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Whitehall Study

Whitehall Study is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Whitehall Study rather than just read about it. In short: The Whitehall Studies investigated social determinants of health, specifically the cardiovascular disease prevalence and mortality rates among British civil servants. The initial prospective cohort study, the Whitehall I Study, examined over 17,500 male civil servants between the ages of 20 and 64, and was conducted over a period of ten years, beginning in 1967.

Key takeaways

  • Whitehall Study belongs to biology; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Whitehall Study to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Whitehall Study from memory before moving on to harder problems.

Reference excerpt

The Whitehall Studies investigated social determinants of health, specifically the cardiovascular disease prevalence and mortality rates among British civil servants. The initial prospective cohort study, the Whitehall I Study, examined over 17,500 male civil servants between the ages of 20 and 64, and was conducted over a period of ten years, beginning in 1967. A second cohort study, the Whitehall II Study, was conducted from 1985 to 1988 and examined the health of 10,308 civil servants aged 35 to 55, of whom two thirds were men and one third women. A long-term follow-up of study subjects from the first two phases is ongoing. The studies, named after the Whitehall area of London and originally led by Michael Marmot, found a strong association between grade levels of civil servant employment and mortality rates from a range of causes: the lower the grade, the higher the mortality rate. Men in the lowest grade (messengers, doorkeepers, etc.) had a mortality rate three times higher than that of men in the highest grade (administrators). This effect has since been observed in other studies and named the "status syndrome".

Whitehall I The first Whitehall Study compared mortality of people in the highly stratified environment of the British Civil Service. It showed that among British civil servants, mortality was higher among those in the lower grade when compared to the higher grade. The more senior one was in the employment hierarchy, the longer one might expect to live compared to people in lower employment grades. The first of the Whitehall studies, or Whitehall I, found higher mortality rates due to all causes for men of lower employment grade. The study also revealed a higher mortality rate specifically due to coronary heart disease for men in the lower employment grade when compared to men in higher grades. The initial Whitehall study found lower grades, and thus status, were clearly associated with higher prevalence of significant risk factors. These risk factors include obesity, smoking, reduced leisure time, lower levels of physical activity, higher prevalence of underlying illness, higher blood pressure, and shorter height. Controlling for these risk factors accounted for no more than forty percent of differences between civil service grades in cardiovascular disease mortality. After controlling for these risk factors, the lowest grade still had a relative risk of 2.1 for cardiovascular disease mortality compared to the highest grade. Whitehall I was carried out by the Department of Medical Statistics & Epidemiology at the London School of Hygiene & Tropical Medicine and published in 1987. The Whitehall Study papers are available to view at the School's archives.

Whitehall II Twenty years later, the Whitehall II study documented a similar gradient in morbidity in women as well as men. The name Whitehall II was derived from the previous Whitehall study. The Whitehall Studies revealed this social gradient for a range of different diseases: heart disease, some cancers, chronic lung disease, gastrointestinal disease, depression, suicide, sickness absence, back pain and general feelings of ill-health. A major challenge, and a reason for the importance of these studies, was to understand the causes of this social distribution of so many disorders. Whitehall II is a longitudinal, prospective cohort study of 10,308 women and men, all of whom were employed in the London offices of the British Civil Service at the time they were recruited to the study in 1985. The Study is led by Professor Mika Kivimaki at University College London. The initial data collection included a clinical examination and self-report questionnaire. Since then, thirteen waves of data collection have been completed: phase 1 (1984-1985; age 35 to 55), phase 2 (1989-1990), phase 3 (1991-1993), phase 4 (1995-1996), phase 5 (1997-1999), phase 6 (2001), phase 7 (2002-2004), phase 8 (2006), phase 9 (2007-2009), phase 10 (2011), phase 11 (2012-2013), phase 12 (2015-2016), phase 13 (2019-2022). The thirteenth wave began in February 2019 and finished in January 2023. It took longer as usual due to the Covid-19 pandemic.

More information about this table at the Data Collection (external link) page of the project. Research continues to explore the pathways and mechanisms through which social position influences health. The research group aims to build a causal model leading from social position through psychosocial and behavioural pathways to pathophysiological changes, sub-clinical markers of disease, functional change, and clinical disease. The Whitehall II study began as a study of working age people and investigated the relationships between work, stress, and health. Whitehall II found that the way work is organised, the work climate, social influences outside work, influences from early life, and health behaviours all contribute to the social gradient in health. As participants in this study continue through adult life, the research focuses on inequalities in health and functioning in an aging population. With an increasingly large population of older citizens in the UK, there is an urgent need to identify the causes of social inequalities and to study the long-term effects of previous circumstances on people's ability to function and stay healthy during retirement. Researchers in the Whitehall II team are also considering the role of social inequalities in relation to dementia risk.

Data sharing The Whitehall II team have a data sharing policy, allowing researchers from other institutions to use data from the Whitehall II cohort. There is a slightly different data sharing policy for projects that involve genetic information. This policy suggests that the team are engaging with the open access movement, a social movement which is gaining momentum in academia.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Whitehall Study

Start with the simplest possible case. Write down what Whitehall Study claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Whitehall Study before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Whitehall Study ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Whitehall Study

In research
Whitehall Study appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Whitehall Study in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Whitehall Study is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1967 establishments in the United Kingdom, 1967 in science, British medical research, so understanding it makes those chapters shorter.
In everyday life
Look for Whitehall Study outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Whitehall Study in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Whitehall Study means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Whitehall Study out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Whitehall Study in simple terms?

The Whitehall Studies investigated social determinants of health, specifically the cardiovascular disease prevalence and mortality rates among British civil servants. The initial prospective cohort study, the Whitehall I Study, examined over 17,500 male civil servants between the ages of 20 and 64…

Why does Whitehall Study matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Whitehall Study?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Whitehall Study.

Tags

  • 1967 establishments in the United Kingdom
  • 1967 in science
  • British medical research
  • Civil Service (United Kingdom)
  • Cohort studies
  • Epidemiological study projects
  • Longitudinal studies
  • Population genetics in the United Kingdom

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