 (5.6–17.4)Health care practitioners and technical11.8 (7.4–16.1)
Professional, scientific, and technical services9.4 (6.3–12.4)Sales and related11.6 (7.0–16.2)
Wisconsin
Health care and social assistance11.4 (6.8–15.9)Office and administrative support9.6 (5.1–14.1)
Manufacturing8.1 (4.8–11.5)Sales and related7.8 (3.3–12.2)
Retail trade7.5 (3.8–11.2)
Education7.3 (3.3–11.3)
Wyoming
Accommodation and food services15.0 (7.3–22.6)Production14.1 (6.1–22.2)
Education10.9 (6.7–15.1)Education, training, and library12.5 (7.1–17.8)
Health care and social assistance10.4 (6.2–14.6)Sales and related9.7 (4.2–15.2)
Mining, oil, and gas7.6 (3.6–11.6)Office and administrative support8.4 (4.3–12.5)
Retail trade7.4 (3.1–11.7)Health care practitioners and technical8.1 (3.4–12.9)

Abbreviation: CI = confidence interval.
* “Yes” response to both questions: “Have you ever been told by a doctor or other health professional that you have asthma?” and “Do you still have asthma?”
Participants who, at the time of the interview, indicated they were employed for wages, out of work for <1 year, or self-employed.
§ Weighted to the state population using the survey sample weights for each BRFSS participant.
Unreliable estimates with a relative standard error ≥30 are not reported.

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Suggested citation for this article: Dodd KE, Mazurek JM. Asthma Among Employed Adults, by Industry and Occupation — 21 States, 2013. MMWR Morb Mortal Wkly Rep 2016;65:1325–1331. DOI: http://dx.doi.org/10.15585/mmwr.mm6547a1.

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