<?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>S0004-06222015000400002</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Food environment and family support in relation to fruit and vegetable intake in pregnant women]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zuccolotto]]></surname>
<given-names><![CDATA[Daniela CC]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barbieri]]></surname>
<given-names><![CDATA[Patrícia]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Saes Sartorelli]]></surname>
<given-names><![CDATA[Daniela]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Medical School, University of Sao Paulo Department of Social Medicine ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Brasil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2015</year>
</pub-date>
<volume>65</volume>
<numero>4</numero>
<fpage>216</fpage>
<lpage>224</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S0004-06222015000400002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S0004-06222015000400002&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S0004-06222015000400002&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[The aim of the study was to investigate predictor factors related to self-perceived food environment, food practices, and family support and fruit and vegetable intake during pregnancy. A cross-sectional study was conducted among 282 pregnant women at the second trimester of pregnancy living in the city of Ribeirão Preto, Brazil. A food frequency questionnaire, and two 24-hour dietary recalls were obtained, and the Multiple Source Method was used to estimate the usual intake. Self-perceived food environment, food practice and family support were assessed by structured questionnaires. Logistic regression models adjusted for education, age, socioeconomic class, and BMI by gestational age were used to evaluate the relationship between self-perceived food environment, food practice and family support and fruit and vegetable intake. No association between self-perceived food environment and fruit and vegetable intake was found. However, the women who reported a greater number of meals per day (OR 1.95 (95% CI = 1.06; 3.56), p = 0.03), those who believed they consumed enough fruit and vegetable (3.71 (2.23; 6.20), p < 0.001), and who reported to have family support for a healthy diet (3.16 (1.78; 5.60), p < 0.001), were more likely to consume greater amounts of these foods. Our data suggests that the family support and a higher number of meals per day might be relevant to achieve a higher fruit and vegetable intake among pregnant women.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[A relação entre o ambiente alimentar e o suporte familiar e o consumo de frutas, verduras e legumes em gestantes. O objetivo do presente estudo foi investigar fatores preditores relacionados à percepção do ambiente alimentar, práticas alimentares e suporte familiar e o consumo de frutas, verduras e legumes durante a gestação. Trata-se de um estudo transversal, conduzido entre 282 gestantes residentes em Ribeirão Preto, SP, Brasil, durante o segundo trimestre gestacional. O consumo alimentar foi avaliado por meio de um questionário de frequência alimentar e dois recordatórios de 24 horas. Para estimar o consumo usual de alimentos foi utilizado o Multiple Source Method. A percepção do ambiente alimentar, práticas alimentares e suporte familiar foram avaliados por meio de um questionário estruturado. Modelos de regressão logística ajustados por escolaridade, idade, classe social e IMC por idade gestacional foram utilizados para avaliar a relação entre a percepção do ambiente alimentar, práticas alimentares e suporte familiar com o consumo de frutas, verduras e legumes. Nenhuma relação foi encontrada entre a percepção do ambiente alimentar e o consumo de frutas, verduras e legumes. Por outro lado, as gestantes que relataram um maior número de refeições ao dia (OR 1,95 (95%IC = 1,06; 3,56), p = 0,03), aquelas que consideravam que consumiam uma quantidade suficiente de frutas, verduras e legumes (3,71 (2,23; 6,20), p < 0,001), e aquelas que relataram suporte familiar para ter uma alimentação saudável (3,16 (1,78; 5,60), p < 0,001), apresentaram maior chance de consumir uma maior quantidade destes alimentos. Os resultados sugerem que o suporte familiar e um maior número de refeições sejam relevantes para o alcance do maior consumo de frutas, verduras e legumes entre gestantes.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Food environment]]></kwd>
<kwd lng="en"><![CDATA[pregnancy]]></kwd>
<kwd lng="en"><![CDATA[fruit and vegetable intake]]></kwd>
<kwd lng="en"><![CDATA[self-perceived environment]]></kwd>
<kwd lng="pt"><![CDATA[ambiente alimentar]]></kwd>
<kwd lng="pt"><![CDATA[gestação]]></kwd>
<kwd lng="pt"><![CDATA[consumo de frutas verduras e legumes]]></kwd>
<kwd lng="pt"><![CDATA[percepção do ambiente]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="center"><font face="Verdana"><b>Food environment and family support in relation  to fruit and vegetable intake in pregnant women</b></font></p>     <p align="center"><font face="Verdana" size="2">  Daniela CC Zuccolotto, Patrícia Barbieri, Daniela Saes Sartorelli.</font></p>     <p align="center"><font face="Verdana" size="2">  Graduate Program in Community Health, Department of Social Medicine, Ribeirao  Preto,  Medical School, University of Sao Paulo, Brasil.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>SUMMARY.</b> The aim of the study was to investigate predictor  factors related to self-perceived food environment,  food practices, and family support and fruit and vegetable  intake during pregnancy. A cross-sectional study was conducted  among 282 pregnant women at the second trimester  of pregnancy living in the city of Ribeirão Preto, Brazil.  A food frequency questionnaire, and two 24-hour dietary  recalls were obtained, and the Multiple Source Method was  used to estimate the usual intake. Self-perceived food environment,  food practice and family support were assessed by  structured questionnaires. Logistic regression models adjusted  for education, age, socioeconomic class, and BMI by  gestational age were used to evaluate the relationship between  self-perceived food environment, food practice and  family support and fruit and vegetable intake. No association  between self-perceived food environment and fruit and  vegetable intake was found. However, the women who reported  a greater number of meals per day [OR 1.95 (95% CI  = 1.06; 3.56), p = 0.03], those who believed they consumed  enough fruit and vegetable [3.71 (2.23; 6.20), p &lt; 0.001],  and who reported to have family support for a healthy diet  [3.16 (1.78; 5.60), p &lt; 0.001], were more likely to consume  greater amounts of these foods. Our data suggests that the  family support and a higher number of meals per day might  be relevant to achieve a higher fruit and vegetable intake  among pregnant women.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>Key words: </b>Food environment; pregnancy; fruit and vegetable  intake; self-perceived environment.