INTRODUCTION
Inadequate eating habits are strongly associated with an increase in the prevalence and mortality from non-communicable chronic diseases in the general population1, and may result from social, cultural and economic influences, such as accessibility, availability, advertising and price2,3. Thus, healthy eating can be considered multidimensional4.
In this scenario, diet can influence pregnancy outcomes, and play a vital role in maternal and child health and in the occurrence of diseases in adult life5,6. Evidence indicates that inadequate food consumption during pregnancy can lead to harmful nutritional consequences, such as gestational weight gain above recommended levels and neonatal adiposity7,8. Such consequences can increase the risk of maternal morbidity and mortality, and harm to the health and nutrition of the fetus and newborn9,10.
In order to guide healthy eating, the Brazilian Ministry of Health developed the new Food Guide for the Brazilian Population, and the proposal of the ten steps for healthy eating. According to the guide11, healthy eating is based on the consumption of varied foods in accordance with individual nutritional needs, based on the golden rule of giving preference to in natura or minimally processed foods, and in harmony with the cultural and social environment in which the individual is inserted11.
However, in Brazil, studies have identified a low consumption of fresh or minimally processed foods in the diet of pregnant women and12,13 an increase in the consumption of ultra-processed foods14, and this signals the need for improvements in the quality of the diet. In this sense, the incorporation of nutritional guidelines during prenatal care becomes essential, as it has the potential to affect the eating behavior of pregnant women15,10.
Thus, considering the risks associated with inadequate nutrition for the mother-baby binomial and the need for studies on this topic in pregnant women, the present study aimed to analyze adherence to the 10 steps for healthy eating during pregnancy and its association with maternal factors. and socioeconomic factors in pregnant women in Espírito Santo, Brazil.
METHODS
Study design and period
This is a cross-sectional study, carried out with pregnant women residing in the state of Espírito Santo, Brazil, from June to September 2021, using a self-administered electronic instrument.
Population and eligibility criteria
The study sample was obtained considering the sample size formula to estimate the proportion of pregnant women who use social networks to participate in a group, considering the population of live births of 53,569 in 2020 in Espírito Santo, according to the Live Birth Information System (SINASC)16. An expected proportion equal to 62% of adherence to 1 or 2 steps of the 10 steps for healthy eating was established, based on a previous study17, with a confidence interval of 95% and a sampling error of 5%. These calculations were performed using the WinPepi© program, version 3.18, and resulted in a required sample size of 360 responding pregnant women.
The population of this study consisted of pregnant women who met the following inclusion criteria: (1) pregnant women in any period of pregnancy; (2) who had access to the internet; (3) and who responded to the full questionnaire. During the completion of the questionnaire, if items 1 and 2 were answered negatively, it was automatically closed. Pregnant women under 20 years of age were excluded from the study.
Data collect
Data were collected through an online questionnaire built on the Research Electronic Data Capture (REDCap) platform and hosted at https://redcap.ufes.br/18,19. The survey was disseminated through an invitation with the access link on social networks (Facebook and Instagram), including an online conversation application (WhatsApp). All information was self-reported by the pregnant women participating in the study.
Data analysis
Variables
The following socioeconomic characteristics were investigated: age (20 to 34 years, 35 years or older), education (≤8 years, >8 years), race/color (white, black, brown, yellow, indigenous), marital status (with partner, no partner), female head of the family (yes, no), human occupation at home (up to 2 people, >2 people) and family income (less than 1 to 3 minimum wages, more than 3 to 5 minimum wages, more than 5 minimum wages). The following maternal factors were also evaluated: gestational period (first trimester, second trimester and third trimester), follow-up (yes, no), difficulty in accessing prenatal care during the COVID-19 pandemic (yes, no) and nutritional guidelines (yes, no).
