Socioeconomic data in cancer registries.
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Biomedical subjects
Publications and source records attributed to N Krieger.
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OBJECTIVES: This study sought to determine the accuracy of geocoding for public health databases. METHODS: A test file of 70 addresses, 50 of which involved errors, was generated, and the file was geocoded to the census tract and block group levels by 4 commercial geocoding firms. Also, the "real world" accuracy of the best-performing firm was evaluated. RESULTS: Accuracy rates in regard to geocoding of the test file ranged from 44% (95% confidence interval [CI] = 32%, 56%) to 84% (95% CI = 73%, 92%). The geocoding firm identified as having the best accuracy rate correctly geocoded 96% of the addresses obtained from the public health databases. CONCLUSIONS: Public health studies involving geocoded databases should evaluate and report on methods used to verify accuracy.
OBJECTIVES: This study determined the effects of changing from the 1940 to the 2000 standard million on monitoring socioeconomic and racial/ethnic inequalities in health. METHODS: Using the 1940, 1970, and 2000 standard million, we calculated and compared age-adjusted rates for selected health outcomes stratified by socioeconomic level. RESULTS: Changing from the 1940 to the 2000 standard million markedly reduced the age-adjusted relative risks for self-reported fair or poor health status of poor Americans compared with high-income Americans. CONCLUSIONS: Public health researchers and practitioners should give serious consideration to the implications of the change to the 2000 standard million for monitoring social inequalities in health.
Frameworks matter. To understand, intervene in, and improve the health of girls and women requires more than just good intentions and an eclectic list of "risk factors" or policy prescriptions, even if dressed up in notions of "gender." In this article, we present two frameworks-ecosocial and health and human rights-that, if considered singly and in combination, we believe could prove useful to furthering work on understanding and addressing societal patterns of health, disease, and well-being. After explicitly summarizing our theoretical stances, we sketch the kinds of questions these frameworks invite us to consider, with reference to a particular case example: women and tuberculosis. By taking on the challenge of articulating and applying our frameworks, separately and in relation to each other, we hope to deepen understanding and generate new ideas that can make a difference for the health of girls and women.
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Despite centuries of use and renewed interest over the last 20 years in solid-state fermentation (SSF) technology, and despite its good potential for a range of products, there are currently relatively few large-scale commercial applications. This situation can be attributed to the complexity of the system: Macroscale and microscale heat and mass transfer limitations are intrinsic to the system, and it is only over the last decade or so that we have begun to understand them. This review presents the current state of understanding of biochemical engineering aspects of SSF processing, including not only the fermentation itself, but also the auxiliary steps of substrate and inoculum preparation and downstream processing and waste disposal. The fermentation step has received most research attention. Significant advances have been made over the last decade in understanding how the performance of SSF bioreactors can be controlled either by the intraparticle processes of enzyme and oxygen diffusion or by the macroscale heat transfer processes of conduction, convection, and evaporation. Mathematical modeling has played an important role in suggesting how SSF bioreactors should be designed and operated. However, these models have been developed on the basis of laboratory-scale data and there is an urgent need to test these models with data obtained in large-scale bioreactors.
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When making explicit self-report ratings, members of status- and racial-minority groups report less personal experience with discrimination than that encountered by their group--a phenomenon called the personal/group discrimination discrepancy (PGDD). This study provides evidence, for the first time, that the PGDD may be, in part, a product of the procedure used to measure it. White women and men completed explicit and implicit measures of personal and group discrimination based on sex. The PGDD surfaced among women in the explicit measures, but not in the implicit measures. These findings suggest that explicit and implicit measures might provide different assessments of experience with discrimination.
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OBJECTIVES: This study quantified AIDS incidence in Massachusetts in relation to economic deprivation. METHODS: Using 1990 census block-group data, 1990 census population counts, and AIDS surveillance registry data for the years 1988 through 1994, we generated yearly and cumulative AIDS incidence data for the state of Massachusetts stratified by sex and by neighborhood measures of economic position for the total, Black, Hispanic, and White populations. RESULTS: Incidence of AIDS increased with economic deprivation, with the magnitude of these trends varying by both race/ethnicity and sex. The cumulative incidence of AIDS in the total population was nearly 7 times higher among persons in block-groups where 40% or more of the population was below the poverty line (362 per 100,000) than among persons in block-groups where less than 2% of the population was below poverty (53 per 100,000). CONCLUSIONS: Observing patterns of disease burden in relation to neighborhood levels of economic well-being elucidates further the role of poverty as a population-level determinant of disease burden. Public health agencies and researchers can use readily available census data to describe neighborhood-level socioeconomic conditions. Such knowledge expands options for disease prevention and increases the visibility of economic inequality as an underlying cause of AIDS.
