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1.
Public Health Rep ; 138(1): 107-113, 2023.
Article in English | MEDLINE | ID: mdl-35137642

ABSTRACT

OBJECTIVES: The Ending the HIV Epidemic (EHE) initiative prioritizes treatment and prevention efforts in counties where most new HIV diagnoses occur and states with substantial incidence of new HIV diagnoses in rural areas. Understanding the characteristics of adults with HIV living in EHE priority areas, and how these characteristics compare with adults with HIV living in non-EHE priority areas, can inform EHE efforts. METHODS: We analyzed data from the 2018 Medical Monitoring Project (MMP) to understand the characteristics of adults with HIV living in 36 of 48 EHE priority counties; San Juan, Puerto Rico; and 1 of 7 EHE priority states. We calculated weighted percentages of sociodemographic characteristics, behaviors, and clinical outcomes of adults with diagnosed HIV living in MMP EHE priority areas and compared them with characteristics of adults who did not live in MMP EHE priority areas using prevalence ratios (PRs) with predicted marginal means. RESULTS: Living in an MMP EHE priority area was more common among adults who were non-Hispanic Black or Hispanic, experienced homelessness, or were food insecure compared with adults who were non-Hispanic White (59.3% and 58.4% vs 41.0%), not experiencing homelessness (60.9% vs 51.9%), or not food insecure (59.8% vs 51.0%). Adults who lived in MMP EHE priority areas were significantly less likely to be adherent to their HIV medications (PR = 0.95; 95% CI, 0.91-0.99) and durably virally suppressed (PR = 0.94; 95% CI, 0.91-0.97), and more likely to miss scheduled appointments for HIV care (PR = 1.31; 95% CI, 1.10-1.56) than adults who did not live in MMP EHE priority areas. CONCLUSION: To increase viral suppression and reduce HIV transmission, it is essential to strengthen public health efforts to improve medication and appointment adherence in this population.


Subject(s)
Epidemics , HIV Infections , Adult , Humans , United States , HIV Infections/diagnosis , HIV Infections/drug therapy , HIV Infections/epidemiology , Epidemics/prevention & control , Hispanic or Latino , Black People , Ethnicity
2.
AIDS ; 36(5): 739-744, 2022 04 01.
Article in English | MEDLINE | ID: mdl-34873083

ABSTRACT

OBJECTIVE: To evaluate whether reported prevalence of unemployment, subsistence needs, and symptoms of depression and anxiety among adults with diagnosed HIV during the COVID-19 pandemic were higher than expected. DESIGN: The Medical Monitoring Project (MMP) is a complex sample survey of adults with diagnosed HIV in the United States. METHODS: We analyzed 2015-2019 MMP data using linear regression models to calculate expected prevalence, along with corresponding prediction intervals (PI), for unemployment, subsistence needs, depression, and anxiety for June-November 2020. We then assessed whether observed estimates fell within the expected prediction interval for each characteristic, overall and among specific groups. RESULTS: Overall, the observed estimate for unemployment was higher than expected (17% vs. 12%) and exceeded the upper limit of the PI. Those living in households with incomes ≥400% of FPL were the only group where the observed prevalence of depression and anxiety during the COVID-19 period was higher than the PIs; in this group, the prevalence of depression was 9% compared with a predicted value of 5% (75% higher) and the prevalence of anxiety was 11% compared with a predicted value 5% (137% higher). We did not see elevated levels of subsistence needs, although needs were higher among Black and Hispanic compared with White persons. CONCLUSIONS: Efforts to deliver enhanced employment assistance to persons with HIV and provide screening and access to mental health services among higher income persons may be needed to mitigate the negative effects of the US COVID-19 pandemic.


Subject(s)
COVID-19 , HIV Infections , Adult , COVID-19/epidemiology , Depression/epidemiology , Depression/psychology , HIV Infections/complications , HIV Infections/epidemiology , HIV Infections/psychology , Humans , Mental Health , Pandemics , Unemployment , United States/epidemiology
3.
AIDS Care ; 33(12): 1611-1615, 2021 12.
Article in English | MEDLINE | ID: mdl-33172311

