Machell Town

Surveillance for Certain Health Behaviors, Chronic Diseases, and Conditions, Access to Health Care, and Use of Preventive Health Services Among States and Selected Local Areas - Behavioral Risk Factor Surveillance System, United States, 2012.

PROBLEM Chronic diseases (e.g., heart diseases, cancer, chronic lower respiratory disease, stroke, diabetes, and arthritis) and unintentional injuries are the leading causes of morbidity and mortality in the United States. Behavioral risk factors (e.g., tobacco use, poor diet, physical inactivity, excessive alcohol consumption, failure to use seat belts, and insufficient sleep) are linked to the leading causes of death. Modifying these behavioral risk factors and using preventive health services (e.g., cancer screenings and influenza and pneumococcal vaccination of adults aged ≥65 years) can substantially reduce morbidity and mortality in the U.S. POPULATION Continuous monitoring of these health-risk behaviors, chronic conditions, and use of preventive services are essential to the development of health promotion strategies, intervention programs, and health policies at the state, city, and county level. REPORTING PERIOD January-December 2012. DESCRIPTION OF THE SYSTEM The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed landline- and cellular-telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services related to the leading causes of death and disability. This report presents results for all 50 states, the District of Columbia, participating U.S. territories that include the Commonwealth of Puerto Rico (Puerto Rico) and Guam, 187 Metropolitan/Micropolitan Statistical Areas (MMSAs), and 210 counties (n = 475,687 survey respondents) for the year 2012. RESULTS In 2012, the estimated prevalence of health-risk behaviors, chronic diseases or conditions, access to health care, and use of preventive health services substantially varied by state and territory, MMSA, and county. The following portion of the abstract lists a summary of results by selected BRFSS measures. Each set of proportions refers to the range of estimated prevalence for health-risk behaviors, chronic diseases or conditions, and use of preventive health care services among geographical units, as reported by survey respondents. Adults with good or better health: 64.0%-88.3% for states and territories, 62.7%-90.5% for MMSAs, and 68.1%-92.4% for counties. Adults aged 18-64 years with health care coverage: 64.2%-93.1% for states and territories, 35.4%- 93.7% for MMSAs, and 35.4%-96.7% for counties. Adults who received a routine physical checkup during the preceding 12 months: 55.7%-80.1% for states and territories, 50.6%-85.0% for MMSAs, and 52.4%-85.0% for counties. An influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.3%-70.1% for states and territories, 20.8%-77.8% for MMSAs, and 24.1%-77.6% for counties. Ever received pneumococcal vaccination among adults aged ≥65 years: 22.2%-76.2% for states and territories, 15.3%-83.4% for MMSAs, and 25.8%-85.2% for counties. Adults who had a dental visit in the past year: 53.7%-76.2% for states and territories, and 44.8%-81.7% for MMSAs and counties. Adults aged ≥65 years who have lost all of their natural teeth from tooth decay or gum disease: 7.0%-33.7% for states and territories, 5.8%-39.6% for MMSAs, and 5.8%-37.1% for counties. Adults aged 50-75 years who received a colorectal cancer screening on the basis of the U.S. Preventive Services Task Force recommendation: 40.0%-76.4% for states and territories, 47.1%-80.7% for MMSAs, and 47.0%-81.0% for counties. Women aged 21-65 years who had a Papanicolaou test during the preceding 3 years: 68.5% to 89.6% for states and territories, 70.3% to 92.8% for MMSAs, and 65.7%-94.6% for counties. Women aged 50-74 years who had a mammogram during the preceding 2 years: 66.5%- 89.7% for states and territories, 61.1%-91.5% for MMSAs, and 61.8%-91.6% for counties. Current cigarette smoking among adults: 10.6%-28.3% for states and territories, 5.1%-30.1% for MMSAs, and 5.1%-28.3% for counties. Binge drinking among adults during the preceding month: 10.2%-25.2% for states and territories, 6.2%-28.1% for MMSAs, and 6.2%-29.5% for counties. Heavy drinking among adults during the preceding month: 3.5%-8.5% for states and territories, 2.0%-11.0% for MMSAs, and 1.9%-11.0% for counties. Adults who reported no leisure-time physical activity: 16.3%-42.4% for states and territories, 9.2%-47.3% for MMSAs, and 9.2%-39.0% for counties. Self- reported seat belt use: 62.0%-93.7% for states and territories, 54.1%-97.1% for MMSAs, and 50.1%-97.4% for counties. Adults who were obese: 20.5%-34.7% for states and territories, 14.8%-44.5% for MMSAs and counties. Adults with diagnosed diabetes: 7.0%-16.4% for states and territories, 3.4%-17.4% for MMSAs, and 3.1%-17.4% for counties. Adults who ever had any type of cancer: 3.0%-13.7% for states and territories, 3.8%-19.2% for MMSAs, and 4.5%-19.2% for counties. Adults with current asthma: 5.8%-11.1% for states and territories, 3.1%-15.0% for MMSAs, and 3.1%-15.7% for counties. Adults with some form of arthritis: 15.6%-36.4% for states and territories, 16.8%-45.8% for MMSAs, and 14.8%-35.9% for counties. Adults having had a depressive disorder: 9.0%-23.5% for states and territories, 9.2%-28.3% for MMSAs, and 8.5%-28.4% for counties. Adults aged ≥45 years who have had coronary heart disease: 7.4%-19.0% for states and territories, 6.1%-23.3% for MMSAs, and 6.1%-20.6% for counties. Adults aged ≥45 years who have had a stroke: 3.1%-7.3% for states and territories, 2.1%-9.3% for MMSAs, and 1.5%-9.3% for counties. Adults with limited activities because of physical, mental, or emotional problems: 15.0%-28.6% for states and territories, 12.0%-31.7% for MMSAs, and 11.3%-31.7% for counties. Adults using special equipment because of any health problem: 4.8%-11.6% for states and territories, 4.0%-14.7% for MMSAs, and 2.8%-13.6% for counties. INTERPRETATION This report underscores the need for continuous surveillance of health-risk behaviors, chronic diseases or conditions, health care access, and use of preventive care services at state and local levels. It will help to identify high-risk populations and to evaluate public health intervention programs and policies designed to reduce morbidity and mortality from chronic disease and injury. PUBLIC HEALTH ACTION State and local health departments and agencies can continue to use BRFSS data to identify populations at high risk for unhealthy behaviors and chronic diseases or conditions, lack of health care access, and inadequate use of preventive care services. Additionally, states can use the data to design, implement, monitor, and evaluate public health programs and policies at state and local levels.

