Impact of overweight and obesity on pregnancy outcomes in women with gestational diabetes - results from a retrospective multicenter study

ABSTRACT Objective The aim of this study was to evaluate the impact of pre-pregnancy body mass index (BMI) on pregnancy outcomes in women with gestational diabetes (GD). Subjects and methods Retrospective multicenter study using data from the Portuguese National Register. We included women with GD with a singleton pregnancy. GD diagnosis was according to the International Association of the Diabetes and Pregnancy Study Group criteria. Women were divided into groups according to their pre-pregnancy BMI: < 18.5 kg/m2 (underweight), ≥ 18.5 and < 25.0 kg/m2 (normal weight), ≥ 25 and < 30 kg/m2 (overweight) and ≥ 30 kg/m2 (obese). Results We included 3,103 pregnant women with GD, 29.6% (n = 918) were overweight and 27.3% (n = 846) were obese. Compared to normal weight, the overweight and obese groups had a higher percentage of gestational hypertension (4.0% and 8.5% vs. 2.1%), cesarean delivery (32.8% and 41.3% vs. 27.9%), macrosomia (3.9% and 6.7% vs. 2.4%), and large for gestational age (LGA) newborns (8.3% and 13.5% vs. 6.0%). Obesity increased the risk of gestational hypertension (OR 4.5, p < 0.001), preeclampsia (OR 1.9, p = 0.034), cesarean delivery (OR 2.0, p < 0.001), macrosomia (OR 3.1, p < 0.001) and LGA (OR 2.3, p < 0.001). Conclusion In pregnant women with GD, pregnancy complications increase with pre-pregnancy BMI. In obese women, appropriate diet and counseling prior to gestation and more aggressive medical intervention during pregnancy are needed in order to prevent macrosomic and LGA newborns and to reduce maternal complications.

Relationship between minimally and ultra-processed food intake during pregnancy with obesity and gestational diabetes mellitus / A relação entre consumo de alimentos minimamente processados e ultraprocessados durante a gestação e obesidade e diabetes mellitus gestacional / La relación entre el consumo de comida mínimamente procesada y ultraprocesada durante embarazos con obesidad y diabetes mellitus gestacional

This study aimed to investigate the relationship between food intake (considering the nature, extent, and purpose of food processing) during pregnancy and overweight, obesity, and gestational diabetes mellitus conditions. This is a cross-sectional study conducted among 785 adult women in singleton pregnancies (between 24th and 39th weeks of gestation) in Brazil. Usual food intake was estimated by the Multiple Source Method, using two 24-hour dietary recalls. The food groups of interest in this study were the unprocessed or minimally processed foods and ultra-processed foods. The World Health Organization criteria for the diagnosis of gestational diabetes mellitus and the Atalah criteria for excess weight were used. Adjusted multinomial logistic regression models were used to assess the relationship between energy contribution (%E) from foods with overweight and obesity conditions and, adjusted logistic regression models for gestational diabetes mellitus. In total, 32.1% participants were overweight, 24.6% were obese, and 17.7% of women were diagnosed with gestational diabetes mellitus . After adjustments, an inverse association between the highest tertile of %E from the intake of unprocessed or minimally processed foods and obesity was found [0.49 (0.30-0.79)]. Moreover, a positive association between the highest tertile of %E from ultra-processed food intake [3.06 (1.27-3.37)] and obesity was observed. No association between food intake (considering the nature, extent, and purpose of food processing) during pregnancy and overweight or gestational diabetes mellitus was found. The findings suggest a role of food processing in obesity but not in gestational diabetes mellitus. Further research is warranted to provide robust evidence on the relationship between the role of processed foods in obesity and gestational diabetes mellitus.

