Comparison of 2 Disability Measures, Behavioral Risk Factor Surveillance System, 2013
ORIGINAL RESEARCH — Volume 13 — August 11, 2016
Alissa C. Stevens, MPH; Elizabeth A. Courtney-Long, MA, MSPH; Catherine A. Okoro, MS, PhD; Dianna D. Carroll, PhD
Suggested citation for this article: Stevens AC, Courtney-Long EA, Okoro CA, Carroll DD. Comparison of 2 Disability Measures, Behavioral Risk Factor Surveillance System, 2013. Prev Chronic Dis 2016;13:160080. DOI: http://dx.doi.org/10.5888/pcd13.160080external icon.
Beginning in 2013, in addition to the 2-item disability question set asked since 2001, Behavioral Risk Factor Surveillance System (BRFSS) began using 5 of the 6 items from the US Department of Health and Human Services–recommended disability question set. We assess and compare disability prevalence using the 2-question and 5-question sets and describe characteristics of respondents who identified as having a disability using each question set.
We used data from the 2013 BRFSS to estimate the prevalence of disability for each question set and the 5 specific types of disability. Among respondents identified by each disability question set, we calculated the prevalence of selected demographic characteristics, health conditions, health behaviors, and health status.
With the 2-question set, 21.6% of adults had a disability and with the 5-question set, 22.7% of adults had disability. A total of 51.2% of adults who identified as having a disability with either the 2-question or 5-question set reported having disabilities with both sets. Adults with different disability types differed by demographic and health characteristics.
The inclusion of the 5 new disability questions in BRFSS provides a level of detail that can help develop targeted interventions and programs and can guide the adaptation of existing health promotion programs to be more inclusive of adults who experience specific types of disabilities.
Adults with disabilities represent a significant proportion (approximately 20%–30%) of the US population (1–3), experience health disparities (4–6), and have higher health care utilization (7–9). To monitor the health of this population, measures identifying adults with disabilities are often included in public health surveillance systems. However, disability is a complex, multidimensional concept that is difficult to fully assess with few questions on a survey (2,3). As a result, several questions have been used in large-scale population-based surveys that identify different aspects of disability and therefore yield different estimates (2,3,10–12). These differences are partly due to inconsistent measurement of disability, but also to variation in survey methods (eg, mode of data collection, sampling frame and design).
In 2013, the Behavioral Risk Factor Surveillance System (BRFSS) included 2 question sets that each measure disability. The first, a 2-question measure included on the questionnaire since 2001, assesses general activity limitation and special equipment use (11). The second is a 5-question measure that assesses serious difficulty in vision, cognition, or ambulation and any difficulty in self-care or independent living and is a subset of a standard 6-question set recommended by the US Department of Health and Human Services (HHS) for inclusion in population-based health surveys (12). Although the 2013 questionnaire did not include the sixth HHS-recommended question that assesses serious difficulty hearing, this question was included on the questionnaire beginning in 2016.
The inclusion of these 2 question sets in BRFSS provides a unique opportunity to compare 2 measures of disability. Any differences noted will result from differences in how disability is measured rather than methodological considerations, as when comparing disability estimates across surveys (13–16). The purpose of this study was to compare the prevalence of disability measured by the 2 question sets and to describe demographic and health characteristics of respondents who identified as having a disability using each measure.
We used data from 2013 BRFSS, an annual state-based telephone survey of the civilian, noninstitutionalized US population that collects information on demographics, health behaviors, and health conditions (17). All 50 states, the District of Columbia, Guam, and Puerto Rico collected data from both landline and cellular telephone respondents. Response rates for BRFSS are calculated as the proportion of respondents who completed the survey among all eligible and possibly eligible persons using standards set by the American Association of Public Opinion Research Response Rate Formula no. 4 (http://www.aapor.org/Content/NavigationMenu/ResourcesforResearchers/StandardDefinitions/StandardDefinitions2009new.pdf). The median survey response rate for 2013 for all states, territories, and the District of Columbia was 46.4%, ranging from 29.0% to 60.3% (18). Data were collected for 491,773 respondents, of whom 487,044 respondents reported a valid age of 18 years or older. We excluded respondents with missing, “refused”, or “don’t know” responses for any of the 7 disability questions (n = 20,298), resulting in an analytic sample of 466,746 respondents.
Respondents were categorized as having a disability according to the 2-question measure if they answered yes to either of the following questions: 1) “Are you limited in any way in any activities because of physical, mental, or emotional problems?” (an activity limitation); and 2) “Do you now have any health problem that requires you to use special equipment, such as a cane, a wheelchair, a special bed, or a special telephone?” (use of special equipment). Respondents who answered no to both questions were considered not to have a disability according to this measure.