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>RESUMO.</b> A relação entre o ambiente alimentar e o  suporte familiar e o consumo de frutas, verduras e  legumes em gestantes. O objetivo do presente estudo foi  investigar fatores preditores relacionados à percepção do  ambiente alimentar, práticas alimentares e suporte familiar e  o consumo de frutas, verduras e legumes durante a gestação.  Trata-se de um estudo transversal, conduzido entre 282  gestantes residentes em Ribeirão Preto, SP, Brasil, durante  o segundo trimestre gestacional. O consumo alimentar  foi avaliado por meio de um questionário de frequência  alimentar e dois recordatórios de 24 horas. Para estimar o  consumo usual de alimentos foi utilizado o Multiple Source  Method. A percepção do ambiente alimentar, práticas  alimentares e suporte familiar foram avaliados por meio  de um questionário estruturado. Modelos de regressão  logística ajustados por escolaridade, idade, classe social e  IMC por idade gestacional foram utilizados para avaliar a  relação entre a percepção do ambiente alimentar, práticas  alimentares e suporte familiar com o consumo de frutas,  verduras e legumes. Nenhuma relação foi encontrada  entre a percepção do ambiente alimentar e o consumo de  frutas, verduras e legumes. Por outro lado, as gestantes que  relataram um maior número de refeições ao dia [OR 1,95  (95%IC = 1,06; 3,56), p = 0,03], aquelas que consideravam  que consumiam uma quantidade suficiente de frutas,  verduras e legumes [3,71 (2,23; 6,20), p &lt; 0,001], e aquelas  que relataram suporte familiar para ter uma alimentação  saudável [3,16 (1,78; 5,60), p &lt; 0,001], apresentaram  maior chance de consumir uma maior quantidade destes  alimentos. Os resultados sugerem que o suporte familiar  e um maior número de refeições sejam relevantes para o  alcance do maior consumo de frutas, verduras e legumes  entre gestantes.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>Palavras-chave:</b> ambiente alimentar, gestação, consumo  de frutas verduras e legumes, percepção do ambiente.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>INTRODUCTION</b></font></p>     <p align="justify"><font face="Verdana" size="2">  The adequate intake of fruits and vegetables (FV)  during pregnancy (&#8805; 400 g/day) (1) has a positive  impact on women’s and babies’ health. FV intake  during pregnancy is inversely associated with neural  tube defect (2), and allergies (3) in children, and also  prevents excessive gestational weight gain in women (4).  The main determinants of eating behavior include  individual (5), social, cultural, physiological, and  environmental factors (6). Currently, environmental  factors have received significant attention in public  health studies because of their association with the    behavior and choices of individuals, directly affecting  their health (6). Previous studies suggested that the  neighborhood in which the individual resides is  associated with food access, availability, price, and  characteristics, as well as the quality of the diet and  well-being. For instance, a neighborhood considered  safe, with places to practice physical activity and  several food stores may lead to increased physical  activity and a better food selection, contributing  positively to the health of adults living in these areas  (7).</font></p>     <p align="justify"><font face="Verdana" size="2">  A cohort study conducted with American pregnant  women found that living at a distance greater than  four kilometers from a supermarket correlated  negatively with scores of the Healthy Eating Index  during pregnancy (8), suggesting that the easy access  to unhealthy food might influence the lifestyle during  pregnancy.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  Most studies assessing the food environment were  based on objective measures such as the Geographic  Information System (GIS), which maps the distance  between the residences of participants and stores of  interest, and/or store audits to objectively measure  dimensions of the food environment (9). Conversely,  perception-based measures are subjective ways to  evaluate the local food environment characteristics  using self-report questionnaires by the residents to  detect the access, availability and quality of healthy  foods (9, 10). It should be noted that the interaction  between individuals and the environment is much  more complex and dynamic than objective measures  alone are able to measure (9).</font></p>     <p align="justify"><font face="Verdana" size="2">  Flint et al (11), on secondary analysis of the  data from the Philadelphia Neighbourhood Food  Environment Study, investigated the perception of  neighborhood food environment and the FV intake  by adults living in two low-income Philadelphia  neighborhoods. Perception of food environment was  measured using five related dimensions pertaining to  quality, choice and expense of local food outlets and  locally available FV. Multivariate regression analyses  suggested that measured dimensions of neighborhood  food environment did not predict FV consumption.  Feeding practices during pregnancy are influenced  by beliefs, proscriptions, and prescriptions (12), it is  essential to determine whether these factors affect the  influence of the environment on food choices and the  intake of these foods by pregnant women. Thus, from  the public health standpoint, our findings might be  relevant to help create tools for developing community  actions to facilitate the access and choices of pregnant  women towards a healthier lifestyle, which has a  great potential for the promotion of maternal and fetal  health in the short and long term (13)  This study aimed to evaluate the relationship  between self-perceived food environment, food  practices, and family support and the consumption of  FV among pregnant women. The present study is the  first study to investigate the relationship between food  environment perception and FV intake in pregnant  women, and the first such study conducted in a  developing country.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>  MATERIALS AND METHODS</b></font></p>     <p align="justify"><font face="Verdana" size="2"><b>  Study design and population</b></font></p>     <p align="justify"><font face="Verdana" size="2">  This is a cross-sectional study conducted among  adult singleton pregnant women at the 24th gestational  week onwards attended by the Brazilian National  Health Service in Ribeirão Preto, São Paulo state,  Brazil. This study is part of an investigation about the  relationship between food intake during pregnancy  and gestational diabetes mellitus. The inclusion  criteria were: age &#8805; 20 years, pre-pregnancy body  mass index (BMI) &#8805; 20 kg/m2, absence of type 1 and  type 2 diabetes, no reported use of medications that  alter blood glucose, and no report of diseases that alter  usual food consumption such as chronic renal failure,  AIDS, and cancer. Recruitment of the women, and  data collection occurred in five county laboratories,  where there is greater demand for pregnant women  to carry out the oral glucose tolerance test (OGTT),  which are located in areas with a higher proportion  of pregnant women in the city. Nutritionists were  available at these sites five days a week. All pregnant  women who went to these laboratories between  May and November 2012 were invited to participate  in the study. In total, 509 women were contacted.  