Asthma control and associated risk factors among adults with current asthma: Findings from 2019 behavioral risk factor surveillance system asthma call-back survey.

BACKGROUND: Despite the availability of effective treatments, many adults with asthma have uncontrolled asthma. Uncontrolled asthma can lead to severe exacerbations. This study aimed to determine the prevalence and predictors of uncontrolled asthma among adults (≥18 years) with current asthma in the United States. METHODS: We analyzed the 2019 Behavior Risk Factor Surveillance System Asthma Call-Back Survey data from 27 states. Asthma control status was classified as "well-controlled" or "uncontrolled" according to the National Asthma Education and Prevention guidelines. The study population consisted of 7937 adults (weighted n = 13,793,220) with current asthma. We used multivariable logistic regression models to identify predictors of uncontrolled asthma. RESULTS: Overall, 62 % of adults with asthma reported having uncontrolled asthma, and 26 % had emergency or urgent care visits or hospitalizations in the past year. Potentially modifiable risk factors associated with uncontrolled asthma included cost barriers to asthma-related healthcare (OR = 2.94; 95%CI 1.96-4.40), complementary and alternative medicine use (OR = 1.84; 95%CI 1.45-2.32), current smoking (OR = 2.25; 95%CI 1.48-3.44), obesity (OR = 1.39; 95%CI 1.02-1.89), COPD (OR = 1.98; 95%CI 1.43-2.74), depression (OR = 1.47; 95%CI 1.16-1.88), fair/poor general health (OR = 1.54; 95%CI 1.14-2.07), household income <$15,000 (OR = 2.59; 95%CI 1.42-4.71), and less than high school education (OR = 2.59; 95%CI 1.42-4.71). Non-modifiable risk factor was Hispanic ethnicity (OR = 1.73; 95%CI 1.09-2.73). CONCLUSION: Our findings suggest that uncontrolled asthma is common among adults and can be impacted by several factors. Effective asthma control programs are needed to improve asthma management and reduce unnecessary healthcare utilization.

State-Level Social Vulnerability Index and Healthcare Access in Patients With Atherosclerotic Cardiovascular Disease (from the BRFSS Survey).

We analyzed the association between social vulnerability index (SVI) and healthcare access among patients with atherosclerotic cardiovascular disease (ASCVD). Using cross-sectional data from the Behavioral Risk Factor Surveillance System 2016 to 2019, we identified measures related to healthcare access in individuals with ASCVD, which included healthcare coverage, presence of primary care clinician, duration since last routine checkup, delay in access to healthcare, inability to see doctor because of cost, and cost-related medication nonadherence. We analyzed the association of state-level SVI (higher SVI denotes higher social vulnerability) and healthcare access using multivariable-adjusted logistic regression models. The study population comprised 203,347 individuals aged 18 years or older who reported a history of ASCVD. In a multivariable-adjusted analysis, prevalence odds ratios (95% confidence interval) for participants residing in states in the third tertile of SVI compared with those in the first tertile (used as reference) were as follows: absence of healthcare coverage = 1.03 (0.85 to 1.24), absence of primary care clinician = 1.33 (1.12 to 1.58), >1 year since last routine checkup = 1.09 (0.96 to 1.23), delay in access to healthcare = 1.39 (1.18, 1.63), inability to see a doctor because of cost = 1.21 (1.06 to 1.40), and cost-related medication nonadherence = 1.10 (0.83 to 1.47). In conclusion, SVI is associated with healthcare access in those with pre-existing ASCVD. Due to the ability of SVI to simultaneously and holistically capture many of the factors of social determinants of health, SVI can be a useful measure for identifying high-risk populations.

Progress in Cancer Control in Maryland: 1985-2015.

PURPOSE: Maryland historically had a high cancer burden, which prompted the implementation of aggressive cancer control strategies. We examined the status of cancer in Maryland and work under the current and previous editions of the MD Comprehensive Cancer Control Plan. METHODS: We examined the prevalence of cancer mortality, cancer incidence, and cancer-related behaviors in Maryland and the United States from 1985 to 2015 using publicly available data in the US Cancer Control PLANET, CDC WONDER, and Behavioral Risk Factor Surveillance System portals. We estimated the average annual cancer deaths avoided by triangulation. RESULTS: In 1983-1987, Maryland had the highest age-adjusted cancer mortality rate of all 50 states, second only to Washington, District of Columbia. Today (2011-2015), Maryland's age-adjusted cancer mortality rate ranks 31st. Overall cancer mortality rates have declined 1.9% annually from 1990 to 2015, avoiding nearly 60 000 deaths over 3 decades. While the prevalence of healthy cancer-related behaviors in Maryland was qualitatively similar or higher than that of the United States in 2015, Maryland's 5-year (2011-2015) cancer incidence rate was significantly greater than that of the United States. CONCLUSIONS: Maryland's 30-year cancer mortality declines have outpaced other states. However, a reduction in mortality while incidence rates remain high indicates a need for enhanced focus on primary prevention.

