Asthma severity is a key indicator to assess asthma care and management. Severity status may vary over time. Assessing asthma severity periodically is important for monitoring the health and well-being of people with asthma.
To assess population-based asthma severity and to identify related-risk factors among children and adults with asthma.
We used the 2006–2010 BRFSS child and adult Asthma Call-back Survey. Asthma severity was classified as intermittent or persistent. We performed multivariate logistic regression to identify related-risk factors.
Overall, 63.8% of persons with asthma had persistent asthma. Persistent asthma was more prevalent among children aged 0–4 years (71.8%; prevalence rate ratio [PR] = 1.3). Among adults with current asthma, persistent asthma was more prevalent among those who were 45 years or older (aged 45–54: 69.4%; PR = 1.1, aged 55–64: 72.6%; PR = 1.2, and aged 65+: 77.8%; PR = 1.3); annual household incomes of <$15 000 (74.1%; PR = 1.1); and first diagnosed at age 55 years or older (first diagnosed at age 55–64: 80.4%; PR = 1.1, at age 65 + : 81.5%; PR = 1.1). The prevalence of persistent asthma was also higher among current smokers who were also exposed to secondhand smoke (SHS) (74.7%; PR = 1.1); and among those with Chronic Obstructive Pulmonary Disease (COPD) (77.1%; PR = 1.2).
Nearly two-thirds of children and adults with asthma had persistent asthma. Identifying related-risk factors could help improve targeted interventions or strategies to reduce modifiable predictors (low income, smoking, and SHS) of increased asthma severity. Such strategies could improve asthma care and quality of life.
Asthma is a chronic lung disease that inflames and narrows the airways.
Asthma affects nearly 26 million people, including 7.0 million children [
Although the causes of asthma and the determinants of asthma severity remain
poorly understood, multiple environmental and genetic factors play an important role
in the development of asthma and the exacerbation of asthma symptoms [
Assessing the health and economic burden of the disease requires that one
take both asthma severity and control into account. Several population-based studies
have assessed the level of asthma control and examined the factors associated with
asthma control [
To evaluate population-based asthma severity, Fuhlbrigge and colleagues
[
We analyzed 2006–2010 data from the BRFSS Asthma Call-back Survey (ACBS) for children (aged 0–17 years) and adults (aged 18 years and older). We combined 5 years of survey data to provide more stable estimates. During the 2006–2010 survey years, 35 states and the District of Columbia participated in the Child ACBS, while 40 states and the District of Columbia participated in the Adult ACBS.
The BRFSS ACBS is developed and funded by the Air Pollution and
Respiratory Health Branch (APRHB) in the National Center for Environmental
Health (NCEH), Centers for Disease Control and Prevention (CDC). It has been
implemented as a follow-up survey to the BRFSS since 2006. The BRFSS ACBS is
conducted approximately 2 weeks after the BRFSS telephone interview. Although
BRFSS is a state-based, random-digit-dialed telephone survey of
non-institutionalized U.S. adults, the BRFSS survey contains a Random Child
Selection module and a Child Asthma Prevalence module, both of which were used
in participating states to identify households with a child who had asthma in
order to administer the Child ACBS. BRFSS respondents who report ever being
diagnosed with asthma are eligible for the ACBS. Only one adult or one child per
household could participate in the ACBS. An adult family member served as a
proxy respondent for the child. The ACBS collects in-depth information about
asthma symptoms and episodes/attacks, self-management education, healthcare
utilization and access, medication use, comorbidities, and environmental
allergens and irritants [
We evaluated asthma severity status among children and adults with
current asthma. Consistent with the methodology used with previous CDC
publications, respondents were considered to have current asthma if they
answered “yes” to both questions “Have you ever been told
by a doctor, nurse, or other health professional that you had asthma?”
and “Do you still have asthma?” [
Asthma severity was classified according to the severity classification
for clinical research and population-based evaluations that was stated in EPR-3
[
In addition, for both children and adults, variables for demographic characteristics (age, sex, race/ethnicity), annual household income, age at the time asthma was first diagnosed, time since asthma was diagnosed, and environmental factors (secondhand smoking, pets allowed in bedroom, saw cockroach inside home in past 30 d, and saw or smelled mold in the past 30 d) were included in the analysis. For adults only, body mass index (BMI) (defined as weight in kilograms divided by height in square meters; obese = BMI ≥ 30), the presence of chronic obstructive pulmonary disease (COPD), depression, and smoking status were also included in the analysis. Depression variable includes responses to the question: “ever been told by a doctor or other professional that you were depressed?” and the COPD variable includes responses to the questions: “ever been told by a doctor or other professional that you have emphysema,” “ever been told by a doctor or other professional that you have COPD,” or “ever been told by a doctor or other professional that you have chronic bronchitis.”
