Sintomas depressivos, ansiedade e os sintomas estressantes durante a gravidez afetam o ganho de peso gestacional? / Do depressive symptoms, anxiety and stressful symptoms during pregnancy affect gestational weight gain?

Resumo O objetivo deste artigo é estimar os efeitos dos sintomas de transtornos mentais na gravidez (sintomas depressivos, ansiedade e estresse) no ganho de peso gestacional. Estudo longitudinal, realizado com dados da Coorte de nascimento BRISA, iniciada em 2010 em São Luís, Maranhão. O ganho de peso gestacional foi classificado de acordo com Institute of Medicine. A variável independente foi um construto (variável latente) nomeado de sintomas de transtornos mentais, englobando as variáveis sintomas depressivos, a ansiedade e os sintomas estressantes (todas de forma contínua). Utilizou-se modelagem de equações estruturais, a fim de investigar a associação entre a saúde mental e ganho de peso. Em relação a associação entre sintomas de transtornos mentais e ganho de peso na gestação, não se encontrou efeito total (CP=0,043; p=0,377). Em relação aos efeitos indiretos, também não se encontrou efeito através dos comportamentos de risco (CP=0,03; p=0,368) e através da atividade física (CP=0,00; p=0,974). Finalmente os dados não evidenciaram efeito direto dos sintomas de transtornos mentais durante a gravidez como o ganho de peso gestacional (CP=0,050; p=0,404). O ganho de peso gestacional não apresentou efeito direto, indireto e total nos sintomas de transtornos mentais de gestantes.

Abstract The scope of this article is to estimate the effects of symptoms of mental disorders during pregnancy (depressive symptoms, anxiety and stress) on gestational weight gain (kg). It is a longitudinal study, carried out with data from the BRISA Birth Cohort, which was launched in 2010 in São Luís, Maranhão. Gestational weight gain was classified according to the Institute of Medicine. The independent variable was a construct (latent variable) referred to as symptoms of mental disorders, made up of the depressive symptoms, anxiety and stressful symptoms variables (all on an ongoing basis). Structural equation modeling was used to investigate the association between mental health and weight gain. Regarding the association between symptoms of mental disorders and weight gain during pregnancy, no total effect was found (PC=0.043; p=0.377). Regarding indirect effects, no effect was found either through risk behaviors (PC=0.03; p=0.368) or through physical activity (PC=0.00; p=0.974). Finally, the data did not show a direct effect of symptoms of mental disorders during pregnancy such as gestational weight gain (PC=0.050; p=0.404). Gestational weight gain had no direct, indirect or total effect on symptoms of mental disorders in pregnant women.

Parental body mass index and maternal gestational weight gain associations with offspring body composition in young women from the Nutritionists' Health Study

ABSTRACT Objective: Intrauterine environment can induce fetal metabolic programming that predisposes to adiposity-related chronic diseases in its lifespan. We examined the associations of parental nutritional status and gestational weight gain with offspring body composition in early adulthood. Materials and methods: This is cross-sectional analysis of female participants of the NutriHS who were submitted to questionnaires, clinical examinations and body composition assessed by DXA. Association of pre-conception parental BMI and maternal gestational weight gain (exposures) with body composition measurements (outcomes) were analyzed using multiple linear models adjusted for Directed Acyclic Graphs-based covariables (maternal and paternal educational level, maternal age, and tobacco, alcohol and/or drugs use). The sample included 124 women (median 28 (24-31) years) with a mean BMI of 25.4 ± 4.7 kg/m2. Results: No association between previous paternal BMI and offspring's body composition was detected. In the fully adjusted linear regression model, maternal BMI was associated with offspring's total lean mass (β = 0.66, p = 0.001), appendicular skeletal muscle mass index (ASMI) (β = 0.11, p = 0.003) and fat mass index (FMI) (β = 0.03, p = 0.039). Gestational weight gain was associated with increased offspring's BMI (OR 1.12 [95% CI 1.02-1.20], p = 0.01). The linear regression model adjusted for maternal age and maternal and paternal education levels showed associations of gestational weight gain with offspring's ASMI (β = 0.42, p = 0.046), FMI (β = 0.22, p = 0.005) and android-to-gynoid fat ratio (β = 0.09, p = 0.035). Conclusion: Our findings suggest that preconception maternal BMI could influence lean mass and general adiposity of young adult female offspring and that gestational weight gain could be useful for predicting centrally distributed adiposity.

Environmental factors associated with excessive gestational weight gain: a meta-analysis and systematic review / Fatores ambientais associados ao ganho de peso gestacional excessivo: uma meta-análise e revisão sistemática

Abstract The aim is, systematically examine the scientific evidences that associated environmental factors (environment, social environment, environmental planning and spatial population distribution) with the excessive gestational weight gain. A meta-analysis and systematic review carried out as per the Cochrane Handbook recommendations and following the steps recommended by the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes. The inclusion studies were done with the following PECO criteria: P-pregnant women, E-environmental factors, O-weight gain. The search procedure was conducted on the databases EMBASE, Web of Science, Cinahl, LILACS and MEDLINE (PubMed). The relationship between the socioeconomic factors of the micro-region of residence and gestational weight gain was evidenced by the linkage between residing in high-poverty neighborhoods and inadequate gestational weight gain. This study revealed the higher prevalence of excessive gestational weight gain in pregnant women those lives in urban areas. Environmental factors of the pregnant women's residence area implicated in the excessive gestational weight gain. Our findings can therefore contribute to the development of public policies to prevent inadequate gestational weight gain.

Resumo O objetivo é examinar sistematicamente as evidências científicas que associam fatores ambientais (meio ambiente, meio ambiente social, planejamento ambiental e distribuição espacial da população) com o excessivo ganho de peso gestacional. Trata-se de uma revisão sistemática e meta-análise realizada seguindo os passos recomendados pelo Preferred Reporting Items for Systematic Reviews and Meta-Analyzes. Os estudos de incluídos basearam-se nos seguintes critérios PECO: P-gestantes, E-fatores ambientais, O-ganho de peso gestacional. O procedimento de pesquisa foi conduzido nas bases de dados EMBASE, Web of Science, Cinahl, LILACS e MEDLINE (PubMed). A relação entre os fatores socioeconômicos da microrregião de residência e o ganho de peso gestacional foi evidenciada pela ligação entre a residência em bairros de alta pobreza e o ganho de peso gestacional inadequado. Este estudo revelou a maior prevalência de ganho de peso gestacional excessivo em gestantes que vivem em áreas urbanas. Fatores ambientais da área de residência das gestantes implicados no ganho de peso gestacional excessivo. As descobertas desse estudo podem, portanto, contribuir para o desenvolvimento de políticas públicas para evitar o ganho de peso gestacional inadequado.