The outcome investigated was adherence to each step towards a healthy diet, using as a reference the 10 Steps to Healthy Eating during pregnancy, which were adapted from the Brazilian Ministry of Health11. Adapted steps include:
Prioritize the consumption of in natura foods (such as fruits, vegetables, vegetables, eggs and meats) that are minimally processed (such as milk, flour, dried fruits, nuts) in daily consumption or food preparation;
Eat frequently, that is, at least three meals (breakfast, lunch and dinner) and two smaller meals a day, avoiding going many hours without eating;
Use oil, salt and sugar in moderation;
Limit consumption of processed foods;
Avoid consuming ultra-processed foods and fast snacks;
Seek to buy food in markets, fairs and fairs of producers and other places that sell varieties of in natura or minimally processed foods;
If you have culinary skills, try to develop them and share them, especially with children and young people of all ages and genders. If you don’t know how to cook, try to learn;
Consume iron-rich foods daily to avoid anemia (lack of iron in the blood), such as red meat, offal, beans, lentils, chickpeas, soy, dark green leaves, among others;
Plan food shopping, organize the domestic pantry and define the week’s menu in advance;
Be critical of food advertising.
In addition to adherence to each step, the frequency of adherence to the 10 steps was investigated, considering the Praise-Advise-Recommend System (EOR)20. For this, the questions were structured with response options and values, as follows: follows the recommendation (value=0) and does not follow the recommendation (value=1). The EOR score was calculated considering the sum of each item, ranging from 0 to 10 points.
The EOR score seeks to assess the different dimensions of the individual and serves to value or reinforce some care, being then directed to the promotion of improvements in the professional’s clinical practice and greater autonomy of the family in the care process20. For this study, E-Praise was considered when the resulting score was less than or equal to 1; O-Guide when the resulting score is between 1 and 5; and R-Recommend when the result was above 5, indicating low adherence to the steps.
Statistical methods
The collected data were stored in the REDCap platform and exported to the statistical program IBM SPSS Statistics for Windows, version 22.0. Descriptive statistics were performed using frequency and proportion, and statistical associations using Pearson’s chi-square test, and when the expected values in the table cells were less than five, Fisher’s exact test was used. All variables met the assumptions of absence of multicollinearity. The binary logistic regression model was used to test associations between adherence to steps and independent variables (sociodemographic variables and maternal factors). The independent variables that showed association with the outcome from the chi-square test, with p-value less than 20%, were included in the binary logistic regression model. A significance level lower than 5% and a confidence interval (CI) of 95% were considered, with calculation of the Odds Ratio (OR).
Ethical and legal aspects of research
The study was approved by the Research Ethics Committee (CEP) of the Health Sciences Center (CCS) of the Federal University of Espírito Santo (UFES), under protocol CAAE: 45314921.8.0000.5060 and opinion Nº 4,692,710. All participants had access to the electronic consent form.
RESULTS
The research link had 568 hits (100%), however, 200 (35.21%) were excluded, according to pre-established inclusion and exclusion criteria. A total of N=368 (64.78%) pregnant women were included in the research.
Table 1 : Socioeconomic and maternal factors of pregnant women, Espírito Santo, 2021
Variales | n(%) |
---|---|
Age | |
20 to 34 years | 292(79.3) |
35 years or older | 76(20.7) |
Race/color | |
White | 181(49.2) |
Black | 37(10.1) |
Brown | 142(38.6) |
Yellow | 6(1.6) |
Indigenous | 2(0.5) |
Household Human Occupation | |
Up to 2 people | 288(78.3) |
> 2 people | 80(21.7) |
Marital status | |
Don’t have a partner | 11(3.0) |
Have a partner | 357(97.0) |
Education | |
≤ 8 years | 28(7.6) |
> 8 years | 340(92.4) |
Female head of the family | |
Yes | 89(24.2) |
No | 279(75.8) |
Family income | |
Less than 1 to 3 minimum wages | 149(40.5) |
More than 3 to 5 minimum wages | 110(29.9) |
More than 5 minimum wages | 109(29.6) |
Gestational Period | |
First trimester | 74(20.1) |
Second trimester | 173(47) |
Third quarter | 121(32.9) |
Carrying out prenatal care | |
Yes | 364(98.9) |
No | 4(1.1) |
Difficulty in prenatal access during the COVID-19 pandemic | |
Yes | 70(19.0) |
No | 298(81.0) |
Nutritional guidelines in prenatal care | |
Yes | 229(62.2) |
No | 139(37.8) |
N=368
Most pregnant women were between 20 and 34 years old (79.3%), had a family income of up to 3 minimum wages (40.5%), were white (49.2%), had a with more than 8 years of schooling (92.4%), was not considered the main source of family income (75.8%) and lived with a partner (89.1%).
