<p>Obesity is a major health problem in the Western world. Mean birth weight has increased during the last 25 years. One explanation is that the proportion of large for gestational age (LGA) infants has increased. Such infants risk developing obesity, cardiovascular disease and diabetes later in life. Despite the risk of neonatal hypoglycemia, their postnatal metabolic adaptation has not been investigated. Our data, obtained with stable isotope labeled compounds, demonstrate that newborn LGA infants have increased lipolysis and decreased insulin sensitivity. After administration of glucagon, the plasma levels of glucose and the rate of glucose production increased. The simultaneous increase in insulin correlated with the decrease in lipolysis, indicating an antilipolytic effect of insulin in these infants.</p><p>We also demonstrated an intergenerational effect of being born LGA, since women born LGA, were at higher risk of giving birth to LGA infants than women not born LGA. Further, the LGA infants formed three subgroups: born long only, born heavy only, and born both long and heavy. Infants born LGA of women with high birth weight or adult obesity were at higher risk of being LGA concerning weight alone, predisposing to overweight and obesity at childbearing age. In addition we found that pregnant women with gestational diabetes were at increased risk of giving birth to infants that were heavy alone. This could explain the risk of both perinatal complications and later metabolic disease in infants of this group of women.</p><p>To identify determinants of fetal growth, 20 pregnant women with a wide range of fetal weights were investigated at 36 weeks of gestation. Maternal fat mass was strongly associated with insulin resistance. Insulin resistance was related to glucose production, which correlated positively with fetal size. The variation in resting energy expenditure, which was closely related to fetal weight, was largely explained by BMI, insulin resistance, and glucose production. Lipolysis was not rate limiting for fetal growth in this group of women. Consequently, high maternal glucose production due to a high fat mass may result in excessive fetal growth.</p>

Introdução: Idade gestacional (IG) e peso ao nascer, assim como a frequência de nascimentos PIG (pequeno para idade gestacional), são importantes preditores da morbimortalidade neonatal. Os partos cesáreos têm sido indicados como um dos fatores que tem colaborado para o aumento da prematuridade. Conhecer a distribuição populacional da IG segundo tipo de parto e estabelecer a proporção de nascimentos considerados PIG e seus fatores de risco pode contribuir para o conhecimento do perfil dos nascidos vivos no Município de São Paulo (MSP). Objetivos: Estudar o padrão de distribuição da idade gestacional nos nascimentos ocorridos no MSP; calcular a prevalência de PIG com base em três curvas de crescimento fetal (Alexander, Fenton e Kim e Intergrowth); e investigar os fatores risco para PIG. Metodologia: Estudo transversal com base nos dados do Sistema de Informações sobre Nascidos Vivos (Sinasc). Foram estudados nascimentos hospitalares e de gestações únicas, nos anos de 2013 e 2014, no município de São Paulo. Realizou-se uma análise de distribuição dos nascimentos segundo IG, comparando tipo de parto e de hospital (SUS e não SUS). Para cálculo da prevalência de PIG usou-se a idade gestacional baseada na data da última menstruação (DUM) e as três curvas de crescimento fetal citadas. Foi empregada a regressão multinível para avaliação dos fatores de risco materno, do recém-nascido e socioeconômicos individuais, sendo a variável de contexto a vulnerabilidade do distrito de residência. Resultados: Houve um desvio à esquerda da IG para o total de nascimentos e entre os nascidos na rede não SUS, mais acentuado entre nascimentos por cesárea. A mediana de IG na rede SUS foi 39 semanas e na rede não SUS, 38. A prevalência de PIG variou consideravelmente, sendo 6,4 por cento dos nascimentos utilizando a curva Intergrowth e 12,4 por cento e 12,2 por cento com base nas curvas de Fenton e Kim e Alexander, respectivamente. Maiores prevalências de PIG foram encontradas em extremos de IG, pré-termos e termos tardios. Os fatores de risco para PIG, independente da prematuridade, foram malformação congênita, RN sexo feminino, primiparidade e pré-natal com menos de quatro consultas. Entre os não PT também estiveram associados: mãe adolescente, baixa escolaridade materna, raça/cor negra e gestante usuária do SUS, bem como morar em distrito com alta vulnerabilidade. Recém-nascidos PT estiveram associados com idade materna acima de 35 anos. Conclusão: A diferença na duração da gestação está relacionada ao tipo de hospital em que ocorrem os nascimentos e à alta frequência de cesáreas na rede privada. As prevalências de PIG foram bastante distintas entre as curvas, mostrando que esse indicador deve ser avaliado com cautela, pois alguns RN podem ser erroneamente classificados como PIG. O contexto