Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23087, first published .
Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study

Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study

Informatics Methodology Used in the Web-Based Portal of the NASCITA Cohort Study: Development and Implementation Study

Journals

  1. Pandolfini C, Clavenna A, Cartabia M, Campi R, Bonati M. National, longitudinal NASCITA birth cohort study to investigate the health of Italian children and potential influencing factors. BMJ Open 2022;12(11):e063394 View
  2. Clavenna A, Morabito E, Cartabia M, Campi R, Pandolfini C, Bonati M. National, longitudinal NASCITA birth cohort study: prevalence of overweight at 12 months of age in children born healthy. BMJ Paediatrics Open 2023;7(1):e001622 View
  3. Segre G, Clavenna A, Cartabia M, Bonati M. Postpartum depression screening in mothers and fathers at well-child visits: a feasibility study within the NASCITA cohort. BMJ Open 2023;13(6):e069797 View
  4. Wang D, Zhou X, Ning J, He F, Shi J, Jin X. Risk factors for neonatal hypoglycemia: a meta-analysis. BMC Endocrine Disorders 2024;24(1) View