A statement of reaffirmation for this policy was published on February 1, 2006.
A statement of reaffirmation for this policy was published on May 1, 2009.

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PEDIATRICS Vol. 105 No. 6 June 2000, pp. 1349-1351

AMERICAN ACADEMY OF PEDIATRICS:
Race/Ethnicity, Gender, Socioeconomic Status---Research Exploring Their Effects on Child Health: A Subject Review

Committee on Pediatric Research


    ABSTRACT
Top
Abstract
Conclusion
References

Data on research participants and populations frequently include race, ethnicity, and gender as categorical variables, with the assumption that these variables exert their effects through innate or genetically determined biologic mechanisms. There is a growing body of research that suggests, however, that these variables have strong social dimensions that influence health. Socioeconomic status, a complicated construct in its own right, interacts with and confounds analyses of race/ethnicity and gender. The Academy recommends that research studies include race/ethnicity, gender, and socioeconomic status as explanatory variables only when data relevant to the underlying social mechanisms have been collected and included in the analyses.

During recent decades, our understanding of the biological and psychosocial bases of diseases affecting individual children has markedly increased.1,2 The capacity to apply newly derived information from molecular and genetic science toward preventive child health care will continue to grow in the coming years. Although biological research is necessary and valid, studies that do not address the importance of social determinants as fundamental causes or contributors to disease and unfulfilled potential limit the scope and impact of research conclusions.3

In the United States, data on research participants and populations frequently include race, ethnicity, and gender as categorical variables, with the assumption that these variables exert their effects through innate or genetically determined biologic mechanisms. There is a growing body of research that suggests, however, that these variables have strong---and in many areas predominantly---sociological and psychological dimensions. Because data are collected and research questions are formulated in ways that generally do not include the social as well as biological dimensions of these variables,4,5 it is often difficult to disentangle the biological from the social dimensions. The purpose of this subject review is to highlight the interrelationships among factors such as race, ethnicity, and gender, viewed as social constructs, along with socioeconomic status, and to stimulate appropriate definition and analysis of these variables within any study that proposes mechanisms of disease associated with them.

    RACE AND ETHNICITY

It is standard practice to describe participants and populations in terms of "race" or "ethnicity." For example, the decennial census has classified respondents according to the 1977 Office of Management and Budget Directive 15, which includes 4 racial categories (American Indian or Alaskan Native, Asian or Pacific Islander, Black, and White) and 2 ethnic categories (Hispanic Origin and not of Hispanic Origin). The recent revision of this Directive6 has expanded these categories to 5, by separating Asian from Pacific Islander and expanding the latter to "Native Hawaiian or other Pacific Islander," but the existence of this small number of categories limits investigators to use only those categories to frame and analyze questions. The Revised Directive 15 rejected the use of a "multiracial" category, but does recommend that the 2000 Census allow respondents to check more than 1 category.

Although race historically has been viewed as a biological construct, it is now known to be more accurately characterized as a social category that has changed over time and varies across societies and cultures.7 Racial disparities in health generally do not reflect biologically determined differences in the genome or physiology.8 Indeed, genetic differences between racial groups are small compared with genetic differences within groups, so racial differences in diseases are, to a significant degree, currently unexplained.9 It is possible that racial prejudice (both individual and institutional) as a social stress on groups of children and families can influence health behaviors, such as eating habits, activity levels, and substance use and abuse that might place individual children at increased risk for both short-term and long-term health impairment and disease.10-12 In addition to effects on behavior, racial prejudice may influence access to and the quality of health services.11-13 Similarly, difficulties in definition and measurement, heterogeneities of populations, and ethnocentric interpretations of research data8 make "ethnicity" an imprecise construct by which to attribute causal relationships. Given that race and ethnicity are similar in their social origins, that is, determined predominantly by the relationships among groups who define themselves or define others, the term race/ethnicity is becoming more widely used.

    GENDER

Sex and gender are often used interchangeably, but the former is a biologic characteristic, defined by genetic and anatomic features, whereas the latter is a social characteristic, determined by culturally defined roles and behaviors. Analogous to race/ethnicity, the development of gender is a function of relationships. Ironically, the genetic, physiologic, and behavioral differences between men and women have historically been deemphasized, if not ignored, in research that has extrapolated conclusions based on male populations to women. In recent years, recognition of the importance of considering differences between men and women as a salient independent variable in research led the National Institutes of Health to include women as participants for special consideration in clinical research grant applications, but the focus is primarily on the biological variable, that is, sex, rather than the social variable, gender.14