Impacts of pre-pregnancy body mass index, gestational diabetes mellitus and gestational weight gain on perinatal outcomes and mode of delivery / 中国新生儿科杂志

Objective:To study the impacts of pre-pregnancy body mass index (BMI), gestational diabetes mellitus (GDM) and gestational weight gain (GWG) on perinatal outcomes and mode of delivery.Methods:From November 2016 to December 2017, single-pregnancy women in early pregnancy (<13 weeks) regularly checked-up at our hospital were enrolled in this prospective cohort study and followed up until delivery. They were assigned into four groups according to pre-pregnancy BMI: obese group (≥28.0 kg/m 2), overweight group(24.0-<28.0 kg/m 2), normal group (18.5-<24.0 kg/m 2) and underweight group(<18.5 kg/m 2). A 75-g oral glucose tolerance test was performed at 24-28 weeks of pregnancy to screen for GDM. The optimal GWG was 11.0-16.0 kg for underweight group, 8.0-14.0 kg for normal group, 7.0-11.0 kg for overweight group and 5.0-9.0 kg for obesity group. The effects of pre-pregnancy BMI, GDM and GWG on perinatal outcomes and delivery mode were evaluated using multivariate logistic regression methods. Results:A total of 802 pregnant women were included. The incidences of pre-pregnancy overweight and obesity were 21.8% and 8.9%, respectively. The incidence of GDM was 14.1%. 57.2% of the participants experienced excessive GWG. The incidences of macrosomia, low birth weight and premature birth were 7.1%, 2.7% and 2.2%, respectively. The incidence of Cesarean delivery (C-section) was 37.7%. Pre-pregnancy obesity [adjusted odds ratio ( AOR)=4.355, 95% confidence interval ( CI) 1.900-9.980] and excessive GWG ( AOR=3.799, 95% CI 1.796-8.034) were independent risk factors for macrosomia. Excessive GWG was a protective factor for low birth weight ( AOR=0.279, 95% CI 0.084-0.928) and inadequate GWG was a risk factor for low birth weight ( AOR=10.954, 95% CI 3.594-33.382) and premature birth ( AOR=8.796, 95% CI 2.628-29.438). Compared with the normal group, overweight group had an increased risk of C-section ( AOR=1.817, 95% CI 1.119-2.949). Compared with pregnant women without pre-pregnancy overweight/obesity, GDM nor excessive GWG, any combination of two of the above-mentioned three factors increased the risks of macrosomia ( AOR=3.908, 95% CI 1.630-9.370) and C-section ( AOR=2.269, 95% CI 1.325-3.886). The risks of macrosomia and C-section were the highest when all three factors existed. Conclusions:Pre-pregnancy obesity and excessive GWG are independent risk factors for macrosomia and pre-pregnancy overweight is a risk factor of C-section. Exposure to any two of the three factors (pre-pregnancy overweight/obesity, GDM and excessive GWG) increases risks of macrosomia and C-section and the highest risk is observed when all three factors are present.

Fatores associados ao ganho de peso gestacional acima do recomendado: revisão sistemática / Factors associated with gestational weight gain above recommended: systematic review / Factores asociados con el aumento de peso gestacional arriba recomendado: revisión sistemática

Objetivo: estimar os fatores que estão relacionados ao ganho de peso gestacional acima do recomendado. Método: a busca foi realizada em maio de 2021 nas bases de dados: LILACS, PubMed e COCHRANE, com os descritores: "Pregnant women"; "Gestational weight gain"; "Pregnancy"; "Gestation"; "Risk Factors"; "Socioeconomic Factors". O protocolo do estudo foi registrado na PROSPERO sob o nº CRD42021258655. A seleção dos artigos foi realizada com foco na pergunta norteadora "Quais fatores estão associados ao ganho de peso gestacional acima do recomendado?". Artigos selecionados foram analisados pelos sistemas "JBI Critical Appraisal Checklist" e Grading of Recommendations Assessment, Development and Evaluation. Resultados: foram selecionados 15 artigos. Os fatores mais prevalentes, foram: peso pré-gestacional, uso de tabaco, paridade e renda familiar. Conclusão: estimar esses fatores contribui para a obtenção de um melhor período gestacional, parto e período pós-parto.

Objective: to estimate the factors that are related to gestational weight gain above the recommended level. Method: the search was carried out in May 2021 in the following databases: LILACS, PubMed and COCHRANE, with the descriptors: "Pregnant women"; "Gestational weight gain"; "Pregnancy"; "Gestation"; "Risk Factors"; "Socioeconomic Factors". The study protocol was registered at PROSPERO under number CRD42021258655. The selection of articles was carried out with a focus on the guiding question "Which factors are associated with gestational weight gain above the recommended?". Selected articles were analyzed using the "JBI Critical Appraisal Checklist" and "Grading of Recommendations Assessment, Development and Evaluation" systems. Results: 15 articles were selected. The most prevalent factors were: pre-pregnancy weight, tobacco use, parity and family income. Conclusion:estimating these factors contributes to obtaining a better gestational period, childbirth and postpartum period.

Objetivo: estimar los factores que se relacionan con el aumento de peso gestacional por encima del nivel recomendado. Método:la búsqueda se realizó en mayo de 2021 en las siguientes bases de datos: LILACS, PubMed y COCHRANE, con los descriptores: "Mujeres embarazadas"; "Aumento de peso gestacional"; "El embarazo"; "Gestación"; "Factores de riesgo"; "Factores socioeconómicos". El protocolo del estudio fue registrado en PROSPERO con el número CRD42021258655. La selección de artículos se realizó con un enfoque en la pregunta orientadora "¿Qué factores se asocian con un aumento de peso gestacional superior al recomendado?". Los artículos seleccionados se analizaron mediante los sistemas "JBI Critical Appraisal Checklist" y "Grading of Recomendaciones Assessment, Development and Evaluation". Resultados: se seleccionaron 15 artículos. Los factores más prevalentes fueron: peso previo al embarazo, tabaquismo, paridad e ingresos familiares Conclusión: estimar estos factores contribuye a obtener un mejor período gestacional, parto y puerperio.

Effects of excessive weight gain during pregnancy on offspring health: a review / 预防医学

@#Excessive gestational weight gain has already become a global clinical and public health problem that seriously affects maternal health. Excessive gestational weight gain not only increases the cesarean section rate and induces adverse pregnant outcomes, but also affects offspring development and health. This article reviews the effects of excessive weight gain during pregnancy on offspring health and its underlying mechanisms. Excessive gestational weight gain may increase the risk of obesity, cardiovascular diseases, infectious diseases of the respiratory tract, diabetes, polycystic ovary syndrome, mental or psychological illness among offspring, and the pathophysiological mechanisms include inflammatory response, intestinal flora dysbiosis and epigenetics theory. However, further studies are required to validate these hypotheses and to evaluate the effect of excessive weight gain at different gestational stages on offspring health, so as to provide insights into reasonable management of weight gain during pregnancy and improvements of offspring health.