We used SAS-callable SUDAAN (version 10.0.0, RTI International, NC) to
account for the complex sampling design of the BRFSS ACBS. Data from the
participating states for each year were reweighted to account for the
differences in sample size by year. We used sample weights to produce estimates
that were generalizable to a participating state’s population. In
addition to calculating descriptive statistics, we used the chi-square test and
multivariate logistic regression to test for group differences and association
between persistent asthma status and independent variables of interest. We
presented weighted percent estimates, adjusted prevalence ratios (aPR)
(predicted marginal risk ratio), and 95% confidence intervals (CI). All
prevalence ratios for both children and adults were adjusted (aPR) for sex, age,
annual household income, age at first asthma diagnosis, time since asthma
diagnosis, and environmental factors. In addition, prevalence ratios for adults
were also adjusted for BMI, COPD, and depression. We did not find any
multi-collinearity between independent variables since all tolerance estimates
were ≥0.73, and only tolerance estimates below 0.40 are a concern [
Overall, 63.8% of persons with current asthma had persistent asthma, 36.2% had intermittent asthma, 42.5% were on long-term control medication, and 47.5% had uncontrolled asthma.
In the combined 2006 through 2010 BRFSS ACBS sample, 9697 children
met the definition of current asthma and were included in this analysis. Of
children with current asthma, 60.3% met the definition for persistent asthma
and 39.7% for intermittent asthma. Forty-six percent of children with
current asthma were on long-term control medications and 38.4% had
uncontrolled asthma (either not well controlled or very poorly controlled
asthma) (
Most of the children with current asthma were non-Hispanic white
(57%) and male (57%). By age, 18.3% of children with asthma were aged
0–4 years, 43% were aged 5–11 years and 38% were aged
12–17 years. More than 50% of the children with asthma were in homes
with annual household income of $50 000 or more. More than 65% had their
asthma initially diagnosed when they were between ages 0 and 4 years. About
10% had been diagnosed with asthma within the past 12 months, and 41% were
diagnosed 1–5 years ago, while 48% were diagnosed more than 5 years
ago. The birth weight of most children with asthma was 2500 g or more (not
low birth weight). Sixty-six percent had pets, and for 33% of the children,
the pet was allowed in the child’s bedroom. Between 8% and 10% of the
children with asthma were exposed to secondhand smoke (SHS) (9.9%), lived
where a cockroach was seen (8.0%), or where mold was seen or smelled inside
the home in the past 30 d (9.0%) (
Persistent asthma prevalence was significantly higher among children
with asthma aged 0–4 years (71.8%; aPR = 1.3[1.1–1.5]) than
among those aged 12–17 years (52.9%), and was significantly lower
among members of other races (49.0%; aPR = 0.8[0.6–0.9]) than among
whites (61.3%). Unadjusted persistent asthma prevalence was also
significantly higher among those who had been diagnosed with asthma at
0–4 years of age (63.9%) than among those who had been diagnosed at
12–17 years of age (47.1%). It was also higher if the time since
asthma was first diagnosed was within the past 12 months (73.8%) than if it
was diagnosed more than 5 years ago (57.8%); however, after adjustment for
other variables in the model, these associations were no longer
statistically significant. Regardless of adjustment, no association was
observed with sex, household income, birth weight, and all environmental
factors (SHS, saw cockroach inside home in past 30 d, or saw or smelled mold
in past 30 d) (
In the combined 2006 through 2010 BRFSS ACBS sample 52210 adults
classified as having current asthma were included in this analysis. Of
adults with current asthma, 64.8% met the definition of persistent asthma
and 35.2% met the definition of intermittent asthma. About 41% of adults
with current asthma were on long-term control medications and 50% had
uncontrolled asthma (either not well controlled or very poorly controlled
asthma) (
The majority of adults with current asthma were non-Hispanic whites
(74.6%), and female (63.1%). About 31% of adults with current asthma were
aged 18–34 years, 18.5% were aged 35–44 years, 19.6% were aged
45–54 years, 15.9% were aged 55–64, and 15.3% were aged 65+
years. Nearly 45% of adults with asthma had annual household incomes of $50
000 or more. Forty-five percent had child-onset asthma and 55% had
adult-onset asthma. Most of the adults with current asthma were diagnosed
