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Ciência & Saúde Coletiva

Print version ISSN 1413-8123On-line version ISSN 1678-4561

Ciênc. saúde coletiva vol.25 no.8 Rio de Janeiro Aug. 2020  Epub Aug 05, 2020

https://doi.org/10.1590/1413-81232020258.23492018 

ARTICLE

Associated factors with excessive weight gain in pregnant women from Maceió, Northeastern Brazil

Fatores associados ao ganho ponderal excessivo em gestantes de Maceió, Nordeste do Brasil

Raphaela Costa Ferreira1 
http://orcid.org/0000-0002-1613-8819

Micaely Cristina dos Santos Tenório2 
http://orcid.org/0000-0002-1771-489X

Marilene Brandão Tenório3 
http://orcid.org/0000-0002-7504-0491

Carolina Santos Mello4 
http://orcid.org/0000-0001-6461-1749

Alane Cabral Menezes de Oliveira2 
http://orcid.org/0000-0002-7497-919X

1Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Alagoas (UFAL). Av. Lourival Melo Mota s/n, Tabuleiro do Martins. 57072-900 Maceió AL Brasil. raphinhacosta2010@hotmail.com

2Faculdade de Nutrição, UFAL. Maceió AL Brasil.

3Rede Nordeste de Biotecnologia, UFAL. Maceió AL Brasil.

4Escola de Nutrição, Universidade Federal de Bahia. Salvador BA Brasil.


Abstract

This article aims to evaluate the associated factors with excessive weight gain in pregnant women from Maceió, the capital of Alagoas, Northeastern Brazil. Cross-sectional study with pregnant women attended in public health in the city of Maceió in 2014, of which socioeconomic, clinical (glycemia, capillary hemoglobin, and blood pressure measurement), dietary, and anthropometric data, including in the latter gestational weight gain, classified as insufficient, adequate and excessive according to the US Institute of Medicine, were collected. The combination of excessive weight gain with the independent variables was tested using the Poisson regression expressed by the Prevalence Ratio (PR) and a 95% confidence interval (CI95%). We studied 403 pregnant women with a mean age of 24.08 ± 6.01 years, with 19.9% of them displayed insufficient weight gain; 14.1% displayed adequate weight gain, and 66.0% displayed excessive weight gain, that was associated with maternal hyperglycemia (PR = 1.35; CI95% = 1.17 to 1.57; p < 0.001). Excessive weight gain is common among pregnant women evaluated with the association of this variable with maternal hyperglycemia.

Key words Weight gain; Hyperglycemia; Prenatal care

Resumo

O objetivo deste artigo é avaliar os fatores associados ao ganho ponderal excessivo em gestantes de Maceió, capital do estado de Alagoas, Nordeste do Brasil. Estudo transversal realizado com gestantes assistidas pela rede pública de saúde do município de Maceió em 2014, das quais foram coletados dados socioeconômicos, clínicos (dosagens de glicemia, hemoglobina capilar e medida de pressão arterial), dietéticos e antropométricos, incluindo neste último o ganho ponderal gestacional, classificado em insuficiente, adequado e excessivo, segundo o Instituto de Medicina dos Estados Unidos. A associação do ganho ponderal excessivo com as variáveis independentes foi testada por meio de regressão de Poisson expressa pela Razão de Prevalência (RP) e respectivos intervalos de confiança a 95% (IC95%). Foram estudadas 403 gestantes com idade média de 24,08 ± 6,01 anos, sendo que em relação ao ganho ponderal 19,9% delas o tiveram insuficiente; 14,1% adequado e 66,0% excessivo, estando este último associado à hiperglicemia materna (RP = 1,35; IC95% = 1,17-1,57; p < 0,001). O ganho ponderal excessivo foi frequente entre as gestantes avaliadas, com associação dessa variável com a hiperglicemia materna.

Palavras-chave Ganho de peso; Hiperglicemia; Cuidado pré-natal

Introduction

The anthropometric evaluation in pregnancy is a low-cost and very useful procedure for the establishment of early and effective interventions during prenatal care, with a view to reduce maternal and fetal risks, where gestational weight gain should be used as an indicator of maternal nutritional status1.

The World Health Organization (WHO) and the Institute of Medicine of the United States (IOM-USA)2 recommend ranges of gestational weight gain, differentiated according to the pre-gestational maternal nutritional status; this recommendation was also adopted by the Brazilian Ministry of Health3. Thus, women with pre-gestational low-weight diagnosis should have a weight gain of 12.5 to 18.0 kg; those considered eutrophic a weight gain of 11.0 to 16.0 kg; those overweight from 7.0 to 11.5 kg, and obese women from 5.0 to 9.0 kg2.

A systematic review of the epidemiology of weight gain during pregnancy states that its excessive form raises the maternal risk of obesity in the postpartum period, contributing to the increased prevalence of this condition4. In addition, it increases the chance of gestational diabetes mellitus, hypertensive disorders and there are reports of fetal cases of macrosomia, cephalopelvic disproportion, and perinatal asphyxia5,6.