Weekly gestational weight gain in women with obesity and its association with risk of macrosomia / 中华围产医学杂志

Objective:To explore the characteristics of weekly gestational weight gain (GWG) in women with obesity and its correlation with the risk of macrosomia.Methods:Clinical data of women with singleton pregnancy and pre-pregnancy body mass index (PPBMI) ≥28 kg/m 2 were retrospectively analyzed, from January 2014 to December 2019, in Beijing Obstetrics and Gynecology Hospital, Capital Medical University (Beijing Maternal and Child Health Care Hospital). The participants were divided into three groups based on their PPBMI: group A (28-<30 kg/m 2), group B (30-<32 kg/m 2), and group C (≥32 kg/m 2). The study compared the characteristics of GWG among the three groups, explored the correlation between the weekly weight gain during each gestational stage and the risk of macrosomia, and discussed the impacts of the GWG pattern in women with different PPBMI on the risk of macrosomia. Chi-square (or Fisher's exact), Kruskal-Wallis, and Mann-Whitney U tests were performed for statistical analysis. Multivariate logistic regression was used to analyze the impact of weekly weight gain in specific gestational stages on macrosomia. Results:(1) A total of 2 046 participants were included in the study, with 982 in group A, 588 in group B, and 476 in group C. For all of the 2 046 cases, the median PPBMI was 30.1 kg/m 2 (29.0-31.9 kg/m 2), GWG was 10.5 kg (7.3-14.0 kg), and neonatal birth weight was 3 520 g (3 215-3 816 g) with 60 (2.9%) ≥4 500 g, and the biggest baby weighed 5 580 g. Out of the births analyzed, macrosomia occurred in 318 cases (15.5%). (2) Among the three groups (A, B and C), the differences in maternal age [32.0 years (29.0-35.0 years), 32.0 years (29.0-35.0 years) and 32.0 years (29.0-34.0 years), H=6.58] and women with a history of type 2 diabetes mellitus [0.9% (9/982), 0.3% (2/588) and 1.9% (9/476), χ2=6.61] were statistically significant (all P<0.05). (3) The weekly weight gain in each group exhibited a gradual upward trend before 20-24 weeks, reached a plateau at 24-32 weeks, peaked at 32-36 weeks, and subsequently declined. The weekly weight gain of group A in the pre-pregnancy to 14 weeks [0.14 kg/week (0.00-0.25 kg/week)], 14 to 20 weeks [0.25 kg/week (0.17-0.42 kg/week)], and 20 to 24 weeks [0.38 kg/week (0.25-0.63 kg/week)] were higher than those of group B [0.07 kg/week (－0.03-0.21 kg/week), 0.25 kg/week (0.10-0.42 kg/week), and 0.38 kg/week (0.22-0.60 kg/week)], respectively ( Z value was－3.73,－2.16, and－2.01, all P<0.05). Likewise, the weekly weight gain of group B in the above three stages were all higher than those of group C [0.07 kg/week (－0.10-0.21 kg/week), 0.17 kg/week (0.05-0.33 kg/week), and 0.25 kg/week (0.08-0.50 kg/week)], respectively ( Z value was－2.55,－3.28, and－3.25, all P<0.05). (4) The risk of macrosomia increased with the weekly weight gain in specific gestational stages in different PPBMI groups. In group A, the stages correlated with increased risk were 14-20 weeks [adjusted odd ratio ( aOR)=2.669, 95% CI: 1.378-5.169] and 20-24 weeks ( aOR=1.764, 95% CI: 1.143-2.723), while the stages were 20-24 weeks ( aOR=2.149, 95% CI: 1.156-3.996) and 36 weeks until delivery ( aOR=1.888, 95% CI: 1.268-2.810) in group B, and pre-pregnancy to 14 weeks ( aOR=3.515, 95% CI: 1.158-10.665) and 14-20 weeks ( aOR=3.021, 95% CI: 1.058-8.628) in group C (all P<0.05). The risk of macrosomia increased when the weekly weight gain of both risk-related stages in group A ( aOR=2.255, 95% CI: 1.029-4.940) ≥50th percentile, and group B ( aOR=4.399, 95% CI: 1.017-19.023) ≥75th percentile, and for group C ( aOR=3.404, 95% CI: 1.004-11.543) when the weekly weight gain above 25th percentile (all P<0.05). Conclusions:Weekly GWG demonstrates an observable gradual acceleration pattern in women with obesity. Therefore, clinical attention should be directed towards monitoring fluctuations in the weekly weight gain in this population, as excessive weekly weight gain before 24 gestational weeks is associated with an elevated risk of macrosomia.

Factors affecting excessive weight gain during pregnancy / 预防医学

Objective@#To investigate the current prevalence of excessive weight gain during pregnancy among pregnant and lying-in women in Xining City and to identify the influencing factors, so as to provide insights into reasonable weight control during pregnancy.@*Methods@#The pregnant and lying-in women who were registered and delivered in the Red Cross Hospital of Qinghai Province, the Affiliated Hospital of Qinghai University and the First People's Hospital of Xining City from August 2021 to July 2022 were enrolled. Women's demographics, health status during pregnancy, diet, sleep and exercise were collected through prenatal testing data and questionnaires. Excessive weight gain during pregnancy was identified according to "Weight monitoring and evaluation during pregnancy of Chinese Women" (T/CNSS 009-2021), and the factors affecting excessive weight gain during pregnancy were identified using a multivariable logistic regression model.@*Results@#A total of 902 questionnaires were allocated and 882 valid questionnaires were recovered, with an effective recovery rate of 97.78%. The pregnant and lying-in women had a mean age of (29.06±4.16) years, mean pregestational body mass index of (20.44±2.20) kg/m2 and mean gestational weight gain of (14.17±3.11) kg, and there were 447 primiparas (50.68%) and 360 women with excessive weight gain during pregnancy (40.82%). Multivariable logistic regression analysis identified an educational level of senior high school/technical secondary school (OR=1.400, 95%CI: 1.037-1.889), annual household income of >200 000 Yuan (OR=2.385, 95%CI: 1.924-2.956), a family history of diabetes (OR=1.475, 95%CI: 1.180-1.844), pregestational overweight/obesity (OR=4.079, 95%CI: 2.471-6.734), gestational hypertension (OR=2.061, 95%CI: 1.027-4.136), anxiety (OR=1.315, 95%CI: 1.139-1.518) and preference for sour foods (OR=1.715, 95%CI: 1.237-2.376) as risk factors for excessive weight gain during pregnancy, and early pregnancy reaction as a protective factor (OR=0.636, 95%CI: 0.546-0.742).@*Conclusions @#The prevalence of excessive weight gain during pregnancy was high in Xining City, and educational level, annual household income, family history of diabetes, pregestational body mass index, pregnant complications and dietary habits are factors affecting excessive weight gain during pregnancy.