more than 5 years ago (85.7%). Thirty-nine percent were obese. About 50.4%
were smokers (current or former) or exposed to SHS. One-third had COPD
(34.6%) and 34.7% had depression. Sixty percent had pets, and 44% of adults
with asthma allowed the pets in their bedroom. About 10% saw a cockroach
inside the home in the past 30 d (9.7%) or saw/smelled mold in the past 30 d
(11.6%) (
Persistent asthma prevalence was significantly higher among adults
with current asthma who were 45 years or older (45–54: 69.4%; aPR =
1.1[1.1–1.2]; 55–64: 72.6%; aPR = 1.2[1.1–1.2]; 65 + :
77.8%; aPR = 1.3[1.2–1.3]) than among those aged 18–34 years
(53.4%). Persistent asthma prevalence was higher among adults with household
income less than $15 000 (74.1%; aPR = 1.1[1.1–1.2]) than among those
with income of $75 000 or more (58.1%). Persistent asthma prevalence was
higher for those with older age at first diagnosis. Rates were significantly
higher for those with an age at first diagnosed of 55–64 (80.4%; aPR
= 1.1[1.1–1.2]) and 65+: 81.5%; aPR = 1.1[1.1–1.2]. In
contrast, persistent asthma prevalence for those diagnosed at age
18–24 years was 63.2%. Also significantly associated with higher
rates of persistent asthma were having COPD (77.1%; aPR =
1.2[1.1–1.2]) and smokers who were also exposed to SHS (74.7%; aPR =
1.1[1.1–1.2]). The corresponding reference levels were 58.4% and
60.1% respectively. Unadjusted persistent asthma prevalence was
significantly higher among females (66.3%) than among males (62.2%) and
among adults whose time since asthma diagnosis was within the past 12 months
(75.5%) than if initial diagnosis was more than 5 years ago (64.1%). The
unadjusted persistent asthma prevalence was higher among the obese (68.4%)
than among the non-obese (62.3%) and it was higher among those who were
depressed (70.5%) than among those who were not (62.0%). However, after
adjustment for other variables in the model, the associations with sex, time
since diagnosis, obesity, and depression were no longer statistically
significant. Regardless of adjustment, neither race/ethnicity nor any of the
environmental factors (pets allowed in bedroom, saw cockroach inside home in
past 30 d, or saw or smelled mold in past 30 d) were associated with
persistent asthma status (
The purpose of this population-based study was to assess asthma severity and
identify related potential risk factors among children and adults with current
asthma who participated in the ACBS in the years 2006 through 2010. Similar to the
findings of previous studies [
Multiple extraneous factors (e.g. inadequate treatment, non-adherence to
treatment regimens, reduced responsiveness to therapy, uncontrolled environmental
triggers and irritants, and comorbid conditions) could contribute to these findings
[
As with previous studies [
The strength of this study is that we analyzed a large sample size of children and adults with current asthma and assessed asthma severity status and symptom control in states that participated in the ACBS; the ACBS is the only survey providing most of the indicators that allow classification of asthma severity and asthma control by use of the NAEPP guidelines (EPR-3) and can be used to evaluate population-based asthma severity and symptom control.
There are also limitations to our study. One limitation is that the
indicators available in the ACBS which can be used to classify asthma control and
severity circumscribed our findings. Because of the content of the ACBS
questionnaire, we were unable to include all of the required elements in the NAEPP
guidelines (e.g. activity limitation, pulmonary function measures, asthma
exacerbations that require oral corticosteroid and lung growth status in children)
[
Our findings indicate that nearly two-third of children and adults with current asthma had persistent asthma. Moreover, despite national guidelines for asthma control and available advanced medical treatments, 38% of children and 50% of adults had uncontrolled asthma. Age (being aged 0–4 or 45 years or older), having a household income of less than $15 000, the age at which asthma is initially diagnosed (if aged 55 years or older), smoking and exposure to SHS, and COPD were significantly associated with having persistent asthma. There is a need for further studies to identify additional modifiable contributing factors for persistent asthma, because asthma severity determines the level of asthma control and responsiveness to therapy. Such additional studies can lead to development of targeted interventions or strategies that will reduce modifiable predictors of increased asthma severity and poor asthma control and, in turn, improve asthma care and quality of life.