In general, studies on the determinants of excessive weight gain during gestation are scarce, with emphasis on those related to worse socioeconomic conditions. The impairment of health and nutritional states has also been described as factors associated with this outcome7-9.

The gestation is a critical period, in which nutritional status directly influences maternal and fetal health, requiring an increased attention to health services. Although insufficient weight gain persists as a public health problem, excessive weight gain is an issue that needs immediate attention in primary care, given the adverse consequences of this aggravation9.

Thus, the aim of the present study is to evaluate the factors associated with excessive weight gain in pregnant women from Maceió, capital of the Alagoas, Northeast Brazil.

Methods

This is a cross-sectional study was carried out in Basic Health Units (BHU) in the municipality of Maceió in the year 2014, located in the homonymous microregion and mesoregion of Eastern Alagoas, a northeastern macroregion of the country. The municipality, the largest in the state of Alagoas, considered medium-sized by the United Nations Development Program, had an estimated population of 1.005.319 inhabitants in 2014, and a human development index of 0.73510.

This study is part of a larger research for the Unified Health System (UHS), funded by the PPSUS/02/2013/FAPEAL, entitled “Nutritional status, weight gain and feeding behavior of pregnant women in Maceió-Alagoas: impact on health of the binomial mother-child” that also had as objective to evaluate the weight gain gestational and its associated factors.In the present study were included pregnant women with a single fetus and attended by the municipal public network from Maceió. Were excluded pregnant women who did not perform some of the study steps (anthropometry and/or food survey). Not included pregnant women that presented difficulties of locomotion and twin pregnancy. The sample calculation was performed using the Epi Info Version 7.0, considering as an outcome of interest the prevalence of excessive weight gain during pregnancy according to Assunção et al.11 estimated at 45%, a sample error of 5%, a confidence level of 95%, would require 381 volunteers. Due to the availability of resources, 403 pregnant women who completed the research protocol (two 24-hour reminders) were included, out of a total of 432 volunteers from the original project, totaling a loss of 29 pregnant women.

It is emphasized that Maceió is strategically organized in eight health districts, covering the districts of the capital, with a total of 60 BHU. Thus, from a list of all the BHU of the capital was drawn 50% of the total by sanitary district (made by random lottery). Based on these data, a weighting calculation was performed according to the number of pregnant women enrolled in each BHU, a list provided by the Municipal Health Department of the municipality (Rede Cegonha) so that those units with more registered pregnant women contributed, proportionally, of pregnant women in the sample.

Recruitment of pregnant women was done in a random manner before the start of the prenatal consultations at BHU, where they were initially invited to participate in the research and guided to signing the informed consent form. In sequence, the questionnaire developed and tested previously by the research group was applied. The information collected included socioeconomic data (age, monthly family income, maternal schooling, and marital status), prenatal (parity and gestational age), nutritional status (anthropometry and food consumption), and serum levels of hemoglobin, glucose, and blood pressure measurements. The data collection was done by students prior trained, and supervised by a nutritionist (ACMO).”

For the anthropometric evaluation, the variables of weight and height were measured using a Marte LC200® digital scale and portable stadiometer. The gestational body mass index (BMI) was calculated, and using cut-off points established by Ministry of Brazil Health3 the pregnant women had the nutritional status classified as low weight, adequate, overweight, and obesity. Data of weight and pre-gestational BMI were also investigated, being these data referred by the pregnant woman considering age range also by Ministry of Brazil Health3. The weight gain during pregnancy adjusted for gestational age at the time of the interview was evaluated to the IOM2 meta-weight recommendations, being classified as insufficient weight gain, adequate weight gain, or excessive weight gain (the latter, the variable outcome of the analyzes).

Two 24-hour dietary recall was used to evaluate the energy and macronutrient consumption, the first realized at the time of application of the survey questionnaire and the second by phone, with an interval of up to a month after the initial collection. Both the food assessment was corresponding to typical days in the week. The data were analyzed using the nutritional prescription and assessment system-Avanutri 4.0®, with subsequent adjustments of calories and nutrients by the Estimated Average Requirement (EAR) method as a cut-off point12. The evaluation of the adequacy of food consumption was based on the existing recommendations for pregnant women according to the Dietary Reference Intakes (DRIs)13. Food intake was considered adequate when the frequency established by the average of the two food recall data collected was between the EAR corresponding to the Reference Dietary Intake and the Tolerable Upper Intake Level (UL), which is the tolerable upper limit of the intake12. The individual energy requirement and fiber recommendation were based Food and Agriculture Organization/World Health Organization/United Nations University/Institute of Medicine14,15.

The blood pressure was measured using the Omron 705 CP® device, with the women sitting comfortably for at least 5 minutes in a chair (with their feet flat on the floor), in a calm environment, and with the right arm positioned at heart level. For the purpose of data analysis, the mean values obtained in two blood pressure measurements were used, with 20 minutes intervals. The systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg were used as cut-off points for high blood pressure16.

