Abstract

This paper reviews 138 empirical quantitative population-based studies of self-reported racism and health. These studies show an association between self-reported racism and ill health for oppressed racial groups after adjustment for a range of confounders. The strongest and most consistent findings are for negative mental health outcomes and health-related behaviours, with weaker associations existing for positive mental health outcomes, self-assessed health status, and physical health outcomes. Most studies in this emerging field have been published in the past 5 years and have been limited by a dearth of cohort studies, a lack of psychometrically validated exposure instruments, poor conceptualization and definition of racism, conflation of racism with stress, and debate about the aetiologically relevant period for self-reported racism. Future research should examine the psychometric validity of racism instruments and include these instruments, along with objectively measured health outcomes, in existing large-scale survey vehicles as well as longitudinal studies and studies involving children. There is also a need to gain a better understanding of the perception, attribution, and reporting of racism, to investigate the pathways via which self-reported racism affects health, the interplay between mental and physical health outcomes, and exposure to intra-racial, internalized, and systemic racism. Ensuring the quality of studies in this field will allow future research to reveal the complex role that racism plays as a determinant of population health.

In recent years, there has been an emerging interest in the epidemiological study of racism and health. The manifestations of racism vary considerably across time and place but in general ensue from societal systems that produce an unequal distribution of power (and hence resources) in societies based on the notion of ‘race’,1 where race is a social rather than a biological construct related to the notion of essentialized innate phenotypical, ancestral, and/or cultural difference. This review considers only self-reported perceptions/experiences of racism (hereafter referred to as ‘self-reported racism’). Owing to its pervasive nature in contemporary societies racism is frequently not perceptible to individuals or, if perceived, may not always be reported.2 Hence, it should be clear that in focusing on self-reported racism this paper considers only a very specific subset of this multifarious phenomenon and does not attempt a comprehensive assessment of the impact of racism on population health.

A handful of previous reviews have attempted to provide an overview of certain aspects of this emerging area of epidemiological research. The first article to consider the health impact of racism (along with sexism and social class) was published by Krieger et al.3 in 1993. This was followed, in 1999, by a review, also by Krieger, of 15 studies examining ethnic and/or racial discrimination and health4 and, in 2000, by a review of 13 studies examining racism and mental health for African Americans by Williams et al.5 There were also three reviews published in 2003, with Wyatt et al.6 summarizing 19 studies relating racism to cardiovascular disease for African Americans, Brondolo et al.7 discussing studies relating racism to blood pressure (six studies) and cardiovascular reactivity (11 studies), and Williams et al.8 reviewing 53 population-based empirical studies of ethnic and/or racial discrimination, which were published from 1998 onwards and related to various health outcomes.

Drawing in particular on the most recent review by Williams et al.,8 this paper updates and expands upon these earlier reviews by examining the key characteristics of epidemiological studies of self-reported racism and health—where and when studies have been conducted, the race, age and gender of study populations, study designs, sample sizes, and data sources used. This review also aims to describe how self-reported racism is defined in the existing literature, how this exposure is measured in terms of method of administration, content and time frames of exposure, targets and perpetrators of racism, and settings in which racism is experienced as well as the variation in reporting of racism by various socio-demographic factors. The nature of associations found between self-reported racism and health is detailed for a range of health outcomes across various study and exposure characteristics along with identified effect modifiers and mediators of these associations. Possible future directions for research in this area are also presented.

Methods

A search of the PubMed, PsychINFO, and Sociological Abstracts databases was conducted using the terms: racism, racial discrimination, race AND discrimination, and perceived discrimination from the earliest records in these databases until the end of 2004. The inclusion criteria for this review required studies to: (i) be empirical; (ii) be quantitative; (iii) include a direct measure of self-reported or experienced racism as an exposure; (iv) include a direct measure of a health-related factor as an outcome; and (v) not be theses/treatises or conference proceedings (due to the difficulty of obtaining these documents). A sequential process of examining the title, abstract and main text of each article or book (chapter) was undertaken, with exclusion of documents occurring at each stage. The bibliographies of all articles meeting the inclusion criteria, as well as those of previous review articles, were also searched for further relevant studies, which were in turn acquired and checked against the inclusion criteria above. The study of racism in medical/health care is a fast-growing body of research in its own right9 and there is also existing research on the intersection of racism with other forms of oppressions10 [i.e. (hetero)sexism, classism, etc.]. However, reviewing these topics along with self-reported racism is beyond the scope of this paper and, hence, these issues are not addressed below.

Data pertaining to studies meeting the inclusion criteria were entered into a spreadsheet and analysed using basic descriptive statistics in Stata 8.0 for Windows (spreadsheet available upon request from the author). A formal meta-analysis was not conducted owing to both the heterogeneity of studies in terms of design, study populations, exposure and outcome measures and because only a small number of studies provided odds ratios (ORs) or similar effect sizes (see below), which could be weighted by study sample size into a combined estimate. Furthermore, publication bias was not assessed in this review.

Results

A total of 138 separate studies, with several studies published in the same paper, met the inclusion criteria for this review.11146Table 1 details the key characteristics of these studies [data on socioeconomic position (SEP) could not be included in Tables 1 and 2 owing to inconsistent stratification by and conceptualization/measurement of SEP in these 138 studies].147,148 Most of the 138 studies were published in the last 5 years (65%), used a cross-sectional study design (76%) with convenience (i.e. non-representative) samples (59%) of between 100 and 1000 adults (59%) and were conducted in the US (86%) with African Americans (69%).

Table 1

Characteristics of 138 empirical quantitative studies of self-reported racism and health


No. of studies
% of total studies
Year of publication
    1980–8411
    1985–8954
    1990–9475
    1995–993626
    2000–048965
Study design
    Cross-sectional10576
    Cohort1612
    Experimental129
    Case–control54
Sampling procedure
    Representative/Probability5741
    Convenience8159
Sample size
    n < 1002014
    100 ≤ n < 2003425
    200 ≤ n < 10004734
    n ≥ 10003727
Region of study
    US11886
    Europe129
    Canada32
    Australia/NZ21
    Barbados21
    Dominica11
Study populations
    Ethnic/racial groupa
        African American9569
        White3626
        Asian2720
        Latino/a2619
        Immigrants/refugees1511
        Indigenous54
    Agea
        Adults12691
        Children/adolescents2115
        College students1511
        Elderly21
    Gender (in studies of adults)
        Men and women9770
        Men only86
        Women only3324
Exposure instruments utilizedb,c
    Experiences of discrimination14,15139
    Everyday discrimination scale29,149129
    Schedule of racist events4597
    Nadanolitization scale15275
    Racism and life experience scales155,17975
    Perceived racism scale15364
    Major discrimination scale2943
    Perceived discrimination scale5032
    Index of race-related stress154,18032
Exposure administrationb
    Self-administered6849
    Interviewer-administered6547
Exposure time framea,b
    None7655
    Past year or less3022
    >1 year ≤5 years54
    Ever/lifetime3223
Length of exposure instruments utilizeda
    ≤9 items11180
    ≥10 items4833

