SciELO - Scientific Electronic Library Online

 
vol.30 issue1Guidelines and practices on feeding children with cerebral palsyBrazilian Girls Who Practice Classical Ballet Develop Different Motor Strategies Regarding Postural Stability author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Journal of Human Growth and Development

Print version ISSN 0104-1282On-line version ISSN 2175-3598

J. Hum. Growth Dev. vol.30 no.1 São Paulo Jan./Apr. 2020

http://dx.doi.org/10.7322/jhgd.v30.9972 

ORIGINAL ARTICLE

 

Validation of a food frequency questionnaire for pregnant women attending primary care facilities

 

Validação de um questionário de frequência de consumo alimentar para gestantes atendidas em unidades básicas de saúde

 

 

Ana Carolina Oliveira Rodrigues DuarteI; Lucinéia de PinhoII; Marise Fagundes SilveiraIII; Ernani Mendes BotelhoIV

IMestre. Universidade Estadual de Montes Claros, Centro de Ciências Biológicas e da Saúde, Programa de Mestrado Profissional em Biotecnologia. Montes Claros, MG, Brasil
IIDoutora. Professor na Universidade Estadual de Montes Claros, Centro de Ciências Biológicas e da Saúde, Programa de Pós-Graduação em Cuidado Primário em Saúde, Montes Claros, MG, Brasil
IIIDoutora. Professor na Universidade Estadual de Montes Claros, Centro de Ciências Biológicas e da Saúde, Programa de Pós-Graduação em Cuidado Primário em Saúde, Montes Claros, MG, Brasil
IVDoutor. Professor na Universidade Estadual de Montes Claros, Centro de Ciências Biológicas e da Saúde, Programa de Mestrado Profissional em Biotecnologia. Montes Claros, MG, Brasil

Correspondence

 

 


ABSTRACT

INTRODUCTION: The Food Consumption Frequency Questionnaire (FCFQ) is a tool for assessing food consumption. However, to be used in pregnant women, it must be submitted to validation. The food consumption of pregnant women can impact on maternal and child health, becoming a public health issue. The questionnaire applied during pregnancy can create parameters for better prenatal care
OBJECTIVE: To validate a FCFQ for pregnant women attended at primary health care units
METHODS: The Food Consumption Frequency Questionnaire and two 24-hour recall were applied to 155 pregnant women from the municipality of Montes Claros, Minas Gerais, Brazil. The questionnaire results were contrasted with the average of the two 24- hour recall using the chi-square test. The mean of the differences were estimated by limits of agreement. Pearson's correlation test and Intraclass Correlation Coefficient as well were used. Food consumption medians and quartiles were calculated
RESULTS: The value of estimate energy consumption and most nutrients was higher by the questionnaire. The concordance between the methods in the classification in quartiles of consumption was variable, being similar for 26.11% and opposite for 12.1%. After adjusting for energy, the correlation coefficient ranged from -0.144 (carbohydrate) to 0.337 (potassium). The questionnaire estimated values were approximately 1.94 higher than the 24 hour recall, corresponding to 20% higher for almost all nutrients
CONCLUSION: The FCFQ showed to be a good instrument to be considered clinically as well as for research purposes in Brazilian pregnant women, this tool measures appropriately food intake which is fundamental for establishing health conditions during pregnancy, helping to assess the association between diet, nutrition and health

Keywords: questionnaires, pregnant woman, validation studies, food consumption.


 

 

Authors summary

Why was this study done?

This study was carried out with the perspective of validating an instrument for assessing food consumption for pregnant women. There is still a limited number of studies validating the use of Food Consumption Frequency Questionnaire for pregnant women in the different regions of Brazil. In view of the importance and the need for adequate methods of assessing food consumption, this questionnaire can be a valuable tool to be used in the surveillance of dietary practices during pregnancy in public health.

What did the researchers do and find?

The food consumption of 155 pregnant women attended at basic health units was assessed by the Food Consumption Frequency Questionnaire and the average of two 24-hour recalls was used as a reference method. The results indicated that the instrument showed evidence of validity for the investigated population.