Most of the participants surveyed were in the second trimester of pregnancy and were undergoing prenatal care (47%). As for the provision of nutritional guidance, 229 (62.2%) pregnant women reported that they received guidance, and that the COVID-19 pandemic made access to prenatal care difficult for 19%.
Table 2 shows adherence to each step of healthy eating. Note that only steps 4 and 9 show an adherence frequency lower than 60%.
Table 2 : Adherence to the 10 Steps to Healthy Eating in Pregnancy and classification of the EOR score of pregnant women, Espírito Santo, 2021
Variables | Adherence |
---|---|
Steps | n(%) |
(Step 1) Prioritize the consumption of fresh foods | 322(87.5) |
(Step 2) Eat meals frequently and regularly | 322(87.5) |
(Step 3) Use spices sparingly | 319(86.7) |
(Step 4) Avoid consuming processed foods frequently | 163(44.3) |
(Step 5) Avoid consuming ultra-processed foods frequently | 227(61.7) |
(Step 6) Buying food at the fair | 222(60.3) |
(Step 7) Cooking the meals | 326(88.6) |
(Step 8) Consume foods rich in iron | 296(80.4) |
(Step 9) Plan shopping and meal preparation | 205(55.7) |
(Step 10) Disregard food advertising | 256(69.6) |
EOR score | |
Praise (Membership 9 to 10 steps) | 45(12.2) |
Guide (Adherence 5 to 8 steps) | 289(78.5) |
Recommend (Up to 4 steps membership) | 34(9.2) |
N=368
Regarding the EOR score, 78.5% of the pregnant women were classified in the O-Orientar. Regarding the binary testing of the EOR System, with the other variables investigated, no significant differences were observed. In this case, adherence to each step of healthy eating was analyzed individually.
The frequency of adherence to the steps was categorized and analyzed according to socioeconomic variables and maternal factors (table 3). In relation to step 1, the results showed statistical significance in the variable’s education (p=0,004) and income (p=0,026). In steps 3, 4 and 5, age (p=0.007; p=0.031; p=0,001 respectively) was significantly associated. Regarding step 5, greater adherence was associated with race/color (p=0.008) and family income (p<0.001).
Table 3 : Frequencies of adherence to the 10 steps for healthy eating according to prenatal and socioeconomic variables, Espírito Santo, 2021
S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | |
---|---|---|---|---|---|---|---|---|---|---|
Socioeconomic | ||||||||||
Age [p value#] | 0.846 | 0.846 | 0.007* | 0.031* | 0.001* | 0.407 | 0.895 | 0.489 | 0.864 | 0.381 |
20 to 34 years | 87.3 | 87.7 | 84.2 | 41.4 | 57.2 | 59.2 | 88.7 | 81.2 | 55.5 | 68.5 |
35 years or older | 88.2 | 86.8 | 96.1 | 55.3 | 78.9 | 64.5 | 88.2 | 77.6 | 56.6 | 73.7 |