In order to verify the presence of anemia, hemoglobin was measured by capillary blood samples using disposable microcuvettes using the Hemocue® (Hemocue Limited, Sheffield - UK) portable photometer. The results were obtained immediately by reading the apparatus used and expressed in deciliters. Dosing was performed only once, but in the presence of hemoglobin < 10 g/dL, the test was repeated and the result obtained by the mean of the two samples. For the diagnosis of anemia, the criterion proposed by the WHO17 was used, which defines as hemoglobin concentration below 11 g/dL, and for severe anemia < 7 g/dL.

Blood glucose measurements were made through the collection of capillary blood samples using Softclik disposable lancers and the Accu Check Performa portable digital glycol meter, both from Roche® Laboratory. The results were obtained immediately by reading the apparatus and expressed in mg/dL. The capillary dosage was performed once with a cut-off point of 140 mg/dL according to the Brazilian Diabetes Society in its latest Directive18.

The independent variables studied were: age range (≤ 19 years / 20-34 years / ≥ 35 years); monthly household income ≤ 1 minimum wage (yes / no); no stable union (yes / no); schooling ≤ 4 years of study (yes / no); primigravida (yes / no); gestational age ≥ 20 weeks (yes / no); high blood pressure (yes / no); hyperglycemia (yes / no); anemia (yes / no); nutritional status classified by gestational BMI (low weight, eutrophy, overweight and obesity), and high food (caloric, protein, lipid, and glucose) and low fiber intake.

The data were processed using Stata version 13.0. In the study, multiple Poisson logistic regression with robust variance estimation was used to identify associated factors with excessive gestational weight gain (dependent variable). The variables that were significantly less than 20% (p < 0.20) in the univariate test were tested in the adjusted model. The magnitude of the associations between the independent variables and the outcome variable was expressed in Prevalence Ratio (PR) and respective Confidence Intervals (95% CI), considering a significant p < 0.05.

The present study was approved by the Ethics and Research Committee of the Federal University of Alagoas.

Results

A total of 403 pregnant women with a mean age of 24.08 ± 6.01 years, ranging from 14 to 44 years old, were studied, with 24.3% of them adolescents. More than 50.0% of them (56.8%) had monthly family income ≤ 1 minimum wage; 43.9% were primigesta and 63.9% were gestational age ≥ 20 weeks (Table 1). We excluded 29 pregnant women who did not complete the research protocol. There were no refusals.

Table 1 Univariate analysis of the association between socioeconomic variables, prenatal, nutritional, and clinical status, and excessive gestational weight gain among pregnant women assisted by the public health system in 2014, Maceió-AL. 

Variables Total
n=403 (100%)
Excessive weight gain
n=266
(66.0%)
Gross RP
(IC95%)
p-value*
Socioeconomic data
Age group (years)
≤ 19 24.3 24.1 0.986 (0.835-1.263) 0.868
20-34 67.7 67.3 1.00
≥ 35 anos 7.9 8.6 1.09 (0.872-1.380) 0.427
Schooling ≤ 4 years of study 4.7 4.1 0.871 (0.589-1.289) 0.491
Monthly family income ≤ 1 minimum wage 56.8 55.0 0.930 (0.808-1.070) 0.314
Without stable union 20.1 21.4 1.084 (0.921-1.275) 0.330
Of prenatal
Primigesta 43.9 39.8 0.845 (0.730-0.979) 0.026
Gestational age ≥ 20 weeks 63.9 64.5 1.026 (0.885-1.190) 0.731
Nutritional status
Anthropometry (current BMI)
Low weight 17.1 15.8 0.959 (0.740-1.122) 0.351
Eutrophy 40.0 39.8 1.00
Overweight 29.0 28.2 0.959 (0.819-1.124) 0.612
Obesity 13.9 16.2 1.194 (1.013-1.408) 0.034
Food consumption
High Caloric 11.2 12.0 1.087 (0.879-1.345) 0.439
High Protein 21.3 18.3 0.827 (0.670-1.021) 0.078
High Lipid 13.9 14.5 1.052 (0.859-1.289) 0.619
High Glycidic 1.4 1.6 0.912 (0.449-1.875) 0.804
Low Fiber 82.9 91.4 1.000 (0.990-1.010) 0.469
Clinical
Anemia 27.7 27.9 1.012 (0.866-1.182) 0.878
High blood pressure 3.0 3.0 1.011 (0.673-1.519) 0.955
Hyperglycemia 5.4 7.7 1.438 (1.244-1.663) <0.001

*Univariate Poisson regression, p < 0.05 as significant; RP - Prevalence ratio; CI 95% - 95% Confidence Interval.

Regarding nutritional status, 17.1% were underweight and 42.9% were overweight (29.0% overweight and 13.9% were obese). According to gestational weight gain, 19.9% had insufficient gain; 14.1% adequate gain and 66.0% excessive gain. Regarding food consumption, 11.2%, 21.3%, 13.9% of pregnant women presented high caloric, protein, lipid and glucose consumption, and 82.9% presented low consumption of dietary fiber (Table 1).