What do these findings mean?

The Food Consumption Frequency Questionnaire showed to be a good instrument to be considered clinically as well as for research purposes with Brazilian pregnant women, this tool capable of properly measuring food intake is fundamental for establishing health conditions during pregnancy, helping to assess the association between diet, nutrition and health.

 

INTRODUCTION

Adequate nutrition during the gestational period may favor the development and fetal growth promoting a better pregnancy outcome1,2. Decision making in the context of prenatal nutrition and definitions of actions to promote healthy eating for pregnant women should, however, be based on reliable information about their eating habits. For that purpose, specific nutritional assessment instruments for this group should be sought2,3.

In nutritional epidemiological studies, the food consumption frequency questionnaire (FCFQ) is the most widely used method to estimate food intake. The FCFQ is an advantageous tool for monitoring eating habits and calculating the nutritional value of diets and possible nutritional deficiencies because, in addition to its relatively low cost, it makes it possible to gather information on a large number of foods and can be applied to large groups4,5.

For a FCFQ to be an instrument capable of properly measuring food intake, validation is an important area of study. In a previous study, the FCFQ was considered a valid and reliable instrument to assess nutrient or food intake during pregnancy2,6-9. The FCFQ must be adjusted and validated for use in the specific population where it will be applied, since the items that compose it need to consider ethnicity, customs, dietary taboos, food availability and socioeconomic conditions4,5.

It is essential that this instrument is sensitive to estimate food consumption in this population, which may undergo changes in diet due to the physiological and metabolic adjustments that occurred during pregnancy10,11. The lack of a specific instrument for assessing food consumption during pregnancy compromises the identification of dietary deficiencies or any association between diet and pregnancy results10,11 and, therefore, the need for accurate measures in this assessment.

Thus, this study aims to validate a food consumption frequency questionnaire for pregnant women attended at basic health units in the municipality of Montes Claros, Minas Gerais, Brazil.

 

METHODS

Study design and sampling

This is a cross-sectional study12, conducted from May to July of 2015, with pregnant women attended at 15 Basic Health Units (BHU) chosen at random in the Municipality of Montes Claros, Minas Gerais, Brazil. The BHU are part of the primary health care network. The protocol and the Free and Informed Consent Term were previously approved by the Ethics and Research Committee of the State University of Montes Claros under protocol nº. 911,577.

The sample composed of 155 pregnant women. The size of it was based on the recommendation of 100 pregnant women to validate food consumption assessment instruments13,14. The exclusion criteria considered, maternal age below 18 years and any diagnosis of diseases that can alter food intake during pregnancy (for example, gestational diabetes, heart disease, kidney disease and hypertension).

Application of instruments and nutritional assessment

The pregnant women were approached in the waiting room for prenatal care at the BHU. The individual interviews were first based on the FCFQ and then on the 24-hours recall (24h-R), this sequence was established to prevent the response to the recall affects the response to the questionnaire. The second 24h-R was applied by telephone, after an interval of 15 days. The instruments for assessing food consumption were not applied after Sundays and holidays, meaning, atypical days.

The FCFQ applied was based on the version validated by Ribeiro et al.15. In this instrument, foods were split in seven groups: cereals and legumes, oils and fats, desserts and snacks, meat and eggs, milk and dairy products, vegetables and fruits and drinks. The instrument consisted of 52 items. The FCFQ offered seven consumption options for each food: never; less than once a month; 1 to 3 times a month; Once a week; 2 to 4 times a week; Once per day; Twice or more per day.

The monthly and weekly frequencies obtained from FCFQ were transformed to a daily basis, dividing by 30 and 7 days, respectively. This result was multiplied by the number of times the interviewee reported have ingested that food on the day, by the number of portions and by the weight of the portion to obtain daily consumption. The 24h-R consisted of reporting the food items consumed the previous day. A photo album was used to assist the interviewees in describing the amount of food consumed16.

A pilot study with the application of the FCFQ and the two 24h-R was carried out with a sample of 10 pregnant women in order to practice and improve the procedures. In this phase, a researcher was trained to apply the instruments, following instructions on personal behavior and guidelines to conduct the interview. The data obtained in the pilot study did not integrate the final analysis.

