Skip to main content

Cost of living crisis: the health risks of not turning the heating on in winter

People in the UK might be tempted to keep their heating turned off to offset the large increases in energy bills this winter. A recent YouGov poll, revealed that 21% of respondents would not turn their heating on until at least November. Could the health of these people be endangered?

Before COVID, an average of 25,000 extra deaths occurred between December and March compared with any other four-month period of the year. Even if COVID did not exist, the cost of living crisis could result in the toll from the coming winter being worse than usual.

The Marmot review (a report investigating the effects of cold homes and fuel poverty) estimated that 21.5% of all excess winter deaths could be attributed to the coldest 25% of homes in the UK population.

This would suggest that 5,000 extra deaths occur in winter because people live in cold homes. But this does not mean the cold homes cause the deaths. People who live in cold homes may have other disadvantages, making them less able to survive winter.

Would it make any difference whether they leave their heating on or off? Studies suggest temperatures should be kept to at least 18℃ to minimise the risk to health, but how easy is it to maintain this if homes are poorly insulated?

Research into what is best for people’s health ideally relies on randomised controlled trials to tell us about cause and effect. But it would be unethical to conduct a trial where some people were told to leave their heating off and others were told to keep it on to see if it had any effect on mortality. Instead, we have to rely on what are known as “longitudinal studies” where people are followed over many years and respond regularly to questionnaires.

In one such study in the 1970s, the British Regional Heart Study recruited thousands of men, then in middle age, from across Great Britain. In 2014, around 1,400 of these men, then aged 74-96 years, answered a questionnaire that included questions on home heating.

One question asked whether, during the previous winter, the respondent had: “Turned off the heating, even when you were cold because you were worried about the cost?” One hundred and thirty men (9.4%) said yes. These men seemed no more likely to die in the following two years than men who had replied no.

A larger study would have given a more robust answer. And in the absence of other direct evidence, we have to draw conclusions from indirect evidence, such as this.

The most vulnerable

Recently, researchers in Sweden tried to assess a range of questions about the effects of energy use, fuel poverty and energy efficiency improvements on people’s health. They systematically reviewed all the relevant studies on the topic. One of their findings showed consistently across four studies the link between fuel poverty and premature death.

The British Regional Heart Study showed that fuel poverty was more likely to be found among people who were single, poor and working class. This suggests that people who are the most financially vulnerable will be those most likely to leave the heating off. As with climate change, the poorest are hit hardest.

So far I have only discussed effects on health in terms of death, which in the UK concerns mainly older people. The winter deaths that occur are usually the result of heart disease, stroke and respiratory disease. Yet increasing attention has also been paid to the strong effects of the cold on mental health.

The Marmot review quoted studies that drew attention to the depressive effect of living in a cold home. Children in adolescent years may seek respite and privacy away from home, with consequent exposure to mental health risks. The misery caused by financial pressures only add to this burden.

Because the most financially vulnerable people are also the most vulnerable in their health, it should follow that interventions at government level are urgently needed to offset the likely health crisis looming from increased energy costs.

The most vulnerable will need the most help. Yet a common paradox seen in public health is that interventions applying to the whole population will lead to more lives saved than those targeted only to those at greatest risk.

This is because there are far more people in the population at moderate risk than at high risk. Only a modest proportion of people at moderate risk will benefit. Yet because this group is so much larger than the high-risk group, more lives may be saved among those at moderate risk.

Buildings in the UK clearly need to be better insulated, but these sorts of interventions will come too late for this winter. Mitigating the rising costs of energy must be the only way forward to allow homes to be heated to a comfortable level and prevent a tidal wave of excess winter deaths.The Conversation

----------------------------

This blog is written by Cabot Institute for the Environment member Richard Morris, Honorary Professor in Medical Statistics, University of Bristol

This article is republished from The Conversation under a Creative Commons license. Read the original article.

Richard Morris
Watch Richard speak more about this issue in our Cabot Conversations video on Heatwaves and Health






Popular posts from this blog

Converting probabilities between time-intervals

This is the first in an irregular sequence of snippets about some of the slightly more technical aspects of uncertainty and risk assessment.  If you have a slightly more technical question, then please email me and I will try to answer it with a snippet. Suppose that an event has a probability of 0.015 (or 1.5%) of happening at least once in the next five years. Then the probability of the event happening at least once in the next year is 0.015 / 5 = 0.003 (or 0.3%), and the probability of it happening at least once in the next 20 years is 0.015 * 4 = 0.06 (or 6%). Here is the rule for scaling probabilities to different time intervals: if both probabilities (the original one and the new one) are no larger than 0.1 (or 10%), then simply multiply the original probability by the ratio of the new time-interval to the original time-interval, to find the new probability. This rule is an approximation which breaks down if either of the probabilities is greater than 0.1. For example

1-in-200 year events

You often read or hear references to the ‘1-in-200 year event’, or ‘200-year event’, or ‘event with a return period of 200 years’. Other popular horizons are 1-in-30 years and 1-in-10,000 years. This term applies to hazards which can occur over a range of magnitudes, like volcanic eruptions, earthquakes, tsunamis, space weather, and various hydro-meteorological hazards like floods, storms, hot or cold spells, and droughts. ‘1-in-200 years’ refers to a particular magnitude. In floods this might be represented as a contour on a map, showing an area that is inundated. If this contour is labelled as ‘1-in-200 years’ this means that the current rate of floods at least as large as this is 1/200 /yr, or 0.005 /yr. So if your house is inside the contour, there is currently a 0.005 (0.5%) chance of being flooded in the next year, and a 0.025 (2.5%) chance of being flooded in the next five years. The general definition is this: ‘1-in-200 year magnitude is x’ = ‘the current rate for eve

Coconuts and climate change

Before pursuing an MSc in Climate Change Science and Policy at the University of Bristol, I completed my undergraduate studies in Environmental Science at the University of Colombo, Sri Lanka. During my final year I carried out a research project that explored the impact of extreme weather events on coconut productivity across the three climatic zones of Sri Lanka. A few months ago, I managed to get a paper published and I thought it would be a good idea to share my findings on this platform. Climate change and crop productivity  There has been a growing concern about the impact of extreme weather events on crop production across the globe, Sri Lanka being no exception. Coconut is becoming a rare commodity in the country, due to several reasons including the changing climate. The price hike in coconuts over the last few years is a good indication of how climate change is affecting coconut productivity across the country. Most coconut trees are no longer bearing fruits and thos