Hatice S. Zahran

Prevalence of Active Epilepsy and Health-Related Quality of Life among Adults with Self-Reported Epilepsy in California: California Health Interview Survey, 2003

Summary:  Purpose: To examine the prevalence of self‐reported epilepsy and active epilepsy, associated burden of impaired health‐related quality of life, risk factors, and access to care in adults with self‐reported epilepsy, and those classified as having active epilepsy with and without recent seizures.

Health-related quality of life in cancer survivors between ages 20 and 64 years - Population-based estimates from the behavioral risk factor surveillance system

The authors examined the health‐related quality of life (HRQOL) of cancer survivors between ages 20 and 64 years by using a population‐based survey of individuals who had activity limitations caused by cancer.

Asthma Incidence among Children and Adults: Findings from the Behavioral Risk Factor Surveillance System Asthma Call-back Survey—United States, 2006–2008

Background. Asthma, a chronic respiratory condition affecting 8.2% of the US population (2009), causes significant societal and economic burden, resulting in missed school/work days, activity limitations, and increased healthcare utilization. Annual asthma prevalence estimates are available from national surveys, but these surveys have not routinely collected asthma incidence data that are important for identifying risk factors and trends in rates of disease onset. The Asthma Call-back Survey (ACBS), implemented in 2006, provides detailed asthma data that supplement Behavioral Risk Factor Surveillance System (BRFSS) data. We analyzed BRFSS and ACBS data to estimate annual asthma incidence and to determine whether these rates differed by age group, sex, and race/ethnicity. Methods. BRFSS and ACBS data from the participating states during 2006–2008 (24 states and District of Columbia [DC] in 2006; 34 states and DC in 2007 and 2008) were analyzed to calculate 12-month incidence rates. Incident cases of asthma were defined as people diagnosed with asthma by a healthcare provider within 12 months prior to survey participation. Results. Estimated asthma incidence among at-risk adults was 3.8/1000, whereas that among at-risk children was 12.5/1000. Incidence among children aged 0–4 years was 23.4/1000, more than five times greater than that among youth aged 12–17 years (4.4/1000). Adult females had 1.8 times greater asthma incidence than adult males (4.9/1000 vs. 2.8/1000, respectively). Incidence among non-Hispanic (NH) White adults was 3.9/1000, among NH non-White adults was 3.2/1000, and among Hispanic adults was 4.0/1000. Conclusions. This is the first successful application of the BRFSS–ACBS during 2006–2008 to estimate asthma incidence rates from participating states and DC. As with known patterns in asthma prevalence, we found that asthma incidence was higher in children than adults, higher in younger children than older children and adolescents, and higher in adult females than adult males. However, we were unable to identify statistically significant differences in asthma incidence among most race/ethnic groups. As additional data on asthma incidence become available from the ACBS, these rates, coupled with ACBS data on symptoms, asthma self-management practices, and healthcare utilization, may help asthma control programs identify risk factors for disease development and target asthma prevention and control measures to populations most affected.

Factors Associated with Asthma Control among Adults in Five New England States, 2006–2007

Background. Despite the National Asthma Education and Prevention Program (NAEPP) guidelines that specify the goals of asthma control and management strategies, the number of patients with uncontrolled asthma remains high, and factors associated with uncontrolled asthma are unknown. Objective. The aim was to examine the relationship between asthma control and socio-demographic characteristics, health-care access and use, asthma education, and medication use among adults with active asthma residing in New England. Methods. Data from the 2006–2007 Behavior Risk Factor Surveillance System Adult Asthma Call-Back Survey were analyzed using multinomial logistic regression. Asthma control was categorized as “well controlled,” “not well controlled,” or “very poorly controlled” according to the NAEPP guidelines. Results. Of the respondents (n = 3079), 30% met the criteria for well-controlled asthma, 46% for not well-controlled asthma, and 24% for very poorly controlled asthma. Being of Hispanic ethnicity (odds ratio [OR] = 4.0; 95% confidence interval [CI] = 1.2–13.7), unemployed or unable to work (OR = 17.9; 95% CI = 6.0–53.4), high school educated or less (OR = 2.8; 95% CI = 1.6–4.7), current smokers (OR = 2.5; 95% CI = 1.3–5.1), or being unable to see a doctor or specialist for asthma care or unable to buy medication for asthma because of cost (OR = 7.6; 95% CI = 3.4–17.1) were associated with very poorly controlled asthma. In addition, having Coronary Obstructive Pulmonary Disease (COPD) (OR = 2.6; 95% CI = 1.5–4.5), two or more routine checkups for asthma (OR = 4.5; 95% CI = 2.3–8.9), or an emergency department visit, urgent care facility visit, and hospitalization in the past year (OR = 3.9; 95% CI = 2.1–7.3) were also associated with having very poorly controlled asthma. Using controller medication in the past year (OR = 2.6; 95% CI = 1.6–4.2) and taking a course on how to manage asthma (OR = 3.0; 95% CI = 1.2–7.8) were significantly associated with poor asthma control. Conclusion. The high prevalence (70%) of not well-controlled asthma and poorly controlled asthma in this study emphasizes the need to identify factors associated with poor asthma control for development of targeted intervention. A health policy of increasing asthma education, health-care access, and smoking cessation may be effective and result in better asthma control and management.