Inclusion of both men and women as participants in research studies is certainly a first step in understanding sex and gender differences in health and disease. However, given the health correlates of the differences in the social roles and behaviors of men and women, any differences found are not inevitable expressions of the biological factor. For example, the increased risk of anorexia and bulimia in girls likely reflects perceived social pressures to adhere to culturally prescribed norms for body shape and size. Furthermore, socially defined gender roles, expectations, and behavior can vary across both time and culture, as well as across subgroups of individuals, defined socially by race/ethnicity and socioeconomic status. For example, the social and psychological pressures experienced by an African-American woman might be very different from those experienced by a white woman, with these pressures having differential impact on the long-term trajectory of disease.15

    SOCIOECONOMIC STATUS

Analysis of the relationship among biological and social variables is complicated, however, by the difficulty in operationalizing socioeconomic status, a complex concept consisting of 2 aspects, both of which may exert influences on health directly or through associated behaviors. One aspect includes resources, such as education, income, and wealth and the other includes status or rank, a function of relative positions in a hierarchy, such as social class.16 A recent National Institutes of Health conference examined measures of socioeconomic status and proposed ways to incorporate a variety of these measures into health surveillance and research.17

Demonstrated racial/ethnic and gender "effects" may be intricately related to socioeconomic factors, because race/ethnicity interacts with and is confounded by social class or socioeconomic status. For example, environmental pollution may be more intense in impoverished areas and may even be sited in those areas because of discrimination based on race/ethnicity or class.18 Consequently, it is difficult to disentangle the adverse consequences of that pollution from the effects of discrimination. Although most studies of such confounding and/or interaction have focused on adults, the need for inquiries into such factors affecting child health is equally strong. Little is known about the way that the relationships among these social factors influence the health of children or their effects on the trajectory of the development of adult disease.

Two domains of the relationship between socioeconomic status and health are particularly active areas of research, possibly shedding light on the complexity of the mechanisms whereby this multidimensional variable influences health. The first domain deals with the relationship between the extent of discrepancies in socioeconomic status and health. Numerous studies have documented the relationship between socioeconomic status and health.19 Despite advances in quality and access to health care services, it is noteworthy that the discrepancy in health status between social classes has persisted over time, even though the specific diseases that produce morbidity and mortality have changed.20 Furthermore, standard measures of health correlate with the extent of income discrepancy between rich and poor, and the extent of income inequality appears to explain more of the variation in health than is explained by other socioeconomic factors, even the absolute level of income.20-22 Across industrialized countries, the greater the discrepancy in income distributions, the worse the health status of the entire population.20 Data across individual states within the United States demonstrate a similar relationship.21,22

The second domain of the relationship between socioeconomic status and health explores the relationship between childhood socioeconomic conditions and adult health. In Finland, for example, the childhood socioeconomic status of adult men correlated more closely with ischemic heart disease during middle age than did their adult socioeconomic status.23 Further research is needed to clarify how the socioeconomic status of children affects both their current and future health status.24

    CONCLUSION
Top
Abstract
Conclusion
References

The American Academy of Pediatrics acknowledges that race/ethnicity, gender, and socioeconomic status can influence child health through social mechanisms. The Academy recommends that child health studies include these critical variables to improve their definitions and enhance our understanding of the effects that relationships (confounding and interactive) among these variables may have on research findings. It is no longer sufficient to use these categories as explanatory. If data relevant to the underlying social mechanisms have not been collected and are otherwise unavailable, researchers should discuss this as a limitation of the possible conclusions of the presented research. The Academy concurs with the conclusions of a recent workshop sponsored by the Centers for Disease Control and Prevention/Agency of Toxic Substances and Disease Registry. Considering the use of race and ethnicity in public health surveillance,25 the workshop participants concluded that absent careful definitions and analysis, investigators and policymakers may draw erroneous conclusions about race/ethnicity as biologic contributors to illness. Similar errors may result from the failure to consider the social dimensions of gender.

The American Academy of Pediatrics believes that race/ethnicity, gender, and socioeconomic status are likely to emerge as important mediators of childhood health, as well as predictors of adult health status. The Academy recommends that pediatric investigators, in collaboration with social scientists, should develop and apply research methodologies in pediatric research that will result in careful definitions of, analysis of interactions among, and, ultimately, documentation of the effects of these variables on child health. Only then can effective preventive intervention strategies be developed and implemented during childhood to improve the health of our children and the adults into which they will grow.