Respondents were categorized as having a disability according to the 5-question measure if they answered yes to any of the following questions: 1) “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” (a vision disability); 2) “Because of a physical, mental, or emotional condition, do you have serious difficulty concentrating, remembering, or making decisions?” (a cognitive disability); 3) “Do you have serious difficulty walking or climbing stairs?” (an ambulatory disability); 4) “Do you have difficulty dressing or bathing?” (a self-care disability); and 5) “Because of a physical, mental, or emotional condition, do you have difficulty doing errands alone, such as visiting a doctor’s office or shopping?” (an independent living disability). Respondents who answered no to all 5 questions were considered not to have a disability according to this measure.
Respondents could identify as having a disability with either or both the 2-question and 5-question sets; thus, these categories were not mutually exclusive. Therefore, we also calculated a variable with mutually exclusive disability groups: both 2-question and 5-question disability, 2-question disability only, and 5-question disability only. We did not combine all 7 questions into a single measure of disability, because the 2-question and 5-question sets are intended to represent distinct measures of disability. To analyze the types of disability identified by the 5-question set, we calculated a variable with mutually exclusive disability types: vision disability only, cognitive disability only, ambulatory disability only, self-care disability only, independent living disability only, and 2 or more types of disability.
We used SAS-callable SUDAAN version 11.0 (RTI International) to account for complex survey design. Analyses were weighted to account for survey noncoverage and nonresponse and to adjust for demographic characteristics such as age, sex, race/ethnicity, and telephone ownership. We estimated the overall prevalence of disability for each question set (ie, disability identified by the 2-question set or the 5-question set) as well as the prevalence of 5 specific disability types. Among respondents identified by each disability measure (2-question set, 5-question set, and 5 types of disability), we calculated the prevalence of selected demographic characteristics (age group, sex, race/ethnicity), health conditions (arthritis, heart disease, diabetes, obesity, depression, hypertension, or 2 or more of these conditions), health behaviors (current smoking [smoked at least 100 cigarettes in their lifetime and currently smoked either every day or some days], binge drinking in the past 30 days [consumed at least 5 drinks (men) or at least 4 drinks (women) on an occasion one or more times during the past 30 days], receipt of an influenza [flu] vaccine in the past year, engaging in sufficient aerobic physical activity [participated in ≥150 minutes of moderate-intensity equivalent aerobic activity per week]), and health status (fair or poor self-rated health, ≥14 poor physical health days in the past 30 days, ≥14 poor mental health days in the past 30 days).
More than 80% of the weighted adult sample was younger than 65 years, more than half were female, and nearly two-thirds were non-Hispanic white. Hypertension was the most commonly reported health condition (32.5%), followed by obesity (28.4%) and arthritis (25.1%). Overall, 18.1% (95% confidence interval [CI], 17.9%–18.4%) of adults were current smokers, 16.7% (95% CI, 16.4%–16.9%) reported binge drinking, 38.5% (95% CI, 38.2%–38.7%) reported getting a flu vaccine in the past year, and 49.8% (95% CI, 49.5%–50.1%) reported engaging in sufficient aerobic physical activity. Fair or poor self-rated health was reported by 17.8% (95% CI, 17.6%–18.0%) of adults, and 14 or more physically and mentally unhealthy days were reported by 12.0% (95% CI, 11.8%–12.2%) and 11.3% (95% CI, 11.1%–11.5%) of adults, respectively. Disability prevalence using the 2-question measure was 21.6% (95% CI, 21.4%–21.8%) and 22.7% (95% CI, 22.4%–22.9%) using the 5-question measure. Overall, having an activity limitation (19.7%) was the most frequently reported item on the 2-question measure, while ambulatory disability (13.8%) was the most commonly reported disability type of the 5-question measure (Table 1).
There were differences in the prevalence of many respondent characteristics between the 2 disability measures that were not mutually exclusive. Notably, compared with adults whose disability was identified by the 2-question measure, the group whose disability was identified by the 5-question measure had a higher proportion of people aged 18 to 24 (8.5% vs 5.7%) and Hispanic adults (16.8% vs 11.4%). Although a lower prevalence of arthritis (51.8% vs 56.6%) was seen among people whose disability was identified by the 5-question set compared with people whose disability was identified by the 2-question set, the prevalence of heart disease, diabetes, obesity, and fair or poor self-rated health was similar for the 2 groups (Table 1).
Among adults reporting disability, about half (51.2%) reported having disability with both the 2-question and the 5-question set, while 22.6% reported disability only in response to the 2-question set and 26.3% reported disability only in response to the 5-question set (r = 0.60; P < .001; data not shown). Adults with a disability according to both measures had a higher prevalence of health conditions and poor health status indicators compared with people whose disability was identified by only one of the measures. For example, nearly two-thirds (62.1%) of adults identified as having a disability using both measures had arthritis compared with 44.3% (95% CI, 43.3%–45.3%) of people whose disability was identified only by the 2-question set and 31.8% (95% CI, 30.8%–32.8%) of people whose disability was identified only by the 5-question set (Table 2). However, the pattern of health behaviors was less consistent. For example, the highest prevalence of smoking was seen among people identified with a disability by both measures (28.5% vs 18.0% for the 2-question only set and 25.1% for the 5-question only set) and the highest prevalence of binge drinking was seen among people whose disability was identified only by the 5-question set (16.9% vs 10.2% for both sets and 14.8% for the 2-question only set) (Table 2).