A Bivariate Mapping Tutorial for Cancer Control Resource Allocation Decisions and Interventions.

Bivariate choropleth mapping is a straightforward but underused method for displaying geographic health information to use in public health decision making. Previous studies have recommended this approach for state comprehensive cancer control planning and similar efforts. In this method, 2 area-level variables of interest are mapped simultaneously, often as overlapping quantiles or by using other classification methods. Variables to be mapped may include area-level (eg, county level) measures of disease burden, health care use, access to health care services, and sociodemographic characteristics. We demonstrate how geographic information systems software, specifically ArcGIS, can be used to develop bivariate choropleth maps to inform resource allocation and public health interventions. We used 2 types of county-level public health data: South Carolina's Behavioral Risk Factor Surveillance System estimates of ever having received cervical cancer screening, and a measure of availability of cervical cancer screening providers that are part of South Carolina's Breast and Cervical Cancer Early Detection Program. Identification of counties with low screening rates and low access to care may help inform where additional resources should be allocated to improve access and subsequently improve screening rates. Similarly, identifying counties with low screening rates and high access to care may help inform where educational and behavioral interventions should be targeted to improve screening in areas of high access.

A National Survey of Marijuana Use Among US Adults With Medical Conditions, 2016-2017.

Importance: The number of states legalizing marijuana for medical and recreational use is increasing. Little is known regarding how or why adults with medical conditions use it. Objectives: To report the prevalence and patterns of marijuana use among adults with and without medical conditions, overall and by sociodemographic group, and to further examine the associations between current marijuana use and the types and number of medical conditions. Design, Setting, and Participants: This survey study used a probability sample of US adults aged 18 years and older from the 2016 and 2017 Behavioral Risk Factor Surveillance System, a telephone-administered survey that collects data from a representative sample of US adult residents across the states regarding health-related risk behaviors, chronic health conditions, and use of preventive services. Main Outcomes and Measures: Current (past month) and daily (≥20 days in the last 30 days) marijuana use. Results: The study sample included 169 036 participants (95 780 female [weighted percentage, 52.0%]). Adults with medical conditions had higher odds of reporting current marijuana use than those without medical conditions (age 18-34 years: adjusted odds ratio, 1.8 [95% CI, 1.5-2.1]; age 35-54 years: adjusted odds ratio, 1.4 [95% CI, 1.2-1.7]; age ≥55 years: adjusted odds ratio, 1.6 [95% CI, 1.3-2.0]), especially among those with asthma, chronic obstructive pulmonary disease, arthritis, cancer, and depression. Among those with medical conditions, the prevalence of marijuana use decreased with increasing age, ranging from 25.2% (95% CI, 22.0%-28.3%) for those aged 18 to 24 years to 2.4% (95% CI, 2.0%-2.8%) for those aged 65 years or older for current marijuana use and from 11.2% (95% CI, 8.7%-13.6%) to 0.9% (95% CI, 0.7%-1.2%), respectively, for daily marijuana use. Most adults who used marijuana (77.5%; 95% CI, 74.7%-80.3%), either with or without medical conditions, reported smoking as their primary method of administration. Adults with medical conditions were more likely than those without medical conditions to report using marijuana for medical reasons (45.5% [95% CI, 41.1%-49.8%] vs 21.8% [95% CI, 17.8%-25.7%]; difference, 23.7% [95% CI, 17.8%-29.6%]) and less likely to report using marijuana for recreational purposes (36.2% [95% CI, 32.1%-40.3%] vs 57.7% [95% CI, 52.6%-62.9%]; difference, -21.5% [95% CI, -28.1% to 14.9%]). Conclusions and Relevance: This study found that marijuana use was more common among adults with medical conditions than those without such conditions. Notably, 11.2% of young adults with medical conditions reported using marijuana on a daily basis. Clinicians should screen for marijuana use among patients, understand why and how patients are using marijuana, and work with patients to optimize outcomes and reduce marijuana-associated risks.

Utah Cancer Survivors: A Comprehensive Comparison of Health-Related Outcomes Between Survivors and Individuals Without a History of Cancer.

