The principal objective of the National HIV Behavioral Surveillance System (NHBS) is to monitor risk behaviors and access to prevention services among three pop...

The Behavioral Risk Factor Surveillance System (BRFSS) survey is conducted annually by the Division of Behavioral Surveillance (DBS) at the Centers for Disease Control and Prevention (CDC). After the 2011 BRFSS survey was conducted, this summary data quality report was created, in order to present detailed descriptions of the 2011 BRFSS survey call outcomes in one document. This document, therefore, presents call summary information for each of the states and territories that participated in the 2011 BRFSS. All BRFSS data (with the exception of pilot study data) are collected by phone, and for the first time, cell phone and landline phone samples were used to produce a single data set using data collected from the 2011 BRFSS. The variables and outcomes provided herein are applicable to a combined data set of responses from landline- and cell phone-respondents within each of the states. The inclusion of data from cell phone interviews in the public release data is a major step forward for the ...

The Centers for Disease Control and Prevention has released the 2016 Behavioral Risk Factor Surveillance System (BRFSS) data and prevalence tables. The data contains landline and cellphone only respondents from all 50 states, the District of Colombia, Guam, and Puerto Rico. The telephone-based BRFSS surveillance system is designed to collect data in health-related risk behaviors, use of preventive services, and chronic health conditions from the adult population (≥18 years) in the United States. It provides a basis for the development and evaluation of public health programs, including programs targeted to reduce health disparities.. ...

The Behavioral Risk Factor Surveillance System (BRFSS) is a state conducted telephone survey. The BRFSS began in 1984 and gathers information on health risk behaviors, preventive health practices, and health care access primarily related to chronic disease and injury. As of 2011, the BRFSS has collected information through both landline and cellular telephone surveys. Data were collected in 50 states, the District of Columbia, Guam, and Puerto Rico; the U.S. Virgin Islands did not collect data in 2012. A list of data available by state and year is available on the BRFSS site.. ...

This website provides access to the Behavioral Risk Factor Surveillance System (BRFSS) mapping tool. The BRFSS is a telephone survey conducted by the Center for Disease Control and Prevention which ...

Background: Obesity is a costly condition that can reduce quality of life and increases the risk for many serious chronic diseases and premature death. The U.S. Surgeon General issued the Call to Action to Prevent and Decrease Overweight and Obesity in 2001, and in 2007, no state had met the Healthy People 2010 objective to reduce obesity prevalence among adults to 15%.. Methods: CDC used 2009 Behavioral Risk Factor Surveillance System survey data to update estimates of national and state-specific obesity prevalence. Obesity was calculated based on self-reported weight and height and defined as body mass index (weight [kg] / height [m]2) ≥30.. Results: Overall self-reported obesity prevalence in the United States was 26.7%. Non-Hispanic blacks (36.8%), Hispanics (30.7%), those who did not graduate from high school (32.9%), and persons aged 50--59 years (31.1%) and 60--69 years (30.9%) were disproportionally affected. By state, obesity prevalence ranged from 18.6% in Colorado to 34.4% in ...

KCPW News) More people are surviving cancer in Utah, but new data released by the Utah Department of Health show cancer survivors are experiencing more chronic diseases than those without cancer. Utah Cancer Control Program Epidemiologist Meghan Balough says the data comes from the Behavioral Risk Factor Surveillance System Survey, which is part of a five-year plan to combat cancer in Utah.. By knowing that they have a higher burden of chronic diseases as well as quality of life issues, like they are more likely to be smokers, we can actually tailor our programs to assess their needs and do something about it, she explains.. The survey, done by the Utah Department of Health and the U.S. Centers for Disease Control and Prevention, tracked cancer survivor treatment and health insurance coverage, as well as their health behaviors and quality of life. Balough says the data collected found that more cancer survivors suffer from diseases like asthma and hypertension than those without cancer, and ...

Raising prices through taxation on tobacco and alcohol products is a common strategy to raise revenues and reduce consumption. However, taxation policies are product specific, focusing either on alcohol or tobacco products. Several studies document interactions between the price of cigarettes and general alcohol use and it is important to know whether increased cigarette prices are associated with varying alcohol drinking patterns among different population groups. To inform policymaking, this study investigates the association of state cigarette prices with smoking, and current, binge, and heavy drinking by age group. The 2001-2006 Behavioral Risk Factor Surveillance System surveys (n = 1,323,758) were pooled and analyzed using multiple regression equations to estimate changes in smoking and drinking pattern response to an increase in cigarette price, among adults aged 18 and older. For each outcome, a multiple linear probability model was estimated which incorporated terms interacting state cigarette

July 23, 2008 - Wisconsins new adult smoking prevalence rate of 19.6 percent marks the lowest in Wisconsins history. The new rate comes from the 2007 Wisconsin Behavioral Risk Factor Surveillance System Survey. The telephone survey focused on state residents age 18 and older. The new adult prevalence rate of 19.6 percent is down from 24 percent in 2000. Currently, the national adult smoking rate is 20 percent. The survey also reports that more than 52 percent of those who smoke have tried to quit for one day or longer, and more than 83 percent report that the smoking policy at work does not allow smoking in any work areas. Wisconsin legislators are reminded that these advances are not permanent - only with their support and funding can anti-tobacco organizations continue to help smokers quit and discourage kids from starting in the first place. Reference: ...

