Very happy to distribute here the latest paper from the @IAEANA DLW database published in @NatMetabolism which concerns the decline in energy expenditure over the last 3-4 decades in the USA and Europe. 1/ nature.com/articles/s4225…
Obesity is caused by an imbalance of expenditure and intake. There has been previous debate about the relative contributions falling expenditure due to declining physical activity, and increased food intake have made to the epidemic. 2/
A study of direct measures of TEE using doubly-labelled water (DLW) measurements over time in the Netherlands suggested energy expenditure had not fallen between 1988 and 2006. 4/ pubmed.ncbi.nlm.nih.gov/18504442/
However, that study was based on a relatively small sample (<300) in a single Dutch city where obesity rates were relatively low. Moreover, direct measures of physical activity during work time do suggest a progressive decrease over time in the USA. 5/ pubmed.ncbi.nlm.nih.gov/21647427/
We now studied the Total energy expenditure (TEE) of 4799 individuals in Europe and the USA between the late 1980s and 2018 using the IAEA DLW database. We show there has been a significant decline in adjusted TEE over this interval of about 7.7% in males and 5.6% in females. 6/
We are currently expending about 220 kcal/d less for males and 122 kcal/d less for females than people of our age and body composition were in the late 1980s. These changes are sufficient to explain the obesity epidemic in the USA. @KevinH_PhD 7/ pubmed.ncbi.nlm.nih.gov/21872751/
For 1472 individuals we also had measures of basal energy expenditure (BEE) and could therefore calculate the activity expenditure (AEE) both adjusted for body composition. To our surprise adjusted Activity Energy expenditure has actually INCREASED over time. 8/
This means the decline in TEE is driven by a decline in BEE. This was confirmed directly in the data for males, but in females marginally failed to reach significance (p = 0.07). This lack of significance was completely due to inclusion of data from a single anomalous study. 9/
If data for that single study was removed the trend was also highly significant in females. The surprising conclusion is we spend less energy when resting now than individuals did 30-40 years ago! The magnitude of the effect is sufficient to explain the obesity epidemic. 10/
To validate this result we performed a meta analysis of data on BMR from the literature also in Europe and the USA (n = 9912 individuals in 163 studies) and showed that this trend of falling BMR is replicated (with a shallower gradient) back to the early 1900s. 11/
Interestingly this parallels the previously reported decline in body temperature over the same interval. 12/ pubmed.ncbi.nlm.nih.gov/31908267/
What caused the decline in the BEE? One possibility is a reduction in infectious diseases reducing the cost of the immune system. Amazonian subsistence agriculturalists have higher BEE than predicted linked to a high pathogen burden. @HermanPontzer 14/ pubmed.ncbi.nlm.nih.gov/27375044/
But if its important in the US/Europe over recent times is unclear. Note all the data included in the analysis were pre-covid 15/
Another potentially important factor is diet. Diets have changed enormously over the past 100 years. Notably there has been a large reduction in consumption of saturated fats and changes in the balance of n-3 and n-6 fatty acids.. 16/ pubmed.ncbi.nlm.nih.gov/21367944/
We varied the fatty acid composition of mouse diets and showed that their energy expenditure (adjusted for body composition) increased as their consumption of saturated fat increased. (@YaleCMed) 17/
This raises the interesting possibility that reducing saturated fat consumption may have driven reductions in BEE. RCT studies in humans however are required before that conclusion could be drawn. 18/
There are many other dietary factors that could be important drivers of BEE. For example the carbohydrate-insulin model postulates that increased intake of high glycaemic load diets should drive a reduction in energy expenditure. 20/
The change in BEE observed here might then be consistent with the CIM if consumption of high GL diets has increased in the same interval. 21/ @davidludwigmd@garytaubes
Even if the CIM doesn’t explain all of the effect on TEE it may still have contributed something to the overall secular trends in obesity prevalence at some points during the epidemic. 22/
If declining BEE has a simple dietary basis then reversing it should be possible by dietary change. Impacts of diets on BEE have been studied, but it isn’t yet clear how long exposure to a diet would be necessary to generate a significant effect. 23/
Today is thanksgiving – and not coming from the US I am mostly giving thanks for our paper in Science published today on human water turnover. 1/
Variation in human water turnover associated with environmental and lifestyle factors | Science
10.1126/science.abm8668.
The paper was led by Yosuke Yamada from Tokyo and used the IAEA DLW database to reconstruct the water turnover of over 5600 individuals. We found the main factors influencing WT are energy expenditure, body weight, physical activity, temperature, humidity, altitude and age. 2/
WT of men was higher than women. The peak was around age 20-30 when it averaged 4.2 L/d. at the same age females turnover about 3.3 L/d. by age 90 this has declined to about 2.5 l/d in both sexes. 3/
Our paper from the IAEA DLW database on effects of ambient temperature changes on human energy expenditure is now online at @iscience. Here is some background on the study, what we found and its implications. 1/16 sciencedirect.com/science/articl…
Many scientists are looking at ways to switch on brown adipose tissue (BAT) to elevate energy expenditure and reduce obesity. But several studies showed BAT is activated in the cold. If switching on BAT combats obesity, the obesity prevalence should be less in colder areas. 2/16
In 2016 however we showed that in the USA this isn’t the case. There is no relation of obesity prevalence to ambient temperature. Although interestingly there was a link to prevalence of type 2 diabetes. nature.com/articles/srep3…
3/16
Everyone has heard of people who are extremely lean and seem able to eat what they want because they burn it all off. We have now characterized the lifestyles and metabolism of underweight people @Cell_Metabolism
The results are unexpected authors.elsevier.com/a/1fPf35WXUlP5…
1/n
We recruited 150 people with BMI <18.5 living in Beijing, and compared them to 173 normal weight individuals (BMI 21.5 to 25). We screened out people with eating disorders, those living with HIV and individuals who had lost weight due to prior disease. 2/n
First surprise was they were not highly active. In fact their activity measured by accelerometry was about 23% less than people with normal BMI. This was true in both males and females. Their activity was lower throughout the whole day. 3/n
Live cold, die old? Our paper on the impacts of body temperature on lifespan is out today in nature metabolism. 1/n nature.com/articles/s4225…
An explainer of the main points. Live fast, die young, in biology refers to the observation that animals with high metabolic rates (living fast) tend to die sooner. the metabolic rate of a mouse is 30x faster than an elephant. It lives about 3 years and the elephant about 70. 2/n
There are of course lots of other differences between mice and elephants that may affect how long they live, in particular their body size – so comparisons across species are difficult to interpret. Within a particular species the link of metabolism to lifespan is less clear.3/n
Very happy to be part of another great paper using the IAEA DLW database (dlwdatabase.org). This time a forensic analysis of links between fat-free mass and physical activity led by Klaas Westerterp published in AJCN
1. Data comprised 2000 individuals aged 3 to 96 where total energy expenditure TEE and resting energy expenditure REE were available. Physical activity level (PAL) was calculated as the ratio of TEE/REE. Fat-free mass FFM estimated from isotope dilution.
2. PAL = 1.5 reflects sedentary lifestyle and PAL = 2 is extremely active.
Very happy to be part of this great paper led by @lewis_halsey and @CareauVincent using data from the DLW database (dlwdatabase.org) and published Open access in Current Biology
2. When we exercise we burn energy. However, those calories we burn do not necessarily translate into more calories burned at the end of the day. How is that possible if the laws of thermodynamics and energy conservation are correct?
3. The answer is that we may compensate the energy we spend on exercise by making savings elsewhere in our energy budget. Work in the 1990s for example by among others @michaelgoran showed that if you make older people exercise they reduce their activity at other times of day.