<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0004-0622</journal-id>
<journal-title><![CDATA[Archivos Latinoamericanos de Nutrición]]></journal-title>
<abbrev-journal-title><![CDATA[ALAN]]></abbrev-journal-title>
<issn>0004-0622</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Latinoamericana de Nutrición]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0004-06222015000200003</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Association between maternal diet factors and hemoglobin levels, glucose tolerance, blood pressure and gestational age in a Hispanic population]]></article-title>
<article-title xml:lang="es"><![CDATA[Asociación entre los factores de la dieta y los niveles de hemoglobina, tolerancia a la glucosa, presión arterial y edad gestacional en una población hispana]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Soto]]></surname>
<given-names><![CDATA[Roxana]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Guilloty]]></surname>
<given-names><![CDATA[Natacha]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Anzalota]]></surname>
<given-names><![CDATA[Liza]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rosario]]></surname>
<given-names><![CDATA[Zaira]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cordero]]></surname>
<given-names><![CDATA[José F]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Palacios]]></surname>
<given-names><![CDATA[Cristina]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,University of Puerto Rico Medical Sciences Campus Graduate School of Public Health]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2015</year>
</pub-date>
<volume>65</volume>
<numero>2</numero>
<fpage>86</fpage>
<lpage>96</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S0004-06222015000200003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S0004-06222015000200003&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S0004-06222015000200003&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[The aim of this study was to describe the dietary patterns of pregnant women in northern Puerto Rico and explore associations between diet factors with pregnancy related measurements. This analysis is based on the Puerto Rico Testsite for Exploring Contamination Threats (PROTECT), a prospective cohort that is studying environmental risk factors for preterm births in PR. Participants completed a food frequency questionnaire (FFQ) around 20-28 weeks of gestation. The following pregnancy related measures were collected from the medical records: hemoglobin, blood glucose, blood pressure and gestational age. Potential associations between diet factors and pregnancy measures were assessed using chi square analysis with SPSS. A total of 180 participants completed the FFQ; low hemoglobin levels was found in 19.2%, high blood glucose levels was found in 21.1% by fasting blood glucose test and 24.6%by 1-hour 50 g oral glucose screening test, high blood pressure was found in 2.9% (systolic) and 6.5% (diastolic), and pre-term birth was found in 10.4% of the participants. High consumption of rice, desserts and sweets was associated with higher levels of fasting blood glucose levels (p<0.05), while high consumption of vegetables was associated with higher 1-hour glucose challenge test (p<0.05).No other significant associations were found. In conclusion, consumption of high dense energy food diets in pregnancy, such as rice, sweets and desserts, can lead to high levels of blood glucose and can be a potential predictor of other pregnancy complications during pregnancy in these study participants, such as gestational diabetes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[El objetivo de este estudio fue describir los hábitos alimentarios de mujeres embarazadas en Puerto Rico y explorar la asociación entre factores dietarios y medidas del embarazo. Este fue un análisis de datos basado en un estudio de cohorte prospectivo (PROTECT), que estudia los factores de riesgo ambientales para el embarazo pre-término en mujeres embarazadas. Las participantes completaron un cuestionario de frecuencia alimentaria (FFQ) en las semanas 20-28 de gestación. Los niveles de hemoglobina, glucosa en sangre, presión arterial y edad gestacional se recogieron de expediente médicos. Posibles asociaciones entre factores dietéticos y las medidas del embarazo fueron evaluadas usando Ji cuadrado en SPSS. Un total de 180 participantes completaron el FFQ; 19,2% tuvo bajos niveles de hemoglobina, 21.1% tuvo niveles altos de glucemia por prueba de glucosa en ayunas y 24,6% por prueba de tolerancia a la glucosa de 1 hora; la hipertensión arterial fue encontrada en 2,9% (sistólica) y 6,5% (diastólica) y nacimiento prematuro fue encontrado en 10,4%. Un alto consumo de arroz, postres y dulces se asoció con mayores niveles de glucosa en ayunas (p<0,05), mientras que el alto consumo de vegetales se asoció con mayor nivel de la prueba de tolerancia a la glucosa (p<0,05). No se encontró ninguna otra asociación significativa. En conclusión, el consumo de alimentos de alta densidad energética en el embarazo como arroz, postres y dulces pueden elevar los niveles de glucosa en sangre, lo cual puede ser un predictor potencial de complicaciones en el embarazo en estas participantes, como diabetes gestacional.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Pregnancy]]></kwd>