Assessments of cancer survivors' health-related needs are often limited to national estimates. State-specific information is vital to inform state comprehensive cancer control efforts developed to support patients and providers. We investigated demographics, health status/quality of life, health behaviors, and health care characteristics of long-term Utah cancer survivors compared to Utahans without a history of cancer. Utah Behavioral Risk Factor Surveillance System (BRFSS) 2009 and 2010 data were used. Individuals diagnosed with cancer within the past 5 years were excluded. Multivariable survey weighted logistic regressions and computed predictive marginals were used to estimate age-adjusted percentages and 95 % confidence intervals (CI). A total of 11,320 eligible individuals (727 cancer survivors, 10,593 controls) were included. Respondents were primarily non-Hispanic White (95.3 % of survivors, 84.1 % of controls). Survivors were older (85 % of survivors ≥40 years of age vs. 47 % of controls). Survivors reported the majority of their cancer survivorship care was managed by primary care physicians or non-cancer specialists (93.5 %, 95 % CI = 87.9-99.1). Furthermore, 71.1 % (95 % CI = 59.2-82.9) of survivors reported that they did not receive a cancer treatment summary. In multivariable estimates, fair/poor general health was more common among survivors compared to controls (17.8 %, 95 % CI = 12.5-23.1 vs. 14.2 %, 95 % CI = 12.4-16.0). Few survivors in Utah receive follow-up care from a cancer specialist. Provider educational efforts are needed to promote knowledge of cancer survivor issues. Efforts should be made to improve continuity in follow-up care that addresses the known issues of long-term survivors that preclude optimal quality of life, resulting in a patient-centered approach to survivorship.

Leveraging Health-Related Quality of Life in Population Health Management: The Case for Healthy Days.

Measuring population health with morbidity and mortality data, often collected at the site of care, fails to capture the individual's perspective on health and well-being. Because health happens outside the walls of medical facilities, a holistic and singular measure of health that can easily be captured for an entire population could aid in understanding the well-being of communities. This paper postulates that Healthy Days, a health-related quality of life measure developed and validated by the Centers for Disease Control and Prevention, is an ideal survey instrument to advance population health. A systematic literature review was conducted and revealed a strong evidence base using Healthy Days with significant correlations to chronic disease conditions. Building on the literature base and experience, methods for analyzing Healthy Days data are discussed, including stratified sampling techniques, statistical measures to account for variance, and modeling techniques for skewed distributions. Using such analytic techniques, Healthy Days has been used extensively in national health surveillance. As the health care system faces increasing costs and constrained resources, the Healthy Days survey instrument can be used to inform public policies and allocate health service resources. Because Healthy Days captures broad dimensions of health from the individual's perspective, it is a simple way to holistically measure the health and well-being of a population and its trend over time. Expanded use of Healthy Days can aid population health managers and contribute to the understanding of the broader determinants of the nation's and individual community's health and aid in evaluating progress toward health goals.

Association Between Maternal Multivitamin Use and Preterm Birth in 24 States, Pregnancy Risk Assessment Monitoring System, 2009-2010.

Objectives The study objective was to examine the prevalence of maternal multivitamin use and associations with preterm birth (<37 weeks gestation) in the United States. We additionally examined whether associations differed by race/ethnicity. Methods Using the Pregnancy Risk Assessment Monitoring System, we analyzed 2009-2010 data among women aged ≥18 years with a singleton live birth who completed questions on multivitamin use 1 month prior to pregnancy (24 states; n = 57,348) or in the last 3 months of pregnancy (3 states, n = 5095). Results In the month prior to pregnancy, multivitamin use ≥4 times/week continued to remain low (36.8 %). In the last 3 months of pregnancy, 79.6 % of women reported using multivitamins ≥4 times/week. Adjusting for confounders, multivitamin use 1-3 times/week or ≥4 times/week prior to pregnancy was not associated with preterm birth overall. Though there was no evidence of dose response, any multivitamin use in the last 3 months of pregnancy was associated with a significant reduction in preterm birth among non-Hispanic black women. Conclusions for Practice Multivitamin use during pregnancy may help reduce preterm birth, particularly among populations with the highest burden, though further investigations are warranted.

Associations of Self-Reported Cigarette Smoking with Chronic Obstructive Pulmonary Disease and Co-Morbid Chronic Conditions in the United States.