No. of studies
% of total studies
Year of publication
    1980–8411
    1985–8954
    1990–9475
    1995–993626
    2000–048965
Study design
    Cross-sectional10576
    Cohort1612
    Experimental129
    Case–control54
Sampling procedure
    Representative/Probability5741
    Convenience8159
Sample size
    n < 1002014
    100 ≤ n < 2003425
    200 ≤ n < 10004734
    n ≥ 10003727
Region of study
    US11886
    Europe129
    Canada32
    Australia/NZ21
    Barbados21
    Dominica11
Study populations
    Ethnic/racial groupa
        African American9569
        White3626
        Asian2720
        Latino/a2619
        Immigrants/refugees1511
        Indigenous54
    Agea
        Adults12691
        Children/adolescents2115
        College students1511
        Elderly21
    Gender (in studies of adults)
        Men and women9770
        Men only86
        Women only3324
Exposure instruments utilizedb,c
    Experiences of discrimination14,15139
    Everyday discrimination scale29,149129
    Schedule of racist events4597
    Nadanolitization scale15275
    Racism and life experience scales155,17975
    Perceived racism scale15364
    Major discrimination scale2943
    Perceived discrimination scale5032
    Index of race-related stress154,18032
Exposure administrationb
    Self-administered6849
    Interviewer-administered6547
Exposure time framea,b
    None7655
    Past year or less3022
    >1 year ≤5 years54
    Ever/lifetime3223
Length of exposure instruments utilizeda
    ≤9 items11180
    ≥10 items4833

Percentages may not add to 100% due to rounding.

a

Categories are not mutually exclusive in relation to the unit of analysis (i.e. studies).

b

Categories in this section are not complete.

c

Includes only those instruments used in two or more studies.

Table 1

Characteristics of 138 empirical quantitative studies of self-reported racism and health


No. of studies
% of total studies
Year of publication
    1980–8411
    1985–8954
    1990–9475
    1995–993626
    2000–048965
Study design
    Cross-sectional10576
    Cohort1612
    Experimental129
    Case–control54
Sampling procedure
    Representative/Probability5741
    Convenience8159
Sample size
    n < 1002014
    100 ≤ n < 2003425
    200 ≤ n < 10004734
    n ≥ 10003727
Region of study
    US11886
    Europe129
    Canada32
    Australia/NZ21
    Barbados21
    Dominica11
Study populations
    Ethnic/racial groupa
        African American9569
        White3626
        Asian2720
        Latino/a2619
        Immigrants/refugees1511
        Indigenous54
    Agea
        Adults12691
        Children/adolescents2115
        College students1511
        Elderly21
    Gender (in studies of adults)
        Men and women9770
        Men only86
        Women only3324
Exposure instruments utilizedb,c
    Experiences of discrimination14,15139
    Everyday discrimination scale29,149129
    Schedule of racist events4597
    Nadanolitization scale15275
    Racism and life experience scales155,17975
    Perceived racism scale15364
    Major discrimination scale2943
    Perceived discrimination scale5032
    Index of race-related stress154,18032
Exposure administrationb
    Self-administered6849
    Interviewer-administered6547
Exposure time framea,b
    None7655
    Past year or less3022
    >1 year ≤5 years54
    Ever/lifetime3223
Length of exposure instruments utilizeda
    ≤9 items11180
    ≥10 items4833

No. of studies
% of total studies
Year of publication
    1980–8411
    1985–8954
    1990–9475
    1995–993626
    2000–048965
Study design
    Cross-sectional10576
    Cohort1612
    Experimental129
    Case–control54
Sampling procedure
    Representative/Probability5741
    Convenience8159
Sample size
    n < 1002014
    100 ≤ n < 2003425
    200 ≤ n < 10004734
    n ≥ 10003727
Region of study
    US11886
    Europe129
    Canada32
    Australia/NZ21
    Barbados21
    Dominica11
Study populations
    Ethnic/racial groupa
        African American9569
        White3626
        Asian2720
        Latino/a2619
        Immigrants/refugees1511
        Indigenous54
    Agea
        Adults12691
        Children/adolescents2115
        College students1511
        Elderly21
    Gender (in studies of adults)
        Men and women9770
        Men only86
        Women only3324
Exposure instruments utilizedb,c
    Experiences of discrimination14,15139
    Everyday discrimination scale29,149129
    Schedule of racist events4597
    Nadanolitization scale15275
    Racism and life experience scales155,17975
    Perceived racism scale15364
    Major discrimination scale2943
    Perceived discrimination scale5032
    Index of race-related stress154,18032
Exposure administrationb
    Self-administered6849
    Interviewer-administered6547
Exposure time framea,b
    None7655
    Past year or less3022
    >1 year ≤5 years54
    Ever/lifetime3223
Length of exposure instruments utilizeda
    ≤9 items11180
    ≥10 items4833

Percentages may not add to 100% due to rounding.

a

Categories are not mutually exclusive in relation to the unit of analysis (i.e. studies).

b

Categories in this section are not complete.

c

Includes only those instruments used in two or more studies.

Table 2

Findings of 138 empirical quantitative studies of self-reported racism and health (P < 0.05 unless otherwise indicated)


Positive associationa
Negative associationb
No associationc
Total
Negative mental health outcomes148(8)d (72%)1 (0%)57 (28%)206 (8)d
    Psychological/psychiatric/emotional distress40(3)12162 (3)
    Depression/depressive symptoms39(2)01352 (2)
    Obsessive-compulsive symptoms5005
    Somatization5005
    Anxiety150722
    Stress130619
    Negative effect90514
    Miscellaneous outcomes (examined in <3 studies)22(3)0527 (3)
Positive mental health outcomes9 (8%)52 (7)d (48)%47 (44%)108 (7)d
    Life/personal/patient/work satisfaction/quality127 (6)1644 (6)
    Self-esteem491326
    General mental health410(1)1125 (1)
    Miscellaneous outcomes (examined in <3 studies)06713
Negative physical health outcomes61 (2)d (36%)2 (1%)108 (63%)171 (2)d
    Increased blood pressure/hypertension19 (1)15979 (1)
    Infant low birth weight/decreased gestational age15 (1)01227 (1)
    Heart disease001212
    Increased heart rate51410
    Diabetes1067
    Increased body mass index1034
    Miscellaneous outcomes (examined in <3 studies)2001232
SF-12/36 positive physical health1067
Health-related behaviours21 (1) (62%)0 (0%)13 (38%)34 (1)
    Cigarette smoking4004
    Alcohol (mis)use80614
    Substance (mis)use5016
    Miscellaneous outcomes (examined in <3 studies)4(1)0610 (1)
Other outcomes15 (3) (17%)20 (2) (23%)52 (60%)87 (5)
    Positive health assessed via the SF-12/3612(1)25(1)
    Positive self-assessed health status3172040
    Miscellaneous outcomes (examined in <3 studies)11(3)1(1)3042(4)
All outcomes255 (14) (42%)75 (9) (12%)283 (46%)613 (23)