de vulnerabilidade no MSP esteve associado a nascer PIG de forma discreta. Os fatores de risco individuais explicaram melhor o desfecho e foram diferentes segundo a prematuridade, desvantagens socioeconômicas e foram risco apenas entre não prematuros / Introduction: Gestational age (GA), birth weight and the frequency of small for gestational age (SGA) births are important predictors of neonatal morbidity and mortality. Cesarean section has been indicated as one of the factors that has contributed to the increase of prematurity. The aims of this study were to know the population distribution of GA according to type of delivery and to establish the proportion of births considered SGA and how its risk factors may contribute to the knowledge of the profile of live births in the city of São Paulo (SP). Another important objectives were study the pattern of distribution of gestational age in the births occurred in SP, to assess the prevalence of SGA based on three fetal growth curves (Alexander, Fenton and Kim and Intergrowth) and investigate the risk factors for SGA. Methodology: Cross-sectional study based on data from the Live Birth Information System (Sinasc). We studied hospital births and single pregnancies, in the years of 2013 and 2014, in the city of São Paulo. An analysis of the distribution of births according to GA, comparing type of delivery and hospital (public and private) was performed. Gestational age based on the date of the last menstruation (LMP) and the three fetal growth curves were used to calculate the prevalence of SGA. Multilevel regression was used to assess maternal, newborn and socioeconomic risk factors, with the context variable being the vulnerability of the residence district. Results: There was a shift to the left of the GA for total births and among those born in the private hospitals, more pronounced among cesarean births. The median GA in the public hospitals was 39 weeks and in the privates, 38. The prevalence of SGA varied considerably, with 6.4 per cent of births using the Intergrowth curve and 12.4 per cent and 12.2 per cent based on the curves of Fenton and Kim and Alexander, respectively. Higher prevalences of SGA were found in preterm (PT), and late term extremes. The risk factors for SGA, independent of prematurity, were congenital malformation, female newborn, primiparity and prenatal with less than four visits. Among the non preterms were also associated: adolescent mother, low maternal schooling, race / black color and pregnant user public health service, as well as living in a district with high vulnerability. PT newborns were associated with maternal age above 35 years. Conclusion: The difference in the length of gestation is related to the type of hospital where births occur and the high frequency of cesarean sections in the private hospitals. As SGA prevalences were very different between the curves, showing that this indicator should be evaluated with caution, some items may be erroneously classified as SGA. The context of vulnerability in SP was associated with being born SGA discretely. Individual risk factors better explain the outcome and were different according to a prematurity, socioeconomic disadvantages and were only risk among non preterms

Obesity is a significant health concern for women of childbearing age. More than 40% of women have a Body Mass Index (BMI) in the overweight or obese ranges at the time they conceive, posing significant health risks for both mother and child. Excessive weight gain during pregnancy is common and associated with numerous deleterious complications. The Institute of Medicine published gestational weight gain (GWG) guidelines based on prepregnancy BMI. However, more than 50% of women gain in excess of these recommendations. Further, many women report receiving minimal guidance from their healthcare providers regarding weight gain, nutrition, and physical activity during pregnancy. There is a clear need to enhance patient-provider communication to develop relevant and targeted interventions to reduce excessive GWG. The current study used a mixed-methods approach to assess perspectives of both pregnant and postpartum women, and obstetric healthcare providers (HCPs’). Interviews with pregnant and postpartum women with overweight or obesity prior to pregnancy indicated deference to providers regarding GWG. However, many women indicated suboptimal receipt of GWG information, disagreement with the GWG guidelines, and disapproval of the restrictive weight ranges for women in higher BMI categories. Additionally, parity emerged as a salient topic for women, especially as related to weight retention between pregnancies. HCPs’ survey data suggest systemic barriers to patient-provider communication (e.g. time, training) could serve as targets for future interventions. In sum, maternal overweight and obesity, excessive GWG, and patient-provider interaction are crucial topics to address to improve maternal and fetal outcomes, and decrease healthcare costs.