COUNCIL ON PEDIATRIC RESEARCH, 1997-1998
Paul L. McCarthy, MD, Chairperson
Katherine Kaufer Christoffel, MD, MPH
Claibourne I. Dungy, MD, MPH
Matthew W. Gillman, MD, SM
Frederick P. Rivara, MD, MPH
John I. Takayama, MD, MPH

LIAISON REPRESENTATIVES
Duane F. Alexander, MD
  National Institute of Child Health and Human Development
Jon R. Almquist, MD
 Executive Board Representative
Mitchell S. Cairo, MD
 Society for Pediatric Research
Russell W. Chesney, MD
  National Association for Children's Hospitals and Related Institutions
Charles E. Irwin, Jr, MD
 Society for Adolescent Medicine
Lewis H. Margolis, MD, MPH
 American Public Health Association
Elizabeth R. McAnarney, MD
  Association of Medical School Pediatric Department Chairmen
Benard P. Dreyer, MD
 Ambulatory Pediatric Association
Peter van Dyck, MD, MPH
 Maternal and Child Health Bureau
Edward Rothstein, MD
 Practice-Based Research Consultant
David Schonfeld, MD
 Society for Developmental and Behavioral Pediatrics
Lisa Simpson, MB, Bch, MPH
 Agency for Health Care Policy Research
Reginald C. Tsang, MD
 American Pediatric Society

STAFF
Beth Yudkowsky, MPH

    FOOTNOTES

The recommendations in this statement do not indicate an exclusive course of treatment or serve as a standard of medical care. Variations, taking into account individual circumstances, may be appropriate.

    REFERENCES
Top
Abstract
Conclusion
References
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  3. Link BG, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Beh. 1995;(Spec):80-94
  4. Adler NE, Boyce T, Chesney MA, Socioeconomic status and health. Am Psychol. 1994; 49:15-24 [CrossRef][Medline]
  5. Krieger N, Rowley DL, Herman AA, Avery B, Phillips MT Racism, sexism, and social class: implications for studies of health, disease, and well-being. Am J Prev Med 1993; 9:82-122 [Medline]
  6. Office of Management and Budget Revisions to the standards for the classification of federal data on race and ethnicity. Federal Register. 1997; 62:58782-58790
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  8. Senior PA, Bhopal R Ethnicity as a variable in epidemiological research. Br Med J. 1994; 309:327-330 [Free Full Text]
  9. Lewontin RC, Rose S, Kamin LJ. Not in Our Genes: Biology, Ideology, and Human Nature. New York, NY: Pantheon Books; 1984
  10. Krieger N The making of public health data: paradigms, politics and policy. J Public Health Policy. 1992; 13:412-427 [CrossRef][Medline]
  11. LaVeist TA Beyond dummy variables and sample selection: what health services researchers ought to know about race as a variable. Health Serv Res. 1994; 29:1-16 [Medline]
  12. Todd KH, Samaroo N, Hoffman JR Ethnicity as a risk factor for inadequate emergency department analgesia. JAMA. 1993; 269:1537-1539 [Abstract/Free Full Text]
  13. Schulman K, Berlin J, Harless W, The effect of race and sex on physicians' recommendations for cardiac catheterization. N Engl J Med. 1999; 340:619-626
  14. Krieger N, Zierler S Accounting for health of women. Curr Issues Public Health. 1995; 1:251-256
  15. Geronimus AT The weathering hypothesis and the health of African-American women and infants: evidence and speculations. Ethn Dis. 1992; 2:207-221 [Medline]
  16. Krieger N, Williams DR, Moss NE Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health. 1997; 18:341-378 [CrossRef][Medline]
  17. Lee PR, Moss N, Krieger N Measuring social inequalities in health: report on the conference of the National Institutes of Health. Public Health Rep. 1995; 110:302-305 [Medline]
  18. Sexton K, Olden K, Johnson BL "Environmental justice": the central role of research in establishing a credible scientific foundation for informed decision making. Toxicol Ind Health 1993; 9:685-727 [Medline]
  19. Feinstein JS The relationship between socioeconomic status and health: a review of the literature. Milbank Q. 1993; 71:279-322 [CrossRef][Medline]
  20. Wilkinson RG. Unhealthy Societies: The Afflictions of Inequality. London, England: Routledge; 1996
  21. Kennedy BP, Kawachi I, Prothrow-Stith D Income distribution and mortality: cross-sectional ecological study of the Robin Hood index in the United States. Br Med J. 1996; 312:1004-1007 [Abstract/Free Full Text]
  22. Kaplan GA, Pamuk ER, Lynch JW, Cohen RD, Balfour JL Inequality in income and mortality in the United States: analysis of mortality and potential pathways. Br Med J. 1996; 312:999-1003 [Abstract/Free Full Text]
  23. Kaplan GA, Salonen JT Socioeconomic conditions in childhood and ischaemic heart disease during middle age. Br Med J. 1990; 301:1121-1123
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  25. CDC/ATSDR Workshop. Use of race and ethnicity in public health surveillance: summary of the CDC/ATSDR workshop. MMWR Morb Mortal Wkly Rep. 1993;42(RR-10):1-16

Pediatrics (ISSN 0031 4005). Copyright ©2000 by the American Academy of Pediatrics

Statements of reaffirmation:

AAP Publications Reaffirmed, October 2005
Pediatrics 2006 117: 577. [Extract] [Full Text] [PDF]

AAP Publications Retired and Reaffirmed
Pediatrics 2009 123: 1421-1422. [Extract] [Full Text] [PDF]



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