Adults with disability identified only by the 2-question set or only by the 5-question set also differ by many demographic and health characteristics. Compared with adults whose disability was identified only by the 2-question set, the group whose disability was identified only by the 5-question set had a higher proportion of adults aged 18 to 24 (15.7% vs 7.5%), female adults (58.2% vs 47.2%), and Hispanic adults (25.3% vs 9.1%). They also had a higher prevalence of depression (30.1% vs 22.7%), current smoking (25.1% vs 18.0%), and having 14 or more poor mental health days (21.4% vs 11.1%). Adults whose disability was identified only by the 5-question set had a lower prevalence of arthritis (31.8% vs 44.3%), receipt of a flu vaccine in the past year (37.1% vs 46.0%), and engaging in sufficient aerobic physical activity (42.9% vs 50.8%) compared with adults identified only by the 2-question set (Table 2).
When comparing the 5 mutually exclusive disability types, adults with only ambulatory disability had the highest proportion of adults aged 65 or older (45.3%) and the highest prevalence of chronic conditions such as arthritis (63.6%) and hypertension (61.5%). Adults with only cognitive disability had the highest proportion of adults aged 18 to 24 years (23.3%) and the highest prevalence of depression (50.0%), current smoking (31.1%), binge drinking (21.7%), and 14 or more poor mental health days (35.2%). More than one-quarter (26.7%) of adults with only vision disability were Hispanic, which was higher than the proportion of Hispanics among other disability types. Adults with only self-care disability had the highest proportion of male adults (56.1%) compared with other disability types. Adults with 2 or more disability types had the highest prevalence of depression and fair or poor self-rated health (Table 3).
Overall disability prevalence estimates using the 2 disability measures were similar. However, there was an approximate 50% overlap in adults identifying as having a disability using both measures. Although adults who reported disability with each of the question sets (2-question measure and 5-question measure) had many similar characteristics, several differences in demographic and health characteristics were seen in adults who identified as having a disability by one of the question sets and not the other.
Previous reports and studies have compared disability prevalence estimates; however, most involved comparisons of different sample populations (13–15), survey years (14–16), modes of data collection (14,16), or used small sample sizes (19,20). Our study provides a unique contribution to the literature as the only difference was in the measure of disability — the sample population, survey year, and mode of survey administration were the same. Thus, any differences we found probably resulted from the questions used to assess disability. As in our study, previous studies found that using different operational measures of disability resulted in different disability prevalence estimates. Although in some cases the differences in the estimates were small, particularly when the question sets attempted to measure the same concepts, the populations identified through the different question sets were not the same groups of individuals (15,21).
We found that a high proportion of those who identified as having a disability using the 2-question set were older adults and more than half reported arthritis. Similarly, nearly half of adults with an ambulatory disability were older adults (≥65 years) and nearly 2 of 3 reported having arthritis. The similarity in characteristics reported by those with 2-question disability and those with an ambulatory disability is not surprising in light of a recent study that identified the most common conditions reported by respondents with 2-question disability as musculoskeletal conditions such as arthritis and back problems and the most common limitation as difficulty walking (22). This study also found that these same respondents did not commonly report cognitive and vision limitations as a cause of their disability (22).
We found that the 5-question disability measure captured a higher proportion of younger adults, Hispanics, and those reporting poor mental health (depression and ≥14 poor mental health days). Some of these differences can likely be attributed to characteristics of respondents who identified as having a cognitive disability. This group had the highest proportion of younger adults; nearly one-quarter of those with a cognitive disability were aged 18 to 24. In comparison, only 2.0% of those with an ambulatory disability and 12.9% of those with a vision disability were aged 18 to 24. Prior cognitive testing of this question revealed that although it captured a range of conditions, mental illness was often cited as a reason for reporting difficulty in this domain (23). Therefore, it is not unexpected that in our study those with cognitive disability reported the highest prevalence of depression and 14 or more poor mental health days compared with the other disability types. These respondents also reported the highest prevalence of current smoking and binge drinking, which is consistent with findings of studies showing a higher prevalence of cigarette smoking and binge drinking among those with mental illness compared with those without (22,24).
Somewhat unexpectedly, we found a higher proportion of Hispanic adults among those with vision disability than the other disability types. On further exploration and review of both English and Spanish versions of the foundational questionnaire, we discovered a difference in the question about vision disability. The English version of the question asked about “serious” difficulty seeing (“Are you blind or do you have serious difficulty seeing, even when wearing glasses?”), whereas the Spanish version translated to “some” difficulty seeing (“¿Es ciego o tiene alguna dificultad para ver, aun cuando usa lentes?”) (Spanish translation has been corrected from 2015 onward.). States are able to make changes to the foundational Spanish questionnaire to reflect the prevalent dialect of their population; however, this discrepancy between the English and Spanish translations of the vision disability question may account for much of the higher prevalence of Hispanic ethnicity we found among those with a vision disability. In a sensitivity analysis where we excluded respondents who completed the Spanish questionnaire, we found some expected differences (eg, a lower proportion of Hispanic respondents among all disability categories) when we compared these analyses to analyses completed using the full data set. We also found some differences in estimates of health behaviors and health status for some of the specific disability types. However, most of these differences were small (ie, less than 2 percentage points different from the original estimate) and nonsignificant on the basis of overlapping 95% confidence intervals. States, in particular those with large Spanish-speaking populations, should interpret results for this question with caution.