<kwd lng="en"><![CDATA[dietary patterns]]></kwd>
<kwd lng="en"><![CDATA[pregnancy related measurements]]></kwd>
<kwd lng="es"><![CDATA[Embarazo]]></kwd>
<kwd lng="es"><![CDATA[hábitos alimentarios]]></kwd>
<kwd lng="es"><![CDATA[medidas relacionadas al embarazo]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[   <b><font FACE="Verdana">     <p ALIGN="center">Association between maternal diet factors and hemoglobin  levels, glucose tolerance, blood pressure and gestational age in a Hispanic  population</p> </font><font FACE="Verdana" SIZE="2">     <p align="center">Roxana Soto, Natacha Guilloty, Liza Anzalota, Zaira Rosario,  José F. Cordero, Cristina Palacios</p> </font></b>     <p align="justify"><font size="2" face="Verdana">Graduate School of Public  Health, Medical Sciences Campus, University of Puerto Rico.</font></p>     <p align="justify"><b></b><font size="2" face="Verdana"><b>SUMMARY</b>. The aim  of this study was to describe the dietary patterns of pregnant women in northern  Puerto Rico and explore associations between diet factors with pregnancy related  measurements. This analysis is based on the Puerto Rico Testsite for Exploring  Contamination Threats (PROTECT), a prospective cohort that is studying  environmental risk factors for preterm births in PR. Participants completed a  food frequency questionnaire (FFQ) around 20-28 weeks of gestation. The  following pregnancy related measures were collected from the medical records:  hemoglobin, blood glucose, blood pressure and gestational age. Potential  associations between diet factors and pregnancy measures were assessed using chi  square analysis with SPSS. A total of 180 participants completed the FFQ; low  hemoglobin levels was found in 19.2%, high blood glucose levels was found in  21.1% by fasting blood glucose test and 24.6%by 1-hour 50 g oral glucose  screening test, high blood pressure was found in 2.9% (systolic) and 6.5% (diastolic),  and pre-term birth was found in 10.4% of the participants. High consumption of  rice, desserts and sweets was associated with higher levels of fasting blood  glucose levels (p&lt;0.05), while high consumption of vegetables was associated  with higher 1-hour glucose challenge test (p&lt;0.05).No other significant  associations were found. In conclusion, consumption of high dense energy food  diets in pregnancy, such as rice, sweets and desserts, can lead to high levels  of blood glucose and can be a potential predictor of other pregnancy  complications during pregnancy in these study participants, such as gestational  diabetes.</font></p>     <p align="justify"><b></b><font size="2" face="Verdana"><b>Key words</b>:  Pregnancy, dietary patterns, pregnancy related measurements.</font></p>     <p align="center"><b><font size="2" face="Verdana">Asociación entre los factores  de la dieta y los niveles de hemoglobina, tolerancia a la glucosa, presión  arterial y edad gestacional en una población hispana.</font></b></p>     <p align="justify"><font size="2" face="Verdana"><b>RESUMEN</b>: El objetivo de  este estudio fue describir los hábitos alimentarios de mujeres embarazadas en  Puerto Rico y explorar la asociación entre factores dietarios y medidas del  embarazo. Este fue un análisis de datos basado en un estudio de cohorte  prospectivo (PROTECT), que estudia los factores de riesgo ambientales para el  embarazo pre-término en mujeres embarazadas. Las participantes completaron un  cuestionario de frecuencia alimentaria (FFQ) en las semanas 20-28 de gestación.  Los niveles de hemoglobina, glucosa en sangre, presión arterial y edad  gestacional se recogieron de expediente médicos. Posibles asociaciones entre  factores dietéticos y las medidas del embarazo fueron evaluadas usando Ji  cuadrado en SPSS. Un total de 180 participantes completaron el FFQ; 19,2% tuvo  bajos niveles de hemoglobina, 21.1% tuvo niveles altos de glucemia por prueba de  glucosa en ayunas y 24,6% por prueba de tolerancia a la glucosa de 1 hora; la  hipertensión arterial fue encontrada en 2,9% (sistólica) y 6,5% (diastólica) y  nacimiento prematuro fue encontrado en 10,4%. Un alto consumo de arroz, postres  y dulces se asoció con mayores niveles de glucosa en ayunas (p&lt;0,05), mientras  que el alto consumo de vegetales se asoció con mayor nivel de la prueba de  tolerancia a la glucosa (p&lt;0,05). No se encontró ninguna otra asociación  significativa. En conclusión, el consumo de alimentos de alta densidad  energética en el embarazo como arroz, postres y dulces pueden elevar los niveles  de glucosa en sangre, lo cual puede ser un predictor potencial de complicaciones  en el embarazo en estas participantes, como diabetes gestacional.</font></p>     <p align="justify"><font size="2" face="Verdana"><b>Palabras clave</b>:  Embarazo, hábitos alimentarios, medidas relacionadas al embarazo.</font></p>     <p align="justify"><font size="2" face="Verdana">Recibido: 14-11-2014 Aceptado:  28-02-2015</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><b><font size="2" face="Verdana">INTRODUCTION</font></b></p>     <p align="justify"><font size="2" face="Verdana">Adequate nutrition is important  in all life stages, but in pregnancy, is critical to the mother and the fetus.  