Race/Ethnicity, Income, Chronic Asthma, and Mental Health: A Cross-Sectional Study Using the Behavioral Risk Factor Surveillance System

2008 ◽  
Vol 70 (1) ◽  
pp. 77-84 ◽  
Author(s):  
Frank C. Bandiera ◽  
Deidre B. Pereira ◽  
Ahmed A. Arif ◽  
Brian Dodge ◽  
Nabih Asal
Keyword(s):  
Surveillance System ◽  
Cross Sectional Study ◽  
Behavioral Risk ◽  
Chronic Asthma ◽  
Sectional Study ◽  
Behavioral Risk Factor ◽  
Cross Sectional ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
Race Ethnicity

scholarly journals US Military Service and Racial/Ethnic Differences in Cardiovascular Disease: An Analysis of the 2011-2016 Behavioral Risk Factor Surveillance System

2019 ◽  
Vol 29 (3) ◽  
pp. 451-462 ◽  
Author(s):  
Lauren E. Walker ◽  
Eduard Poltavskiy ◽  
Jud C. Janak ◽  
Carl A. Beyer ◽  
Ian J. Stewart ◽  
...  
Keyword(s):  
Military Service ◽  
Surveillance System ◽  
Cross Sectional Study ◽  
Behavioral Risk ◽  
Cross Sectional ◽  
Us Military ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
Prior Service ◽  
Race Ethnicity

Objective: To determine: 1) rates of cardio­vascular disease (CVD) among individuals with and without prior US military service; and 2) variation in CVD outcomes by race/ ethnicity.Methods: We performed a cross-sectional study of the 2011-2016 Behavioral Risk Fac­tor Surveillance System during 2018-2019. Groups with (n=369,844) and without (n=2,491,784) prior service were compared overall, and by race/ethnicity. CVD odds were compared using logistic regression. Rate-difference decomposition was used to estimate relative contributions of covariates to differences in CVD prevalence.Results: CVD was associated with military service (OR=1.34; P<.001). Among non- Hispanic Blacks, prior service was associ­ated with a lower odds of CVD (OR=.69; P<.001), fully attenuating the net differ­ence in CVD between individuals with and without prior service. Non-Hispanic Whites who served had the highest odds of CVD, while Hispanics with prior service had the same odds of CVD as non-Hispanic Whites without prior service. After age, smoking and body mass index status were the largest contributors to CVD differences by race/ ethnicity.Conclusions: Results from this study sup­port an association between prior military service and CVD and highlight differences in this association by race/ethnicity. Knowledge of modifiable health behaviors that contrib­ute to differences in CVD outcomes could be used to guide prevention efforts. Ethn Dis. 2019;29(3):451-462; doi:10.18865/ ed.29.3.451

scholarly journals Propensity Score Analysis Assessing the Burden of Non-Communicable Diseases among the Transgender Population in the United States Using the Behavioral Risk Factor Surveillance System (2017–2019)

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 696
Author(s):  
Jennifer R. Pharr ◽  
Kavita Batra
Keyword(s):  
Logistic Regression ◽  
Risk Factor ◽  
Propensity Score ◽  
Surveillance System ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance

Research to assess the burden of non-communicable diseases (NCDs) among the transgender population needs to be prioritized given the high prevalence of chronic conditions and associated risk factors in this group. Previous cross-sectional studies utilized unmatched samples with a significant covariate imbalance resulting in a selection bias. Therefore, this cross-sectional study attempts to assess and compare the burden of NCDs among propensity score-matched transgender and cisgender population groups. This study analyzed Behavioral Risk Factor Surveillance System data (2017–2019) using complex weighting procedures to generate nationally representative samples. Logistic regression was fit to estimate propensity scores. Transgender and cisgender groups were matched by sociodemographic variables using a 1:1 nearest neighbor matching algorithm. McNemar, univariate, and multivariate logistic regression analyses were conducted among matched cohorts using R and SPSS version 26 software. Compared with the cisgender group, the transgender group was significantly more likely to have hypertension (31.3% vs. 27.6%), hypercholesteremia (30.8% vs. 23.7%), prediabetes (17.3% vs. 10.3%), and were heavy drinkers (6.7% vs. 6.0%) and smokers (22.4% vs. 20.0%). Moreover, the transgender group was more than twice as likely to have depression (aOR: 2.70, 95% CI 2.62–2.72), stroke (aOR: 2.52 95% CI 2.50–2.55), coronary heart disease (aOR: 2.77, 95% CI 2.74–2.81), and heart attack (aOR: 2.90, 95% CI 2.87–2.94). Additionally, the transgender group was 1.2–1.7 times more likely to have metabolic and malignant disorders. Differences were also found between transgender subgroups compared with the cisgender group. This study provides a clear picture of the NCD burden among the transgender population. These findings offer an evidence base to build health equity models to reduce disparities among transgender groups.

scholarly journals Risk Factors for COVID-19-associated hospitalization: COVID-19-Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System

2020 ◽  
Author(s):  
Jean Y. Ko ◽  
Melissa L. Danielson ◽  
Machell Town ◽  
Gordana Derado ◽  
Kurt J. Greenland ◽  
...  
Keyword(s):  
Surveillance System ◽  
Severe Obesity ◽  
Medical Condition ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Surveillance Network ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
Race Ethnicity ◽  
Underlying Medical Condition

Background: Identification of risk factors for COVID-19-associated hospitalization is needed to guide prevention and clinical care. Objective: To examine if age, sex, race/ethnicity, and underlying medical conditions is independently associated with COVID-19-associated hospitalizations. Design: Cross-sectional. Setting: 70 counties within 12 states participating in the Coronavirus Disease 2019-Associated Hospitalization Surveillance Network (COVID-NET) and a population-based sample of non-hospitalized adults residing in the COVID-NET catchment area from the Behavioral Risk Factor Surveillance System. Participants: U.S. community-dwelling adults (≥18 years) with laboratory-confirmed COVID-19-associated hospitalizations, March 1- June 23, 2020. Measurements: Adjusted rate ratios (aRR) of hospitalization by age, sex, race/ethnicity and underlying medical conditions (hypertension, coronary artery disease, history of stroke, diabetes, obesity [BMI ≥30 kg/m2], severe obesity [BMI≥40 kg/m2], chronic kidney disease, asthma, and chronic obstructive pulmonary disease). Results: Our sample included 5,416 adults with COVID-19-associated hospitalizations. Adults with (versus without) severe obesity (aRR:4.4; 95%CI: 3.4, 5.7), chronic kidney disease (aRR:4.0; 95%CI: 3.0, 5.2), diabetes (aRR:3.2; 95%CI: 2.5, 4.1), obesity (aRR:2.9; 95%CI: 2.3, 3.5), hypertension (aRR:2.8; 95%CI: 2.3, 3.4), and asthma (aRR:1.4; 95%CI: 1.1, 1.7) had higher rates of hospitalization, after adjusting for age, sex, and race/ethnicity. In models adjusting for the presence of an individual underlying medical condition, higher hospitalization rates were observed for adults ≥65 years, 45-64 years (versus 18-44 years), males (versus females), and non-Hispanic black and other race/ethnicities (versus non-Hispanic whites). Limitations: Interim analysis limited to hospitalizations with underlying medical condition data. Conclusion: Our findings elucidate groups with higher hospitalization risk that may benefit from targeted preventive and therapeutic interventions.

scholarly journals Risk Factors for Coronavirus Disease 2019 (COVID-19)–Associated Hospitalization: COVID-19–Associated Hospitalization Surveillance Network and Behavioral Risk Factor Surveillance System

2020 ◽  
Author(s):  
Jean Y Ko ◽  
Melissa L Danielson ◽  
Machell Town ◽  
Gordana Derado ◽  
Kurt J Greenlund ◽  
...  
Keyword(s):  
Risk Factors ◽  
Surveillance System ◽  
Severe Obesity ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Surveillance Network ◽  
Hospitalization Rates ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
Race Ethnicity