This study has 4 primary limitations. First, the data were self-reported and are subject to recall and social desirability bias. Nonetheless, self-reported data from surveillance systems are routinely used to assess disability at the national and state level. Second, we do not have information on the permanence, duration, or underlying medical condition of the disability and cannot assess to what extent, if any, this information might explain some of the prevalence differences noted in this study. Third, BRFSS does not include adults living in institutional settings or group homes or allow for proxy respondents, which might systematically exclude people with disabilities. This may result in an underestimation of disability prevalence. Fourth, 2013 BRFSS does not include the sixth question in the HHS-recommended disability set, “Are you deaf or do you have serious difficulty hearing?” largely because the survey is administered by the telephone. Inclusion of this question likely would increase the prevalence of disability if added to the 5-question measure, as prevalence estimates of hearing disability obtained from other surveys using all 6 questions range from 1.9% to 3.9%, depending on the data set and study population (15,25–27). This will be examined further once 2016 BRFSS data are made available.
Using public health surveillance data to identify individuals living with disability is a critical step in understanding and addressing the health needs and reducing the health disparities experienced by this population. Because disability is a complex, multidimensional concept that may not be fully captured in a few questions on a survey, researchers and public health practitioners need to be explicit in stating how disability is operationalized in their work. States using BRFSS data to identify adults with disabilities may wish to conduct similar analyses to understand the implications of reporting on the basis of one disability measure versus another. The finding of similar prevalence of health characteristics by different disability measures suggests a consistency in patterns of key health disparities experienced by adults with disabilities and points to the importance of intervention through public health policy and practice to address these disparities. Although the overall disability estimates from the 2 measures in our study are similar, the 5-question set allows for identification of health needs and behaviors associated with certain disability types (eg, ambulatory, cognitive, vision). This level of detail can help develop targeted interventions and programs and guide the adaptation of existing health promotion programs to be more inclusive of adults who experience specific types of disabilities.
We thank Brian Armour, Vincent Campbell, and Lisa Sinclair for providing historical knowledge and resources regarding disability measures. We also thank the state health department BRFSS coordinators for their participation in data collection. This research received no specific grant from any funding agency in the public, commercial, or nonprofit sectors. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of Centers for Disease Control and Prevention.
Corresponding Author: Alissa C. Stevens, MPH, Division of Human Development and Disability, Centers for Disease Control and Prevention, 4770 Buford Hwy, MS E-88, Atlanta, GA 30341-3717. Telephone: 404-498-2606. Email: email@example.com.
Author Affiliations: Elizabeth A. Courtney-Long, Catherine A. Okoro, Centers for Disease Control and Prevention, Atlanta, Georgia; Dianna D. Carroll, Centers for Disease Control and Prevention and Commissioned Corps, US Public Health Service, Atlanta, Georgia.
- Courtney-Long EA, Carroll DD, Zhang QC, Stevens AC, Griffin-Blake S, Armour BS, et al. ; Centers for Disease Control and Prevention. Prevalence of Disability and Disability Type Among Adults — United States, 2013. MMWR Morb Mortal Wkly Rep 2015;64(29):777–83. CrossRefexternal icon PubMedexternal icon
- Altman B, Bernstein A. Disability and health in the United States, 2001–2005. Hyattsville (MD): National Center for Health Statistics; 2008.
- Brault MW. Americans with disabilities: 2010. Current Population Reports, P70-131. Washington (DC): US Census Bureau; 2012.
- Pharr JR, Bungum T. Health disparities experienced by people with disabilities in the United States: a Behavioral Risk Factor Surveillance System study. Glob J Health Sci 2012;4(6):99–108. CrossRefexternal icon PubMedexternal icon
- US Department of Health and Human Services. The Surgeon General’s call to action to improve the health and wellness of persons with disabilities. Rockville (MD): US Department of Health and Human Services, Office of the Surgeon General; 2005. http://www.ncbi.nlm.nih.gov/books/NBK44667/. Accessed May 16, 2016.
- Institute of Medicine. The future of disability in America. Washington (DC): The National Academies Press; 2007. http://www.nationalacademies.org/hmd/reports/2007/the-future-of-disability-in-america.aspx. Accessed May 16, 2016.
