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M.G.S.D. Gestational diabetes study

This study investigates gestational diabetes mellitus (GDM) among a diverse population from multiple Mediterranean countries, excluding data from Portugal. The analysis includes participants from 47 different nationalities and focuses on risk factors, glycaemia parameters, and the diagnostic criteria for GDM. Key statistical methods, including multivariate analysis and Pearson correlation coefficients, are utilized to identify predictive factors associated with the development of GDM. The research aims to enhance understanding of GDM in women of Mediterranean descent.

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M.G.S.D. Gestational diabetes study

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  1. M.G.S.D.Gestational diabetes study Analysis of data First encounter [V1] J. Vassallo Research Management Committee – M.G.S.D.

  2. First encounter data [V1] • Data to be analyzed by overall Mediterranean population • Study population from following countries  • Data from Portugal [centre 21]  not included in present analysis • Study population composed of 47 nationalities • Northern bank 596 ] • Maghreb region 381 ]  1145 • Eastern Mediterranean 168 ] • Other European 15 ] • Other African 23 ] • American continent 7 ]  64 • Oceania [Maltese origin] 6 ] • Asia 13 ] • 1 unknown 12 women had 1 or both parents from Med country

  3. Study population characteristics

  4. Diagnostic criteria *1 Two or more abnormal values needed

  5. Risk factors analysis

  6. Risk factors analysis

  7. Risk factors parameters

  8. Glycaemia parameters

  9. Glycaemia parameters

  10. BMI biochemical correlations Pearson coefficient = 0.2 Pearson coefficient = 0.3 Pearson coefficient = 0.2 Pearson coefficient = 0.2

  11. HbA1c biochemical correlations Pearson coefficient = 0.1 Pearson coefficient = 0.1 Pearson coefficient = 0.8 Pearson coefficient = 0.3

  12. FBG biochemical correlations Pearson coefficient = 0.6 Pearson coefficient = 0.3 Pearson coefficient = 0.3

  13. Further data analysis – V1 Completion of outstanding data sets Multivariate analysis of data with identification of factors predictive of development of GDM .

  14. . Thank you

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