Association between parity, pre-pregnancy body mass index and gestational weight gain

Paulino, Daiane Sofia Morais; Surita, Fernanda Garanhani; Peres, Gabriela Bertoldi; Nascimento, Simony Lira do; Morais, Sirlei Siani

doi:10.3109/14767058.2015.1021674

Cited by 26 publications

(23 citation statements)

References 19 publications

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“…It is known that women who gain weight excessively or inadequately during pregnancy are at increased risks of poor maternal and child health outcomes. [39][40][41][42] In summary, our study shows that the obese women were older than the controls, and that obesity in early pregnancy increased the risk of hyperglycemic disorders, hypertensive disorders, cesarean delivery, fetal macrosomia, and fetal acidosis.…”

Section: Discussionmentioning

confidence: 59%

Effect of Obesity on Gestational and Perinatal Outcomes

Madi

Garcia

Souza

et al. 2017

Rev Bras Ginecol Obstet

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Keywords► obesity ► body mass index ► pregnancy outcomes ► neonatal outcomes AbstractPurpose To assess the impact of pre-pregnancy obesity (body mass index [BMI] ! 30 kg/m 2 ) on the gestational and perinatal outcomes. Methods Retrospective cohort study of 731 pregnant women with a BMI ! 30 kg/m 2 at the first prenatal care visit, comparing them with 3,161 women with a BMI between 18.5 kg/m 2 and 24.9 kg/m 2 . Maternal and neonatal variables were assessed. Statistical analyses reporting the demographic features of the pregnant women (obese and normal) were performed with descriptive statistics followed by two-sided independent Student's t tests for the continuous variables, and the chi-squared (χ 2 ) test, or Fisher's exact test, for the categorical variables. We performed a multiple linear regression analysis of newborn body weight based on the mother's BMI, adjusted by maternal age, hyperglycemic disorders, hypertensive disorders, and cesarean deliveries to analyze the relationships among these variables. All analyses were performed with the R (R Foundation for Statistical Computing, Vienna, Austria) for Windows software, version 3.1.0. A value of p < 0.05 was considered statistically significant. Results Obesity was associated with older age .2); p < 0.01], hyperglycemic disorders [OR 6.5 (4.8-8.9); p < 0.01], hypertensive disorders [OR 7.6 (6.1-9.5); p < 0.01], caesarean deliveries [OR 2.5 (2.1-3.0); p < 0.01], fetal macrosomia [OR 2.9 (2.3-3.6); p < 0.01] and umbilical cord pH [OR 2.1 (1.4-2.9); p < 0.01). Conversely, no association was observed with the duration of labor, bleeding during labor, Apgar scores at 1 and 5 minutes after birth, gestational age, stillbirth and early neonatal mortality, congenital malformations, and maternal and fetal injury.

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Section: Discussionmentioning

confidence: 59%

Effect of Obesity on Gestational and Perinatal Outcomes

Madi

Garcia

Souza

et al. 2017

Rev Bras Ginecol Obstet

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“…Another observational study performed in Brazil also drew attention to this factor: the large number of women, who began gestation in the overweight and obesity ranges, contributes to a worse outcome in relation to postpartum weight variation. 24 This data demonstrates the importance that must be given to this population, by means of public policies aiming women in the reproductive age, and not just for the extremes of low weight and obesity.…”

Section: Discussionmentioning

confidence: 81%

Maternal Weight Variation in Different Intrauterine Environments: An Important Role of Hypertension

Cazarotto

Ferreira

et al. 2019

Rev Bras Ginecol Obstet

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Objective Different intrauterine environments may influence the maternal prepregnancy body weight (BW) variation up to 6 months postpartum. The objective of the present study was to verify the association of sociodemographic, obstetric, nutritional, and behavioral factors with weight variation in women divided into four groups: hypertensive (HM), diabetic (DM), smokers (SM), and control mothers (CM). Methods It was a convenience sample of 124 postpartum women recruited from 3 public hospitals in the city of Porto Alegre, state of Rio Grande do Sul, Brazil, between 2011 and 2016. Multiple linear regressions and generalized estimating equations (GEE) were conducted to identify the factors associated with maternal weight variation. For all GEE, the maternal weight measurements were adjusted for maternal height, parity, educational level, and the type of delivery, and 3 weight measurements (prepregnancy, preceding delivery, and 15 days postpartum) were fixed. Results A hierarchical model closely associated the maternal diagnosis of hypertension and a prepregnancy body mass index (BMI) classified as overweight with maternal weight gain measured up to the 6th month postpartum (the difference between the maternal weight at 6 months postpartum and the prepregnancy weight). These results showed that the BW of the HM group and of overweight women increased ∼ 5.2 kg 6 months postpartum, compared with the other groups. Additionally, women classified as overweight had a greater BW variation of 3.150 kg. Conclusion This evidence supports the need for specific nutritional guidelines for gestational hypertensive disorders, as well as great public attention for overweight women in the fertile age.

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“…During pregnancy, women may gain more weight than recommended and consequently have more difficulty in postpartum weight loss 19 . Similarly, pre-gestational BMI was related to gestational weight gain, differentiated between nulliparous and multiparous individuals 20 .…”

Section: Discussionmentioning

confidence: 97%

Early menarche and teenager pregnancy as risk factors for morbid obesity among reproductive-age women: A case-control study

Neves¹,

Kasawara²,

Godoy-Miranda³

et al. 2017

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OBJECTIVES:The aim of this study was to evaluate potential risk factors, including non-communicable diseases, for morbid obesity in women between 20 and 49 years of age.METHODS:We performed a case-control study with 110 morbidly obese women and 110 women with adequate weight who were matched by age and with a 1:1 case to control ratio. All women were between 20 to 49 years old and non-menopausal. Possible risk factors were evaluated through a self-report questionnaire assessing socio-demographic, obstetric and gynecological characteristics, presence of non-communicable diseases and habits. Multiple logistic regression was used to estimate the odds ratio with respective confidence intervals.RESULTS:Menarche under 12 years old, teenage pregnancy and lower educational level were shown to be risk factors for morbid obesity among women of reproductive age. Incidences of non-communicable diseases (diabetes, hypertension, dyslipidemia, liver disease, lung disease, thyroid dysfunction, and joint pain) were increased in women with morbid obesity.CONCLUSIONS:Early menarche, teenage pregnancy and low education level are risk factors for the occurrence of morbid obesity in women of reproductive age. Some non-communicable diseases were already more prevalent in women with morbid obesity even before 50 years of age.

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Association between parity, pre-pregnancy body mass index and gestational weight gain

Cited by 26 publications

References 19 publications

Effect of Obesity on Gestational and Perinatal Outcomes

Effect of Obesity on Gestational and Perinatal Outcomes

Maternal Weight Variation in Different Intrauterine Environments: An Important Role of Hypertension

Early menarche and teenager pregnancy as risk factors for morbid obesity among reproductive-age women: A case-control study

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