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Race and ethnicity in research

  • Concept

Race and ethnicity are social constructs; in research they are recorded by self-identification and interpreted with care.

Updated

What it is

Race and ethnicity are social and historical categories, not biological ones: genetic variation is greater within each group than between groups. Even so, they matter for health because they reflect differences in access, living conditions and discrimination that produce inequities. In research they are collected by self-identification, studies explain how and why they were measured, and they are not used as a stand-in for biology or ancestry.

Worked example

  1. Data (made up): 1 000 pregnant women in a hospital; 120 self-identify as Black or Afro-Colombian and have 6 cases of severe maternal morbidity.
  2. Rates by self-identification: 6 / 120 = 50 per 1 000; the rest, 22 / 880 = 25 per 1 000; RR = 50 / 25 = 2.0.
  3. If an observer records ethnicity, only 80 of the 120 are classified correctly (3 cases); 40 (with 3 cases) move to the rest.
  4. Rates with observer classification: 3 / 80 = 37.5 per 1 000; the rest, 25 / 920 ≈ 27.2 per 1 000.
  5. RR with observer classification: 37.5 / 27.2 ≈ 1.38; the inequity looks much smaller.
  6. Reading: misclassification hides almost two thirds of the excess risk; an RR of 2.0 calls for studying access and quality of care, not biology.

Practices when recording ethnicity in a study

PracticeRecommendedProblem it avoids
Self-identificationYes, with the official question and categoriesClassification by appearance
Explain why it is measuredYes, in the methodsUsing ethnicity with no hypothesis
Use ethnicity as a stand-in for genesNo; if ancestry matters, measure it directlyFalse biological conclusions
Analyse social determinantsYes: access, income, territory, discriminationBlaming the inequity on the group
LanguageNeutral and respectful, using the names the groups themselves useStigma

Markers

  • Self-identification
  • DANE
  • NARP
  • Differential approach
  • Inequity

In practice

  • In Colombia ethnic groups have constitutional recognition, and data by self-recognition guide policies with a differential approach.
  • A medical record or survey uses the same question and categories as DANE so the data are comparable.
  • When interpreting a difference, look for explanations in territory, insurance, access barriers and discrimination.

Common pitfalls

  • Classifying ethnicity by appearance or surname.
  • Using race as a biological explanation for a difference without measuring social determinants.
  • Merging distinct groups into one category to ‘get bigger numbers’.
  • Using terms the groups themselves do not recognise or that stigmatise.

Test yourself

Think of the answer, then tap the question to see it.

Why is race considered a social construct?

Because its categories change with history and society, and human genetic variation is greater within each group than between groups.

Which method is recommended for recording ethnicity in a study?

Self-identification: each person states which group they belong to, using a defined question and categories, ideally the country's official ones.

What does misclassification of ethnicity usually do to a difference between groups?

It usually dilutes it: by mixing people from different groups, the rates move closer and the inequity looks smaller than it is.

Which categories did DANE's 2018 census use in its ethnic self-recognition question?

Indígena; Gitano(a) o Rrom; Raizal del Archipiélago de San Andrés, Providencia y Santa Catalina; Palenquero(a) de San Basilio; Negro(a), mulato(a), afrodescendiente, afrocolombiano(a); Ningún grupo étnico.

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Connections

← All of epidemiology

Educational content on epidemiological and statistical methods; the examples use made-up numbers to teach the calculation. Not a clinical or legal guide: current Colombian rules are in the official sources.

Sources: Población negra, afrocolombiana, raizal y palenquera. Resultados del Censo Nacional de Población y Vivienda 2018 (Departamento Administrativo Nacional de Estadística (DANE), Colombia, 2019); A. Preparing a Manuscript for Submission to a Medical Journal (International Committee of Medical Journal Editors (ICMJE), 2026); Social determinants of health (World Health Organization, 2026).

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Representative model, for educational purposes only.