A database was built containing the nutritional composition of foods based on the Brazilian Food Composition Table17 and the Chemical Food Composition Table18. For some foods, the composition was based on the consultation of labels, and for others it was necessary to search for recipes, identifying ingredients and quantities used in their preparation.

The consumption of energy and the following nutrients was evaluated: carbohydrates, proteins, lipids, saturated fats, monounsaturated fats, polyunsaturated fats, cholesterol, calcium, iron, potassium, retinol, vitamin B6, vitamin B12, vitamin C, vitamin D, thiamine, riboflavin, niacin, zinc and folic acid.

Statistical Analysis

For each item, the results of the FCFQ were compared with the average of the two 24h-R. Categorical variables were compared using the chi-square test. The average difference between the instruments and the limits of agreement (LOA) were calculated using the methodology proposed by Bland and Altman19. Pregnant women were classified into quartiles according to consumption.

The calorie and nutrient consumption data were transformed into logarithms for normalization before applying Pearson's correlation tests. Correlations were applied to the raw data and also to the corrected data for total calorie consumption. The correlation adjusted for caloric consumption consisted of the correlation between the standardized residues obtained by the FCFQ and the 24h-R.

The validity of the FCFQ was also tested using the Intraclass Correlation Coefficient (ICC), both for raw nutrients transformed into logarithms and for nutrients corrected by energy. The medians and quartiles Q1 and Q3 of the nutrient consumption data were calculated for both instruments. The ratio of the estimated nutrients between the instruments was obtained by dividing the average of nutrients calculated on the FCFQ by the average calculated from the 24h-R. For this, the data was used transforming into logarithms and adjusted for energy.

Statistical analyzes were performed using SPSS Software version 19, considering a significance level of 0.05.

 

RESULTS

The sample consisted of 155 pregnant women aged 20 to 42 years (mean 29 years) and gestational age of 12 to 38 weeks.

The descriptive data of Table 1 illustrates the analysis of the mean differences and the LOA between the two instruments (FCFQ and 24h-R). The estimate of energy consumption and most nutrients was higher by the FCFQ, with exceptions of consumption of polyunsaturated fatty acid, vitamin D, riboflavin, niacin and zinc. The minor differences between the instruments were in the estimate consumption of iron, vitamin B6 and thiamine. LOA were wide for most nutrients.

The compatibility between the instruments in the classification of pregnant women in consumption quartiles was variable (Table 2). On average, the classification obtained by the two instruments was similar for 26.11% of the comparisons, and in 12.1% of them the classification quartiles were opposite.

The raw values of the Pearson Correlation coefficient for log data ranged from -0.012 (iron) to 0.178 (potassium) before adjusting for caloric consumption and from -0.144 (carbohydrate) to 0.337 (potassium) after adjustment (Table 3). The ICCs ranged from -0.022 (iron) to 0.297 (potassium) before adjustment and -0.337 (carbohydrate) to 0.504 (potassium) after adjustment. With the exception of the ICC for potassium, no other correlation had a coefficient greater than 0.320.

Table 4 presents median and quartile values (Q1 and Q3) of consumption estimates based on the FCFQ and 24h-R, as well as the ratio between the results obtained with the two instruments. It was found that estimates from FCFQ were approximately 1.94 higher than those from 24h-R, with values 20% higher for almost all nutrients, except for riboflavin and polyunsaturated fatty acids.

 

DISCUSSION

This study evaluated the validity of a food consumption frequency questionnaire for assessing food consumption of pregnant women attended at basic health units. The data obtained support a partial validation of the questionnaire. Considering the importance of validating FCFQ for pregnant women, the results can contribute to portray the eating habits of this population as well as support the development of more robust versions of FCFQ for Brazilian pregnant women.

In the analysis of agreement between the FCFQ and 24h-R instruments, wide limits of values were observed. These differences have been already mentioned in the scientific literature about questionnaire validation for the assessment of food consumption20,21, and may be caused, in part, by the inability of some participants to estimate their own diet. This result suggests the refinement of the instrument or even in the application procedures in order to minimize this type of error.

