Does Global Warming Help Us Live Longer, Fitter Lives?

This article first appeared on the Cato Institute site.

The impact of global warming on temperature-induced human mortality has long been a concern, where it has been hypothesized that rising temperatures will lead to an increase in the number of deaths due to an increase in the frequency and intensity of heat waves.

Others claim that rising temperatures will also reduce the number of deaths at the cold end of the temperature spectrum (fewer and less severe cold spells), resulting in possibly no net change or even fewer total temperature-related deaths in the future.

The largest study —by far—on temperature-related mortality was published by Gasparrini et al. in the journal Lancet in 2015. They examined over 74 million (!) deaths worldwide from 1985 to 2012 and found that the ratio of cold-related to heat-related deaths was a whopping 17 to 1.

GettyImages-800082650 A child plays in a fountain to cool off as a heatwave strikes Bulgaria's capital Sofia on June 23, 2017. NIKOLAY DOYCHINOV/AFP/Getty

Moreover, the temperature percentile for minimum mortality was around the 60th in the tropics and “80–90th” in the temperate zones. Based upon real-world data, it is obvious that global warming is going to directly prevent a large number of deaths.

One of us (Michaels) co-authored a peer-reviewed literature article showing that as heat waves become more frequent, heat-related deaths decrease because of adaptation. Given that our cities are heating up on their own—without needing a push from greenhouse gases—under our hypothesis, heat-related mortality should be dropping, which it is.

But what about morbidity (sickness), as opposed to mortality? For that, we should be looking at emergency room visits, where people go because they are really feeling crummy or have a physical injury. Turns out everyone has been looking at death, but few at debilitation.

Now comes a new paper from Zhao et al . (2017). They examined the association between daily mean ambient temperature and emergency department visits in twelve Chinese cities over the period 2011–2014. Two were in the cool north, six from the central region and four in the hot and humid south.

As represented by the pooled national data as shown in the figure below, the relative risk of emergency department visits increases as temperatures become both warm and cold.

However, the risk is far greater for cold temperatures, where the cumulative relative risk is 1.80 (nearly twice as likely compared to average temperatures) versus a much smaller 1.15 (a 15 percent increase in prevalence) that was associated with hot temperatures.

Additionally, Zhao et al . determined that the effects of cold spells on emergency department visits were much more persistent, lasting a full 30 days compared to the more acute, but short lived, effects of warm spells that lasted a mere three days, or one-tenth of the time.

poolednationallevel Adapted from Zhao et al (2017).

Pooled national level cumulative association between temperature and emergency department visits over a lag of 0-32 days during 2011-2014. Adapted from Zhao et al. (2017).

Other important findings included the observation that the temperature percentile associated with the least amount of emergency department visits was 64. Given that the average climate in China varies from tropical to pretty darned cold, it’s probably somewhat more tropical than temperate. Their optimum temperature is very consistent with what was found in the Gasparrini et al. study.

At 14 percentage points higher than 50, this fact (along with Gasparrini et al. ) suggests that humans are much better adapted to warmer temperatures than cold. Zhao et al . also found that the temperature effect on emergency department visits varied by latitude; the effect of extreme cold was higher in the southern cities and declined northward, whereas the effect of extreme heat was higher in the northern cities and declined southward, which suggests a form of regional adaptation to temperature, similar to what we (Michaels) found for U.S. cities in our work on urban heat-related mortality.

In stratifying their analysis by gender and age, the thirteen researchers report that the temperature/emergency department visit relationship was unaffected by gender but was attenuated with increasing age, which contradicts other, more speculative work on Chinese urban heat-related mortality.

At the national level, the relative risk of emergency department visits due to cold declined from 2.27 for the youngest age group (0–14 years) to 2.17 for ages 15–34, 1.60 for ages 35–64 and 1.41 for the elderly aged 65 and older.

Similarly, the risk of emergency department visits due to hot temperatures also declined from 1.51 for 0–14 years to 1.19 from ages 15–34, 1.14 for ages 35–64 and 1.08 for those over age 65. Children of ages 0–14 were the most vulnerable to cold spells and heat waves over the period of study.

In considering all of the above findings, plus those reported in numerous other studies of the subject, it is clear that the impact of cold weather on human health is much more severe and longer lasting than that caused by heat waves.

The truth be told, as shown by real-world numbers, humanity has much more to gain in terms of physical health from rising, as opposed to falling, temperatures.

Craig D. Idso is the founder and former President of the Center for the Study of Carbon Dioxide and Global Change and Chairman of the Center’s board of directors.

Patrick J. Michaels is the director of the Center for the Study of Science at the Cato Institute.

References

Gasparrini, A., et al. (2015) “Mortality risk attributable to high and low ambient temperature: a multicountry observational study.” The Lancet 386 (9991): 369–375.

Davis, R.E., Knappenberger, P.C., Michaels, P.J. and W. Novicoff (2003) “Changing heat-related mortality in the United States.” Environmental Health Perspectives 111 (14): 1712–1718.

Zhao, Q., Zhang, Y., Zhang, W., Li, S., Chen, G., Wu, Y., Qui, C., Ying, K., Tang, H., Huang, J., Williams, G., Huxley, R. and Guo, Y. (2017) “Ambient temperature and emergency department visits: Time-series analysis in 12 Chinese cities.” Environmental Pollution 224: 310–316.

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