Of these, seven declined to participate, 219 did not  meet inclusion criteria, and one woman had missing  data, leaving a total of 282 pregnant women in our  sample. Sample size calculations were based on a  prevalence of 13% of adequate intake of FV by the  Brazilian population (14), and an estimated 10% rate  of non-response, resulting in a minimal sample of 190  pregnant women.</font></p>     <p align="justify"><font face="Verdana" size="2">  All participants signed an informed consent  form. The study was approved by the Research Ethics  Committee of the Ribeirão Preto Medical School,  University of São Paulo and authorized by the  Municipal Health Department of Ribeirão Preto, São  Paulo. All the procedures were in accordance with the  Helsinki Declaration.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>  Self-perceived food environment, food practices,  and family support</b></font></p>     <p align="justify"><font face="Verdana" size="2">  The perception of pregnant women about the  food environment, food practices and family support  for a healthy diet was assessed through a structured  multiple choices questionnaire. The questionnaire  was developed based on an international study  that evaluated the relationship between the food  environment and health outcomes (10).</font></p>     <p align="justify"><font face="Verdana" size="2">  The questions to assess the food environment  included distance (less or more than 10 minutes  of walking) between residence and places where  food are purchased (supermarket, farmers market,  street vendors, coffee shop, grocery stores, bakery,  convenience store sor restaurants); walking time to  the nearest food store (near or far), perception about  quality and variety of FV where they were acquired  (good or bad), and presence of market garden at home  (yes or no).</font></p>     <p align="justify"><font face="Verdana" size="2">  The questionnaire to assess food practices was  based on eight questions: number of meals per day (up  to three, four or more); places where subjects usually  have meals outside the home (at work, friend’s or  relative’s houses, restaurants, fast food outlets, selfservice  restaurants, coffee shops); transport used  for shopping (car, motorcycle, bus, bicycle, none);  places where subjects usually buy food (supermarket,  farmers market, street vendors, convinience stores);  frequency of shopping FV (one or more times a week,  less then once a week); whether they would buy more  FV if those were less expensive (yes or no); whether  subjects get FV from other people (yes or no) and selfperception  about consuming enough FV (yes or no).</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  To assess the family support to have a healthy diet  the women were asked to report if they have a family  support to buy and cook healthy foods (yes or no).</font></p>     <p align="justify"><font face="Verdana" size="2">  The reproducibility of the questionnaire was  previously evaluated in a sample of 48 adult pregnant  women with BMI &lt; 30 kg/m2 attended at a Public Health  Care Unit of Ribeirão Preto, São Paulo state, Brazil.  Most questions had near perfect or strong agreement  (Kappa = 0.79–1.0), as described elsewhere (15).  Briefly, those with poor agreement were reformulated  before the questionnaire administration in the present  study; the question “Would you eat FV more often  if they were less expensive?” were originally “Do  you consider that the price of FV is very expensive,  expensive, or cheap?; and the questions “Do you  usually buy food at supermarkets?” , and “Do you  usually buy food at farmers market?” were previously  condensed into a single question with unique answers,  which made it difficult to interpret by the women.  However, no validation studies were conducted to  evaluate the accuracy of the questionnaire.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>  Assessment of fruit and vegetable intake</b></font></p>     <p align="justify"><font face="Verdana" size="2">  In the present study, only fresh FV intake was  considered. A food frequency questionnaire (FFQ)  and two 24-hour dietary recalls (24hRs), on nonconsecutive  days, were obtained at the second  trimester of pregnancy to estimate FV intake. The FFQ  was previously developed and validated for pregnant  women of Ribeirão Preto (16), which includes 10  options of vegetables, and 12 options of fruits, and the  time reference is the establishment of the pregnancy (as  estimated by the physician). The 24hRs were collected  by previously trained nutritionists using the multiplepass  method on week and weekend days, indistinctly.  The Multiple Source Method (MSM), a software  developed by the Department of Epidemiology of  the German Institute of Human Nutrition Potsdam-  Rehbrücke (17), was used to estimate the usual intake  of FV, in which the frequency of intake was included  as covariate for the model. This method estimates  the usual intake of foods in three steps: 1. logistic  regression models are used to estimate the probability  of intake, 2. linear regression models are employed  to estimate the usual intake, corrected for variability,  and 3. the probability of ingestion on a random day  (step 1) is multiplied by the usual intake on a day of  consumption (step 2) to produce the usual intake. The  MSM software is available at <a href="http://msm.dife.de">http://msm.dife.de</a>.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>  Anthropometry and gestational age</b></font></p>     <p align="justify"><font face="Verdana" size="2">  Weight (kg) and height (m) were obtained using  a digital scale (Tanita model HS 301) and a portable  stadiometer (Sanny model ES 2040), respectively.  The assessment of adequacy of BMI by gestational  age was based on Atalah criteria (18). Gestational age  was based on ultrasound data, or derived from the last  menstruation period recorded on the prenatal card.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>    Socio-demographic data</b></font></p>     <p align="justify"><font face="Verdana" size="2">  Socio-demographic data were obtained using  structured questionnaires. For social class classification,  the Brazilian Criteria for Economic Classification was  used, which categorizes socioeconomic classes from  class A (highest level) to class E (lowest level) (19).