Cited by 46Racial and Ethnic Identity ResearchHealth disparities and outcomesGender, Health, and Social Inequality

Perceived discrimination and chronic health in adults from nine ethnic subgroups in the USA

Open access
Carlisle, Shauna K.·2015·Ethnicity & Health

Abstract

OBJECTIVE: This comparative analysis examines the association between chronic cardiovascular, respiratory and pain conditions, race, ethnicity, nativity, length of residency, and perceived discrimination among three racial and nine ethnic subgroups of Asian Americans (Vietnamese, Filipino, and Chinese), Latino-American (Cuban, Portuguese, and Mexican), and Afro-Caribbean American (Haitian, Jamaican, and Trinidadian/Tobagonian) respondents. DESIGN: Analysis used weighted Collaborative Psychiatric Epidemiology Surveys-merged data from the National Latino and Asian American Study and the National Survey of American Life. Logistic regression analysis was conducted to determine which groups within the model were more likely to report perceived discrimination effects. RESULTS: Afro-Caribbean subgroups were more likely to report perceived discrimination than Asian American and Latino-American subgroups were. Logistic regression revealed a significant positive association with perceived discrimination and chronic pain only for Latino-American respondents. CONCLUSION: Significant differences in reports of perceived discrimination emerged by race and ethnicity. Caribbean respondents were more likely to report high levels of perceived discrimination; however, they showed fewer significant associations related to chronic health conditions compared to Asian Americans and Latino-Americans. Examination of perceived discrimination across ethnic subgroups reveals large variations in the relationship between chronic health and discrimination by race and ethnicity. Examining perceived discrimination by ethnicity may reveal more complex chronic health patterns masked by broader racial groupings.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/13557858.2014.921891

Cites

60 of 60 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Other studies have found variations in correlation strength within Latino/a American groups and between Asian, African and Latino Americans in relation to chronic conditions.

    “Other studies have found variations in correlation strength within Latino/a American groups (Cubans, Mexicans, Dominicans and Puerto Ricans) [29] and between Asian, African and Latino Americans in relation to chronic conditions [417].”

    From Racism as a Determinant of Health: A Systematic Review and Meta-Analysis (2015) · cites this paper as [417]

    The Conclusion (page unavailable) reports variation by race and ethnicity in the relationship between perceived discrimination and chronic conditions. This supports the cited point about differing associations, but the study examines Afro-Caribbean Americans specifically, not African Americans broadly. The within-Latino comparison is attached to a different citation and is not assessed here. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Positive Activity Interventions aim to increase positive feelings, cognitions, and behaviors rather than to reduce negative ones.

    “PAIs are aimed at raising positive feelings, cognitions, and behaviors rather than reducing negative ones63.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Carlisle, S. K.
Affiliations
University of Washington Bothell (US)
Corresponding author
Carlisle, Shauna K.
Venue
Ethnicity & Health
Published
2014-06-12
Volume
20
Issue
3
Pages
309-326
ISSN
  • 1355-7858 (ISSN-L)
  • 1465-3419
OpenAlex
W2076589695
Cited by
46
References
60
Citations by year
2026: 2 · 2025: 10 · 2024: 2 · 2023: 8 · 2022: 3 · 2021: 4 · 2020: 4 · 2019: 1 · 2018: 2 · 2017: 5 · 2015: 5
FWCI
10.83
Type
journal article
Language
en
Open access
Locations
  • Ethnicity and Health (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007543, P2CHD042828)
Topics
  • Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
  • Social Sciences › Health › Health disparities and outcomes
  • Social Sciences › Sociology and Political Science › Gender, Health, and Social Inequality
Keywords
perceived discrimination, chronic disease, cardiovascular disease, respiratory diseases, chronic pain, race and ethnicity, nativity, length of residency, Asian Americans, Hispanic Americans, Vietnamese Americans, Filipino Americans, Chinese Americans, Cuban Americans, Mexican Americans, Haitian Americans, National Latino and Asian American Study, Collaborative Psychiatric Epidemiology Surveys
MeSH terms
Adolescent, Adult, Chronic Disease, Ethnicity, Female, Humans, Interviews as Topic, Male, Middle Aged, Prejudice, Surveys and Questionnaires, United States

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review