Race/color [p value#] | 0.124 | 0.378 | 0.431 | 0.438 | 0.008* | 0.350 | 0.118 | 0.051 | 0.407 | 0.933 |
White | 91.2 | 90.1 | 86.7 | 47.5 | 69.1 | 57.5 | 85.1 | 84.5 | 58.6 | 69.1 |
Black | 83.8 | 86.5 | 81.1 | 48.6 | 45.9 | 70.3 | 91.9 | 67.6 | 48.6 | 67.6 |
Brown | 84.5 | 85.2 | 88.7 | 40.8 | 56.3 | 59.9 | 92.3 | 79.6 | 52.8 | 70.4 |
Household Human Occupation [p value#] | 0.252 | 0.445 | 0.539 | 0.690 | 0.056 | 0.006* | 0.041* | 0.138 | 0.157 | 0.650 |
Up to 2 people | 86.5 | 88.2 | 86.1 | 43.8 | 64.2 | 56.6 | 86.8 | 78.8 | 57.6 | 70.1 |
> 2 people | 91.3 | 85.0 | 88.8 | 46.3 | 52.5 | 73.8 | 95.0 | 86.3 | 48.8 | 67.5 |
Marital status [p value#] | 0.635 | 0.147 | 1 | 1 | 0.346 | 0.759 | 0.119 | 0.236 | 0.226 | 0.321 |
Don't have a partner | 81.8 | 72.7 | 90.9 | 45.5 | 45.5 | 54.5 | 72.7 | 63.6 | 36.4 | 54.5 |
Have a partner | 87.7 | 88.0 | 86.6 | 44.3 | 62.2 | 60.5 | 89.1 | 81.0 | 56.3 | 70.0 |
Education [p value#] | 0.004* | 0.066 | 0.399 | 0.579 | 0.084 | 0.040* | 0.228 | 0.813 | 0.813 | 0.290 |
≤ 8 years old | 67.9 | 75.0 | 82.1 | 39.3 | 46.4 | 78.6 | 96.4 | 82.1 | 53.6 | 60.7 |
> 8 years old | 89.1 | 88.5 | 87.1 | 44.7 | 62.9 | 58.8 | 87.9 | 80.3 | 55.9 | 70.3 |
Female head of the family [p value#] | 0.747 | 0.290 | 0.259 | 0.116 | 0.202 | 0.674 | 0.064 | 0.271 | 0.279 | 0.194 |
Yes | 86.5 | 84.3 | 83.1 | 37.1 | 67.4 | 58.4 | 83.1 | 76.4 | 60.7 | 64 |
No | 87.8 | 88.5 | 87.8 | 46.6 | 59.9 | 60.9 | 90.3 | 81.7 | 54.1 | 71.3 |
Family income [p value#] | 0.026* | 0.729 | 0.082 | 0.104 | <0.001* | 0.657 | 0.003* | 0.149 | 0.169 | 0.394 |
Less than 1 to 3 minimum wages | 81.9 | 85.9 | 81.9 | 40.9 | 49.7 | 61.1 | 92.6 | 76.5 | 51.0 | 65.8 |
More than 3 to 5 minimum wages | 91.8 | 89.1 | 90.0 | 52.7 | 67.3 | 62.7 | 91.8 | 80.0 | 62.7 | 70.9 |
More than 5 minimum wages | 90.8 | 88.1 | 89.9 | 40.4 | 72.5 | 56.9 | 79.8 | 86.2 | 55.0 | 73.4 |
Maternal factors | ||||||||||
Gestational period [p value#] | 0.115 | 0.695 | 0.118 | 0.829 | 0.535 | 0.188 | 0.815 | 0.462 | 0.633 | 0.427 |
1st quarter | 94.6 | 85.1 | 82.4 | 41.9 | 66.2 | 58.1 | 86.5 | 81.1 | 56.8 | 74.3 |
2nd quarter | 86.1 | 87.3 | 85 | 43.9 | 59 | 56.6 | 89 | 82.7 | 53.2 | 66.5 |
3rd quarter | 85.1 | 89.3 | 91.7 | 46.3 | 62.8 | 66.9 | 89.3 | 76.9 | 58.7 | 71.1 |
Carrying out prenatal follow-up [p value#] | 1 | 1 | 1 | 0.633 | 1 | 1 | 0.385 | 0.173 | 1 | 0.233 |
No | 100 | 100 | 100 | 25 | 75 | 75 | 75 | 50 | 50 | 100 |
Yes | 87.4 | 87.4 | 86.5 | 44.5 | 61.5 | 60.2 | 88.7 | 80.8 | 55.8 | 69.2 |
Difficulty in prenatal access during the COVID-19 pandemic [p value#] | 0.88 | 0.269 | 0.791 | 0.592 | 0.823 | 0.452 | 0.096 | 0.57 | 0.788 | 0.031* |