O objetivo deste estudo foi investigar a relação entre o consumo de alimentos (considerando a natureza, extensão e propósito do processamento de alimentos) durante a gestação e sobrepeso, obesidade e diabetes mellitus gestacional. Estudo transversal realizado com 785 mulheres adultas com gestações únicas (24ª-39ª semanas de gestação) no Brasil. O consumo usual de alimentos foi estimado usando o Multiple Source Method, usando recordatórios alimentares de 24 horas. Os grupos alimentares de interesse neste estudo foram os alimentos não-processados e minimamente processados e os alimentos ultraprocessados. Os critérios da Organização Mundial da Saúde para diagnóstico de diabetes mellitus gestacional e critérios de Atalah para excesso de peso foram usados. Modelos de regressão logística multinomial foram empregados para avaliar a relação entre a contribuição energética (%E) de alimentos e sobrepeso e obesidade, e modelos de regressão logística ajustados foram usados para diabetes mellitus gestacional. No total, 32,1% das gestantes estavam com sobrepeso, 24,6% com obesidade e 17,7% foram diagnosticadas com diabetes mellitus gestacional. Após ajustes, uma associação inversa entre obesidade e o maior tercil de %E do consumo de alimentos não-processados ou minimamente processados foi encontrada [0,49 (0,30-0,79)]. Além disso, uma associação positiva entre obesidade e o maior tercil de %E do consumo de alimentos ultraprocessados [3,06 (1,27-3,37)] foi observada. Nenhuma associação entre consumo de alimentos (considerando a natureza, extensão e propósito do processamento de alimentos) durante a gestação e sobrepeso ou diabetes mellitus gestacional foi encontrada. Os resultados sugerem o papel do processamento de alimentos na obesidade, mas não na diabetes mellitus gestacional. Pesquisas adicionais são necessárias para fornecer evidências robustas sobre a relação entre o papel do processamento de alimentos na obesidade e na diabetes mellitus gestacional durante a gestação.

El objetivo del presente estudio fue investigar la relación entre el consumo de comida (considerando la naturaleza, alcance, y propósito del procesamiento de comida) durante el embarazo y el sobrepeso, obesidad, y diabetes mellitus gestacional. Se realizó un estudio transversal con 785 mujeres adultas de embarazos únicos (24ª-39ª semanas de gestación) en Brasil. El consumo habitual se estimó mediante un Multiple Source Method, usando dos encuestas de 24-hour en relación con los hábitos alimentarios. Los grupos de comidas de interés en el presente estudio fueron los mínimamente procesados o sin procesar y los productos de comida ultraprocesada. Se utilizaron criterios de la Organización Mundial de la Salud para el diagnostico de diabetes mellitus gestacional, y los criterios Atalah para el sobrepeso. Se utilizaron modelos ajustados de regresión logística multinomial para evaluar la relación entre la contribución energética (%E) de comidas con el sobrepeso y la obesidad, y modelos ajustados de regresión logística para la diabetes mellitus gestacional . En total, un 32,1% sufrían sobrepeso, un 24,6% eran obesas, y un 17,7% de las mujeres fueron diagnosticadas con diabetes mellitus gestacional. Tras los ajustes, se encontró una asociación inversa entre el tercil más alto de %E, procedente del consumo de comidas sin procesar o mínimamente procesadas con la obesidad [0,49 (0,30-0,79)]. Asimismo, se encontró una asociación positiva entre el tercil más alto de %E de comida ultraprocesada [3,06 (1,27-3,37)] y la obesidad. No se encontró ninguna asociación entre el consumo de comida (considerando la naturaleza, alcance, y propósito de la comida procesada) durante el embarazo y el sobrepeso, respecto a la diabetes mellitus gestacional. Los resultados sugieren la importancia de la comida procesada en la obesidad pero no así en la diabetes mellitus gestacional. Son necesarias más investigaciones para proporcionar evidencias sólidas sobre la relación entre el papel de la comida procesada en la obesidad y diabetes mellitus gestacional durante el embarazo.

Diabetes Gestacional: asociación con grupo ABO / Association of abo blood groups with gestational diabetes mellitus

Background: ABO and Rhesus blood systems are associated with type 2 Diabetes Mellitus (DM2). Gestational Diabetes (GDM) is a model to study DM. Aim: To study the association between GDM and ABO and Rhesus groups. Material and Methods: A retrospective cohort study was performed in 1,078 women who gave birth to a singleton in Talca Regional Hospital, Chile, during 2008. We analyzed personal, obstetric, medical data and ABO and Rh blood groups. Results: GDM was diagnosed in 6.6% of women. Age and body mass index were significantly associated with GDM. There were no differences in Rh blood groups (p = 0.604), while ABO groups were different between GDM and controls. B antigen was present in 3% of GDM women and in 10.8% of controls (p = 0.037), with an odds ratio of 0.25 after adjusting for other associated risk factors (p = 0.06). Conclusions: ABO group is suggested as a possible protector marker for GDM.