In the classification of pregnant women in consumption quartiles for each item, the average percentage of agreement was about 26%, ranging from 19% for carbohydrate consumption to 33.3% for consumption of poly-instilled fatty acids. Higher percentages of agreement in the same quartile, in the order of 70%, were reported in the estimate of nutrient consumption of pregnant women attended by the National Health System - SUS (Sistema Unico de Saúde) in Ribeirão Preto, São Paulo, Brazil10.

Similar to our findings, an study in Rio Grande do Sul reported a classification in the same consumption quartile in 30% of pregnant women attended by SUS20. Still, studies with the pregnant population are limited, but there are examples with adult populations that validate FCFQ with concordance of classification in the same quartile in the range of 36%22. Likewise, the proportion of classification in opposite quartiles found in 12% of pregnant women of our study is similar to that reported in a research that validated a FCFQ for adults23.

The Pearson's correlation coefficients found were below expectations. Low correlation was also found in studies of validation of FCFQ for pregnant women in Rio Grande do Sul20 and Ribeirão Preto10. However, the coefficients in general increased when consumption was corrected by energy consumption. This same technique applied to validation studies of food frequency questionnaires for adolescents24 and adults21 increased the correlations.

However, caloric consumption correction does not always increase the correlation coefficients, as shown in the work of Isobe et al.8. Adjustment to caloric consumption can increase correlation coefficients when the variability of nutrients consumed is related to energy and can decrease when the variability of nutrient consumption is subject to systematic errors of under or overestimation of consumption25.

In the present study, Pearson's correlation coefficient for data corrected for caloric consumption was on average 0.099 (from -0.144 to 0.337). In a study with American pregnant women, the correlation coefficients between FCFQ and recalls varied between 0.03 and 0.5226, and in an investigation with pregnant women in the United Kingdom, they were higher, from 0.19 to 0.4727.

The ICCs of the present study were higher than those of Pearson, and the average of 0.160 (from -0.337 to 0.504 for data corrected for consumption). But compared to other studies, they were low. The range of ICCs in a questionnaire validation study for Chinese pregnant women was 0.32 for food groups and 0.44 for nutrients. Correlation coefficients suitable for questionnaire validation are considered above 0.420.23, but in the present study this minimum value was obtained only for ICC, referring to potassium consumption.

Correlation values between instruments should be analyzed with caution as they can be changed depending on how the data is organized. In a similar study carried out in China28 in pregnant women, higher levels of correlations were observed with the grouping of foods due to the similarity of nutrients or culinary use28. The grouping of nutrients according to the types of food can assist in a broader investigation of those that should be reinforced in the diet of pregnant women.

In general, the estimates of consumption obtained for pregnant women by the FCFQ were higher than those obtained by the 24h-R. Previous study obtained similar results and suggest that this condition is motivated by the desire for social acceptance of pregnant women and idealization of healthy eating, which are more pronounced in this phase20.

It should be considered that a limitation of the study was the low number of recalls used in the population studied. According to Baer et al.26, when the number of 24h-R employed as a standard of comparison is low, the intra-individual variability in the estimation of energy and nutrients during pregnancy increases, reducing the agreement between the instruments. In addition, gestational age by quarters was not considered in the sample10,11.

Another point to be highlighted is that it is necessary to certify the adequacy of the list of foods and the portions. The accuracy of 24h-R depends on the interviewee's memory and the ability to remember and report the foods and portions consumed and even using statistical procedures that aim to correct the correlation coefficients, the instrument will present common sources of errors when compared to the FCFQ. Still, in the instruments of food frequency estimation it is common to have an error of memory bias between one and another interview10,11.

FCFQ validation studies seek to quantify the measurement errors of the instrument, which can occur between two instruments that measure the same exposure, for a single instrument applied differently or even between different populations. Still, the development of a FCFQ is a dynamic process that requires constant improvement. In the present study, the FCFQ was based on an instrument originally validated for adults and adapted for the region. Therefore, the possibility of other adjustments to this questionnaire should be considered in order to better represent the set of foods consumed by the population studied.