BACKGROUND: The question of how smoking, COPD, and other chronic diseases are related remains unresolved. Therefore, we examined relationships between smoking, COPD, and 10 other chronic diseases and assessed the prevalence of co-morbid chronic conditions among people with COPD. METHODS: We analyzed cross-sectional data from 405,856 US adults aged 18 years or older in the 2011 Behavioral Risk Factor Surveillance System. We used log-linear regression to estimate prevalence ratios (PRs) and their corresponding 95% confidence intervals (CIs) for these relationships adjusting for age, gender, race/ethnicity, marital status, educational attainment, annual household income, and health insurance coverage. RESULTS: Overall, 17.5% reported being current cigarette smokers, 6.9% reported having COPD, and 71.2% reported another chronic condition. After age-adjustment, prevalence of COPD was 14.1% (adjusted PR = 3.9; 95% CI: 3.7, 4.1) among current smokers and 7.1% (adjusted PR = 2.5; 95% CI: 2.4, 2.7) among former smokers compared to 2.9% among never smokers. The most common chronic conditions among current smokers after age-adjustment were high cholesterol (36.7%), high blood pressure (34.6%), arthritis (29.4%), depression (27.4%), and asthma (16.9%). In separate multivariable models, smoking and COPD were associated with each of the 10 other chronic conditions (p < 0.05), which also included cancer, coronary heart disease, diabetes, kidney disease, and stroke; COPD modified associations between smoking and co-morbidities, while smoking did not modify associations between COPD and co-morbidities. CONCLUSIONS: Our findings confirm previous evidence and highlight the continuing importance of comprehensive care coordination for people with COPD and co-morbid chronic conditions and also tobacco prevention and control strategies.

Complementary and alternative medicine use among people with asthma and health-related quality of life.

OBJECTIVE: This study investigated the relationship between complementary and alternative medicine (CAM) use and self-reported health-related quality of life among people with asthma. METHOD: Data from the 2010 Behavioral Risk Factor Surveillance System (BRFSS) survey and the 2010 Asthma Callback Survey (ACBS) were used. Survey respondents were men and women with asthma who were 18-99 years of age who responded to both surveys. RESULTS: CAM use was associated with an increase in the number of days of poor mental health (OR = 1.02, 95% CI 1.02, 1.03) and poor physical health (OR = 1.02, 95% CI 1.01, 1.02). The odds ratios are adjusted for covariates such as asthma severity, age, sex, race/ethnicity, income, and educational attainment. CAM users report more days of poor mental health (7.2 versus 4.6) and poor physical health (9.6 versus 6.5) compared with those not using CAM therapies. CONCLUSIONS: Contrary to the hypotheses, CAM use is associated with poorer health-related quality of life. Implications for research and practice are discussed in detail.

Alcohol control efforts in comprehensive cancer control plans and alcohol use among adults in the USA.

AIMS: To understand how US cancer control plans address alcohol use, an important but frequently overlooked cancer risk factor, and how many US adults are at risk. METHODS: We reviewed alcohol control efforts in 69 comprehensive cancer control plans in US states, tribes and jurisdictions. Using the 2011 Behavioral Risk Factor Surveillance System, we assessed the prevalence of current alcohol use among US adults and the proportion of these drinkers who exceeded guidelines for moderate drinking. RESULTS: Most comprehensive cancer control plans acknowledged alcohol use as a cancer risk factor but fewer than half included a goal, objective or strategy to address alcohol use. More than half of US adults reported current alcohol use in 2011, and two of three drinkers exceeded moderate drinking guidelines at least once in the past month. Many states that did not address alcohol use in comprehensive cancer control plans also had a high proportion of adults at risk. CONCLUSION: Alcohol use is a common cancer risk factor in the USA, but alcohol control strategies are not commonly included in comprehensive cancer control plans. Supporting the implementation of evidence-based strategies to prevent the excessive use of alcohol is one tool the cancer control community can use to reduce the risk of cancer.

Impact of school-based health promotion interventions aimed at different behavioral domains: a systematic review / Impacto de las intervenciones escolares de promoción de la salud dirigidas a diferentes áreas de conducta: una revisión sistemática

Objective. Given that lifestyleshave similar determinants and that school-based interventions are usually targeted at all the risks that affect adolescents, the objective of this systematic review was to summarize the characteristics and effects of school-based interventions acting on different behavioral domains of adolescent health promotion. Methods. The review process was conducted by two independent reviewers who searched PubMed, Scopus, PsycINFO, and ERIC databases for experimental or observational studies with at least two measures of results published from 2007 to 2011, given that the research information available doubles every 5 years. Methodological quality was assessed with a standardized tool. Results. Information was extracted from 35 studies aiming to prevent risk behaviors and promote healthy nutrition, physical activity, and mental and holistic health. Activities were based on theoretical models and were classified into interactive lessons, peer mediation, environmental changes, parents’ and community activities, and tailored messages by computer-assisted training or other resources, usually including multiple components. In some cases, we identified some moderate to large, short- and long-term effects on behavioral and intermediate variable. Conclusions. This exhaustive review found that well-implemented interventions can promote adolescent health. These findings are consistent with recent reviews. Implications for practice, public health, and research are discussed (AU)

