Obesity in children may impact healthy development. With more clinical information on this impact, clinicians will be able to better advise patients to follow healthier lifestyles at an earlier age.
The impact of obesity on the heart’s anatomy for young children, specifically how the heart adapts to obesity and the extra demand it generates independently from other factors such as our natural growth and development is revealed by researchers from King’s College London. The study was published in European Heart Journal — Cardiovascular Imaging.
‘Knowing how the heart adapts to obesity has the potential to aid the detection of individual future risks during adulthood.’
Obesity remains one of the most important issues in global health. Almost 60 percent of EU adults and roughly one-third of 11-year-olds are overweight or obese and obesity-related conditions are the leading causes of preventable death, according to the World Health Organisation.In the study, extensive data collection has been conducted over the years, from the early prenatal phase through childhood, to examine the development of the cardiovascular system and early cardiovascular risk factors.
Data collection included the CMR imaging scans that study the hearts of 2,631 children aged 10, with a balanced sex distribution (51.3% girls) from Generation R Study, a population-based prospective cohort study from fetal life onwards in the Netherlands.
With their findings, the researchers say understanding and quantifying the impact of obesity on development is becoming much clearer.
Heart Researcher Professor Pablo Lamata said: “In the future, this pattern of remodeling could inform risk prediction models and raise an earlier awareness of the importance of adopting a healthier lifestyle from childhood.”
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Strikingly, the remodeling becomes significant at a BMI of roughly 19 in children aged 10, corresponding to the threshold of overweight range in adults BMI 25.
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Future research will answer if this is an adaptive or a maladaptive response and whether this remodeling signature could inform risk prediction models.
Source-Medindia