State-based estimates of mammography screening rates based on information from two health surveys

Objectives. We compared national and state-based estimates for the prevalence of mammography screening from the National Health Interview Survey (NHIS), the Behavioral Risk Factor Surveillance System (BRFSS), and a model-based approach that combines information from the two surveys. Methods. At the state and national levels, we compared the three estimates of prevalence for two time periods (1997–1999 and 2000–2003) and the estimated difference between the periods. We included state-level covariates in the model-based approach through principal components. Results. The national mammography screening prevalence estimate based on the BRFSS was substantially larger than the NHIS estimate for both time periods. This difference may have been due to nonresponse and noncoverage biases, response mode (telephone vs. in-person) differences, or other factors. However, the estimated change between the two periods was similar for the two surveys. Consistent with the model assumptions, the model-based estimates were more similar to the NHIS estimates than to the BRFSS prevalence estimates. The state-level covariates (through the principal components) were shown to be related to the mammography prevalence with the expected positive relationship for socioeconomic status and urbanicity. In addition, several principal components were significantly related to the difference between NHIS and BRFSS telephone prevalence estimates. Conclusions. Model-based estimates, based on information from the two surveys, are useful tools in representing combined information about mammography prevalence estimates from the two surveys. The model-based approach adjusts for the possible nonresponse and noncoverage biases of the telephone survey while using the large BRFSS state sample size to increase precision.

Prevalence of HIV Risk Behaviors Between Binge Drinkers and Non-Binge Drinkers Aged 18- to 64-Years in US, 2008

Using data from the 2008 Behavioral Risk Factor Surveillance System on 281,303 adults aged 18–64 years in the United States, we examined the relationship between HIV risk behaviors and binge drinking of alcoholic beverages and the frequency of binge drinking among a subgroup of 41,073 respondents who were acknowledged binge drinkers (bingers), based on reported drinking behavior in the year preceding survey. Our findings show that the weighted prevalence of HIV risk behaviors (including injection drug use, exchange of sex for money/drugs, and anal sex without a condom) among binge bingers [7.0%, 95% confidence interval (95% CI): 6.4–7.6%] is twice that among nonbingers (2.9%, 95% CI: 2.7–3.0%). The highest prevalence of HIV risk behaviors is among the bingers aged 18–20 years (14%, 95% CI: 11.2–18.2%). After adjusting for covariates, bingers are 1.77 (95% CI: 1.58–2.00) times more likely than nonbingers to report HIV risk behaviors. Risk increases in bingers with the number of episodes. Compared with bingers reporting 1–2 binge episodes in the month proceeding survey, the adjusted odds of reporting HIV risk behaviors among bingers are 1.27 (1.08–1.49), 1.68 (1.35–2.10), 1.67 (1.08–2.57), and 1.70 (1.34–2.16), respectively for bingers with 3–4, 5–6, 7–8, and ≥9 episodes in the same period. Our results suggest that HIV risk behaviors are strongly linked with binge drinking and its frequency. Effective measures to prevent binge drinking are essential to HIV prevention, especially among youth aged 18–20 years.