Objetivo. Dado que los estilos de vida tienen similares determinantes, y las intervenciones escolares suelen estar dirigidas a todos los riesgos que aparecen durante la adolescencia, el objetivo de esta revisión sistemática ha sido resumir las características y los efectos de intervenciones escolares de promoción de la salud dirigidas a diferentes áreas de conducta. Métodos. La revisión se realizó por dos evaluadores que independientemente realizaron una búsqueda en las bases de datos PubMed, Scopus, PsycINFO, y ERIC, de estudios observacionales y experimentales con al menos dos medidas de resultados, publicados entre 2007 y 2011, pues la información científica disponible se duplica cada cinco años. La calidad metodológica se evaluó con herramientas estandarizadas. Resultados. Se recogió información de 35 estudios dirigidos a promover la nutrición saludable y la actividad física, promover la salud mental y holística,y prevenir conductas de riesgo. Las actividades se basaron en distintos modelos teóricos y se calificaron en lecciones interactivas, mediación por pares, cambios ambientales, actividades con padres y comunidad, atención "a medida" asistida por el ordenador u otros recursos, con frecuencia incluyeron múltiples componentes. En algunos casos, se encontraron de moderado a largos efectos, a corto y largo plazo sobre variables comportamentales e intermedias. Conclusiones. La fortaleza de esta revisión es que se ha llevado a cabo de modo exhaustivo, y apunta a que intervenciones bien implementadas pueden promover la salud adolescente. Los hallazgos son consistentes con revisiones recientes, y sus implicaciones para la práctica, la salud pública, y la investigación han sido discutidos (AU)

Using systems science for population health management in primary care.

OBJECTIVES: Population health management is becoming increasingly important to organizations managing and providing primary care services given ongoing changes in health care delivery and payment systems. The objective of this study is to show how systems science methodologies could be incorporated into population health management to compare different interventions and improve health outcomes. METHODS: The New York Academy of Medicine Cardiovascular Health Simulation model (an agent-based model) and data from the Behavioral Risk Factor Surveillance System were used to evaluate a lifestyle program that could be implemented in primary care practice settings. The program targeted Medicare-age adults and focused on improving diet and exercise and reducing weight. RESULTS: The simulation results suggest that there would be significant reductions projected in the proportion of the Medicare-age population with diabetes after the implementation of the proposed lifestyle program for a relatively long term (3 and 5 years). Similar results were found for the subpopulations with high cholesterol, but the proposed intervention would not have a significant effect in the proportion of the population with hypertension over a time period of <5 years. CONCLUSIONS: Systems science methodologies can be useful to compare the health outcomes of different interventions. These tools can become an important component of population health management because they can help managers and other decision makers evaluate alternative programs in primary care settings.

Core state preconception health indicators - pregnancy risk assessment monitoring system and behavioral risk factor surveillance system, 2009.