ABSTRACT

In the United States, one in four adults is living with a disability. Age-related changes, disease-related pathology and treatments can place a person with HIV at risk for a disability. We analyzed nationally representative data to describe disability status among adults ≥18 years with diagnosed HIV in the United States and Puerto Rico by demographic characteristics, health behaviors, quality of care, clinical outcomes and mental health status. We reported weighted percentages and prevalence ratios with predicted marginal means to evaluate significant differences between groups (P < .05). Overall, 44.5% reported any disability; the most frequently reported disabilities were related to mobility (24.8%) and cognition (23.9%). Persons who lived in households at or below the poverty level or who experienced homelessness in the last 12 months reported a higher prevalence of any disability than persons who were not poor or not homeless (60.2% vs. 33.4% and 61.8% vs. 42.8%, respectively). Prevalence of depression and anxiety was higher among persons with any disability compared with those with no disability (32.8% and 26.6% versus 10.1% and 7.0%, respectively). Enhancing support from clinicians and ancillary providers may help optimize long-term health outcomes among HIV-positive persons with disabilities.


Subject(s)
Disabled Persons , HIV Infections , Ill-Housed Persons , Adult , HIV Infections/epidemiology , Health Behavior , Humans , Prevalence , United States/epidemiology
4.
PLoS One ; 15(12): e0243351, 2020.
Article in English | MEDLINE | ID: mdl-33270798

ABSTRACT

OBJECTIVES: The Medical Monitoring Project (MMP) is a public health surveillance system that provides representative estimates of the experiences and behaviors of adults with diagnosed HIV in the United States. In 2015, the sample design and frame of MMP changed from a system that only included HIV patients to one that captures the experiences of persons receiving and not receiving HIV care. We describe methods investigated for calculating survey weights, the approach chosen, and the benefits of using a dynamic surveillance registry as a sampling frame. METHODS: MMP samples adults with diagnosed HIV from the National HIV Surveillance System, the HIV case surveillance registry for the United States. In the methodological study presented in this manuscript, we compared methods that account for sample design and nonresponse, including weighting class adjustment vs. propensity weighting and a single-stage nonresponse adjustment vs. sequential adjustments for noncontact and nonresponse. We investigated how best to adjust for non-coverage using surveillance data to post-stratify estimates. RESULTS: After assessing these methods, we chose as our preferred procedure weighting class adjustments and a single-stage nonresponse adjustment. Classes were constructed using variables associated with respondents' characteristics and important survey outcomes, chief among them laboratory results available from surveillance that served as a proxy for medical care. CONCLUSIONS: MMPs weighting procedures reduced sample bias by leveraging auxiliary information on medical care available from the surveillance registry sampling frame. Expanding MMPs population of focus provides important information on characteristics of persons with diagnosed HIV that complement the information provided by the surveillance registry. MMP methods can be applied to other disease registries or population-monitoring systems when more detailed information is needed for a population, with the detailed information obtained efficiently from a representative sample of the population covered by the registry.


Subject(s)
Delivery of Health Care , HIV Infections/epidemiology , Public Health Surveillance , Adult , Female , HIV Infections/therapy , Humans , Male , Middle Aged , United States
5.
J Acquir Immune Defic Syndr ; 82 Suppl 1: S6-S12, 2019 09 01.
Article in English | MEDLINE | ID: mdl-31425389

ABSTRACT

BACKGROUND: Data to care (D2C) is a public health strategy that uses HIV surveillance and other data to identify persons in need of HIV medical care. The Medical Monitoring Project (MMP), which uses similar methods to contact and recruit HIV-positive persons, may inform predictors of successful contact for D2C programs. SETTING: MMP is a Centers for Disease Control and Prevention-funded surveillance system that collects nationally representative data on adults with diagnosed HIV in the United States and Puerto Rico. METHODS: Using MMP's 2016 data collection cycle, we present contact rates (ie, proportion of HIV-positive persons successfully contacted for MMP) by the age of contact information and age of laboratory test results available from HIV surveillance data. RESULTS: Nationally, 27.6% of eligible persons did not have a recorded laboratory test performed within the past year (project area range: 10.8%-54.6%). The national contact rate among persons with laboratory tests older than 1 year was 37.0% (project area range: 16.5%-67.1%). Higher contact rates were found among persons with more recent laboratory tests. Similar results were found by the age of contact information. Nationally, the most common reason for MMP ineligibility was that the person was deceased; the most common reason for not being contacted was lack of correct contact information. CONCLUSIONS: MMP findings suggest that D2C programs would benefit from efforts to improve the quality of HIV surveillance data and local surveillance practices-in particular, death ascertainment, the completeness of laboratory reporting, and the routine updating of contact information. Strengthening collaboration and integration with existing MMP programs may be beneficial.