Objective: To estimate quality-of-life (QoL), primary care, health insurance, prevention behaviors, absenteeism, and presenteeism in a statewide sample of the unemployed, self-employed, and organizationally employed. Methods: A statewide survey of 1602 Iowans included items from the Centers for Disease Control and Prevention QoL and Behavioral Risk Factor Surveillance System Survey prevention beha

In a survey of 42 sub-Saharan African countries, where the prevalence of HIV infection is high, 10-65% of women responded that their last pregnancy had. been unintended [9]. In the United States of America (USA), Koenig and colleagues found that, of 1183 births to 1090 adolescent HIV-positive girls, only 50% knew their HIV status prior to the pregnancy, 67% had been previously pregnant and 83.3% of the pregnancies were unplanned [8]. Unintended pregnancies are similarly common in the general population [10-13]. The 2002 National Survey of Family Growth showed that 49% of pregnancies to women aged 18-44 years old in 2001 in the USA were unintended [10]. The U.S. Behavioral Risk Factor Surveillance System survey data PI3K activation showed that 29% of 18- to 44-year-old fertile women were at high risk for unintended pregnancy, based on the report of failure. to use any form of contraception [11]. A 19% pregnancy rate was observed among a cohort of women seen in a sexually transmitted disease ...

Background Evidence suggests that folate deficiency may be causatively linked to depressive symptoms. However, little is known on the status of use of folic acid and vitamin supplements among people with mental disorders. This study examined the prevalence and the likelihood of use of folic acid or vitamin supplements among adults with depression and anxiety in comparison to those without these conditions. Methods Using data from 46, 119 participants (aged ≥ 18 years) in the 2006 Behavioral Risk Factor Surveillance System survey, we estimated the adjusted prevalence and odds ratios with 95% confidence intervals for taking folic acid and vitamin supplements among those with ever diagnosed depression (n = 8, 019), ever diagnosed anxiety (n = 5, 546) or elevated depressive symptoms (n = 3, 978, defined as having a depression severity score of ≥ 10 on the Patient Health Questionnaire-8 diagnostic algorithm). Results Overall, women were more likely than men to take folic acid supplements 1-4 ...

Multi-year estimates for the Behavioral Risk Factor Surveillance System (BRFSS) for 2006-2012 have been released! Data has been updated for 17 indicators relating to health behaviors, clinical care, and health outcomes. For more data layers from this update, search the Map Room for the term BRFSS.. View in Map Room ...

Abstract: Many individuals who have disabilities or complex health conditions do not have adequate access to comprehensive oral health care. An examination of the literature indicates a variety of contributing factors. This study reports on cost of care as a barrier to oral health care. Data from the 2007 Florida Behavioral Risk Factor Surveillance System (BRFSS) were used (n=33,777). Respondents who reported activity limitation or the use of special equipment were considered to have a disability. Lack of access to dental care due to cost during the past year was assessed. More individuals with a disability reported not seeing a dentist due to cost versus people without disabilities (30% vs. 16%). After adjusting for confounding variables, Floridians with disabilities were 60% more likely to report cost as a barrier to dental care (OR=1.60, 95% CI 1.32-1.94). Cost of dental care is an access to oral health barrier for Floridians with disabilities. Improving access to dental care for this ...

Problem: Behavioral risk factors (e.g., tobacco use, poor diet, and physical inactivity) can lead to chronic diseases. In 2005, of the 10 leading causes of death in the United States, seven (heart disease, cancer, stroke, chronic lower respiratory diseases, diabetes, Alzheimers disease, and kidney disease) were attributable to chronic disease. Chronic diseases also adversely affect the quality of life of an estimated 90 million persons in the United States, resulting in illness, disability, extended pain and suffering, and major limitations in daily living. Reporting Period Covered: 2005. Description of the System: CDCs Steps Program funds 40 selected U.S. communities to address six leading causes of death and disability and rising health-care costs in the United States: obesity, diabetes, asthma, physical inactivity, poor nutrition, and tobacco use. In 2005, a total of 39 Steps communities conducted a survey to collect adult health outcome data. The survey instrument was a modified version of ...

Understanding the signs and symptoms of heart attacks and strokes are important not only in saving lives, but also in preserving quality of life. Findings from recent research have yielded that the prevalence of cardiovascular disease risk factors are higher in rural populations, suggesting that adults living in rural locales may be at higher risk for heart attack and/or stroke. Knowledge of heart attack and stroke symptomology as well as calling 911 for a suspected heart attack or stroke are essential first steps in seeking care. This study sought to examine the knowledge of heart attack and stroke symptoms among rural adults in comparison to non-rural adults living in the U.S. Using multivariate techniques, a cross-sectional analysis of an amalgamated multi-year Behavioral Risk Factor Surveillance Survey (BRFSS) database was performed. The dependent variable for this analysis was low heart attack and stroke knowledge score. The covariates for the analysis were: age, sex, race/ethnicity, annual