- Gulley SP, Rasch EK, Chan L. The complex web of health: relationships among chronic conditions, disability, and health services. Public Health Rep 2011;126(4):495–507. PubMedexternal icon
- Reichard A, Gulley SP, Rasch EK, Chan L. Diagnosis isn’t enough: understanding the connections between high health care utilization, chronic conditions and disabilities among U.S. working age adults. Disabil Health J 2015;8(4):535–46. CrossRefexternal icon PubMedexternal icon
- Anderson WL, Wiener JM, Finkelstein EA, Armour BS. Estimates of national health care expenditures associated with disability. J Disabil Policy Stud 2011;21(4):230–40. CrossRefexternal icon PubMedexternal icon
- American Community Survey. Questions on the form and why we ask: disability. Washington (DC): US Census Bureau. http://www2.census.gov/programs-surveys/acs/about/qbyqfact/Disability.pdf. Accessed November 17, 2014.
- Okoro CA, Balluz LS, Campbell VA, Holt JB, Mokdad AH. State and metropolitan-area estimates of disability in the United States, 2001. Am J Public Health 2005;95(11):1964–9. CrossRefexternal icon PubMedexternal icon
- US Department of Health and Human Services. Implementation guidance on data collection standards for race, ethnicity, sex, primary language, and disability status. Rockville (MD): US Department of Health and Human Services; 2011. http://aspe.hhs.gov/datacncl/standards/ACA/4302/index.shtml. Accessed January 9, 2015.
- Stern SM. Counting people with disabilities: how survey methodology influences estimates in Census 2000 and the Census 2000 Supplementary Survey. Washington (DC): US Census Bureau; 2003.
- Kinne S, Topolski TD. Inclusion of people with disabilities in telephone health surveillance surveys. Am J Public Health 2005;95(3):512–7. CrossRefexternal icon PubMedexternal icon
- Brault MW. Review of changes to the measurement of disability in the 2008 American Community Survey. Washington (DC): US Census Bureau; 2009.
- Stern SM, Brault MW. Disability data from the American Community Survey: a brief examination of the effects of a question redesign in 2003. Washington (DC): US Census Bureau; 2005.
- Centers for Disease Control and Prevention. 2013 Behavioral Risk Factor Surveillance System [survey data and codebook]. http://www.cdc.gov/brfss/annual_data/annual_2013.html. Accessed October 6, 2014.
- Centers for Disease Control and Prevention. 2013 BRFSS Summary data quality report. http://www.cdc.gov/brfss/annual_data/2013/pdf/2013_dqr.pdf. Accessed April 30, 2015.
- Hall JP, Kurth NK, Fall EC. Discrepancy among Behavioral Risk Factor Surveillance System, Social Security, and functional disability measurement. Disabil Health J 2012;5(1):60–3. CrossRefexternal icon PubMedexternal icon
- Andresen EM, Fitch CA, McLendon PM, Meyers AR. Reliability and validity of disability questions for US Census 2000. Am J Public Health 2000;90(8):1297–9. CrossRefexternal icon PubMedexternal icon
- Altman BM, Gulley SP. Convergence and divergence: differences in disability prevalence estimates in the United States and Canada based on four health survey instruments. Soc Sci Med 2009;69(4):543–52. CrossRefexternal icon PubMedexternal icon
- Mann J, Balte P, Clarkson J, Nitcheva D, Graham CL, McDermott S. What are the specific disability and limitation types underlying responses to the BRFSS disability questions? Disabil Health J 2015;8(1):17–28. CrossRefexternal icon PubMedexternal icon
- Miller K, DeMaio T. Report of cognitive research on proposed American Community Survey disability questions. National Center for Health Statistics and US Census Bureau; 2006.
- Centers for Disease Control and Prevention (CDC). Vital signs: current cigarette smoking among adults aged ≥18 years with mental illness — United States, 2009–2011. MMWR Morb Mortal Wkly Rep 2013;62(5):81–7. PubMedexternal icon
- Brault MW, Stern SM. 2006 American Community Survey content test report: evaluation report covering disability. http://www.census.gov/library/working-papers/2007/acs/2007_Brault_01.html. Washington (DC): US Census Bureau; 2007.
- Courtney-Long E, Stevens A, Caraballo R, Ramon I, Armour BS. Disparities in current cigarette smoking prevalence by type of disability, 2009-2011. Public Health Rep 2014;129(3):252–60. PubMedexternal icon
- Brault MW. Disability among the working age population: 2008 and 2009. Washington (DC): US Census Bureau; 2010.