Good nutrition should start in the pre-conceptional period and continued  throughout pregnancy in order to optimize health and reduce the risk of  pregnancyrelated complications. Maternal nutrition during pregnancy has been  shown to have a large positive as well negative influence in pregnancy,  including gestational duration, onset of gestational diabetes, hypertension and  other outcomes (1).</font></p>     <p align="justify"><font size="2" face="Verdana">Globally, almost half of  pregnant women have iron deficiency (2) and it has been estimated that  gestational diabetes (GDM) affects more than15% of pregnant women(3), while  preeclampsia affects 5-10% of pregnancies and is responsible for approximately  50,000 maternal deaths per year worldwide (4). Additionally, nearly15 million  infants are born prematurely throughoutthe world, and the US is one of the top  ten countries with higher numbers of pre-term births (5). In Puerto Rico, the  prevalence of anemia in the third trimester of pregnancy is high, reported  at41%in 2009 (6). Hypertension was found in 43.9% of women of 18 years and older  in 2013(7). The prevalence rate of GDM in Hispanics in the US is among the  second highest compared to other ethnic groups (8). Prematurity among Puerto  Rican women living in the U.S. in 2010 reached 13.5% (5), while among women  residing in Puerto Rico, during the same year, the prematurity rate was higher,  reaching 16.7% (9).</font></p>     <p align="justify"><font size="2" face="Verdana">Diet plays an important role  and it is a modifiable factor for reducing the risk of some pregnancyrelated  complications. Studies have found that high energy consumption, together with a  high intake of carbohydrates (i.e. refined foods),are dietary risk factors for  the development of GDM, while foods low in refined carbohydrates and high in  fiber reduce hyperglycemia and also reduce the risk of cesarean deliveries (10).  In addition, diets high in cereals, refined carbohydrates, sugar sweetened  beverages, processed meats and salty snacks are directly associated with pre-eclampsia  (11-13) while use of calcium supplements (14) and folic acid (15) is inversely  associated with pre-eclampsia. With respect to preterm delivery, regular fish  consumption and use of calcium supplements has been shown to reduce its risk  (16), while coffee consumption, sugar-sweetened beverages and the use of  artificial sweeteners increases its risk (17, 18). Furthermore, studies show  that anemia is inversely related to red meat consumption and use of vitamin C  and iron supplements (19).</font></p>     <p align="justify"><font size="2" face="Verdana">Little is known about the role  of dietary patterns in Hispanic pregnant women and no study has assessed the  association between dietary patterns and pregnancy-related measurements in  Puerto Rican women. Therefore, the aim of this study was to describe the dietary  patterns in Puerto Rican pregnant women and analyze the association between  specific protective and non-protective diet factors and pregnancy related  measurements, such as blood glucose, blood pressure, hemoglobin levels and  gestational age. Results from this study could help design interventions to  improve the diet quality of Puerto Rican pregnant women.</font></p>     <p align="justify"><b><font size="2" face="Verdana">MATERIALS AND METHODS</font></b></p>     <p align="justify"><b><font size="2" face="Verdana">Study Design</font></b></p>     <p align="justify"><font size="2" face="Verdana">PROTECT is a prospective cohort  study that recruits pregnant women residing in the northern karst area of Puerto  Rico to be followed to completion of pregnancy. Its primary aim is to examine  the role of environmental factors, such as phthalates, on the risk of preterm  pregnancies. Eligible study subjects are healthy pregnant women 18 to 45 years  of age, who reside in a municipality of the northern karst area of Puerto Rico  are less than 20 weeks gestation, plan to deliver in a participating hospital,  and do not have any of the study exclusion criteria (described below). Most  pregnant women are recruited on or before 12 weeks gestation. Data are collected  through questionnaires administered at three intervals of gestation, 16 to 20  weeks, 20 to 24 weeks, and 24 to 28 weeks. Biological samples are also obtained  at those three pregnancy intervals and research nurses conduct interviews using  standardized questionnaires. Medical records are reviewed and data abstracted at  the same intervals and following completion of pregnancy.</font></p>     <p align="justify"><font size="2" face="Verdana">PROTECT aims to recruit 1,800  pregnant women, which would provide sufficient statistical power to detect an  association between phthalate levels and the risk of preterm. No estimates of  power were made for this secondary analysis because it is an exploratory study  about possible associations between maternal diet factors and hemoglobin levels,  glucose tolerance, blood pressure and gestational age among a group of Hispanic  women. The study was approved by the MSC-UPR Institutional Review Board and all  participants provided written consent to participate in the study.