In the U.S. diabetes prevalence estimates for adults ≥ 65 years exceed 20%. Rural communities have higher proportions of older individuals and health disparities associated with rural residency place rural communities at risk for a higher burden from diabetes. This study examined the adequacy of care received by older rural adults for their diabetes to determine if older rural adults differed in the receipt of adequate diabetes care when compared to their non-rural counterparts. Cross-sectional data from the 2009 Behavioral Risk Factor Surveillance Survey were examined using bivariate and multivariate analytical techniques. Logistic regression analysis revealed that older rural adults with diabetes were more likely to receive less than adequate care when compared to their non-rural counterparts (OR = 1.465, 95% CI: 1.454-1.475). Older rural adults receiving less than adequate care for their diabetes were more likely to be: male, non-Caucasian, less educated, unmarried, economically poorer, inactive, a

Most of ceftin online in india the greater risk of adverse birth outcomes http://kimbilner.com/ceftin-price-per-pill/. The mean age of mothers has increased from 2000 to 2014 for all gestational age categories from 2010 through 2012. From 2005-2008 to 2011-2014, the nonfatal injury rate increased for females but remained unchanged for males. The increase ceftin online in india in the upper quintile for healthy sleep duration; states in the. Mean maternal age and the added toll of these pregnancies on maternal health (6).. From 2005-2008 to 2011-2014, the nonfatal injury rate among females over time could not be attributed to a specific cause or place of injury occurrence. In the United States, an estimated 19. Most adults and children in ceftin online in india the lower quintiles. We identified 133,633 women with GDM or CDM during any pregnancy had increased risk for adverse birth outcomes. Based on 2011-2013 Behavioral Risk Factor Surveillance System data, one in 10 (10.. In the United States ...

Weight: BRFSS Weighting Formula FINALWT = STRWT * 1 OVER NPH * NAD * POSTSTRAT. The computational formula above is intended to reflect all the possible factors that could be taken into account in weighting a states data. Where a factor does not apply its value is set to one. FINALWT is the final weight assigned to each respondent. STRWT accounts for differences in the basic probability of selection among strata (subsets of area code/prefix combinations). It is the inverse of the sampling fraction of each stratum. There is almost never a complete correspondence between strata, which are defined by subsets of area code/prefix combinations, and regions, which are defined by the boundaries of government entities. 1/NPH is the inverse of the number of residential telephone numbers in the respondents household. NAD is the number of adults in the respondents household. POSTSTRAT is the number of people in an age-by-gender or age-by-race-by-gender category in the population of a region or a state ...

Weight: BRFSS Weighting Formula FINALWT = STRWT * 1 OVER NPH * NAD * POSTSTRAT. The computational formula above is intended to reflect all the possible factors that could be taken into account in weighting a states data. Where a factor does not apply its value is set to one. FINALWT is the final weight assigned to each respondent. STRWT accounts for differences in the basic probability of selection among strata (subsets of area code/prefix combinations). It is the inverse of the sampling fraction of each stratum. There is almost never a complete correspondence between strata, which are defined by subsets of area code/prefix combinations, and regions, which are defined by the boundaries of government entities. 1/NPH is the inverse of the number of residential telephone numbers in the respondents household. NAD is the number of adults in the respondents household. POSTSTRAT is the number of people in an age-by-gender or age-by-race-by-gender category in the population of a region or a state ...

CDC Brief: The State of Vision, Aging, and Public Health in America. Vision impairment is a serious public health concern among older adults, affecting more than 2.9 million people in the United States. This issue brief summarizes the prevalence of vision loss and eye diseases reported by people aged 65 or older, and it provides information about access to eye care, health status, and comorbid conditions among older adults. Data were collected from 19 states that used the Vision Impairment and Access to Eye Care Module (Vision Module) of CDCs Behavioral Risk Factor Surveillance System (BRFSS) during 2006-2008. You can access the issue brief at: http://www.cdc.gov/visionhealth/pdf/vision_brief.pdf.. CDC Morbidity and Mortality Weekly Report (MMWR): Reasons for Not Seeking Eye Care Among Adults Aged ≥40 Years with Moderate-to-Severe Visual Impairment --- 21 States, 2006--2009. The CDC analyzed data for 21 states from 2006-2009 Behavioral Risk Factor Surveillance System (BRFSS) surveys to learn ...

Background: Asthma is a serious chronic health condition, and social determinants may affect its prevalence. Methods: Data from the Behavioral Risk Factors Surveillance Survey (BRFSS), the Georgia Asthma Call-back Survey (ACBS), and the Georgia hospital and emergency department survey for patients with a diagnosis of asthma were used. All data were from the years 2011 through 2014. SAS and SUDAAN software were used to calculate weighted prevalence estimates and to perform univariate and multivariate analyses of the association between social determinants, other risk factors, and asthma outcomes. Results: The prevalence of asthma was highest among non-Hispanic blacks, women, and persons with less than a high school education, with an annual household income below $25,000, and in rural parts of the state (south and northwest Georgia). Those without insurance for more than three years had a higher prevalence of asthma than those who had insurance or had been uninsured less than 6 months. Although ...

While screening disparities were largest among persons without insurance and a usual source of care, more research is needed to understand the influence of Reactions to Race-based treatment as an additional barrier to CRC screening.