Fatores de risco para diabetes mellitus gestacional na coorte de nascimentos de Pelotas, Rio Grande do Sul, Brasil, 2004 / Risk factors for gestational diabetes mellitus in the birth cohort in Pelotas, Rio Grande do Sul State, Brazil, 2004

Consensus statements by various countries have reported age, obesity, and family history of diabetes mellitus as risk factors for gestational diabetesmellitus. Other factors remain controversial. The aim of this study was to investigate factors associated with gestational diabetes among mothersof newborns from the birth cohort in Pelotas, Rio Grande do Sul State, Brazil, in 2004. We interviewed 4,243 postpartum women in hospital, with a 0.5% refusal rate. Diagnosis of gestational diabetes was self-reported. Prevalence of gestational diabetes was 2.95% (95%CI: 2.53-3.64). Crude analysis using the chi-square test showed a direct association with age, schooling, socioeconomic status, and body mass index (BMI) and an inverse association with maternal height. Non-white color, family history of diabetes mellitus, smoking in the first and second trimesters, and physical activity before the pregnancy and in the first trimester were associated with the outcome. Adjusted hierarchical analysis using logistic regression showed an association with age, non-white color, higher schooling, family history of diabetes, and BMI. Height showed borderline significance. Smoking in the first and second trimesters showed a protective effect.

Consensos de diversos países referem idade, obesidade e história familiar de diabetes mellitus como fatores de risco para diabetes mellitus gestacional. Outros fatores permanecem controversos. O objetivo deste estudo foiinvestigar fatores associados ao diabetes mellitus gestacional entre mães dos recém-nascidos da coorte de nascimentos de Pelotas, Rio Grande do Sul, Brasil, em 2004. Foram entrevistadas 4.243 puérperas no hospital, havendo 0,5% de recusas. O diagnóstico de diabetes mellitus gestacional foi auto-referido. A prevalência de diabetes mellitus gestacional foi 2,95% (IC95%: 2,53-3,64). Análise bruta realizada por meio de testes quiquadrado mostrou associação direta com aumento da idade, escolaridade, nível econômico e índice de massa corporal (IMC) e inversa com altura materna. Cor nãobranca, história familiar de diabetes mellitus, tabagismo no primeiro e segundo trimestres e atividade físicaantes da gestação e no primeiro trimestre mostraramse associados. A análise ajustada hierarquizada realizadaatravés de regressão logística mostrou associação com maior idade, cor não branca, maior escolaridade, história familiar de diabetes mellitus e maior IMC. A altura ficou no limiar da significância. Tabagismo no primeiro e segundo trimestres foi protetor.

Non classical risk factors for gestational diabetes mellitus: a systematic review of the literature / Fatores de risco não clássicos para diabetes mellitus gestacional: uma revisão sistemática da literatura

Age, obesity and family history of diabetes are well known risk factors for gestational diabetes mellitus. Others are more controversial. The objective of this review is to find evidence in the literature that justifies the inclusion of these other conditions among risk factors. The MEDLINE, Cochrane, LILACS and Pan American Health Organization databases were searched, covering articles dating from between 1992 and 2006. Keywords were used in combination (AND) with gestational diabetes mellitus separately and with each one of the risk factors studied. The methodological quality of the studies included was assessed, resulting in the selection of 41 papers. Most studies investigating maternal history of low birth weight, low stature, and low level of physical activity have found positive associations with gestational diabetes mellitus. Low socioeconomic levels, smoking during pregnancy, high parity, belonging to minority groups, and excessive weight gain during pregnancy presented conflicting results. Publication bias cannot be ruled out. Standardization of techniques, cutoff points for screening and diagnosis, as well as studies involving larger sample sizes would allow future meta-analyses.

Idade, obesidade e história familiar de diabetes são fatores de risco bem conhecidos para diabetes mellitus gestacional. Outros são controversos. O objetivo desta revisão é encontrar evidências na literatura que justifiquem a inclusão dessas condições entre os fatores de risco. Bases de dados MEDLINE, Cochrane, LILACS e Organização Pan-Americana da Saúde foram procuradas. A revisão incluiu artigos de 1992 a 2006. Palavras-chave foram usadas em combinação com diabetes mellitus gestacional separadamente e com cada um dos fatores de risco estudados. A qualidade metodológica dos estudos incluídos foi medida, totalizando 41 estudos. A maioria dos trabalhos que investigaram história materna de baixo peso, baixa estatura e baixa atividade física encontrou associação positiva com diabetes mellitus gestacional. Baixo nível sócio-econômico, fumo durante a gestação, alta paridade, pertencer a minorias e excessivo ganho de peso apresentam resultados conflitantes. Padronização de técnicas, pontos de corte para rastreamento e diagnóstico, assim como estudos envolvendo maiores amostras podem permitir futuras metanálises.