</font></p>     <p align="justify"><font face="Verdana" size="2"><b>  Data analysis</b></font></p>     <p align="justify"><font face="Verdana" size="2">  The frequency distributions of socioeconomic  variables and the median and percentiles (P25; P75)  of FV intake were calculated. For descriptive analysis,  Chi-square test was used to verify differences across  categories of intake, and the Kuskal-Wallis test was  used to test for differences in median intake according  the characteristics of women.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  The median intake of fresh FV (178 g) was  employed as a cutoff point for a higher intake of FV  and was used as the outcome of interest, as a binary  variable, because only a small proportion of the  women reached the recommended intake for these  foods (&#8805; 400 g/day) (1).</font></p>     <p align="justify"><font face="Verdana" size="2">  Logistic regression models with higher intake of  FV as the dependent variable (&gt; 178g, yes/ no) adjusted  for education (years of study), age (continuous),  socioeconomic class (A1-B2/C1-D/E), and adequacy  of BMI by gestational age (adequate/ excessive)  were used to evaluate the relationship between food  environment perception variables and FV intake.  The forward selection process was employed for the  definition of adjustment variables. Significance level  was set at P&lt; 0.05.The analyses were performed using  SPSS Software version 17.0 (SPSS Inc. Woking,  Surrey, UK).</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>RESULTS</b></font></p>     <p align="justify"><font face="Verdana" size="2">  Among the 282 pregnant women investigated  most were between 20 and 29 years old, married or  cohabiting, with eight to 11 years of education, selfreported  Caucasians, and belonging to socioeconomic  class C. The estimated median (P25, P75) intake of  FV was 41 (32, 109) g among women classified with  lower intakes of FV (&lt; 178 g/day), and 190 (170,  232) g for women with higher intakes of these foods  (&#8805;178 g/day). The proportion of women who reached  the &#8805; 400 g/day recommended by the World Health  Organization (1) was 10%. Women with higher intake  of FV was older [28 (5) years], when compared with  those with lower intakes [27 (4) years], p &lt;0.05. No  differences in the marital status, educational level,  socioeconomic class, and adequacy of BMI by  maternal age across categories of FV intake were  found (Chi-square test). However, a higher median  intake of FV was verified among separated or  widowed women, when compared with the single and  married (Kruskal-Wallis test) (<a href="#t1">Table 1</a>).</font></p>     <p align="justify"><a name="t1"></a></p>     <p align="center"><img border="0" src="/img/fbpe/alan/v65n4/art02t1.jpg" width="580" height="507"></p>     
<p align="center"><a name="t2"></a></p>     <p align="center"><img border="0" src="/img/fbpe/alan/v65n4/art02t2.jpg" width="580" height="373"></p>     
<p align="center"><a name="t3"></a></p>     <p align="center"><img border="0" src="/img/fbpe/alan/v65n4/art02t3.jpg" width="600" height="682"></p>     
]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  In logistic regression models adjusted for age,  education, socioeconomic class, and adequacy of  BMI by gestational age, no associations were found  between self-perceived food environment and FV  intake (<a href="#t2">Table 2</a>). Moreover, no associations between a  longer distance from home (&gt; 10 minutes of walk) and  grocery stores [OR 0.87 (IC 95% 0.46, 1.61)], coffee  shops [0.80 (0.49, 1.32)], bakery [0.76 (0.46, 1.26)],  convenience stores [0.87 (0.46, 1.62)] or restaurants  [1.38 (0.74, 2.57], and FV intake were found.</font></p>     <p align="justify"><font face="Verdana" size="2">  <a href="#t3">Table 3</a> describes the relation between food  practices, family support, and FV intake in pregnant  women. In logistic regression models adjusted for  age, education, socioeconomic class, and adequacy of  BMI by gestational age, it was observed a positive  association between having four or more meals per  day and a higher intake of FV. The median (P25, P75)  intake of FV of women who reported having up to  3 meals a day was 153g (92, 248), and among those  with more than 4 meals a day was 187g (108, 295).</font></p>     <p align="justify"><font face="Verdana" size="2">  Similarly, a positive association between the belief  of an adequate intake of FV and a higher intake of  these foods was found. The median intake of FV by  pregnant women who believed that they consume  enough FV was 231g (127, 321), and among those  who did not was 139g (96, 214). Moreover, women  who reported family support to have a healthy diet  were more likely to consume greater amounts of FV,  after multiple adjustments. The median intake of  women with family support was 200g (113, 300), and  those who did not was 130g (91, 214).</font></p>     <p align="justify"><font face="Verdana" size="2">  In adjusted models, no association between  the places that the women usually have meals, as  at work [1.11 (0.66, 1.87)], at friend´s or relative´s  houses [0.92 (0.56, 1.15)], self-service restaurants  [1.67 (0.91, 3.06)] or coffee shops [1.32 (0.77, 2.26)]  and FV intake was found. Moreover, no association  between the place that women usually buy foods,  like supermarkets, farmers markets, grocery store  [1.01 (0.56, 1.81)], coffee shops [1.19 (0.57, 2.51)],  bakeries [1.18 (0.67, 2.09)] or convenience stores  [0.90 (0.31, 2.65)] and FV intake was observed.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>DISCUSSION</b></font></p>     <p align="justify"><font face="Verdana" size="2">  The results of this study suggest that factors  related to the self-perceived food environment were  not associated with consumption of FV among the  pregnant women studied. Nevertheless, women who  reported having four or more meals per day, those  who believed they consumed enough FV, and who  reported to have family support for a healthy diet  were more likely to consume greater amounts of FV  after multiple adjustments.</font></p>     <p align="justify"><font face="Verdana" size="2">  Increasing evidence suggest that the prevention of  chronic diseases in adult life should involve strategies  throughout the life-cycle, starting in the antenatal  period (13). Thus, investigations of the predictors of a healthy lifestyle in pregnant women are of utmost  relevance. To our knowledge, no previous studies have  investigated the relationship between self-perceived  food environment and consumption of FV in pregnant  women. In the present study, our results might be  partly explained by the fact that, food practices of  women during pregnancy are usually permeated by  beliefs about which food should be eaten, values,  tastes, desires, proscriptions, and prescriptions,  enabling them to overcome the barriers inherent to  the food environment. A systematic review have  examined the association between food environment  and diet in adult population, and found a moderate  evidence of the causal effect of the neighborhood food  environments on dietary intake (9).