Declaration of interest
The authors, H.S. Zahran, C. Bailey, X. Qin, and J.E. Moorman declare no conflicts of interest. The authors alone are responsible for the content and writing of the article.
Classification of asthma control modified from the National Asthma Education and Prevention Program Expert Panel Report 3 guidelines.
| Measures for current impairment | Well controlled | Not well controlled | Very poorly controlled |
|---|---|---|---|
| Symptoms | ≤2 d/week | >2 d/week | Throughout the day |
| Nighttime awakenings | ≤1×/month (aged 0–4
yrs) | >1×/month (aged 0–4
yrs) | >1×/week (aged 0–4
yrs) |
| Short-acting β2-agonists
used | ≤2 d/week | >2 d/week | Several times/day |
Classification of asthma severity for research and population-based estimates from the National Asthma Education and Prevention Program Expert Panel Report 3 guidelines.
| Asthma severity | Long-term control | Asthma control status |
|---|---|---|
| Intermittent asthma | No |
Well controlled |
| Persistent asthma | Yes |
Well controlled, Not well controlled, or Very poorly controlled asthma |
| No |
Not well controlled or Very poorly controlled asthma |
Asthma severity, long-term control medication, and uncontrolled asthma status
among children and adults with current asthma
| All persons | Children with
asthma | Adults with asthma | |||
|---|---|---|---|---|---|
| % (95% CI | Sample size | % (95% CI | Sample size | % (95% CI | |
| Asthma severity status | |||||
| Intermittent Asthma | 36.2 (35.2–37.1) | 4013 | 39.7 (37.4–41.9) | 15 680 | 35.2 (34.1–36.2) |
| Persistent Asthma | 63.8 (62.9–64.8) | 5684 | 60.3 (58.1–62.6) | 36 530 | 64.8 (63.8–65.9) |
| Long-term control medication | 42.5 (41.6–43.4) | 4332 | 46.0 (43.7–48.3) | 24 786 | 41.5 (40.5–42.5) |
| Uncontrolled asthma (Not well-
or | 47.5 (46.6–48.5) | 3518 | 38.4 (36.2–40.8) | 27 832 | 50.0 (49.0–51.1) |
Data source: CDC/BRFSS. Behavioral Risk Factor Surveillance System: Child and Adult Asthma Call-Back Survey, 2006–2010.
Includes persons who answered “yes” to the questions: “Have you ever been told by a doctor, nurse, or other health professional that you had asthma?” and “Do you still have asthma?”
Weighted and unadjusted percentage and 95% confidence interval.
Unweighted pooled sample size, 2006–2010. Due to item non-response, individual characteristic categories may not sum to total.
Asthma severity status among children (aged 0–17 years) with current
asthma
| Survey
respondents | Persistent asthma
prevalence | Adjusted prevalence | ||
|---|---|---|---|---|
| Characteristics | Sample size | % (95% CI | % (95% CI | aPR |
| Total | 9697 | 60.3 (58.1–62.6) | ||
| Sex | ||||
| Male | 5536 | 57.0 (54.7–59.3) | 61.2 (58.2–64.1) | Referent |
| Female | 4126 | 43.0 (40.7–45.4) | 59.0 (55.5–62.5) | 1.0 (0.9–1.1) |
| Age, year range | ||||
| 0–4 | 1213 | 18.3 (16.4–20.4) | 71.8 (66.3–76.8) | 1.3 (1.1–1.5) |
| 5–11 | 3746 | 43.5 (41.2–45.9) | 62.1 (58.6–65.4) | 1.1 (1.0–1.3) |
| 12–17 | 4738 | 38.2 (36.0–40.4) | 52.9 (49.4–56.3) | Referent |
| Race/ethnicity | ||||
| White | 6472 | 57.2 (54.7–59.6) | 61.3 (58.7–63.8) | Referent |