</font></p>     <p align="justify"><b><font size="2" face="Verdana">Study population</font></b></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">At the moment this secondary  analysis was performed, a total of 721 pregnant women had been recruited and  followed by the PROTECT program from February 2011 to February 2014. Potentially  eligible study subjects were screened for exclusions to participation that  include a history of specific pregnancy complications, such as threatened  abortion, vaginal bleeding or severe abdominal pain (undiagnosed), diabetes,  heart disease, liver disease diagnosed before pregnancy, high blood pressure,  nephropathy, neuropathy and surgery during the current pregnancy. Other  exclusion criteria included: (a) taking oral contraceptives less than three  months before conception; (b) current pregnancy resulting from assistive  reproductive technology and; (c) having a chronic medical condition under  treatment, or a pregnancy complication, such as placenta previa. These analyses  included a total of 180 study subjects that had completed their pregnancy and  had completed the Food Frequency Questionnaire (FFQ).</font></p>     <p align="justify"><b><font size="2" face="Verdana">Data collection</font></b></p>     <p align="justify"><font size="2" face="Verdana">The PROTECT pregnancy follow up  includes administering standard questionnaires at three specific gestational  window, Visit 1 (16-20 weeks), Visit 2, (20-24 weeks), and Visit 3 (24-28 weeks).  The questionnaires for visits 1 and 3 were administered during prenatal care  visits at the clinic; visit 2 was conducted during a home visit. In addition,  medical record data abstraction by trained personnel was conducted during all  three gestational windows and for labor and delivery. The questions used in the  PROTECT questionnaires were derived from previously field-tested surveys, the  National Health Interview Survey, the National Health and Nutrition Examination  Survey (NHANES), and the Birth Defects Prevention Study. All three had Spanish  versions that have been field-tested as well.</font></p>     <p align="justify"><font size="2" face="Verdana">First Visit: This questionnaire  obtained data on socio-demographic characteristics of the mother, such as years  of maternal education and family annual income. For this study it was  categorized as &lt;$20,000 or &#8805;$20,000, based on the poverty index by size of  family and number of related children &lt;18 years in 2012 in Puerto Rico.</font></p>     <p align="justify"><font size="2" face="Verdana">Second Visit: A semi-quantitative  FFQ was provided to the participants to be completed at home and to bring back  during the third visit. Participants also completed other questionnaires for the  main study.</font></p>     <p align="justify"><font size="2" face="Verdana">Third Visit: The FFQ was  collected and a third questionnaire on prenatal exposures and complications was  administered. At this visit, key data abstracted from the medical record  included hemoglobin and blood glucose levels.</font></p>     <p align="justify"><font size="2" face="Verdana">Delivery and Postpartum: Data  abstracted from the medical record included date of delivery and gestational age.</font></p>     <p align="justify"><b><font size="2" face="Verdana">Pregnancy-related  measurements</font></b></p>     <p align="justify"><font size="2" face="Verdana">Anemia: Anemia was defined as  hemoglobin level &lt;11 g/dL, following the World Health Organization criteria, and  based on maternal hemoglobin levels obtained at 16-20 weeks of pregnancy (2).</font></p>     <p align="justify"><font size="2" face="Verdana">Glucose metabolism: Results  from the glucose challenge test (GCT) and fasting glucose tolerance test (FBS)  were taken from medical records, which are routinely measured at 24-28 weeks of  gestation to identify women who may have gestational diabetes. GCT was  categorized as adequate levels (&lt;140 mg/dL) or high levels (&gt;140 mg/dL) and FBS  as adequate levels (&lt;95mg/dL) or high levels (&gt;95 mg/dL).</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">Blood pressure levels: these  were taken from the medical record in the last routine prenatal visit. High  systolic blood pressure was defined as &gt;140 mmHg and high diastolic blood  pressure as &gt;90 mmHg.</font></p>     <p align="justify"><font size="2" face="Verdana">Gestational Age: Pre-term birth  was defined as a gestational age less than 37 weeks (5). In the 80% of subjects  with a sonogram prior to 20 weeks, the gestational age was based on the sonogram,  for the remainder, gestational age was based on the reported last menstrual  period. These data were obtained from the medical records abstraction.</font></p>     <p align="justify"><b><font size="2" face="Verdana">Food Frequency Questionnaire  (FFQ):</font></b></p>     <p align="justify"><font size="2" face="Verdana">A semi-quantitative FFQ to  assess the dietary patterns was given to participants in the second visit to  complete at home and bring back at the third visit. This FFQ was validated for  its use in Puerto Ricans adults living in Puerto Rico (20). It was modified and  adapted from the original FFQ developed for Puerto Ricans living in Boston,  Massachusetts (21). The data obtained were the summary questions of the  following food groups and supplements: fruits, vegetables, fish, cereals, dairy  products, red meat, sugar-sweetened beverages, calcium, iron, vitamin C and  multivitamin containing folic acid, which were examined in this analysis.