Obesity is a major health problem in the Western world. Mean birth weight has increased during the last 25 years. One explanation is that the proportion of large for gestational age (LGA) infants has increased. Such infants risk developing obesity, cardiovascular disease and diabetes later in life. Despite the risk of neonatal hypoglycemia, their postnatal metabolic adaptation has not been investigated. Our data, obtained with stable isotope labeled compounds, demonstrate that newborn LGA infants have increased lipolysis and decreased insulin sensitivity. After administration of glucagon, the plasma levels of glucose and the rate of glucose production increased. The simultaneous increase in insulin correlated with the decrease in lipolysis, indicating an antilipolytic effect of insulin in these infants. We also demonstrated an intergenerational effect of being born LGA, since women born LGA, were at higher risk of giving birth to LGA infants than women not born LGA. Further, the LGA infants formed three subgroups: born long only, born heavy only, and born both long and heavy. Infants born LGA of women with high birth weight or adult obesity were at higher risk of being LGA concerning weight alone, predisposing to overweight and obesity at childbearing age. In addition we found that pregnant women with gestational diabetes were at increased risk of giving birth to infants that were heavy alone. This could explain the risk of both perinatal complications and later metabolic disease in infants of this group of women. To identify determinants of fetal growth, 20 pregnant women with a wide range of fetal weights were investigated at 36 weeks of gestation. Maternal fat mass was strongly associated with insulin resistance. Insulin resistance was related to glucose production, which correlated positively with fetal size. The variation in resting energy expenditure, which was closely related to fetal weight, was largely explained by BMI, insulin resistance, and glucose production. Lipolysis was not rate limiting for fetal growth in this group of women. Consequently, high maternal glucose production due to a high fat mass may result in excessive fetal growth.

Vielfältige Studien haben bereits Zusammenhänge zwischen niedrigem Geburtsgewicht und der Entwicklung von Adipositas und eines metabolischen Syndroms im späteren Lebensalter dargestellt. Umfangreiche Daten liegen vor allem für frühgeborene Neonaten vor. Ziel dieser Arbeit ist deshalb die Bewertung perinataler Parameter und der frühen Entwicklung reifer SGA – Neugeborener. Für die vorliegende prospektive Studie wurden 50 Neugeborene mit einem Geburtsgewicht < 10. Perzentile und 50 eutrophe Neugeborene erfasst. Bei allen Kindern wurden anamnestische Befunde zum Schwangerschaftsverlauf, die Biometrie der Eltern sowie Daten zur Geburt und zum stationären Verlauf erfasst. Mit Hilfe eines standardisierten Fragebogens an die niedergelassenen Kinderärzte erfolgte die Nachbeobachtung der Kinder hinsichtlich der Gewichts–, Längen– und Kopfumfangsentwicklung sowie der Ernährung bis zur 15. Lebenswoche. Die Ergebnisse der Studie zeigen, dass nur 13% der SGA – Kinder ein genetisch vermindertes Wachstumspotential haben. Demnach liegt bei der Mehrzahl der SGA – Geborenen ein pathologischer Mechanismus zugrunde. Während der Schwangerschaft waren in der SGA – Gruppe häufiger uterine Perfusionsstörungen bei einem erhöhten Auftreten von Präeklampsien oder Nikotinabusus darstellbar. Die SGA – Kinder wurden häufiger per sectionem geboren und zeigten zu einem erhöhten Anteil Dysmaturitätszeichen als Ausdruck einer intrauterinen