A Comparison of National Estimates From the National Health Interview Survey and the Behavioral Risk Factor Surveillance System

Nelson, David E.; Powell‐Griner, Eve; Town, Machell; Kovar, Mary Grace

doi:10.2105/ajph.93.8.1335

Cited by 326 publications

(250 citation statements)

References 18 publications

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“…The survey data used here were collected through telephone interviews, raising the possibility of under-reporting of substances used. This is again unlikely given the comparability of substance use documented here to national estimates and the growing evidence to suggest that estimates obtained through telephone assessments are valid when compared to in-person assessments (Midanik and Greenfield, 2003;Nelson et al, 2003). Although we controlled for the available relevant individual and neighborhood-level variables it is possible that residual cross-level confounding or confounding by covariates not considered here could explain the observed relations among neighborhood characteristics and substance use measures.…”

Section: Discussionmentioning

confidence: 88%

Education inequality and use of cigarettes, alcohol, and marijuana

Galea

Ahern

Tracy

et al. 2007

Drug and Alcohol Dependence

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Education inequality at the neighborhood-level may influence population health and health behavior. We assessed the relations between education inequality and substance use in 59 New York City (NYC) neighborhoods. We used Gini coefficients of education to describe neighborhood education inequality and data from a random-digit-dial phone survey of adult residents of NYC to assess use of substances. Among 1355 respondents (female=56.2%; white=35.7%; mean age=40.4), 23.9% (95% confidence interval [CI]=20.3-27.5) reported smoking, 39.4% (95% CI=35.3-43.4) drinking, and 5.4% (95% CI=3.6-7.3) using marijuana in the previous 30 days. In multilevel models controlling for neighborhood education, neighborhood income inequality, and individual covariates, living in a neighborhood with high education inequality was associated with a greater prevalence of drinking (p=0.02) and of smoking marijuana (p=0.004) but among current drinkers it was associated (p=0.03) with having fewer drinks. The odds of alcohol use (OR=1.70) and marijuana use (OR=3.49) were greater in neighborhoods in the 75 th percentile of education Gini compared to neighborhoods in the 25 th percentile of education Gini. Statisical interactions suggest that there may be a stronger relation between education inequality and marijuana use in neighborhoods with low mean education than in neighborhoods with higher mean levels of education. These findings, taken together, suggest a complex relation between education inequality and substance use; likelihood of the use of alcohol and marijuana was higher in areas with higher education inequality suggesting potential roles for substance use norms and availability, whereas quantity used among drinkers was higher in areas with low education inequality, suggesting potential roles for both disadvantage and norms.

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Section: Discussionmentioning

confidence: 88%

Education inequality and use of cigarettes, alcohol, and marijuana

Galea

Ahern

Tracy

et al. 2007

Drug and Alcohol Dependence

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“…The BRFSS survey design, sampling methods and weights have been described elsewhere, 30 and BRFSS data have consistently been found to provide valid and reliable estimates when compared with other national household surveys in the United States. [30][31][32] The survey was reviewed by the Human Research Protection Office at the Centers for Disease Control and Prevention and determined to be exempt from human subject guidelines. Further information on BRFSS is available at http://www.cdc.gov/brfss/.…”

