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A V Diez-Roux

Publications and source records attributed to A V Diez-Roux.

16 recordsLinked to original sources
PubMed2001

Area characteristics and individual-level socioeconomic position indicators in three population-based epidemiologic studies.

PURPOSE: There is growing interest in incorporating area indicators into epidemiologic analyses. Using data from the 1990 U.S. Census linked to individual-level data from three epidemiologic studies, we investigated how different area indicators are interrelated, how measures for different sized areas compare, and the relation between area and individual-level social position indicators. METHODS: The interrelations between 13 area indicators of wealth/income, education, occupation, and other socioenvironmental characteristics were investigated using correlation coefficients and factor analyses. The extent to which block-group measures provide information distinct from census tract measures was investigated using intraclass correlation coefficients. Loglinear models were used to investigate associations between area and individual-level indicators. RESULTS: Correlations between area measures were generally in the 0.5--0.8 range. In factor analyses, six indicators of income/wealth, education, and occupation loaded on one factor in most geographic sites. Correlations between block-group and census tract measures were high (correlation coefficients 0.85--0.96). Most of the variability in block-group indicators was between census tracts (intraclass correlation coefficients 0.72--0.92). Although individual-level and area indicators were associated, there was evidence of important heterogeneity in area of residence within individual-level income or education categories. The strength of the association between individual and area measures was similar in the three studies and in whites and blacks, but blacks were much more likely to live in more disadvantaged areas than whites. CONCLUSIONS: Area measures of wealth/income, education, and occupation are moderately to highly correlated. Differences between using census tract or block-group measures in contextual investigations are likely to be relatively small. Area and individual-level indicators are far from perfectly correlated and provide complementary information on living circumstances. Differences in the residential environments of blacks and whites may need to be taken into account in interpreting race differences in epidemiologic studies.

Adult↗
PubMed2001

Neighborhood poverty and the resurgence of tuberculosis in New York City, 1984-1992.

OBJECTIVES: The resurgence of tuberculosis (TB) in NewYork City has been attributed to AIDS and immigration; however, the role of poverty in the epidemic is unclear. We assessed the relation between neighborhood poverty and TB at the height of the epidemic and longitudinally from 1984 through 1992. METHODS: Census block groups were used as proxies for neighborhoods. For each neighborhood, we calculated TB and AIDS incidence in 1984 and 1992 with data from the Bureaus of Tuberculosis Control and AIDS Surveillance and obtained poverty rates from the census. RESULTS: For 1992, 3,343 TB cases were mapped to 5,482 neighborhoods, yielding a mean incidence of 46.5 per 100,000. Neighborhood poverty was associated with TB (relative risk = 1.33; 95% confidence interval = 1.30, 1.36 per 10% increase in poverty). This association persisted after adjustment for AIDS, proportion foreign born, and race/ethnicity. Neighborhoods with declining income from 1980 to 1990 had larger increases in TB incidence than did neighborhoods with increasing income. CONCLUSIONS: Leading up to and at the height of the TB epidemic in New York City, neighborhood poverty was strongly associated with TB incidence. Public health interventions should target impoverished areas.

Adult↗
PubMed2000

A multilevel analysis of income inequality and cardiovascular disease risk factors.

Recent research has suggested that inequality in the distribution of income is associated with increased mortality, even after accounting for average income levels. Using data from the Behavioral Risk Factor Surveillance System (BRFSS), we investigated whether inequality in the distribution of income within US states is related to the prevalence of four cardiovascular disease risk factors (body mass index (BMI), history of hypertension, sedentarism, and smoking). Multilevel models (including both state-level and individual-level variables) were used to examine associations of state inequality with risk factor levels before and after adjustment for individual-level income. For three of the four risk factors investigated (BMI, hypertension, and sedentarism), state inequality was associated with increased risk factor levels, particularly at low income levels (annual household incomes <$25,000), with associations persisting after adjustment for individual-level income. Inequality was also positively associated with smoking, but associations were either stronger or only present at higher income levels. Associations of inequality with the outcomes were statistically significant in women but not in men. Although not conclusive, findings for three of the four risk factors are suggestive of a contextual effect of income inequality, particularly among persons with lower incomes.

Adult↗
PubMed2000

How do types of employment relate to health indicators? Findings from the second European survey on working conditions.

