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Research method

Cohort Study

A cohort study follows a defined population over time, assigns an exposure (residence, a monitor surface, or a biospecimen), and then counts later outcomes. People are not randomised to polluted water or clean air. Some papers in this set are individual-level Cox or growth models; others are ecological standardised-mortality comparisons of whole municipalities; a few are pregnancy or surgery samples that measure chemicals without a later clinical endpoint.

Environmental epidemiologists reach for cohorts when they need years of follow-up for deaths, cancers, preterm birth or children's growth under real-world pollution. The design answers 'did people who lived here, or who carried this measured burden, have higher rates later?' Its main limitation is that an SMR for a 'Red area' is not an individual PFAS dose, a Cox HR per 10 μg/m³ is not a trial of cleaner air, and a single serum phthalate cannot establish that the chemical came first.

Studies

17

Findings

6

6 supporting · 0 challenging · 0 qualifying citations

Open tensions

2

Currently

What we know

  1. The Veneto 'Red area' (30 municipalities, ~153,525 people) is an ecological SMR study split around 1985 contamination. From 1985–2018 there were 51,621 deaths versus 47,731 expected (SMR 108; 3,890 excess) and no excess in 1980–1984. Later periods included kidney cancer (SMR 173 in one analysis) and testicular cancer in Red area A (SMR 256 for 1985–1999). Median serum PFOA was 14 ng/mL — a community marker, not a person-level dose.
  2. Individual-level Cox models in the Canadian Community Health Survey cohort assigned 3-year satellite/land-use PM₂.₅ and followed deaths up to 12 years. The fully adjusted non-accidental HR was 1.26 per 10 μg/m³; respiratory mortality was strongest (HR 1.52). Risk remained elevated below the then-WHO 10 μg/m³ guideline.
  3. In the Danish Diet, Cancer and Health cohort, time-weighted residential NOₓ from 1971 and traffic load within 200 m were screened against 20 non-lung cancers. After adjustment, cervical and brain cancers associated with residential NOₓ and/or nearby major streets; brain cancer was almost doubled near high-traffic streets. Median NOₓ was 21.9 μg/m³. Many smoking-related IRRs shrank after confounder control, and lung cancer was excluded because it was published separately.
  4. PROTECT followed 1,092 pregnancies with live singleton births in 21 Puerto Rican municipalities (2011–2018). About 9.1% of births were preterm; mean pregnancy PM₂.₅ was 6.8 μg/m³. An IQR increase raised preterm-birth risk only modestly (RR 1.014 individual-adjusted; RR 1.012 also municipal-adjusted). Phthalate metabolites did not modify the association. Monitor-based, municipality-at-birth assignment likely biases toward the null.
  5. A school cohort's multilevel BMI growth models (mean age 6.6 years; BMI rose ~2.6 units over 5 years) found non-freeway NOₓ still positively associated with BMI level and slope after SES, smoking, greenness, fast food and street-connectivity adjustment, while freeway NOₓ was not. Traffic density within 150 m was confounded, especially on the Spanish questionnaire.

Largest unresolved question

Papers sharing the cohort label are not one design. Veneto is an ecological SMR for municipalities; CCHS and PROTECT assign person- or pregnancy-level exposures and model individual outcomes; MIREC maps residues without a disease endpoint; the GraMo phthalate–adipose analysis is a cross-sectional surgery sample that cannot establish temporality (WQS β = −30.089 for GSH). 'Cohort evidence that pollution kills' collapses those differences.

Procedure

How it works

The main stages of the method. Specific protocols and analysis choices vary between studies.

  1. Define the population and the start of follow-up

    A group is enrolled or reconstructed from registries — residents of municipalities, survey respondents linked to death records, pregnancies, schoolchildren. Who is in the risk set, and when the clock starts, bound every later rate.

  2. Assign an exposure without randomisation

    Exposure is taken from residence, a monitor, a satellite or land-use surface, or a biospecimen. People are not randomised to polluted water or clean air. An ecological area label is not an individual dose; a municipality-at-birth assignment is not a personal monitor.

  3. Count later outcomes

    Deaths, cancers, preterm birth, growth, or a biomarker are recorded after the exposure window. Some papers stop at concentrations and never record a clinical endpoint.

  4. Adjust for measured confounders

    Cox, growth, or standardised-mortality models hold measured covariates fixed. Residual confounding, exposure error, and reverse causation remain; a single serum measurement cannot establish that the chemical came first. Adjustment is not randomisation.

  5. Do not read the follow-up as a trial of cleaner air

    A cohort answers whether people who lived here, or who carried this measured burden, had higher rates later. An SMR for a contaminated area or an HR per 10 μg/m³ is not evidence that cleaning the air would have prevented those events.

Common misconceptions

  • A pollution cohort is basically an RCT of living in dirty air.

    No one was randomised. Veneto compares municipal death rates; CCHS and PROTECT adjust for measured covariates and still leave residual confounding, mobility and indoor sources on the table. An HR or SMR is not an assigned treatment effect.

  • Median serum PFOA of 14 ng/mL in the Red area means each extra death is tied to that person's PFAS dose.

    The mortality analysis is ecological. Private wells misclassify some Red area B residents, food export may expose people outside the zone, and the SMR does not use individual PFAS measurements as the exposure.

  • If a pregnancy cohort measures chemicals in blood, it has shown those chemicals caused disease.

    MIREC reports residue levels and predictors (parity, fish, foreign-born, sampling year), not clinical outcomes. GraMo's phthalate–redox associations are same-time surgery measurements; short-lived phthalates make one serum sample a noisy exposure metric.

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