Stress– oder Mangelsituation. Aufgrund der perinatalen Risiken sollte die Geburt dieser Kinder in einem Perinatalzentrum erfolgen. In der SGA – Gruppe bestand eine signifikante Korrelation zwischen Gestationsalter und Geburtsgewicht, deshalb ist eine individuelle Abwägung des Geburtszeitpunktes zur Nutzung des noch vorhandenen intrauterinen Wachstumspotentials erforderlich. Kinder der SGA – Gruppe bedurften häufiger einer intensivmedizinischen Betreuung und hatten einen längeren stationären Aufenthalt als Kinder der Vergleichsgruppe; Säurebasenstatus, APGAR – Werte und Blutdruck unterschieden sich nicht. Während des stationären Aufenthaltes wurden die SGA – Neonaten vermehrt zugefüttert und zeigten eine geringere postnatale Gewichtsabnahme. Nach der Entlassung kam es, bezogen auf die Körperlänge, zu einer stärkeren und rascheren Gewichtszunahme bei SGA – Kindern, während die Längendifferenz zunächst bestehen blieb. Ein frühes Aufholwachstum, welches sich in dieser Studie isoliert auf das Gewicht bezieht, ist hinsichtlich späterer metabolischer Störungen als möglicher Risikofaktor zu werten.

Submitted by MARIANA PINTO SIRIMARCO null (mpsirimarco@yahoo.com.br) on 2016-04-08T03:04:00Z No. of bitstreams: 1 VERSÃO FINAL 2 08-04.pdf: 1774461 bytes, checksum: 13e24ee503bed7a9ca8d50a2f58cd2aa (MD5) / Approved for entry into archive by Ana Paula Grisoto (grisotoana@reitoria.unesp.br) on 2016-04-08T16:39:33Z (GMT) No. of bitstreams: 1 sirimarco_mp_me_bot.pdf: 1774461 bytes, checksum: 13e24ee503bed7a9ca8d50a2f58cd2aa (MD5) / Made available in DSpace on 2016-04-08T16:39:33Z (GMT). No. of bitstreams: 1 sirimarco_mp_me_bot.pdf: 1774461 bytes, checksum: 13e24ee503bed7a9ca8d50a2f58cd2aa (MD5) Previous issue date: 2016-02-29 / JUSTIFICATIVA – desde agosto de 2011 o Serviço Especializado de Diabetes e Gravidez da Faculdade de Medicina de Botucatu/Unesp (SEDG-FMB/Unesp) adotou o novo protocolo diagnóstico para o DMG recomendado pela ADA/IADPSG. Entretanto, o Perfil Glicêmico (PG) continuou associado ao TOTG 75g, para diagnosticar a Hiperglicemia Gestacional Leve (HGL), reconhecida e tratada em nosso Serviço como se fosse DMG. A controvérsia sobre o custo-benefício do novo protocolo da ADA/IADPSG e a dúvida sobre a necessidade de manutenção do PG no protocolo do Serviço justificam o presente estudo. OBJETIVOS – avaliar o impacto do novo protocolo da ADA/IADPSG na prevalência de HGL e de DMG, na ocorrência de resultados perinatais adversos (RPNA) e na associação TOTG 75g e PG para diagnóstico de HGL no SEDG-FMB/Unesp. MÉTODO – estudo de corte transversal, incluindo gestantes, e seus recém-nascidos (RN), submetidas aos protocolos diagnósticos e que realizaram pré-natal e parto no Serviço, antes (janeiro de 2008 a 14 de agosto de 2011) e após (15 de agosto de 2011 a dezembro de 2014) à mudança do protocolo, definindo uma amostra por conveniência. Considerando os dois períodos, foram comparadas a prevalência de DMG e de HGL e a ocorrência de RN-GIG, macrossomia, primeira cesárea e tempo de internação dos RN. Na análise estatística foram utilizados análise de Poison e teste t-Student, teste do Qui-quadrado ou Exato de Fischer e cálculo de risco (RR e IC 95%) para os desfechos avaliados. O limite de significância estatística foi de 95% (p < 0,05). RESULTADOS – o NOVO protocolo resultou em aumento no número de mulheres com DMG e deixou de identificar 17,3% do total de gestantes, que mantiveram o diagnóstico de HGL, apesar do TOTG 75g normal. O novo protocolo ADA/IADPSG não influenciou o desfecho perinatal. CONCLUSÕES – esses resultados reforçam a validade da manutenção do PG no