Positive associationa
Negative associationb
No associationc
Total
Negative mental health outcomes148(8)d (72%)1 (0%)57 (28%)206 (8)d
    Psychological/psychiatric/emotional distress40(3)12162 (3)
    Depression/depressive symptoms39(2)01352 (2)
    Obsessive-compulsive symptoms5005
    Somatization5005
    Anxiety150722
    Stress130619
    Negative effect90514
    Miscellaneous outcomes (examined in <3 studies)22(3)0527 (3)
Positive mental health outcomes9 (8%)52 (7)d (48)%47 (44%)108 (7)d
    Life/personal/patient/work satisfaction/quality127 (6)1644 (6)
    Self-esteem491326
    General mental health410(1)1125 (1)
    Miscellaneous outcomes (examined in <3 studies)06713
Negative physical health outcomes61 (2)d (36%)2 (1%)108 (63%)171 (2)d
    Increased blood pressure/hypertension19 (1)15979 (1)
    Infant low birth weight/decreased gestational age15 (1)01227 (1)
    Heart disease001212
    Increased heart rate51410
    Diabetes1067
    Increased body mass index1034
    Miscellaneous outcomes (examined in <3 studies)2001232
SF-12/36 positive physical health1067
Health-related behaviours21 (1) (62%)0 (0%)13 (38%)34 (1)
    Cigarette smoking4004
    Alcohol (mis)use80614
    Substance (mis)use5016
    Miscellaneous outcomes (examined in <3 studies)4(1)0610 (1)
Other outcomes15 (3) (17%)20 (2) (23%)52 (60%)87 (5)
    Positive health assessed via the SF-12/3612(1)25(1)
    Positive self-assessed health status3172040
    Miscellaneous outcomes (examined in <3 studies)11(3)1(1)3042(4)
All outcomes255 (14) (42%)75 (9) (12%)283 (46%)613 (23)

Many articles examined multiple outcomes and, hence, the number of associations (613) is greater than the number of articles (138). Percentages may not add to 100% because of rounding.

a

Increased exposure associated with higher levels of the health-related outcome.

b

Increased exposure associated with lower levels of the health-related outcome.

c

Exposure unrelated to the health-related outcome.

d

The figure in brackets indicates the subset of total associations in this cell that are significant at the 0.05 < P < 0.10 level rather than at the P < 0.05 level.

Table 2

Findings of 138 empirical quantitative studies of self-reported racism and health (P < 0.05 unless otherwise indicated)


Positive associationa
Negative associationb
No associationc
Total
Negative mental health outcomes148(8)d (72%)1 (0%)57 (28%)206 (8)d
    Psychological/psychiatric/emotional distress40(3)12162 (3)
    Depression/depressive symptoms39(2)01352 (2)
    Obsessive-compulsive symptoms5005
    Somatization5005
    Anxiety150722
    Stress130619
    Negative effect90514
    Miscellaneous outcomes (examined in <3 studies)22(3)0527 (3)
Positive mental health outcomes9 (8%)52 (7)d (48)%47 (44%)108 (7)d
    Life/personal/patient/work satisfaction/quality127 (6)1644 (6)
    Self-esteem491326
    General mental health410(1)1125 (1)
    Miscellaneous outcomes (examined in <3 studies)06713
Negative physical health outcomes61 (2)d (36%)2 (1%)108 (63%)171 (2)d
    Increased blood pressure/hypertension19 (1)15979 (1)
    Infant low birth weight/decreased gestational age15 (1)01227 (1)
    Heart disease001212
    Increased heart rate51410
    Diabetes1067
    Increased body mass index1034
    Miscellaneous outcomes (examined in <3 studies)2001232
SF-12/36 positive physical health1067
Health-related behaviours21 (1) (62%)0 (0%)13 (38%)34 (1)
    Cigarette smoking4004
    Alcohol (mis)use80614
    Substance (mis)use5016
    Miscellaneous outcomes (examined in <3 studies)4(1)0610 (1)
Other outcomes15 (3) (17%)20 (2) (23%)52 (60%)87 (5)
    Positive health assessed via the SF-12/3612(1)25(1)
    Positive self-assessed health status3172040
    Miscellaneous outcomes (examined in <3 studies)11(3)1(1)3042(4)
All outcomes255 (14) (42%)75 (9) (12%)283 (46%)613 (23)

Positive associationa
Negative associationb
No associationc
Total
Negative mental health outcomes148(8)d (72%)1 (0%)57 (28%)206 (8)d
    Psychological/psychiatric/emotional distress40(3)12162 (3)
    Depression/depressive symptoms39(2)01352 (2)
    Obsessive-compulsive symptoms5005
    Somatization5005
    Anxiety150722
    Stress130619
    Negative effect90514
    Miscellaneous outcomes (examined in <3 studies)22(3)0527 (3)
Positive mental health outcomes9 (8%)52 (7)d (48)%47 (44%)108 (7)d
    Life/personal/patient/work satisfaction/quality127 (6)1644 (6)
    Self-esteem491326
    General mental health410(1)1125 (1)
    Miscellaneous outcomes (examined in <3 studies)06713
Negative physical health outcomes61 (2)d (36%)2 (1%)108 (63%)171 (2)d
    Increased blood pressure/hypertension19 (1)15979 (1)
    Infant low birth weight/decreased gestational age15 (1)01227 (1)
    Heart disease001212
    Increased heart rate51410
    Diabetes1067
    Increased body mass index1034
    Miscellaneous outcomes (examined in <3 studies)2001232
SF-12/36 positive physical health1067
Health-related behaviours21 (1) (62%)0 (0%)13 (38%)34 (1)
    Cigarette smoking4004
    Alcohol (mis)use80614
    Substance (mis)use5016
    Miscellaneous outcomes (examined in <3 studies)4(1)0610 (1)
Other outcomes15 (3) (17%)20 (2) (23%)52 (60%)87 (5)
    Positive health assessed via the SF-12/3612(1)25(1)
    Positive self-assessed health status3172040
    Miscellaneous outcomes (examined in <3 studies)11(3)1(1)3042(4)
All outcomes255 (14) (42%)75 (9) (12%)283 (46%)613 (23)

Many articles examined multiple outcomes and, hence, the number of associations (613) is greater than the number of articles (138). Percentages may not add to 100% because of rounding.

a

Increased exposure associated with higher levels of the health-related outcome.

b

Increased exposure associated with lower levels of the health-related outcome.

c

Exposure unrelated to the health-related outcome.

d

The figure in brackets indicates the subset of total associations in this cell that are significant at the 0.05 < P < 0.10 level rather than at the P < 0.05 level.

