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Maternal prepregnancy obesity and gestational diabetes influence on adverse perinatal outcomes
Carvalho, Leonardo Souza de; Oliveira, Antônia Aparecida Deluca de; Grabovski, Tassiana Cristina Martins; Renzo, Carla Christina; Silva, Rodrigo Ribeiro e; Loz, Sabrina Hafemann; Silva, Jean Carl.
Affiliation
  • Carvalho, Leonardo Souza de; Universidade da Região de Joinville. Programa de Mestrado em Saúde e Meio Ambiente. Joinville. BR
  • Oliveira, Antônia Aparecida Deluca de; Universidade da Região de Joinville. Programa de Mestrado em Saúde e Meio Ambiente. Joinville. BR
  • Grabovski, Tassiana Cristina Martins; Universidade da Região de Joinville. Programa de Mestrado em Saúde e Meio Ambiente. Joinville. BR
  • Renzo, Carla Christina; Universidade da Região de Joinville. Programa de Mestrado em Saúde e Meio Ambiente. Joinville. BR
  • Silva, Rodrigo Ribeiro e; Universidade da Região de Joinville. Faculdade de Medicina. Joinville. BR
  • Loz, Sabrina Hafemann; Universidade da Região de Joinville. Faculdade de Medicina. Joinville. BR
  • Silva, Jean Carl; Universidade da Região de Joinville. Programa de Mestrado em Saúde e Meio Ambiente. Joinville. BR
Arch. endocrinol. metab. (Online) ; 67(4): e000605, Mar.-Apr. 2023. tab, graf
Article in En | LILACS-Express | LILACS | ID: biblio-1439221
Responsible library: BR1.1
ABSTRACT
ABSTRACT

Objective:

Evaluate the influence of isolated and associated prepregnancy obesity and gestational diabetes mellitus (GDM) on adverse perinatal outcomes. Materials and

methods:

Cross-sectional observational study with women who delivered at a Brazilian Maternity Hospital, between August and December 2020. Data were collected by interview with application form, and medical records. Sample was stratified by body mass index (BMI) and GDM screening in four groups no obesity (BMI < 30 kg/m2) no GDM - reference; isolated GDM; isolated obesity (BMI ≥ 30 kg/m2); and obesity with GDM. Preeclampsia (PE), cesarean section (CS), large-for-gestational-age (LGA) newborn and admission to neonatal intensive care unit (NICU) were analyzed by odds ratio (OR) adjusted for confounding factors, adopting 95% confidence interval (CI) and P < 0.05 statistically significant.

Results:

From 1,618 participants, isolated obesity group (233/14.40%) had high chance of PE (OR = 2.16; CI 1.364-3.426; P = 0.001), isolated GDM group (190/11.74%) had high chance of CS (OR = 1.736; CI 1.136-2.652; P = 0.011) and NICU admission (OR = 2.32; CI 1.265-4.261; P = 0.007), and obesity with GDM group (121/7.48%) had high chance of PE (OR = 1.93; CI 1.074-3.484; P = 0.028), CS (OR = 1.925; CI 1.124-3.298; P = 0.017) and LGA newborn (OR = 1.81; CI 1.027-3.204; P = 0.040), compared with reference (1,074/66.38%).

Conclusion:

Obesity and GDM enhances the chance of different negative outcomes, worsening this prognosis when associated.
Key words

Full text: 1 Index: LILACS Type of study: Observational_studies / Prognostic_studies Language: En Journal: Arch. endocrinol. metab. (Online) Journal subject: ENDOCRINOLOGIA / METABOLISMO Year: 2023 Type: Article

Full text: 1 Index: LILACS Type of study: Observational_studies / Prognostic_studies Language: En Journal: Arch. endocrinol. metab. (Online) Journal subject: ENDOCRINOLOGIA / METABOLISMO Year: 2023 Type: Article