Malnutrición por exceso en niños de 5 a 10 años y su asociación con el estado nutricional pre y gestacional, lactancia materna y patología materna

La malnutrición por exceso es un problema de salud pública relevante, con origen multifactorial y factores asociados como el estado nutricional pregestacional (ENP), durante y post gestación, ganancia excesiva de peso (EGP) gestacional y duración de la lactancia materna. El objetivo del estudio fue evaluar la malnutrición por exceso en niños de 5 a 10 años y su asociación con el estado nutricional pre y gestacional, lactancia materna exclusiva (LME) y patologías maternas. Se realizó un estudio con 213 niños y niñas estudiantes de 5 a 10 años. Los datos biosociodemográficos se obtuvieron mediante entrevistas con las madres y datos maternos previos y el embarazo con el carné de control. El estimó estado nutricional se estimó con z-score del peso para la talla e IMC/E, según sexo. Para los análisis estadísticos se usó el software STATA 15.0. El 56% de los estudiantes tuvo malnutrición por exceso. Un 53,1% de las madres presentó malnutrición por exceso previo al embarazo que aumentó a 74,6% post gestación. El 71,4% de los niños tuvo una LME ≥6 meses. Se relacionó estadísticamente la edad materna ≥35 años (p= 0,044) y la malnutrición por exceso pregestacional (p= 0,014). La edad materna ≥35 años aumentó el riesgo de malnutrición por exceso casi dos veces (OR= 1,78; IC: 1,029-3,046), al igual que el ENP (OR= 2,11; IC: 1,193-3,693) y en patologías maternas (OR= 1,41; IC: 1, 073-2,694). En conclusión, los niños preescolares de 5 a 10 años con factores de edad materna ≥35, ENP y patologías maternas tuvieron entre 1,4 y 2,11 veces más riesgo de presentar malnutrición por exceso comparado con aquellos niños sin estos factores.

Overnutrition is a relevant public health problem with a multifactorial origin. Associated factors include maternal nutritional status before, during, and after gestation, excessive gestational weight gain, and breastfeeding duration. The objective of the study was to evaluate the association between overnutrition in children aged 5-10 years and pre- and gestational nutritional status, exclusive breastfeeding, and maternal pathologies. The study consisted of 213 schoolchildren aged 5-10 years. Bio-socio-demographic data were obtained through interviews with mothers, previous maternal data and pregnancy follow-up records. Nutritional status was measured using weight-for-height and BMI z-score by age and sex. The STATA 15.0 software was used for statistical analysis. A total of 56% of the schoolchildren had overnutrition. Meanwhile, 53.1% of the mothers demonstrated pre-pregnancy overnutrition, which increased to 74.6% post-pregnancy. It was found that 71.4% of schoolchildren had experienced exclusive breastfeeding ≥6 months. Maternal age ≥35 years (p= 0.044) and pre-gestational nutritional status (p= 0.014) were statistically related. Maternal age ≥35 years increased overnutrition by almost two-fold (OR= 1.78; IC: 1.029-3.046), as did pre-gestational nutritional status (OR= 2.11; IC: 1.193-3.693) and maternal pathologies (OR= 1.41; IC: 1.073-2.694). In conclusion, schoolchildren aged 5-10 years with mothers ≥35 years of age, who had overnutrition in the pre-gestational period, and a pathology were 1.4 to 2.44 times more at risk of developing overnutrition than children without these factors.

Malnutrición por exceso durante la gestación: análisis de tendencia secular y de factores asociados, Región de La Araucanía, Chile / Secular trend for overweight and excessive weight gain during pregnancy in a Southern Chilean region

BACKGROUND: Overweight during pregnancy has increased in Chile. In the region of La Araucanía it occurs in 67% of pregnancies, which exceeds the national indicators. AIM: To analyze the secular trend during eight years of the nutritional status at the beginning of gestation, the excessive weight gain during pregnancy, and its association with individual factors in pregnant women cared the public health system of two Southern Chilean neighboring cities. MATERIAL AND METHODS: This is an analytical observational study with a cross-sectional and longitudinal trend design. We used an anonymized database with 17,270 reproductive data of urban pregnant women who were cared between 2009 and 2016. Trend analysis was performed to evaluate secular changes (nptrend < 0.05) in nutritional indicators and logistic regression to determine the association with individual characteristics. RESULTS: In the study period, overweight at the beginning of pregnancy increased by 13.1 percentage points. Forty percent of pregnant women with normal initial body mass index, were overweight or obese at the end of pregnancy. The excessive weight gain decreased slightly (z=-3.33, p = 0.001), but unevenly in both cities. Adolescent pregnancy, a low education and low socio-economic level of household together with previous overweight and a family or personal history of chronic diseases are associated with excessive gestational weight gain. Conclusions: The results show social inequality. Female malnutrition by excess is a problem that must be addressed through a robust public policy, centered on primary health care level and with a focus on social determinants. Prenatal care provides a window of opportunity to intervene.

Body mass index and gestational weight gain: relevance in gestational diabetes and outcomes - A retrospective cohort study

ABSTRACT Objective: To evaluate the influence of maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on blood glucose levels at diagnosis of gestational diabetes mellitus (GDM) and obstetric/neonatal outcomes. Subjects and methods: Retrospective cohort study including 462 women with GDM and singleton pregnancy delivered in our institution between January 2015 and June 2018 and grouped according to BMI/GWG. Results: The diagnosis of GDM was more likely to be established in the 1st trimester (T) in women with obesity than in normal-weight (55.8% vs 53.7%, p = 0.008). BMI positively and significantly correlated with fasting plasma glucose (FPG) levels in the 1stT (rs = 0.213, p = 0.001) and 2ndT (rs = 0.210, p = 0.001). Excessive GWG occurred in 44.9% women with overweight and in 40.2% with obesity (p < 0.001). From women with obesity, 65.1% required pharmacological treatment (p < 0.001). Gestational hypertension (GH) was more frequent in women with obesity (p = 0.016). During follow-up, 132 cesareans were performed, the majority in mothers with obesity (p = 0.008). Of the 17 large-for-gestational-age (LGA) birthweight delivered, respectively 6 and 9 were offsprings of women with overweight and obesity (p = 0.019). Maternal BMI had a predictive value only for macrosomia [aOR 1.177 (1.006-1.376), p = 0.041]. BMI and GWG positively correlated with birthweight (rs = 0.132, p = 0.005; rs = 0.188, p = 0.005). Conclusion: Maternal obesity is related with a major probability of diagnosis of GDM in 1stT, fasting hyperglycemia in 2ndT and a more frequent need for pharmacological therapy. Pre-gestational obesity is associated with GH, cesarean delivery and fetal macrosomia.