STUDY OBJECTIVE: To investigate the associations of various types of employment with six self reported health indicators, taking into account the part played by demographic variables, individual working conditions and four ecological indicators at the country level. DESIGN: Cross sectional survey (structured interview) of a sample of the active population of 15 European countries aged 15 years or over. Main independent variables were nine types of employment categorised as follows: small employers, full and part time permanent employees, full and part time fixed term employees, full and part time sole traders and full and part time temporary contracts. Main outcome measures were three self reported health related outcomes (job satisfaction, health related absenteeism, and stress) and three self reported health problems (overall fatigue, backache, and muscular pains). Logistic regression and multilevel models were used in the analyses. SETTING: 15 countries of the European Union. PARTICIPANTS: 15 146 employed persons aged 15 or over. MAIN RESULTS: Precarious employment was consistently and positively associated with job dissatisfaction but negatively associated with absenteeism and stress (as compared with full time permanent workers). Fatigue, backache and muscular pains also tended to be positively associated with precarious employment, particularly with full time precarious employment. Small employers reported high percentages of stress and fatigue, but absenteeism was relatively low. Sole traders generally reported high percentages of all outcomes, except for absenteeism, which was low. For each type of employment (except temporary contracts), full time workers tended to report worse health outcomes than part time workers. Patterns were generally consistent across countries. Associations persisted after adjustment for individual level working conditions and were not modified by country level variables. CONCLUSIONS: This study is the first to examine the relations between various types of employment and six health related indicators for all 15 member states of the European Union. Suggestive patterns worthy of further exploration have been found. Standardised definitions of types of underemployment and health related outcomes, more potent epidemiological designs and the inclusion of socioeconomic information (for example, social security systems, incapacity benefit schemes) at the regional level are proposed for inclusion in further research.

Adolescent↗
PubMed2000

Multilevel analysis in public health research.

Over the past few years there has been growing interest in considering factors defined at multiple levels in public health research. Multilevel analysis has emerged as one analytical strategy that may partly address this need, by allowing the simultaneous examination of group-level and individual-level factors. This paper reviews the rationale for using multilevel analysis in public health research, summarizes the statistical methodology, and highlights some of the research questions that have been addressed using these methods. The advantages and disadvantages of multilevel analysis compared with standard methods are reviewed. The use of multilevel analysis raises theoretical and methodological issues related to the theoretical model being tested, the conceptual distinction between group- and individual-level variables, the ability to differentiate "independent" effects, the reciprocal relationships between factors at different levels, and the increased complexity that these models imply. The potentialities and limitations of multilevel analysis, within the broader context of understanding the role of factors defined at multiple levels in shaping health outcomes, are discussed.

Analysis of Variance↗
PubMed1999

Neighbourhood differences in diet: the Atherosclerosis Risk in Communities (ARIC) Study.

STUDY OBJECTIVE: To investigate whether neighbourhood characteristics are related to dietary patterns independently of individual level variables. DESIGN: A cross sectional analysis of the relation between neighbourhood median household income and food and nutrient intakes, before and after adjustment for individual level variables. SETTING: Four United States communities (Washington Co, MD; Suburban Minneapolis, MN; Forsyth Co, NC, and Jackson, MS). PARTICIPANTS: 13,095 adults aged 45 to 64 years participating in the baseline examination of the Atherosclerosis Risk in Communities (ARIC) Study, a prospective study of atherosclerosis. MEASUREMENTS AND MAIN RESULTS: Information on diet and individual level income was obtained from the baseline examination of the ARIC Study. Diet was assessed using a semi-quantitative food frequency questionnaire. Information on neighbourhood (census defined block groups) median household income was obtained from the 1990 US Census. Multilevel models were used to account for the multilevel structure of the data. Living in lower income neighbourhoods was generally associated with decreased energy adjusted intake of fruits, vegetables, fish, and increased intake of meat. Patterns generally persisted after adjustment for individual level income, but were often not statistically significant. Inconsistent associations were recorded for the intake of saturated fat, polyunsaturated fat, and cholesterol. Overall, individual level income was a more consistent predictor of diet than neighbourhood income. CONCLUSION: Despite limitations in the definition and characterisation of neighbourhoods, this study found consistent (albeit small) differences across neighbourhoods in food intake, suggesting that more in depth research into potential neighbourhood level determinants of diet is warranted.