Ischemic Heart Disease and Ambient Air Pollution of Particulate Matter 2.5 in 51 Counties in the U.S.

Objective. Ischemic heart disease (IHD) is one of the most common health threats to the adult population of the U.S. and other countries. The objective of this study was to examine the association between exposure to elevated annual average levels of Particulate matter 2.5 (PM2.5) air quality index (AQI) and IHD in the general population. Methods. We combined data from the Behavioral Risk Factor Surveillance System and the U.S Environmental Protection Agency air quality database. We analyzed the data using SUDAAN software to adjust the effects of sampling bias, weights, and design effects. Results. The prevalence of IHD was 9.6% among respondents who were exposed to an annual average level of PM2.5 AQI >60 compared with 5.9% among respondents exposed to an annual average PM2.5 AQI ≤60. The respondents with higher levels of PM2.5 AQI exposure were more likely to have IHD (adjusted odds ratio 5 1.72, 95% confidence interval 1.11, 2.66) than respondents with lower levels of exposure after adjusting for age, gender, race/ethnicity, education, smoking, body mass index, diabetes, hypertension, and hypercholesterolemia. Conclusions. Our study suggested that exposure to relatively higher levels of average annual PM2.5 AQI may increase the likelihood of IHD. In addition to encouraging health-related behavioral changes to reduce IHD, efforts should also focus on implementing appropriate measures to reduce exposure to unhealthy AQI levels.

National weighting of data from the Behavioral Risk Factor Surveillance System (BRFSS).

BackgroundThe Behavioral Risk Factor Surveillance System (BRFSS) is a network of health-related telephone surveys--conducted by all 50 states, the District of Columbia, and participating US territories—that receive technical assistance from CDC. Data users often aggregate BRFSS state samples for national estimates without accounting for state-level sampling, a practice that could introduce bias because the weighted distributions of the state samples do not always adhere to national demographic distributions.MethodsThis article examines six methods of reweighting, which are then compared with key health indicator estimates from the National Health Interview Survey (NHIS) based on 2013 data.ResultsCompared to the usual stacking approach, all of the six new methods reduce the variance of weights and design effect at the national level, and some also reduce the estimated bias. This article also provides a comparison of the methods based on the variances induced by unequal weighting as well as the bias reduction induced by raking at the national level, and recommends a preferred method.ConclusionsThe new method leads to weighted distributions that more accurately reproduce national demographic characteristics. While the empirical results for key estimates were limited to a few health indicators, they also suggest reduction in potential bias and mean squared error. To the extent that survey outcomes are associated with these demographic characteristics, matching the national distributions will reduce bias in estimates of these outcomes at the national level.

Surveillance for Health Care Access and Health Services Use, Adults Aged 18-64 Years - Behavioral Risk Factor Surveillance System, United States, 2014.