The FCFQ is the most feasible tool to identify the relationship between diet, cardiovascular disease and diabetes25. For pregnant women, this instrument can be valuable in detecting deficiencies in the consumption of specific foods, thus indicating the existence of nutritional problems and minimizing the incidence of diseases.

In addition, the FCFQ can be used to identify the dietary patterns of a population, currently considered a tool that has the potential to be used in assessing the relationship between diet and pregnancy results, in a comprehensive and complementary way29.

However, its application for Brazilian pregnant women is still little explored, and most of the works that adopt the FCFQ use it without validating it for this specific population. An instrument capable of properly measuring food intake is a fundamental tool for establishing health conditions during pregnancy, helping to assess the association between diet, nutrition and health.

In this sense, the study by Oliveira et al.3, who was a pioneer in the validation of FCFQ for pregnant women in Brazil, should be highlighted. Based on it, analyzes of reproducibility and relative validation of the FCFQ as developed in this study are still in progress and will allow the assessment of its accuracy for investigating the usual food intake of this population group.

Bearing in mind that food intake is not estimated without error, it is necessary to constantly improve instruments that measure it so that distortions between the instruments used are minimized.

In the area of maternal and child health, specifically in the assessment of growth and development, there is an increasing number of questionnaires available and, in this perspective, validation is an important field of study30-32. The assessment of the quality of the instruments is essential for the legitimacy and credibility of the research results to support health professionals in their clinical practice .

Thus, this instrument has the potential to be used to assess food consumption in pregnant women in Brazil.

 

REFERENCES

1.Christian P, Mullany LC, Hurley KM, Katz J, Black RE. Nutrition and maternal, neonatal, and child health. Semin Perinatol. 2015;39(5):361-72. DOI: https://doi.org/10.1053/j.semperi.2015.06.009        [ Links ]

2.Gomes CB, Vasconcelos LG, Cintra RMGC, Dias LCGD, Carvalhaes MABL. Hábitos alimentares das gestantes brasileiras: revisão integrativa da literatura. Cienc Saúde Coletiva. 2019;24(6):2293-2306. DOI: http://dx.doi.org/10.1590/1413-81232018246.14702017        [ Links ]

3.Oliveira T, Marquitti FD, Carvalhaes MABL, Sartorelli DS. Desenvolvimento de um Questionário Quantitativo de Frequência Alimentar (QQFA) para gestantes usuárias de unidades básicas de saúde de Ribeirão Preto, São Paulo, Brasil. Cad Saude Publica. 2010;26(12):2296-306. DOI: http://dx.doi.org/10.1590/S0102-311X2010001200008        [ Links ]

4.Willett WC. Future directions in the development of food-frequency questionnaires. Am J Clin Nutr. 1994;59(Suppl1):171S-4. DOI: https://doi.org/10.1093/ajcn/59.1.171S        [ Links ]

5.Willett WC. Nutritional epidemiology. 2 ed. New York: Oxford University Press, 1998.         [ Links ]

6.Zhang H, Qiu X, Zhang C, Zhang K, Xiao M, Yi N, et al. Reproducibility and relative validity of a semi-quantitative food frequency questionnaire for Chinese pregnant women. Nutr J. 2015;14:56. DOI: https://doi.org/10.1186/s12937-015-0044-x        [ Links ]

7.Dwarkanath P, Soares MJ, Thomas T, Vaz M, Swaminathan S, Kurpad AV. Food Frequency Questionnaire is a valid tool for the assessment of dietary habits of South Indian pregnant women. Asia Pac J Public Health. 2014;26(5): 494-506. DOI: https://doi.org/10.1177/1010539512459945        [ Links ]

8.Isobe MT, Bertola MR, Zuccolotto DCC, Sartorelli DS. Influência da escolaridade na reprodutibilidade de um questionário quantitativo de frequência alimentar para gestantes. Rev Bras Saúde Mater Infant. 2013;13(1):23-8. DOI: http://doi.org/10.1590/S1519-38292013000100003        [ Links ]