Arteriosclerosis↗
PubMed1999

Prevalence and social correlates of cardiovascular disease risk factors in Harlem.

OBJECTIVES: This study examined the prevalence, social correlates, and clustering of cardiovascular disease risk factors in a predominantly Black, poor, urban community. METHODS: Associations of risk factor prevalences with sociodemographic variables were examined in a population-based sample of 695 men and women aged 18 to 65 years living in Central Harlem. RESULTS: One third of the men and women were hypertensive, 48% of the men and 41% of the women were smokers, 25% of the men and 49% of the women were overweight, and 23% of the men and 35% of the women reported no leisure-time physical activity over the past month. More than 80% of the men and women had at least 1 of these risk factors, and 9% of the men and 19% of the women had 3 or more risk factors. Income and education were inversely related to hypertension, smoking, and physical inactivity. Having 3 or more risk factors was associated with low income and low education (extreme odds ratio [OR] = 10.2, 95% confidence interval [CI] = 3.0, 34.5 for education; OR = 3.7, CI = 1.6, 8.9 for income) and with a history of unstable work or of homelessness. CONCLUSIONS: Disadvantaged, urban communities are at high risk for cardiovascular disease. These results highlight the importance of socioenvironmental factors in shaping cardiovascular risk.

Adolescent↗
PubMed1998

Bringing context back into epidemiology: variables and fallacies in multilevel analysis.

A large portion of current epidemiologic research is based on methodologic individualism: the notion that the distribution of health and disease in populations can be explained exclusively in terms of the characteristics of individuals. The present paper discusses the need to include group- or macro-level variables in epidemiologic studies, thus incorporating multiple levels of determination in the study of health outcomes. These types of analyses, which have been called contextual or multi-level analyses, challenge epidemiologists to develop theoretical models of disease causation that extend across levels and explain how group-level and individual-level variables interact in shaping health and disease. They also raise a series of methodological issues, including the need to select the appropriate contextual unit and contextual variables, to correctly specify the individual-level model, and, in some cases, to account for residual correlation between individuals within contexts. Despite its complexities, multilevel analysis holds potential for reemphasizing the role of macro-level variables in shaping health and disease in populations.

Epidemiologic Measurements↗
PubMed1997

Neighborhood environments and coronary heart disease: a multilevel analysis.

The authors investigated whether neighborhood socioeconomic characteristics are associated with coronary heart disease prevalence and risk factors, whether these associations persist after adjustment for individual-level social class indicators, and whether the effects of individual-level indicators vary across neighborhoods. The study sample consisted of 12,601 persons in four US communities (Washington County, Maryland; Forsyth County, North Carolina; Minneapolis, Minnesota; and Jackson, Mississippi) participating in the baseline examination of the Atherosclerosis Risk in Communities Study (1987-1989). Neighborhood characteristics were obtained from 1990 US Census block-group measures. Multilevel models were used to estimate associations with neighborhood variables after adjustment for individual-level indicators of social class. Living in deprived neighborhoods was associated with increased prevalence of coronary heart disease and increased levels of risk factors, with associations generally persisting after adjustment for individual-level variables. Inconsistent associations were documented for serum cholesterol and disease prevalence in African-American men. For Jackson African-American men living in poor neighborhoods, coronary heart disease prevalence decreased as neighborhood characteristics worsened. Additionally, in African-American men from Jackson, low social class was associated with increased serum cholesterol in "richer" neighborhoods but decreased serum cholesterol in "poorer" neighborhoods. Neighborhood environments may be one of the pathways through which social structure shapes coronary heart disease risk.

Black or African American↗
PubMed1996

Estrogen replacement therapy and cognitive functioning in the Atherosclerosis Risk in Communities (ARIC) Study.