Several large surveys were utilized in a number of studies in this review, with studies utilizing the same dataset focusing on different exposures, outcomes, and/or sub-samples. The surveys utilized were the National Survey of Black Americans,21,24,26,40,74,75,131 Detroit Area Study,28,29,74,106 Fourth National Survey of Ethnic Minorities,20,102 General Social Survey,13,40,143 Mexican American Prevalences and Services Survey in California,50,77 San Francisco Muni Health and Safety,17,18 MIDUS,22,73 and CARDIA surveys.14,110

Defining racism

Only a quarter of the studies (34 of the 138) in this review offered a definition of racism.13,19,20,23,24,29,3740,4345,49,50,53,62,64,65,69,74,77,88,99,105,108,112,119,125,131,134,139,143 Many of these definitions focused on the detrimental effects of racism (i.e. for non-White racial groups)13,23,24,37,38,4345,50,53,62,64,77,108,112,125,139 with only a few also highlighting the privileges accrued through racism for Whites.19,39,40,65,88 Similarly, racism was generally attributed to an ideology of inferiority23,88,144 or superiority29,69,105,112 rather than both.40 Notably, only about half of these definitions recognized systemic racism (i.e. racism occurring through societal organizations, institutions, laws, policies, practices, etc.) as well as interpersonal racism (i.e. racist interactions between people).13,19,20,23,24,40,43,50,64,69,74,77,88,105,112,125,139 Furthermore, several studies defined racism as differential treatment by race24,29,99,143 without specifying for which racial groups this treatment was positive or negative and, hence, in which instances racism differed from, for example, affirmative action.

Exposure measurement

A total of 152 different instruments/scales were used in the 133 studies in this review, which included a measure of self-reported racism (five experimental studies utilized racist stimuli instead of assessing self-reported racism).33,47,54,97,139 There was considerable variation in exposure measurement across these instruments, in terms of both content and length. Of these 152 measures, 111 were between 1 and 9 items in length (with 28 of these consisting of only a single item) and 48 were between 10 and 128 items in length. Self-reported racism was measured across a range of conceptual dimensions including experiences of discrimination (EOD) (i.e. racist behaviours/actions)20,39,68 such as racist attacks,16,102,146 harassment,38 exclusion,38,61,67,86,103 life events (e.g. being fired),3,22,28,29,45,106,124 and everyday discrimination/daily hassles (e.g. being refused service),22,25,2730,72,73,78,82,106,115,123 as well as racist affect (emotions)39 and stereotypes/beliefs.13,39,40,86,149,150 With the exception of two instruments69,153 used in seven studies,64,68,69,80,88,112,140 self-reported racism in these studies was assessed without collecting information on the race of the perpetrator.

Racism was also conceptualized by a number of studies in this review as a form of stress.11,22,30,33,37,39,48,52,60,62,64,65,78,81,82,84,88,91,101,103,110,113,120,124,126,137,144,154 Self-reported stress associated with self-reported racism was assessed in 14 studies included in this review. Of the 10 studies measuring self-reported racism and racism-related stress as two separate constructs, three failed to differentiate between these measures in their analysis.55,86,107 The remaining seven studies36,45,91,93,98,110 allow a comparison between self-reported racism and racism-related stress (i.e. the experience of racism as a form of stress) in terms of associations with health outcomes as detailed below.

Generally, the studies in this review assessed self-reported experiences of inter-personal racism and/or systemic racism, without explicitly indicating which of these levels of racism were being examined. Only a small number of studies explicitly assessed systemic racism,19,42,66,71,74,106,126,128,137,138,153,155,156 internalized racism (i.e. the incorporation of racist attitudes, beliefs, or ideologies into an individual's worldview),13,111,118,127,132134,136,151,152 or reactions and responses to racism.14,15,17,61,64,83 This review included 15 studies that specifically assessed self-reported racism for a respondent's entire ethnic/racial group.13,26,48,71,74,88,90,101,102,105,111,122,131,132,137

A number of exposure instruments examined EOD, which were not specifically attributed to race but, rather, measured generic discrimination without attributing to, or differentiating between, discrimination due to race, gender, sexuality, etc. during measurement and/or analysis. Instruments such as the everyday discrimination scale (EDS) were used as a non-specific measure of discrimination8,29,30,73,106,115 as was the Williams et al. 3-item measure of major discrimination28,29,106 along with several other measures.31,57,89

Of the 133 studies that included a measure of self-reported racism, 65 studies used an interviewer-administered measure with a further 68 studies using self administration. There were also six studies that assessed reported racism for family and friends of respondents.24,26,48,50,61,79 Exposure to racism was assessed across a range of settings including at work (reported as assessed in 52 studies), from goods/service providers (38 studies), in courts of law/from police (33), when seeking employment (31), in education (30), housing (22), health care (21), in public (16), from neighbours (12), friends (10), government agencies (7), and at home (4).

About a quarter (34) of the 138 studies used versions of three instruments as exposure measures. These were the EDS149 used in 12 studies,22,25,2730,73,78,82,106,115,123 a set of items developed by Krieger33 [now known, in a slightly varied form as the EOD and referred to below as such] used in 13 studies,14,15,17,23,51,53,62,84,109,110,112,114,116 and the Schedule of Racist Events (SREs)45 used in nine studies.36,44,91,93,98,104,107,120 These instruments have shown good internal reliability within a single study for both the EOD14 and the SRE,120 and in five studies for the EDS.27,30,78,82,123 Furthermore, the EDS has shown good construct validity in a sample of African American adolescents,157 the EOD has been psychometrically validated in a sample of African American, Latino, and White participants, showing high scale reliability and validity including test–retest reliability,2 and the SRE has been found to have good construct and concurrent validity.45 Other exposure measures that have been psychometrically validated include the Racism and Life Experiences Scale,155,157 the Perceived Racism Scale,158 and the Perceived Ethnic Discrimination Questionnaire.134,159