Atividade física na gravidez e seu efeito sobre os parâmetros relacionados ao peso: um estudo piloto randomizado e controlado / Physical activity in pregnancy and its effect on weight-related parameters: a pilot randomized controlled trial

INTRODUÇÃO: O declínio no nível de atividade física durante a gravidez está relacionado a várias complicações relacionadas à gravidez. Portanto, a atividade física regular durante a gravidez tem um papel importante na manutenção da boa saúde reprodutiva e de um estilo de vida saudável. OBJETIVOS: Avaliar o efeito de exercícios supervisionados, mensagens de texto e intervenções de atividade física baseadas em pedômetros durante a gravidez sobre os níveis de atividade física e parâmetros relacionados ao peso. MATERIAIS E MÉTODOS: Estudo piloto de grupo paralelo controlado e aleatório. Sessenta mulheres grávidas foram aleatorizadas em cinco grupos (N=12 em cada grupo): Grupo A: Exercício supervisionado; Grupo B: Pedômetro; Grupo C: Pedômetro mais mensagem de texto; Grupo D: Mensagem de texto e Grupo E: Controle. Mulheres grávidas de 20 a 30 anos de idade com uma gravidez de um botão e idade gestacional inferior a 16 semanas na inclusão, um IMC ≥ 18,5 kg /m2, uma disponibilidade de telefone celular e capacidade de falar e ler hindi e inglês foram selecionadas para participação no estudo. Mulheres com gestações gêmeas ou múltiplas, IMC >30kg/m2, gravidez de alto risco conforme decisão do ginecologista, quaisquer complicações relacionadas à gravidez, tais como hipertensão pré-gestacional, diabetes pré-gestacional e outras condições de saúde importantes que restringem sua atividade física no momento do recrutamento e mulheres grávidas analfabetas foram excluídas do estudo. O Grupo A recebeu um exercício supervisionado de luz a moderada intensidade de 45-60 minutos uma vez por semana a partir da 15ª semana até o parto. Os grupos B e C foram encorajados a melhorar o nível de atividade física, concentrando-se em uma contagem de passos de pelo menos 5000-7500 passos por dia avaliados por pedômetro em sete dias consecutivos por mês. O grupo C, além do pedômetro e o grupo D receberam SMS padrão relacionados aos cuidados da gravidez (atividade física, dieta, motivacional e educacional específica). Foi utilizada a ANOVA de uma via para estimar as diferenças entre os grupos e foi utilizado o teste t pareado para estimar a diferença dentro do grupo nas variáveis de resultado (p=0,05). RESULTADOS: O resultado do estudo mostrou estatisticamente significativo entre as diferenças de peso dos grupos no 9º mês (p=0,029) e a retenção de peso nos 2 meses pós-parto (p=0,005). O grupo de exercício supervisionado reteve menos peso durante o período pós-parto em comparação com o grupo de controle (Exercício supervisionado vs Controle, MD = 2,79kg, p=0,002). Entretanto, não houve melhora estatística significativa no ganho de peso gestacional, IMC, circunferência da cintura, circunferência do quadril e relação cintura/quadril em comparação com os grupos. CONCLUSÃO: Pode-se concluir que os exercícios supervisionados são eficazes para aumentar a atividade física, reduzir os parâmetros relacionados ao peso e ajudar na adoção de um estilo de vida saudável durante a gravidez.

INTRODUCTION: The decline in the level of physical activity during pregnancy is related to various pregnancy related complications. Therefore, regular physical activity during pregnancy plays an important role in maintaining good reproductive health and healthy lifestyle. OBJECTIVES: was to assess the effect of supervised exercises, text messages, and pedometer-based physical activity interventions during pregnancy on physical activity levels and weight-related parameters. MATERIALS AND METHODS: Controlled, randomized, parallel-group pilot study. Sixty pregnant women were randomized into five groups (N= 12 in each group): Group A: Supervised exercise; Group B: Pedometer; Group C: Pedometer plus text message; Group D: Text message and Group E: Control. Pregnant women aged 20-30 years with a singleton pregnancy and gestational age of less than 16 weeks at inclusion, a BMI ≥ 18.5 kg /m2, an availability of mobile phone and ability to speak and read Hindi and English languages were selected for participation in the study. Women with twin or multiple pregnancies, BMI >30kg/m2, high-risk pregnancy as decided by the gynecologist, any pregnancy related complications such as pre-gestational hypertension, pre-gestational diabetes, and other major health conditions restricting their physical activity at the time of recruitment and illiterate pregnant women were excluded from the study. Group A received supervised light to moderate intensity exercise of 45-60 minutes once weekly from the 15th week till delivery. Groups B and C were encouraged to improve physical activity level, focusing at a steps count of at least 5000-7500 steps per day assessed by pedometer on seven consecutive days per month. Group C in addition to pedometer and group D received standard SMS related to pregnancy care (physical activity, diet, motivational, and educational specific. One-way ANOVA was used to estimate the between-group differences and Paired t-test was used to estimate the within-group difference in the outcome variables (p=0.05). RESULTS: The result of the study showed statistically significant between groups differences in the weight at 9th month (p=0.029) and weight retention at 2months post-partum (p=0.005). The supervised exercise group retained less weight during post-partum period as compared to control group (Supervised exercise vs Control, MD = 2.79kg, p=0.002). However, there was no statistical significant improvement in gestational weight gain, BMI, waist circumference, hip circumference and waist to hip ratio as compared to groups. CONCLUSIONS: It can be concluded that supervised exercises are effective in increasing physical activity, reducing weight-related parameters, and help in adopting a healthy lifestyle during pregnancy.

The impact of excessive gestational weight gain on fetal hepatic lipid metabolism and the regulatory mechanism / 中华实用儿科临床杂志

Objective:A rat model of excessive gestational weight gain (EGWG) was constructed to investigate the impact of EGWG on fetal hepatic lipid metabolism and the relevant regulatory mechanism.Methods:Healthy Sprague-Dawley rats were caged together and tested for pregnancy.Rats with the sperm observed under microscope were considered pregnant for 0.5 days.Pregnant rats were divided into the normal diet (ND) group and high-fat diet (HFD) group by the random number table method, with 8 rats in each group.The body weight during pregnancy of the pregnant rats was recorded.Cesarean section was performed at day 21.5 of gestation and the birth weight of the fetal rats was recorded.Hepatic lipid deposition of the pregnant and fetal rats was examined by hematoxylin-eosin (HE) staining and oil red O staining.Triglyceride (TG) and cholesterol (TC) levels in livers and serum of the pregnant and fetal rats were detected by glycerol phosphate oxidase-peroxidase(GPO-PAP) method.The mRNA and protein expression levels of key genes FASN and SREBP1c in hepatic lipid metabolism of fetal rats were measured by real-time polyme-rase chain reaction (RT-PCR) and Western blot.Differences between the two groups were compared by independent sample t test. Results:There was no difference in pre-pregnancy body weight between the HFD group and the ND group, but the differences in the weight and the weight gain during pregnancy gradually enlarged between the two groups.At day 21.5 of gestation, the weight of the pregnant rats[(467.75±22.05) g vs.(430.88±18.80) g, t=-3.600, P=0.003], the weight gain of the pregnant rats during pregnancy[(181.50±9.68) g vs.(148.50±10.86) g, t=-6.415, P<0.001] and the birth weight of the fetal rats[(5.51±0.17) g vs.(4.85±0.35) g, t=-4.779, P<0.001] of the HFD group were significantly higher than those of the ND group.Both HE staining and oil red O staining presented increased hepatic lipid deposition in the pregnant and fetal rats of the HFD group.The hepatic and serum TG and TC levels of the pregnant and fetal rats of the HFD group were significantly higher than those of the ND group (all P<0.05). RT-PCR and Western blot showed that the mRNA and protein levels of key genes FASN and SREBP1c in hepatic lipid metabolism of fetal rats of the HFD group were significantly higher than those of the ND group (all P<0.05). Conclusions:An EGWG model can be successfully constructed by a 21-day HFD during pregnancy.EGWG can lead to hepatic lipid deposition in the fetal rats.The mechanism may be related to the expression changes of key genes FASN and SREBP1c in hepatic lipid metabolism of fetal rats.

