الإنتاج البحثي لأعضاء هيئة التدريس بالكلية V.8 - Flipbook - Page 161
Cardiology can benefit from Big Data, which are generated and released by different sources and
channels, like epidemiological surveys, national registries, electronic clinical records, claims-based
databases (epidemiological Big Data), wet-lab, and next-generation sequencing (molecular Big
Data), smartphones, smartwatches, and other mobile devices, sensors and wearable technologies,
imaging techniques (computational Big Data), non-conventional data streams such as social
networks, and web queries (digital Big Data), among others. Big Data is increasingly having a more
and more relevant role, being highly ubiquitous and pervasive in contemporary society and paving
the way for new, unprecedented perspectives in biomedicine, including cardiology. Big Data can
be a real paradigm shift that revolutionizes cardiological practice and clinical research. However,
some methodological issues should be properly addressed (like recording and association biases)
and some ethical issues should be considered (such as privacy). Therefore, further research in the
field is warranted.
(8) Jabbour, G., Bragazzi, NL. (2021). Continuous Blood Glucose Monitoring Increases
Vigorous Physical Activity Levels and Is Associated With Reduced Hypoglycemia Avoidance
Behavior
In
Youth
With
Type
1
Diabetes.
Front
Endocrinol
12.
https://doi.org/10.3389/fendo.2021.722123
The primary goal of this study was to explore physical activity (PA) levels, hypoglycemia fear
scores and hypoglycemia episodes according to insulin administration and blood glucose
monitoring methods in youth with type 1 diabetes (T1D). A self-administered questionnaire was
completed by 28 children and 33 adolescents with T1D, and their PA was assessed. Hypoglycemia
episodes, fear of hypoglycemia scores, insulin therapy (pump vs. injection) and blood glucose
monitoring (continuous blood glucose monitors [CGMs] vs. blood glucose meters) methods are
reported in the present work. There were no significant differences in the number of hypoglycemic
episodes, child hypoglycemia fear survey behavior or total scores, or any components of the PA
profile between youth using injections and those using a pump. However, these variables differed
significantly when compared according to blood glucose monitoring method (CGMs vs. blood
glucose meters): 41.2 vs. 81.8, p