No | 88.9 | 86.6 | 86.9 | 45 | 61.4 | 59.4 | 87.2 | 79.9 | 55.4 | 72.1 |
Yes | 81.4 | 91.4 | 85.7 | 41.4 | 62.9 | 64.3 | 94.3 | 82.9 | 57.1 | 58.6 |
Nutritional guidelines in prenatal care [p value#] | 0.239 | 0.031* | 0.040* | 0.003* | <0.001* | 0.286 | 0.77 | 0.017* | 0.013* | 0.183 |
No | 84.9 | 82.7 | 82 | 34.5 | 48.9 | 56.8 | 89.2 | 74.1 | 47.5 | 65.5 |
Yes | 89.1 | 90.4 | 89.5 | 50.2 | 69.4 | 62.4 | 88.2 | 84.3 | 60.7 | 72.1 |
#Chi-square or Fisher exact. *Statistically significant values (p<0.05). Percentage described regarding adherence at each step. Caption: S1: Step 1, Prioritize the consumption of fresh foods; S2: Step 2, Eat meals frequently and regularly; S3: Step 3, Use spices sparingly. S4: Step 4, Avoid consuming processed foods frequently; S5: Step 5, Avoid consuming ultra-processed foods frequently; S6: Step 6, Buy food at fairs; S7: Step 7, Cooking meals; S8: Step 8, Consume foods rich in iron; S9: Step 9, Plan shopping and meal preparation; S10: Step 10, Disregard food advertising. CI: Confidence Interval. OR: Odds ratio.
The variable “nutritional guidelines during prenatal care” was associated with six of the ten steps. Thus, pregnant women who received guidance had a higher frequency of adherence to step 2 (p=0.031), step 3 (p=0.040), step 4 (p=0.003), step 5 (p<0.001), step 8 (p=0.17) and step 9 (p=0.013).
Table 4 shows the variables associated with the binary logistic regression, carried out with the aim of identifying the factors associated with adherence to the steps for healthy eating during pregnancy. No independent variables remained associated with step 1 and step 2.
Table 4 : Binary logistic regression, considering the variables associated with adherence to the 10 steps for healthy eating in pregnant women, Espírito Santo, 2021
S1 | S2 | S3 | S4 | S5 | S6 | S7 | S8 | S9 | S10 | |
---|---|---|---|---|---|---|---|---|---|---|
p value | p value | p value | p value | p value | p value | p value | p value | p value | p value | |
OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | |
Age | ||||||||||
20 to 34 years | - | - | 1 | 1 | 1 | - | - | - | - | - |
35 years or older | - | - | 0.019 | 0.038 | 0.006 | - | - | - | - | - |
4.26 | 1.74 | 2.41 | ||||||||
(1.27-14.30) | (1.03-2.93) | (1.29-4.52) | ||||||||
Race/color | ||||||||||
White | 1 | - | - | - | 1 | - | 1 | 1 | - | - |
Black | 0.346 | - | - | - | 0.081 | - | 0.368 | 0.046 | - | - |
0.59 | 0.5 | 1.85 | 0.42 | |||||||
(0.20-1.74) | (0.23-1.08) | (0.48-7.06) | (0.18-0.98) | |||||||
Brown | 0.233 | - | - | - | 0.333 | - | 0.246 | 0.525 | - | - |
0.64 | 0.78 | 1.58 | 0.82 | |||||||
(0.30-1.33) | (0.47-1.28) | (0.72-3.43) | (0.45-1.50) | |||||||
Household Human Occupation | ||||||||||