protocolo diagnóstico do SEDG-FMB/Unesp. Para concluir sobre o custo-benefício do NOVO protocolo, são necessários grandes estudos, multicêntricos e com tamanho amostral adequado. / BACKGROUND - since August 2011 the Specialized Center of Diabetes and Pregnancy of the Botucatu Medical School / Unesp (SEDG-FMB / Unesp) has adopted a new diagnostic protocol for Gestational Diabetes Mellitus (GDM) recommended by the ADA / IADPSG guidelines. However, the glycemic profile (GP) remained associated with the 75g OGTT to diagnose Mild Gestational Hyperglycemia Lite (MGH), recognized and treated in our department as if it were GDM. The controversy over the cost-effectiveness of the new ADA / IADPSG guideline and doubt about the need for GP maintenance in the service protocol justify this study. OBJECTIVES - To assess the impact of the new ADA / IADPSG guideline in the prevalence of MGH and GDM, in the incidence of adverse perinatal outcomes (APNO) and in the association 75g OGTT and PG for diagnosis of MGH at the SEDG-FMB / Unesp. METHOD - cross-sectional study, including pregnant women and their newborns (NB) that underwent diagnostic protocols and had their prenatal care and delivery at the service before (January 2008 to August 14, 2011) and after (15 August 2011 to December 2014) the protocol modification, defining a convenience sample. Considering the two periods, the prevalence of GDM and MGH and the occurrence of LGA-NB, macrosomia, first cesarean delivery and NB hospital stay were compared. For statistical analysis, Poison analysis and Student's t test, chi-square or Fisher's exact test were used and risk estimate (RR and 95% CI) for the assessed outcomes. The statistical significance threshold was 95% (p <0.05). RESULTS - The new protocol resulted in a increase in the number of women with GDM, but failed to identify 17.3% of pregnant women who maintained the diagnosis of MGH, despite normal 75g OGTT. The new ADA / IADPSG guideline did not influence the perinatal outcome. CONCLUSIONS - These results reinforce the validity of maintaining the GP in the diagnosis protocol at the SEDG-FMB / Unesp. To conclude on the cost-effective of the new protocol, large multicenter studies with adequate sample size are required

Introdução: Idade gestacional (IG) e peso ao nascer, assim como a frequência de nascimentos PIG (pequeno para idade gestacional), são importantes preditores da morbimortalidade neonatal. Os partos cesáreos têm sido indicados como um dos fatores que tem colaborado para o aumento da prematuridade. Conhecer a distribuição populacional da IG segundo tipo de parto e estabelecer a proporção de nascimentos considerados PIG e seus fatores de risco pode contribuir para o conhecimento do perfil dos nascidos vivos no Município de São Paulo (MSP). Objetivos: Estudar o padrão de distribuição da idade gestacional nos nascimentos ocorridos no MSP; calcular a prevalência de PIG com base em três curvas de crescimento fetal (Alexander, Fenton e Kim e Intergrowth); e investigar os fatores risco para PIG. Metodologia: Estudo transversal com base nos dados do Sistema de Informações sobre Nascidos Vivos (Sinasc). Foram estudados nascimentos hospitalares e de gestações únicas, nos anos de 2013 e 2014, no município de São Paulo. Realizou-se uma análise de distribuição dos nascimentos segundo IG, comparando tipo de parto e de hospital (SUS e não SUS). Para cálculo da prevalência de PIG usou-se a idade gestacional baseada na data da última menstruação (DUM) e as três curvas de crescimento fetal citadas. Foi empregada a regressão multinível para avaliação dos fatores de risco