</font></p>     <p align="justify"><font face="Verdana" size="2">  The perception about questions such as proximity  to stores for FV in the neighborhood and quality and  variety of these foods showed no direct association  with higher FV intake among pregnant women in  our study. Nevertheless, previous findings regarding  the relationship between food environment and diet  are inconsistent, regardless of the methodological  approach (9). For instance, in a study conducted  in New Zealand, the distance of the residences to  the nearest supermarkets or convenience stores  were not associated with FV intake (20). On the  other hand, on a study conducted among Australian  children, an inverse association between vegetable  intake and the distance between the residence and  fast food outlets and supermarkets was found (21).</font></p>     <p align="justify"><font face="Verdana" size="2">  We found no association between the self-perceived  quality and variety of FV at the food stores and  higher consumption of these foods. A similar result  was reported in a study conducted in Americans, in  which no association between individual satisfaction  regarding the variety, quality, and cost/accessibility of  FV and higher consumption of these foods was found  (22).</font></p>     <p align="justify"><font face="Verdana" size="2">  In the present study, our data showed a positive  relationship between women who reported having  four or more meals per day and a higher probability  of consuming adequate amounts of FV. This result  is consistent with findings of a study with Japanese-  Brazilians that showed that those who reported to  have more meals per day had a higher probability of  reaching the recommended daily intake of FV of 400g  (23). A possible explanation for this fact is that women  who have more meals per day may opt to include fruits  in those meals, thus increasing the daily intake of this  food group. Additionally, the fact that our population  differs from the Japanese-Brazilians suggests that the  association between a more meals per day and eating  adequate amounts of FV is not population-specific.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">  A study conducted among 5,130 adults in Austria  found that the fact of individuals considering they  consumed adequate amounts of FV prevented them  from increasing their intake, even when it was lower  than the recommended (24). In the present study, the  results also showed a positive association between  pregnant women who considered they consumed  adequate amounts of FV and a higher intake of these  foods. However, even though perception of adequate  intake is directly associated with higher FV intake,  actual intake in this study was much lower than  recommended. The estimated mean FV intake among  pregnant women in this study was 207 g, and only  10% of the women evaluated in this study reached the  recommended intake of 400 g/day of FV.</font></p>     <p align="justify"><font face="Verdana" size="2">  A randomized clinical trial conducted among  overweight adults in England, evaluated the impact of  strategies to promote a healthy lifestyle and found that  the social support was relevant for adopting a healthy  diet (25). Our results showed that women who reported  family support to have a healthy diet were more likely  to consume greater amounts of FV, suggesting that  the social support contribute to improve the quality of  dietary intake.</font></p>     <p align="justify"><font face="Verdana" size="2">  The main limitation of this study is its crosssectional  design, in which causal inferences cannot  be made, due to the nature of the study design.  Therefore, randomized clinical trials are necessary  to confirm such hypothesis. Moreover, the seasonal  variation of FV intake was not evaluated, which could  influence the results, and the questionnaire used to  assess the self-perceived food environment and food  practices was not previously validated. Nevertheless,  the strengths is that this is the first one to investigate  predictor factors related to self-perceived food  environment, food practices and family support for  a healthy diet and FV intake during pregnancy, and  the first such study conducted in a developing country.  Because most pregnant women are willing to improve  their lifestyle during this phase of life to protect their  baby, novel strategies aimed at improving the intake  of FV are in great need. Knowing which factors, in  a given population, are associated with an adequate  intake of these foods is essential to design nutritional  intervention programs.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>CONCLUSIONS</b></font></p>     <p align="justify"><font face="Verdana" size="2">  Our data suggests that to achieve optimal FV  intake among pregnant women strategies promoting  four or more meals per day, and family support might  be relevant.</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>ACKNOWLEDGEMENTS</b></font></p>     <p align="justify"><font face="Verdana" size="2">  This study was supported by the FAPESP  (scholarship to DCCZ 2011/03558-7), and grant from  FAEPA, and CNPq (472221/2010-8).</font></p>     <p align="justify"><font face="Verdana" size="2">  <b>REFERENCES</b></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  1. World Health Organization. Joint WHO/FAO Expert  Consultation on diet, nutrition and the prevention  of chronic disease. WHO Technical Report Series.  Nutrition for Health and Development. Geneva: WHO</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=531336&pid=S0004-0622201500040000200001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><font face="Verdana" size="2">  2. Yin Z, et al. A population-based case–control study  of risk factors for neural tube defects in Shenyang,  China. Childs Nerv Syst 2010; 27:149-54.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531337&pid=S0004-0622201500040000200002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  3. Nwaru BI, et al. Maternal diet during pregnancy and  allergic sensitization in the offspring by 5 yrs of age:  a prospective cohort study. Pediatr Allergy Immunol  2010; 21(1 Pt 1): 29-37.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531339&pid=S0004-0622201500040000200003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  4. Olson CM, Strawderman MS. Modifiable behavioral  factors in a biopsychosocial model predict inadequate  and excessive gestational weight gain. J Am Diet  Assoc 2003;103:48–54.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531341&pid=S0004-0622201500040000200004&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  5. Kamphuis CBM, Giskes K, de Bruijn GJ, Wendel-Vos  W, Brug J, van Lenthe FJ. Environmental determinants  of fruit and vegetable consumption among adults: a  systematic review. Br J Nutr 2006; 96: 620-35.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531343&pid=S0004-0622201500040000200005&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  6. Casey AA, Elliott M, Glanz K. Impact of the food  environment and physical activity environment on  behaviors and weight status in rural U.S. communities.  