Problem/Condition As a result of the 2010 Patient Protection and Affordable Care Act, millions of U.S. adults attained health insurance coverage. However, millions of adults remain uninsured or underinsured. Compared with adults without barriers to health care, adults who lack health insurance coverage, have coverage gaps, or skip or delay care because of limited personal finances might face increased risk for poor physical and mental health and premature mortality. Period Covered 2014. Description of System The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, landline- and cellular-telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. Data are collected from states, the District of Columbia, and participating U.S. territories on health risk behaviors, chronic health conditions, health care access, and use of clinical preventive services (CPS). An optional Health Care Access module was included in the 2014 BRFSS. This report summarizes 2014 BRFSS data from all 50 states and the District of Columbia on health care access and use of selected CPS recommended by the U.S. Preventive Services Task Force or the Advisory Committee on Immunization Practices among working-aged adults (aged 18–64 years), by state, state Medicaid expansion status, expanded geographic region, and federal poverty level (FPL). This report also provides analysis of primary type of health insurance coverage at the time of interview, continuity of health insurance coverage during the preceding 12 months, and other health care access measures (i.e., unmet health care need because of cost, unmet prescription need because of cost, medical debt [medical bills being paid off over time], number of health care visits during the preceding year, and satisfaction with received health care) from 43 states that included questions from the optional BRFSS Health Care Access module. Results In 2014, health insurance coverage and other health care access measures varied substantially by state, state Medicaid expansion status, expanded geographic region (i.e., states categorized geographically into nine regions), and FPL category. The following proportions refer to the range of estimated prevalence for health insurance and other health care access measures by examined geographical unit (unless otherwise specified), as reported by respondents. Among adults with health insurance coverage, the range was 70.8%–94.5% for states, 78.8%–94.5% for Medicaid expansion states, 70.8%–89.1% for nonexpansion states, 73.3%–91.0% for expanded geographic regions, and 64.2%–95.8% for FPL categories. Among adults who had a usual source of health care, the range was 57.2%–86.6% for states, 57.2%–86.6% for Medicaid expansion states, 61.8%–83.9% for nonexpansion states, 64.4%–83.6% for expanded geographic regions, and 61.0%–81.6% for FPL categories. Among adults who received a routine checkup, the range was 52.1%–75.5% for states, 56.0%–75.5% for Medicaid expansion states, 52.1%–71.1% for nonexpansion states, 56.8%–70.2% for expanded geographic regions, and 59.9%–69.2% for FPL categories. Among adults who had unmet health care need because of cost, the range was 8.0%–23.1% for states, 8.0%–21.9% for Medicaid expansion states, 11.9%–23.1% for nonexpansion states, 11.6%–20.3% for expanded geographic regions, and 5.3%–32.9% for FPL categories. Estimated prevalence of cancer screenings, influenza vaccination, and having ever been tested for human immunodeficiency virus also varied by state, state Medicaid expansion status, expanded geographic region, and FPL category. The prevalence of insurance coverage varied by approximately 25 percentage points among racial/ethnic groups (range: 63.9% among Hispanics to 88.4% among non-Hispanic Asians) and by approximately 32 percentage points by FPL category (range: 64.2% among adults with household income <100% of FPL to 95.8% among adults with household income >400% of FPL). The prevalence of unmet health care need because of cost varied by nearly 14 percentage points among racial/ethnic groups (range: 11.3% among non-Hispanic Asians to 25.0% among Hispanics), by approximately 17 percentage points among adults with and without disabilities (30.8% versus 13.7%), and by approximately 28 percentage points by FPL category (range: 5.3% among adults with household income >400% of FPL to 32.9% among adults with household income <100% of FPL). Among the 43 states that included questions from the optional module, a majority of adults reported private health insurance coverage (63.4%), followed by public health plan coverage (19.4%) and no primary source of insurance (17.1%). Financial barriers to health care (unmet health care need because of cost, unmet prescribed medication need because of cost, and medical bills being paid off over time [medical debt]) were typically lower among adults in Medicaid expansion states than those in nonexpansion states regardless of source of insurance. Approximately 75.6% of adults reported being continuously insured during the preceding 12 months, 12.9% reported a gap in coverage, and 11.5% reported being uninsured during the preceding 12 months. The largest proportion of adults reported ≥3 visits to a health care professional during the preceding 12 months (47.3%), followed by 1–2 visits (37.1%), and no health care visits (15.6%). Adults in expansion and nonexpansion states reported similar levels of satisfaction with received health care by primary source of health insurance coverage and by continuity of health insurance coverage during the preceding 12 months. Interpretation This report presents for the first time estimates of population-based health care access and use of CPS among adults aged 18–64 years. The findings in this report indicate substantial variations in health insurance coverage; other health care access measures; and use of CPS by state, state Medicaid expansion status, expanded geographic region, and FPL category. In 2014, health insurance coverage, having a usual source of care, having a routine checkup, and not experiencing unmet health care need because of cost were higher among adults living below the poverty level (i.e., household income <100% of FPL) in states that expanded Medicaid than in states that did not. Similarly, estimates of breast and cervical cancer screening and influenza vaccination were higher among adults living below the poverty level in states that expanded Medicaid than in states that did not. These disparities might be due to larger differences to begin with, decreased disparities in Medicaid expansion states versus nonexpansion states, or increased disparities in nonexpansion states. Public Health Action BRFSS data from 2014 can be used as a baseline by which to assess and monitor changes that might occur after 2014 resulting from programs and policies designed to increase access to health care, reduce health disparities, and improve the health of the adult population. Post-2014 changes in health care access, such as source of health insurance coverage, attainment and continuity of coverage, financial barriers, preventive care services, and health outcomes, can be monitored using these baseline estimates.