Table 1. Prevalence of Selected Demographic and Health Characteristics of the Overall Population and by Nonmutually Exclusive Disability Categorya Among Adults Aged 18 Years or Older, United States and Territories, 2013 Behavioral Risk Factor Surveillance System
|Characteristic||Overall (N = 466,746)||2-Question Disability (N = 124,550)||5-Question Disability (N = 120,565)|
|n||Weighted % (95% CI)||n||Weighted % (95% CI)||n||Weighted% (95% CI)|
|Age group, y|
|18–24||26,028||13.1 (12.9–13.4)||2,447||5.7 (5.3–6.0)||3,548||8.5 (8.1–8.9)|
|25–44||105,455||33.7 (33.4–34.0)||15,117||21.5 (21.0–22.0)||15,618||23.4 (22.8–23.9)|
|45–64||182,328||34.5 (34.2–34.8)||51,905||42.9 (42.3–43.5)||47,324||39.3 (38.7–39.9)|
|=65||152,935||18.7 (18.5–18.9)||55,081||30.0 (29.5–30.4)||54,075||28.8 (28.4–29.3)|
|Male||191,399||48.6 (48.3–48.9)||48,083||46.0 (45.4–46.6)||42,139||42.6 (42.0–43.2)|
|Female||275,347||51.4 (51.1–51.7)||76,467||54.0 (53.4–54.6)||78,426||57.4 (56.8–58.0)|
|White, non-Hispanic||359,826||65.1 (64.7–65.4)||97,476||70.2 (69.6–70.8)||88,308||62.5 (61.8–63.1)|
|Black, non-Hispanic||36,515||11.5 (11.3–11.7)||10,590||12.5 (12.1–12.9)||12,235||14.4 (14.0–14.9)|
|Hispanic||34,861||16.1 (15.8–16.4)||7,047||11.4 (11.0–11.9)||10,104||16.8 (16.3–17.4)|
|Other, non-Hispanic||28,671||7.4 (7.2–7.6)||7,317||5.9 (5.5–6.3)||7,847||6.3 (5.9–6.7)|
|Arthritis||156,401||25.1 (24.8–25.3)||77,760||56.6 (56.0–57.2)||73,071||51.8 (51.2–52.4)|
|Heart disease||41,979||6.7 (6.5–6.8)||23,546||16.6 (16.2–17.0)||22,932||16.0 (15.6–16.5)|
|Diabetes||58,824||10.2 (10.1–10.4)||28,588||21.3 (20.8–21.8)||29,277||21.3 (20.8–21.8)|
|Obesity||129,395||28.4 (28.1–28.6)||47,761||40.3 (39.7–40.9)||46,722||40.2 (39.6–40.8)|
|Depression||91,090||17.8 (17.6–18.0)||46,211||39.2 (38.6–39.8)||47,275||40.9 (40.3–41.5)|
|Hypertension||188,350||32.5 (32.3–32.8)||72,313||52.7 (52.1–53.3)||71,046||51.5 (50.9–52.1)|
|=2 Chronic conditionsb||193,226||33.4 (33.1–33.7)||88,663||66.9 (66.3–67.5)||86,663||65.1 (64.5–65.7)|
|Current smokingc||74,635||18.1 (17.9–18.4)||26,072||25.3 (24.7–25.8)||27,667||27.3 (26.8–27.9)|
|Binge drinkingd||58,013||16.7 (16.4–16.9)||10,083||11.6 (11.2–12.0)||9,878||12.4 (12.0–12.9)|
|Flu vaccine||203,034||38.5 (38.2–38.7)||62,186||46.5 (45.9–47.1)||57,377||43.5 (42.8–44.1)|
|Sufficient aerobic physical activitye||220,763||49.8 (49.5–50.1)||44,924||38.5 (37.9–39.1)||39,658||36.4 (35.8–37.0)|
|Fair or poor self-rated health||88,122||17.8 (17.6–18.0)||58,017||47.1 (46.5–47.6)||59,295||48.0 (47.4–48.6)|
|=14 Poor physical health days||61,706||12.0 (11.8–12.2)||45,688||38.5 (37.9–39.1)||44,143||36.4 (35.8–37.0)|
|=14 Poor mental health days||47,363||11.3 (11.1–11.5)||27,229||26.6 (26.0–27.1)||29,420||29.4 (28.8–30.0)|
|2-question disabilitya||124,550||21.6 (21.4–21.8)||—||—||—||—|
|Activity limitation||112,049||19.7 (19.5–19.9)||—||—||—||—|
|Use of special equipment||52,988||8.2 (8.0–8.3)||—||—||—||—|
|5-question disabilitya||120,565||22.7 (22.4–22.9)||—||—||—||—|
|Ambulatory disability||82,978||13.8 (13.6–14.0)||—||—||—||—|
|Cognitive disability||48,695||10.6 (10.4–10.8)||—||—||—||—|
|Vision disability||24,766||5.0 (4.8–5.1)||—||—||—||—|