The results of the univariate analysis of the association between the independent variables and the excessive gestational weight gain are shown in Table 1, with association of the outcome after adjustment of the model only with maternal hyperglycemia [PR = 1.389 (95% CI = 1.197-1.611); p < 0.001] (Table 2).

Table 2 Multivariate analysis of factors associated with excessive gestational weight gain among pregnant women assisted by the public health system in 2014, Maceió-AL. 

Variables RP adjusted
(CI 95%)
p-value*
Hyperglycemia 1.389 (1.197-1.611) <0.001
Primigesta 0.870 (0.735-1.030) 0.108
Obesity 1.145 (0.948-1.384) 0.158
Excessive protein intake 0.853 (0.677-1.074) 0.177

*Multivariate Poisson regression, p < 0.05 as significant; RP - Prevalence ratio; CI95% - 95% Confidence Interval.

However, the variables pregnancy, maternal obesity, and high protein intake were also included in the adjusted model, since they were included in the criteria proposed for this last analysis (p < 0.20 in the crude analysis).

Discussion

Adequate nutritional status and maternal weight gain are important factors for an adequate gestational outcome, as well as maternal and infant health maintenance over the years19,20. In this research, almost two-thirds of pregnant women presented excessive weight gain (66.0%), a much higher frequency than that found in studies performed with Brazilian pregnant women in Campina Grande (43.0%)21 and Rio Grande do Sul (44.8%)22, and with pregnant women in Canada (48.7%)8.

It is known that excessive weight gain during pregnancy contributes heavily to the obesity epidemic in modern times. The prevalence of this condition has been increasing and being a cause for alarm among health professionals23, and the fact that in this study those obese women had a greater weight gain compared to non-obese women (16.2% versus 9.5%; p = 0.034). A similar result was found in a study carried out in Southern Brazil where a higher risk of excessive weight gain was observed in pregnant women with pre-gestational overweight and obesity (RR 1.75, 95% CI 1.48-2.07 and RR: 1.55, 95% CI: 1.23-1.96, respectively)22, and in another study conducted with women in Scotland, UK, where significant associations were found between high maternal BMI and excessive weight gain24, and in the study with pregnant women in Rio Grande do Sul, where was observed that overweight women at conception had the lowest proportion of healthy weight gain during pregnancy20.

It is known that pregnancy is a complex process where adaptations occur in the metabolic and physiological mechanisms aiming to promote fetal growth and maintenance of maternal health. For this, are required a variety of genetic and environmental interactions25. It is worth mentioning in this process the leptin hormone, responsible for regulating food intake and energy expenditure, which has its production proportional to the amount of body fat26. However, overweight individuals may develop resistance to this action. A study27 carried out with pregnant women found a relationship between a certain genetic polymorphism of leptin with the development of pre-pregnancy overweight and obesity, as well as with excessive weight gain during pregnancy. In addition, all overweight women had higher concentrations of leptin in all trimesters of pregnancy.

On the other hand, women who are overweight or obese before becoming pregnant, or those who gain excessive weight during pregnancy, are more likely to retain weight gained during this period, which increases the risk for the development of future diseases28. However, it is still unclear whether the association between pre-gestational BMI and postpartum weight change are independent of other factors able of altering maternal weight standards in the postpartum period29.

In this context, a randomized trial30 was developed with Egyptian pregnant women to test the effect of dietary counseling on excessive weight gain during pregnancy. The intervention group presented higher rates of maternal weight gain according to the recommendations when compared to the control (42.7% vs 13.9%, respectively), allowing the authors to conclude that such intervention reduces the excessive weight gain proportion during pregnancy, as well as improves eating practices. Consequently, leading to better perinatal outcomes.

Current research on weight gain has shown a tendency to decline in adequate gestational weight gain in detriment to the increase in excessive weight gain6,9, the latter related to the cesarean delivery route, with the birth of preterm newborns, neural tube defects, macrosomia, higher admission rates in Pediatric Intensive Care Units, and increased risk of preeclampsia31,32, where in a recent study carried out in the public health system of Maceió municipality, obesity and excessive weight gain in pregnant women with preeclampsia when compared to those without the disease (p < 0.001 and p = 0.013, respectively)33.

Added to that, a study carried out in a public maternity hospital in Rio de Janeiro also showed an increase in the risk of preeclampsia in overweight pregnant women23. Data from the international, multicenter and epidemiological Hyperglycemia and Adverse Pregnancy Outcome (HAPO)34, which included 15 centers in 9 countries, concluded that a high maternal BMI was associated with a higher frequency of the disease.

An interesting fact in the present study was the association of excessive weight gain with maternal hyperglycemia, which may lead to the development of gestational diabetes mellitus in this group, a hypothesis already confirmed by the study by Zhong et al.35 who concluded that the excessive early gestational weight gain is a significant risk factor for the onset of gestational diabetes mellitus.