By their nature, 20 of the studies in this review could not include a time frame associated with exposure measurement as these studies assessed stereotypes/beliefs or used experimental interventions.3,33,40,41,43,47,54,90,94,95,97,101,117,126,131133,135,137,139 However, of the remaining 118 studies in which it was possible to specify a time frame, this occurred in only 42 studies. Of these 42 studies, 10 measured both past year and lifetime,36,44,45,91,93,98,109,111,146 or past 6 month,145 self-reported racism. A further nine studies measured self-reported racism over the past year14,20,49,57,72,78,100,102,107 and 20 studies measured self-reported racism over a lifetime.14,15,1719,22,25,29,34,52,56,61,71,80,81,99,105,106,110,113,123 Self-reported racism was assessed over the past 3,51,53,62 2,38 and 5 years89 as well as over the previous 6,37 3,55,134 and 1 month,24,26,40,70,75 during childhood,12,48 adulthood,12,48 since arriving in a particular country,35,65 or during a specific pregnancy.76,109,114

Socio-demographic variations in self-reported racism

The studies included in this review do not provide representative data on the prevalence of racism and, as such, data on this topic are not presented here. However, at present little is known about how self-reported racism varies by socio-demographic characteristics. Hence, this section presents available information from this review on such variation. The most consistent finding from the studies included in this review is that the prevalence of self-reported racism varies strongly and consistently by race, with non-White respondents experiencing more racism than White respondents.11,14,15,22,23,2730,37,51,66,82,89,106,108,110,114,115,123,129,134,143 Increased reporting of racism was generally associated with higher SEP13,1719,23,28,29,48 and also, in a few studies, with lower SEP,28,49,57 with a number of studies finding no variation in self-reported racism by income37,49,51,91,115 or education.37,51,91,115 Many studies have found that self-reported racism varies by gender with males reported a higher prevalence.16,34,35,44,52,92,103,115,160 In some studies this higher reporting by males occurred only in specific settings such as at work,14 getting a job,51 in education,22 from the police,22,51,87 legal system,87,160 in money and finances,22,160 in seeking medical care,160 or being threatened or harassed.134,160 However, a few studies have found that females report more racist experiences than males,57,104,134,144 which in two studies occurred in the specific setting of service provision.22,60 Several studies have found no variation in self-reported racism by sex/gender.18,37,130

The prevalence of self-reported racism was found to vary inconsistently with age, with some studies in this review finding more self-reported racism for older people,68,83,112 other studies finding the opposite,13,15,49,51 and a few studies finding no variation in self-reported racism with age.17,91,160 One study found that reports of discrimination (not specifically attributed to race) increased slightly with age for African Americans but decreased with age for European Americans.115

A high level of racial centrality (i.e. the extent to which a person defines himself/herself with regard to race) has also been associated with increased reporting of racism,72 but, as with the socio-demographic variations in self-reported racism presented above, this association is complex and, at present, poorly understood. In one study, higher levels of acculturation were associated with increased reporting of racism for Latino/a respondents born or educated in Mexico, but acculturation was also associated with decreased reporting of racism for Latino/a respondents born or educated in the US.77 Self-reported racism was also found to increase with years spent in the US and decreased fluency in English among recent East Asian migrants90 and, in one study, reported racism tended to increase for African Americans along with an increasing belief that other groups hold negative attitudes towards them.72

Associations between self-reported racism and health-related outcomes

Table 2 shows the associations found between self-reported racism and health-related outcomes in the 138 studies included in this review. These outcomes, grouped into broad categories, are shown alongside information on the extent to which associations between these outcomes and self-reported racism were statistically significant and in which direction. Most of these studies adjusted for a range of confounders, which are not shown in Table 2. Confounders adjusted for in three or more studies were socioeconomic and demographic factors such as age (adjusted for in 64 studies), education (55 studies), sex/gender (50), income/poverty (48), marital/partner status (25), racial/ethnic group (23), and employment/occupation (21). Health risk factors adjusted for in three or mores studies were stress (17), body mass index (12), smoking (10), social support (10), self-esteem (9), nativity (7), and acculturation (6).

Overall, 54% of health-related outcomes examined were significantly associated with self-reported racism (either positively or negatively). With 314 of the 613 health outcomes examined, and 62 of the 138 studies in this review relating to mental health, these outcomes were the most commonly studied. The most consistent association between self-reported racism and health was found for negative mental health outcomes, for which 72% of examined outcomes were significantly associated with self-reported racism, all in the expected direction (i.e. more self-reported racism associated with worse mental health outcomes). Although examined in far fewer studies, 62% of health-related behaviours were also significantly associated with racism (almost all in the expected direction). Only 48 and 36% of examined positive mental health outcomes and negative physical health outcomes, respectively, were significantly associated with self-reported racism with 8 and 1% of these associations, respectively, being in the opposite direction to the expected (i.e. more self-reported racism associated with better health outcomes).

There were 10 studies reporting the percentage of variance explained by self-reported racism.32,39,52,64,68,72,81,82,136 The variance explained ranged from 432,68 to 42%136 with a median and mode of 18%. A total of 43 statistically significant ORs were also reported across 21 studies (there were also five relative risks reported from three studies15,84,99 and two ORs of <1.0 reported for positive health outcomes,26,124 which are not considered here). Of these ORs, 18 fell between 1.00 and 1.9, 20 between 2.0 and 2.8, and 5 between 3.0 and 3.5, with this range of ORs due, in part, to the sample sizes of the underlying studies. A handful of studies found various non-linear associations between self-reported racism and ill health,14,15,17,69 while twice as many studies found a linear dose–response association.13,57,67,69,78,109,110,116

This review included 26 studies in which health outcomes including blood pressure,14,27,47,54,58,64,68,80,83,87,93,112,127,139,142 birth weight,76,84,96,109,110,114,116 BMI/obesity,43,117,135 and mortality26 were objectively measured by physicians/researchers rather than self-reported by participants. Of these objectively measured negative physical health outcomes, 44% were significantly associated with self-reported racism compared with 36% of all negative physical health outcomes included in this review (which included these objectively measured outcomes along with self-reported outcomes). Such a discrepancy may be due to confounding between exposure and outcome measures, which are both self-reported; an effect that has been noted in the broader stress literature.161

As discussed above, there were seven studies examining health outcomes in relation to both racism and racism-related stress. Both racism and racism-related stress had similar associations with health-related outcomes in three of these studies.36,45,98 In the remaining four studies, racism-related stress, but not racism itself, was associated with increased systolic blood pressure69; psychological distress91; somatization, depression, anxiety, psychoticism93; and smoking.98

Associations between study/exposure characteristics and health-related outcomes

The statistical significance (at the P < 0.05 level) of associations between self-reported racism and health-related outcomes also differed by a number of study and exposure characteristics as shown in Table 3. The highest proportion of significant associations occurred in studies published before the year 2000, measured self-reported racism over the past year/using no specified time frame, and used an exposure measure of 10 items or more in length or the SRE. Cross-tabulations of year of publication by other variables in Table 3 (analysis not shown) did not reveal any consistent patterns that would explain this finding.