PROBLEM/CONDITION: Promoting preconception health can potentially improve women's health and pregnancy outcomes. Evidence-based interventions exist to reduce many maternal behaviors and chronic conditions that are associated with adverse pregnancy outcomes such as tobacco use, alcohol use, inadequate folic acid intake, obesity, hypertension, and diabetes. The 2006 national recommendations to improve preconception health included monitoring improvements in preconception health by maximizing public health surveillance (CDC. Recommendations to improve preconception health and health care-United States: a report of the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care. MMWR 2006;55[No. RR-6]). REPORTING PERIOD COVERED: 2009 for 38 indicators; 2008 for one indicator. DESCRIPTION OF SURVEILLANCE SYSTEMS: The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing state- and population-based surveillance system designed to monitor selected self-reported maternal behaviors, conditions, and experiences that occur shortly before, during, and after pregnancy among women who deliver live-born infants. The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing state-based telephone survey of noninstitutionalized adults aged ≥18 years in the United States that collects state-level data on health-related risk behaviors, chronic conditions, and preventive health services. This surveillance summary includes PRAMS data from 29 reporting areas (n = 40,388 respondents) and BRFSS data from 51 reporting areas (n = 62,875 respondents) for nonpregnant women of reproductive age (aged 18-44 years). To establish a comprehensive, nationally recognized set of indicators to be used for monitoring, evaluation, and response, a volunteer group of policy and program leaders and epidemiologists identified 45 core state preconception health indicators, of which 41 rely on PRAMS or BRFSS as data sources. This report includes 39 of the 41 core state preconception health indicators for which data are available through PRAMS or BRFSS. The two indicators from these data sources that are not described in this report are human immunodeficiency virus (HIV) testing within a year before the most recent pregnancy and heavy drinking on at least one occasion during the preceding month. Ten preconception health domains are examined: general health status and life satisfaction, social determinants of health, health care, reproductive health and family planning, tobacco and alcohol use, nutrition and physical activity, mental health, emotional and social support, chronic conditions, and infections. Weighted prevalence estimates and 95% confidence intervals (95% CIs)for 39 indicators are presented overall and for each reporting area and stratified by age group (18-24, 25-34, and 35-44 years) and women's race/ethnicity (non-Hispanic white, non-Hispanic black, non-Hispanic other, and Hispanic). RESULTS: This surveillance summary includes data for 39 of 41 indicators: 2009 data for 23 preconception health indicators that were monitored by PRAMS and 16 preconception health indicators that were monitored by BRFSS (one BRFSS indicator uses 2008 data). For two of the indicators that are included in this report (prepregnancy overweight or obesity and current overweight or obesity), separate measures of overweight and obesity were reported. All preconception health indicators varied by reporting area, and most indicators varied significantly by age group and race/ethnicity. Overall, 88.9% of women of reproductive age reported good, very good, or excellent general health status and life satisfaction (BRFSS). A high school/general equivalency diploma or higher education (social determinants of health domain) was reported by 94.7% of non-Hispanic white, 92.9% of non-Hispanic other, 91.1% of non-Hispanic black, and 70.9% of Hispanic women (BRFSS). Overall, health-care insurance coverage during the month before the most recent pregnancy (health-care domain) was 74.9% (PRAMS). A routine checkup during the preceding year was reported by 79.0% of non-Hispanic black, 65.1% of non-Hispanic white, 64.3% of other, and 63.0% of Hispanic women (BRFSS). Among women with a recent live birth (2-9 months since date of delivery), selected PRAMS results for the reproductive health and family planning, tobacco and alcohol use, and nutrition domains included several factors. Although 43% of women reported that their most recent pregnancy was unintended (unwanted or wanted to be pregnant later), approximately half (53%) of those who were not trying to get pregnant reported not using contraception at the time of conception. Smoking during the 3 months before pregnancy was reported by 25.1% of women, and drinking alcohol 3 months before pregnancy was reported by 54.2% of women. Daily use of a multivitamin, prenatal vitamin, or a folic acid supplement during the month before pregnancy was reported by 29.7% of women. Selected BRFSS results included indicators pertaining to the nutrition and physical activity, emotional and social support, and chronic conditions domains among women of reproductive age. Approximately one fourth (24.7%) of women were identified as being obese according to body mass index (BMI) on the basis of self-reported height and weight. Overall, 51.6% of women reported participation in recommended levels of physical activity per U.S. Department of Health and Human Services physical activity guidelines. Non-Hispanic whites reported the highest prevalence (85.0%) of having adequate emotional and social support, followed by other races/ethnicities (74.9%), Hispanics (70.5%), and non-Hispanic blacks (69.7%). Approximately 3.0% of persons reported ever being diagnosed with diabetes, and 10.2% of women reported ever being diagnosed with hypertension. INTERPRETATION: The findings in this report underscore opportunities for improving the preconception health of U.S. women. Preconception health and women's health can be improved by reducing unintended pregnancies, reducing risky behaviors (e.g., smoking and drinking) among women of reproductive age, and ensuring that chronic conditions are under control. Evidence-based interventions and clinical practice guidelines exist to address these risks and to improve pregnancy outcomes and women's health in general. The results also highlight the need to increase access to health care for all nonpregnant women of reproductive age and the need to encourage the use of essential preventive services for women, including preconception health services. In addition, system changes in community settings can alleviate health problems resulting from inadequate social and emotional support and environments that foster unhealthy lifestyles. Policy changes can promote health equity by encouraging environments that promote healthier options in nutrition and physical activity. Finally, variation in the preconception health status of women by age and race/ethnicity underscores the need for implementing and scaling up proven strategies to reduce persistent health disparities among those at highest risk. Ongoing surveillance and research in preconception health are needed to monitor the influence of improved health-care access and coverage on women's prepregnancy and interpregnancy health status, pregnancy and infant outcomes, and health disparities. PUBLIC HEALTH ACTION: Public health decision makers, program planners, researchers, and other key stakeholders can use the state-level PRAMS and BRFSS preconception health indicators to benchmark and monitor preconception health among women of reproductive age. These data also can be used to evaluate the effectiveness of preconception health state and national programs and to assess the need for new programs, program enhancements, and policies.

Religion and health in African Americans: the role of religious coping.