The relationship between overweight and gestational diabetes assumes that in women already prone to insulin resistance due to obesity or genetic predisposition, the physiological tendency of pregnancy is increased, leading to exacerbation of hormones against insulin regulators, causing hyperglycemia and consequently the onset of gestational diabetes mellitus, usually diagnosed around the 20th to 24th weeks of pregnancy36.

In this context, data from Vigitel37 show a significant temporal variation, considering data from 2006-2016, between overweight indicators (BMI ≥ 25kg/m²), obesity (BMI ≥ 30kg/m²), medical diagnosis of arterial hypertension and medical diagnosis of diabetes. Despite the increasing trend of such indicators in both sexes, women presented variation coefficient superior to men in all of them except for hypertension. This reinforces the need for a greater care to the health of this public, considering that the excessive weight gain during the gestational period, as well as its maintenance, is risk factors for the evaluated conditions38.

In this research, it is important to note that a good part of the pregnant women studied had more than 4 years of study, without association of the outcome studied with this variable, nor with the other socioeconomic variables evaluated. This fact can be justified by the homogeneity of the studied sample, since all the pregnant women come from the public health network of the municipality. However, in the study carried out with pregnant women in two municipalities of the state of Rio de Janeiro, it was observed that the higher the schooling in years of study, the greater the chance of overweight during pregnancy9. In another study, in southern Iran, the proportion of excessive weight gain was lower among pregnant women with higher education (> 12 years)39.

In the present study, there was no association between excessive weight gain in pregnancy and high energy, macronutrient and fiber consumption. However, studies relate inadequate dietary patterns during pregnancy with excessive weight gain in this period40,41 with an association between increased dietary energy density and the food pattern characterized by fast food foods (sweets, chocolates, processed meat, others) in the gestational period with increased weight gain at the end of pregnancy. This suggests that processed foods measure an aspect of diet that is independent of total energy and total fat intake41.

In addition, in a previous study, a positive association between energy intake and maternal weight gain was observed until the end of the gestational, as well as the carbohydrate intake or consumption of monosaccharide and saccharose was taken into account42. In the study Pathirathna et al.43 suggest that second trimester maternal carbohydrate intake has significant impacts on total gestational weight gain and neonatal birth weight. In a study carried out in Porto Alegre (RS), they highlight the effective interventions used to reduce the speed of weekly weight gain in overweight pregnant women. The prevalence of overweight pregnant women who gained more than 10 kg in 20 weeks was higher (RR = 0.4; 95% CI = 0.19-0.96) in the control group (29.1%), when compared to the Intervention group (12.5%)44. In particular, consumption of ample vegetables, fruits, whole grains, and lean meats, and limited consumption of alcohol, caffeine and foods high in saturated fat during pregnancy has been recommended45,46. Evidence has emerged showing that consumption of foods high in sugar47, saturated fat48 and sodium49 during pregnancy can be particularly harmful to both the pregnant woman and their neonates. The study by Drehmer et al.50, it was seen that an inadequate consumption of fiber increases the risk of weight gain, foods with a high fiber content have been proposed to be more satiating, reduce hunger and decrease energy intake. Thus, it is incumbent upon health professionals to focus on gestational weight gain, as well as to encourage the practice of healthy eating and promote educational actions that lead to their promotion, because the idea of “eating for two” during pregnancy still prevails, even though it has no scientific basis, thus favoring excessive weight gain51.

There is a need to conduct longitudinal and population-based studies to better clarify the problem, since the recognition and control of these factors may contribute to the prevention of possible complications during pregnancy.

In view of the above, it is evident the importance of nutritional care not only during pregnancy, but also in the pre-gestational period, considering that the maternal nutritional status prior to gestation and the gestational weight gain have a great influence on the health of the mother-fetus. Therefore, during the prenatal routine that occurs in basic care, special zeal must be used in the food consumption of these women with the objective of promoting the health of this public; as well as in the postpartum period, where the retention of the acquired weight may constitute a risk factor for the development of chronic diseases, besides the incorporation of such risks for a future pregnancy38,52.

Additionally, in their study, Swift et al.53 pointed out that adequate nutritional care in prenatal care provides a window of opportunity for the development of improvements in the food standard, specifically benefiting the mother-child binomial. Furthermore, Claesson et al.54 observed in their study that a prenatal follow-up in an appropriate gestational weight gain program seems to have a positive effect on the woman’s weight in up to six years postpartum, preventing complications and future risks.

Conclusion

There was a high frequency of excessive gestational weight gain among pregnant women in Maceió, with an association between this variable with maternal hyperglycemia. It is important a monitoring nutritional status during gestation and before and after it, especially in overweight women, in order to minimize possible gestational complications, and the need to monitor weight retention in the postpartum period and an adequate recovery of nutritional status. The identification of the maternal nutritional diagnosis, including the food consumption, and the monitoring of the weight gain during pregnancy should be actions instituted effectively in the prenatal routine. The results of the present study serve as subsidies for effective decision making and implementation of public policies in the SUS.