materno, do recém-nascido e socioeconômicos individuais, sendo a variável de contexto a vulnerabilidade do distrito de residência. Resultados: Houve um desvio à esquerda da IG para o total de nascimentos e entre os nascidos na rede não SUS, mais acentuado entre nascimentos por cesárea. A mediana de IG na rede SUS foi 39 semanas e na rede não SUS, 38. A prevalência de PIG variou consideravelmente, sendo 6,4 por cento dos nascimentos utilizando a curva Intergrowth e 12,4 por cento e 12,2 por cento com base nas curvas de Fenton e Kim e Alexander, respectivamente. Maiores prevalências de PIG foram encontradas em extremos de IG, pré-termos e termos tardios. Os fatores de risco para PIG, independente da prematuridade, foram malformação congênita, RN sexo feminino, primiparidade e pré-natal com menos de quatro consultas. Entre os não PT também estiveram associados: mãe adolescente, baixa escolaridade materna, raça/cor negra e gestante usuária do SUS, bem como morar em distrito com alta vulnerabilidade. Recém-nascidos PT estiveram associados com idade materna acima de 35 anos. Conclusão: A diferença na duração da gestação está relacionada ao tipo de hospital em que ocorrem os nascimentos e à alta frequência de cesáreas na rede privada. As prevalências de PIG foram bastante distintas entre as curvas, mostrando que esse indicador deve ser avaliado com cautela, pois alguns RN podem ser erroneamente classificados como PIG. O contexto de vulnerabilidade no MSP esteve associado a nascer PIG de forma discreta. Os fatores de risco individuais explicaram melhor o desfecho e foram diferentes segundo a prematuridade, desvantagens socioeconômicas e foram risco apenas entre não prematuros / Introduction: Gestational age (GA), birth weight and the frequency of small for gestational age (SGA) births are important predictors of neonatal morbidity and mortality. Cesarean section has been indicated as one of the factors that has contributed to the increase of prematurity. The aims of this study were to know the population distribution of GA according to type of delivery and to establish the proportion of births considered SGA and how its risk factors may contribute to the knowledge of the profile of live births in the city of São Paulo (SP). Another important objectives were study the pattern of distribution of gestational age in the births occurred in SP, to assess the prevalence of SGA based on three fetal growth curves (Alexander, Fenton and Kim and Intergrowth) and investigate the risk factors for SGA. Methodology: Cross-sectional study based on data from the Live Birth Information System (Sinasc). We studied hospital births and single pregnancies, in the years of 2013 and 2014, in the city of São Paulo. An analysis of the distribution of births according to GA, comparing type of delivery and hospital (public and private) was performed. Gestational age based on the date of the last menstruation (LMP) and the three fetal growth curves were used to calculate the prevalence of SGA. Multilevel regression was used to assess maternal, newborn and socioeconomic risk factors, with the context variable being the vulnerability of the residence district. Results: There was a shift to the left of the GA for total births and among those born in the private hospitals, more pronounced among cesarean births. The median GA in the public hospitals was 39 weeks and in the privates, 38. The prevalence of SGA varied considerably, with 6.4 per cent of births using the Intergrowth curve and 12.4 per cent and 12.2 per cent based on the curves of Fenton and Kim and Alexander, respectively. Higher