TY - JOUR
T1 - Bridging the gap in obesity research
T2 - A consensus statement from the European Society for Clinical Investigation
AU - Carbone, Federico
AU - Després, Jean Pierre
AU - Ioannidis, John P.A.
AU - Neeland, Ian J.
AU - Garruti, Gabriella
AU - Busetto, Luca
AU - Liberale, Luca
AU - Ministrini, Stefano
AU - Vilahur, Gemma
AU - Schindler, Thomas H.
AU - Macedo, Maria Paula
AU - Di Ciaula, Agostino
AU - Krawczyk, Marcin
AU - Geier, Andreas
AU - Baffy, Gyorgy
AU - Faienza, Maria Felicia
AU - Farella, Ilaria
AU - Santoro, Nicola
AU - Frühbeck, Gema
AU - Yárnoz-Esquiroz, Patricia
AU - Gómez-Ambrosi, Javier
AU - Chávez-Manzanera, Emma
AU - Vázquez-Velázquez, Verónica
AU - Oppert, Jean Michel
AU - Kiortsis, Dimitrios N.
AU - Sbraccia, Paolo
AU - Zoccali, Carmine
AU - Portincasa, Piero
AU - Montecucco, Fabrizio
N1 - Publisher Copyright:
© 2025 The Author(s). European Journal of Clinical Investigation published by John Wiley & Sons Ltd on behalf of Stichting European Society for Clinical Investigation Journal Foundation.
PY - 2025/8
Y1 - 2025/8
N2 - Background: Most forms of obesity are associated with chronic diseases that remain a global public health challenge. Aims: Despite significant advancements in understanding its pathophysiology, effective management of obesity is hindered by the persistence of knowledge gaps in epidemiology, phenotypic heterogeneity and policy implementation. Materials and Methods: This consensus statement by the European Society for Clinical Investigation identifies eight critical areas requiring urgent attention. Key gaps include insufficient long-term data on obesity trends, the inadequacy of body mass index (BMI) as a sole diagnostic measure, and insufficient recognition of phenotypic diversity in obesity-related cardiometabolic risks. Moreover, the socio-economic drivers of obesity and its transition across phenotypes remain poorly understood. Results: The syndemic nature of obesity, exacerbated by globalization and environmental changes, necessitates a holistic approach integrating global frameworks and community-level interventions. This statement advocates for leveraging emerging technologies, such as artificial intelligence, to refine predictive models and address phenotypic variability. It underscores the importance of collaborative efforts among scientists, policymakers, and stakeholders to create tailored interventions and enduring policies. Discussion: The consensus highlights the need for harmonizing anthropometric and biochemical markers, fostering inclusive public health narratives and combating stigma associated with obesity. By addressing these gaps, this initiative aims to advance research, improve prevention strategies and optimize care delivery for people living with obesity. Conclusion: This collaborative effort marks a decisive step towards mitigating the obesity epidemic and its profound impact on global health systems. Ultimately, obesity should be considered as being largely the consequence of a socio-economic model not compatible with optimal human health.
AB - Background: Most forms of obesity are associated with chronic diseases that remain a global public health challenge. Aims: Despite significant advancements in understanding its pathophysiology, effective management of obesity is hindered by the persistence of knowledge gaps in epidemiology, phenotypic heterogeneity and policy implementation. Materials and Methods: This consensus statement by the European Society for Clinical Investigation identifies eight critical areas requiring urgent attention. Key gaps include insufficient long-term data on obesity trends, the inadequacy of body mass index (BMI) as a sole diagnostic measure, and insufficient recognition of phenotypic diversity in obesity-related cardiometabolic risks. Moreover, the socio-economic drivers of obesity and its transition across phenotypes remain poorly understood. Results: The syndemic nature of obesity, exacerbated by globalization and environmental changes, necessitates a holistic approach integrating global frameworks and community-level interventions. This statement advocates for leveraging emerging technologies, such as artificial intelligence, to refine predictive models and address phenotypic variability. It underscores the importance of collaborative efforts among scientists, policymakers, and stakeholders to create tailored interventions and enduring policies. Discussion: The consensus highlights the need for harmonizing anthropometric and biochemical markers, fostering inclusive public health narratives and combating stigma associated with obesity. By addressing these gaps, this initiative aims to advance research, improve prevention strategies and optimize care delivery for people living with obesity. Conclusion: This collaborative effort marks a decisive step towards mitigating the obesity epidemic and its profound impact on global health systems. Ultimately, obesity should be considered as being largely the consequence of a socio-economic model not compatible with optimal human health.
KW - body mass index
KW - cardiovascular risk
KW - management of obesity
KW - metabolic dysfunction-associated steatotic liver disease
KW - metabolically healthy obesity
KW - obesities
KW - obesity
KW - obesity definition
KW - obesity transition
KW - paediatric obesity
KW - waist circumference
UR - https://www.scopus.com/pages/publications/105005514036
U2 - 10.1111/eci.70059
DO - 10.1111/eci.70059
M3 - Review article
C2 - 40371883
AN - SCOPUS:105005514036
SN - 0014-2972
VL - 55
JO - European Journal of Clinical Investigation
JF - European Journal of Clinical Investigation
IS - 8
M1 - e70059
ER -