Up to 2 people | - | - | - | - | 1 | 1 | 1 | 1 | 1 | - |
> 2 people | - | - | - | - | 0.074 | 0.012 | 0.122 | 0.048 | 0.229 | - |
0.6 | 2.07 | 2.37 | 2.13 | 0.73 | ||||||
(0.34-1.05) | (1.17-3.65) | (0.79-7.08) | (1.00-4.53) | (0.44-1.21) | ||||||
Family income | ||||||||||
Less than 1 to 3 minimum wages | 1 | - | 1 | 1 | 1 | - | 1 | 1 | 1 | 1 |
More than 3 to 5 minimum wages | 0.11 | - | 0.204 | 0.251 | 0.116 | - | 0.917 | 0.762 | 0.158 | 0.651 |
2.06 | 1.66 | 1.35 | 1.58 | 1.05 | 1.1 | 1.44 | 1.13 | |||
(0.84-5.03) | (0.76-3.62) | (0.80-2.26) | (0.89-2.79) | (0.40-2.71) | (0.58-2.10) | (0.86-2.42) | (0.65-1.96) | |||
More than 5 minimum wages | 0.278 | - | 0.255 | 0.302 | 0.058 | - | 0.044 | 0.193 | 0.917 | 0.364 |
1.63 | 1.58 | 0.75 | 1.79 | 0.42 | 1.62 | 0.97 | 1.3 | |||
(0.67-3.97) | (0.71-3.5) | (0.44-1.28) | (0.98-3.29) | (0.18-0.97) | (0.78-3.38) | (0.57-1.63) | (0.73-2.29) | |||
Gestational period | ||||||||||
1st quarter | 1 | - | 1 | - | - | 1 | - | - | - | - |
2nd quarter | 0.215 | - | 0.47 | - | - | 0.772 | - | - | - | - |
0.49 | 1.32 | 0.92 | ||||||||
(0.16-1.51) | (0.62-2.80) | (0.52-1.61) | ||||||||
p value | p value | p value | p value | p value | p value | p value | p value | p value | p value | |
OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | OR (CI95%) | |
3rd quarter | 0.098 | - | 0.039 | - | - | 0.178 | - | - | - | - |
0.38 | 2.58 | 1.52 | ||||||||
(0.12-1.19) | (1.04-6.38) | (0.82-2.79) | ||||||||
Conclusion | ||||||||||
Difficulty in prenatal access during the COVID-19 pandemic | ||||||||||
No | - | - | - | - | - | - | 1 | - | - | 1 |
Yes | - | - | - | - | - | - | 0.186 | - | - | 0.041 |
2.08 | 0.56 | |||||||||
(0.70-6.21) | (0.32-0.97) | |||||||||
Nutritional guidelines in prenatal care | ||||||||||
No | - | 1 | 1 | 1 | 1 | - | - | 1 | 1 | 1 |
Yes | - | 0.64 | 0.186 | 0.003 | 0.003 | - | - | 0.109 | 0.025 | 0.358 |
1.81 | 1.54 | 1.99 | 2.02 | 1.59 | 1.66 | 1.25 | ||||
(0.96-3.41) | (0.81-2.93) | (1.26-3.15) | (1.26-3.24) | (0.90-2.80) | (1.06-2.58) | (0.77-2.01) |
Binary logistic regression. Cases of statistical significance less than 20% in the univariate analysis were included in the analyses. Caption: S1: Step 1, Prioritize the consumption of fresh foods; S2: Step 2, Eat meals frequently and regularly; S3: Step 3, Use spices sparingly. S4: Step 4, Avoid consuming processed foods frequently; S5: Step 5, Avoid consuming ultra-processed foods frequently; S6: Step 6, Buy food at fairs; S7: Step 7, Cooking meals; S8: Step 8, Consume foods rich in iron; S9: Step 9, Plan shopping and meal preparation; S10: Step 10, Disregard food advertising. CI: Confidence Interval. OR: Odds ratio.