Subject(s)
HIV Infections/epidemiology , Population Surveillance/methods , Adult , Female , Humans , Male , Middle Aged , Puerto Rico/epidemiology , United States/epidemiology
6.
MMWR Surveill Summ ; 66(16): 1-144, 2017 09 15.
Article in English | MEDLINE | ID: mdl-28910267

ABSTRACT

PROBLEM: Chronic diseases and conditions (e.g., heart diseases, stroke, arthritis, and diabetes) are the leading causes of morbidity and mortality in the United States. These conditions are costly to the U.S. economy, yet they are often preventable or controllable. Behavioral risk factors (e.g., excessive alcohol consumption, tobacco use, poor diet, frequent mental distress, and insufficient sleep) are linked to the leading causes of morbidity and mortality. Adopting positive health behaviors (e.g., staying physically active, quitting tobacco use, obtaining routine physical checkups, and checking blood pressure and cholesterol levels) can reduce morbidity and mortality from chronic diseases and conditions. Monitoring the health risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services at multilevel public health points (states, territories, and metropolitan and micropolitan statistical areas [MMSA]) can provide important information for development and evaluation of health intervention programs. REPORTING PERIOD: 2013 and 2014. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed 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 and practices related to the leading causes of death and disability in the United States and participating territories. This is the first BRFSS report to include age-adjusted prevalence estimates. For 2013 and 2014, these age-adjusted prevalence estimates are presented for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, and selected MMSA. RESULTS: Age-adjusted prevalence estimates of health status indicators, health care access and preventive practices, health risk behaviors, chronic diseases and conditions, and cardiovascular conditions vary by state, territory, and MMSA. Each set of proportions presented refers to the range of age-adjusted prevalence estimates of selected BRFSS measures as reported by survey respondents. The following are estimates for 2013. Adults reporting frequent mental distress: 7.7%-15.2% in states and territories and 6.3%-19.4% in MMSA. Adults with inadequate sleep: 27.6%-49.2% in states and territories and 26.5%-44.4% in MMSA. Adults aged 18-64 years having health care coverage: 66.9%-92.4% in states and territories and 60.5%-97.6% in MMSA. Adults identifying as current cigarette smokers: 10.1%-28.8% in states and territories and 6.1%-33.6% in MMSA. Adults reporting binge drinking during the past month: 10.5%-25.2% in states and territories and 7.2%-25.3% in MMSA. Adults with obesity: 21.0%-35.2% in states and territories and 12.1%-37.1% in MMSA. Adults aged ≥45 years with some form of arthritis: 30.6%-51.0% in states and territories and 27.6%-52.4% in MMSA. Adults aged ≥45 years who have had coronary heart disease: 7.4%-17.5% in states and territories and 6.2%-20.9% in MMSA. Adults aged ≥45 years who have had a stroke: 3.1%-7.5% in states and territories and 2.3%-9.4% in MMSA. Adults with high blood pressure: 25.2%-40.1% in states and territories and 22.2%-42.2% in MMSA. Adults with high blood cholesterol: 28.8%-38.4% in states and territories and 26.3%-39.6% in MMSA. The following are estimates for 2014. Adults reporting frequent physical distress: 7.8%-16.0% in states and territories and 6.2%-18.5% in MMSA. Women aged 21-65 years who had a Papanicolaou test during the past 3 years: 67.7%-87.8% in states and territories and 68.0%-94.3% in MMSA. Adults aged 50-75 years who received colorectal cancer screening on the basis of the 2008 U.S. Preventive Services Task Force recommendation: 42.8%-76.7% in states and territories and 49.1%-79.6% in MMSA. Adults with inadequate sleep: 28.4%-48.6% in states and territories and 25.4%-45.3% in MMSA. Adults reporting binge drinking during the past month: 10.7%-25.1% in states and territories and 6.7%-26.3% in MMSA. Adults aged ≥45 years who have had coronary heart disease: 8.0%-17.1% in states and territories and 7.6%-19.2% in MMSA. Adults aged ≥45 years with some form of arthritis: 31.2%-54.7% in states and territories and 28.4%-54.7% in MMSA. Adults with obesity: 21.0%-35.9% in states and territories and 19.7%-42.5% in MMSA. INTERPRETATION: Prevalence of certain chronic diseases and conditions, health risk behaviors, and use of preventive health services varies among states, territories, and MMSA. The findings of this report highlight the need for continued monitoring of health status, health care access, health behaviors, and chronic diseases and conditions at state and local levels. PUBLIC HEALTH ACTION: State and local health departments and agencies can continue to use BRFSS data to identify populations at risk for certain unhealthy behaviors and chronic diseases and conditions. Data also can be used to design, monitor, and evaluate public health programs at state and local levels.