|Self-care disability||20,665||3.8 (3.7–3.9)||—||—||—||—|
|Independent living disability||36,971||6.7 (6.6–6.9)||—||—||—||—|
Table 2. Prevalence of Selected Demographic and Health Characteristics, by Mutually Exclusive Disability Category Among Adults Aged 18 Years or Older, United States and Territories, 2013 Behavioral Risk Factor Surveillance System
|Characteristic||Both 2-Question and 5-Question Disability (N = 86,779)||2-Question Disability Only (N = 37,771)||5-Question Disability Only (N = 33,786)|
|n||Weighted % (95% CI)||n||Weighted % (95% CI)||n||Weighted % (95% CI)|
|Age group, y|
|18–24||1,330||4.8 (4.4–5.3)||1,117||7.5 (6.9–8.2)||2,218||15.7 (14.7–16.6)|
|25–44||9,581||20.3 (19.6–20.9)||5,536||24.3 (23.3–25.3)||6,037||29.4 (28.4–30.5)|
|45–64||36,501||44.1 (43.4–44.8)||15,404||40.2 (39.2–41.2)||10,823||29.9 (28.9–31.0)|
|=65||39,367||30.8 (30.2–31.4)||15,714||28.0 (27.1–28.9)||14,708||25.0 (24.2–25.8)|
|Male||30,490||43.0 (42.3–43.7)||17,593||52.8 (51.7–53.8)||11,649||41.8 (40.7–42.9)|
|Female||56,289||57.0 (56.3–57.7)||20,178||47.2 (46.2–48.3)||22,137||58.2 (57.1–59.4)|
|White, non-Hispanic||65,734||67.5 (66.7–68.2)||31,742||76.4 (75.2–77.5)||22,574||52.7 (51.5–53.9)|
|Black, non-Hispanic||8,499||14.2 (13.7–14.8)||2,091||8.6 (7.9–9.2)||3,736||14.8 (14.0–15.7)|
|Hispanic||5,563||12.5 (11.9–13.1)||1,484||9.1 (8.3–10.0)||4,541||25.3 (24.2–26.5)|
|Other, non-Hispanic||5,466||5.8 (5.4–6.3)||1,851||6.0 (5.3–6.9)||2,381||7.2 (6.5–8.0)|
|Arthritis||58,607||62.1 (61.3–62.8)||19,153||44.3 (43.3–45.3)||14,464||31.8 (30.8–32.8)|
|Heart disease||18,829||19.5 (19.0–20.1)||4,717||10.0 (9.5–10.6)||4,103||9.3 (8.8–9.9)|
|Diabetes||23,161||24.7 (24.1–25.3)||5,427||13.7 (12.9–14.6)||6,116||14.8 (14.0–15.6)|
|Obesity||35,748||43.2 (42.5–44.0)||12,013||33.7 (32.7–34.7)||10,974||34.3 (33.2–35.4)|
|Depression||37,466||46.5 (45.8–47.2)||8,745||22.7 (21.8–23.5)||9,809||30.1 (29.1–31.1)|
|Hypertension||54,056||57.0 (56.3–57.7)||18,257||43.0 (41.9–44.0)||16,990||40.8 (39.7–41.9)|
|=2 Chronic conditionsa||67,534||74.3 (73.6–74.9)||21,129||50.2 (49.1–51.3)||19,129||47.3 (46.2–48.4)|
|Current smokingb||20,508||28.5 (27.8–29.1)||5,564||18.0 (17.2–18.9)||7,159||25.1 (24.2–26.1)|
|Binge drinkingc||5,962||10.2 (9.7–10.6)||4,121||14.8 (14.0–15.6)||3,916||16.9 (16.0–17.8)|
|Flu vaccine||43,094||46.7 (45.9–47.4)||19,092||46.0 (45.0–47.1)||14,283||37.1 (36.0–38.3)|
|Sufficient aerobic physical activityd||26,267||33.1 (32.4–33.8)||18,657||50.8 (49.7–51.9)||13,391||42.9 (41.8–44.1)|
|Fair or poor self-rated health||49,609||57.6 (56.9–58.3)||8,408||23.2 (22.3–24.1)||9,686||29.3 (28.3–30.3)|
|=14 Poor physical health days||39,362||47.8 (47.0–48.5)||6,326||17.7 (16.9–18.5)||4,781||14.4 (13.6–15.2)|
|=14 Poor mental health days||23,697||33.5 (32.8–34.2)||3,532||11.1 (10.4–11.8)||5,723||21.4 (20.4–22.4)|
Table 3. Prevalence of Selected Demographic and Health Characteristics, by Mutually Exclusive 5-Question Disability Types Among Adults Aged 18 Years or Older, United States and Territories, 2013 Behavioral Risk Factor Surveillance System
|Characteristic||Ambulatory Disability Only (n = 36,350)||Cognitive Disability Only (n = 17,711)||Vision Disability Only (n= 7,535)||Self-Care Disability Only (n = 1,073)||Independent Living Disability Only (n = 3,164)||=2 Disability Types (n = 54,732)|