Differences in gestational weight gain in accordance with Japanese and Institute of Medicine guidelines between Japanese and non-Japanese Asian pregnant women at a perinatal medical center in Japan / 国際保健医療

Objectives  High gestational weight gain (GWG) is associated with perinatal risks to mother and child. Research shows that non-Japanese Asian women have higher GWG than Japanese women. However, no studies have compared GWG in these two populations using GWG recommendations in accordance with Japanese and Institute of Medicine (IOM) guidelines. The study aim was to compare GWG in non-Japanese Asian and Japanese pregnant women.Methods  This was a retrospective observational study. All participants were aged ≥20 years and gave birth between September 2019 and the end of October 2020 at one perinatal medical center in Japan. Medical record data were analyzed for 170 non-Japanese Asian and 316 Japanese pregnant women. We used t-tests and chi-square tests to examine differences in age, parity, smoking status, antenatal checkups, pre-pregnancy body mass index, and GWG. Logistic regression analysis was used to estimate odds ratios (95% confidence intervals) for above- and below-recommended GWG by non-Japanese Asian and Japanese status. We also analyzed differences in delivery type, abnormal blood loss, and birth size according to GWG.Results  After adjustment for confounding factors, the multivariable-adjusted OR and 95% CI for GWG above the Japanese guidelines recommendations was 1.86 (1.23-2.81) and that for GWG above IOM guidelines recommendations was 2.46 (1.45-4.16) for non-Japanese Asian women, as compared with Japanese women. Conversely, the multivariable-adjusted OR and 95% CI for GWG below Japanese guidelines recommendations was 1.55 (1.03-2.32) and that for GWG below IOM guidelines recommendations was 1.87 (1.26-2.76) for Japanese women, compared with non-Japanese Asian women. Conclusion  Because Japanese women tend to be below recommended GWG and non-Japanese Asian women tend to be above recommended GWG, midwives need to provide careful guidance to reduce perinatal risks.

Alteración del perfil materno de adipocinas circulantes en preeclampsia / Altered maternal adipokine profile in preeclampsia

Resumen OBJETIVOS: Evaluar las concentraciones séricas maternas de las adipocinas: adiponectina, adipsina, leptina, lipocalina-2, proteína quimioatrayente de monocitos-1, factor de crecimiento nervioso, resistina y factor de necrosis tumoral alfa y su relación con el índice de masa corporal previo al embarazo y la ganancia de peso gestacional en mujeres con preeclampsia comparadas con mujeres sanas, y hacer un análisis de la clasificación de preeclampsia en temprana y tardía. MATERIALES Y MÉTODOS: Estudio transversal, comparativo, retrolectivo, con muestreo no probabilístico por conveniencia efectuado en pacientes atendidas en el Hospital de Gineco-Obstetricia 3, Centro Médico Nacional La Raza, Instituto Mexicano del Seguro Social (IMSS). En el preoperatorio se tomó una muestra de sangre para determinar las concentraciones séricas de las adipocinas mediante ensayos multianalito. RESULTADOS: Se estudió una muestra de 75 mujeres con embarazo sano y 44 con preeclampsia (temprana n = 20, tardía n = 24). Solo las concentraciones de adipsina, leptina y factor de necrosis tumoral alfa fueron mayores en preeclampsia que en el embarazo sano [mediana (rango intercuartílico): 3.9 µg/mL (2.9-5.4) vs 2.5 µg/mL (1.9-3.1), 10.6 ng/mL (6.0-19.1) en comparación con 7.1 ng/mL (3.8-12.4), 3.6 pg/mL (2.7-5.8) vs 2.9 (2.3-3.5), respectivamente]. Las concentraciones de las adipocinas no se correlacionaron con el índice de masa corporal previo al embarazo ni con la ganancia de peso gestacional. No hubo diferencias significativas en las concentraciones entre los subtipos de preeclampsia. CONCLUSIÓN: En el tercer trimestre del embarazo la preeclampsia se asocia con un perfil sérico de adipocinas alterado, caracterizado por concentraciones elevadas de adipsina, leptina y factor de necrosis tumoral alfa, que no se relaciona con el índice de masa corporal previo al embarazo, la ganancia de peso gestacional y el subtipo de preeclampsia.

Abstract OBJECTIVES: To evaluate maternal serum concentrations of adipokines: adiponectin, adipsin, leptin, lipocalin-2, monocyte chemoattractant protein-1, nerve growth factor, resistin and tumor necrosis factor-alpha and their relationship with pre-pregnancy body mass index and gestational weight gain in women with preeclampsia compared with healthy women, and to perform an analysis classifying preeclampsia as early and late. MATERIALS AND METHODS: Cross-sectional, comparative, retrolective, non-probabilistic convenience sampling study carried out in patients attended at the Hospital de Gineco-Obstetricia 3, Centro Médico Nacional La Raza, Instituto Mexicano del Seguro Social (IMSS). Preoperatively, a blood sample was taken to determine serum adipokine concentrations by multianalyte assays. RESULTS: A sample of 75 women with healthy pregnancy and 44 with preeclampsia (early n = 20, late n = 24) was studied. Only adipsin, leptin, and tumor necrosis factor-alpha concentrations were higher in preeclampsia than in healthy pregnancy [median (interquartile range): 3. 9 µg/mL (2.9-5.4) vs. 2.5 µg/mL (1.9-3.1), 10.6 ng/mL (6.0-19.1) compared to 7.1 ng/mL (3.8-12.4), 3.6 pg/mL (2.7-5.8) vs. 2.9 (2.3-3.5), respectively]. Adipokine concentrations did not correlate with pre-pregnancy body mass index and gestational weight gain. There were no significant differences in concentrations between preeclampsia subtypes. CONCLUSION: In the third trimester of pregnancy, preeclampsia is associated with an altered serum adipokine profile, characterized by elevated concentrations of adipsin, leptin, and tumor necrosis factor-alpha, which is not related to prepregnancy body mass index, gestational weight gain, and preeclampsia subtype.