9.Vian I, Zielinsky P, Zilio AM, Mello A, Lazzeri B, Oliveira A, et al. Development and validation of a food frequency questionnaire for consumption of polyphenol-rich foods in pregnant women. Matern Child Nutr. 2015;11(4):511-24. DOI: http://doi.org/10.1111/mcn.12025        [ Links ]

10.Barbieri P, Nishimura RY, Crivellenti LC, Sartorelli DS. Relative validation of a quantitative FFQ for use in Brazilian pregnant women. Public Health Nutr. 2013;16(8): 1419-26. DOI: http://doi.org/10.1017/S1368980012003783        [ Links ]

11.Barbieri P, Crivellenti LC, Nishimura RY, Sartorelli DS. Validation of a food frequency questionnaire to assess food group intake by pregnant women. J Hum Nutr Diet. 2015;28(Suppl 1):38-44. DOI: http://doi.org/10.1111/jhn.12224        [ Links ]

12.Zangirolami-Raimundo J, Echeimberg JO, Leone C. Research methodology topics: Cross-sectional studies. J Hum Growth Dev. 2018;28(3):356-360. DOI: http://dx.doi.org/10.7322/jhgd.152198        [ Links ]

13.Willett W, Lenart E. Reproducibility and validity of food-frequency questionnaires. In: Willett W. Nutritional epidemiology. New York: Oxford University Press, 1998. p. 101-47.         [ Links ]

14.Cade J, Thompson R, Burley V, Warm D. Development, validation and utilization of food-frequency questionnaires - a review. Public Health Nutr. 2002;5(4):567-87. DOI: https://dx.doi.org/10.1079/PHN2001318        [ Links ]

15.Ribeiro AC, Sávio KEO, Rodrigues MLCF, Costa THM, Schmitz BAS. Validação de um questionário de frequência de consumo alimentar para população adulta. Rev Nutr. 2006;19(5):553-62. DOI: http://dx.doi.org/10.1590/S1415-52732006000500003        [ Links ]

16.Monteiro JP, Pfrimer K, Tremeschin MH, Molina MC, Chiarello PC. Nutrição e metabolismo. Consumo alimentar: visualizando porções. Rio de Janeiro: Guanabara Koogan, 2007.         [ Links ]

17.Núcleo de Estudos e Pesquisas em Alimentação (NEPA). Universidade Estadual de Campinas (UNICAMP). Tabela brasileira de composição de alimentos (TACO). 4 ed. Campinas: UNICAMP, 2011.         [ Links ]

18.Universidade Federal de São Paulo (UNIFESP). Tabela de composição química dos alimentos. São Paulo: Departamento de Informática em Saúde. . [cited 2015 Jul 02] Available from: http://www.unifesp.br/dis/servicos/nutri/        [ Links ]

19.Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1(8476):307-10.         [ Links ]

20.Giacomello A, Schmidt MI, Nunes MAA, Duncan BB, Soares RM, Manzolli P, et al. Validação relativa de questionário de frequência alimentar em gestantes usuárias de serviços do sistema único de saúde em dois municípios no Rio Grande do Sul, Brasil. Rev Bras Saúde Matern Infant. 2008;8(4):445-54. DOI: http://dx.doi.org/10.1590/S1519-38292008000400010        [ Links ]

21.Molina MCB, Benseñor IM, Cardoso LO, Velasquez-Meléndez G, Drehmer M, Pereira TSS, et al. Reprodutibilidade e validade relativa do questionário de frequência alimentar do ELSA-Brasil. Cad Saude Publica. 2013;29(2):379-89. DOI: http://dx.doi.org/10.1590/S0102-311X2013000200024        [ Links ]

22.Zanolla AF, Olinto MTA, Henn RL, Wahrlich V, Anjos LA. Avaliação de reprodutibilidade e validade de um questionário de frequência alimentar em adultos residentes em Porto Alegre, Rio Grande do Sul, Brasil. Cad Saude Publica. 2009;25(4): 840-8. DOI: http://dx.doi.org/10.1590/S0102-311X2009000400015        [ Links ]