HIV Testing Among Transgender Women and Men — 27 States and Guam, 2014–2015

Transgender persons are at high risk for human immunodeficiency virus (HIV) infection; in a recent analysis of the results of over nine million CDC funded HIV tests, transgender women* had the highest percentage of confirmed positive results (2.7%) of any gender category (1). Transgender men,† particularly those who have sex with cisgender§ men, are also at high risk for infection (2). HIV testing is critical for detecting and treating persons who are infected and delivering preventive services to those who are uninfected. CDC recommends that persons at high risk for HIV infection be screened for HIV at least annually, although transgender persons are not specified in the current recommendations. CDC analyzed data from the Behavioral Risk Factor Surveillance System (BRFSS) to describe HIV testing among transgender women and men and two cisgender comparison groups in 27 states and Guam. After adjusting for demographic characteristics, transgender women and men had a lower prevalence of ever testing and past year testing for HIV (35.6% and 31.6% ever, and 10.0% and 10.2% past year, respectively) compared with cisgender gay and bisexual men (61.8% ever and 21.6% past year) and instead reported testing at levels comparable to cisgender heterosexual men and women (35.2% ever, and 8.6% past year). This finding suggests that transgender women and men might not be sufficiently reached by current HIV testing measures. Tailoring HIV testing activities to overcome the unique barriers faced by transgender women and men might increase rates of testing among these populations.

Health Behaviors and Chronic Conditions of Movers: Out-of-state Interviews Among Cell Phone Respondents, BRFSS 2014

Since 2011, the Behavioral Risk Factor Surveillance System (BRFSS) has been conducting telephone surveys using landline and cell phones from all U.S. states. Due to the portability of cell phones, residents in one state can retain cell phone numbers with area codes from other states. Protocol dictates that BRFSS must interview such out-of-state respondents to complete the core BRFSS interview and collected data must then be transferred to the state of current residence. We used cell phone data from 2014 BRFSS to compare the demographic factors, health care access, health behaviors, history of chronic disease, and chronic conditions among out-of-state interview (movers) with those respondents whose cell phone numbers matched their current state of residence (did not move). The estimated weighted population percentage of movers was 10% nationwide and ranged from 1.5% in Hawaii to 21.0% in Nevada (median: 5.8%). Compared with respondents who did not move, movers were significantly more likely to be younger, white non-Hispanic, college graduate, never married, and more likely to have health care coverage. After adjusting for demographics, movers were 16% less likely to report no leisure time physical activity, 17% less likely to smoke, 7% less likely to be overweight or obese, 33% less likely to report diabetes, and 12% less likely to report having arthritis than respondents who did not move. Persons who might be left out of cell phone samples due to moving in or out of state may therefore represent a potential for bias in estimation of health behaviors and chronic conditions where transfer of data across state lines is not possible.

Self-Perceived Poor/Fair Health, Frequent Mental Distress, and Health Insurance Status Among Working-Aged US Adults

We examined associations of health insurance status with self-perceived poor/fair health and frequent mental distress (FMD) among working-aged US adults from 42 states and the District of Columbia using data from the 2014 Behavioral Risk Factor Surveillance System. After multiple-variable adjustment, compared with adequately insured adults, underinsured and never insured adults were 39% and 59% more likely to report poor/fair health, respectively, and 38% more likely to report FMD. Compared with working-aged adults with employer-based insurance, adults with Medicaid/Medicare or other public insurance coverage were 28% and 13% more likely to report poor/fair health, respectively, and 15% more likely to report FMD. Increasing insurance coverage and reducing cost barriers to care may improve general and mental health.

Effect of Proxy Responses on Tobacco Use Surveys in Thailand, 2011

Proxy responses are often allowed in household tobacco surveys when all household members are included in a sample. To assess the effect of proxy responses on prevalence estimates, we compared 2 surveys in 2011 that gauged tobacco use in Thailand: the Cigarette Smoking and Alcohol Drinking Survey (SADS) and the Global Adult Tobacco Survey (GATS). Both surveys had similar nonsampling errors and design, but SADS allowed proxy responses and GATS did not. When proxy responses were included in SADS, the prevalence estimate was 10% lower in GATS for men (41.69% in GATS vs 46.55% in SADS) and 18% lower in GATS for women (2.14% in GATS vs 2.61% in SADS). Eliminating proxy responses is recommended to increase accuracy of tobacco-use surveillance.