Acknowledgment

To the Ministry of Health, to the National Scientific and Technological Development (CNPq), the Secretariat of Health of Alagoas (SESAU-AL) and to the Foundation for Research Support of the State of Alagoas (FAPEAL) for financial support; as well as to the interviewers responsible by the data collections and the Municipal Health Department Municipality of Maceió for technical and logistical support.

References

1 Santos MMAS, Baião MR, Barros DC, Pinto AA, Pedrosa PM, Saunders C. Estado nutricional pré-gestacional, ganho de peso materno, condições da assistência pré-natal e desfechos perinatais adversos entre puérperas adolescentes. Rev Bras Epidemiol 2012; 15(1):143-154. [ Links ]

2 Rasmussen KM, Yaktine AL, Institute of Medicine, National Research Council; Committee to Reexamine IOM Pregnancy Weight Guidelines. Weight gain during pregnancy: reexamining the guidelines. Washington: National Academies Press; 2009. [ Links ]

3 Brasil. Ministério da Saúde (MS). [Internet]. Orientações para a coleta e análise de dados antropométricos em serviços de saúde: Norma Técnica do Sistema de Vigilância Alimentar e Nutricional-SISVAN. Brasília: MS; 2011. [cited 2017 Mar 4]. Available from: http://bvsms.saude.gov.br/bvs/publicacoes/orientacoes_coleta_analise_dados_antropometricos.pdfLinks ]

4 Triunfo S, Lanzone A. Impact of overweight and obesity on obstetric outcomes. J Endocrinol Invest 2014; 37(4):323-329. [ Links ]

5 Zhao R, Xu L, Wu ML, Huang SH, Cao XJ. Maternal pre-pregnancy body mass index, gestacional weight gain influence birth weight. Women and Birth 2018; 31(1):e20-e25. [ Links ]

6 Çalik KY, Yildiz NK, Erkaya R. Effects of gestacional weight gain and body mass index on obstetric outcome. Saudi J Biol Sci 2018; 25(6):1085-1089. [ Links ]

7 Jebeile H, Mijatovic J, Louie JCY, Prvan T, Brand-Miller JC. A systematic review and metaanalysis of energy intake and weight gain in pregnancy. Am J Obst Gynecol 2016; 214(4):465-483. [ Links ]

8 Kowal C, Kuk J, Tamim H. Characteristics of weight gain in pregnancy among Canadian women. Matern Child Health J. 2012; 16(3):668-676. [ Links ]

9 Marano D, Gama SGN, Pereira APE, Paulo Souza RB. Adequação do ganho ponderal de gestantes em dois municípios do Estado do Rio de Janeiro (RJ), Brasil, 2008. Rev Bras Ginecol Obstet 2012; 34(8):386-393. [ Links ]

10 Instituto Brasileiro de Geografia e Estatística (IBGE). Cidades@ [Internet]. Rio de Janeiro: IBGE; 2014 [cited 2016 Apr 09]. Avaliable from: http://www.cidades.ibge.gov.br/painel/painel.php?lang=&codmun=270430&search=%7C%7Cinfogr%E1ficos:-dados-gerais-do-munic%EDpioLinks ]

11 Assunção PL, Melo ASO, Gondim SSR, Benício MHD, Amorim MMR, Cardoso MMA. Ganho ponderal e desfechos gestacionais em mulheres atendidas pelo Programa de Saúde da Família em Campina Grande, PB (Brasil). Rev Bras Epidemiol 2007; 10(3):352-360. [ Links ]

12 International Life Science Institute do Brasil (ILSI Brasil). Uso e aplicações das "Dietary Reference Intakes" DRIs. São Paulo: ILSI Brasil; 2001. [ Links ]

13 National Academy Press. Dietary reference intakes for vitamin A, vitamin K, arsenic, boron, chromium, copper, iodine, iron, manganese, molybdenum, nickel, silicon, vanadium, and zinc. Washington: National Academy Press; 2002. [ Links ]

14 Food and Agriculture Organization (FAO), World Health Organization (WHO), United Nations University (UNU). Human energy requirements: report of a joint FAO/WHO/UNU expert consultation. FAO. Food and nutrition technical report series. ISSN 1813-3932. Rome, 17-24 oct, 2001. Geneva: FAO/WHO/ONU; 2004. [ Links ]

15 Institute of Medicine. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. Washington: National Academy Press; 2005. [ Links ]

16 VI Diretriz Brasileira de Hipertensão Arterial. Arq Bras Cardiol. 2010; 95(1 Supl.1):1-5. [ Links ]

17 Benoist B, McLean E, Egli I, Cogswell M. World wilde prevalence of anaemia 1993-2005: WHO Global Database on Anaemia. Geneva: WHO; 2008 [ Links ]

18 Oliveira JEP, Vencio S, organizadores. Diretrizes da Sociedade Brasileira de Diabetes: 2014-2015. São Paulo: AC Farmacêutica; 2014. [ Links ]

