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Research method

Cohort Study

A cohort study follows people over time from an exposure or a disease-free baseline to later events — multimorbidity, incident depression, a cardiovascular subtype, cancer death. Investigators count person-time, estimate rates or hazard ratios, and adjust for measured confounders. Unlike a randomised intention-to-treat analysis, assignment to 'exposed' is not under the investigator's control, so residual confounding remains on the table even after a well-fitted Cox model.

Researchers reach for cohorts when the question is whether an exposure tracks later disease in people who were event-free at the start. It answers 'who got what, and how fast, over follow-up?' Its main limitation is causal: a healthy-lifestyle HR below 1 is not a trial of a lifestyle programme, a population attributable fraction is not a tested prevention package, and a drug–adverse-event signal can still be confounding by indication.

Studies

10

Findings

6

6 supporting · 0 challenging · 0 qualifying citations

Open tensions

2

Currently

What we know

  1. A multinational prospective cohort linked a healthy lifestyle index to later disease over a median 11.0 years, during which 3,244 people developed multimorbidity. Higher HLI was inversely associated with CVD (HR 0.77 per 3 units) and type 2 diabetes (HR 0.67), and more weakly with cancer (HR 0.89). Observational lifestyle scores remain open to residual confounding.
  2. Diet-quality scores in 15,093 Spanish adults free of depression at baseline showed a threshold-like rather than strictly linear association with new physician-diagnosed depression. For the PDP score, highest versus lowest quintile HRs were about 0.78 using baseline diet and 0.74 using updated diet. That is still an observational association, not a feeding trial.
  3. The 45 and Up Study accumulated 1.35 million person-years and 27,511 major CVD events. Current smoking raised risks across IHD/AMI, stroke and heart failure, and especially PAD (RR about 5); former smokers sat in between. Subtype risks are not identical, and residual confounding is still possible despite adjustment.
  4. Rotterdam Study analyses estimated that modifiable cardiovascular risks, related diseases and education could still account for roughly one quarter to one third of dementia cases, a potential-prevention fraction that had not declined between cohorts spanning about two decades. Those PAR estimates assume risk-factor causality and eliminability; they are not a trial of a named prevention package.
  5. A UK primary-care cohort of newly diagnosed depression found 87.7% received antidepressants (citalopram, fluoxetine and amitriptyline most often), and 8 of 11 common drugs were linked to significantly higher falls versus non-use over 5 years. Observational signals can reflect confounding by indication; absolute risks still need to be weighed against benefit.

Largest unresolved question

Follow-up of thousands of event-free adults is a different design from a 74-person telemedicine case series, even if both get filed as cohorts. The HLI, diet-depression, smoking-CVD and Rotterdam papers estimate rates or attributable fractions over years. The WeChat paper describes outcomes after care already delivered, with no control group, so it cannot show that monitoring caused recovery.

Procedure

How it works

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

  1. Start from an event-free baseline

    People enter while free of the later outcome — no multimorbidity yet, no incident depression, no cardiovascular event. The clock starts at that baseline, not at diagnosis of the exposure itself.

  2. Record an exposure the investigator does not assign

    Lifestyle index, diet-quality score, smoking, antidepressant use, or another exposure is observed. Unlike a randomised trial, who is 'exposed' is not under the investigator's control.

  3. Follow person-time to later events

    Deaths, incident disease, or a subtype are counted over years of follow-up. A 74-person case series filed as a cohort is not the same design as thousands of event-free adults.

  4. Estimate rates or hazard ratios

    Cox or similar models adjust for measured confounders. Residual confounding, confounding by indication, and a population attributable fraction that assumes risks could be eliminated all remain on the table.

  5. Do not read the HR as a trial of a programme

    A cohort answers who got what, and how fast, over follow-up. A healthy-lifestyle HR below 1 is not a trial of a lifestyle programme, and a drug–adverse-event signal can still be confounding by indication.

Common misconceptions

  • An HR of 0.67 for type 2 diabetes means a healthy-lifestyle programme was shown to prevent diabetes.

    That figure is an observational contrast per 3 units of a lifestyle index over a median 11.0 years, with 3,244 multimorbidity events in the same cohort. It is not a randomised lifestyle trial.

  • If about a quarter to a third of dementia is 'preventable,' a public-health package has already been proven.

    Rotterdam PAR estimates assume the risks are causal and could be eliminated. They motivate action; they do not demonstrate that any specific prevention programme would avert that fraction.

  • If 8 of 11 common antidepressants are linked to more falls, those drugs should be treated as the established cause.

    The UK cohort compared users with non-use among people with newly diagnosed depression. Confounding by indication is built into that contrast: people at higher fall risk may be more likely to receive certain drugs.

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