Subject(s)
Chronic Disease/epidemiology , Health Behavior , Population Surveillance , Risk-Taking , Adult , Aged , Behavioral Risk Factor Surveillance System , District of Columbia/epidemiology , Female , Guam/epidemiology , Health Services Accessibility/statistics & numerical data , Humans , Male , Middle Aged , Prevalence , Preventive Health Services/statistics & numerical data , Puerto Rico/epidemiology , United States/epidemiology , Young Adult
7.
MMWR Surveill Summ ; 65(4): 1-142, 2016 04 29.
Article in English | MEDLINE | ID: mdl-27124212

ABSTRACT

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.


Subject(s)
Chronic Disease/epidemiology , Health Behavior , Health Services Accessibility/statistics & numerical data , Population Surveillance , Preventive Health Services/statistics & numerical data , Adult , Behavioral Risk Factor Surveillance System , Female , Humans , Male , United States/epidemiology
8.
Ethn Dis ; 24(1): 92-6, 2014.
Article in English | MEDLINE | ID: mdl-24620454

ABSTRACT

OBJECTIVE: To examine the differences in health behaviors, and obesity between Hispanics and non-Hispanic Whites with depression. DESIGN: Depression data were gathered from 38 states, the District of Columbia, Puerto Rico, and the US Virgin Islands using the 2006 Behavioral Risk Factor Surveillance System, a state-based random-digit-dialed telephone survey of adults aged > or =18 years (n=156,991). The Patient Health Questionnaire 8 was used to determine current depression. Lifetime diagnosis of depression was assessed by self-report of physician diagnosis. Prevalence ratios were calculated to examine the racial/ethnic differences in leisure-time physical activity, cigarette smoking, binge drinking, heavy drinking and obesity among people with current depression and lifetime diagnosis of depression. RESULTS: There were significant differences in age, education, and health care coverage between Hispanics and non-Hispanic Whites with current depression and lifetime diagnosis of depression. Hispanics with current depression and with lifetime diagnosis of depression were more likely to be obese than non-Hispanic Whites. After adjusting for demographic factors, health care coverage, and self-rated health status, Hispanics with current depression were 17% more likely not to participate in leisure-time physical activity and 42% less likely to be a current cigarette smoker compared with non-Hispanic Whites. Hispanics with lifetime diagnosis of depression were 14% more likely not to participate in leisure-time physical activity and 44% less likely to be a current cigarette smoker than non-Hispanic Whites after adjusting for confounders. CONCLUSIONS: Public health intervention programs are needed to promote healthy behaviors especially physical activity participation with in the Hispanic community, and paying particular attention to people who already are depressed.


Subject(s)
Health Behavior/ethnology , Hispanic or Latino/psychology , Obesity/ethnology , Adolescent , Adult , Aged , Female , Health Promotion , Hispanic or Latino/statistics & numerical data , Humans , Male , Middle Aged , United States/epidemiology , White People/psychology , Young Adult
9.
MMWR Surveill Summ ; 62(1): 1-247, 2013 May 31.
Article in English | MEDLINE | ID: mdl-23718989