19 Diemert A, Lezius S, Pagenkemper M, Hansen G, Drozdowska A, Hecher K, Arck P, Zyriax BC. Maternal nutrition, inadequate gestational weight gain and birth weight: results from a prospective birth cohort. BMC Pregnancy and Childbirth 2016; 16:224. [ Links ]

20 Marmitt LP, Gonçalves CV, Cesar JA. Healthy gestational weight gain prevalence and associated risk factors: A population-based study in the far South of Brazil. Rev Nutr 2016; 29(4):445-455. [ Links ]

21 Tavares JS, Melo ASO, Amorim MMR, Barros VO, Benício MHD, Takito MY, Cardoso MAA. Associação entre o padrão de atividade física materna, ganho ponderal gestacional e peso ao nascer em uma coorte de 118 gestantes no município de Campina Grande, Nordeste do Brasil. Rev Assoc Med Bras 2009; 55(3):335-341. [ Links ]

22 Drehmer M, Camey S, Schmidt MI, Olinto MTA, Giacomello A, Buss C. Socioeconomic, demographic and nutritional factors associated with maternal weight gain in general practices in Southern Brazil. Cad Saude Publica 2010; 26(5):1024-1034. [ Links ]

23 Seabra G, Padilha PC, Queiroz JA, Saunders C. Sobrepeso e obesidade pré-gestacionais: prevalência e desfechos associados à gestação. Rev Bras Ginecol Obstet 2011; 33(11):348-353. [ Links ]

24 Reynolds M, Osmond C, Phillips DIW, Godfrey KM. Maternal BMI, Parity, and Pregnancy Weight Gain: Influences on Offspring Adiposity in Young Adulthood. J Clin Endocrinol Metab 2010; 95(12):5365-5369. [ Links ]

25 Talbot L, Maclennan K. Physiology of pregnancy. Anasthesia & Intensive Care Medicine 2016; 17(7):341-345. [ Links ]

26 Li S, Li X. Leptin in normal physiology and leptin resistance. Science Bulletin 2016; 61(19):1480-1488. [ Links ]

27 Martins MC, Trujillo J, Farias DR, Kac G. Polymorphisms in the leptin (rs7799039) gene are associated with an increased risk of excessive gestational weight gain but not with leptin concentration during pregnancy. Nutr Res 2017; 47:53-62. [ Links ]

28 Chodankar R, Middleton G, Lim G, Mahmood T. Obesity in pregnancy. Obstetrics, Gynaecology & Reproductive Medicine 2018; 28(2):53-56. [ Links ]

29 Schneider CR, Biggio JR, Chandler-Laney PC. Association of early pregnancy body mass index with post-partum weight change among African-American women. Clin Obes 2018; 8(3):170-175. [ Links ]

30 Abdel-Aziz SB, Hegazy IS, Mohamed DA, Abu EL Kasem MMA, Hagag SS. Effect of dietary counseling on preventing excessive weight gain during pregnancy. Public health 2018; 154:172-181. [ Links ]

31 Marchi J, Berg M, Dencker A, Olander EK, Begley C. Risks associated with obesity in pregnancy, for the mother and baby: a systematic review of reviews. Obes Rev 2015; 16(8):621-638. [ Links ]

32 Zhao R, Xu L, Wu ML, Huang SH, Cao XJ. Maternal pre-pregnancy body mass index, gestational weight gain influence birth weight. Women and Birth 2017; 31(1):e20-e25. [ Links ]

33 Oliveira ACM, Santos AA, Bezerra AR, Barros AAR, Tavares MCM. Fatores Maternos e Resultados Perinatais Adversos em Portadoras de Pré-eclâmpsia em Maceió, Alagoas. Arq Bras Cardiol 2016; 106(2):113-120. [ Links ]

34 HAPO Study Cooperative Research Group. Hyperglycaemia and Adverse Pregnancy Outcome (HAPO) study: associations with maternal body mass index. BJOG 2010; 117(5):575-584. [ Links ]

35 Zhong C, Li X, Chen R, Zhou X, Liu C, Wu J, Xu S, Wang W, Xiao M, Xiong G, Wang J, Yang X, Hao L, Yang N. Greater early and mid-pregnancy gestational weight gain are associated with increased risk of gestational diabetes mellitus: A prospective cohort study. Clin Nutr ESPEN 2017; 22:48-53. [ Links ]

36 Moore STA, Waring ME, Callaghan K, Leung K, Ward Harvey M, Buabbud A, Chasan-Taber L. Weight gain in early pregnancy and risk of gestational diabetes mellitus among Latinas. Diabetes Metab 2017; 45(1):26-31. [ Links ]

37 Brasil. Ministério da Saúde (MS). Vigitel Brasil 2017: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico. Brasília: MS; 2017. [ Links ]

38 Tebanni F, Oulamara H, Agli A. Effects of gestational weigth gain on pregnancy complications. Nutrition Clinique et Métabolisme. 2018; 32(1):27-32. [ Links ]

39 Tabatabaei M. Gestational weight gain, pre-pregnancy body mass index related to pregnancy outcomes in Kazerun, Fars, Iran. J Prenat Med 2011; 5(2):35-40. [ Links ]

