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.
“This data gap in the official reporting of cases and deaths is a significant challenge, particularly as policymakers rely on official data. Data biases and skewed data can lead to suboptimal policymaking and inefficient allocation of resources,” emphasizes Desvars-Larrive.
Moreover, the researchers noted a “geographic gap.” While certain countries, mainly in the Global North, routinely share data on SARS-CoV-2 cases in animals, this is less common in the Global South, where resource availability may be a major barrier to effective data collection and dissemination.
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.
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.