Prev Med 2008; 47:600-04.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531345&pid=S0004-0622201500040000200006&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  7. Casagrande SS, Whitt- Glover MC, Lancaster KJ,  Odoms-Young AM, Gary TF. Built environment  and health behaviors among African Americans: a  systematic review. Am J Prev Med 2009; 36 (2): 174-  81</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=531347&pid=S0004-0622201500040000200007&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><font face="Verdana" size="2">  8. Laraia BA, Siega-Riz AM, Kaufman JS, Jones SJ.  Proximity of supermarkets is positively associated  with diet quality index for pregnancy. Prev Med  2004;39: 869-75.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531348&pid=S0004-0622201500040000200008&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  9. Caspi CE, Sorensen G, Subramanian SV, Kawachi I.  The local food environment and diet: A systematic  review. Health Place 2012; 18 (5):1172-87.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531350&pid=S0004-0622201500040000200009&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  10. Echeverria SE, Diez- Roux AV, Link BG. Reliability  of self- reported neighborhood characteristics. J Urb  Health 2004; 81(4): 682-01.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531352&pid=S0004-0622201500040000200010&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  11. Flint E, Cummins S, Matthews S. Do perceptions  of the neighborhood food environment predict fruit  and vegetable intake in low income neighborhoods?  Health Place 2013; 24: 11-15.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531354&pid=S0004-0622201500040000200011&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <p align="justify"><font face="Verdana" size="2">  12. Canesqui AM, Garcia RWD. Antropologia e Nutrição:  um diálogo possível. Rio de Janeiro: Fiocruz; 2005:  24-25.</font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  13. Robinson S. Introduction to early life and later disease.  In: British Nutrition Foundation (Org). Nutrition and  Development: short and long-term consequences for  health. United Kingdom: Wiley-Blackwell; 2013. p.  1-13.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531357&pid=S0004-0622201500040000200013&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  14. Jaime PC, Monteiro CA. Fruit and vegetable intake  by Brazilian adults, 2003. Cad Saude Publica 2005;  21 (Supl):19-24.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531359&pid=S0004-0622201500040000200014&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  15. Zuccolotto DCC, Bertola MR, Isobe MT, Sartorelli  DS. Reprodutibilidade de questões do ambiente  alimentar e acerca do consumo de frutas e hortaliças  entre gestantes. Rev Nutr 2013; 26(6): 727-35.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531361&pid=S0004-0622201500040000200015&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  16. Barbieri P, Nishimura RY, Crivellenti LC, Sartorelli  DS. Relative validation of a quantitative food  frequency questionnaire for use in Brazilian pregnant  women. Public Health Nutr 2013;16 (8): 1419-26.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531363&pid=S0004-0622201500040000200016&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  17. Harttig U, Haubrock J, Knuppel S, H Boeing. The  MSM program: web-based statistics package for  estimating usual dietary intake using the Multiple  Source Method. Eur J Clin Nutr 2011; 65 (Suppl 1):  87-91.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531365&pid=S0004-0622201500040000200017&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  18. Atalah SE, Castillo CL, Castro RS. Propuesta de  um nuevo estandar de evaluacion nutricional em  embarazadas. Rev Med Chile 1997; 125: 1429-36.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531367&pid=S0004-0622201500040000200018&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <p align="justify"><font face="Verdana" size="2">  19. Associação Brasileira de Empresas de Pesquisa  (ABEP). Dados com base no Levantamento Sócio  Econômico 2010 – IBOPE. 2012. Available in: &lt; <a href="http://www.abep.org">www.abep.org</a>  2&gt;.</font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  20. Pearce J,Hiscock R,Blakely T, Witten K.The contextual  effects of neighborhood access to supermarkets and  convenience stores on individual fruit and vegetable  consumption. J Epidemiol Community Health 2008;  62 (3):198-01.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531370&pid=S0004-0622201500040000200019&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  21. Timperio A, Ball K, Roberts R, Campbell K,  Andrianopoulos N, Crawford D. Children's fruit and  vegetable intake: associations with the neighbourhood  food environment. Prev Med 2008; 46: 331-35.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531372&pid=S0004-0622201500040000200020&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  22. Zenk SN, Lachance LL, Shulz AJ, Mentz G, Kannan  S, Ridella W. Neighborhood Retail Food Environment  and Fruit and Vegetable Intake in a Multiethnic Urban  Population. Am J Health Promot 2009; 23 (4): 255-64.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531374&pid=S0004-0622201500040000200021&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  23. Palma RFM, Barbieri P, Damião R, Poletto J, Chaim  R, Gimeno SG. Fatores associados ao consumo de  frutas, verduras e legumes em nipo-brasileiros. Rev  Bras Epidemiol 2009; 12: 436-45.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531376&pid=S0004-0622201500040000200022&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     ]]></body>
<body><![CDATA[<!-- ref --><p align="justify"><font face="Verdana" size="2">    24. Schatzer M, Petra R, Elmadfa I. Fruit and vegetable  intake in Austria adults: intake frequency, serving  sizes, reason for and barriers to consumption, and  potential for increasing consumption. Public Health  Nutr 2009; 13 (4): 480-87.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531378&pid=S0004-0622201500040000200023&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <!-- ref --><p align="justify"><font face="Verdana" size="2">  25. Gillison F, Stathi A, Reddy Prasuna, Perry R, Taylor  G, Bennett P et al. Process of behavior change and  weight loss intervention program: a test of the process  model for lifestyle behavior change. Int J of Behav  Nutr Phys Act 2015; 12 (1):2.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=531380&pid=S0004-0622201500040000200024&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <p align="justify"><font face="Verdana" size="2">  Recibido: 13-04-2015  Aceptado: 03-07-2015</font></p>     <p align="justify">&nbsp;</p>       ]]></body>
<back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[World]]></surname>
<given-names><![CDATA[Health Organization. Joint WHO/FAO Expert Consultation on diet]]></given-names>
</name>
<name>
<surname><![CDATA[nutrition]]></surname>