</font></p>     <p align="justify"><b><font size="2" face="Verdana">Statistical Analysis</font></b></p>     <p align="justify"><font size="2" face="Verdana">Univariate analysis was  performed in terms of means and standard or percent deviation to describe the  socio demographic factors (age, education and annual household income) and  measures related to pregnancy (hemoglobin, fasting glucose, glucose 1 hour,  blood pressure and gestational length).</font></p>     <p align="justify"><font size="2" face="Verdana">To describe the dietary factors  of the participants, the percentage frequency of consumption (daily, weekly or  monthly) of the following food groups was used: fruits, vegetables, fish, meat,  cereals, grains and starchy vegetables, rice, sweets, milk, coffee, juice 100%  natural, fruit drinks, sweetened beverages and supplements use like calcium,  iron, folic acid, multivitamins and vitamin C.</font></p>     <p align="justify"><font size="2" face="Verdana">Continuous variables were  categorized for use in bivariate statistical analysis. Bivariate analyses were  performed to analyze the association between frequency of consumption of  selected food groups and measures related to pregnancy. The chi-square of  Pearson or Fisher's exact test was performed if any of the expected cell was  less than 5 was used.The statistical program SPSS version 20 with a significance  level of p &lt;0.05 was used.</font></p>     <p align="justify"><b><font size="2" face="Verdana">RESULTS</font></b></p>     <p align="justify"><font size="2" face="Verdana">Most participants in this  analysis were 18-29 years old (64.6%), had completed a high school degree  (83.8%) and had an annual income below $20,000 per family (65.0%; <a href="#tab1">Table 1</a>). Low hemoglobin levels was present in 19.2%, high  blood glucose levels was found in 21.1% using FBS and 24.6% using GCT, high  blood pressure was found in 2.9% using systolic and 6.5% using diastolic as the  reference method. Among all participants, 10.4% were born preterm (<a href="#tab1">Table  1</a>).</font></p>     ]]></body>
<body><![CDATA[<p align="center"><a name="tab1"> <img border="0" src="/img/fbpe/alan/v65n2/art03tab1.gif" width="375" height="672"></a></p>     
<p align="justify"><font size="2" face="Verdana">Most participants consumed  fruits, starchy vegetables, grains, and milk weekly or more frequently, while  most consumed vegetables, fish and meat monthly or rarely. Rice and desserts and  sweets were consumed by most weekly or less frequently. Milk, coffee, 100% fruit  juices and soft drinks were consumed by most weekly or more frequently, while  fruit drinks were consumed by most with a daily frequency. Almost all of the  participants used multivitamins, while the use of calcium, iron, folic acid and  vitamin C individually was very low (<a href="#fig1">Figure 1</a>).</font></p>     <p align="center"><a name="fig1"> <img border="0" src="/img/fbpe/alan/v65n2/art03fig1.gif" width="465" height="1025"></a></p>     
<p align="justify"><font size="2" face="Verdana">No significant associations  were observed between any of the diet factors studied and hemoglobin levels (<a href="#tab2">Table  2</a>). No significant associations were observed between fruits, vegetables,  meats, cereals, 100% fruit juices, fruit drinks and soft drinks with fasting  glucose levels (<a href="#tab3">Table 3</a>). Women who consumed desserts and  sweets daily were more likely to be classified as having high fasting glucose  levels(68.8%), compared to those women who consumed these foods less frequently  (31.2%; p=0.038). Similarly, women who consumed rice daily were more likely to  be classified as having high fasting glucose levels (73.3%) compared to those  women who consumed these foods less frequently (26.7%; p=0.023). In the case of  1-hour GCT, women who consumed vegetables weekly or more frequently were more  likely to have higher glucose levels (60.5%), compared to those who consumed  vegetables monthly or less frequently (39.5%, p=0.008) (<a href="#tab3">Table 3</a>)</font></p>     <p align="center"><a name="tab2"> <img border="0" src="/img/fbpe/alan/v65n2/art03tab2.gif" width="379" height="893"></a></p>     
<p align="center"><a name="tab3"> <img border="0" src="/img/fbpe/alan/v65n2/art03tab3.gif" width="517" height="805"></a></p>     
<p align="justify"><font size="2" face="Verdana">No significant associations  were observed between the consumption of the foods studied and high systolic or  diastolic blood pressure. Also, no associations were found between blood  pressure and the frequency of consumption of the following foods: cereal, milk,  100% fruit juice and fruit beverage (data not shown). However, a marginally  significant association was observed with consumption of meats, whereas those  who consumed meats monthly or less frequently were more likely to have higher  systolic blood pressure (53.3%), compared to those who consumed meats more  frequently (46.7%; p=0.064). In addition, those who consumed vegetables monthly  or less frequently were more likely to have high diastolic blood pressure levels  (81.8%), compared to those who consumed vegetables more frequently (18.2%,  p=0.060) (<a href="#tab4">Table 4</a>). No significant associations were  observed between the diet factors studied and gestational age (<a href="#tab5">Table  5</a>).</font></p>     <p align="center"><a name="tab4"> <img border="0" src="/img/fbpe/alan/v65n2/art03tab4.gif" width="523" height="756"></a></p>     