ABSTRACT

PROBLEM: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States. Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs. Monitoring and evaluating health-risk behaviors and the use of health services is essential to developing intervention programs, promotion strategies, and health policies that address public health at multiple levels, including state, territory, metropolitan and micropolitan statistical area (MMSA), and county. REPORTING PERIOD: January-December 2010. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed 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 and practices related to the leading causes of death and disabilities in the United States. This report presents results for 2010 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 192 MMSAs, and 302 counties. RESULTS: In 2010, the estimated prevalence of high-risk health behaviors, chronic diseases and conditions, access to health care, and use of preventive health services varied substantially by state and territory, MMSA, and county. In the following summary of results, each set of proportions refers to the range of estimated prevalence for the disease, condition, or behaviors, as reported by survey respondents. Adults reporting good or better health: 67.9%-89.3% for states and territories, 72.2%-92.1% for MMSAs, and 72.8%-95.8% for counties. Adults with health-care coverage: 69.4%-95.7% for states and territories, 45.7%-97.0% for MMSAs, and 45.7%-97.2% for counties. Adults who had a dental visit in the past year: 57.2%-81.7% for states and territories, 47.1%-83.5% for MMSAs, and 47.1%-88.2% for counties. Adults aged ≥65 years having had all their natural teeth extracted (edentulism): 7.4%-36.0% for states and territories, 4.8%-34.8% for MMSAs, and 2.4%-39.3% for counties. A routine physical checkup during the preceding 12 months: 53.8%-80.0% for states and territories, 49.5%-82.6% for MMSAs, and 49.5%-85.3% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.9%-73.4% for states and territories, 51.7%-77.1% for MMSAs, and 49.3%-87.8% for counties. Pneumococcal vaccination ever received among adults aged ≥65 years: 24.7%-74.0% for states and territories, 48.6%-79.9% for MMSAs, and 47.6%-83.1% for counties. Sigmoidoscopy or colonoscopy ever received among adults aged ≥50 years: 37.8%-75.7% for states and territories, 37.3%-79.9% for MMSAs, and 37.3%-82.5% for counties. Blood stool test received during the preceding 2 years among adults aged ≥50 years: 8.5%-27.0% for states and territories, 6.7%-51.3% for MMSAs, and 6.8%-57.2% for counties. Women who reported having had a Papanicolaou test during the preceding 3 years: 67.8%-88.9% for states and territories, 63.3%-91.2% for MMSAs, and 63.2%-95.7% for counties. Women aged ≥40 years who had a mammogram during the preceding 2 years: 63.8%-83.6% for states and territories, 60.3%-86.2% for MMSAs, and 59.3%-89.7% for counties. Current cigarette smokers: 5.8%-26.8% for states and territories, 5.8%-28.5% for MMSAs, and 5.9%-29.8% for counties. Binge drinking during the preceding month: 6.6%-21.6% for states and territories, 3.6%-23.0% for MMSAs, and 3.8%-24.0% for counties. Heavy drinking during the preceding month: 2.0%-7.2% for states and territories, 1.0%-10.0% for MMSAs, and 1.0%-14.2% for counties. Adults reporting no leisure-time physical activity: 17.5%-42.3% for states and territories, 13.1%-37.6% for MMSAs, and 8.5%-39.0% for counties. Adults who were overweight: 32.6%-40.7% for states and territories, 28.5%-42.5% for MMSAs, and 27.2%-46.4% for counties. Adults aged ≥20 years who were obese: 22.1%-35.0% for states and territories, 17.1%-42.1% for MMSAs, and 13.3%-42.1% for counties. Adults with current asthma: 5.2%-11.1% for states and territories, 3.4%-14.5% for MMSAs, and 3.3%-14.6% for counties. Adults with diagnosed diabetes: 5.3%-13.2% for states and territories, 4.6%-15.4% for MMSAs, and 2.6%-18.8% for counties. Adults with limited activities because of physical, mental or emotional problems: 10.8%-28.2% for states and territories, 13.5%-38.3% for MMSAs, and 11.7%-32.0% for counties. Adults using special equipment because of any health problem: 2.8%-10.6% for states and territories, 4.5%-15.5% for MMSAs, and 1.3%-15.5% for counties. Adults aged ≥45 years who have had coronary heart disease: 5.3%-16.7% for states and territories, 6.5%-19.6% for MMSAs, and 4.9%-19.6% for counties. Adults aged ≥45 years who have had a stroke: 2.4%-7.1% for states and territories, 2.3%-8.8% for MSMAs, and 1.7%-8.8% for counties. INTERPRETATION: The findings in this report indicate substantial variations in the health-risk behaviors, chronic diseases and conditions, access to health-care services, and the use of the preventive health services among U.S. adults at the state and territory, MMSA, and county levels. Healthy People 2010 (HP 2010) objectives were established to monitor health behaviors, conditions, and the use of preventive health services for the first decade of the 2000s. The findings in this report indicate that many of the HP 2010 objectives were not achieved by 2010. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases, and conditions and of the use of preventive health-care services. PUBLIC HEALTH ACTION: Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health-risk behaviors, chronic diseases, and conditions and to evaluate the use of preventive health-care services. BRFSS data also are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality from chronic conditions and corresponding health-risk behaviors.