Table 3

Significance of associations examined in 138 empirical quantitative studies of self-reported racism and health (P < 0.05)


No. of significant associations
Total no. of associations examined
% of associations which were significant
Year of publication
    Before 200011419758
    2000–0421641652
Study design
    Cross-sectional24245653
    Cohort417753
    Experimental396857
    Case–control81267
Sampling procedure
    Representative/probability15528355
    Convenience17533053
Sample size
    n < 1005010050
    100 ≤ n < 2007613258
    200 ≤ n < 100010320351
    n ≥ 100010117857
Region of study
    US27450754
    Outside the US5610653
Study populations
    Ethnic/racial groupa,b
        African American21841952
        White7113254
        Asian7613755
        Latino/a6211156
        Immigrants/refugees254063
    Agea,b
        Adults30357053
        Children/adolescents699970
        College students537967
    Gender (in studies of adults)
        Men and women24346352
        Men only152854
        Women only7212259
Exposure instruments utilizedb
    Everyday discrimination scale29,149337445
    Experiences of discrimination14,15175630
    Schedule of racist events45495688
Exposure administrationb
    Self-administered15429353
    Interviewer-administered15429452
Exposure time framea,b
    None15425860
    Past year or less11319857
    >1 year ≤5 years72133
    Ever/lifetime10020549
Length of exposure instruments utilizeda
    ≤9 items23747050
    ≥10 items13919272

No. of significant associations
Total no. of associations examined
% of associations which were significant
Year of publication
    Before 200011419758
    2000–0421641652
Study design
    Cross-sectional24245653
    Cohort417753
    Experimental396857
    Case–control81267
Sampling procedure
    Representative/probability15528355
    Convenience17533053
Sample size
    n < 1005010050
    100 ≤ n < 2007613258
    200 ≤ n < 100010320351
    n ≥ 100010117857
Region of study
    US27450754
    Outside the US5610653
Study populations
    Ethnic/racial groupa,b
        African American21841952
        White7113254
        Asian7613755
        Latino/a6211156
        Immigrants/refugees254063
    Agea,b
        Adults30357053
        Children/adolescents699970
        College students537967
    Gender (in studies of adults)
        Men and women24346352
        Men only152854
        Women only7212259
Exposure instruments utilizedb
    Everyday discrimination scale29,149337445
    Experiences of discrimination14,15175630
    Schedule of racist events45495688
Exposure administrationb
    Self-administered15429353
    Interviewer-administered15429452
Exposure time framea,b
    None15425860
    Past year or less11319857
    >1 year ≤5 years72133
    Ever/lifetime10020549
Length of exposure instruments utilizeda
    ≤9 items23747050
    ≥10 items13919272

Percentages may not add up to 100% because of rounding.

a

Categories in this section are not mutually exclusive.

b

Categories in this section are not complete.

Table 3

Significance of associations examined in 138 empirical quantitative studies of self-reported racism and health (P < 0.05)


No. of significant associations
Total no. of associations examined
% of associations which were significant
Year of publication
    Before 200011419758
    2000–0421641652
Study design
    Cross-sectional24245653
    Cohort417753
    Experimental396857
    Case–control81267
Sampling procedure
    Representative/probability15528355
    Convenience17533053
Sample size
    n < 1005010050
    100 ≤ n < 2007613258
    200 ≤ n < 100010320351
    n ≥ 100010117857
Region of study
    US27450754
    Outside the US5610653
Study populations
    Ethnic/racial groupa,b
        African American21841952
        White7113254
        Asian7613755
        Latino/a6211156
        Immigrants/refugees254063
    Agea,b
        Adults30357053
        Children/adolescents699970
        College students537967
    Gender (in studies of adults)
        Men and women24346352
        Men only152854
        Women only7212259
Exposure instruments utilizedb
    Everyday discrimination scale29,149337445
    Experiences of discrimination14,15175630
    Schedule of racist events45495688
Exposure administrationb
    Self-administered15429353
    Interviewer-administered15429452
Exposure time framea,b
    None15425860
    Past year or less11319857
    >1 year ≤5 years72133
    Ever/lifetime10020549
Length of exposure instruments utilizeda
    ≤9 items23747050
    ≥10 items13919272

No. of significant associations
Total no. of associations examined
% of associations which were significant
Year of publication
    Before 200011419758
    2000–0421641652
Study design
    Cross-sectional24245653
    Cohort417753
    Experimental396857
    Case–control81267
Sampling procedure
    Representative/probability15528355
    Convenience17533053
Sample size
    n < 1005010050
    100 ≤ n < 2007613258
    200 ≤ n < 100010320351
    n ≥ 100010117857
Region of study
    US27450754
    Outside the US5610653
Study populations
    Ethnic/racial groupa,b
        African American21841952
        White7113254
        Asian7613755
        Latino/a6211156
        Immigrants/refugees254063
    Agea,b
        Adults30357053
        Children/adolescents699970
        College students537967
    Gender (in studies of adults)
        Men and women24346352
        Men only152854
        Women only7212259
Exposure instruments utilizedb
    Everyday discrimination scale29,149337445
    Experiences of discrimination14,15175630
    Schedule of racist events45495688
Exposure administrationb
    Self-administered15429353
    Interviewer-administered15429452
Exposure time framea,b
    None15425860
    Past year or less11319857
    >1 year ≤5 years72133
    Ever/lifetime10020549
Length of exposure instruments utilizeda
    ≤9 items23747050
    ≥10 items13919272

Percentages may not add up to 100% because of rounding.

a

Categories in this section are not mutually exclusive.

b

Categories in this section are not complete.

As shown in Table 3, studies with exposure instruments of 10 or more items in length had somewhat more significant associations (72%) than studies with exposure instruments of <10 items in length (50%), despite a range of health outcomes (both mental and physical) measured by instruments of these differing lengths. Less than half of the health outcomes examined using the EDS (45%) and the EOD (30%) showed significant associations whereas 86% of health outcomes examined using the SRE were significant. This strong finding for the SRE occurred despite a range of study populations and health outcomes examined in the studies utilizing this instrument (results not shown).

