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A life course perspective on how racism may be related to health inequities.

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TLDR
A framework that shows how racism and health inequities may be viewed from a life course perspective is suggested, which suggests an overarching idea that racism can structure one's time in asset-building contexts or disadvantaged contexts.
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Racism as a Determinant of Health: A Systematic Review and Meta-Analysis

TL;DR: Racism was associated with poorer mental health, including depression, anxiety, psychological stress and various other outcomes, and the association between racism and physical health was significantly stronger for Asian American and Latino(a) American participants compared with African American participants.
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Racism and Health: Evidence and Needed Research.

TL;DR: An overview of the evidence linking the primary domains of racism-structural racism, cultural racism, and individual-level discrimination-to mental and physical health outcomes is provided.
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Racism and Health I: Pathways and Scientific Evidence

TL;DR: A large and growing body of evidence indicates that experiences of racial discrimination are an important type of psychosocial stressor that can lead to adverse changes in health status and altered behavioral patterns that increase health risks.
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Self-reported experiences of discrimination and health: scientific advances, ongoing controversies, and emerging issues.

TL;DR: Controversy remain, particularly around the best approach to measuring experiences of discrimination, the significance of racial/ethnic discrimination versus overall mistreatment, the need to account for "intersectionalities," and the importance of comprehensive assessments, along with emerging areas of emphasis.
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Discrimination and health inequities.

TL;DR: Even as the number of investigations has dramatically expanded, the scope remains narrow: studies remain focused primarily on interpersonal discrimination, and scant research investigates the health impacts of structural discrimination, a gap consonant with the limited epidemiologic research on political systems and population health.
References
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Book

Hierarchical Linear Models: Applications and Data Analysis Methods

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.
Journal ArticleDOI

Hierarchical Linear Models: Applications and Data Analysis Methods.

TL;DR: This chapter discusses Hierarchical Linear Models in Applications, Applications in Organizational Research, and Applications in the Study of Individual Change Applications in Meta-Analysis and Other Cases Where Level-1 Variances are Known.
Book

Applied Longitudinal Data Analysis

TL;DR: In this paper, a framework for investigating change over time is presented, where the multilevel model for change is introduced and a framework is presented for investigating event occurrence over time.
Journal ArticleDOI

From social integration to health: Durkheim in the new millennium.

TL;DR: In this article, the authors present a conceptual model of how social networks impact health, and argue that networks operate at the behavioral level through four primary pathways: (1) provision of social support; (2) social influence; (3) on social engagement and attachment; and (4) access to resources and material goods.
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Social Conditions as Fundamental Causes of Disease

TL;DR: It is argued that social factors such as socioeconomic status and social support are likely 'fundamental causes" of disease that affect multiple disease outcomes through multiple mechanisms, and consequently maintain an association with disease even when intervening mechanisms change.
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