News Release

Malnutrition during pregnancy increases diabetes incidence

Early malnutrition increases the risk of type 2 diabetes and other diseases later in life. In a recent study, researchers at the Complexity Science Hub and Medical University of Vienna showed this to be true.

Peer-Reviewed Publication

Complexity Science Hub Vienna

Excess incidence rates related to famines

image: Fig. 2. A) Age-specific incidence rates for patients aged between 50 and 100 for females and males in 2017. Birth years are shown on the second (top) x-axis. Results adjusting for patients with discontinued antidiabetic treatments. Grey vertical areas indicate patient cohorts that were born in years of famine. (B) Change in incidence rates over the years 2013 to 2017 for patients of ages 50 to 100. Red and blue lines highlight results for females and males, respectively. A general trend of decreased incidence rates can be seen, with two age ranges of increased incidence rates that can be linked with famine cohorts. view more 

Credit: Complexity Science Hub

[Vienna, July 20, 2023]  A number of studies have already shown that malnutrition during pregnancy may increase the risk of developing type 2 diabetes later on in life. According to a 2013 study by Peter Klimek and his team, people born during a famine have more than twice the risk of diabetes compared to those born one year earlier or later. 

Up to 78 percent increase

Now, for the first time, Klimek and his team have succeeded in measuring not only the total number of diabetes cases (prevalence), but also the incidence, or the number of new cases, in a recent study. 

“Among men born during the two most severe famine periods, 1939 and 1946/1947, the rate of new cases of diabetes is up to 78 percent higher in 2013 to 2017 than in comparable years, and up to 59 percent higher among women,” explains Klimek, from the Complexity Science Hub and the Medical University of Vienna. The effect is strongest in those born in 1939. 

The incidence rate rose from 3.9 percent to 6.9 percent among men and from 3.4 percent to 5.4 percent among women. Additionally, both groups have an increased incidence of concomitant conditions such as heart failure, arterial hypertension, chronic obstructive pulmonary disease (COPD), and kidney disease.

Genetic programming

Scientists believe this is a result of genetic programming that occurs during pregnancy, which increases the risk of these diseases. As a result of deficiency, the unborn child’s metabolism adjusts to a nutritionally poor environment. If this does not prove true later in life, a maladaptation occurs that leads to increased metabolic and cardiovascular diseases in these birth groups.

Good data set

“One strength of our study is the new, large dataset on which it is based,” says Klimek. This covers 99.9 percent of the Austrian population between 2012 and 2017, and all insured patients aged over 50 and under 100 were examined. Of these approximately 3.5 million people, 746,184 were treated for diabetes. The comprehensive dataset allowed researchers to measure age-specific and regional incidence rates directly for the entire population, without additional assumptions that would be required for modeling. 

“Our results clearly demonstrate that public health efforts to address diabetes should not focus solely on lifestyle factors. The importance of reproductive health, as well as adequate nutrition during pregnancy and in the early postnatal period, must also be considered,” Klimek said.

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Find out more

The study “Diabetes incidence in Austria: The role of famines on diabetes and related NCDs” by Michaela Kaleta, Michael Leutner, Stefan Thurner, Alexander Kautzky, Gottfried Endel, Noemi Kiss, Martin Robausch, Alexandra Kautzky-Willer, and Peter Klimek, was published in Heliyon Volume 9, Issue 7, July 2023, e17570.

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About the Complexity Science Hub

The mission of the Complexity Science Hub (CSH) is to host, educate, and inspire complex systems scientists dedicated to making sense of Big Data to boost science and society. Scientists at the Complexity Science Hub develop methods for the scientific, quantitative, and predictive understanding of complex systems.

The CSH is a joint initiative of the Austrian Institute of Technology (AIT), Central European University (CEU), University for Continuing Education Krems, Graz University of Technology, Medical University of Vienna, TU Wien, VetMedUni Vienna, Vienna University of Economics and Business, and Austrian Economic Chambers (WKO). https://www.csh.ac.at

 


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