Inadequacies of gestational weight gain: prevalence and association with sociodemographic characteristics and the living environment / Inadequações do ganho de peso gestacional: prevalência e associação com características sociodemográficas e do ambiente de moradia

ABSTRACT Objective To assess the association of gestational weight gain inadequacies with sociodemographic indicators and characteristics of the living environment. Methods Cross-sectional study conducted in 2019 with a probabilistic sample of 3580 postpartum women who gave birth in maternity hospitals of the Unified Health System in the State of Santa Catarina. Prevalence was calculated and, using logistic regression models, odd ratios of inadequate and adequate gestational weight gain were estimated according to sociodemographic and health indicators (Body Mass Index, age, marital status, race/skin color and education); and characteristics of the neighborhood (violence, social cohesion, encouragement to practice physical activity and access to healthy food). Results It was observed that 29.6% of the mothers had adequate gestational weight gain, 29.3% insufficient and 41.1% excessive gestational weight gain. Lower chances of adequate weight gain were found in women with pre-pregnancy body mass index classified as overweight (43.0%) and obesity (58.0%) and who lived in an environment with social cohesion (25.0%). In contrast, the chances of adequate weight gain were 43.0% higher among women with 12 years of schooling or more when compared to those with 8 years or less. Conclusion Inadequate gestational weight gain is associated with high pre-pregnancy body mass index, with social cohesion in the living environment and with a low level of education of the pregnant woman, requiring public policies that go beyond prenatal care.

RESUMO Objetivo Analisar a associação do ganho de inadequações do peso gestacional com indicadores sociodemográficos e características do ambiente de residência. Métodos Estudo transversal realizado em 2019, com amostra probabilística de 3.580 puérperas que realizaram o parto no Sistema Único de Saúde em maternidades do Estado de Santa Catarina. Foram calculadas as prevalências e, por meio de modelos de regressão logística, foram estimadas razões de chance de ganho de peso gestacional inadequado e adequado, segundo indicadores sociodemográficos e de saúde (Índice de Massa Corporal, idade, estado civil, raça/cor da pele e escolaridade) e características da vizinhança de residência (violência, coesão social, estímulo à prática de atividade física e acesso à alimentação saudável). Resultados Observou-se que 29,6% das puérperas tiveram ganho de peso gestacional adequado, 29,3% insuficiente e 41,1% excessivo. Menores chances de ganho de peso adequado foram encontradas em mulheres com índice de massa corporal pré-gestacional de sobrepeso (43,0%) e obesidade (58,0%) e que viviam em ambiente com coesão social (25,0%). Já as chances de ganho de peso adequado foram 43,0% maiores entre as mulheres com 12 anos ou mais de estudo quando comparadas àquelas com 8 anos ou menos. Conclusão O ganho de peso gestacional inadequado está associado com o índice de massa corporal pré-gestacional elevado, com a coesão social no ambiente de moradia e com a baixa escolaridade da gestante, exigindo políticas públicas que transcendam o cuidado básico do pré-natal.

Factors affecting the motivation for weight self-management among pregnant women / 预防医学

Objective@#To investigate the motivation for weight self-management and analyze its influencing factors among pregnant women in a tertiary hospital in Hohhot City, Inner Mongolia Autonomous Region, so as to provide insights into body weight management during pregnancy. @*Methods@#Pregnant women at ages of 18 years and older that underwent prenatal examinations in a tertiary hospital in Hohhot City from January to March, 2022 were sampled using a convenience sampling method. Subjects' age, height, weight, occupation, residence, monthly household income, history of gestation and childbirth and gestational period were collected, and the motivation for weight self-management was evaluated among pregnant women using a pregnancy weight management protein motivation scale. The factors affecting the motivation for weight self-management were identified among pregnant women using a multivariable linear regression model. @*Results@#Totally 969 pregnant women were recruited, including 841 women at ages of <35 years (86.79%), 780 women with an educational level of diploma and above (80.50%), 794 women living in urban areas (81.94%), 729 primiparas (75.23%), 421 women in the third trimester of gestation (43.45%) and 758 women with pre-pregnancy body mass index (BMI) of <25 kg/m2 (78.22%). The mean score of motivation for weight self-management was 127.53±14.60 among the pregnant women. Multivariable linear regression analysis showed that an educational level of high school and below (β′=-0.201), unemployed/self-employed individuals (β′=-0.077), living in rural areas (β′=-0.059), monthly household income of <10 000 yuan (<5 000 yuan, β′=-0.238; 5 000 to 10 000 yuan, β′=-0.169), in the third trimester of gestation (β′=-0.135), pre-pregnancy BMI of 25 kg/m2 and higher (β′=-0.214) and reduced the motivation for weight self-management among pregnant women.@*Conclusion@#The motivation for weight self-management correlates with gestational period, pre-pregnancy BMI, residence, occupation, educational level and monthly household income among pregnant women.

Impact of the change of the Atalah standard cut-off point to classify underweight nutritional status during pregnancy

ABSTRACT Chile, and several Latin American countries, use the Atalah standard to assess nutritional status during pregnancy. However, this standard (underweight: pre-pregnancy body mass index (BMI)<20 kg/m2 and normal weight: pre-pregnancy BMI= 20-24.9 kg/m2) differ from those recommended by the US Institute of Medicine (IOM2009) (underweight: BMI<18.5 kg/m2 and normal weight: 18.5-24.9 kg/m2). Using a large population database from a Chilean public hospital, we compared the prevalence of underweight and normal weight at the beginning of pregnancy with Atalah and IOM2009 standards. Additionally, we evaluated the performance of both standards in detecting adverse neonatal outcomes and gestational weight gain. Methods: Data from clinical records of single birth pregnancies (n= 59,476) at the Sótero del Río Hospital, between 2003-2012 were collected. We compared 1. nutritional status, 2. proportion of excessive gestational weight gain, 3. association between nutritional status and neonatal outcomes (large/small for gestational age, low birth weight, preterm birth and macrosomia), using logistic regression models, and 4. Sensitivity, specificity, and predictive values to predict adverse neonatal outcomes per nutritional status. Results: Pre-pregnancy underweight decreased from 8.6% to 2.5% and women with BMI between 18.5-19.9kg/m2, who exceeded the recommended gestational weight gain increased from 32.7% to 49.2% when using IOM2009 instead of Atalah. Both standards showed low sensitivity, but the IOM2009 cut-off points showed better specificity for identifying healthy newborns. Conclusion: The cut-off points recommended by the IOM2009 better identify the prevalence of underweight and normal weight during pregnancy without increasing neonatal risk. This study supports the recent change of the Ministry of Health in adopting the WHO cut-off points during pregnancy.