23.Machado FCS, Henn RL, Olinto MTA, Anjos LA, Wahrlich V, Waissmann W. Reprodutibilidade e validade de um questionário de frequência alimentar por grupos de alimentos, em adultos da Região Metropolitana de Porto Alegre, Brasil. Rev Nutr 2012; 25(1):65-77. DOI: http://dx.doi.org/10.1590/S1415-52732012000100007        [ Links ]

24.Voci SM, Enes CC, Slater B. Validação do questionário de frequência alimentar para adolescentes (QFAA) por grupo de alimentos em uma população de escolares. Rev Bras Epidemiol 2008;11(4):561-72. DOI: http://dx.doi.org/10.1590/S1415-790X2008000400005        [ Links ]

25.Mannato LW, Pereira TSS, Velasquez-Melendez G, Cardoso LO, Benseñor IM, Molina MC. Comparison of a short version of the Food Frequency Questionnaire with its long version - a cross-sectional analysis in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Sao Paulo Med J. 2015;133(5):414-20. DOI: http://dx.doi.org/10.1590/1516-3180.2014.00533004        [ Links ]

26.Baer HJ, Blun RE, Rockett HRH, Leppert J, Gardner JD, Suitor CW, et al. Use of a food frequency questionnaire in American Indian and Caucasian pregnant women: a validation study. BMC Public Health. 2005;5:135. DOI: https://doi.org/10.1186/1471-2458-5-135        [ Links ]

27.Mouratidou T, Ford F, Fraser RB. Validation of a food-frequency questionnaire for use in pregnancy. Public Health Nutr. 2006;9(4):515-22. DOI: https://doi.org/10.1079/phn2005876        [ Links ]

28.Yuan MY, He JR, Chen NN, Lu JH, Shen SY, Xiao WQ, et al. Validity and reproducibility of a dietary questionnaire for consumption frequencies of foods during pregnancy in the Born in Guangzhou Cohort Study (BIGCS). Nutrients. 2016;8(8): E454. DOI: https://doi.org/10.3390/nu8080454        [ Links ]

29.Chen X, Zhao D, Mao X, Xia Y, Baker PN, Zhang H. Maternal dietary patterns and pregnancy outcome. Nutrients. 2016; 8(6):E351. DOI: https://doi.org/10.3390/nu8060351        [ Links ]

30.Martins MA, Neves AN, Moss T, Martins WH, Pereira GV, Pessôa KVO, et al. Cross Cultural adaptation into Brazilian Portuguese language of Derriford Appearance Scale 24 (DAS-24) for people living with HIV/AIDS. J Hum Growth Dev. J Hum Growth Dev. 2019;29(2):200-15. http://dx.doi.org/10.7322/jhgd.000000        [ Links ]

31.Almeida RC, Zachêu PRZ, Diniz MT, Dias MCCPO, Guiguer IC, Almeida RC, et al. Portuguese translation and Brazilian cultural adaptation of the Assessment of Burden in Chronic Venous Disease questionnaire (ABC-V). J Hum Growth Dev. 2018; 28(1):89-94. DOI: http://dx.doi.org/10.7322/jhgd.143885        [ Links ]

32.Montoro APPN, Capistrano R, Ferrari EP, Reis MS, Cardoso FL, Beltrame TS. Concurrent validation of the MABC-2 and Developmental Coordination Disorder Questionnaire-BR. J Hum Growth Dev. 26(1): 74-80. DOI: http://dx.doi.org/10.7322/jhgd.110421        [ Links ]

33.Badaró FAR, Araújo RC, Behlau M. The Copenhagen neck functional disability scale - CNFDS: translation and culturaladaptation to Brazilian portuguese. J Hum Growth Dev. 2014; 24(3):304-12. https://doi.org/10.7322/jhgd.88965        [ Links ]

 

 

Correspondence:
ana.carolina.farmaceutica@hotmail.com

Manuscript received: May 2019
Manuscript accepted: November 2019
Version of record online: March 2020

Creative Commons License