In step 3, being 35 years of age or older (p value: 0.019; OR: 4.26; 95%CI: 1.27-14.30) and being in the 3rd trimester of pregnancy (p value: 0.019; OR: 2.58; 95%CI: 1.04-6.38), increased the chance of pregnant women adhering to the recommendation.
Regarding step 4, being ≥35 years old (p value: 0.038; OR: 1.74; 95%CI: 1.03-2.93) and receiving nutritional guidance during prenatal care (p value: 0.003; OR: 1.99; 95%CI: 1.26-3.15) were associated with an increased chance of pregnant women adhering to the recommendation, limiting the consumption of processed foods.
Regarding the consumption of ultra-processed foods (step 5), age ≥35 years (p value: 0.006; OR: 2.41; 95%CI: 1.29-4.52) and nutritional guidelines during prenatal care (p value: 0.003; OR: 2.02; 95%CI: 1.26-3.24) increased the chance of adherence to the recommendations that indicate a reduction in the consumption of this type of food.
Having more than two people living in the same household increased the chance of adherence to step 6 by twice (p value: 0.012; OR: 2.07; 95%CI: 1.17-3.65) and to step 8 (p value: 0.048; OR: 2.13; 95%CI: 1-4.53). Pregnant women of black race/color were 58% less likely to not consume foods rich in iron (p value: 0.046; OR: 0.42; 95%CI: 0.18-0.98), as recommended in step 8. At step 7, having an income greater than 5 minimum wages increased the probability of the pregnant woman not cooking meals by 58% (p value: 0.044; OR: 0.42; 95%CI: 0.18-0.97).
Pregnant women who received nutritional guidance were 66% more likely to plan shopping and prepare meals (p value: 0.025; OR: 1.66; 95%CI: 1.66-2.58), that is, adherence to step 9. Regarding step 10, pregnant women with difficult access to prenatal care during the COVID-19 pandemic were 44% more likely to not follow the recommendations (p value: 0.041; OR: 0.56; 95%CI: 0.32-0.97).
DISCUSSION
In the present study, associations were identified between adherence to the recommendations and access to prenatal care and socioeconomic characteristics, such as age ≥35 years and the greater number of people in the same household. Among our findings, pregnant women who received nutritional guidance during prenatal care were less likely to prefer the consumption of processed and ultra-processed foods.
Adherence to steps differs between age groups, and greater adherence to the recommendations of steps 3, 4 and 5 was identified among pregnant women aged 35 years or older. This finding corroborates the scientific literature, as older women tend to have a healthier and more conscious pattern compared to younger women21.
It should be noted that being a pregnant woman aged 35 years or older is characterized as advanced maternal age and thus may reveal social differences, since women who delay pregnancy tend to have better social and economic characteristics22. Therefore, through higher education, better access to education and information, these pregnant women tend to be more concerned about obstetric outcomes, and may be more careful with their own health and food21,23.
Socioeconomic factors tend to reflect on the eating habits of pregnant women6. In this study, pregnant women of black race/color reported low adherence to step 8, and this may mean a concern about the nutritional needs of the mother and baby in this period24. A study carried out with pregnant women in the 3rd trimester found that women of black race/color tended to eat more inadequately, when compared to white race/color25. Additionally, a study by Victora et al.26 found a low number of prenatal consultations in black women compared to white women, emerging problems in prenatal access and the need for interventions to promote nutritional health for this public24.
Another issue raised, related to this finding, is that black women may present greater social vulnerability, with low educational and socioeconomic levels, which can lead to food insecurity and influence poor nutritional indicators27,28.
Regarding socioeconomic characteristics, the greater number of people in the same household contributed to the chance of adhering to step 6, which indicates a preference for buying food at fairs, and to step 8, which indicates consuming foods rich in iron. This finding suggests that family support in household chores helps the family to have time to organize meals and consequently buy food at fairs, and corroborates the hypothesis that family structure can influence the food consumption of pregnant women29.