<given-names><![CDATA[and the prevention of chronic disease]]></given-names>
</name>
</person-group>
<source><![CDATA[WHO Technical Report Series]]></source>
<year>Gene</year>
<month>va</month>
<page-range>WHO</page-range><publisher-name><![CDATA[Nutrition for Health and Development]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yin]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[A population-based case-control study of risk factors for neural tube defects in Shenyang, China]]></article-title>
<source><![CDATA[Childs Nerv Syst]]></source>
<year>2010</year>
<volume>27</volume>
<page-range>149-54</page-range></nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nwaru]]></surname>
<given-names><![CDATA[BI]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Maternal diet during pregnancy and allergic sensitization in the offspring by 5 yrs of age: a prospective cohort study]]></article-title>
<source><![CDATA[Pediatr Allergy Immunol]]></source>
<year>2010</year>
<volume>21</volume>
<numero>1 Pt 1</numero>
<issue>1 Pt 1</issue>
<page-range>29-37</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Olson]]></surname>
<given-names><![CDATA[CM]]></given-names>
</name>
<name>
<surname><![CDATA[Strawderman]]></surname>
<given-names><![CDATA[MS]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Modifiable behavioral factors in a biopsychosocial model predict inadequate and excessive gestational weight gain]]></article-title>
<source><![CDATA[J Am Diet Assoc]]></source>
<year>2003</year>
<volume>103</volume>
<page-range>48-54</page-range></nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kamphuis]]></surname>
<given-names><![CDATA[CBM]]></given-names>
</name>
<name>
<surname><![CDATA[Giskes]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[de]]></surname>
<given-names><![CDATA[Bruijn GJ]]></given-names>
</name>
<name>
<surname><![CDATA[Wendel-Vos]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Brug]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[van]]></surname>
<given-names><![CDATA[Lenthe FJ]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Environmental determinants of fruit and vegetable consumption among adults: a systematic review]]></article-title>
<source><![CDATA[Br J Nutr]]></source>
<year>2006</year>
<volume>96</volume>
<page-range>620-35</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Casey]]></surname>
<given-names><![CDATA[AA]]></given-names>
</name>
<name>
<surname><![CDATA[Elliott]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Glanz]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Impact of the food environment and physical activity environment on behaviors and weight status in rural U.S]]></article-title>
<source><![CDATA[communities. Prev Med]]></source>
<year>2008</year>
<volume>47</volume>
<page-range>600-04</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Casagrande]]></surname>
<given-names><![CDATA[SS]]></given-names>
</name>
<name>
<surname><![CDATA[Whitt-]]></surname>
<given-names><![CDATA[Glover MC]]></given-names>
</name>
<name>
<surname><![CDATA[Lancaster]]></surname>
<given-names><![CDATA[KJ]]></given-names>
</name>
<name>
<surname><![CDATA[Odoms-Young]]></surname>
<given-names><![CDATA[AM]]></given-names>
</name>
<name>
<surname><![CDATA[Gary]]></surname>
<given-names><![CDATA[TF]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Built environment and health behaviors among African Americans: a systematic review]]></article-title>
<source><![CDATA[Am J Prev Med]]></source>
<year>2009</year>
<volume>36</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>174- 81</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Laraia]]></surname>
<given-names><![CDATA[BA]]></given-names>
</name>
<name>
<surname><![CDATA[Siega-Riz]]></surname>
<given-names><![CDATA[AM]]></given-names>
</name>
<name>
<surname><![CDATA[Kaufman]]></surname>
<given-names><![CDATA[JS]]></given-names>
</name>
<name>
<surname><![CDATA[Jones]]></surname>
<given-names><![CDATA[SJ]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Proximity of supermarkets is positively associated with diet quality index for pregnancy]]></article-title>
<source><![CDATA[Prev Med]]></source>
<year>2004</year>
<volume>39</volume>
<page-range>869-75</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Caspi]]></surname>
<given-names><![CDATA[CE]]></given-names>
</name>
<name>
<surname><![CDATA[Sorensen]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Subramanian]]></surname>
<given-names><![CDATA[SV]]></given-names>
</name>
<name>
<surname><![CDATA[Kawachi]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[The local food environment and diet: A systematic review]]></article-title>
<source><![CDATA[Health Place]]></source>
<year>2012</year>
<volume>18</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1172-87</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Echeverria]]></surname>
<given-names><![CDATA[SE]]></given-names>
</name>
<name>
<surname><![CDATA[Diez-]]></surname>
<given-names><![CDATA[Roux AV]]></given-names>
</name>
<name>
<surname><![CDATA[Link]]></surname>
<given-names><![CDATA[BG]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Reliability of self- reported neighborhood characteristics]]></article-title>
<source><![CDATA[J Urb Health]]></source>
<year>2004</year>
<volume>81</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>682-01</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Flint]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Cummins]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Matthews]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Do perceptions of the neighborhood food environment predict fruit and vegetable intake in low income neighborhoods?]]></article-title>
<source><![CDATA[Health Place]]></source>
<year>2013</year>
<volume>24</volume>
<page-range>11-15</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Canesqui]]></surname>
<given-names><![CDATA[AM]]></given-names>
</name>
<name>
<surname><![CDATA[Garcia]]></surname>
<given-names><![CDATA[RWD]]></given-names>
</name>
</person-group>
<source><![CDATA[Antropologia e Nutrição: um diálogo possível]]></source>
<year>24-2</year>
<month>5</month>
<publisher-name><![CDATA[Rio de Janeiro: Fiocruz; 2005: p]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Robinson]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Introduction to early life and later disease. In: British Nutrition Foundation (Org)]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Nutrition]]></surname>
<given-names><![CDATA[and Development: short and long-term consequences for health]]></given-names>
</name>
</person-group>
<source><![CDATA[United Kingdom: Wiley-Blackwell; 2013]]></source>
<year>1-13</year>
<publisher-name><![CDATA[p]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jaime]]></surname>
<given-names><![CDATA[PC]]></given-names>
</name>
<name>
<surname><![CDATA[Monteiro]]></surname>
<given-names><![CDATA[CA]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Fruit and vegetable intake by Brazilian adults, 2003]]></article-title>
