Whitehall Civil Servants: Low Job Control and Heart Disease, 1978-2012

Whitehall civil servants in the lowest employment grade died at about three times the rate of the administrators at the top, and the best-known explanation that came out of the follow-up work was control: how much say people had over their own work. Marmot and colleagues reported the three-fold gap in The Lancet in 1984 after ten years of mortality follow-up. A 1997 Whitehall II paper found that low job control did more to explain the gradient in new heart disease than any other factor it measured. Later pooled analyses found the link is real but much smaller than the headline suggests.

That is the story people retell when they say a sense of control keeps you healthy. This post goes through what each study measured, what it found, and how far the numbers stretch.

What did the first Whitehall study find?

In the first Whitehall study, 17,530 male civil servants working in London were sorted by employment grade and followed for deaths. The abstract of the 1984 paper by Marmot, Shipley and Rose says men in the lowest grade had three times the mortality of the highest grade (administrators) from coronary heart disease, from a range of other causes, and from all causes combined. The authors noted this was larger than the national gap between social classes I and V.

An earlier paper from the same cohort (Marmot, Rose, Shipley and Hamilton, 1978, 7.5 years of follow-up) had put the coronary figure at 3.6 times for messengers compared with administrators. Everyone in the cohort worked for the same employer, so the gradient ran inside one workplace.

Smoking and blood pressure were part of it. They were not enough.

What did Whitehall II add about job control?

Whitehall II started in 1985 with a new cohort: 10,314 civil servants (6,900 men and 3,414 women) aged 35 to 55, studied from 1985 to 1988. The 1991 Lancet paper by Marmot and eight co-authors found that twenty years had not shrunk the gap in illness. Lower grades had more angina, more ECG signs of ischaemia and more bronchitis symptoms, and they worked more often in “monotonous work characterised by low control and low satisfaction.”

Then came the follow-up. Marmot, Bosma, Hemingway, Brunner and Stansfeld (The Lancet, 1997) tracked new coronary disease for a mean of 5.3 years in 7,372 people. Men in the lowest grade (clerical and office support) had an age-adjusted odds ratio of 1.50 for any new coronary event compared with administrators, and 2.27 for doctor-diagnosed ischaemia. Of the factors examined, low control at work made the largest contribution to that gradient. Adjusting for everything together, including height and standard risk factors, took the lowest-grade odds ratio from 1.5 to 0.95 in men.

The companion paper by Bosma and colleagues (BMJ, 1997) looked at control directly in 10,308 civil servants. People with low control on two assessments three years apart had an odds ratio of 1.93 (95% CI 1.34 to 2.77) for a subsequent coronary event, relative to people with high control both times. Job demands and social support at work were not related to heart disease.

Study	Who	Key number
Marmot et al., 1984	17,530 men, Whitehall I	Lowest grade about 3x top-grade mortality
Marmot et al., 1997	7,372 people, Whitehall II	Lowest-grade OR 1.50 for new CHD, 0.95 after adjustment
Bosma et al., 1997	10,308 people, Whitehall II	Low control twice: OR 1.93
Kivimäki et al., 2012	197,473 people, 13 cohorts	Job strain HR 1.23

I read the abstracts of all of these through Europe PMC. I did not read the full papers, so tables and methods sections are outside what this post can vouch for.

Why was low control, and not a heavy workload, the thing that mattered?

In Bosma’s data, job demands were not related to heart disease at all, while low control was. The paper’s conclusion was practical: more variety in tasks and a stronger say in decisions “may decrease the risk.” That reading is a hypothesis from an observational cohort, since nobody in Whitehall II was randomly given more control.

Kivimäki’s later pooled analysis used the combination, job strain, defined from demand-control questionnaires as high demands together with low control, so it tests a slightly different exposure than Bosma’s control-only measure.

Did the later pooled studies confirm it?

Kivimäki and colleagues pooled individual records from 13 European cohorts (1985 to 2006) in The Lancet in 2012. Of 197,473 participants without heart disease at baseline, 30,214 (15%) reported job strain, meaning high demands combined with low control. Over 1.49 million person-years there were 2,358 incident cases of coronary heart disease. After adjusting for age and sex the hazard ratio for job strain was 1.23 (95% CI 1.10 to 1.37).