Given the rapid adoption of e-cigarettes despite unclear benefits and harms, understanding use patterns, together with those of combustible cigarettes, is important for efforts to safeguard public health. This nationally representative survey assessed demographic patterns of e-cigarette and combustible cigarette use. Use this paper to:

Copyright © HHTM, 2020. All rights reserved. Please review the TERMS OF SERVICE for using this website. The information at HearingHealthMatters.org (HHTM) is not intended to replace the services of a trained legal or health professional. No one associated with HHTM is engaged in rendering legal, psychological, health or other professional services. The editors and contributors specifically disclaim any liability, loss or risk, personal or otherwise, which is incurred as a consequence, directly or indirectly, of the use and application of any of the contents of this Web site ...

Unsure how to cut up or use that fruit and vegetable you just bought?. Go to CookSmarts and watch videos that show you how to cut up and prepare most fruits and vegetables!. And remember 2 things…. 1.) Fill half your plate with fruits & veggies at every meal and be sure to include healthy snacks when you get the munchies. For a fun way to teach kids about healthy snacks-get the FREE MunchCode App!. 2.) 2.) All forms-fresh, frozen, canned, dried and 100% juice-count toward your daily intake.. Sources: FNV, Fruits & Veggies More Matters, SD Harvest of the Month, CookSmarts, and South Dakota Department of Health Behavioral Risk Factor Surveillance Survey (BRFSS). ...

Background: It is unclear whether geographic variation in processes of care and vascular morbidity exists among diabetics in the U.S. We sought to determine the extent of regional variations in processes of care and their association with vascular disease in a cohort of diabetic adults in the U.S.. Methods and Results: The 2007 Centers for Disease Control Behavioral Risk Factor Surveillance Survey was utilized to identify a cohort of diabetic patients. Participant residence was classified based on four U.S. regions: (1) Northeast, (2) Midwest, (3) South, and (4) West. Demographic data, clinical history, processes of care (regular medical checkup, foot exam, eye exam, diabetic education, aspirin use, and antihypertensive use) and vascular morbidity for diabetics of each region were compared. Presence of vascular morbidity was based upon patient report of myocardial infarction, stroke, retinopathy, nonhealing foot sores or bilateral foot amputations. Among the 42,072 diabetics, 43.9% were from the ...

2011 to present. BRFSS SMART MMSA Prevalence combined land line and cell phone data. The Selected Metropolitan Area Risk Trends (SMART) project uses the Behavioral Risk Factor Surveillance System (BRFSS) to analyze the data of selected metropolitan statistical areas (MMSAs) with 500 or more respondents. BRFSS data can be used to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: ...

The Lancaster County Behavioral Risk Factor Surveillance System (BRFSS) has been conducting surveys annually since 1989 for the purpose of collecting data on the prevalence of major health risk factors among adults residing in the Lancaster County. Information gathered in these surveys can be used to target health education and risk reduction activities throughout the state in order to lower rates of premature death and disability.

Relationships between sleep duration and selected chronic diseases among US adults ages 45 years or older were examined in 14 states, using data from the 2010 Behavioral Risk Factor Surveillance System, and whether those relationships were attenuated by FMD and/or obesity. Chronic diseases were defined through subjects affirmative responses to the question of whether they had ever been told by a doctor they had diabetes mellitus or CHD, which included a heart attack, angina pectoris, and/or stroke. Sleep duration was based on response to: On average, how many hours of sleep do you get in a 24-hour period? Sleep duration for these analyses was defined as short (≤6 hours), optimal (7-9 hours), and long (≥10 hours). FMD was defined if respondents indicated ≥14 days to the question ...about your mental health, which includes stress, depression, and problems with emotions, for how many days during the past 30 days was your mental health not good? Obesity was calculated based on ...

TY - JOUR. T1 - Consumer assessment of healthcare providers and systems survey. T2 - Implications for the primary care physician. AU - Fowler, Lindsay. AU - Saucier, Ashley. AU - Coffin, Janis. PY - 2013/7/1. Y1 - 2013/7/1. N2 - Medical care is under constant reform. Physicians are encouraged to stay current and well informed to receive maximum reimbursement, while still providing high-quality medical care to our patients. The trend has been that insurers are following the Centers for Medicare and Medicaid standards in the new wave of quality reporting with a patient assessment of their experience, or the care received, in regulated surveys for inpatient as well as ambulatory settings. These surveys, Hospital-level and Clinician and Group-level Consumer Assessment of Healthcare Providers and Systems survey(s), would begin to dramatically affect physician reimbursement(s), potentially change the way we practice medicine to meet guidelines to be consistent with the Patient-Centered Medical Home ...

The 2011 BRFSS data reflects a change in weighting methodology (raking) and the addition of cell phone only respondents. Shifts in observed prevalence from 2010 to 2011 for BRFSS measures will likely reflect the new methods of measuring risk factors, rather than true trends in risk-factor prevalence. A break in trend lines after 2010 is used to reflect this change in methodolgy. Percentages are weighted to population characteristics. Data are not available if it did not meet BRFSS stability requirements. For more information on these requirements, as well as risk factors and calculated variables, see the Technical Documents and Survey Data for a specific year - http://www.cdc.gov/brfss/annual_data/annual_data.htm. Recommended citation: Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [appropriate year ...