RESUMEN Chile y diversos países Latinoaméricanos utilizan el estándar de Atalah para evaluar el estado nutricional (EN) durante el embarazo. Sin embargo, los puntos de corte de este estándar (bajo peso, BP: índice de masa corporal pre-gestacional (IMC)<20 kg/m2 y normal, NP: IMC pregestacional= 20-24,9 kg/m2) difieren de los recomendados por el Instituto de Medicina de EE.UU. (IOM2009) (BP: BMI<18.5kg/m2 and NP: 18,5-24,9 kg/m2). Con datos obtenidos desde el Hospital Sótero del Río, nosotros evaluamos la prevalencia de BP y NP al comienzo del embarazo con los estándares de Atalah e IOM2009. Adicionalmente, nosotros comparamos el comportamiento de ambos estándares en detectar resultados neonatales (RN) adversos y en la clasificación de la ganancia de peso gestacional (GPG). Métodos: Se obtuvieron datos de embarazos simples entre 2003-2012, (n= 59.476). Nosotros comparamos: 1. Prevalencia de EN, 2. Proporción de excesiva GPG, 3. Asociación entre EN y RN, usando modelos de regresión logística, y 4. Sensibilidad, especificidad y valores predictivos para predecir RN según EN. Resultados: La prevalencia de BP pregestacional disminuyó de 8,6% a 2,5% y las mujeres con IMC entre 18,5-19,9 kg/m2 que excedieron la GPG recomendada, incrementaron desde 33% a 50% cuando se utilizó el estándar IOM2009 en vez de Atalah. Ambos estándares mostraron baja sensibilidad, pero IOM2009 mostró mejor especificidad para identificar recién nacidos saludables. Conclusión: Estandar IOM2009 identifica con mayor precisión la prevalencia de BP y NP durante la gestación sin incrementar el riesgo neonatal. Este estudio respalda el reciente cambio del MINSAL al adoptar los puntos de corte de la OMS durante el embarazo.

Factores maternos y ganancia de peso en un grupo de gestantes con recién nacidos macrosómicos / Maternal Factors and Weight Gain in a Group of Pregnant Women with Macrosomic Newborns

Resumen Antecedentes: la excesiva ganancia de peso contribuye al riesgo de diabetes gestacional y sobrecrecimiento fetal. Objetivo: explorar el efecto de algunos factores sociodemográficos, gestacionales y antropométricos sobre la ganancia de peso durante la gestación en un grupo de mujeres con recién nacidos macrosómicos, atendidas en una institución de segundo nivel del departamento de Antioquia, Colombia, entre 2010 y 2017. Materiales y métodos: se realizó un estudio transversal retrospectivo con historias clínicas prenatales de 61 mujeres que tuvieron recién nacidos macrosómicos. La variable de interés fue la ganancia de peso. Para la asociación de los aspectos sociodemográficos y gestacionales con la ganancia de peso, se aplicó la prueba t de Student y la magnitud del efecto con la medida g de Hedges. Se aplicó un modelo de regresión lineal múltiple ajustado para el análisis multivariado. Resultados: se hallaron diferencias estadísticamente significativas según edad materna, IMC pregestacional, estatura materna e interconsulta a nutrición. El tamaño del efecto sobre el aumento de peso en el embarazo para cada una de estas variables fue significativo. El IMC pregestacional (p<0,001; IC95 % -7,28; -2,67) y la estatura materna (p<0,05 IC95 % 0,88; 5,87) explican el 27 % de la variabilidad de la ganancia de peso. Conclusión: factores como edad materna menor a 35 años, IMC pregestacional, estatura materna y ausencia de atención nutricional pueden repercutir en ganancias de peso por encima de lo recomendado.

Abstract Background: Excessive weight gain contributes to the risk of gestational diabetes and fetal overgrowth. Objective: to explore the effect of some sociodemographic, gestational and anthropometric factors on weight gain during pregnancy, in a group of women with macrosomic newborns, treated at a second-level institution in the department of Antioquia, between 2010 and 2017. Materials and Methods: A descriptive cross-sectional study was conducted with prenatal medical records of 61 women with macrosomic newborns. The variable of interest was weight gain. For the relationship of the sociodemographic and gestational aspects with the weight gain, the t-Student test was applied and the magnitude of the effect with the Hedges g measure. A multiple linear regression model adjusted was applied for multivariate analysis. Results: Statistically significant differences were found in maternal age, pregestational body mass index, maternal height, and nutrition consultation. The effect size on weight gain in pregnancy for each of these variables was significant. Pregestational body mass index (p<0.001, 95% CI -7.28; -2.67) and maternal height (P<0.05 95% CI 0.88; 5.87) explain 27% of the variability of weight gain. Conclusion: factors such as maternal age less than 35 years, pregestational body mass index, maternal height and lack of nutritional care, can have an impact on weight gains above the recommendations.

Obesity, gestational weight gain, and birth weight in women with gestational diabetes: the LINDA-Brasil (2014-2017) and the EBDG (1991-1995) studies

ABSTRACT Objective: This study aimed to evaluate gestational weight gain and birth weight in women with gestational diabetes mellitus of two Brazilian cohorts enrolled three decades apart. Methods: The authors compared data of 2362 women from the Lifestyle INtervention for Diabetes Prevention After Pregnancy study (LINDA-Brasil, 2014-2017) to those of 359 women from the Estudo Brasileiro de Diabetes Gestacional study (EBDG, 1991-1995). Gestational weight gain was classified by the 2009 Institute of Medicine criteria; large and small for gestational age newborns, by the Intergrowth-21st chart. Differences in birth weight means between pregestational BMI and gestational weight gain categories were evaluated by ANOVA; the associations of gestational weight gain and birth weight, through multivariable Poisson regression. Results: In LINDA-Brasil, women presented higher pregestational body mass index (30.3 ± 6.5 vs. 24.6 ± 4.4 kg/m2) and were frequently obese (46.4 vs. 11.1%) compared to those of the EBDG. In the EBDG, gestational weight gain was larger (11.3 ± 6.1 vs. 9.2 ± 7.6 kg) and rates of small for gestational age higher (7.5 vs. 4.5%) compared to LINDA-Brasil. In LINDA-Brasil, excessive gestational weight gain was associated to macrosomia (adjusted relative risk [aRR]: 1.59, 95% CI 1.08-2.35) and large for gestational age (aRR: 1.40; 95% CI 1.05-1.86); less gain increased the risk of low birth weight (aRR: 1.66; 95% CI 1.05-2.62) and small for gestational age (aRR: 1.79; 95% CI 1.03-3.11). These associations were similar in the EBDG, although not statistically significant. Conclusions: Improvements in gestational weight gain and rates of small for gestational age occurred over time in gestational diabetes mellitus pregnancies, accompanied by a worsening in maternal weight profile. This highlights the nutritional transition during this period and the importance of avoiding excessive gestational weight gain as well as promoting adequate weight before conception.