Given growing appreciation of how race/ethnicity is a social, not biological, construct, some epidemiologists are proposing that studies omit data on "race" and instead collect better socioeconomic data. This suggestion, however, ignores a growing body of evidence on how noneconomic as well as economic aspects of racial discrimination are embodied and harm health across the lifecourse. Developing a critical epidemiology of social inequalities in health will, at the very least, require incorporating thoughtful measures of race/ethnicity and social class in epidemiological studies and public health surveillance systems.
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To examine the association between lead exposure and both individual and geographic area indicators of socioeconomic position, the authors measured tibia lead concentration, a biomarker of cumulative lead exposure, using K x-ray fluorescence in a cross-sectional survey of 538 white males aged 50-92 years who were healthy when enrolled in the Normative Aging Study (Boston, Massachusetts) in the 1960s. Data on individual risk factors, education, occupation, and income were collected by questionnaire. Using subjects' residential addresses at the time of the tibia lead measurements, the authors obtained geographic area-specific measures of education, social class, and poverty by linking records to 1990 US Census block group data. In multivariate linear regression analysis controlling for age and cumulative smoking, tibia lead concentrations were 10.39 microg/g (95% confidence interval (CI) 7.80-12.97) higher in men who did not graduate from high school than in men with > or =4 years of college. Among the former men (non-high school graduates), living in an undereducated area was associated with a 9.28 microg/g (95% CI 1.59-16.97) increase in tibia lead level compared with living in a non-undereducated area; among the latter men (college graduates), no difference existed by residential area education (beta = 0.72, 95% CI -5.35 to 6.78). The authors conclude that the influence of individual socioeconomic position on cumulative lead exposure is modified by geographic area conditions.
BACKGROUND: To date only eight US studies have simultaneously examined cancer incidence in relation to social class and race/ethnicity; all but one included only black and white Americans. To address gaps in knowledge we thus investigated socioeconomic gradients in cancer incidence among four mutually exclusive US racial/ethnic groups-- Asian and Pacific Islander, black, Hispanic, and white-- for five major cancer sites: breast, cervix, colon, lung, and prostate cancer. METHODS: We generated age-adjusted cancer incidence rates stratified by socioeconomic position using: (a) geocoded cancer registry records, (b) census population counts, and (c) 1990 census block-group socioeconomic measures. Cases (n = 70,899) were diagnosed between 1988 and 1992 and lived in seven counties located in California's San Francisco Bay Area. RESULTS: Incidence rates varied as much if not more by socioeconomic position than by race/ethnicity, and for each site the magnitude - and in some cases direction - of the socioeconomic gradient differed by race/ethnicity and, where applicable, by gender. Breast cancer incidence increased with affluence only among Hispanic women. Incidence of cervical cancer increased with socioeconomic deprivation among all four racial/ethnic groups, with trends strongest among white women. Lung cancer incidence increased with socioeconomic deprivation among all but Hispanics, for whom incidence increased with affluence. Colon and prostate cancer incidence were inconsistently associated with socioeconomic position. CONCLUSIONS: These complex patterns defy easy generalization and illustrate why US cancer data should be stratified by socioeconomic position, along with race/ethnicity and gender, so as to improve cancer surveillance, research, and control.
STUDY OBJECTIVE: To describe and compare magnitude of class inequalities in women's health detected with four occupation-based class measures: individual, conventional household (male dominant), gender neutral household, and combined household. DESIGN: Cross sectional study, using health data obtained by physical examination, laboratory analysis, and self report. SETTING: A large pre-paid health maintenance organisation in Oakland, CA (US). PARTICIPANTS: 686 women (90% white) enrolled in Examination II of the Kaiser Permanente Women Twins Study (1989-1990). MAIN RESULTS: The proportion of women categorised as "working class" equalled 45, 30, and 21 per cent, respectively, for the individual level, gender neutral household, and conventional household class measures. Class inequalities in health, comparing women categorised as working class with non-working class, generally were stronger using the gender neutral household class measure, compared with the conventional household or individual class measure; in the case of "fair or poor" health, the respective odds ratios and 95% confidence intervals (adjusted for age and marital status) were 1.9 (1.1, 3.4), 1.5 (0.9, 2.5), and 1.3 (0.8, 2.2), while for high post-load glucose levels, they were 1.7 (1.1, 2.6), 1.2 (0.8, 1.7), and 1.3 (0.9, 1.8). The combined household class measure yielded effect estimates comparable to those of the gender neutral household class measure but with less precision, because of smaller strata. CONCLUSIONS: Epidemiological studies concerning class inequalities in women's health should use the gender neutral household class measure or, if sample size is sufficiently large, the combined household class measure.
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