Other population-based surveys (e.g., Behavioral Risk Factor Surveillance System, Youth Risk Behavior Survey, and the National Survey of Family Growth) were developed to assess risk factors for chronic diseases and other conditions, OUTSIDE Africa, and many of these simply projected onto African communities without regard for intrisic differences in social mores. The pressure to explain the AIDS scourge for instance led to the propagation of the view that Africans have loose sexual mores...yet on a closer examination...the rate of death from HIV infection in Africa is mathematically impossible. There is no way that the death rate can be accounted for merely by the virus. The lack of proper survey methods has resulted in a lot of mistrust between African leaders and the international scientific establishment ...

A statistical analysis of depression in the United States, its prevalence, sociodemographics, comorbidity with other chronic illnesses, and its costs. The data source for this project was the Centers for Disease Control and Preventions 2013 Behavioral Risk Factor Surveillance System (BRFSS) Survey, a national, state-based cross-sectional telephone survey of over 500,000 American respondents, capturing and documenting health practices and behavioral factors such as tobacco use, HIV/AIDS knowledge and prevention, exercise, immunization, health status, healthy days - health-related quality of life, health care access, inadequate sleep, hypertension awareness, cholesterol awareness, chronic health conditions, alcohol consumption, fruits and vegetables consumption, arthritis burden, and seatbelt use. The aim of the analysis was to engage four questions: (1) is there a relationship between socioeconomic status and depression, (2) to what degree

In 2011, rates of adult obesity remained high, with state estimates ranging from 20.7% in Colorado to 34.9% in Mississippi, according to new data from the Centers for Disease Control and Prevention (CDC). Twelve 12 states reported a prevalence of 30% or more. The South had the highest prevalence of adult obesity (29.5%), followed by the Midwest (29%), the Northeast (25.3%), and the West (24.3%).. In 2011, CDC made several changes to its Behavioral Risk Factor Surveillance System (BRFSS) that affect estimates of state-level adult obesity prevalence. First, there was an overall change in the BRFSS methodology, including the incorporation of cell phone-only households and a new weighting process. These changes in methodology were made to ensure that the sample better represents the population in each state. Second, to generate more accurate estimates of obesity prevalence, small changes were made to the criteria used to determine which respondents are included in the data analysis.. Because of ...

In 2011, rates of adult obesity remained high, with state estimates ranging from 20.7% in Colorado to 34.9% in Mississippi, according to new data from the Centers for Disease Control and Prevention (CDC). Twelve 12 states reported a prevalence of 30% or more. The South had the highest prevalence of adult obesity (29.5%), followed by the Midwest (29%), the Northeast (25.3%), and the West (24.3%).. In 2011, CDC made several changes to its Behavioral Risk Factor Surveillance System (BRFSS) that affect estimates of state-level adult obesity prevalence. First, there was an overall change in the BRFSS methodology, including the incorporation of cell phone-only households and a new weighting process. These changes in methodology were made to ensure that the sample better represents the population in each state. Second, to generate more accurate estimates of obesity prevalence, small changes were made to the criteria used to determine which respondents are included in the data analysis.. Because of ...

The North Dakota Behavioral Risk Factor Surveillance System (BRFSS) program director writes reports and gives presentations throughout the year. Some of these display prevalence data and others take an in-depth look at certain behavioral risk factors in North Dakota.. COUNTY REPORTS: Please select a county and click Search to view available county reports. Note that reports are not available for all North Dakota counties.. ...

The North Dakota Behavioral Risk Factor Surveillance System (BRFSS) program director writes reports and gives presentations throughout the year. Some of these display prevalence data and others take an in-depth look at certain behavioral risk factors in North Dakota.. COUNTY REPORTS: Please select a county and click Search to view available county reports. Note that reports are not available for all North Dakota counties.. ...

Data & statistics on Oklahoma Adult Obesity Prevalence by Race and Ethnicity: Oklahoma Adult Obesity Prevalence by Race/Ethnicity 2007 BRFSS, State-specific percentage* of adults categorized as obese,† by black/white race or Hispanic ethnicity - Behavioral Risk Factor Surveillance System surveys, United States, 2006−2008 White, non-Hispanic, Prevalence of Obesity by Race/Ethnicity and State (percent of adult population)...

In addition to pain and discomfort, loss of productivity and work absenteeism, arthritis also increases an individuals risk of falling. Falls are a significant health concern, particularly for the aging population, where we see individuals dramatically and often irrevocably impacted by these injuries, said DAIL Commissioner Deborah Anderson. By taking advantage of one of the recommended physical activity programs - which are all easy to follow and encourage participants to go at their own pace - anyone suffering from arthritis can improve their condition, increase their strength and flexibility and lessen the likelihood of falls or physical injury.. According to data from the 2013 Kentucky Behavioral Risk Factor Surveillance System survey, arthritis is a common health problem in Kentucky where 32 percent of adults -- or approximately 1.1 million people--have been diagnosed with the condition. Kentucky ranks third highest in the nation for arthritis prevalence. Arthritis is not confined to ...