<p align="center"><a name="tab5"> <img border="0" src="/img/fbpe/alan/v65n2/art03tab5.gif" width="504" height="346"></a></p>     
<p align="justify"><b><font size="2" face="Verdana">DISCUSSION</font></b></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">These analyses showed that  daily consumption of desserts, sweets, and rice, were associated with higher  fasting glucose levels, while consumption of vegetables weekly or more  frequently was associated with higher 1-hour GCTlevels, but no significant  associations were detected between the diet factors studied and hemoglobin,  blood pressure or gestational age in this group of pregnant women.</font></p>     <p align="justify"><font size="2" face="Verdana">Only a small percent of the  sample had low hemoglobin levels, which was lower compared to a PNSS report in  2009 (6), in which 41% had anemia (low hemoglobin levels). On the contrary, we  found a higher prevalence of high glucose levels in the present sample compared  to data from NHANES in Mexican- American women aged 20-39 years, which was 12.0%  (22). High blood pressure levels in the present sample was also much lower  compared to the report from the BRFSS in 2013 (7), in which 43.9% of women of 18  years and older reported to have high blood pressure levels. Similarly, pre-term  birth was lower compared to data reported in Puerto Rican women, which have  reported levels as high as 16.7% (9).</font></p>     <p align="justify"><font size="2" face="Verdana">In this study, women who  consumed desserts, sweets and rice daily were more likely to be classified as  having high fasting blood glucose levels. This can be explained by the high  glycemic index (GI) values of these foods. The GI relates to how much a food  raises blood sugar. Consumption of white rice as a staple food is a risk factor  for developing diabetes and metabolic syndrome in adults from Puerto Rico (23).  These results are consistent with studies in Asian pregnant women (24) and in  Hispanic women (25), in which consumption of high-energy group foods, such as  carbohydrates and energy-dense snacks was a risk factor for the development of  GDM. In addition, a study in a group of Hispanic pregnant women with GDM that  received an intervention diet to limit energy intake and increase consumption of  complex carbohydrates and low GI foods for 4 months, found that consumption of  low glycemic foods could help to control glucose levels in plasma as well as GDM  (10). We also found that women who consumed vegetables weekly or more frequently  were more likely to be classified as having high levels of 1-hour oral glucose  challenge test. These results are not consistent with other studies (26). A  possible explanation is that most of the vegetables consumed by participants  were lettuce, tomato, onion and corn. Some of these vegetables have more sugar  and less fiber, and therefore, a higher GI compared to other vegetables with  lower GI and higher fiber content. For example, sweet corn has a mean GI of  about 60. In addition, in individuals with type 1 diabetic, consumption of  lettuce and tomatoes did not improve blood sugar levels compared to other high  fiber vegetables, such as broccoli, artichokes and mushrooms (27). More research  is needed to differentiate the type of vegetables consumed and cooking methods  in these associations.</font></p>     <p align="justify"><font size="2" face="Verdana">We did not find an association  between consumption of vegetables, starchy vegetables and grains, milk, fish,  meat and supplements use, such as iron and vitamin C, with hemoglobin levels.  Other studies have found that the consumption of fish and lean red meats were  inversely associated with the development of anemia (28), as well iron and  vitamin C supplementation (19). In addition, we did not find an association  between consumption of fruits, cereal, meats, fish, milk, sugar sweetened  beverages and use of multivitamins and folic acid supplements with blood  pressure levels. On the contrary, other studies have found that a higher  consumption of cereals (4), sugar-sweetened beverages (13), and red meats (12)  are directly associated with higher blood pressure levels, while consumption of  fruits and vegetables (12), fish (29) and folic acid and multivitamin use (15)  are inversely associated with higher blood pressure levels. A recent study in  191 Brazilian pregnant women, in which three major dietary patterns were found  in the sample (healthy, processed or typical), no associations were found with  any of the patterns and blood pressure during pregnancy but those consuming less  processed foods had lower systolic blood pressure post-partum (30). However, in  the present study, a marginal significant association (p=0.060) was observed in  that those consuming vegetables less frequently were more likely to have higher  diastolic blood pressure levels. These findings are consistent with other  studies (12).