OBJECTIVES: To test a model of the religion-health connection to determine whether religious coping plays a mediating role in health behaviors in a national sample of African Americans. METHODS: Participants completed a telephone survey (N = 2370) assessing religious involvement, religious coping, health behaviors, and demographics. RESULTS: Religious beliefs were associated with greater vegetable consumption, which may be due to the role of positive and negative religious coping. Negative religious coping played a role in the relationship between religious beliefs and alcohol consumption. There was no evidence of mediation for fruit consumption, alcohol use in the past 30 days, or smoking. CONCLUSIONS: Findings have implications for theory and health promotion activities for African Americans.

Complementary and alternative medicine use and asthma: relation to asthma severity and comorbid chronic disease.

OBJECTIVE: To determine (a) the prevalence of complementary and alternative medicine (CAM) use among people with asthma, and (b) if comorbid chronic disease and asthma severity are associated with CAM use. METHODS: This cross-sectional study utilized data from n = 15 276 adults who participated in the 2009 Behavioral Risk Factor Surveillance System (BRFSS) and the 2009 Asthma Callback Survey (ACBS). Binary Logistic regression was used to determine if comorbid disease and asthma severity were associated with CAM use (yes/no). Model covariates were age, sex, income, and education. RESULTS: About 26% of respondents report using at least one form of CAM. The most frequently reported form of CAM use is breathing exercises (19.8%). The results indicate that neither comorbid cardiovascular disease, diabetes, nor stroke are related to CAM use, but individuals with more severe asthma symptoms were more likely to use CAM (OR = 1.05, 95% CI 1.04, 1.05). CONCLUSIONS: CAM remedies most often reported by people with asthma (breathing techniques, vitamins) are unlikely to pose safety risks. Comorbid chronic disease does not motivate people with asthma to seek unconventional remedies. The increase in CAM use with asthma severity prompts questions about factors that might drive this behavior, such as untreated/inadequately treated disease, or medication side effects.

Using current smoking prevalence to project lung cancer morbidity and mortality in Georgia by 2020.

INTRODUCTION: Tobacco use is the leading preventable cause of disease and premature death in the United States. In Georgia, approximately 18% of adults smoke cigarettes, and 87% of men's lung cancer deaths and 70% of women's lung cancer deaths are due to smoking. From 2004-2008, the age-adjusted lung cancer incidence rate in Georgia was 112.8 per 100,000 population, and the mortality rate was 88.2 per 100,000 population. METHODS: The Georgia Behavioral Risk Factor Surveillance System Survey was used to estimate trends in current adult smoking prevalence (1985-2010). Georgia smoking-attributable cancer mortality was estimated using a method similar to the Centers for Disease Control and Prevention's Smoking-Attributable Morbidity, Mortality, and Economic Costs application. Data on cancer incidence (1998-2008) were obtained from the Georgia Comprehensive Cancer Registry, and data on cancer deaths (1990-2007) were obtained from the Georgia Department of Public Health Vital Records Program. RESULTS: From 1985 through 1993, the prevalence of smoking among Georgians declined by an average of 3% per year in men and 0.2% in women. From 2001 through 2008, lung cancer incidence rates declined in men and increased in women. Lung cancer mortality rates declined in men and women from 2000 through 2007. By 2020, Georgia lung cancer incidence rates are projected to decrease for men and increase for women. Lung cancer mortality is projected to decrease for both men and women. CONCLUSION: The lung cancer mortality rates projected in this study are far from meeting the Healthy People 2020 goal (46 per 100,000 population). Full implementation of comprehensive tobacco-use control programs would significantly reduce tobacco-use-related morbidity and mortality.

Developing an integrated strategy to reduce ethnic and racial disparities in the delivery of clinical preventive services for older Americans.

OBJECTIVES: To determine the optimum strategy for increasing up-to-date (UTD) levels in older Americans, while reducing disparities between White, Black, and Hispanic adults, aged 65 years and older. METHODS: Data were analyzed from the 2008 Behavioral Risk Factor Surveillance System, quantifying the proportion of older Americans UTD with influenza and pneumococcal vaccinations, mammograms, Papanicolaou tests, and colorectal cancer screening. A comparison of projected changes in UTD levels and disparities was ascertained by numerically accounting for UTD adults lacking 1 or more clinical preventive services (CPS). Analyses were performed by gender and race/ethnicity. RESULTS: Expanded provision of specific vaccinations and screenings each increased UTD levels. When those needing only vaccinations were immunized, there was a projected decrease in racial/ethnic disparities in UTD levels (2.3%-12.2%). When those needing only colorectal cancer screening, mammography, or Papanicolaou test were screened, there was an increase in UTD disparities (1.6%-4.5%). CONCLUSIONS: A primary care and public health focus on adult immunizations, in addition to other CPS, offers an effective strategy to reduce disparities while improving UTD levels.