Section: Methodsmentioning

confidence: 99%

Depression and anxiety among US adults: associations with body mass index

et al. 2009

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Background: Obesity is associated with an increased risk of developing a variety of chronic diseases, most of which are associated with psychiatric disorders. We examined the associations of depression and anxiety with body mass index (BMI) after taking into consideration the obesity-related comorbidities (ORCs) and other psychosocial or lifestyle factors. Methods: We analyzed the data collected from 177 047 participants (agedX18 years) in the 2006 Behavioral Risk Factor Surveillance System. Current depression was assessed by the Patient Health Questionnaire-8 diagnostic algorithm. Lifetime diagnoses of depression, anxiety and ORCs were self-reported. The prevalence of the three psychiatric disorders was age standardized to the 2000 US population. Multivariate-adjusted prevalence ratios were computed to test associations of depression and anxiety with BMI using SUDAAN software. Results: The age-adjusted prevalence of current depression, lifetime diagnosed depression and anxiety varied significantly by gender. Within each gender, the prevalence of the three psychiatric disorders was significantly higher in both men and women who were underweight (BMIo18.5 kg/m 2 ), in women who were overweight (BMI: 25-o30 kg/m 2 ) or obese (BMIX30 kg/m 2 ), and in men who had class III obesity (BMIX40 kg/m 2 ) than in those with a normal BMI (18.5Ào25 kg/m 2 ). After adjusting for demographics, ORCs, lifestyle or psychosocial factors, compared with men with a normal BMI, men with a BMIX40 kg/m 2 were significantly more likely to have current depression or lifetime diagnosed depression and anxiety; men with a BMIo18.5 kg/m 2 were also significantly more likely to have lifetime diagnosed depression. Women who were either overweight or obese were significantly more likely than women with a normal BMI to have all the three psychiatric disorders.Conclusions: Our results demonstrate that disparities in the prevalence of depression and anxiety exist among people with different BMI levels independent of their disease status or other psychosocial or lifestyle factors.

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“…Potential limitations of the analysis include the lack of spirometry to classify the degree of obstruction, and the description of diseases based on self-report; however, the definition of COPD used here has been previously validated (32,33). Another potential limitation is the selection of the model of disability used to outline the analysis, as there are many available theoretical models of disability, calling for the exploration of different covariates (34,35).…”

Section: Discussionmentioning

confidence: 99%

Chronic Obstructive Pulmonary Disease, Cognitive Impairment, and Development of Disability: The Health and Retirement Study

et al. 2014

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Rationale: The relationship between chronic obstructive pulmonary disease (COPD) and cognitive impairment in leading to disability has not been characterized.Objectives: We aimed to investigate the prevalence and cumulative incidence of disability among adults with and without COPD and the association of COPD and cognitive impairment with disability. Methods:We analyzed 2006-2008 waves of the Health and Retirement Study, a nationally representative longitudinal health survey. COPD was self-reported. Prevalent disability was defined as baseline dependency in one or more activities of daily living (ADLs) and incident disability as one or more additional ADL dependencies. We used a validated performance-based measure of cognition to identify dementia and mild cognitive impairment. Covariates included seven chronic diseases, four geriatric syndromes, and sociodemographics. We used logistic regression to test associations between COPD, cognitive status, and prevalent/incident disability.Measurements and Main Results: Of 17,535 participants at least 53 years of age in wave 2006 (representing 77.7 million Americans), 9.5% reported COPD and 13.5% mild cognitive impairment; 17.5% of those with COPD had mild cognitive impairment. Prevalent disability for COPD was 12.8% (5.2% for no-COPD, P , 0.001). An additional 9.2% with COPD developed incident disability at 2 years (4.0% for no-COPD, P , 0.001). In adjusted models, COPD was associated with baseline (odds ratio, 2.0) and incident disability (odds ratio, 2.1; adjusted for baseline disability). Cognitive impairment had an additive effect to COPD. The COPD-disability association, prevalent/incident, was of similar or greater magnitude than that of other chronic diseases (e.g., stroke, diabetes). The associations were maintained in sensitivity analyses using alternative definitions of disability (dependency in two or more ADLs, dependency in instrumental ADLs), and in analysis excluding respondents with dementia.Conclusions: Both COPD and mild cognitive impairment increase the risk of disability. The risk conferred by COPD is significant and similar or higher than other chronic diseases.

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A Comparison of National Estimates From the National Health Interview Survey and the Behavioral Risk Factor Surveillance System

Abstract: Although estimates differed within subgroups, the BRFSS provided national estimates comparable to those of the NHIS. BRFSS national data could provide rapidly available information to guide national policy and program decisions.

Cited by 326 publications

References 18 publications

Education inequality and use of cigarettes, alcohol, and marijuana

Education inequality and use of cigarettes, alcohol, and marijuana

Depression and anxiety among US adults: associations with body mass index

Chronic Obstructive Pulmonary Disease, Cognitive Impairment, and Development of Disability: The Health and Retirement Study

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