</font></p>     <p align="justify"><font size="2" face="Verdana">With respect to gestational age,  we did not find significant associations with the consumption of fish, coffee,  sugar-sweetened beverages and calcium supplementation and this variable. Other  studies have found that consumption of fish (16) and calcium supplementation  (14) are associated with longer gestational period and reduction in the risk of  pre-term birth, while consumption of coffee (17) and artificial sweetened  beverages (18) are associated with preterm delivery.</font></p>     <p align="justify"><font size="2" face="Verdana">A possible explanation for the  lack of associations between the frequency of consumption of these food groups  and some of the pregnancy related complications measured in this study is that  participants may have sub-reported food consumption in the questionnaire as it  was self-administered. Also, the questionnaire did not allow distinguishing if  the food was fresh or frozen, or which type of cooking method was used, which  was a limitation of this study. In addition, many women did not complete the FFQ.  Furthermore, most participants were healthy, so the number of participants  experiencing any abnormal levels in the outcomes studied was rather low. Also,  the use of a convenience sample and the crosssectional design of our study does  not allow us to infer causality or to generalize our findings to other groups of  pregnant women.</font></p>     <p align="justify"><font size="2" face="Verdana">In conclusion, high consumption  of rice and desserts and sweets, which are high glycemic foods, were associated  with higher blood glucose levels. In this Hispanic population, white rice is a  main staple of the diet. Therefore, interventions in Puerto Rico should target  reducing white rice consumption, as well as desserts and sweets, during  pregnancy for controlling blood glucose levels. With simply exchanging refined  carbohydrates with their whole grain version, which are lower in their glycemic  index and higher in their fiber content, many pregnant women could maintain  blood sugar at optimal levels, which could potentially help reduce development  of GDM. However, more studies are needed to confirm these results.</font></p>     <p align="justify"><b><font size="2" face="Verdana">REFERENCES</font></b></p>     <!-- ref --><p align="justify"><font size="2" face="Verdana">1. Grieger JA, Grzeskowiak LE,  Clifton VL. Preconception Dietary Patterns in Human Pregnancies Are Associated  with Preterm Delivery. J Nutr 2014; 144:1075-80.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=529595&pid=S0004-0622201500020000300001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><p align="justify"><font size="2" face="Verdana">2. DeBenoist B, Mc Lean E, Egli  E, Cogswell M. Worldwide prevalence of anaemia 2003-2005. Geneva: World Health  Organization; 2008.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">3. Gestational Diabetes  [Internet]; 2014. Available from: <a href="http://www.idf.org/gestational-diabetes"> http://www.idf.org/gestational-diabetes</a>.</font></p>     <p align="justify"><font size="2" face="Verdana">4. Reyes L, Garcia R, Ruiz S,  Dehghan M, López- Jaramillo P. Nutritional status among women with pre-eclampsia  and healthy pregnant and non-pregnant women in a Latin American country. Journal  of Obstetrics &amp; Gynaecology Research 2012;38:498-504.</font></p>     <p align="justify"><font size="2" face="Verdana">5. Blencowe H, Cousens S,  Oestergaard MZ, Chou D, Moller AB, Narwal R, et al. National, regional, and  worldwide estimates of preterm birth rates in the year 2010 with time trends  since 1990 for selected countries: a systematic analysis and implications.  Lancet 2012; 379:2162-72.</font></p>     <p align="justify"><font size="2" face="Verdana">6. Reinold C, Dalenius K,  Brindley P, Smith B, Grummer- Strawn L. Pregnancy Nutrition Surveillance System.  Atlanta: U.S. Department of Health and Human Services, Centers for Disease  Control and Prevention; 2011.</font></p>     <p align="justify"><font size="2" face="Verdana">7. Prevalence and trends data  (Internet): United States Department of Health and Human Services; 2013. cited  November 13, 2014. Available from: <a href="http://apps.nccd.cdc.gov/brfss/sex.asp?cat=HA&yr=2011&qkey=8051&state=PR"> http://apps.nccd.cdc.gov/brfss/sex.asp?cat=HA &amp; yr=2011 &amp; qkey=8051 &amp; state=PR</a>.</font></p>     <p align="justify"><font size="2" face="Verdana">8. DeSisto CL, Kim SY, Sharma  AJ. Prevalence Estimates of Gestational Diabetes Mellitus in the United States,  Pregnancy Risk Assessment Monitoring System (PRAMS), 2007–2010. Prev Chronic Dis  2014;11:130415.</font></p>     <p align="justify"><font size="2" face="Verdana">9. Martin JA, Hamilton BE,  Osterman MJ, Curtin SC, Mathews TJ. Births: Final Data for 2012. National Vital  Statistics Report; 2013. Report No. 9.</font></p>     <p align="justify"><font size="2" face="Verdana">10. Monroy Torres R, Reeves  Aguirre CC, Naves Sanchez J, Macias AE. Influence of an individualized diet to  control gestational diabetes mellitus. Ginecol Obstet Mex 2008; 76:722-9.</font></p>     <p align="justify"><font size="2" face="Verdana">11. Afaghi A, Ghanei L, Ziaee  A. Effect of low glycemic load diet with and without wheat bran on glucose  control in gestational diabetes mellitus: A randomized trial. Indian J  Endocrinol Metab 2013;17:689-92.