| Black | 991 | 15.9 (14.2–17.9) | 62.4 (56.1–68.3) | 1.0 (0.9–1.1) |
| Hispanic | 971 | 16.9 (15.0–19.1) | 63.2 (56.3–69.5) | 1.0 (0.9–1.1) |
| Other race | 904 | 10.0 (8.5–11.6) | 49.0 (40.9–57.1) | 0.8 (0.6–0.9) |
| Household income | ||||
| <$15 000 | 811 | 11.7 (9.9–13.9) | 65.2 (56.9–72.7) | 1.1 (0.9–1.2) |
| $15 000–$24 999 | 1223 | 14.5 (12.9–16.3) | 56.7 (50.0–63.2) | 0.9 (0.8–1.1) |
| $25 000–$49 999 | 2103 | 21.0 (19.3–22.9) | 60.4 (55.6–64.9) | 1.0 (0.9–1.1) |
| $50 000–$74 999 | 1684 | 16.6 (14.9–18.5) | 59.7 (54.0–65.2) | 1.0 (0.9–1.1) |
| ≥$75 000 | 3351 | 36.1 (34.0–38.3) | 60.9 (57.3–64.3) | Referent |
| Age at asthma diagnosis | ||||
| 0–4 | 5633 | 65.8 (63.7–67.9) | 63.9 (61.1–66.6) | 1.2 (1.0–1.5) |
| 5–11 | 3120 | 28.5 (26.5–30.5) | 54.7 (50.6–58.7) | 1.2 (0.9–1.4) |
| 12–17 | 751 | 5.7 (4.8–6.7) | 47.1 (38.5–55.8) | Referent |
| Time since asthma diagnosis | ||||
| Within the past 12 months | 810 | 9.9 (8.6–11.4) | 73.8 (66.5–80.0) | 1.2 (1.0–1.4) |
| 1–5 years ago | 3698 | 41.5 (39.2–43.8) | 60.2 (56.5–63.7) | 1.0 (0.9–1.1) |
| More than 5 years ago | 5156 | 48.6 (46.3–51.0) | 57.8 (54.7–61.0) | Referent |
| Birth weight | ||||
| Low birth weight (less than 2500 g) | 1059 | 14.0 (12.5–15.7) | 57.4 (51.1–63.5) | 0.9 (0.8–1.0) |
| Not low birth weight | 8070 | 86.0 (84.3–87.5) | 60.9 (58.4–63.3) | Referent |
| Secondhand Smoke exposure | ||||
| Yes | 877 | 9.9 (8.3–11.8) | 58.5 (49.8–66.8) | 1.0 (0.9–1.1) |
| No | 8796 | 90.1 (88.2–91.7) | 60.6 (58.3–62.9) | Referent |
| Pets allowed in bedroom | ||||
| Pets allowed | 3754 | 33.3 (31.2–35.5) | 56.1 (52.4–59.8) | 0.9 (0.9–1.0) |
| Pets NOT allowed | 2226 | 22.7 (20.9–24.7) | 63.3 (58.4–67.9) | 1.1 (1.0–1.2) |
| No pets | 3710 | 44.0 (41.7–46.3) | 62.0 (58.5–65.4) | Referent |
| Saw cockroach inside home past 30 d | ||||
| Yes | 721 | 8.0 (6.9–9.3) | 62.8 (54.6–70.3) | 1.0 (0.9–1.2) |
| No | 8945 | 92.0 (90.7–93.1) | 60.3 (57.9–62.6) | Referent |
| Saw or smelled mold past 30 d | ||||
| Yes | 929 | 9.1 (7.8–10.6) | 68.0 (61.2–74.2) | 1.1 (1.0–1.3) |
| No | 8720 | 90.9 (89.4–92.2) | 59.7 (57.3–62.1) | Referent |
Data source: CDC/BRFSS. Behavioral Risk Factor Surveillance System: Child Asthma Call-Back Survey, 2006–2010.
Includes persons who answered “yes” to the questions: “Have you ever been told by a doctor, nurse, or other health professional that you had asthma?” and “Do you still have asthma?”
Unweighted pooled sample size, 2006–2010. Due to item non-response, individual characteristic categories may not sum to total.
Weighted and unadjusted percentage and 95% confidence interval.
Race categories “white, non-Hispanic”, “black, non-Hispanic”, include persons who indicated only a single race group. “Other races, non-Hispanic” includes Asian, American Indian Alaskan Native, Native Hawaiian and Other Pacific Islander, persons reporting more than one race, and persons reporting their race as something other than those listed here.
Second-hand smoke exposure (SHS) status: includes children whose caregivers answered “yes” to the questions: “In the past week, has anyone smoked inside [his/her] home?”