prevalences of SGA were found in preterm (PT), and late term extremes. The risk factors for SGA, independent of prematurity, were congenital malformation, female newborn, primiparity and prenatal with less than four visits. Among the non preterms were also associated: adolescent mother, low maternal schooling, race / black color and pregnant user public health service, as well as living in a district with high vulnerability. PT newborns were associated with maternal age above 35 years. Conclusion: The difference in the length of gestation is related to the type of hospital where births occur and the high frequency of cesarean sections in the private hospitals. As SGA prevalences were very different between the curves, showing that this indicator should be evaluated with caution, some items may be erroneously classified as SGA. The context of vulnerability in SP was associated with being born SGA discretely. Individual risk factors better explain the outcome and were different according to a prematurity, socioeconomic disadvantages and were only risk among non preterms

Vielfältige Studien haben bereits Zusammenhänge zwischen niedrigem Geburtsgewicht und der Entwicklung von Adipositas und eines metabolischen Syndroms im späteren Lebensalter dargestellt. Umfangreiche Daten liegen vor allem für frühgeborene Neonaten vor. Ziel dieser Arbeit ist deshalb die Bewertung perinataler Parameter und der frühen Entwicklung reifer SGA – Neugeborener. Für die vorliegende prospektive Studie wurden 50 Neugeborene mit einem Geburtsgewicht < 10. Perzentile und 50 eutrophe Neugeborene erfasst. Bei allen Kindern wurden anamnestische Befunde zum Schwangerschaftsverlauf, die Biometrie der Eltern sowie Daten zur Geburt und zum stationären Verlauf erfasst. Mit Hilfe eines standardisierten Fragebogens an die niedergelassenen Kinderärzte erfolgte die Nachbeobachtung der Kinder hinsichtlich der Gewichts–, Längen– und Kopfumfangsentwicklung sowie der Ernährung bis zur 15. Lebenswoche. Die Ergebnisse der Studie zeigen, dass nur 13% der SGA – Kinder ein genetisch vermindertes Wachstumspotential haben. Demnach liegt bei der Mehrzahl der SGA – Geborenen ein pathologischer Mechanismus zugrunde. Während der Schwangerschaft waren in der SGA – Gruppe häufiger uterine Perfusionsstörungen bei einem erhöhten Auftreten von Präeklampsien oder Nikotinabusus darstellbar. Die SGA – Kinder wurden häufiger per sectionem geboren und zeigten zu einem erhöhten Anteil Dysmaturitätszeichen als Ausdruck einer intrauterinen Stress– oder Mangelsituation. Aufgrund der perinatalen Risiken sollte die Geburt dieser Kinder in einem Perinatalzentrum erfolgen. In der SGA – Gruppe bestand eine signifikante Korrelation zwischen Gestationsalter und Geburtsgewicht, deshalb ist eine individuelle Abwägung des Geburtszeitpunktes zur Nutzung des noch vorhandenen intrauterinen Wachstumspotentials erforderlich. Kinder der SGA – Gruppe bedurften häufiger einer intensivmedizinischen Betreuung und hatten einen längeren stationären Aufenthalt als Kinder der Vergleichsgruppe; Säurebasenstatus, APGAR – Werte und Blutdruck unterschieden sich nicht. Während des stationären Aufenthaltes wurden die SGA – Neonaten vermehrt zugefüttert und zeigten eine geringere postnatale Gewichtsabnahme. Nach der Entlassung kam es, bezogen auf die Körperlänge, zu einer stärkeren und rascheren Gewichtszunahme bei SGA – Kindern, während die Längendifferenz zunächst bestehen blieb. Ein frühes Aufholwachstum, welches sich in dieser Studie isoliert auf das Gewicht bezieht, ist hinsichtlich späterer metabolischer Störungen als möglicher Risikofaktor zu werten.

