We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Medical Imaging Health IT Point of Care Business Focus

Increased Diabetes Prevalence Due to Medical Advances

By HospiMedica International staff writers
Posted on 17 May 2016
A new study has concluded that the global increase in type 1 diabetes (T1D) mellitus is directly linked to reduced natural selection resulting from improved medical care.

Researchers at the University of Adelaide (UA; Australia) and the University of Zurich (UZH; Switzerland) examined the prevalence of T1D in 118 countries and concurrent changes in life expectancy from 1950 to 2010 to test correlation of T1D to reduced natural selection, as measured by the Biological State Index. To do so, they first obtain country-specific estimates of T1D prevalence, life expectancy, obesity prevalence rate, urbanization rates, per capita sugars consumption, and per capita gross domestic product (GDP).

The data obtained were then matched to T1D prevalence in all the countries, which were also grouped to study associations in different geographical regions. After applying the Biological State Index to the data, they found that the rapid worldwide increase in T1D over the last few decades was directly linked with increases in human life expectancy, especially in Western countries, and therefore a reduction in natural selection. The study was published on March 2, 2106, in BMJ Open Diabetes Research & Care.

“The current prevailing paradigm on the increasing prevalence of T1D is that environmental pressures are now able to trigger genotypes. Currently, medical gene intervention in modern medicine at this stage cannot remove T1D genes, and eugenics can offer no direction due to ethics issue,” concluded study co-author Wen-Peng You, PhD, of UA. “Study of T1D epidemiology based on prevalence/incidence T1D data of all age groups has become imperative, as it may offer optimal solution to address, or at least slow down, T1D genetic load increases in different populations.”

“Natural selection is one of the major evolutionary forces that inform changes in our genes, across populations and over generations. This is the first major disease we have shown that is accumulating due to a relaxation of natural selection over time,” said study co-author Professor Maciej Henneberg, PhD, of UA and UZH. “It's unlikely this situation will ever be reversed, meaning that in order to overcome the problems associated with type 1 diabetes for our population, some form of gene therapy to repair the faulty genes may need to be considered.”

Natural selection, one of the basic mechanisms of evolution, is the differential survival and fertility of individuals due to differences in phenotype that reflect genetic differences. In modern society, natural selection still acts on all members of a population, selecting those that have an increased reproductive success due to survival and/or fertility. The Biological State Index takes into account potential loss of reproductive success by dying at an earlier age. The effect of natural selection on contemporary populations is declining due to modern medicine.

Related Links:
University of Adelaide
University of Zurich

Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Gold Member
Neonatal Heel Incision Device
Tenderfoot
Patient Monitoring System
AlarmSense
Blood Pressure Monitor
Cuff Blood Pressure Monitor

Channels

Patient Care

view channel
Image Credit: Adobe Stock

AI Platform Personalizes Support Between Visits for Cancer Survivors

Cancer survivors often manage persistent side effects after treatment, including fatigue, anxiety, uncertainty, symptoms, stress, and questions between appointments. Clinical teams need ways to maintain... Read more

Medical Imaging

view channel
Image: Annotation platform for pixel-level labeling of free-text findings in 3D chest CT. (Baharoon M, Luo L, Moritz M, et al. ReXGroundingCT: A 3D chest CT dataset for segmentation of findings from free-text reports. NEJM AI. 2026;3(7). doi:10.1056/AIdbp2501220.)

Public Chest CT Dataset Supports Explainable AI in Diagnostic Radiology

Chest computed tomography scans generate complex three-dimensional images that can be difficult for artificial intelligence systems to explain clearly. Clinicians need to verify AI findings before using... Read more

Point of Care

view channel
Image Credit: 123RF

Continuous Glucose Monitoring Identifies Cardiometabolic Risk in Adults Without Diabetes

Dysglycemia—abnormal blood glucose regulation—can fluctuate throughout the day and often escape conventional screening. Clinicians typically rely on fasting plasma glucose and hemoglobin A1c, which offer... Read more

Business

view channel
Image: The proposed acquisition would add NeoCast, an investigational next-generation liquid embolic technology for chronic subdural hematoma (cSDH), to Terumo Neuro’s neurovascular portfolio. (Photo courtesy of Arsenal Medical)

Terumo Neuro Acquisition Advances Liquid Embolic Technology for Chronic Subdural Hematoma

Terumo Neuro (Aliso Viejo, CA, USA) signed an agreement to acquire Arsenal Medical Inc. (Waltham, MA, USA), a privately held, clinical-stage biomaterials company. The proposed acquisition would add NeoCast,... Read more