Asthma severity status among adults (aged 18 years or older) with current
asthma
| Survey
respondents | Persistent asthma | Adjusted prevalence | ||
|---|---|---|---|---|
| Characteristics | Sample size | % | % | aPR |
| Total | 52 210 | 64.8 (63.8–65.9) | ||
| Sex | ||||
| Male | 13 760 | 36.9 (35.9–38.0) | 62.2 (60.2–64.3) | Referent |
| Female | 38 450 | 63.1 (62.0–64.1) | 66.3 (65.2–67.5) | 1.0 (1.0–1.1) |
| Age, year range | ||||
| 18–34 | 5617 | 30.7 (29.5–31.9) | 53.4 (50.8–56.0) | Referent |
| 35–44 | 6821 | 18.5 (17.8–19.3) | 61.4 (59.1–63.7) | 1.1 (1.0–1.1) |
| 45–54 | 11 416 | 19.6 (18.9–20.3) | 69.4 (67.8–71.0) | 1.1 (1.1–1.2) |
| 55–64 | 13 509 | 15.9 (15.4–16.5) | 72.6 (71.1–74.1) | 1.2 (1.1–1.2) |
| 65+ | 14 643 | 15.3 (14.8–15.8) | 77.8 (76.5–79.1) | 1.3 (1.2–1.3) |
| Race/ethnicity | ||||
| White | 42 517 | 74.6 (73.6–75.6) | 65.5 (64.3–66.6) | Referent |
| Black | 3236 | 9.7 (9.0–10.3) | 63.8 (60.1–67.4) | 1.0 (0.9–1.1) |
| Hispanic | 2342 | 9.0 (8.3–9.7) | 61.6 (57.2–65.8) | 1.0 (0.9–1.0) |
| Other race | 3656 | 6.7 (6.2–7.4) | 62.8 (57.8–67.5) | 1.0 (0.9–1.0) |
| Household income | ||||
| <$15 000 | 8146 | 14.7 (14.0–15.5) | 74.1 (71.5–76.5) | 1.1 (1.1–1.2) |
| $15 000–$24 999 | 8967 | 16.7 (15.8–17.5) | 69.5 (66.6–72.3) | 1.1 (1.0–1.1) |
| $25 000–$49 999 | 12 351 | 23.8 (23.0–24.7) | 65.7 (63.7–67.7) | 1.0 (1.0–1.1) |
| $50 000–$74 999 | 7143 | 15.1 (14.4–15.8) | 63.0 (60.4–65.6) | 1.0 (1.0–1.1) |
| ≥$75 000 | 10 428 | 29.7 (28.7–30.7) | 58.1 (55.9–60.2) | Referent |
| Age at asthma diagnosis | Not included | |||
| Child-onset asthma | 15 033 | 44.9 (43.8–46.0) | 57.5 (55.6–59.3) | – |
| Adult-onset asthma | 34 303 | 55.1 (54.0–56.2) | 71.4 (70.2–72.5) | – |
| Age at asthma diagnosis | ||||
| 0–4 | 4262 | 12.4 (11.7–13.2) | 63.8 (60.5–67.0) | 1.1 (1.0–1.1) |
| 5–11 | 6347 | 18.8 (17.9–19.8) | 55.8 (52.9–58.7) | 0.9 (0.9–1.0) |
| 12–17 | 4424 | 13.6 (12.8–14.5) | 54.0 (50.5–57.4) | 0.9 (0.9–1.0) |
| 18–24 | 4329 | 10.4 (9.8–11.1) | 63.2 (59.9–66.3) | Referent |
| 25–34 | 6915 | 13.5 (12.8–14.2) | 66.1 (63.2–68.9) | 1.0 (1.0–1.1) |
| 35–44 | 7817 | 12.7 (12.1–13.3) | 72.9 (70.5–75.2) | 1.1 (1.0–1.2) |
| 45–54 | 7109 | 9.2 (8.8–9.7) | 76.6 (74.6–78.5) | 1.1 (1.0–1.2) |
| 55–64 | 4849 | 5.6 (5.3–6.0) | 80.4 (78.0–82.6) | 1.1 (1.1–1.2) |
| 65+ | 3284 | 3.7 (3.4–3.9) | 81.5 (78.8–83.9) | 1.1 (1.1–1.2) |
| Time since asthma diagnosis | ||||
| Within the past 12 months | 1471 | 3.0 (2.7–3.4) | 75.5 (69.9–80.4) | 1.1 (1.0–1.2) |
| 1–5 years ago | 6088 | 11.3 (10.6–12.0) | 68.0 (64.4–71.3) | 1.0 (0.9–1.1) |
| More than 5 years ago | 44 466 | 85.7 (84.9–86.4) | 64.1 (63.0–65.2) | Referent |