Abstract Background Data on risk factors for coronavirus disease 2019 (COVID-19)–associated hospitalization are needed to guide prevention efforts and clinical care. We sought to identify factors independently associated with COVID-19–associated hospitalizations. Methods Community-dwelling adults (aged ≥18 years) in the United States hospitalized with laboratory-confirmed COVID-19 during 1 March–23 June 2020 were identified from the COVID-19–Associated Hospitalization Surveillance Network (COVID-NET), a multistate surveillance system. To calculate hospitalization rates by age, sex, and race/ethnicity strata, COVID-NET data served as the numerator and Behavioral Risk Factor Surveillance System estimates served as the population denominator for characteristics of interest. Underlying medical conditions examined included hypertension, coronary artery disease, history of stroke, diabetes, obesity, severe obesity, chronic kidney disease, asthma, and chronic obstructive pulmonary disease. Generalized Poisson regression models were used to calculate adjusted rate ratios (aRRs) for hospitalization. Results Among 5416 adults, hospitalization rates (all reported as aRR [95% confidence interval]) were higher among those with ≥3 underlying conditions (vs without) (5.0 [3.9–6.3]), severe obesity (4.4 [3.4–5.7]), chronic kidney disease (4.0 [3.0–5.2]), diabetes (3.2 [2.5–4.1]), obesity (2.9 [2.3–3.5]), hypertension (2.8 [2.3–3.4]), and asthma (1.4 [1.1–1.7]), after adjusting for age, sex, and race/ethnicity. Adjusting for the presence of an individual underlying medical condition, higher hospitalization rates were observed for adults aged ≥65 or 45–64 years (vs 18–44 years), males (vs females), and non-Hispanic black and other race/ethnicities (vs non-Hispanic whites). Conclusions Our findings elucidate groups with higher hospitalization risk that may benefit from targeted preventive and therapeutic interventions.

scholarly journals Inter- and independent effects of region and race/ethnicity on variety of fruit and vegetable consumption in the USA: 2011 Behavioral Risk Factor Surveillance System (BRFSS)

2015 ◽  
Vol 19 (1) ◽  
pp. 104-113 ◽  
Author(s):  
Nicole Tichenor ◽  
Zach Conrad
Keyword(s):  
Surveillance System ◽  
Vegetable Consumption ◽  
Fruit And Vegetable Consumption ◽  
Behavioral Risk ◽  
Fruit And Vegetable ◽  
Behavioral Risk Factor ◽  
Behavioral Risk Factor Surveillance ◽  
Risk Factor Surveillance ◽  
The Usa ◽  
Race Ethnicity

AbstractObjective(i) To estimate the independent and combined effects of race/ethnicity and region on the variety of fruits and vegetables consumed in the USA in 2011; and (ii) to assess whether and to what extent race/ethnicity and region may synergistically influence variety of fruit and vegetable consumption.DesignCross-sectional analysis. Multivariate logistic regression predicted the likelihood of meeting fruit and vegetable variety indicators independently and in combination for each race/ethnicity and region. Interaction effects models were used to test for interaction effects between race/ethnicity and region on fruit and vegetable variety.SettingThe 2011 Behavioral Risk Factor Surveillance System (BRFSS).SubjectsThe sample consisted of 275 864 adult respondents.ResultsFewer than half of respondents consumed fruit and all vegetable subcategories at least once weekly. The adjusted likelihood of meeting fruit and vegetable variety indicators varied significantly by race/ethnicity and region (P<0·05). Significant interactions between race/ethnicity and region were found for at least once weekly consumption of beans, orange vegetables, all vegetables, and fruit and all vegetables (P<0·05).ConclusionsOur results reinforce previous findings that the variety of vegetable consumption is lacking and is particularly evident among some population subgroups, such as non-Hispanic blacks in the Midwest USA, who may benefit from targeted dietary interventions.

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