The association of estrogen replacement therapy (ERT) with cognitive functioning was assessed in 6,110 women aged 48-67 years participating in the Atherosclerosis Risk in Communities (ARIC) study, a multicenter longitudinal investigation. ERT was evaluated in relation to results of three cognitive tests (the Delayed Word Recall (DWR) Test, the Digit Symbol Subtest of the Wechsler Adult intelligence Scale-Revised (DSS/WAIS-R), and the Word Fluency (WF) Test) using data from the first follow-up visit of the cohort (1990-1992). No consistent associations were seen between ERT and either the DWR test or the DSS/WAIS-R after adjusting for age, education, and additional covariates previously found to be associated with cognitive function scores. Among surgically menopausal women aged 48-57 years, adjusted mean WF scores were slightly greater in ERT current users (mean WF 35.9) than in never users (mean WF 33.5) (p < 0.02); and within current users, adjusted WF scores increased with duration of ERT use. However, the finding that ERT was associated with a slightly higher level of performance on only one of three measures offers little support for the hypothesis that ERT has a major protective effect on cognitive function in women less than 68 years of age. The generalizability of these findings to older women who are more likely to experience cognitive decline and who may be using ERT for longer periods of time is limited by the relatively young age of the cohort.

Aged↗
PubMed1995

Social inequalities and atherosclerosis. The atherosclerosis risk in communities study.

The cross-sectional associations of social class indicators with coronary heart disease prevalence and subclinical atherosclerosis were investigated among 15,800 persons from four US communities between 1987 and 1989. Among persons without clinical atherosclerotic disease, ultrasound-determined intimal-medial wall thickening of the carotid arteries was used as an indicator of subclinical atherosclerosis. Odds ratios for coronary heart disease prevalence and mean differences in carotid wall thickness were investigated before and after adjustment for cardiovascular risk factors. After adjustment for age and gender, the lowest income category was associated with a threefold increase in coronary heart disease odds compared with the highest category (for whites, odds ratio (OR) = 3.4, 95% confidence interval (CI) 1.8-6.6; for blacks, OR = 3.2, 95% CI 2.2-4.8). Odds ratios increased linearly with decreasing income (p < 0.0001). Low education was also associated with increased odds of coronary heart disease after adjustment for age and gender, but the association was stronger in whites than in blacks (lowest category vs. highest: for whites, OR = 3.8, 95% CI 2.5-5.9; for blacks, OR = 1.7, 95% CI 0.9-3.1). Similar patterns were found for subclinical atherosclerosis: Carotid wall thickness increased with decreasing income and education, but trends by education were clearer in whites than in blacks. Lower occupational categories were also associated with increased coronary heart disease prevalence odds and increased carotid wall thickness. After adjustment for risk factors, associations with clinical coronary heart disease persisted but associations with carotid wall thickness disappeared, suggesting that factors related to the clinical expression of lesions may vary by social class. The process of atherogenesis and its clinical expression are patterned by social class, emphasizing the need to address social inequalities in the prevention of cardiovascular disease.

Arteriosclerosis↗
PubMed1995

The relationship of active and passive smoking to carotid atherosclerosis 12-14 years later.

BACKGROUND: Active and passive smoking have been found to be associated with clinical atherosclerotic disease. To explore the effects of smoking on atherogenesis, we investigated the relationship of past and current active and passive smoking to carotid atherosclerosis in middle-aged adults. METHODS: The study population consisted of 2,073 middle-aged residents of Washington County, Maryland. Information on active smoking and exposure to environmental tobacco smoke (ETS) was obtained from a 1975 census and from the baseline visit of the Atherosclerosis Risk in Communities (ARIC) Study in 1987-1989. Carotid artery intimal-medial wall thickness, measured by B-mode ultrasound methods in 1987-1989, was used as an indicator of carotid atherosclerosis. Mean intimal-medial wall thickness (IMT) was adjusted for age, gender, cardiovascular risk factors, and education using multiple linear regression. RESULTS: The lowest mean IMT was found among never smokers who had never been exposed to ETS (mean +/- standard error: 0.706 +/- 0.013 mm). Exposure to ETS in one or both time periods was associated with increased IMT among never smokers (ETS in 1975 only: 0.731 +/- 0.022; ETS in 1987-1989 only: 0.738 +/- 0.011; ETS in both periods: 0.734 +/- 0.012). Active smoking in 1975 was also associated with increased IMT. The greatest mean intimal-medial wall thickness was found among persons who were current smokers in both time periods (0.807 +/- 0.009). CONCLUSIONS: Both past and current passive and active smoking are associated with increased carotid intimal-medial wall thickness.

Arteriosclerosis↗