As for the habit of cooking their own meals (Step 7), pregnant women with higher incomes indicated non-adherence to this recommendation. Given the influence of economic factors, higher social status may allow the pregnant woman to hire someone to prepare the family’s meals2. Another possible explanation is the high purchasing power, including ready-to-eat foods30.
In this study, the data reveal that receiving nutritional guidance during prenatal care directly influences the choices and eating behavior of pregnant women. Those who received nutrition advice followed 3 out of 10 healthy eating recommendations. Participants who received information about healthy eating during prenatal care were more likely to adhere to steps 4 and 5, which correspond to a reduction in the consumption of processed and ultra-processed foods, following the recommendations that pregnant women should seek to have a diet rich in foods. natural and low in processed foods, in favor of maternal and fetal well-being11. As recommended by the Brazilian food guide, processed foods should be consumed moderately and ultra-processed foods should be avoided, as they are nutritionally unbalanced, induce excessive consumption and interfere with the population’s cultural eating habits11. Our finding was similar to the study by Pereira et al.31in which pregnant women who received prenatal guidance were more likely to consume minimally processed foods, and this highlights the importance of educational activities in prenatal care in changing behavior, mainly in relation to food knowledge and practices32.
Pregnant women who received nutritional guidance during prenatal care were also more likely to plan shopping and meals (step 9). Related to this finding, we can highlight that such prenatal guidelines contribute beyond food choices, in the organization of family food, and evidenced the relevance of food and nutrition education in prenatal care carried out by a trained multiprofessional team12.
It is noteworthy that this study was conducted during the COVID-19 pandemic in Brazil, and the difficulty in accessing prenatal care, caused by the advance of the pandemic, resulted in low adherence to step 10. The COVID-19 pandemic caused overload in health services, leading to a decrease in prenatal coverage, such as consultations and examinations33. In addition to access, a study carried out with postpartum women in the South region of Brazil, in the first year of the COVID-19 pandemic, found a percentage of 17.4% of inadequate prenatal care34.
With these findings, the importance of coverage and quality of the service provided in prenatal care is verified, since greater access allows a better opportunity for care and transmission of qualified information to pregnant women35. However, despite the high coverage of prenatal care in Brazil36, problems related to the provision of educational activities are still found37-39, which makes it inadequate in some of its geographic regions40.
It is also worth noting that the EOR score is considered a guideline for possible clinical conducts21. The use of this score can be considered innovative and easy to apply in educational actions of nutritional guidance in prenatal care and conducting research.
The limitations of this study are related to the possibility of occurrence of biases in memory and self-report, since the research was self-applied. It is important to note that the sample of this study was composed of pregnant women with access to the internet and of a higher socioeconomic level. Although the sample may not be representative of the Brazilian population, understanding new factors to meet recommended guidelines for healthy eating can help guide future interventions. Another possible limitation was related to the inclusion of pregnant women of any gestational trimester, however, during prenatal actions, the pregnant woman must receive nutritional guidance from the first consultation. In addition, our study was based on cross-sectional data, and causal attributions were waived.
CONCLUSION
Most pregnant women adhered to three to five steps, falling into the O-Orientation category. Access to nutritional guidelines during prenatal care influenced the eating habits of pregnant women. In the present study, age ≥35 years and the greater number of people in the same household influenced adherence to the steps towards a healthy diet and, as well as black race/color, income greater than 5 minimum wages and the difficulty of accessing services. prenatal actions in the COVID-19 pandemic were associated with non-adherence.
The data indicated that receiving information about healthy eating during prenatal care contributes to reducing the consumption of processed and ultra-processed foods, giving pregnant women a healthier diet and reinforcing the importance of nutritional interventions in prenatal care.
It is noteworthy that the adaptation of the ten steps for healthy eating during pregnancy used in conjunction with the EOR System can serve as a useful tool in the guidance and dietary assessment of pregnant women.
Finally, the results of the present study can guide future research on the eating habits of pregnant women, considering the Brazilian and specific recommendations for this population.