Finding Groups in a Portuguese Overweight Population, with Real World Data

Overweight is a significant risk factor for noncommunicable diseases (NCDs) such as type II diabetes and cardiovascular conditions. This study used real-world data from the Northern Portugal Regional Health Administration to identify distinct subgroups within an overweight population. A retrospective analysis of 573,649 individuals coded with ICPC T83 in 2019 was performed, with k-means clustering applied after multiple imputations. Two clusters were identified: Cluster 1 (C1) comprised mainly older men with higher weight, abdominal perimeter, alcohol and tobacco consumption, and increased cardiometabolic risk. Cluster 2 (C2) consisted primarily of younger women with lower anthropometric measures and healthier lifestyle behaviors. Clinicians in C1 accessed forms on physical activity and substance use more frequently, suggesting a focus on lifestyle interventions. These findings highlight the importance of tailored approaches in managing overweight individuals, with C1 requiring more intensive interventions and C2 benefiting from preventive strategies.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250584
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
0.00
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article

Finding Groups in a Portuguese Overweight Population, with Real World Data

Andréia Teixeira, Luísa Castro, Pedro Pereira Rodrigues, Rosália Páscoa et al.
Studies in health technology and informatics
Nutritional Studies and Diet
article

Finding Groups in a Portuguese Overweight Population, with Real World Data

Andréia Teixeira, Luísa Castro, Pedro Pereira Rodrigues, Rosália Páscoa, Mariana Castanheiro
article en

Abstract

Overweight is a significant risk factor for noncommunicable diseases (NCDs) such as type II diabetes and cardiovascular conditions. This study used real-world data from the Northern Portugal Regional Health Administration to identify distinct subgroups within an overweight population. A retrospective analysis of 573,649 individuals coded with ICPC T83 in 2019 was performed, with k-means clustering applied after multiple imputations. Two clusters were identified: Cluster 1 (C1) comprised mainly older men with higher weight, abdominal perimeter, alcohol and tobacco consumption, and increased cardiometabolic risk. Cluster 2 (C2) consisted primarily of younger women with lower anthropometric measures and healthier lifestyle behaviors. Clinicians in C1 accessed forms on physical activity and substance use more frequently, suggesting a focus on lifestyle interventions. These findings highlight the importance of tailored approaches in managing overweight individuals, with C1 requiring more intensive interventions and C2 benefiting from preventive strategies.

Studies in health technology and informaticsVol. 327
Universidade do Porto (PT), Universidade Politécnica de Viana do Castelo (PT), Centro Hospitalar de Lisboa Ocidental (PT), Centre for Health Technology and Services Research (PT)
Good health and well-being
Openalex Percentile: Top 73%
Nutritional Studies and Diet
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