Subject(s)
Health Behavior , Population Surveillance , Adult , Behavioral Risk Factor Surveillance System , Chronic Disease , District of Columbia , Female , Guam , Health Services Accessibility , Humans , Male , Preventive Health Services/statistics & numerical data , Puerto Rico , Risk-Taking , Small-Area Analysis , United States , United States Virgin Islands
10.
Ethn Dis ; 18(4): 483-7, 2008.
Article in English | MEDLINE | ID: mdl-19157254

ABSTRACT

OBJECTIVE: Improving quality of life is one of the goals of the Healthy People 2010 objectives. Health-related quality of life (HRQOL) measures can be used to indicate unmet health needs and identify health disparity in population subgroups. SETTING AND PARTICIPANTS: Data were gathered from the 2001-2002 Behavioral Risk Factor Surveillance System (BRFSS), a state based annual random-digit-dialed telephone survey of non-institutional adults aged > or = 18 years. METHODS: The 4-items Healthy Days questions and the 5-item Health Days Symptoms questions were compared among non-Hispanic Whites (White), non-Hispanic Blacks (Black), non-Hispanic Asians (Asian), non-Hispanic American Indian or Alaska Native (AIAN) and Hispanics. Logistic regression models were constructed to evaluate racial/ethnic differences in HRQOL measures after adjusting for confounding factors. RESULTS: After adjusting for confounders, Blacks were 40%, AIANs were 80%, and Hispanics were twice as likely to report fair or poor general health than Whites. Asians were less likely and AIANs were more likely to report frequent physical distress, mental distress, and activity limitations. After controlling for confounders, there were no racial or ethnic differences in the prevalence of frequent depressive symptoms; however, Blacks, Hispanics, and Asians were less likely to report frequent pain, frequent anxiety symptom, and frequent sleep insufficiency than Whites. Blacks, Asians, and AIANs were equally likely to report infrequent vitality as Whites. CONCLUSIONS: Mental health status has a larger impact on health in certain race/ethnic groups. More public health efforts should address the mental health needs of Blacks, Hispanics, and AIANs.


Subject(s)
Health Status , Minority Groups , Quality of Life , Black or African American/statistics & numerical data , Asian/statistics & numerical data , Behavioral Risk Factor Surveillance System , Hispanic or Latino/statistics & numerical data , Humans , Indians, North American/statistics & numerical data , Inuit/statistics & numerical data , United States , White People/statistics & numerical data
11.
MMWR Surveill Summ ; 56(4): 1-160, 2007 May 11.
Article in English | MEDLINE | ID: mdl-17495793