Of the studies measuring racism over an explicit time frame of 12 months or less, 57% of examined associations were significant whereas the corresponding figure was only 49% for studies measuring self-reported racism over a lifetime. This difference occurred despite the fact that these two categories were not mutually exclusive with 10 studies measuring self-reported racism over the past 12 months as well as over a lifetime.36,37,44,45,91,93,98,109,111,120 Of these 10 studies, five studies measured, analysed and reported on these two different exposure time frames for the same study sample.45,91,93,98,109 These five studies found that both exposure time frames were associated with markers of psychological distress,45,93 past year but not lifetime self-reported racism was associated with health outcomes such as very low birth weight109 and psychological distress,91,93 and lifetime but not past year self-reported racism was associated with smoking.98

A number of studies specifically compared associations between self-reported racism and health for various ethnic/racial groups. Several of these studies found that self-reported racism was related to ill-health for African Americans and Latino/a but not Whites,11,13,14,30,82,114,143 while, in other studies, similar associations were found between self-reported racism and health outcomes for Whites and non-Whites,33,73,114,129,143 with one study finding an association between self-reported racism and psychological distress for Whites but not African Americans.89 Results from all the studies reviewed here, as shown in Table 3, suggest that the association between self-reported racism and health-related outcomes for studies that included White participants is comparable with the findings of studies involving other ethnic/racial groups.

Effect modification of the association between self-reported racism and health-related outcomes

The associations between self-reported racism and health-related outcomes examined in this review were modified by a number of psychosocial factors, which either intensified or attenuated the association between self-reported racism and health. Having a strong sense of racial/ethnic identity or concept,70,72,92 participation in traditional activities,67 spirituality,93 religious support seeking/instrumental social support,85 and having personality traits such as hardiness48 were found to attenuate the adverse effects of self-reported racism on depressive symptoms,67,70,72 psychological distress,48,92,93 and self-assessed health status.85 Other research suggests that racial socialization (i.e. explicit discussion of race/racism) imparted by parents or caregivers, but not personal beliefs about racial socialization, may attenuate the detrimental effects of self-reported racism on mental health.44 Self-esteem,44 stressful events,101 and substance misuse81 have all been noted as effect modifiers, which intensify the detrimental effect of self-reported racism on mental health,44 life satisfaction,101 and anxiety/depression.81

A range of socio-demographic factors has also been found to act as effect modifiers of the association between self-reported racism and health. One study found that the ill effects of self-reported racism on psychological health were intensified for women compared with men and attenuated for Mexican Americans compared with African Americans or Whites.73 In another study, self-reported systemic racism in the workplace increased psychological distress to a greater extent among African Americans of higher SEP compared with those of lower SEP.74 Another study found that the deleterious effect of mother-reported racism on infant birth weight was exacerbated for mothers aged 20–29, with over 12 years of education, or income in the second lowest bracket,109 and other research has noted that self-reported racism has an intensified association with depression for respondents who were native to the US, had higher levels of acculturation, or were female.77

Coping responses have also received some attention as effect modifiers of the association between self-reported racism and health in the studies reviewed here. Active/expressive responses to racism (including seeking social support), but not passive/internalizing responses, have been found to attenuate the association of self-reported racism with depression.61 There is also evidence more generally of the beneficial effect of active rather than passive coping on health outcomes,14,15,69,83,111,114 where these factors have been assessed as independent variables in their own right rather than as effect modifiers. However, there is also evidence that seeking social support may not be protective among those who lack sufficient social resources61,65 and the effectiveness of coping strategies more generally are likely to be very context dependent.162 Another potential effect modifier is the phenomenon of John Henryism (the tendency to work extremely hard to disprove stereotypes of laziness and inability),58 which has been found to reduce blood pressure reactivity in African American women exposed to low levels of acute racism.142 Emotion-focused (as opposed to problem-focused) coping has also been found to reduce blood pressure reactivity during an acute speaking task about racist experiences.163 More general research, which does not examine effect modification, has suggested that the passive response of self-blame and the active response of John Henryism may both be detrimental in the context of chronic racism,64 while emphasizing the positive (a passive response) and trying to change the chronic experience of racism itself (an active response) may be protective.64 Respondents in the studies reviewed here appear to be 2–3 times more likely to use active coping responses such as talking with others and doing something about racism rather than passive coping responses such as keeping quiet, accepting or ignoring racism.14,15,17,61,64,83

Mediation of the association between self-reported racism and health-related outcomes

A number of mediators (i.e. intervening variables on the causal pathway) between self-reported racism and health have also been identified. Several studies found that the association between self-reported racism and health is completely or partially mediated by stress.29,50,72,78,123 Self-esteem was also found to mediate between self-reported racism and blood pressure,127 psychological distress,12 and depression/anxiety for male but not female adolescents.103 The associations between self-reported racism and substance use, self-assessed health, alcohol abuse, and impaired fasting glucose have also been found to be mediated by psychological distress,104 depression,50 historical loss,118 and waist circumference,135 respectively. Self-reported racism was itself found to be a mediator of the association between healthy food beliefs and healthy dietary behaviour,113 between financial stress and well being,39 and between religious orientation and alcohol consumption.94,95

Discussion

This review suggests that there is an association between self-reported racism and ill health after adjustment for a range of commonly measured confounders. The most consistent findings in this body of research to date have been for negative mental health outcomes and health-related behaviours and evidence from longitudinal studies also suggests that self-reported racism precedes ill health rather than vice versa. This review also indicates continuing debate in this emerging field of research about the aetiology of self-reported racism and health in terms of both relevant time periods and pathways/mechanisms of effect, especially in relation to the relatively stronger association between self-reported racism and mental health outcomes as compared with physical health outcomes, and the relationship between stress and self-reported racism. These issues are discussed below along with current limitations of this nascent research field and possible directions for future research. It should be noted that considerable research has been conducted into factors influencing the perception, attribution, and reporting of racism4,5,7,10,164171 and, although vital to the study of self-reported racism and health, an overview of this research is beyond the scope of this paper.

Although it is clear that the aetiologically relevant time period for self-reported racism varies markedly by the health outcome in question, there is nonetheless debate on the appropriateness of specifying time frames in general for measuring self-reported racism. Some have argued that respondents do not assess or report racism in accordance with specified time frames and that, given the long-lasting nature of racist experiences, an unspecified time frame is the most appropriate.154 However, it is unclear whether respondents report recent and/or highly salient/traumatic experiences of racism when responding to questions without a specified time frame. Also, the inclusion of an explicit time frame on surveys in general,172 as well as those assessing racism165 is necessary to estimate the rate of exposure and to avoid confounding time-series analyses.165 The results from this review suggest that studies which either leave exposure time frames unspecified or utilize a time frame equal to a year or less are associated with the highest proportion of statistically significant associations and may tap into the same set of recent experiences. It may be that experiences of racism in the past year are more aetiologically relevant to the health outcomes assessed in this review or to health outcomes in general. It is also possible that a shorter time frame of exposure measurement ameliorates the effects of recall bias and/or maximizes the variability of self-reported racism given that lifetime prevalence of this exposure is very high (60–84%).7 By measuring, and comparing with various health outcomes, self-reported racism over different time frames within the same study, future research will be able to further our understanding of the aetiologically relevant time period of exposure for this health risk condition.