<source><![CDATA[Cad Saude Publica]]></source>
<year>2005</year>
<volume>21</volume>
<numero>Supl</numero>
<issue>Supl</issue>
<page-range>19-24</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zuccolotto]]></surname>
<given-names><![CDATA[DCC]]></given-names>
</name>
<name>
<surname><![CDATA[Bertola]]></surname>
<given-names><![CDATA[MR]]></given-names>
</name>
<name>
<surname><![CDATA[Isobe]]></surname>
<given-names><![CDATA[MT]]></given-names>
</name>
<name>
<surname><![CDATA[Sartorelli]]></surname>
<given-names><![CDATA[DS]]></given-names>
</name>
</person-group>
<article-title xml:lang="pt"><![CDATA[Reprodutibilidade de questões do ambiente alimentar e acerca do consumo de frutas e hortaliças entre gestantes]]></article-title>
<source><![CDATA[Rev Nutr]]></source>
<year>2013</year>
<volume>26</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>727-35</page-range></nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Barbieri]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Nishimura]]></surname>
<given-names><![CDATA[RY]]></given-names>
</name>
<name>
<surname><![CDATA[Crivellenti]]></surname>
<given-names><![CDATA[LC]]></given-names>
</name>
<name>
<surname><![CDATA[Sartorelli]]></surname>
<given-names><![CDATA[DS]]></given-names>
</name>
</person-group>
<article-title xml:lang="pt"><![CDATA[Relative validation of a quantitative food frequency questionnaire for use in Brazilian pregnant women]]></article-title>
<source><![CDATA[Public Health Nutr]]></source>
<year>2013</year>
<volume>16</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>1419-26</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Harttig]]></surname>
<given-names><![CDATA[U]]></given-names>
</name>
<name>
<surname><![CDATA[Haubrock]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Knuppel]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[H]]></surname>
<given-names><![CDATA[Boeing]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method]]></article-title>
<source><![CDATA[Eur J Clin Nutr]]></source>
<year>2011</year>
<volume>65</volume>
<numero>Suppl 1</numero>
<issue>Suppl 1</issue>
<page-range>87-91</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Atalah]]></surname>
<given-names><![CDATA[SE]]></given-names>
</name>
<name>
<surname><![CDATA[Castillo]]></surname>
<given-names><![CDATA[CL]]></given-names>
</name>
<name>
<surname><![CDATA[Castro]]></surname>
<given-names><![CDATA[RS]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Propuesta de um nuevo estandar de evaluacion nutricional em embarazadas]]></article-title>
<source><![CDATA[Rev Med Chile]]></source>
<year>1997</year>
<volume>125</volume>
<page-range>1429-36</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pearce]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Hiscock]]></surname>
<given-names><![CDATA[R,Blakely T]]></given-names>
</name>
<name>
<surname><![CDATA[Witten]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[The contextual effects of neighborhood access to supermarkets and convenience stores on individual fruit and vegetable consumption]]></article-title>
<source><![CDATA[J Epidemiol Community Health]]></source>
<year>2008</year>
<volume>62</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>198-01</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Timperio]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Ball]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Roberts]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Campbell]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Andrianopoulos]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Crawford]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Children's fruit and vegetable intake: associations with the neighbourhood food environment]]></article-title>
<source><![CDATA[Prev Med]]></source>
<year>2008</year>
<volume>46</volume>
<page-range>331-35</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>22</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zenk]]></surname>
<given-names><![CDATA[SN]]></given-names>
</name>
<name>
<surname><![CDATA[Lachance]]></surname>
<given-names><![CDATA[LL]]></given-names>
</name>
<name>
<surname><![CDATA[Shulz]]></surname>
<given-names><![CDATA[AJ]]></given-names>
</name>
<name>
<surname><![CDATA[Mentz]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Kannan]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Ridella]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Neighborhood Retail Food Environment and Fruit and Vegetable Intake in a Multiethnic Urban Population]]></article-title>
<source><![CDATA[Am J Health Promot]]></source>
<year>2009</year>
<volume>23</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>255-64</page-range></nlm-citation>
</ref>
<ref id="B22">
<label>23</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Palma]]></surname>
<given-names><![CDATA[RFM]]></given-names>
</name>
<name>
<surname><![CDATA[Barbieri]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Damião]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Poletto]]></surname>
<given-names><![CDATA[J]]></given-names>
</name>
<name>
<surname><![CDATA[Chaim]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Gimeno]]></surname>
<given-names><![CDATA[SG]]></given-names>
</name>
</person-group>
<article-title xml:lang="es"><![CDATA[Fatores associados ao consumo de frutas, verduras e legumes em nipo-brasileiros]]></article-title>
<source><![CDATA[Rev Bras Epidemiol]]></source>
<year>2009</year>
<volume>12</volume>
<page-range>436-45</page-range></nlm-citation>
</ref>
<ref id="B23">
<label>24</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schatzer]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Petra]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Elmadfa]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Fruit and vegetable intake in Austria adults: intake frequency serving sizes reason for and barriers to consumption and potential for increasing consumption]]></article-title>
<source><![CDATA[Public Health Nutr]]></source>
<year>2009</year>
<volume>13</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>480-87</page-range></nlm-citation>
</ref>
<ref id="B24">
<label>25</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gillison]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Stathi]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Reddy]]></surname>
<given-names><![CDATA[Prasuna]]></given-names>
</name>
<name>
<surname><![CDATA[Perry]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Taylor]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Bennett]]></surname>
<given-names><![CDATA[P et al]]></given-names>
</name>
</person-group>
<article-title xml:lang="en"><![CDATA[Process of behavior change and weight loss intervention program: a test of the process model for lifestyle behavior change]]></article-title>
<source><![CDATA[Int J of Behav Nutr Phys Act]]></source>
<year>2015</year>
<volume>12</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>2</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