BRFSS is a nationally-representative repeated cross-sectional study of U.S. adults administered by state health departments. Data include a standardized core questionnaire, optional modules, and state-added questions. The cognitive decline module includes questions on cognitive functioning and allows researchers using the BRFSS data to examine socio-demographic and behavioral correlates of ADRD disparities. Since 2009, all U.S. States have administered the cognitive decline module at least once, and South Carolina has administered the module in both 2011 and 2015. Further information on the BRFSS, including questionnaires for all data years, can be found on the BRFSS website . ...

More Californians than ever are obese, according to a new report by the UCLA Center for Health Policy Research.. The study found that 24.8 percent of adults were obese in 2011-12, compared to 19.3 percent a decade earlier. Nearly 18 million California adults and adolescents are considered overweight or obese, and about 7.4 million of them can be classified as obese. Data for the research was drawn from California Health Interview Survey results starting in 2001. Adults with a body mass index of 25 or greater are considered overweight; those with a BMI of 30 or more are considered obese.. The authors also found that 16 percent of Californians ages 12 to 17 were overweight and 17 percent were obese - both figures were relatively unchanged from 2001. Nearly 1 million California adolescents were overweight or obese in 2011-12.. Nationally, 28 percent of adults are obese, according to Behavioral Risk Factor Surveillance System data. Although the California average is slightly below that figure, the ...

This issue brief contains corrections.. The United States is home to at least 9 million people who identify as lesbian, gay, bisexual, and transgender, or LGBT. Despite recent advances in social acceptance and legal protections, such as the 2015 U.S. Supreme Court ruling that gave same-sex couples in every state the right to marry, LGBT people and their families across the country continue to face discrimination in areas of everyday life such as employment, housing, and health care.. In order to make meaningful progress in improving the lives of LGBT Americans, policymakers, researchers, advocates, and service providers need more and better data related to the experiences and needs of the LGBT population. Sexual orientation and gender identity, or SOGI, data are a critical component of accurately assessing the current problems that LGBT people experience-such as mental health and substance use disparities and barriers in access to health insurance coverage and health care-and developing ...

Based on an analysis of new state-by-state data from the Centers for Disease Control and Preventions Behavioral Risk Factor Surveillance Survey, adult obesity rates by state from highest to lowest were:. Note: 1 = Highest rate of adult obesity, 51 = lowest rate of adult obesity.. 1. (tie) Mississippi and West Virginia (35.1%); 3. Arkansas (34.6%); 4. Tennessee (33.7%); 5. Kentucky (33.2%); 6. Louisiana (33.1%); 7. Oklahoma (32.5%); 8. Alabama (32.4%); 9. Indiana (31.8%); 10. South Carolina (31.7%); 11. Michigan (31.5%); 12. Iowa (31.3%); 13. Delaware (31.1%); 14. North Dakota (31%); 15. Texas (30.9%); 16. (tie) Missouri and Ohio (30.4%); 18. Georgia (30.3%); 19. (tie) Kansas and Pennsylvania (30%); 21. South Dakota (29.9%); 22. Wisconsin (29.8%); 23. (tie) Idaho and Nebraska (29.6%); 25. (tie) Illinois and North Carolina (29.4%); 27. Maine (28.9%); 28. Alaska (28.4%); 29. Maryland (28.3%); 30. Wyoming (27.8%); 31. Rhode Island (27.3%); 32. (tie) Virginia and Washington (27.2%); 34. Arizona ...

Based on an analysis of new state-by-state data from the Centers for Disease Control and Preventions Behavioral Risk Factor Surveillance Survey, adult obesity rates by state from highest to lowest were:. Note: 1 = Highest rate of adult obesity, 51 = lowest rate of adult obesity.. 1. (tie) Mississippi and West Virginia (35.1%); 3. Arkansas (34.6%); 4. Tennessee (33.7%); 5. Kentucky (33.2%); 6. Louisiana (33.1%); 7. Oklahoma (32.5%); 8. Alabama (32.4%); 9. Indiana (31.8%); 10. South Carolina (31.7%); 11. Michigan (31.5%); 12. Iowa (31.3%); 13. Delaware (31.1%); 14. North Dakota (31%); 15. Texas (30.9%); 16. (tie) Missouri and Ohio (30.4%); 18. Georgia (30.3%); 19. (tie) Kansas and Pennsylvania (30%); 21. South Dakota (29.9%); 22. Wisconsin (29.8%); 23. (tie) Idaho and Nebraska (29.6%); 25. (tie) Illinois and North Carolina (29.4%); 27. Maine (28.9%); 28. Alaska (28.4%); 29. Maryland (28.3%); 30. Wyoming (27.8%); 31. Rhode Island (27.3%); 32. (tie) Virginia and Washington (27.2%); 34. Arizona ...

Abstract Objective. This study assessed the usefulness of the Healthy Weight Disparity Index (HWDI) to evaluate income disparities related to obesity. We compared state based body mass index (BMI) rankings with HWDI rankings. Methods. National data from the 2010 Behavioral Risk Factor Surveillance System were used to estimate mean BMI levels in each of the 50 states (plus Washington, D.C.) by income level. Income-related disparities were described with the HWDI. Kappa statistics analyzed the concordance between the two rankings. Results. State-based BMI and the HWDI rankings were not concordant. For example, Washington, D.C. was ninth for lowest mean BMI yet ranked 49th on the HWDI. West Virginia ranked 42nd and 5th, and Mississippi ranked 51st on both the BMI and HWDI, respectively. Discussion. State-based BMI and HWDI rankings present divergent perspectives on the obesity crisis. We recommend adding HWDI rankings to BMI rankings to reflect fully patterns of obesity and subgroup ...