Two features of that paper answer the usual objections. The authors dropped events in the first 3 years and then the first 5 years of follow-up, to check whether early illness was driving job strain reports rather than the reverse, and the hazard ratios stayed raised at 1.31 and 1.30. The association also held after adjusting for socioeconomic status and for lifestyle and conventional risk factors.

Then the humbling number. The population attributable risk for job strain was 3.4%, and the authors wrote that preventing workplace stress would have a much smaller effect than tackling standard risk factors such as smoking.

As a quick check of the author’s own arithmetic: with 15.3% of people exposed (30,214 divided by 197,473) and a hazard ratio of 1.23, the standard attributable-fraction formula gives 0.153 x 0.23 / (1 + 0.153 x 0.23), about 3.4%. That matches the paper. The same pooled data gave roughly 158 coronary events per 100,000 person-years (2,358 divided by 1.49 million, my own calculation, not a figure the paper reports as such).

A hazard ratio of 1.23 is a 23% relative increase. It is a long way from a threefold gap.

What does this evidence not establish?

Quite a lot, and the studies’ own authors say some of it.

• Cause. Whitehall II is an observational cohort. Bosma found the control effect was not explained by employment grade, negative affectivity or classic risk factors, and personnel managers’ independent ratings pointed the same way as self-reports. Even so, unmeasured differences between people who end up in controlling or uncontrolling jobs can’t be ruled out by adjustment.
• Self-report. Several Whitehall outcomes were new angina, chest pain and doctor-diagnosed ischaemia reported on questionnaires, not hard events. Kivimäki’s pooled outcome was the first non-fatal heart attack or coronary death, which is harder to argue with and also produced the smaller effect.
• Publication bias. The 2012 estimate was 1.43 in published studies and 1.16 in unpublished ones, so the literature’s typical effect overstates the truth. Nudge research shows the same pattern, as one reanalysis of the behavioral-science literature found.
• Generalisation. These were office workers, mostly in 1985 London, and the 1997 analysis covered about five years of follow-up. Nothing in them says what happens if a person gains control over their evenings, finances or mornings.
• Scope of the gradient. Even in the best case, control explains part of the grade gap. The 1978 and 2000 Whitehall I papers both found that standard risk factors explained only a portion, and control was one candidate for the rest.

What can a reader reasonably take from it?

The defensible reading is narrow. In people with jobs, having little say over how the work is done has repeatedly gone along with more heart disease, by a modest margin at population level and a larger one in the Whitehall grade comparison. That is a reason for employers to look at job design, and Marmot’s 1991 recommendation said as much.

For an individual trying to pull a stalled life back together, the study offers a direction more than a method. Control over a job is often not yours to take, but control over timing is closer to home, and a map of how much of your morning you actually control shows how uneven that can be between a freelancer and a parent of a newborn. Pointing at the one slot you do own, and noticing whether you are using it, is an inference from the Whitehall findings rather than something they tested.

People on night rotations face a harder version of this, where shift schedules decide the hour and the worker mostly does not. There is also a trade the Whitehall data do not describe: giving up a little discretion on purpose so that someone else can see whether you did what you said. How DontSnooze works is one example of handing a morning decision to a witness, and the evidence above neither supports nor tests it.

A smaller, physical version of the same question about surroundings is Ulrich’s window-view study.

Sources

Abstracts read through Europe PMC: Marmot, Rose, Shipley and Hamilton, J Epidemiol Community Health 1978 (PMID 744814); Marmot, Shipley and Rose, Lancet 1984 (PMID 6143919); Marmot, Davey Smith, Stansfeld and colleagues, Lancet 1991 (PMID 1674771); Marmot, Bosma, Hemingway, Brunner and Stansfeld, Lancet 1997 (PMID 9242799); Bosma and colleagues, BMJ 1997 (PMID 9055714); van Rossum and colleagues, J Epidemiol Community Health 2000 (PMID 10746111); Kivimäki and colleagues, Lancet 2012 (PMID 22981903). The full texts were not available to me.