| Body Mass Index (BMI) | ||||
| Obese | 20 714 | 39.4 (38.4–40.4) | 68.4 (66.7–70.1) | 1.1 (1.0–1.1) |
| Non-obese | 29 539 | 60.6 (59.6–61.6) | 62.3 (61.0–63.7) | Referent |
| Smoking status and SHS | ||||
| Current smoker & SHS | 6353 | 11.9 (11.2–12.6) | 74.7 (71.7–77.6) | 1.1 (1.1–1.2) |
| Current smoker & No SHS | 3138 | 7.6 (7.1–8.2) | 65.2 (61.5–68.8) | 1.0 (1.0–1.1) |
| Former smoker & SHS | 1341 | 2.6 (2.3–2.9) | 74.2 (68.6–79.2) | 1.1 (1.0–1.2) |
| Former smoker & No SHS | 16 247 | 24.6 (23.8–25.4) | 69.3 (67.3–71.2) | 1.0 (1.0–1.1) |
| Non-smoker & SHS | 1143 | 3.8 (3.3–4.3) | 61.3 (53.9–68.3) | 1.0 (0.9–1.1) |
| Non-smoker &No SHS | 23 667 | 49.6 (48.6–50.7) | 60.1 (58.6–61.6) | Referent |
| COPD | ||||
| Yes | 21 539 | 34.6 (33.7–35.5) | 77.1 (75.6–78.6) | 1.2 (1.1–1.2) |
| No | 30 480 | 65.4 (64.5–66.4) | 58.4 (57.1–59.7) | Referent |
| Depression | ||||
| Yes | 19 734 | 34.7 (33.7–35.6) | 70.5 (68.9–72.1) | 1.1 (1.0–1.1) |
| No | 32 133 | 65.3 (64.4–66.3) | 62.0 (60.6–63.3) | Referent |
| Pets allowed in bedroom | ||||
| Pets allowed | 22 711 | 44.3 (43.3–45.3) | 65.6 (64.1–67.1) | 1.1 (1.0–1.1) |
| Pets NOT allowed | 6950 | 15.2 (14.4–16.0) | 65.5 (62.6–68.4) | 1.0 (1.0–1.1) |
| No pets | 22 542 | 40.5 (39.5–41.5) | 63.7 (62.1–65.3) | Referent |
| Saw cockroach inside home past 30 d | ||||
| Yes | 4098 | 9.7 (9.1–10.3) | 66.0 (62.5–69.4) | 1.0 (0.9–1.1) |
| No | 47 972 | 90.3 (89.7–90.9) | 64.8 (63.7–65.8) | Referent |
| Saw or smelled mold past 30 d | ||||
| Yes | 6017 | 11.6 (11.0–12.2) | 69.1 (66.2–71.8) | 1.1 (1.0–1.1) |
| No | 45 844 | 88.4 (87.8–89.0) | 64.3 (63.2–65.4) | Referent |
Data source: CDC/BRFSS. Behavioral Risk Factor Surveillance System: Child Asthma Call-Back Survey, 2006–2010.
Includes persons who answered “yes” to the questions: “Have you ever been told by a doctor, nurse, or other health professional that you had asthma?” and “Do you still have asthma?”
Unweighted pooled sample size, 2006–2010. Due to item non-response, individual characteristic categories may not sum to total.
Weighted and unadjusted percent and 95% confidence interval.
Race categories “white, non-Hispanic”, “black, non-Hispanic”, include persons who indicated only a single race group. “Other races, non-Hispanic” includes Asian, American Indian Alaskan Native, Native Hawaiian and Other Pacific Islander, persons reporting more than one race, and persons reporting their race as something other than those listed here.
Includes adults who smoke and answered “yes” to the questions: “In the past week, has anyone smoked inside your home [secondhand smoke exposure (SHS)]?”.
Includes adults with emphysema or chronic bronchitis.