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Open AccessJournal ArticleDOI

Measuring Social Class in US Public Health Research: Concepts, Methodologies, and Guidelines

Nancy Krieger, +2 more
- 01 Jan 1997 - 
- Vol. 18, Iss: 1, pp 341-378
TLDR
Concepts and methodologies concerning, and guidelines for measuring, social class and other aspects of socioeconomic position (e.g. income, poverty, deprivation, wealth, education) are discussed.
Abstract
Increasing social inequalities in health in the United States and elsewhere, coupled with growing inequalities in income and wealth, have refocused attention on social class as a key determinant of population health. Routine analysis using conceptually coherent and consistent measures of socioeconomic position in US public health research and surveillance, however, remains rare. This review discusses concepts and methodologies concerning, and guidelines for measuring, social class and other aspects of socioeconomic position (e.g. income, poverty, deprivation, wealth, education). These data should be collected at the individual, household, and neighborhood level, to characterize both childhood and adult socioeconomic position; fluctuations in economic resources during these time periods also merit consideration. Guidelines for linking census-based socioeconomic measures and health data are presented, as are recommendations for analyses involving social class, race/ethnicity, and gender. Suggestions for research on socioeconomic measures are provided, to aid monitoring steps toward social equity in health.

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Socioeconomic status and child development.

TL;DR: A variety of mechanisms linking SES to child well-being have been proposed, with most involving differences in access to material and social resources or reactions to stress-inducing conditions by both the children themselves and their parents.
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Racial Differences in Physical and Mental Health

TL;DR: Findings underscore the need for research efforts to identify the complex ways in which economic and non-economic forms of discrimination relate to each other and combine with socio-economic position and other risk factors and resources to affect health.
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Indicators of socioeconomic position (part 1)

TL;DR: This glossary presents a comprehensive list of indicators of socioeconomic position used in health research, with a description of what they intend to measure and how data are elicited and the advantages and limitation of the indicators.
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Socioeconomic Inequalities in Depression: A Meta-Analysis

TL;DR: In this article, a meta-analysis of 51 prevalence studies, five incidence studies, and four persistence studies was carried out to evaluate the magnitude, shape, and modifiers of such an association.
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Multilevel Analyses of Neighbourhood Socioeconomic Context and Health Outcomes: a Critical Review

TL;DR: The evidence for modest neighbourhood effects on health is fairly consistent despite heterogeneity of study designs, substitution of local area measures for neighbourhood measures and probable measurement error.
References
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Book

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TL;DR: The Logic of Hierarchical Linear Models (LMLM) as discussed by the authors is a general framework for estimating and hypothesis testing for hierarchical linear models, and it has been used in many applications.
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The truly disadvantaged : the inner city, the underclass, and public policy

TL;DR: Wilson's "The Truly Disadvantaged" as mentioned in this paper was one of the sixteen best books of 1987 and won the 1988 C. Wright Mills Award of the Society for the Study of Social Problems.
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Socioeconomic status and health: The challenge of the gradient.

TL;DR: There is evidence of a graded association with health at all levels of SES, an observation that requires new thought about domains through which SES may exert its health effects.
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