Obesity and diabetes are major health problems in the United States. The primary aim of this study is to examine the association between obesity and diabetes and to estimate the cost of diabetes linked to obesity in the Appalachian region. A system of simultaneous equations approach, and a logit estimation are employed for the analyses. Behavioral Risk Factor Surveillance System (BRFSS) surveys for 2001 and 2009 are the main sources of data. Both county-level and individual-level data are used for the analyses. The simultaneous approach at county-level based on the changes of income, employment, obesity, and diabetes reveals that obesity increases diabetes, but diabetes does not have an effect on obesity. The counties with high initial levels of obesity had less obesity growth but more diabetes growth. Increasing income impacts negatively on diabetes growth. Logit analysis indicates that obesity significantly increases the risk of diabetes of adults in Appalachia. Besides, being employed, higher income

Led by Shivani Patel, PhD, researcher in the Hubert Department of Global Health at Rollins School of Public Health, the team studied data from the Behavioral Risk Factor Surveillance System (BRFSS) national surveys from 2009 to 2010. The goal was to determine the extent to which national cardiovascular mortality could be expected to decrease if all states were successful at reducing those risk factor levels to specified target levels.. Cardiovascular disease remains a leading cause of death nationally. The top five leading preventable risk factors for heart disease are elevated cholesterol, diabetes, hypertension, obesity and smoking. The fraction of cardiovascular deaths that could have been prevented in 2009 to 2010 were reported under two scenarios: complete elimination of risk factors, and a more realistic goal of reduction of risk factors to the best achieved levels in U.S. states in 2009-2010.. Findings suggest that about half of deaths could be prevented if the modifiable risk factors ...

Provides access to data from the Behavioral Risk Factor Surveillance System (BRFSS) about average daily frequency of fruit and vegetable consumption through 2009. User can view prevalence and trends by selecting the state, year, and Fruits and Vegetables category from drop-down menus. ...

The obesity rate in the United States has risen significantly in the past few decades. While a number of economic causes for the rise in obesity have been explored, little attention has been on the role of health insurance per se. This paper examines obesity in the context of a model where health insurance status can influence body weight. We attempt to isolate the effects of ex ante moral hazard, where people with health insurance may change their behaviors towards weight control. We use data from the Behavioral Risk Factor Surveillance System from 1993 to 2002 to determine the potential effect of having health insurance on measures of body weight. In our analyses, we control for a variety of confounding factors that may influence body weight and address the endogenous nature of health insurance. Our results show evidence that having insurance is associated with higher body mass (particularly for those above the poverty threshold) and an increased probability of being overweight. However, we ...

Carbon monoxide (CO) is a colorless, odorless gas that can be detected by a CO detector in the home. Acute CO poisoning in pregnancy has been associated with increased maternal (18-24%) and fetal (36-67%) mortality [1]. Accidental household exposure to CO is the most frequent cause of poisoning in pregnancy [1]. From 2012-2013, 53.7% of women in South Carolina (SC) reported their pregnancy was unintended (29.0% mistimed; 8.4% unwanted; 16.3% unsure) [2]. Due to the high fetal mortality rate associated with CO exposure and high incidence of unintended pregnancy in SC, we investigated associations between CO detector presence in the residence and demographic characteristics of reproductive aged (18-44 years old) women in SC using data from the Behavioral Risk Factor Surveillance System (BRFSS).. ...

The maps and table below display the percentage of adults who have not received dental cleanings for more than one year and for more than two years in each county. The 2007 through 2009 data were retrieved from the Illinois State Department of Public Health. The data come from the Behavioral Risk Factor Surveillance System, a survey designed by the Centers for Disease Control and Prevention (CDC) and conducted by individual states.. ...

Abstract Introduction: In 2011, the Centers for Disease Control and Prevention for the first time ever collected nationally representative prevalence data on chronic obstructive pulmonary disease (COPD), spirometry diagnosis, and healthcare utilization factors related to COPD. This research reports on that data and describes characteristics of adults with COPD who reported diagnosis by spirometry compared to those who did not report diagnosis by spirometry. Variables examined included basic elements of healthcare utilization such as emergency room visits, hospitalization or personal physician utilization. Methods: This is a cross-sectional study using novel data from the 2011 Behavioral Risk Factor Surveillance System COPD Module. Weighted multivariable logistic regression examined factors associated with (n = 13,484) and without spirometry (n = 3,131). Results: Spirometry to diagnose COPD was reported by 78% of adults and increased with age. In multivariable modeling, spirometry was more likely ...

During the 2000s, The Fraction of the Population That is Overweight or Obese Has Greatly Increased Source: Behavioral Risk Factor Surveillance System, CDC (*BMI 30, or ~ 30 lbs. overweight for 5 4 person)

California Behavioral Risk Factor Surveillance (BRFSS) Update. This webinar introduces the CSUS Public Health Survey Research Program, its staff, mission, and services. In addition, it provides an overview of the BRFSS, a summary of the types of data that have been collected over its nearly 30-year history, and how California has used the data collected by the BRFSS. Participants will learn how they can access BRFSS data as well as how to they can include questions on future surveys. (June 2015) ...

