Journal of Obesity and Metabolism
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  • Short Communication   
  • J Obes Metab 2024, Vol 7(2): 212
  • DOI: 10.4172/jomb.1000212

Illuminating Obesity Trends across Animal Groups

Vijay Avanti*
Department of Medicine, University of Minnesota, USA
*Corresponding Author : Vijay Avanti, Department of Medicine, University of Minnesota, USA, Email: vijay@avanti.com

Received Date: Apr 01, 2024 / Published Date: Apr 30, 2024

Abstract

The rising prevalence of obesity across human populations has prompted increased research and public health initiatives. However, obesity is not solely a human phenomenon; it affects various animal species as well. This study aims to illuminate obesity trends across different animal groups, drawing parallels and insights that can inform our understanding of this global health issue. Utilizing a cross-animal categories approach, we examined obesity prevalence, contributing factors, and health implications across mammals, birds, and other vertebrates. Data was collected from a wide range of sources, including wildlife studies, domestic animal surveys, and experimental research. Our findings reveal striking similarities in obesity trends across species. Factors such as diet, physical activity, and environmental changes were identified as common contributors to obesity across different animal groups. Moreover, the health consequences of obesity, such as cardiovascular diseases, diabetes, and reduced lifespan, were observed across the board. This comparative analysis provides a holistic view of obesity as a multifaceted issue that transcends human boundaries. By understanding obesity in the context of other animals, we can gain valuable insights into its causes and consequences, paving the way for more effective prevention and intervention strategies across species.

Citation: Vijay A (2024) Illuminating Obesity Trends across Animal Groups. J ObesMetab 7: 212. Doi: 10.4172/jomb.1000212

Copyright: © 2024 Vijay A. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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