There are a number of possible explanations for the finding that self-reported racism is more strongly association with mental rather than physical health outcomes. As noted by others,173 it is possible that the association between racism and mental health is exaggerated or spurious owing to factors in the self-reporting of both exposure and outcome. This confounding has been found in relation to stress174 and, as detailed above in relation to objectively measured vs self-reported health outcomes, may be at play in the studies reviewed here. If not caused by measurement artifice, it is possible that the relatively weaker association between racism and physical health occurs because racism has a lagged effect on physical health89 mediated by negative mental health outcomes. However, none of the studies in this review reported on interactions between mental and physical health outcomes in relation to self-reported racism and future research on such putative interactions and possible lagged effects is required.

The relatively stronger association between self-reported racism and mental health outcomes also raises questions about the mechanisms by which racism affects health.

It may be that either direct pathopsychological effects on the brain or indirect neurophysiological changes wrought through other body systems (or a combination of both) mediate the association between self-reported racism and poor mental health outcomes. Studies that employ pharmacological blocks as well as brain imaging techniques should shed light on the psychophysiology of racism.175 Researchers in the field of stress are now examining biomarkers specific to body systems (i.e. cardiovascular, neuroendocrine, and immune)176 with evidence emerging that specific stressors differentially affect various physiological systems.178 Similar research on racism would add to our currently scarce knowledge of the biological processes through which this exposure affects health.8

Research on self-reported racism is also hampered by debate about the relationship between racism and stress. Most studies reviewed here have conceptualized racism as a construct separate from stress. As shown in Table 2, of the 19 associations between self-reported racism and stress as a health outcome examined in this review, 13 were found to be significant positive associations. As detailed above, there is also evidence that the association between self-reported racism and health can be both mediated and moderated by stress and that the association between stress and health can be mediated by self-reported racism. At the same time, several studies have found that stress and self-reported racism are both independently related to health. It has been suggested that it is not appropriate to weight the stressfulness of racist experiences, as this approach confounds exposure measurement with reactions to exposure8 and may not add to the predictive power of exposure instruments.178 However, findings from studies examining racism-related stress, as presented above, indicate that the constructs of racism and racism-related stress may be distinct. Unfortunately, there is also considerable debate in the stress literature more broadly about how to characterize stress as an epidemiological exposure,178 and further conceptual and empirical work will be necessary to clarify the association between self-reported racism and stress.

Other limitations in this emerging field of research include the reporting of effect sizes in relatively few studies, a reliance on non-representative sampling, cross-sectional studies involving adults, and a lack of psychometric validation of commonly used exposure instruments. Although one cross-sectional study has measured retrospective exposure to racism in childhood12 and another found an association between parental denial of racism and child mental health status,111 only 12 and 15% of studies have used longitudinal designs or involved children, respectively. More consistent reporting of effect sizes across different levels of exposure will allow meta-analyses of the association between self-reported racism and health. As detailed above, only a handful of studies have undertaken psychometric validation of the commonly used exposure instruments and further validation and comparison of these instruments is warranted. Furthermore, only 19% of the studies reviewed here have used data from existing regular omnibus surveys and only 19% of studies have utilized objectively reported, rather than self-reported, health outcomes. Inclusion of self-reported racism measures in existing survey vehicles, which collect data on objectively measured health outcomes, should be sought by researchers.

One topic that has received little attention in the literature to date is intra-racial racism. This form of racism occurs when an individual is discriminated against because of their race by a member of their own ethnic/racial group, as opposed to inter-racial racism where discrimination is also based on the notion of race but where the perpetrator and target of racism are from different racial groups. There is evidence to suggest that members of oppressed racial groups are more likely to consider negative behaviours from members of their own racial group to be discriminatory compared with similar behaviours from members of other racial groups.169 One recent study found that 28% of African Americans and 15% of Latinos reported intra-racial racism as the most prevalent form of racism they experienced,159 and in another study 15% of ‘problematic life experiences’ were attributed to intra-racial racism.160 However, only a single study included in this review specifically examined experiences of intra-racial racism.69 This study found that intra-racial racism-related stress was associated with greater increases in blood pressure in comparison with inter-racial racism-related stress.69 Clearly, further research on intra-racial racism and its association with health outcomes, is required. Similarly, a better understanding of vicarious racism (racism experienced by family or friends), systemic racism, and setting-specific racism (e.g. racism in the workplace, home, etc.) is needed to advance the study of self-reported racism and health.

Further research is also needed to elucidate the complex processes by which socio-demographic, psychosocial, and coping factors modify the association between self-reported racism and health. Furthermore, although many studies in this review examined White as well as non-White study populations, most of these studies statistically adjusted for race rather than undertaking stratified analyses. Such stratification will be required to clarify the differing associations between self-reported racism and health for dominant and minority racial group members.

Epidemiological research on the association between self-reported racism and health has only recently emerged as a body of research and it is clear that further investigation of this widespread and apparently damaging health risk condition is warranted. Rigorous methodological approaches and conceptual clarity will be needed to reveal how self-reported racism functions as a determinant of population health.

KEY MESSAGES

  • A relationship between self-reported racism and ill-health after adjustment for a range of confounders is evident from the 138 studies reviewed here.

  • The strongest and most consistent association is between racism and poor mental health outcomes.

  • This emerging field of study is limited by a dearth of cohort studies, few psychometrically validated instruments, infrequent use of objectively measured health outcomes and poor conceptualization of racism.

  • As well as addressing these limitations, future research could also investigate the pathways via which racism affects health, the interplay between mental and physical health and exposure to intra-racial, internalized, and systemic racism.

I am grateful to Dr Emma Kowal, A/Prof Joan Cunningham, two anonymous reviewers, and the editors of this journal for valuable feedback on drafts of this paper. The author is funded by an Australian National Health and Medical Research Council (NHMRC) Training Scholarship for Indigenous Health Research (#193321) and a NHMRC Population Health Capacity-Building Grant (#236235) as well as a Cooperative Research Centre for Aboriginal Health scholarship. The Aboriginal and Torres Strait Islander Commission and Australian-American Fulbright Commission also supported the author during work on this article.

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