|Weighted % (95% Confidence Interval)|
|Age group, y|
|18–24||2.0 (1.6–2.4)||23.3 (21.9–24.8)||12.9 (11.0–15.0)||7.5 (4.2–13.0)||12.3 (9.9–15.2)||4.8 (4.3–5.3)|
|25–44||13.3 (12.4–14.2)||38.1 (36.6–39.5)||27.5 (25.3–29.9)||24.4 (18.2–31.7)||35.4 (31.7–39.3)||21.2 (20.4–22.0)|
|45–64||39.5 (38.4–40.6)||25.4 (24.2–26.6)||37.1 (34.7–39.4)||45.2 (37.9–52.7)||27.1 (23.7–30.8)||46.4 (45.5–47.3)|
|=65||45.3 (44.2–46.4)||13.3 (12.6–14.1)||22.6 (20.9–24.4)||22.9 (18.5–28.0)||25.2 (22.6–28.0)||27.7 (27.0–28.4)|
|Male||41.6 (40.5–42.7)||46.4 (44.9–47.9)||48.7 (46.2–51.1)||56.1 (48.9–63.1)||37.1 (33.3–41.0)||40.5 (39.6–41.4)|
|Female||58.4 (57.3–59.5)||53.6 (52.1–55.1)||51.3 (48.9–53.8)||43.9 (36.9–51.1)||62.9 (59.0–66.7)||59.5 (58.7–60.4)|
|White, non-Hispanic||68.8 (67.6–70.0)||62.2 (60.6–63.8)||49.5 (47.0–52.0)||59.4 (51.2–67.1)||58.8 (54.7–62.8)||61.5 (60.5–62.4)|
|Black, non-Hispanic||13.8 (13.0–14.7)||11.3 (10.2–12.4)||14.7 (12.9–16.7)||15.0 (8.9–24.1)||11.6 (9.2–14.4)||16.3 (15.6–17.1)|
|Hispanic||12.5 (11.5–13.6)||19.0 (17.6–20.5)||26.7 (24.4–29.1)||19.2 (13.2–27.1)||22.7 (18.9–27.1)||16.2 (15.4–17.0)|
|Other, non-Hispanic||4.9 (4.4–5.5)||7.5 (6.6–8.5)||9.1 (7.3–11.3)||6.5 (3.9–10.5)||6.9 (5.1–9.2)||6.0 (5.5–6.6)|
|Arthritis||63.6 (62.4–64.7)||26.2 (25.0–27.5)||24.9 (23.0–26.9)||49.1 (41.7–56.5)||32.5 (29.1–36.1)||62.3 (61.4–63.2)|
|Heart disease||18.5 (17.7–19.3)||6.7 (6.1–7.4)||9.0 (7.8–10.3)||6.7 (4.6–9.6)||11.5 (9.5–13.9)||20.6 (19.9–21.3)|
|Diabetes||25.3 (24.3–26.3)||9.3 (8.5–10.2)||12.7 (11.3–14.2)||17.1 (11.2–25.2)||12.1 (10.1–14.5)||26.5 (25.8–27.3)|
|Obesity||48.6 (47.4–49.7)||28.5 (27.2–29.8)||29.5 (27.3–31.8)||34.9 (27.2–43.3)||26.7 (23.2–30.5)||43.5 (42.6–44.4)|
|Depression||21.9 (21.1–22.8)||50.0 (48.5–51.5)||17.7 (15.9–19.7)||24.1 (18.8–30.4)||34.3 (30.9–37.8)||52.8 (51.9–53.6)|
|Hypertension||61.5 (60.4–62.6)||30.9 (29.6–32.2)||38.7 (36.4–41.1)||45.4 (38.4–52.7)||39.2 (35.8–42.8)||58.0 (57.1–58.9)|
|=2 Chronic conditionsa||73.1 (72.0–74.0)||43.6 (42.2–45.1)||38.1 (35.9–40.4)||55.3 (48.0–62.3)||45.5 (41.8–49.3)||76.3 (75.5–77.1)|
|Current smokingb||19.3 (18.5–20.2)||31.1 (29.7–32.5)||23.3 (21.3–25.5)||18.6 (14.5–23.5)||25.7 (22.6–29.0)||31.3 (30.5–32.1)|
|Binge drinkingc||8.9 (8.2–9.6)||21.7 (20.4–23.0)||15.4 (13.6–17.3)||14.3 (8.5–23.0)||13.4 (11.0–16.3)||9.8 (9.2–10.4)|
|Flu vaccine||51.9 (50.7–53.0)||34.3 (32.9–35.8)||33.3 (31.1–35.7)||40.2 (33.1–47.8)||39.7 (36.1–43.5)||44.6 (43.7–45.5)|
|Sufficient aerobic physical activityd||36.7 (35.6–37.8)||47.7 (46.1–49.3)||46.6 (44.0–49.2)||47.3 (39.7–55.1)||40.4 (36.6–44.3)||28.9 (28.1–29.8)|
|Fair or poor self-rated health||42.5 (41.4–43.5)||27.7 (26.4–29.1)||23.8 (21.8–25.9)||31.9 (26.0–38.3)||36.1 (32.5–39.9)||65.5 (64.6–66.4)|
|=14 Poor physical health days||30.2 (29.2–31.2)||15.6 (14.6–16.7)||11.2 (9.9–12.6)||31.2 (24.8–38.5)||27.7 (24.6–31.2)||54.4 (53.5–55.3)|
|=14 Poor mental health days||12.5 (11.7–13.3)||35.2 (33.7–36.7)||13.2 (11.4–15.3)||22.0 (14.6–31.7)||23.7 (20.3–27.4)||40.2 (39.3–41.1)|
The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors’ affiliated institutions.