</font></p>     <p align="justify"><font size="2" face="Verdana">12. Brantsaeter AL, Haugen M,  Samuelsen SO, Torjusen H, Trogstad L, Alexander J, et al. A dietary pattern  characterized by high intake of vegetables, fruits, and vegetable oils is  associated with reduced risk of preeclampsia in nulliparous pregnant Norwegian  women. J Nutr2009;139:1162-8.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">13. Borgen I, Aamodt G, Harsem  N, Haugen M, Meltzer HM, Brantsaeter AL. Maternal sugar consumption and risk of  preeclampsia in nulliparous Norwegian women. Eur J Clin Nutr 2012;66:920-5.</font></p>     <p align="justify"><font size="2" face="Verdana">14. Imdad A, Bhutta ZA. Effects  of calcium supplementation during pregnancy on maternal, fetal and birth  outcomes. Paediatr Perinat Epidemiol. 2012; 26:s138-s152.</font></p>     <p align="justify"><font size="2" face="Verdana">15. Wen SW, Chen X, Rodger M,  Rennicks White R, Yang Q, Smith GN, et al. Folic acid supplementation in early  second trimester and the risk of preeclampsia. Obstet Gynecol  2008;198:45.e1,45.e7.</font></p>     <p align="justify"><font size="2" face="Verdana">16. Larque E, Gil-Sanchez A,  Prieto-Sanchez MT, Koletzko B. Omega 3 fatty acids, gestation and pregnancy  outcomes. Br J Nutr 2012; 107:s77-s84.</font></p>     <p align="justify"><font size="2" face="Verdana">17. Eskenazi B, Stapleton AL,  Kharrazi M, Chee WY. Associations between maternal decaffeinated and caffeinated  coffee consumption and fetal growth and gestational duration. Epidemiology  1999;10:242-9.</font></p>     <p align="justify"><font size="2" face="Verdana">18. Englund-Ogge L, Brantsaeter  AL, Haugen M, Sengpiel V, Khatibi A, Myhre R, et al. Association between intake  of artificially sweetened and sugar-sweetened beverages and preterm delivery: a  large prospective cohort study. Am J Clin Nutr 2012; 96:552-9.</font></p>     <p align="justify"><font size="2" face="Verdana">19. Nagata JM, Gatti LR, Barg  FK. Social determinants of iron supplementation among women of reproductive age:  a systematic review of qualitative data. Matern Child Nutr 2012;8:1-18.</font></p>     <p align="justify"><font size="2" face="Verdana">20. Palacios C, Trak M,  Betancourt J, Joshipura K, Tucker K. Validation and reproducibility of a  semiquantitative food frequency questionnaire for use in the Puerto Rican  population.Public Health Nutrition 2015. Published online: 27 January 2015.  http:// dx.doi.org/10.1017/S1368980014003218.</font></p>     <p align="justify"><font size="2" face="Verdana">21. Tucker KL, Bianchi LA,  Maras J, Bermudez OI. Adaptation of a food frequency questionnaire to assess  diets of Puerto Rican and non-Hispanic adults. Am J Epidemiol 1998;148:507-18.</font></p>     <p align="justify"><font size="2" face="Verdana">22. Cowie CC, Rust KF,  Byrd-Holt DD, Eberhardt MS, Flegal KM, Engelgau MM, et al. Prevalence of  diabetes and impaired fasting glucose in adults in the U.S. population: National  Health And Nutrition Examination Survey 1999-2002. Diabetes Care 2006;29:1263-8.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font size="2" face="Verdana">23. Noel SE, Newby PK, Ordovas  JM, Tucker KL. A traditional rice and beans pattern is associated with metabolic  syndrome in Puerto Rican older adults. J Nutr 2009;139:1360-7.</font></p>     <p align="justify"><font size="2" face="Verdana">24. Park S, Kim M, Baik SH, Woo  J, Kwon YJ, Daily JW, et al. 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; 67:196-201.</font></p>     <p align="justify"><font size="2" face="Verdana">25. Tovar A, Must A, Bermudez  OI, Hyatt RR, Chasan- Taber L. The impact of gestational weight gain and diet on  abnormal glucose tolerance during pregnancy in Hispanic women. Matern Child  Health J 2009;13:520- 30.</font></p>     <p align="justify"><font size="2" face="Verdana">26. Barger MK. Maternal  Nutrition and Perinatal Outcomes. The Journal of Midwifery &amp; Women’s Health  2010;55:502-11.</font></p>     <p align="justify"><font size="2" face="Verdana">27. Giacco R, Parillo M,  Rivellese AA, Lasorella G, Giacco A, D'Episcopo L, et al. Long-term dietary  treatment with increased amounts of fiber-rich low-glycemic index natural foods  improves blood glucose control and reduces the number of hypoglycemic events in  type 1 diabetic patients. Diabetes Care 2000;23:1461-6.</font></p>     <p align="justify"><font size="2" face="Verdana">28. Navas-Carretero S, Perez-Granados  AM, Schoppen S, Sarria B, Carbajal A, Vaquero MP. Iron status biomarkers in iron  deficient women consuming oily fish versus red meat diet. J Physiol Biochem  2009;65:165-74.</font></p>     <p align="justify"><font size="2" face="Verdana">29. Oken E, Ning Y, Rifas-Shiman  SL, Rich-Edwards JW, Olsen SF, Gillman MW. Diet during pregnancy and risk of  preeclampsia or gestational hypertension. Ann Epidemiol 2007; 17:663-8.</font></p>     <p align="justify"><font size="2" face="Verdana">30. Eshriqui I, Vilela AAF,  Rebelo F, Farias DR, Castro MBT, Kac G. Gestational dietary patterns are not  associated with blood pressure changes during pregnancy and early postpartum in  a Brazilian prospective cohort. Eur J Nutr 2014; Dec 20 (Epub ahead of print).</font></p>       ]]></body>
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