Social and Nutritional Profiles of Pregnant Women: A Cluster Analysis on the “MAMI-MED” Cohort
Cluster analysis can help identify high-risk groups who may benefit from personalized public health interventions. Our results highlight the need to examine the complex interactions between socio-demographic, behavioral, and genetic factors that contribute to maternal-infant health.
Authors
- Giuliana Favara (ORCID: https://orcid.org/0000-0003-0812-8386)
- Antonella Agodi (ORCID: https://orcid.org/0000-0002-4405-8162)
- Giuseppe Ettore (ORCID: https://orcid.org/0000-0002-5765-7682)
- Andrea Maugeri (ORCID: https://orcid.org/0000-0003-2655-8574)
- Martina Barchitta (ORCID: https://orcid.org/0000-0002-0905-5003)
- Carla Ettore (ORCID: https://orcid.org/0000-0003-0864-2801)
- Elisa Pappalardo (ORCID: https://orcid.org/0000-0001-6881-9176)
- Roberta Magnano San Lio (ORCID: https://orcid.org/0000-0003-2023-2135)
- Fabiola Galvani
- Claudia La Mastra
- Maria Clara La Rosa
Institutions
- University of Catania (IT)
- Azienda di Rilievo Nazionale ed Alta Specializzazione (IT)
Publication Details
- Journal
- Nutrients
- Published
- 2024-11-21
- DOI
- https://doi.org/10.3390/nu16233975
- Citations
- 1
- Primary Topic
- Birth, Development, and Health
- Type
- article
- Field-Weighted Citation Impact
- 1.11