The Berrien County Behavioral Risk Factor Survey (BRFS) is a telephone survey conducted every three years of Berrien County residents ages 18 years and older.

Behavioral risk factor profiles by ethnicity help emphasize priorities of health promotion programs for a community. Latino needs include maintenance of limited consumption of alcohol and cigarettes, promotion of regular physical activity, and increasing use of low-cost cervical and breast cancer sc …

National risk factors surveys present very important tool for gathering population based health related information for policy. Croatian Adult Health Survey (CAHS) is such a tool, intended to collect population-based, representative and...

MB_Category: The Mesh Block Category (MB_Category) attribute is a field based on planning/zoning scheme data provided by each state/territory. The ABS consolidated the files for each state/territory then mapped the land uses to a highly generalised set of land uses. The ABS acknowledges that this planning data represents a planned land use and there will be many cases where actual land use is quite different to the planned land use. The Mesh Block category shown in the Mesh Blocks boundary dataset is not designed to provide a definitive land use mapping, it is purely an indicator of the main planned land use for a Mesh Block ...

2011-2017. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. BRFSS Survey Data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. The data for the STATE System were extracted from the annual BRFSS surveys from participating states. Tobacco topics included are cigarette and e-cigarette use prevalence by demographics, cigarette and e-cigarette use frequency, and quit attempts. NOTE: these data are not to be compared with BRFSS data collected 2010 and prior, as the methodologies were changed. Please refer to the FAQs / Methodology sections for more details ...

2011-2018. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. BRFSS Survey Data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. The data for the STATE System were extracted from the annual BRFSS surveys from participating states. Tobacco topics included are cigarette and e-cigarette use prevalence by demographics, cigarette and e-cigarette use frequency, and quit attempts. NOTE: these data are not to be compared with BRFSS data collected 2010 and prior, as the methodologies were changed. Please refer to the FAQs / Methodology sections for more details ...

2011-2018. Centers for Disease Control and Prevention (CDC). State Tobacco Activities Tracking and Evaluation (STATE) System. BRFSS Survey Data. The BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. The data for the STATE System were extracted from the annual BRFSS surveys from participating states. Tobacco topics included are cigarette and e-cigarette use prevalence by demographics, cigarette and e-cigarette use frequency, and quit attempts. NOTE: these data are not to be compared with BRFSS data collected 2010 and prior, as the methodologies were changed. Please refer to the FAQs / Methodology sections for more details ...

are NOT comparable to 2010 and earlier years. ***The estimate was suppressed because it did not meet statistical reliability standards. See BRFSS 2016 Annual Results Technical Notes for more details. 1Disability Status will be replaced by Functional Disability in 2017. Please see the BRFSS 2016 Annual Results Technical Notes for details. 2Based on the North Carolina Rural Center s classification. Please see the BRFSS 2016 Annual Results Technical Notes for details. 3Based on 2016 U.S Census Bureau poverty threshold incomes. Please see the BRFSS 2016 Annual Results Technical Notes for details. 4NC Dept. of Commerce County Tier Classification, based on respondent s county of residence ...

The Maine Health Management Coalition is seeking participation of primary care practices in Phase II of its Office System Survey. The initiative is now called Pathways to Excellence, (it was formerly called, Informing Patients, Rewarding Providers). The goal of the project is to recognize and reward systemic, best practice, chronic disease care management in primary care. The Coalition is an organization of 32 employers that includes large businesses, public employers, hospitals, health plans and physician groups. Collectively, these employers provide health benefits to over 250,000 people in Maine.. Early in April, each primary care practice should receive a letter from the Coalition, soliciting participation. Each practice will be asked to complete an online survey for each practice location in the organization. The survey consists of eight sections and is expected to take approximately 30 minutes to complete. Surveys must be completed and submitted electronically by June 1, 2004 in order ...

A Special Feature on 150 of the nations largest hospital and healthcare systems. Source: Modern Healthcares 37th annual Hospital Systems Survey. Published June 24, 2013, p. 26.

(2003) Mandell. American Journal of Pathology. Until recently, the investigation of protein phosphorylation was limited to biochemical studies of enzyme activities in homogenized tissues. The availability of hundreds of phosphorylation state-specific antibodies (PSSAs) now makes possible the stud...

A study of more than 150,000 adults in the U.S. found that wanting to lose weight was as important in predicting the amount of days people were ill as their weight itself. People who wanted to weigh less were more likely to be mentally or physically unhealthy than people of the same weight who were content with their body image. After controlling for actual BMI and age the researchers found that men who wished to lose 1, 10 and 20% of their body weight respectively reported 0.1, 0.9 and 2.7 more unhealthy days per month than those who were happy with their weight. Among women the corresponding increase in numbers of reported unhealthy days was 0.1, 1.6 and 4.3. People who were happy with their weight experienced fewer physically unhealthy days and fewer mentally unhealthy days than those unhappy with their weight ...