Surveillance of demographic characteristics and health behaviors among adult cancer survivors--Behavioral Risk Factor Surveillance System, United States, 2009.

PROBLEM/CONDITION: Approximately 12 million people are living with cancer in the United States. Limited information is available on national and state assessments of health behaviors among cancer survivors. Using data from the Behavioral Risk Factor Surveillance System (BRFSS), this report provides a descriptive state-level assessment of demographic characteristics and health behaviors among cancer survivors aged ≥18 years. REPORTING PERIOD COVERED: 2009 DESCRIPTION OF SYSTEM: BRFSS is an ongoing, state-based, random-digit-dialed telephone survey of the noninstitutionalized U.S. population aged ≥18 years. BRFSS collects information on health risk behaviors and use of preventive health services related to leading causes of death and morbidity. In 2009, BRFSS added questions about previous cancer diagnoses to the core module. The 2009 BRFSS also included an optional cancer survivorship module that assessed cancer treatment history and health insurance coverage for cancer survivors. In 2009, all 50 states, the District of Columbia, Guam, Puerto Rico, and the U.S. Virgin Islands administered the core cancer survivorship questions, and 10 states administered the optional supplemental cancer survivorship module. Five states added questions on mammography and Papanicolaou (Pap) test use, eight states included questions on colorectal screening, and five states included questions on prostate cancer screening. RESULTS: An estimated 7.2% of the U.S. general population aged ≥18 years reported having received a previous cancer diagnosis (excluding nonmelanoma skin cancer). A total of 78.8% of cancer survivors were aged ≥50 years, and 39.2% had received a diagnosis of cancer >10 years previously. A total of 57.8% reported receiving an influenza vaccination during the previous year, and 48.3% reported ever receiving a pneumococcal vaccination. At the time of the interview, 6.8% of cancer survivors had no health insurance, and 12% had been denied health insurance, life insurance, or both because of their cancer diagnosis. The prevalence of cardiovascular disease was higher among male cancer survivors (23.4%) than female cancer survivors (14.3%), as was the prevalence of diabetes (19.6% and 14.7%, respectively). Overall, approximately 15.1% of cancer survivors were current cigarette smokers, 27.5% were obese, and 31.5% had not engaged in any leisure-time physical activity during the past 30 days. Demographic characteristics and health behaviors among cancer survivors varied substantially by state. INTERPRETATION: Health behaviors and preventive health care practices among cancer survivors vary by state and demographic characteristics. A large proportion of cancer survivors have comorbid conditions, currently smoke, do not participate in any leisure-time physical activity, and are obese. In addition, many are not receiving recommended preventive care, including cancer screening and influenza and pneumococcal vaccinations. PUBLIC HEALTH ACTION: Health-care providers and patients should be aware of the importance of preventive care, smoking cessation, regular physical activity, and maintaining a healthy weight for cancer survivors. The findings in this report can help public health practitioners, researchers, and comprehensive cancer control programs evaluate the effectiveness of program activities for cancer survivors, assess the needs of cancer survivors at the state level, and allocate appropriate resources to address those needs.

Complementary and alternative medicine use among adults with work-related and non-work-related asthma.

BACKGROUND: The prevalence of complementary and alternative medicine (CAM) use among adults with current asthma has been estimated to be 40%. To our knowledge, there is no information on the prevalence of CAM use among individuals with work-related asthma (WRA). OBJECTIVES: To examine the associations between WRA, CAM use, and adverse asthma events. METHODS: We analyzed data from the 2006-2008 Behavioral Risk Factor Surveillance System Asthma Call-Back Survey from 37 states and the District of Columbia for ever-employed adults with current asthma. We defined WRA as health-professional-diagnosed WRA. We calculated prevalence ratios (PRs) adjusted for age, sex, race/ethnicity, education, income, health insurance, and geographic region of residence. RESULTS: Of ever-employed adults with current asthma, an estimated 38.1% used CAM and 8.6% had WRA. An estimated 56.6% of individuals with WRA reported using CAM compared with 27.9% of those with non-WRA (PR = 2.0). People with WRA were more likely than those with non-WRA to have adverse asthma events including an asthma attack in the past month (PR = 1.43), urgent treatment for worsening asthma (PR = 1.74), emergency room visit (PR = 1.95), overnight hospital stay (PR = 2.49), and poorly controlled asthma (PR = 1.27). The associations of WRA with adverse asthma events remained after stratifying for CAM use. CONCLUSIONS: Compared with non-WRA, individuals with WRA were more likely to use CAM to control their asthma. However, there was no evidence that the use of CAM modified the association of WRA with adverse asthma events.