Factors Associated with Asthma Prevalence among Racial and Ethnic Groups—United States, 2009–2010 Behavioral Risk Factor Surveillance System

Background. Although the causes of asthma are poorly understood, multiple factors (e.g., genetic, environmental, socioeconomic, and lifestyle) have been implicated in the development and exacerbation of the disease, Objectives. To identify the potential predictive factors of current asthma and to assess if the predictive ability of some factors differs by race and ethnicity, Methods. We used the Centers for Disease Control and Prevention’s 2009–2010 Behavioral Risk Factor Surveillance System data to estimate asthma prevalence and to examine the potential predictive factors for asthma (sex, age, educational attainment, household income, obesity, smoking, physical activity, and health insurance) by race and ethnicity, Results. Of the 869,519 adult respondents in the survey, 8.6% reported having asthma. Asthma prevalence for all race/ethnic group was significantly higher among adults with a household income of <

Assessing asthma control and associated risk factors among persons with current asthma - findings from the child and adult Asthma Call-back Survey.

15,000 (13.3%; adjusted prevalence ratio [aPR] of 1.9) than those with income of ≥

Predictors of Asthma Self-Management Education among Children and Adults—2006–2007 Behavioral Risk Factor Surveillance System Asthma Call-back Survey

75,000 (6.8%). The prevalence was also higher among obese adults (11.6%; aPR = 1.5) than non-obese (7.3%), current and former smokers (10.5%; aPR = 1.2 and 8.8%; 1.2) than non-smokers (7.8%), and adults with health insurance (8.6%; aPR = 1.3) than adults without it (7.8%). However, the prevalence was lower among adults aged 65+ (7.8; aPR = 0.7) than adults aged 18–34 (9.3%) and among adults who reported having leisure time physical activity (7.8%; aPR = 0.8) than adults who did not report it (10.7%). When examined among the racial/ethnic groups, these associations were observed among whites and blacks but not for the other four racial/ethnic groups, Conclusions. Predictive factors for asthma vary among the racial/ethnic groups. Identifying race/ethnicity-specific modifiable environmental and host-related factors (mold, pollens, house dust mites, cockroaches, animal allergens, other pollutants, education, income, obesity, smoking, physical activity, and health insurance status) can be important in developing targeted interventions to reduce the health and economic impact of asthma among the disproportionately affected segments of the United States population.

Health-related quality of life and asthma among United States adolescents.

Abstract Introduction: Monitoring the level of asthma control is important in determining the effectiveness of current treatment which may decrease the frequency and intensity of symptoms and functional limitations. Uncontrolled asthma has been associated with decreased quality of life and increased health care use. The objectives of this study were to assess the level of asthma control and identify related risk factors among persons with current asthma. Methods: Using the 2006 to 2010 BRFSS child and adult Asthma Call-back Survey, asthma control was classified as well-controlled or uncontrolled (not-well-controlled or very-poorly-controlled) using three impairment measures: daytime symptoms, night-time symptoms, and taking short-acting β2-agonists for symptom control. Multivariate logistic regression identified predictors of asthma control. Results: Fifty percent of adults and 38.4% of children with current asthma had uncontrolled asthma. About 63% of children and 53% of adults with uncontrolled asthma were on long-term asthma control medications. Among children, uncontrolled asthma was significantly associated with being younger than 5 years, having annual household income <

Vital Signs: Asthma in Children — United States, 2001–2016

15 000, and reporting cost as barriers to medical care. Among adults, it was significantly associated with being 45 years or older, having annual household income of <

Assessing asthma severity among children and adults with current asthma

25 000, being “other” race, having less than a 4-year college degree, being a current or former smoker, reporting cost as barriers, being obese, and having chronic obstructive pulmonary disease or depression. Conclusion: Identifying and targeting modifiable predictors of uncontrolled asthma (low educational attainment, low income, cigarette smoking, and co-morbid conditions including obesity and depression) could improve asthma control.