Background: Although lifestyle modification is the cornerstone of GDM management, the evidence base on which dietary recommendations to prevent GDM is diverse and has not been synthesized in a consistent fashion. Objectives: The overall objective of this thesis is to assess the relationship of diet patterns, foods, and nutrients with GDM risk. Specifically, we seek to: 1) Quantify the relationship between dietary factors and GDM and metabolic disorders of pregnancy; 2) Compare the effects of dietary factors on markers of glycemic control, such as fasting glucose, fasting insulin, HbA1c, and the homeostatic model assessment for insulin resistance (HOMA-IR); 3) Assess the association and interaction between carbohydrate quality, and genetic load on the risk of developing GDM using data from 2 prospective birth cohort studies. Methods: We follow the approach set by the Cochrane Group’s Handbook for Systematic Review of Interventions to conduct meta-analyses and assess the quality of the evidence using the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) approach. We analyze prospective cohort data of 2,504 women from the CHILD and START studies, which enrolled women of White-Caucasian and South Asian ethnicity. We quantify carbohydrate quality by deriving the glycemic index and load (GL), and total and added sugar intake. We construct a gene score using 102 loci that were previously associated with type 2 diabetes in genome-wide association studies. Results: 1) The meta-analysis identified high-quality evidence that red meat increases GDM risk; however, most associations of foods and nutrients with GDM and other metabolic disorders of pregnancy are of low-quality; 2) The network meta-analysis identified that most dietary interventions given with gestational weight gain advice will lower fasting glucose; 3) In South Asians, a high GL coupled with a high genetic load increased GDM risk six fold, but a high total sugar intake in the presence of a high genetic load reduced GDM risk. This paradoxical finding may be explained by a high correlation between total sugars and other healthy foods. Conclusions: Few valid associations between dietary factors and GDM risk exist. GL and total sugars may modify the genetic risk of GDM in South Asians but not in White-Caucasians. Further research is needed to determine effective interventions that can assist women in adopting healthier eating habits during pregnancy. / Thesis / Doctor of Philosophy (PhD) / Gestational diabetes mellitus (GDM) is glucose intolerance that first appears during pregnancy. Although lifestyle modification is the cornerstone of GDM management, dietary recommendations for GDM prevention are sparse. The overarching objective of this thesis is to describe the relationships between diets, foods, and nutrients and GDM and metabolic disorders of pregnancy and to understand whether carbohydrate quality can modify a genetic predisposition to diabetes. In the systematic literature reviews, high-quality evidence showed that red meat increases GDM risk. Moderate-quality evidence showed that several dietary factors also influence the risk of GDM and metabolic disorders of pregnancy, but most of the existing evidence is of low-quality. More high-quality studies are needed before dietary interventions can be implemented In our genetic study, we observed that carbohydrate quality may modify the genetic risk of diabetes in South Asians but not in White-Caucasians and conclude that carbohydrate quality may provide only a limited assessment of overall diet quality.

Objectif : Établir le profil psychosocial des femmes enceintes de l'Estrie et évaluer de façon préliminaire si ce profil diffère parmi les grossesses avec issues défavorables. Méthode. Cohorte prospective de 120 femmes enceintes, rencontrées à deux reprises (10-20 et 25-30 semaines), entre août 2004 et mars 2006. Il s'agit d'un questionnaire auto-administré des données démographiques, anthropométriques, des facteurs de risques biomédicaux, ainsi qu'un profil psychosocial comportant 6 dimensions: stress psychologique perçu, ennuis quotidiens, détresse psychologique, locus de contrôle, soutien social, traumatismes dans l'enfance. Les paramètres psychosociaux sont présentés en moyennes ou pourcentages. Le profil psychosocial est comparé entre les grossesses normales et anormales avec les tests t de Student ou le test de Mann Whitney, lorsque approprié. Résultats. Trente trois grossesses (27,5%) ont présenté des issues défavorables (prématurité, restriction de croissance intra-utérine, hypertension gestationnelle, diabète gestationnel). L'analyse du profil psychosocial révèle un score de stress psychologique perçu plus élevé entre 10-20 semaines chez les femmes avec issues défavorables de grossesse (score : 34,2 « 12,3 ; P < 0,01) et chez les femmes avec prématurité (score : 36,1 « 11,2 ; P < 0,02) comparativement à celui des femmes avec grossesses normales (score : 28,6 « 9,6). Par ailleurs, les 5 autres dimensions ne semblaient pas différentes selon les issues de grossesse. Conclusion. Ces résultats préliminaires suggèrent une piste possible reliant la perception de stress maternel durant la grossesse et certaines issues défavorables de grossesse, dont l'accouchement prématuré.