ABSTRACT

PROBLEM: Behavioral risk factors such as smoking, poor diet, physical inactivity, and excessive drinking are linked to the leading causes of death in the United States. Controlling these behavioral risk factors and using preventive health services (e.g., influenza and pneumococcal vaccination of adults aged > or =65 years and hypertension and cholesterol screenings) can substantially reduce the morbidity and mortality in the U.S. population. Continuous monitoring of these behaviors and preventive services are essential for developing health promotion, intervention programs, and health policies at the state, city, and county level. REPORTING PERIOD COVERED: Data collected in 2005 are presented for states/territories, selected metropolitan and micropolitan statistical areas (MMSAs), metropolitan divisions, and selected counties. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit--dialed telephone survey of the noninstitutionalized U.S. population aged > or =18 years. BRFSS collects information on health risk behaviors and preventive health services related to leading causes of death. All 50 states, the District of Columbia (DC), the Commonwealth of Puerto Rico, and the U.S. Virgin Islands participated in BRFSS during 2005. Within these states and territories, 153 MMSAs and 232 counties that reported data for at least 500 respondents or a minimum sample size of 19 per weighting class were included in the analyses. RESULTS: Prevalence of health-risk behaviors, awareness of specific medical conditions, and use of preventive services varied substantially by state/territory, MMSA, and county. In 2005, prevalence of health insurance ranged from 60% to 95% for states/territories, MMSAs, and counties. Prevalence of leisure-time physical inactivity ranged from 16% to 49% for states/territories, 14% to 36% for MMSAs, and 12% to 41% for counties. Prevalence of adults who engaged in at least moderate physical activity ranged from 33% to 62%, and prevalence of vigorous physical activity ranged from 15% to 42% for states/territories, MMSAs, and counties. Prevalence of adults who currently smoke cigarettes ranged from 6% to 35% for states/territories, MMSAs, and counties. The prevalence of binge drinking was substantially higher than the prevalence of heavy drinking across all the states/territories, MMSAs, and counties. Prevalence of adults who were overweight ranged from 53% to 67 % for states/territories, 49% to 70% for MMSAs, and 44% to 71% for counties. Prevalence of current asthma ranged from 4% to 14% for states/territories, MMSAs, and counties. Prevalence of diabetes ranged from 4% to 14% for states/territories and MMSAs and from 3% to 14% for counties. Proportion of respondents with high blood pressure ranged from 13% to 39% for states/territories, MMSAs and counties. Prevalence of respondents with high cholesterol ranged from 31% to 41% for states/territories and 26% to 47% for MMSAs and counties. The prevalence estimates for respondents who reported being limited in any way in any activities because of physical, mental, or emotional problems ranged from 10% to 27% for states/territories, 12% to 31% for MMSAs, and 10% to 27% for counties. The percentage of respondents who required use of special equipment ranged from 4% to 10% for the states/territories, 3% to 15% for MMSAs, and 3% to 11% for counties. Prevalence of fair or poor health ranged from 11% to 34% for states/territories and 6% to 26% for MMSAs and counties. The prevalence of adults who checked their cholesterol during the preceding 5 years ranged from 55% to 86% for states/territories, MMSAs, and counties. Prevalence of annual influenza vaccination among adults aged > or =65 years ranged from 32% to 78% for states/territories, 48% to 83% for MMSAs, and 41% to 84% for counties. The estimated prevalence of pneumococcal vaccination among adults aged > or =65 years ranged from 28% to 72% for states/territories, 52% to 82% for MMSAs, and 35% to 83% for counties. INTERPRETATION: The findings in this report indicate a wide variation in health-risk behaviors, chronic conditions, and use of preventive services among U.S. adults at the state/territory, MMSA, and county level. The findings underscore a need for continuous efforts to evaluate public health intervention programs and policies designed to reduce morbidity and mortality caused by chronic disease and injury. PUBLIC HEALTH ACTION: The 2005 BRFSS data indicate a need for continued monitoring of health-risk behaviors, specific disease conditions, and use of preventive services to identify high-risk populations and to implement and monitor health-promotion programs and health policies at the state/territory, MMSA, and county level.


Subject(s)
Health Behavior , Behavioral Risk Factor Surveillance System , Health Promotion , Health Status , Humans , Life Style , Primary Prevention , United States
12.
Ethn Dis ; 16(2): 534-41, 2006.
Article in English | MEDLINE | ID: mdl-17682283

ABSTRACT

OBJECTIVE: One of the goals of Healthy People 2010 is to eliminate health disparities among racial/ethnic groups. This study compared Hispanics with non-Hispanic Whites and non-Hispanic Blacks on six leading health indicators (LHIs) by demographics characteristics, access to medical care, and general health status. SETTING: Data were gathered from 2003 Behavioral Risk Factor Surveillance System (BRFSS), a state based random-digit-dialed telephone survey. PARTICIPANTS: Respondents were non-institutionalized adults age > or = 18 years. METHODS: Respondents were compared by physical activity, smoking, binge drinking, obesity, health insurance coverage, specific source of ongoing care, influenza vaccination within last 12 months, and any pneumococcal vaccination. Logistic regression models were constructed to evaluate racial/ethnic differences in LHIs after adjusting for confounding variables. RESULTS: Responses from 235,784 participants were analyzed (Hispanic = 18,929, non-Hispanic White = 202,035, non-Hispanic Black = 14,820). Hispanics did not meet the target of any LHIs. Regardless of educational attainment, and after adjusting for confounders, Hispanics were less likely than non-Hispanic Whites to be moderately physically active, to have healthcare coverage or a specific source of ongoing care, and to have received a pneumococcal vaccination. They were less likely to smoke but equally as likely to have received a flu shot. Hispanics with more than a high school education were equally likely to binge drink but more likely to be obese than non-Hispanic Whites after adjusting for confounding factors. CONCLUSIONS: To eliminate the health disparities of Hispanics by 2010, culturally appropriate health education and accessible preventive services are needed.


Subject(s)
Black or African American , Health Status Indicators , Hispanic or Latino , Adult , Aged , Behavioral Risk Factor Surveillance System , Female , Health Behavior/ethnology , Healthy People Programs , Humans , Immunization Programs/statistics & numerical data , Logistic Models , Male , Middle Aged , United States/epidemiology
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