40 Martins APB, Benicio MHD. Influência do consumo alimentar na gestação sobre a retenção de peso pós-parto. Rev Saude Publica 2011; 45(5):870-877. [ Links ]

41 Rohatgi KW, Tinius RA, Cade WT, Steele EM, Cahill AG, Parra DC. Relationships between consumption of ultra-processed foods, gestational weight gain and neonatal outcomes in a sample of US pregnant women. Peer J 2017; 7(5):e4091. [ Links ]

42 Diemert A, Lezius S, Pagenkemper M, Hansen G, Drozdowska A, Hecher K, Arck P, Zyriax BC. Maternal nutrition, inadequate gestational weight gain and birth weight: results from a prospective birth cohort. BMC Pregnancy and Childbirth 2016; 16:224. [ Links ]

43 Pathirathna ML, Sekijima K, Sadakata M, Fujiwara N, Muramatsu Y, Wimalasiri KMS. Impact of Second Trimester Maternal Dietary Intake on Gestational Weight Gain and Neonatal Birth Weight. Nutrients 2017; 9(6):627. [ Links ]

44 Vitolo MR, Bueno MSF, Gama CM. Impacto de um programa de orientação dietética sobre a velocidade de ganho de peso de gestantes atendidas em unidades de saúde. Rev Bras Ginecol Obstet 2011; 33(1):13-19. [ Links ]

45 National Health and Medical Research Council (NHMRC). National Health and Medical Research Council (NHMRC). Healthy eating during your pregnancy. 2013. [cited 2017 Mar 4]. Available from: https://www.eatforhealth.gov.au/sites/default/files/files/the_guidelines/n55h_healthy_eating_during_pregnancy.pdfLinks ]

46 National Health Service (NHS). National Health Service (NHS). Foods to avoid in pregnancy. 2017. [cited 2017 Mar 4]. Available from: https://www.nhs.uk/conditions/pregnancy-and-baby/pages/foods-to-avoid- Pregnant.aspxhttps://www.nhs.uk/conditions/pregnancy-and-baby/pages/foods-to-avoid-pregnant.aspxLinks ]

47 Petherick ES, Goran MI, Wright J. Relationship between artificially sweetened and sugar-sweetened cola beverage consumption during pregnancy and preterm delivery in a multi-ethnic cohort: analysis of the Born in Bradford cohort study. Eur J Clin Nutr 2014; 68(3):404-407. [ Links ]

48 Park S, Kim MY, Baik SH, Woo JT, Kwon YJ, Daily JW, Park YM, Yang JH, Kim SH. Gestational diabetes is associated with high energy and saturated fat intakes and with low plasma visfatin and adiponectin levels independent of prepregnancy BMI. Eur J Clin Nutr 2013; 67(2):196-201. [ Links ]

49 Tay S, Blache D, Gregg K, Revell D. Consumption of a high-salt diet by ewes during pregnancy alters nephrogenesis in 5-month-old offspring. Animal 2012; 6:1803-1810. [ Links ]

50 Drehmer M, Camey SA, Nunes MA, Duncan BB, Lacerda M, Pinheiro AP, Schmidt MI. Fibre intake and evolution of BMI: from pre-pregnancy to postpartum. Public Health Nutr 2013; 16(8):1403-1413. [ Links ]

51 Pathirathna ML, Sekijima K, Sadakata M, Fujiwara N, Muramatsu Y, Wimalasiri K. Impact of Second Trimester Maternal Dietary Intake on Gestational Weight Gain and Neonatal Birth Weight. Nutrients 2017; 6:627. [ Links ]

52 Wilcox S, Liu J, Addy CL, Turner-McGrievy G, Burgis JT, Wingard E, Dahl AA, Whitaker KM, Schneider L, Boutté AK. A randomized controlled trial to prevent excessive gestational weight gain and promote postpartum weight loss in overweight and obese women: Health In Pregnancy and Postpartum (HIPP). Contemp Clin Trials 2018; 66:51-63. [ Links ]

53 Swift JA, Langley-Evans SC, Pearce J, Jethwa PH, Taylor MA, Avery A, Ellis S, McMullen S, Elliott-Sale KJ. Antenatal weight management: Diet, physical activity, and gestational weight gain in early pregnancy. Midwifery 2017; 49:40-46. [ Links ]

54 Claesson M, Josefsson A, Sydsjö G. Weight six years after childbirth: A follow-up of obese women in a weight-gain restriction programme. Midwifery 2014; 30(5):506-511. [ Links ]

Received: July 10, 2017; Accepted: November 26, 2018; Published: November 28, 2018

Collaborations

RC Ferreira and MCS Tenório participated in the collection and tabulation of data, the writing of the article and the final approval of the version to be published. CS Mello participated in the writing of the article and collaborated with the analysis and interpretation of the data. MB Tenório participated in the writing of the article and in the final approval of the version to be published. ACM Oliveira worked on the final writing and relevant critical review of the intellectual content.

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